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Interview with Doug Randall, CEO, Protagonist

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Doug Randall Protagonist

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[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“The creative aspect of marketing can’t be replicated by a machine and humans will always be part of utilizing the data that AI delivers.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us about your role and how you got here? What inspired you to start a narrative analytics company?
When I co-founded Protagonist, I didn’t really know we were building a narrative analytics company when we first started. I had been working in a boutique consulting firm after grad school on the East Coast, but became intrigued by what was happening in the Bay area in technology, with its innovation and startup culture. In 1997, I headed to San Francisco to become a part of it.

I worked in business development at several tech companies, but also got back into strategy consulting, where I became a partner at the Monitor Group. We used our consulting and analytics experience to uncover deeply held beliefs (narratives) about our customers, and quickly realized the power of this type of data to help clients better engage and connect with their audiences. Monitor Group became Protagonist. The consultants were traded for data scientists and engineers. And here I am today.

MTS: How do narrative analytics platforms impact customer engagement and drive revenue-focused actions?
Narrative Analytics exposes the deeply held beliefs that drive consumer actions. These beliefs might be working for or against a company, and understanding them enables marketers to create messages that resonate with existing and potential customers. Think of Protagonist data as quantified empathy, or empathy at scale. We uncover what people actually believe and say across digital media and other platforms and package it up in a usable way. Then we conduct a range of analytics on those narratives so our customers can take control of the narratives impacting them.

Narrative Analytics tells marketers where their brand is at risk, where it is performing well, and where there is the opportunity to better connect with a buyer. In today’s post-fact world — where opinions and beliefs are hard to detect but incredibly powerful, it’s valuable to use data to show how to create that connection. Protagonist gives marketers powerful, data-based insights that can be used to drive more revenue. Understanding what customers care about allows marketers to build a closer relationship, and may influence or, at times, help create new systems of belief. Think about how food companies are being impacted today by narratives about sugar, manufacturing companies are connected to narratives about globalization, and just about everyone is trying to understand the motivating beliefs of millennials.

MTS: How do you bring together the benefits of data science, technology, and marketing insights into the customer journey?
For as long as marketing has existed, it’s been primarily based on intuition or limited data. Companies have either relied on polls and social media roundups that are generally unfulfilling or have created campaigns on gut instinct alone. Narrative Analytics uses data science and natural language processing to analyze millions of data points from a multitude of sources, which gives marketers hard insights that they can use to strategize. The technology behind Protagonist enables marketing to be based on real data science, not instinct and makes it clear what customers really value by delivering empathy at scale. A successful customer journey is one that makes the customer feel understood and unique for the duration of the sales process and beyond. Narrative Analytics helps marketers create that better than any solution today.

MTS: To what extent can marketers predict and influence the audience actions using narrative analytics?
Narrative Analytics is among the most powerful tools in a marketers’ arsenal when it comes to understanding and influencing audiences. Some examples: one major bank used Protagonist to identify under-addressed narratives in the industry after newer competitors took center stage. The company used those narratives to revitalize its brand, exceed revenue targets, win a major marketing award, as well as the respect of the industry. Another company–a consumer brand–used Narrative Analytics to test how different internal policies shaped its reputation as an employer. A third, a consumer products company, uncovered a narrative that resonated powerfully with its local audience and was able to tap into that narrative with a wildly successful ad campaign that achieved revenue and pipeline targets. Narrative Analytics is used to counter terrorism and to shift population beliefs on sensitive political issues ranging from educational reform to climate change. Those are just a few top-of-mind examples of what narrative analytics can do.

MTS: Using narrative strategies, is it possible to scale the existing social, traditional and media engagements for a truly refined omnichannel customer experience?
It’s absolutely possible. Marketers engage with consumers in a multitude of channels, but every engagement needs to be informed by the underlying beliefs of their audiences. Narrative Analytics provides marketers with information about how to engage with their audiences and feedback about how their efforts are altering people’s beliefs. Social and traditional media are some of the ways that they get that message across.

MTS: Do you feel that institutional barriers pose the biggest restrictions for intelligence analysts to turn into decision-making leaders?
The process of intelligence analysis is very different from decision making.  The first is about dispassionate analysis and seeks the truth. You need great data, great technology, and tradecraft. The second is about risk calculation and deciding action. You need judgment and some level of wisdom. Intelligence agencies responsible for the country’s security actually separate these two functions so that neither is clouded. In reality, though, the best analysts understand how decisions will be made with their analysis and the best decision makers understand how the analysis was done.  One thing I love about Narrative Analytics is that we analyze the issue executives care about most — narratives. Rather than providing data that needs to be interpreted and processed before making decisions, all the analysis is done about narratives. This makes it very user-friendly for senior decision makers.

MTS: What startups are you watching/keen on right now?
We watch everything in natural language processing, machine learning, and AI to understand where to partner and what ideas we can borrow from others.  We also keep our eye on everyone in analytics — particularly marketing analytics.  But, we spend more of our time asking the customer what they wish they had so we can create it for them.

MTS: What tools does your marketing stack consist of in 2017?
At Protagonist our marketing tech stack consists of SFDC for our CRM, Pardot for marketing automation, we use Slack internally for communication, Trello for project management, Zapier to facilitate some integrations, Google Analytics, Google and Adroll for retargeting and other display. Of course we also use the Protagonist platform to generate insights for our content like the blog.

MTS: Would you tell us about your standout digital campaign? (Who was your target audience and how did you measure success?)
We’ve had a lot of success with promotion of our Building the Modern Market Research Stack ebook, targeting marketing and communications executives at large enterprise companies and leading foundations. This provides helpful guidance on how to assess the pros and cons of the market research tools we have available today and then build a market research stack that fits the needs of your business. We measure campaigns based on MQL & pipeline creation and ROI metrics like pipe to spend.

MTS: How do you prepare for an AI-centric world as a leader in marketing intelligence industry?
There’s a lot of noise in the tech world about artificial intelligence, but the reality is that AI means many different things. AI is used to refer to automation, to chatbots, and to intelligent data processing like narrative analytics. As a marketing leader, the best thing that you can do is take a step back and decide how to use AI to make yourself more efficient and better able to meet organizational and customer needs. In spite of some of the arguments out there, marketers aren’t at risk of becoming obsolete, just the opposite in fact.

The creative aspect of marketing can’t be replicated by a machine and humans will always be part of utilizing the data that AI delivers. However, there are types of AI that can make marketers more powerful by doing work that otherwise would require much more time and processing power. Using narrative analytics is essentially equivalent to reading, retaining, and analyzing every single piece of content, data and conversations that your audience is exposed to. If marketers want to understand how to use AI today, they should ask themselves, “what would I do given unlimited time and resources? Is there a program that can do that for me?” As consumer tolerance for irrelevant marketing plummets, the pressure on marketers to deliver empathy-based messages that really resonate has gotten intense. Strategically used AI is a good way to alleviate that pressure and combine the best of both worlds..

This is How I Work

MTS: One word that best describes how you work.
Mindful (aspiring)

MTS: What apps/software/tools can’t you live without?
I’m a fan of Slack because it keeps me connected to the rest of the team. Salesforce is always open on my laptop to stay close to customers. Spotify: I love listening to good music while working.

MTS: What’s your smartest work related shortcut or productivity hack?
I separate personal and business email and access the work ones when I’m working and personal ones when I’m not. This keeps me focused on the task at hand.

MTS: What are you currently reading? 
I am currently reading Simon Sinek’s book, Leaders Eat Last. I love the simplicity and depth of his thinking.

MTS: What’s the best advice you’ve ever received?
One of my mentors told me to always make sure the next person you hire is better than the last one. This means you need to always be upping the game and striving for success. Focus on great talent to accomplish this. And make sure you’re never the smartest guy in the room (which isn’t hard given the talent at Protagonist).

MTS: Tag the one person in the industry whose answers to these questions you would love to read:
Brad Jefferson, Animoto.

MTS: Thank you Doug! That was fun and hope to see you back on MarTech Series soon.

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Doug is Founder & CEO of Protagonist which is a high growth Narrative Analytics company. Protagonist mines beliefs in order to energize brands, win narrative battles, and understand target audiences.

Protagonist uses natural language processing, machine learning, and deep human expertise to identify, measure, and shape narratives. The Protagonist platform was built on 10 years of narrative science that was initially developed to improve the American brand around the world for the US Government. Today, it’s used by dozens of the world’s leading CMOs, business leaders, and foundations.

Doug has lectured on a number of topics at the Wharton School, Stanford University, and National Defense University; his articles on future technology trends have appeared in the Financial Times, Wired, and Business 2.0. He was previously a partner at Monitor, founder of Monitor 360 and co-head of the consulting practice at Global Business Network (GBN). Before that, he was a Vice President at Snapfish, a senior consultant at Decision Strategies, Inc., and a senior research fellow at the Wharton School.

Doug received his BA from the University of Pennsylvania and his MBA from the Wharton School. He is on the board of the Kitchen SF, a member of Young Presidents’ Organization, and has a daily Ashtanga / Vinyasa Flow and meditation practice.

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Protagonist
Protagonist is Narrative Analytics company. We uncover deeply held beliefs (narratives) in order to energize brands, win competitive battles, and better engage and understand target audiences. Protagonist uses natural language processing, machine learning, and deep human expertise to gather and analyze billions of pieces relevant data to give customers the insights they need for marketing, product development, and communications strategies. The Protagonist platform was built on 10 years of narrative science that was initially developed to improve the American brand around the world for the US Government. Today, it’s used by dozens of the world’s leading CMOs, business leaders, and foundations.

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[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

Dreamforce TechBytes with Ed King, CEO, Openprise

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Ed King Openprise

Ed King
Founder & CEO – Openprise

Salesforce Dreamforce is one of the biggest software conferences in the world. In the run-up to this event, we unveil our special TechByte series featuring high-profile Dreamforce attendees and MarTech Champions. We spoke to Openprise CEO Ed King about CX and his expectations from Dreamfrorce.

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MTS: What tops your agenda at Dreamforce 2017?
Ed King:
Lead and account scoring! Today at Dreamforce, Openprise is announcing new lead and account scoring capabilities. The reality is that most companies today are just winging it when it comes to lead scoring–there’s no science to what gets scored and why. It’s all just gut-feel.

As a result, many sales teams don’t trust their scoring models and just ignore them, and many sales teams are failing to engage with leads at the right time—slowing sales cycles, reducing sales productivity, and ultimately, missing revenue opportunities. Today we’re providing sales and marketing professionals with a more powerful, flexible scoring capabilities to accurately model the unique buying behavior of any company’s prospects at every stage in the buyer’s journey.  Feel free to stop by booth 116 or 1537 to learn more about it.

Also Read: Dreamforce TechBytes with Scott Brinker, VP Platform Ecosystem, HubSpot

MTS: Tell us more about how Salesforce customers could leverage Openprise’s Data Marketplace and Data Mechanic for higher ROI?
Ed: 
Openprise Data Marketplace is a one-stop shop for 3rd party data to enrich your sales and marketing data. It includes all the business processes to ingest and manage that data from multiple providers built right in. Companies save time and money and eliminate complexity in accessing and integrating the data they need for successful campaigns.

Data Mechanic is our managed services offering for people who don’t have the resources to roll up their sleeves and invest hands-on time with our solution. We take care of absolutely everything using our best practices, so customers see results fast, and companies can focus on their other strategic initiatives.

The ROI of these solutions is huge, and comes from dozens of places, but it rolls up into better campaign performance, higher revenue and lower cost. When you can segment better, personalize better, score better and route better, you’re going to have real impact on the top line. On top of that, you’re going to save time and effort which affects the bottom line.  When you eliminate a lot of manual processes, you’re saving money.

There’s also the softer side in terms of morale and employee retention. We have a saying about manual processes, and that’s “nobody goes to college to do that stuff.” You eliminate those mind-numbing repetitive tasks, your employees are happier and they don’t leave as much.

MTS: What are the key challenges to data cleaning and unification of marketing data across cross-channel streams?
Ed:
Companies are constantly adding more and more data sources and tying more systems together. That results in a huge data normalization problem that makes it difficult to do good attribution, lead scoring, and lead routing. Our latest research shows that companies that were most happy with their data providers are working with three or more data providers, which makes sense since no one data provider has everything a company needs, but each one of those has their own field values.  Openprise orchestrates the entire process to keep your database clean and standardized with your unique field values, not theirs.

We’re also seeing more and more companies doing more than just integrating their sales automation, marketing automation, and service solutions. They’re also integrating with their product user database to score leads based on user behavior in free trials and in freemium products. That adds another level of complexity that Openprise is managing for customers.

MTS: In the age of Customer Experience, how does Openprise enable customers to become transformational leaders?
Ed:
Transformational leadership is about leaders and team members working together to identify needed change, creating a vision to guide the change through inspiration, and executing the change with a committed group of people. Openprise is enabling companies to become far more data-driven in their ability to identify and quantify the need for change, and in measuring the results of the changes the team is making.

Also read: Also Read: Dreamforce Techbytes with Joe Hyland, Chief Marketing Officer, ON24

MTS: What makes GDPR Compliance from Openprise a keenly followed product in MarTech? How are you helping companies onboard the GDPR Compliance?
Ed:
The latest release of the Openprise Data Orchestration Platform now includes new capabilities for GDPR compliance. It provides visibility, control, and access management inside and outside of a company, without the added complexity of traditional compliance solutions. Specifically, Openprise can control the flow of EU data out of a company through fine-grained data filters and permission Roles.  Openprise also identifies leads and contacts that fall under GDPR, even if they’re missing a valid country field value.  It also maintains detailed reporting on all data processing activities inside Openprise and across third parties.

MTS: What marketing technologies are you looking forward to at Dreamforce 2017?
Ed:
There’s been a lot of buzz about AI in the last year, and with many vendors there’s more smoke and mirrors than substance. I’m looking forward to seeing what companies are actually delivering at this event.

MTS: What sessions are you attending at Dreamforce 2017?
Ed:
The keynotes! We’re Salesforce groupies here at Openprise. We can‘t wait to see what Marc Benioff has in store for us.

MTS: Thanks for chatting with us, Ed.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

Dreamforce TechBytes with Matt Ostanik, CEO, FunnelWise

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Matt Ostanik
Matt Ostanik, Founder & CEO at FunnelWise

Matt Ostanik
CEO,  FunnelWise

Salesforce Dreamforce is one of the biggest software conferences in the world. In the run-up to this event, we unveil our special TechByte series featuring high-profile Dreamforce attendees and MarTech Champions. We spoke to FunnelWise CEO Matt Ostanik about the evolution of revenue funnel science.

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MTS: How has Revenue Funnel Science evolved in terms of MarTech maturity?
Matt Ostanik: 
Revenue Funnel Science™ and MarTech go hand-in-hand. Revenue Funnel Science is a framework to utilize the information you can get from your marketing and sales technology stack. Companies mature over time with their use of both Revenue Funnel Science and MarTech. Here is a great article about how the maturity cycle for both and how they are linked.

MTS: What’s the core tenet of offering full-funnel intelligence to modern businesses?
Matt: 
Imagine your marketing and sales funnel is an assembly line in a factory. You built the factory, purchased the equipment and are paying the laborers (your marketing and sales staff) to run the factory for you. The factory gets fed with raw materials (new leads and prospects), and the output is new paying customers for your business.

Revenue Funnel Science, funnel diagnostics and full-funnel intelligence are the tools and methodology that tell you if your factory assembly line is operating as effectively as it could be. If it is not, then they also provide the intelligence to help you make the necessary changes to improve. In most modern businesses, their marketing and sales “factory assembly lines” are growing increasingly more complex. Full-funnel intelligence allows businesses to ensure they are not only gaining visibility into their funnel but also provides diagnostics to point out what actions will optimize and maximize the new revenue that comes from it.

MTS: As the CEO of a marketing and sales intelligence company, what’s the biggest draw for you at Dreamforce 2017?
Matt: 
The biggest draw for me at Dreamforce is the opportunity to connect with and learn from other very innovative people in the marketing and sales technology and Salesforce ecosystem! The activity and energy in this space is amazing, and I am thrilled to be a part of it.

MTS: What marketing technologies are you keen to explore at Dreamforce?
Matt: 
Artificial Intelligence (AI) has tremendous potential for marketing technology, but it still feels like it is in its infancy stages. I am keen to learn more about the latest AI developments from Salesforce and other industry leaders.

MTS: What are the biggest challenges for companies in achieving revenue goals?
Matt:
The biggest challenge I have seen is the ability for marketing and sales teams to understand the right pattern and frequency of actions to take in every stage of their funnel, and then to apply those “funnel playbooks” consistently across both marketing and sales. In our work with funnel analytics, we have built an extensive database of funnel performance metrics from many types and sizes of companies. We have then analyzed what differentiates the best performers from everyone else. The data has been very clear that the most important factor in consistently achieving revenue goals is to have deep visibility into how playbooks of the right marketing campaigns and right sales actions can drive the right results.

MTS: What message would you have for Dreamforce 2017 attendees?
Matt:
Enjoy your time at Dreamforce, have fun, and learn as much as you can!

MTS: Thanks for chatting with us, Matt.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

Also Read: Dreamforce TechBytes with Scott Brinker, VP Platform Ecosystem, HubSpot

Dreamforce TechBytes with Scott Brinker, VP Platform Ecosystem, HubSpot

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Scott Brinker
Scott Brinker, VP Platform Ecosystem, HubSpot

Scott Brinker
VP Platform Ecosystem, HubSpot

Salesforce Dreamforce is one of the biggest software conferences in the world. In the run-up to this event, we unveil our special TechByte series featuring high-profile Dreamforce attendees and MarTech Champions. We spoke to one the foremost experts on Martech, Scott Brinker, VP Platform Ecosystem, HubSpot, to find out what brings him to Dreamforce.

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MTS: What are your thoughts on the consolidation in the martech vendor space over the past 7 years?
Scott Brinker:
The martech vendor space is fascinating because it has been consolidating and expanding simultaneously for the past 7 years.

How is that possible? It’s consolidating because, over time, there have been a lot of acquisitions of martech companies, especially by the large “marketing cloud” providers. I recently analyzed 142 martech companies from 2010 and found that over 61% of them have been consolidated.

Yet at the same time, the overall landscape has been expanding at an extraordinary rate. The latest martech landscape that Anand Thaker and I produced in the spring of this year charted around 5,000 marketing technology companies.

This is driven by supply-side and demand-side factors. On the supply-side, the barriers to entry to creating software products are near zero, thanks to infrastructure-as-a-service and open source. On the demand-side, the growing scope of marketing — and the explosion of new marketing touchpoints and tactics — has created tremendous opportunity for innovative software startups to solve new marketing problems and help marketers better adapt to a rapidlychanginge environment.

Also Read: Interview with Anand Thaker, CEO & Founder at IntelliPhi

MTS: What is your biggest draw to attend Dreamforce 2017? What marketing technologies are you specifically looking to explore at Dreamforce?
Scott: Dreamforce is a fantastic example of a business software ecosystem at scale. It’s exciting to be able to meet so many different contributors in that community.
When I go to Dreamforce — or other events in this space — I prefer to approach it as an open-minded expedition of discovery. I’m interested in learning about marketing technologies that I hadn’t even heard of before, as well as new capabilities from existing vendors that I wasn’t anticipating. I’m looking to expand my mental model of what’s possible. And, one thing I’ve learned for certain in this industry: give a dozen martech vendors the time to demo their latest-and-greatest, and I guarantee that you will be surprised by what’s possible today that wasn’t even imagined a year ago.

MTS: How would GDPR impact a B2B company’s roadmap to managing data for customer experience and intelligence?
Scott: We need better control over the data we store. GDPR is a powerful catalyst for that, since the costs of not complying are so steep and quite tangible. But frankly, the cost of low quality or ungoverned data in marketing has been high for some time. Just very hard to quantify it. I’m glad the industry is starting to prioritize good data governance as the foundation of the modern marketing stack.

MTS: How should businesses make their customer experience more readily adaptable to human conversations post-GDPR?
Scott: Seth Godin nailed this two decades ago with permission marketing.

Consumers are willing to share data in exchange for value. But if we don’t deliver the value, they deserve the right to revoke that permission. I don’t think GDPR fundamentally changes this bargain: it simply makes it more explicit.

I think the word “conversation” is really important.

Conversational interfaces, such as chatbots and voice interfaces, are going to be a huge channel for marketing in the year ahead. I believe conversational interfaces will lend themselves to earning permission from customers on a more natural, incremental basis. You earn permission with every response in a dialog. But since this is a relatively new channel and communications context, we’ve got a lot of work to do to understand and deliver the best practices for it.

MTS: What’s the next frontier for automation and inbound marketing platforms to foster better interactions in connecting to prospects?
Scott: I’ll double down on conversational interfaces. This is the most exciting new paradigm in digital marketing since social media.

MTS: Thanks for chatting with us, Scott.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

Also Read: Dreamforce Techbytes with Joe Hyland, Chief Marketing Officer, ON24

Interview with Ed Bussey, CEO, Quill

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Ed Bussey
Interview with Ed Bussey, Founder & CEO - Quill

[mnky_team name=”Ed Bussey” position=”CEO, Quill”][/mnky_team]
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[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Consumers are now interacting with brands across more channels and touch points than ever before, the issue of maintaining consistency and providing customers with a cohesive brand experience is also becoming increasingly important.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us about your role and how you got here? What inspired you to start a content production company?
I began my career in the Royal Navy, followed by various security and counterterrorism roles with the UK diplomatic service. When the internet became more ubiquitous in the early 2000s, I was approached by an ex-colleague who I’d set up a business with at university, about an opportunity to become part of the founding team and Global Marketing Director of online fashion retailer figleaves.com.

It was during my time at figleaves.com that I came face to face with the problem that Quill now resolves. We were beating our traditional retail competitors by offering a range of products, brands, sizes, and colours, that far surpassed theirs. However, in some categories we had so many different products that consumers became so overwhelmed with the choice that they stopped buying anything – i.e. our conversion rates in some categories began to fall.

After a lot of customer research, it became clear that, whilst we had a very sophisticated ecommerce platform, we were devoid of the content that would help consumers make a purchase decision – the online equivalent of the shop assistant. We then looked around the market but couldn’t find any service that would help us streamline the enormous amount of Primary Content (i.e. product descriptions, buying guides, category descriptions etc.) that was going to be necessary to address the needs of our customers, and ultimately drive sales.

Producing high volumes of quality, on-brand content – increasingly in different languages – is a large and growing operational challenge for all ecommerce businesses. Finding a solution to this challenge is what inspired me to launch Quill. I wanted to purpose-build a completely new business model that could produce consistently high-quality content at the speed, scale, and efficiency demanded by the internet.

MTS: How easy is it for marketers to develop audience-specific content in 2017, compared to five years ago? Help us gauge the evolution of digital content as technology becomes more ubiquitous?
Technology is fundamentally changing consumer expectations of how brands should communicate with them, and as such, winning custom is no longer just about who has the best brand or even the best products, but rather who can also deliver the most relevant and seamless start-to-finish user experience, across all devices and channels.

Whilst these new expectations have created a more challenging and complex environment for brands, marketers also have greater access to better data than ever before on their audience segments – whether that’s simple location data, device usage data or nuanced information about their behaviours, and interests. Supported by this wealth of data and creative agencies, it is, generally speaking, quite straightforward for marketers to create audience-specific, campaign-based ‘hero’ content that drives brand awareness – for example, highly targeted advertising campaigns.

However, looking further down the purchase funnel, when it comes to creating the fundamental, critical content that converts browsers into buyers, like product descriptions – which are often required on a massive scale and at high speed, while maintaining brand tone of voice and audience relevancy – this is a real operational nightmare, and as a result such content is often neglected. This, in turn, has a huge negative impact on ROI on all marketing spend further up the funnel – no matter how Cannes-worthy the advertising campaign, if consumers are faced with sub-standard content at the point of purchase, they are far less likely to buy.

The challenge of creating on-brand, audience-specific Primary Content at speed and scale is one that can’t be resolved via traditional models (i.e. manual in-house processes) – and that demands a technological solution. This is why the Quill model is built on the unique combination of a global network of skilled freelance content creators and technology that enables scale through intelligent automation.

MTS: How should CMOs drive consistent brand alignment using content marketing technologies?
Given that consumers are now interacting with brands across more channels and touch points than ever before, the issue of maintaining consistency or alignment – and providing customers with a cohesive brand experience – is also becoming increasingly important. Digital content needs to be on-brand at all levels and touch points in the buying journey, whether it comes in the form of an advert, promotional email, customer service chatbot or a product description.

We believe that talented creatives and editors are critical to the creation of on-brand content. But at the point where content volumes become significant (for example, if you need to produce thousands of consistently on-brand category descriptions), it’s essential that these creatives are supported by technology that helps them to check for inconsistencies, errors and brand compliance – otherwise it’s inevitable that mistakes will be made. That’s why we’ve invested in building automated quality control features into our Quill Cloud platform, which are designed to check for things like banned and encouraged brand vocabulary, appropriate use of keywords and spelling and grammatical errors.

By automating some of these otherwise time-consuming manual processes, you can release your creative talent to focus on areas that leverage their skills and expertise – like injecting flair into a headline or ensuring content resonates with the brand tone of voice.

MTS: What startups are you watching/keen on right now?
A personal favourite of mine is Strava – an app that I use for running and mountain climbing. It’s basically a social network for sports enthusiasts and athletes that shows you who’s done the route before you and what their times were. By automatically tracking data from its registered users, Strava brings an element of fun competition into solo sports.

MTS: What marketing tools do you offer in 2017?
We offer a content production solution that rips up the rulebook for how high volumes of content are usually produced. Our solution is based on a unique model that combines our pioneering Quill Cloud technology – a platform that automates all of the time-consuming manual processes in content production – with a global network of screened content creation specialists. It’s this unique combination of talent and technology that enables us to deliver error-free content at unparalleled speed and scale.

We have also developed the Quill Quality Score, an industry benchmark used to assess the content experience on ecommerce sites and show companies how they can improve their content.

MTS: Would you tell us about your standout digital campaign? (Who was your target audience and how did you measure success?)
Quill helps clients to achieve better ecommerce results. For instance, after working with one fashion retailer to create inspiring catwalk-style videos and optimised product descriptions, the client saw a 60% improvement in conversion rates. Additionally, they saw a 56% increase in product page views and an impressive 133% boost in sales.

As well as driving conversions and sales on-site, we also deliver content that helps to generate organic traffic. Page one results on Google receive 95% of all search traffic, so it’s vital for brands to have search-optimised category descriptions that improve their rankings for key products or categories. After we introduced search-optimised category descriptions for our client Shop Direct, they saw a 20% increase in organic website traffic, with average rankings for target search terms increasing by 29% across their ecommerce sites, including Very.co.uk. Furthermore, 55% of their pages secured a page 1 ranking.

MTS: How do you prepare for an AI-centric world as a business leader?
AI is set to be hugely transformational, but many companies aren’t sure what relevance it has to their business, and some even fear it could destroy jobs. As a technology-driven company we are already using machine intelligence as we continually strive to improve, streamline and optimise content production processes.

Businesses can use AI to speed up time-consuming but essential manual processes, ultimately improving efficiency in operations across the board. By identifying the areas where it would make the biggest impact, particularly in areas where they can use it to automate mundane tasks, companies can ensure their employees focus on the more interesting jobs that require human skills. Far from AI taking our jobs, I believe it will make people’s jobs more interesting.

The trick is to know what AI can successfully achieve and where it is limited. For example, there’s been a lot of hype around machine translation, however we recently conducted research which showed that, whilst machine translation can produce product description copy that humans can readily understand, it can’t yet generate the sentiments that are behind purchase intent or brand affinity – in this instance you need a ‘humans in the loop’ approach, whereby human editors are involved in the quality control of the machine-translated output.

This Is How I Work

MTS: One word that best describes how you work.
Challenger

MTS: What apps/software/tools can’t you live without?
My top business tools are probably Smartsheets and LinkedIn. I use Smartsheets to essentially manage the business, tracking progress against key objectives for the senior team and key projects. As for LinkedIn, it’s simply business critical. I meet so many people at events and meetings that it’s the only efficient way of staying in touch and tracking who’s who.

MTS: What’s your smartest work related shortcut or productivity hack?
We have a laser sharp focus on productivity at Quill – both in the content production solution we offer to clients, and in our internal processes. We look at every repetitive task we do, and in content production there are lots of them – from screening freelance applicants to ensuring that blacklisted words never creep into the content we produce – to see if the task can be semi or fully automated.

We see this as a Formula One approach to process optimisation, whereby we’re continually examining our internal processes and methods and making small improvements that incrementally add up, in much the same way as a Formula One team may adjust tyre pressure or the materials used to assemble a vehicle to get a competitive edge.

We’ve found that this approach results in staggering productivity gains, enabling us to produce content 75% faster and 40% cheaper than businesses can achieve in-house or via traditional agencies.

MTS: What are you currently reading? (What do you read, and how do you consume information?)
Futureproof: How To Get Your Business Ready For The Next Disruption

MTS: What’s the best advice you’ve ever received?
As an entrepreneur, it’s important to continually evaluate the opportunity cost of the time spent on your new venture or any aspect of it. For great entrepreneurs, time – not money or talent – is the commodity which is almost always in shortest supply.

MTS: Tag the one person in the industry whose answers to these questions you would love to Read:
Elon Musk

MTS: Thank you Ed! That was fun and hope to see you back on MarTech Series soon.

Also Read: Dreamforce TechBytes with Dennis Fois, President, NewVoiceMedia

[vc_tta_tabs][vc_tta_section title=”About Ed” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108e46dc-a0ac”]

Specialties: Digital start ups, Ecommerce, Mobile, Video, Social Media, Digital technology, Digital media & content, B2B, B2C, Web development, International expansion, Product development, Brand development, PR and marketing, Online marketing, Business development, Online monetisation, Board, Non-executive & advisory, Strategic turnarounds, Entrepreneur, Fundraising & investment, Divestments & mergers, P&L and budgets, Strategy, Operations management, Team leadership, Organisational change, Targets & KPIs

[/vc_tta_section][vc_tta_section title=”About Quill” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108e46dc-a0ac”]

quill
Quill is redefining how digital content is created. We specialise in Primary Content: the critical pre-purchase information that converts browsers into buyers (e.g. product and category descriptions, how-to videos and destination guides), driving revenue and profit by improving SEO, conversions, basket size and product return rates. We believe our model is the future of global content production. Through our pioneering Quill Cloud technology, a global Network of screened specialists and our in-house content expertise, we’re uniquely configured to produce consistently high-quality content at unparalleled speed and scale – whether written or visual, in any language, format or topic. With over 40 languages in our Network, we are releasing our clients from the cost and resourcing challenges of scaling multi-language content production, whilst delivering a positive ROI. To date we have created over 15 million words of bespoke content – plus videos and graphics – in over 29 languages, and counting. We work with global businesses including eBay, Farfetch, Google, House of Fraser, Boden, AXA, STA Travel, Regus and Mothercare. We are backed by a strong team of digital investors, and have been named one of Britain’s most exciting and disruptive businesses as part of the Deloitte Fast 50, Santander Breakthrough50, Smarta100 and Real Business Growing Business Awards

[/vc_tta_section][/vc_tta_tabs]
[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

The Modern Salesperson

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Sales
The Modern Salesperson

You Don't Need a CRMWhen asked to think of an individual making a living off the sales profession, many people still imagine a man in a suit hitting the streets, demoing products and charming customers. But this is no longer the case–the modern salesperson isn’t pounding the pavement or flipping through their Rolodexes for specific contacts. They are instead people with diverse backgrounds sitting in front of a computer screen, more responsive and able to make efficient lead conversions faster than ever before. From prospecting to closing deals, the introduction of technology has influenced many different aspects of the sales process.

With this shift to technology, what are some of the ways that sales has changed and what does it mean for businesses?

 Targeted Prospecting

With an average of eight cold call attempts to reach a prospect, marketing teams must build highly targeted prospecting lists for the salespeople in their company. Either through highly targeted database marketing, content management solutions or via tools that helps track who visits the brand’s website, such as Leadforensic, Leadfeeder, and Netfactor. These highly-qualified leads have left a digital trail of their interest, thus increasing the sales teams productivity and efficiency. At the end of the day, sales professionals are able spend more of their time doing what they are good at – closing deals.

It’s All About Efficiency

With the continued improvement of technology, salespeople are able to minimize time spent in the field, as moving from one meeting to another can be highly inefficient. The use of video conference tools, such as Google Hangouts, Zoom, Skype, and Blue Jeans, is ideal for raising the number of prospects sales teams can manage. With these conferencing programs, prospecting meetings and product demos can be done from the office with little to no time used moving between meetings.

That being said, if spending time in the field is unavoidable, salespeople can use mobile apps to let them research new leads and manage existing ones through preparing quotes, sending contracts, scheduling meetings, managing opportunities and handling other job responsibilities while they are spending time waiting for their current prospect.

With customer data, prospect notes, research, contact information and email addresses available anywhere, being on the move doesn’t have to hinder progress.  Software turns what used to be wasted travel time into productive working hours!

Consumer Mindshift

The internet has not only changed the way companies sell but also the way consumers purchase. They now have access to a great deal of information and undoubtedly research different solutions before deciding whether to buy. This means that consumers already have a good knowledge base when they come into contact with a sales representative, which in turn requires salespeople to be an expert on the industry while also deeply understanding how their product (and their competitors products) solve business problems.

In fact, today’s consumers are so averse to salespeople that the salesperson has to be knowledgeable enough to be considered a business strategist while tactful enough to apply the right amount of urgency. It’s a delicate balance that successful sales professionals need to navigate on a daily basis. If the solution doesn’t correspond to the prospect’s needs, selling will fail as the consumer will likely discover a better solution on their own.

Additionally, with 92% buyers reading reviews online before buying something, salespeople need to pay great attention to the consumer mindset. If consumers are unsatisfied there is a huge probability that they will share their displeasure online by write bad reviews compromising the next sale. Because of this, salespeople need to build trust on a longer scale rather than just closing a deal.

The days of the stereotypical boisterous sales shark pressuring uninformed people to buy are done. Technology has enabled sales teams to be more efficient and knowledgeable – a requirement with today’s consumers. As these technologies become more advanced, sales will continue to evolve and find additional ways to find and convert leads.

Dreamforce Techbytes with Joe Hyland, Chief Marketing Officer, ON24

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Joe Hyland
Dreamforce with Joe Hyland, Chief Marketing Officer - ON24

Joe Hyland
Chief Marketing Officer, ON24

Salesforce Dreamforce is one of the biggest software conferences in the world. In the run-up to this event, we unveil our special TechByte series featuring high-profile Dreamforce attendees and MarTech Champions. In this iteration, On24’s Joe Hyland tells what he expects from this event.

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MTS: What attracts you to Dreamforce 2017? Who are you following at the event?
Joe: Any CMO who says he isn’t thinking about making their sales counterpart happy should probably start sending out their resume. But, when you look at most marketing events and content, it’s completely lacking the sales perspective. That’s why I think Dreamforce is so valuable — it’s one of the few events that brings together marketing and sales for discussions on strategies and tactics. I’m most interested in following those conversations and figuring out how my CMO and CRO peers are partnering across their organizations. Since Salesforce has essentially dedicated their entire business to bringing sales and marketing together, I’m interested in hearing from their own CMO Simon Mulcahy and his strategy to tie engagement to revenue.

MTS: What are your expectations from the event and how do you intend to share your experiences with your colleagues and the community?
Joe: Well, any stage with Michelle Obama standing on it is going to impress. Not to mention the anticipation of seeing what sneakers Marc Benioff decides to wear! In all seriousness, there’s more meaning here than just putting on an entertaining show. I think a lot of what I’m after at Dreamforce is inspiration and getting outside the traditional B2B box. Salesforce thinks BIG and they deserve a ton of credit for making a SaaS user conference into a must-attend event.

And, Dreamforce also creates a week full of brilliant marketing from their ecosystem on full display. I love seeing all the experimentation and fresh thinking from others in our space, so one thing I find both fun and productive is to ask my team to share their best Dreamforce “marketing moments.” Then, we keep them on file as a catalogue for new marketing campaign ideas and as a source to highlight stand-out marketers across our social channels and blog. One example that’s top of mind is an event by the event marketing tech company, Splash, that’s at SoulCycle — they have me and other execs lined up to host a spin class for their customers and prospects. Totally different approach from the typical happy hour that will stick out in people’s minds.

MTS: With an event like Dreamforce, how does Salesforce enable business leaders to bridge the data gap?
Joe: Let’s be honest, far too often, customer data sits in organizational silos and sales is left clueless why marketing thought a prospect was ready to talk to them. The clearer the view that sales has of a prospect’s history, the better they can use those insights to jump start meaningful sales conversations and prioritize their hottest leads.

What Salesforce does at Dreamforce is hammer home the idea of a single view of the customer. It’s ambitious for sure, but the openness and developer-friendly perspective Salesforce has makes it seem possible to one day have all customer data in one place. For us at ON24, we’re focused on how we integrate more and more of our data directly into Salesforce to help get closer to that goal.

MTS: What marketing technologies are you keen to explore at this event?
Joe: Dreamforce is a perfect place to find new ways to make salespeople’s jobs easier and make them think of marketing as a hero. Technologies like Seismic, a data asset management (DAM) platform, give our sales team a single, searchable location to find content. A DAM may not be the most groundbreaking idea, but it will get used by our sales team every day. So, I’m looking at the technologies that help sales self-service the marketing support they need at the pace they need it.

Another technology that may get us closer to that goal is Splash. Their platform makes it possible for sales to pretty much take an event invite template and run with their own field marketing event. In the same line of thinking, Vidyard is another solution on our radar because it will enable our sales team to create their own videos in real-time.

I love the idea of being able to grow pipeline and accelerate deals by simply giving our people the best tools. Having that mindset means you’re investing in technology for your people’s sake, not just because it’s the latest trend, and ensures there’s an immediate return.

Recommended Read: Interview with Sharat Sharan, President, Co-Founder & CEO at ON24

MTS: Do you think event organizers are yet to better leverage webinar marketing tools to drive higher ROI?
Joe: Well, I can’t speak for the organizers, but without a doubt, there are certainly more marketers who have yet to tap the existing webinar and live streaming tools and solutions that are integrated with leading CRM and marketing automation platforms. That’s part of what ON24 brings to marketers – the ability to optimize demand generation, enhance lead qualification and accelerate opportunities in their sales pipelines.

MTS: What would be your message to the Dreamforce 2017 attendees?
Joe: We’re all looking for efficiencies, and that’s great. Who doesn’t want to engage hundreds and thousands of prospects with the click of a button? But let’s not lose sight that for all the advanced technologies any vendor launches, marketing is still in a human-to-human business. After all, we are engaging with people, not machines, and we need to make sure we don’t lose sight of the individual on the other side of our marketing.

MTS: Thanks for chatting with us, Joe.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

Also Read: ON24 Prospect Engagement Profile Unveiled to Break Marketing-Sales Silos and Increase Business Impact

Interview with Alberto Sutton, SVP, Marketing, Onvia

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Alberto Sutton
Interview with Alberto Sutton, SVP Marketing – Onvia

[mnky_team name=”Alberto Sutton” position=” SVP, Marketing, Onvia”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/lecha” profile_linkedin=”https://www.linkedin.com/in/albertosutton/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“In those days, programming AI meant predicting as many possible outputs and linking some response or action to each. Nowadays the paradigm has shifted to programming of neural networks, where the machine learns over time through the exposure to data, patterns and events.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us a little bit about your role at Onvia and how you got here?
I joined Onvia as Senior Vice President of Marketing in February 2016. I was attracted by the company’s unique position to resolve the friction in the vital yet complex business-to-government marketplace and, in turn, create mutual value for business, government, taxpayers, and society, at large. Onvia does this by equipping businesses of all sizes with sales intelligence and leads data to help them grow their sales in the public sector.

I’m in charge of accelerating brand awareness and demand pipeline for both new business and subscription renewals. I lead the team responsible for digital, social, and air cover communications, as well as vertical campaigns, content, market research, and customer engagement programs.

Prior to leading marketing at Onvia, I held marketing, product management and channel alliance roles in fast-growing technology companies in the areas of business intelligence, workflow automation, data infrastructure, systems integration, and collaboration platforms. My degrees are in industrial engineering (Politécnica, University of São Paolo) and marketing (Wharton MBA, UPenn).

MTS: What the main challenges in digital marketing, specific to the public sector?
I will answer from the points of view of both the vendors, selling goods and services to public sector, as well as the buyers in procurement teams of government agencies. These are the two sides of this vital business-to-government (B2G) ecosystem that Onvia serves.

On the vendor side, businesses of all sizes look for simplified ways to navigate the vast amount of data generated by the hundreds of thousands of agencies and data sources. Sales, marketing, and business development leaders are challenged to proactively reach target buyers, track projects awarded to competitors and distribute leads through their partner channels. Our flagship product, Onvia 8, helps them address these challenges and grow their pipelines by giving access to both current project leads in the form of published bids and RFPs, as well as the future leads identified in term contracts and spending plans. Onvia also provides profiles of agencies, including buyer and decision-maker contact information, to help companies create conquest and prospecting lists, helping marketers drive the equivalent of account based marketing (ABM) – which in the case of B2G could even be called ‘agency based marketing’.

On the buyer side, government procurement professionals are challenged to attract a greater number of well-suited bidders to their solicitations. They also want to increase procurement efficiency by improving their planning for the future, engaging the business community in pre-bid research, and finally just simply writing better bids and RFPs. They find answers to those challenges in our product for government, Onvia Exchange.

MTS: Could you give a brief overview of the Onvia 8 platform?
Onvia 8 is a sales intelligence platform that enables companies of all sizes to grow their business by selling more to the public sector. With Onvia 8, sales and marketing teams can discover more leads, pursue deals faster and plan strategically to get ahead of the bid.

For this major launch of Onvia 8, our team delivered innovations on these key fronts:

  • New interface and mobile interactivity: Creates a more engaging, elegant and productive user experience – anywhere, on any device.
  • Streamlined lead management features: Allows sales and marketing teams to work faster and more efficiently as they identify, qualify, track and share leads.
  • Introduction of viewer licenses: Helps expand the reach of lead distribution across organizations and channel partners.
  • Accessible future leads view: Scans expiring contracts and future spend in order to fill pipelines, influence bids and plan ahead.

Onvia 8 helps businesses wade through a fragmented, competitive and complex B2G contracting marketplace by equipping them with accessible data government bids and RFPs, agency and buyer profiles, award records, contact lists and competitive information. Sales and marketing teams can then track and share opportunities with their sales force, channel partners and distributors.

MTS: How does Onvia look to leverage marketing technology for its B2G clients?
Onvia 8 is in itself a sales intelligence and marketing technology. Our clients and users are professionals and leaders in sales, marketing and business development. They put Onvia 8 and our On Demand Reports – Contact Lists and Winning Proposals – to work in their companies in order to fulfill key marketing strategies and tactics:

  • Discover more and more relevant leads
  • Identify target agencies, their profiles and buyers contact information
  • Create prospecting and conquest lists, for current and future opportunities
  • Distribute and track leads to their sales field and channel partners
  • Track competition, their bids and awards
  • Make strategic decisions about geographic market expansion

MTS: How does Winning Proposals ease the burden of FOIA requests?
Let’s set the context for what FOIA requests are. The acronym stands for Freedom of Information Act (FOIA). Its relevance to B2G is that it allows companies to request that government agencies respond with details about contract awards, the winners and the decision criteria. That can be powerful information to refine pricing strategy and inform future bids. The problem is that companies will not always have time, resources or experience to trigger and follow up on such requests. They also hesitate to repeatedly contact agencies, assuming this could negatively impact their working relationship.

Onvia’s Winning Proposals solve these problems by removing the mystery around winning or losing public sector bids. Each time a new or existing Onvia client requests a Winning Proposals package on a given government solicitation, Onvia will identify agency contacts and policies, initiate requests under the agency’s defined procedures and follow up accordingly in order to obtain the proposal materials and related documents. Onvia’s years of expertise requesting such information from agencies, coupled with established agency relationships, ensures a high success rate and makes it easy for companies to execute on these often complex requests. Essentially, Onvia does the heavy lifting while vendors gain a competitive advantage.

MTS: What startups are you watching/keen on right now?
There are two main categories that I track: a) the sales intelligence and martech space (especially where AI is being introduced); b) software and services that help facilitate go-to-market execution in B2G.

The sales intelligence and martech space is hot and growing. Established players and startups are devising practical ways to apply AI and predictive analytics. There has been a huge proliferation of offers and players, but they are still focused on horizontal processes or functionality. Here at Onvia, our platform delivers on the fronts of sales intelligence, martech and innovations in data science – all helping companies in the wide variety of industries that sell to government.

The other front that I monitor actively is companies that focus on helping businesses execute their go-to-market in the public sector. In particular there are services, consultants and marketplaces providing help to companies after the point when they find leads in Onvia and move on to actually pursue government contracts. Our clients appreciate working with our partners with the capabilities of helping write and manage their proposals.

MTS: What tools does your marketing stack consist of in 2017?
Across our mix of marketing programs and go-to-market approaches, we prioritize and get the best ROMI on content marketing and email marketing. In turn, our MarTech stack is optimized for those programs.

Here’s our stack, including our own Onvia platform:

  • Sales Intelligence: Data from Onvia platform (yes, we use the same platform our clients use to leverage the millions of records and identify companies to market to and grow our own business)
  • CRM: SFDC
  • Marketing automation: Marketo, Ringlead, Tout
  • Email: Marketo, Clickback, Siftrock, ZoomInfo
  • Web, SEO: Drupal, SEM Rush, Google Analytics, Alexa, Google Optimize
  • Video: Wistia
  • Social: Hootsuite
  • PR: MuckRack
  • Collaboration: Trello, Basecamp, Slack

MTS: Could you tell us about a standout digital campaign? Who was your target audience and how did you measure success?
I will call out our content marketing engine that feeds our promotions via email, traditional and social media, SEO and digital advertising. Having the data that we have – bids and RFPs, future spending, awards results and agency contacts – puts us in an excellent position to create data-driven content to help our demand gen in every stage of the funnel. We have data analysts publishing periodic market research reports. They include industry hotspots, growth trends, our contractor confidence index and even surveys of government procurement professionals. We use those reports to engage our core audiences in sales, marketing and business development, in all levels of their organizations, from individual contributors to mid-management to senior executives.

Our database also helps us identify clients with accelerated growth and ROI, which we turn into conversion types of materials. When we crunched the numbers about government contract awards to businesses, we compared the results achieved by our own clients and by the overall market. The data revealed that Onvia clients average 69% higher sales to the government, the median cost per lead for our clients is just $49 (and can be even less than $20 per lead), and that our clients are accelerating their sales up to 8x faster than the rest of the market.

Another example of a stand-out campaign is actually now in progress. I’m excited about the ongoing campaigns promoting the recent Onvia 8 launch, including our 10-city roadshow called “Onvia On Tour“. We are hosting great sessions featuring our clients and their success connecting with government. The real highlight of the events has been the panels with government officials and procurement leaders. They advise businesses about better connecting with government by engaging early ahead of the bids. They also talk about the civic impact and motivation behind their projects and their goals to engage small and minority owned businesses.

With regards to how we measure the impact of all these great campaigns, we are accountable to our bookings numbers. Of course we also measure activity, campaign performance, digital engagement and top-of-funnel lead volume, but the ultimate goal is our commitment to bookings and the bottom line. Our internal marketing dashboards have demonstrated our success in terms of increased contribution to bookings, while managing our cost of acquisition.

MTS: How do you prepare for an AI-centric world as a marketing leader?
Curious story – I have an engineering and computing background and even coded an AI app in the ‘80s. In those days, programming AI meant predicting as many possible outputs and linking some response or action to each. It was not all that intelligence-like.

Nowadays the paradigm has shifted to programming of neural networks, where the machine learns over time through the exposure to data, patterns and events. But how to prepare for this and apply it to marketing?

I’ve been reading and attending seminars to hear about the most practical applications of AI, but my best source of insight has been from our own engineers at Onvia. We are ourselves applying machine learning to improve how we match how vendors search for leads to how governments describe their solicitations. It turns out to be an interesting and important natural language search problem to solve. Vendors want to see only the most relevant leads appear in their searches, so we help reduce noise, increase relevance and drive more matching of opportunities.

This Is How I Work

MTS: One word that best describes how you work.
“Curiosity.” That is the foundation to finding new solutions, innovating products, improving processes, applying analytics and improving a team’s overall performance. It’s much easier to achieve success when your teams are driven by curiosity. And if I’m allowed to pick another word, that would be “accountability.” Teams that can work inspired by curiosity and are driven by accountability end up succeeding by becoming teams that “get it and get it done.”

MTS: What apps/software/tools can’t you live without?
On the personal productivity front, I have a pretty good system using Outlook and OneNote. Excel still plays a key role in analytics. Then when it comes to collaborating across teams I rely on a variety of project management and BI tools. I used to prefer the homogeneous use of those types of apps but got used to so many of those – it ultimately depends on what makes the project owners and information analysts more productive and successful. I also use a variety of traffic and commuter apps to save time on the road.

MTS: What’s your smartest work related shortcut or productivity hack?
The hours I choose to be awake during the day, and how I use those hours. I used to be a night owl, but I’ve switched my “inner time zone.” I start my day early, tackling projects requiring quiet concentration. I rarely check emails during the day and dedicate the core of the day to meetings, as long as they have purpose, mainly to align key stakeholders, accelerate decisions and coach teams. Then I try to use the last few hours in the office to address emails, provide reviews and address approvals requiring my attention. It gives me the evening to dedicate quality time with family. Work life balance, done with intensity.

MTS: What are you currently reading? (What do you read, and how do you consume information?)
I’m now reading this book “El Método Monchi.”  Monchi is a sports director with a successful stint at Sevilla. The soccer club achieved success at the level of continental tournaments having to compete against clubs with much deeper pockets, like Real Madrid, Barcelona, Juventus, Chelsea and Manchester United. Monchi’s method was to predict, attract and manage talent before they called attention of the big brands. That was an engine for competitiveness and profitability, as he would later sell his players at much higher values to those bigger teams. Great lessons about leadership in the process of managing talent and when it’s time to refresh your team’s talents, either because they are aiming for a new career level they can’t achieve in their current team or simply because the team needs new skills for new circumstances.

MTS: What’s the best advice you’ve ever received?
Always ask for and act towards what you want. You increase your chances to get what you want. As a matter of fact those chances go from near zero (by not asking or acting) to something just dramatically higher than that. Do it. Don’t settle, don’t rely on just luck.

MTS: Something you do better than others – the secret of your success?
Can I answer “parallel parking”?  I’m really good at it, but I recognize that skill might become obsolete soon with the evolution of autonomous cars. Ok, with my hat of SVP of Marketing on, I will mention one thing that has consistently led to success is to praise my team members. Sharing credit, acting as their talent agent, shedding light on their accomplishments. That will not become obsolete. Most people will appreciate their managers doing that rather than themselves. It will contribute to their motivation, curiosity and accountability – there are those two words again!

MTS: Tag the one person (from the Martech space) whose answers to these questions you would love to read:
I would like to tag Michael King, from King Recruiting. Michael has been placing top CMOs and demand gen leaders in hot innovative companies in Greater Seattle and Bay Area. He can share his perspectives about desired marketers’ skills, how much of AI is already reality or still buzz, and the most popular martech vendors in the radar of his client companies and placed leaders.

MTS: Thank you Alberto! That was fun and hope to see you back on MarTech Series soon.

Also Read:  Interview with Jim Kaskade, CEO, Janrain

[vc_tta_tabs][vc_tta_section title=”About Alberto” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108efb2f-fb25″]

Instrumental and versatile executive with 20 years of multidisciplinary background in business technology & services – engineering degree, MBA, management consulting, system integration, sales operations, marketing, product management, channel strategy Tenacity to inject: results urgency, customer centricity, business- relevant messages, cross-functional work, and teams that “get it and get it done”. Influnetial to grow company by 7-10X (valuation, bookings, headcount). Know-how to introduce mobile-enabled, cloud-based software and driving SaaS subscriptions

[/vc_tta_section][vc_tta_section title=”About Onvia ” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108efb2f-fb25″]

Onvia Logo
Onvia is the leader in B2G sales intelligence and acceleration. We provide enterprise, mid-market and small business customers with the most comprehensive set of federal, state and local government contracting leads. Clients grow their sales pipeline with access to bids, RFPs and future spending data, along with agency contacts, competitor information and market analytics – all backed by our smart search technology, CRM integration and expert support. Resolving the friction in this $2 trillion market, Onvia creates mutual value for public and private sectors, taxpayers and society at large.

[/vc_tta_section][/vc_tta_tabs]
[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

Finding the Perfect Balance Between Personalization and Automation with Event Marketing

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Event Marketing
Finding the Perfect Balance Between Personalization and Automation with Event Marketing

In-person events are the perfect opportunity to maximize your brand’s engagement with key audiences. The opportunity is so great that marketers are willing to spend up to $26.1 billion a year on in-person events. But, despite the massive amounts of time and effort invested, many organizations struggle to keep pace with the challenges that events can present to their marketing organizations, such as collecting and drawing conclusions from massive amounts of data or difficulty in quantifying ROI.

The considerable investment in events often puts marketers on the hook to quickly show event-driven results, such as contribution to pipeline, deal acceleration and revenue creation. Without consideration for defining success metrics early and taking the right steps to collect and measure engagement, it can be challenging to show tangibly how much of an impact events can have across the business. Even with these struggles, marketers continue to increase their investment in events because they are the single best place to have high impact engagement with customers and prospects, and do in fact play a significant role in driving revenue growth.

Perfecting this balance requires extracting the right data, driving personalized marketing from data-driven insights and ultimately building the framework to demonstrate returns. Here’s some guidance on how to get on the path of making the most of events:

Use data to make real-time decisions

As you capture deeper and richer insights about your customers and prospects and how they engage with you pre-, during and post- event, it’s critical to use that information for real-time decision making to drive better results. For example, imagine a VIP who has registered to participate in sessions that are associated with an upsell and cross-sell track. Based on his or her interests, you can then trigger an email that recommends other similar sessions that advance the buying journey—a way to double up on the opportunities to connect at the right time and right place to capture more sales.

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Personalization always pays off

Capturing more than just contact and registration information from your event attendees is an easy way to start to build a profile of engagement and buying intent. Dig deeper than the surface; capture session attendance and product specific booth demos. Ask questions and polls from every engagement to find patterns. By knowing how they’ve engaged throughout the entire event experience, you are able to offer a more personalized approach to your marketing strategy.

Work smarter, not harder

While most events can feel like a heavy lift for multiple teams – from sales to product and of course, marketing – don’t be afraid to look for opportunities to automate processes that go into building a successful event. Event automation platforms offer easy and simplified templates, and help you replicate pre-existing campaigns with little configuration. If you know you’re heading out on the road for a multi-city event, don’t make extra work for yourself by starting from scratch. Once you’ve realized these efficiency gains, you’ll be able to re-allocate your resources to higher value activities.

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It’s not over ‘til it’s over

Every event you plan should focus on the bigger picture and tying the efforts and results back to larger business objectives and goals. Collecting registration details alone won’t get you there. Marketers also need to measure engagement and conversion pre-, during and post-event. Paying attention to how you engage with attendees during the event and after the event is particularly important and where campaigns often lose steam. ROI is king and queen and there are significant nurture opportunities both during and after events. By closely monitoring conversions and pipeline advancement across each event function, you’ll not only see a better return on investment but also set yourself up for future success.

Make technology a core part of your marketing team

An event strategy – even a great one – is not enough without a team and technology that can amplify it. The only way to launch B2B event campaigns at scale, collect and manage data for attendee personalization in real-time, and prove ROI, is by utilizing technology that will make your job easier. Automation in particular has helped marketers move away from outdated and highly manual processes to create scalable, global events like never before.

The days of “event season” are over so there’s no better time that the present to reassess your event strategy. Be self-critical about ways that you can improve how you engage with your customers and prospects, and ultimately how you can drive better ROI for your business. Marketers are being held accountable to drive business growth like never before – capitalize on the opportunity by being strategic in your approach.

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Are Creative Marketplaces and Dynamic Creative Optimization the Future of Online Advertising?

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Creative Optimization

Are Creative Marketplaces and Dynamic Creative Optimization the Future of Online Advertising?

Machine learning and creative marketplaces are impacting the online advertising industry in noticeable ways. Facebook and Google are drastically changing the face of online advertising with machine learning algorithms that simplify the process of acquiring high-value users. They simplify user acquisition management by automatically optimizing placement, audience targeting, bids and budgets. Facebook’s Dynamic Creative allows advertisers to further automate creative testing workflow and performance by dynamically selecting combinations of ad creatives to show to the right audience at the right time.

Today, campaigns can be run with greater pace and scale than ever before, and require a much larger volume of high-performing creatives rotating in the market. As a result, advertisers are no longer struggling to optimize ads, but are now having difficulty keeping up with the pace and scale of their campaigns.

Dynamic creative is saving advertisers time and money in the creative testing process through automation, but scaling the creative production of ads to take full advantage of automation is where advertisers need help, and today, they’re getting it from creative marketplaces.

While outsourcing labor has been a common practice for centuries, leveraging the power of online marketplaces emerged at the turn of the 21st century with the rise of sourcing people and organizations to drive ideas and deliverables.

Today, in online marketplaces, typically advertisers submit a creative brief and receive creatives from editors and designers, which the advertiser then chooses to request changes or push the ad live.

Early successes in sourcing creatives include companies like Doritos, Starbucks, and Airbnb. The trend quickly moved to online advertising with a company named Trada launching a creative marketplace for Facebook advertising as early as 2011. Advertisers are now leveraging creatives from providers such as ConsumerAcquisition.com, Vidmob, Boost Media and Refuel4.

Why is a creative marketplace a necessary strategy for advertisers today?

Innovations in adtech have significantly simplified user acquisition management, and as as optimization improves, creative becomes the differentiator for performance. If advertisers are failing to meet their financial goals, it’s not because of poor campaign management, but because of poor creative.

Typically for direct response advertisers, less than 5% of creatives will outperform current high-performing ads in a portfolio, which means heavy creative testing is necessary to find winning ads that can allow advertisers to sustain profitability and scale.

Creatives cannot be algorithmically generated with AI or machine learning yet, so advertisers are turning to online marketplaces.  These marketplaces provide the volume needed to maintain profitability and the quality that in-house design teams just don’t have the time to produce rapidly at high volume because they are often trapped producing derivative ads based on existing concepts.

Here’s how sourcing creative from online marketplaces can transform your online advertising and business growth:

Produce Creatives at Scale

About 95% of direct response creatives fail at meeting financial objectives, including cost-per-sale or return on ad spend (ROAS). Such is the challenge in a dynamic and competitive market for consumer attention and clicks that advertisers need an unprecedented volume of creative assets to test and optimize. Even when a winning creative is performing well, it will begin declining in performance as soon as audience’s ad fatigue sets in, so it’s imperative that new creative is continually being implemented into campaigns. Online marketplaces provide high-volume of designers and editors needed to develop winning creatives. Additionally, a creative marketplace offers a flux of fresh creative ideas and concepts by different designers and artists with varying styles. It’s imperative to constantly be testing new concepts to maintain performance and mitigate the short lifespan of ads due to ad fatigue.

Gain Access to Facebook and Instagram Advertising Expertise

Advertisers that leverage in-house designers to develop ad creative frequently find their teams get tunnel vision when working on a project too long or Facebook ads are outside the scope of their day-to-day design work. The result is that internal teams often produce low-performing ads and get stuck in a creative rut. Online marketplaces solve for both quantity (the power of many trained editors and designers versus in-house teams) and quality from accessing advertising experts focused only on advertising design. Designing effective creative that drive installs, signups and purchases is a specialized field given the complexities of the various formats, audiences and performance metrics. When picking your creative marketplace, look for expertise in the ad platforms where you plan to run your online ad campaigns.

Also Read: Social Media Analytics and Advocacy Are Key to B2B Sales Intelligence and ABM

Leverage an Alternative, Flexible Pay-Model

Online marketplaces offer different pay-models than your traditional hourly per project-based model. Often times, creative deliverables are performance-based, which allows the marketplace to share in the risk of campaign results rather than the advertiser paying in-house or individual graphic designers and video editors by the hour, per project or per unit of creative. Since most direct response creative fails to achieve and sustain financial metrics and high-volume creative are needed to sustain scale, a performance-based pay-model can reduce the costs of underperforming campaigns for advertisers.

How You Can Get Started

The creative development process begins with submitting a creative brief to an online marketplace of designers and artists. From here, you’ll have the opportunity to review creatives, select content and launch ads into the wild to test performance. As creative marketplaces have become more advanced with AI and machine learning built-in, the ability for automatic detect and swap out of underperforming ads is now available to advertisers, making the process practically seamless to iterate and optimize. With AI-powered adtech like dynamic creative that allows automation of testing workflows now coupled with the ability to produce high-volume, high quality creative at scale through creative marketplaces, advertisers have the critical tools to compete and achieve a profitable return on ad spend. 

Also read: Flying Blind: The Struggle for People-Based Digital Identity Resolution

TechBytes with Enriko Aryanto, Co-Founder, QuanticMind

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Enriko Aryanto

Enriko Aryanto
Co-Founder,  QuanticMind

Last month, QuanticMind secured $20 million in Series B that was followed by the data platform for intelligent marketing announcing an AI-powered solution for Google shopping. To understand how the new machine learning-based solution integrates with the existing predictive advertising platform, we spoke to QuanticMind Chief Technology Officer, Enriko Aryanto.

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MTS: What are the key components of QuanticMind’s predictive advertising platform?
Enriko Aryanto:
QuanticMind’s key components include: data science-based bidding algorithms, machine learning-powered automation that uses natural language processing (NLP) and semantic distance modeling and unlimited scale for both processing and storage.

My co-founders and I built QuanticMind because we saw major gaps in the world of digital marketing. Digital marketing is complicated, and it’s common for even the most talented and experienced marketers to overspend or underspend on their budgets.

Here’s what I mean: During our experience working at NexTag, we found there are ideal bid levels for every individual ad listing. Take paid search, for example. Enterprise-scale paid search managers have portfolios of millions of keywords they use in their search ads. And every keyword has an ideal bid level that will deliver the maximum number of conversions or maximum overall revenue.

Example: An apparel retailer runs search ads with the keyword “winter coats,” which has, let’s say, an ideal bid level of $3.50. This means, at a bid of exactly $3.50, the retailer will get the maximum clicks, conversions, and revenue. Spending more than the ideal bid, wastes money – it won’t get any additional conversions or revenue beyond that maximum level. Spending less than the ideal level potentially gets a lower ad position, less traffic, and ultimately fewer clicks, conversions, and revenue. This means lost opportunities to sell more winter coats.

So, as a digital marketer, you definitely want to find and bid at that ideal bid level. But my team found that hitting ideal bids for a keyword is difficult (or impossible) through manual management. Is this a deficiency on the part of marketers? No…marketers are smarter and more talented than ever. What’s the real reason finding a keyword’s ideal bid level is so hard? Data.

Data is the biggest challenge, and the biggest opportunity, in digital marketing today. Every individual advertising click contains thousands of important data points from key modifiers like location, device and time of day. Once you have a clear picture built on historical data – which customers click on your ads, where, at what time, using what device – you can locate and consistently bid at ideal levels, which leads to much stronger performance.

Here’s the problem: Getting those insights from your marketing data isn’t easy. Even a single click contains a huge amount of data. Quick example: There are 210 designated market areas (DMAs) in the US, 7 days in a week, 24 hours in a day, and 3 major devices for digital (desktop computer, mobile phone, tablet). Multiplying just these numbers together gets you 105,840 data points. Now, multiply this by every single keyword in your portfolio (again, potentially millions). You can see how this just becomes too much data for anyone to handle.

This is why we built QuanticMind on a core of data science to extrapolate the insights from all this marketing data. Our data science-based algorithms extrapolate the ideal bid levels for every individual keyword, and our machine learning-powered automation manages and adjusts bid levels over time while also mitigating data scarcity. As we built our technology to have no scale limits, our customers can import years of previous data and pull up crucial reporting in seconds.

MTS: How does QuanticMind help optimize long-tail bidding?
Enriko: We optimize bidding for the long-tail with machine learning-powered technology that automatically assigns bid-optimized ad groups using NLP and semantic distance modeling. By creating ideal bid models based on semantically similar keyword groups, we help our customers quickly ramp profitable long-tail bidding without having to rely on expensive trial-and-error.

Before we founded QuanticMind, my colleagues and I observed that bidding for long-tail keywords was an expensive process that involved “buying the data,” as paid search marketers call it. Long-tail keywords, for those who are not familiar, are extremely long keywords that are relevant to a specific use case, and often signal strong buying intent. However, most search queries tend to be much shorter and more generic, long-tail keywords usually have relatively little historical click data.

What does that mean for digital marketing? For “head terms” that have large amounts of historical data, bidding successfully is arguably a little easier. If you have large amounts of data on a keyword, and some way to extract the important insights from that data to inform your bidding strategy, you’re in a better position to find the ideal bid level for that term.

However, long-tail keywords, because of their specificity, just don’t have that kind of historical data. A long-tail query like “Nike shoes air max 2017 size 12 mens running on sale 94065” is something that relatively few people have ever searched for, which means it doesn’t have much historical data. So as an advertiser, without data, you’re left with guesswork to determine your bids. Then again, if a shopper does search for such a specific query, it’s likely they’re ready to buy. This is why getting long-tail to work is so important. It helps you capture those high-intent, high-converting clicks.

Unfortunately, because long-tail keywords are so data-scarce, many advertisers underutilize them or don’t use them at all. Because our technology’s NLP core is able to quickly determine ideal bids even for data-scarce long-tail keywords, we help our customers skip the expensive guesswork of “buying the data” and go straight to running profitable campaigns using long-tail keywords.

MTS: How do you integrate machine-level intelligence with analytics and campaign automation?
Enriko:  
As mentioned, our technology uses machine learning with NLP and semantic distance modeling to accurately forecast ideal bids for data-scarce keywords, such as long-tail.

It also uses machine learning to automate bid management for our customers’ campaigns over time. While I’ve talked a great deal about the ideal bid level for individual keywords, there’s one other piece to that: Ideal bids don’t stay static. Previously, we talked about a hypothetical retailer selling winter coats. Obviously, when the weather gets colder, bidding on keywords for winter apparel gets more competitive. And when the clock ticks closer to noon each day, bidding on keywords for lunch restaurants gets more competitive.

Our machine learning technology is able to dynamically use the insights from all the relevant data we collect and adjust bids over time to their ideal levels. This is how we drive consistently stronger performance every time.

Also Read: Interview with Chaitanya Chandrasekar, Co-Founder and CEO at QuanticMind

MTS: How do social insights drive contemporary marketing performance metrics? What are the granular factors that impact the accuracy of such insights?
Enriko: 
Social is an increasingly important factor in digital marketing in general and performance marketing in specific. At a glance, social is a different world where engagement metrics are more-highly prioritized.

However, for performance marketers, it’s an important channel that generates its own set of data points, and as part of the changing customer buying journey, social is playing an increasingly large role. Shoppers don’t simply walk into a store and buy things anymore. They research them extensively and tune out any annoying advertising messaging that isn’t relevant to them in that exact moment – this is why global ad blocker use is on the rise, up 30% in the past year.

More and more shoppers are taking control of their own buying journey, leveraging channels like social to get word-of-mouth recommendations and browse reviews. This is why we consider it to be such an important channel.

However, the biggest factor that affects the accuracy of social insights is going to be the integrity of your data. As mentioned, digital marketers are drowning in data, but none of it is connected. To fully leverage data – including social data – to its full potential, you need to capture all relevant data from all relevant channels and connect it all together. This is how you can pull the insights you need.

MTS: What’s the next frontier for QuanticMind in bidding management and campaign management?
Enriko: Our team envisions a world of fully connected data. Digital marketers, as we mentioned, are already drowning in data, but they’re also struggling with another challenge – their data isn’t connected. They’re getting first-party data from search publishers (Google, Bing, Yahoo), but also session analytics, call analytics, inventory analytics, and third-party data. And none of these sources talks to any of the others. We already integrate all data from all relevant sources for search marketers. The next great frontier seems it’s not just about like integrating data specific to search, but also integrating data from related channels such as social, e-commerce, offline and others.

MTS: Would you tell us about your product roadmap for 2022? How would performance marketers use QuanticMind’s platform to leverage search engine marketing to drive ROI?
Enriko: We’re all extremely excited about the new products we have in development and ready for launch. You may have seen that we recently closed a $20M Series B round of funding, which we’re investing to enhance our flagship search product and launch new products. We have already been updating our social features and will be launching products for other important channels shortly.

Bigger picture, as mentioned, we envision a world of interconnected data where marketers never again miss out on opportunities or waste their budgets because their strategies are based on guesswork rather than the actual data-driven insights that help them bid at ideal levels and drive stronger performance.

MTS: Thanks for chatting with us, Enriko.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

The Real-World Abandoned Shopping Cart 

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Abandoned shopping cart
Unacast Inc.According to Business Insider, $4.6 trillion worth of merchandise was abandoned in carts in 2016 alone. This has led to an uptick in the number of retailers who send shopping cart abandonment messages, as well as a renewed concentration on using those items left unpurchased to retarget customers, creating another consumer touchpoint. But, while it’s all well and good to use digital data to capture revenue that might have been otherwise lost, what about all of those real-life shopping carts that have been left to languish in brick-and-mortar stores? How can companies solve the problem of the real-life abandoned shopping cart?

Ad campaigns are usually measured according to their successes: how many people went to a store and bought something as a result of seeing the ad, how much money they spent. But retailers should also start looking at other metrics; namely, how many people went into a store and didn’t buy anything. By using location and proximity data in conjunction with data from transactions, brands will have the ability to see if a person went to a store and bought something — or didn’t buy anything — and then use that information to build a profile and retarget them accordingly.

Although not exactly intuitive, people who entered a store but didn’t make a purchase are easier conversions than other targets. They’ve already expressed interest in a brand, and now it’s up to that brand to decide how they want to re-approach the customer. Historically, activities in a brick-and-mortar space have been close to impossible to track; now, with the growth in the amount of location data and proximity data gathered from sensors, retailers can see where and when a customer goes into a store, how long they spend there — and, in the near future, if they pick anything up and for how long. Given that stores can now see how customers interact in relation to products in the store and match that information against POS data, they can see which products are of interest to each individual and which were abandoned and then target accordingly.

This means that any shopping carts that have been abandoned in real-life present valuable data to any retailer — because they not only tell you what consumers are interested in, but also what they aren’t interested in. While the abandoned real-life shopping cart won’t necessarily tell you the exact products customers are leaving behind, it does show that customers have been in the store (albeit leaving before making a purchase).

Nevertheless, brands that use location and proximity tech have a definite advantage over their competitors because they know more about their consumers. It’s one thing to have a detailed consumer profile based on their online habits, but quite another to have a fully nuanced view of a customer that takes into account what he or she does when not on a computer. By melding these two consumer profiles — the online and the offline — brands will be able to better serve their customers by providing them with ads for products they know they want, and by personalizing the in-store shopping experience.

Brands do have to be careful, however, not to attribute sales increases solely to one single campaign: there are numerous reasons this might happen, from seasonality to having new models in stock to short-term fads.

Brands have also struggled with personalizing ads using location data, citing inaccurate data and lack of awareness of third-party data providers as reasons for their difficulties. This has pushed the bar higher for industry standards, creating a demand for data partners that provide transparency and accuracy.

It is important that the location and proximity industry work to meet these standards because at this point, any marketer running a campaign with the goal of increasing traffic to brick-and-mortar stores that doesn’t have an attribution or location-based strategy is losing out on getting in front of a potentially lucrative audience.

Marketers today expend a lot of effort as they try to get people back to their online shopping carts, but very few are thinking about the huge numbers of real-life shopping carts that sit abandoned in stores. This made sense when technological and logistical issues made tracking people’s movements nearly impossible, but with the advent of proximity technologies and the widespread popularity and resultant data-gathering of apps such as Snapchat and Facebook, brands are more capable than ever of tracking people’s movements in the physical world and using that information to create targeted campaigns (this is true even for smaller companies).

As more people are shopping online, every in-store experience becomes more precious. It’s not enough to look only at the people who made a purchase; marketers need to use the tools at their disposal to reach every consumer, including those who haven’t made purchases yet but might in the future.

Interview with Gregg Johnson, CEO, Invoca

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Gregg Johnson, Invoca

[mnky_team name=”Gregg Johnson” position=” CEO, Invoca”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/gregg_johnson” profile_linkedin=”https://www.linkedin.com/in/johnsongregg/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Once marketers include offline data in their attribution they can get the full picture of how search is performing to better optimize their search marketing.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us about your role and how you got here. What inspired you to be part of a MarTech company?
In 2016, I joined Invoca as CEO. After working in product management for over nine years at Salesforce, a company that disrupted the enterprise software industry, I wanted the opportunity to join a smaller company and try to have a similar transformational impact. At Invoca, we are not only leading a new category in MarTech, we are transforming how marketers think about their jobs and helping brands radically improve customer experience.

MTS: Given the changing dynamic of engagement with online customers, how do you see call intelligence technology integrating with marketing automation platforms by 2020?
With the massive rise of mobile, which is driving 85 billion calls to businesses globally and influencing more than $1 Trillion in U.S. consumer spending, it’s becoming even more important for marketers to integrate call intelligence with their marketing automation solutions.

As consumers increasingly combine their digital interactions with voice interactions, live conversation has become the new competitive battleground for customer experience. Call intelligence allows marketers to connect digital consumer interactions (clicking on paid search ads, browsing websites, etc.) to the voice experience (talking to a human), to have a holistic profile of the customer.

The Invoca Voice Marketing Cloud integrates with Marketo, Salesforce Marketing Cloud, Adobe Marketing Cloud and Hubspot to help marketers bridge the gap between digital and voice interactions and create a personalized customer experience across all channels and device types. Marketers can use insights from voice conversations to automatically trigger the next best online engagement, like retargeting a consumer with ads for a product mentioned but not purchased during the conversation, or automatically suppressing ads because the customer purchased over the phone.

MTS: Tell us about Invoca’s native reporting capabilities that measure audience attention and conversion analytics to deliver better omnichannel experience?
Invoca provides insights into which campaigns are driving the types of calls marketers want, including call volume, call duration, top campaigns, signals met, and call conversion rates. Within the Invoca Voice Marketing Cloud real-time dashboard, marketers can also automatically capture custom, actionable insights from hundreds of data points on each phone call, such as whether someone is an active shopper, a hot prospect, or mentioned a specific product but did not purchase. Marketers can use these insights to optimize their marketing performance, personalize the caller experience, automate the omnichannel journey, and expand their audiences with both digital and voice interactions.

MTS: How should marketers leverage call intelligence for personalized campaigns?
Voice conversations provide rich insights for marketers as they seek to understand, meet, and even predict the subtlest of consumer needs and intents. Data gathered and leveraged from conversations can help marketers improve the customer experience, such as delivering a personalized email or display ad in real time, based on buyer intent or preference conveyed during a phone call.

For example, marketers using Adobe Target can extend the personalized web experience they serve to their customers to a phone conversation using Invoca. For instance, a customer is greeted with a product specific landing page based on past engagements. When that customer calls, Invoca Signal can identify the website experience being served and route the caller to the representative best equipped to discuss/sell that particular product. Marketers can also use voice insights such as what was said during the call to trigger the next best engagement to create a consistent and personalized experience across channels.

MTS: What’s the biggest challenge that CMOs need to tackle to make their attribution models work with any search marketing platform?
One of the biggest challenges in attribution is in understanding the impact of online channels’,  – especially search – ability to drive offline revenue. Most analytics platforms and their attribution models are only providing a partial solution by looking at the digital conversions and revenue, not including the online impact to offline sales/leads/in-store visits. Once marketers include offline data in their attribution they can get the full picture of how search is performing to better optimize their search marketing.

Looking forward, voice search is the future and will be a challenge for search marketing attribution. With the rise of artificial intelligence, voice is rapidly becoming the new interface for computing. As speech recognition technology is improving and people seek easier ways to get the information they need, voice search usage will continue to grow.

MTS: What startups are you watching/keen on right now?
I’m currently watching Vicarious. The scope and nature of the artificial intelligence they are trying to build is quite astounding.

MTS: What tools does your marketing stack consist of in 2017?
We use our own technology, the Invoca Voice Marketing Cloud. Our core stack for attribution, analytics and execution also includes Salesforce, Marketo, Brightfunnel, Vidyard, LeanData, InsideView, LookbookHQ, PFL and Sigstr. We use Terminus and AdRoll for our digital advertising.

MTS: Would you tell us about a standout digital campaign? (Who was your target audience and how did you measure success)
Our standout campaigns are usually not just limited to digital. We see the most success when we combine both the online and offline experience for prospects, and focus on providing educational value and a truly personalized experience. A recent example would be an end to end prospect experience in conjunction with a major tradeshow. With sales support we handpicked a list of enterprise accounts that we knew would be attending. The goal, and measure of success, was to have meaningful in person meetings with senior level marketers at this event, and create pipeline. Prior to the event we combined account-targeted display advertising, direct mail pieces, email and an interactive series of web content. The goal of these campaigns was to educate the prospect on the challenge we solve for, and offer an in-person consultation with a subject matter expert. The meetings themselves included a customized demo, relationship building thank you gift, and more personalized digital content as follow-up. It drove meaningful engagements with a high number of our target accounts, and surpassed our pipeline goals.

MTS: How do you prepare for an AI-centric world as a business leader?
The goal of personalizing experiences and communication with customers has been around for a long time. Now, marketers can use artificial intelligence to gain insights from large volumes of data, such as unstructured voice data, to better serve their customers. Marketers can create products and services that learn from the behavior of their users and then tailor their experiences. Marketers need to think about how they can leverage AI to differentiate themselves by customizing all of their advertising, products, and services for their individual customers.

This is How I Work

MTS: One word that best describes how you work.
Collaborative. I believe that great leaders empower teams with deep context on the business goals they are trying to achieve. An executive that I respected tremendously in my time at Salesforce, Hilarie Koplow-McAdams, called this approach “go slow to go fast.” It’s the concept of investing time to explain the goal you are trying to accomplish in great detail, with as much context as you can provide, upfront. I’ve seen it be very successful in unleashing a massive amount of creativity and energy from employees on how to accomplish audacious goals with ideas and approaches that our leadership team would never have conceived.

MTS: What apps/software/tools can’t you live without?
Most used apps on my phone – Gmail, Slack, Spotify, Salesforce, Wunderlist and LinkedIn. I monitor what’s going on in our business constantly using Slack and Salesforce.

Until the past year, I wasn’t particularly organized on a day-to-day basis. But I found as a CEO, I need to be really deliberate about how I use my time. So I am now addicted to Wunderlist as a means of focusing my day and keeping track of what needs to get done.

MTS: What’s your smartest work related shortcut or productivity hack?
I have tried to put more emphasis on setting clear goals for myself on a monthly or quarterly basis, and then working backwards from those to set my day-to-day and week to week priorities. It’s hard for me as a CEO to accomplish things that can strategically benefit the company within a day, or even a week. But it is critical that I help our company move the needle strategically quarter to quarter. So I like to think of my time in quarterly chunks, set explicit goals of I want to achieve, and then use those as guideposts to organize my daily and weekly activities.

MTS: What are you currently reading? (What do you read, and how do you consume information?)
In terms of current affairs and technology news, I read content online and listen to podcasts during my commute. For mainstream news, I read a combination of the Wall Street Journal, the New York Times, and the Washington Post to get a variety of perspectives. I get my technology updates primarily through Twitter and LinkedIn, rather than reading any dedicated publication day to day. I am a big fan of SaaStr podcasts, and lately have really enjoyed Reid Hoffman’s new “Masters of Scale” of series.

On the weekends, I prefer to unplug and read books unrelated to business. I was really affected by Paul Kalanithi’s “When Breath Becomes Air”; and when it comes to fiction, I love Carlos Ruiz Zafon’s series about a bookseller in Barcelona – Shadow of the Wind, The Angel’s Game, The Prisoner of Heaven and The Rose of Fire.

MTS: What’s the best advice you’ve ever received?
The best advice I’ve received wasn’t explicit per se, but was simply observing the example set by my father. He was an entrepreneur and built a business in mechanical engineering – but more importantly, treated his employees, his customers, and his partners with fairness, respect, and empathy. That engendered a tremendous amount of loyalty that far outlasted his time at the company. And he has been very involved in his local community, investing time and money to help those less fortunate than he and his family. He set a great example of business leadership and community service at that local level.

MTS: Something you do better than others – the secret of your success?
Being able to understand different perspectives, synthesize those opinions and supporting data into a cohesive point of view, and then communicate that to a larger audience in a clear and motivational way. A lot of those skills stem from the time I spent in management consulting, a profession that trains you to process data and understand complex issues so thoroughly that you can break down and simplify them. I like to joke that I can see “five sides of a square” — which at times can be a fault as well as an asset. So I’m mindful of how much data our teams and I need in order to make decisions in a time-effective manner.

MTS: Tag the one person in the industry whose answers to these questions you would love to read:
Jeff Weiner from LinkedIn. I’ve never met Jeff, but I respect the way he conducts himself and communicates, and have heard tremendous things about his leadership style from friends and colleagues at LinkedIn. I appreciate his low-key style and collaborative approach to management.

MTS: Thank you Gregg! That was fun and hope to see you back on MarTech Series soon.

[vc_tta_tabs][vc_tta_section title=”About Gregg” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108e7c47-e74d”]

Seasoned SaaS executive with a passion for building and bringing to market products in emerging categories. Experience in product design / development, scaling product and engineering teams, go to market strategy, and pricing / packaging. I like rolling up my sleeves and doing what it takes to make customers happy and businesses succeed.

[/vc_tta_section][vc_tta_section title=”About Invoca” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108e7c47-e74d”]

invoca
Invoca helps the modern marketer optimize for the most important step in the customer journey: the phone call. With Invoca’s Voice Marketing Cloud, marketers can get granular campaign attribution to understand why customers are calling, gain real-time intelligence about who’s calling and analyze what’s being said in conversations. Marketers can put this data to work directly in the Voice Marketing Cloud by automating the ideal customer experience before, during and after each call. With an ecosystem of over 30 technology partners, marketers can inject call intelligence into their existing technology stack, giving them the ability to orchestrate a true omnichannel customer journey. Invoca is backed by Morgan Stanley Alternative Investment Partners, Accel Partners, Upfront Ventures, Rincon Venture Partners, Salesforce Ventures, and Stepstone. For more information, please visit www.invoca.com.

[/vc_tta_section][/vc_tta_tabs]
[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

[mnky_team name=”Oliver Roup” position=” Founder and CEO at VigLink”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/oroup” profile_linkedin=”https://www.linkedin.com/in/oroup/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Secret to success is to never stop understanding your own business. When things go wrong, you know how to fix it. My original plan was to have a lifestyle business, with a few clients I could manage on the side.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us a little bit about your role at VigLink and how you got here. (what inspired you to start an affiliate marketing company)
Oliver:
I was looking for a business to start and became interested in affiliate marketing, but after logging in to an affiliate marketing platform, the process as it existed seemed remarkably complex. I reasoned that, even with two CS degrees, if I still had a hard time figuring it out, the average blogger and content publisher would struggle as well.  In 2008, I wrote a crawler that looked for links to Amazon to see how many websites and content publishers were effectively using affiliate links, and I found that less than half of the commercial links were affiliated. At that moment, I knew there was a real opportunity to help both publishers and merchants gain the ability to effectively and profitably execute affiliate marketing strategies. In 2009, I founded VigLink, and have been running the company ever since.

MTS: Given how quickly automated affiliate marketing strategies have been accepted, how do you see this market evolving over the next few years?
Oliver:
Over the next few years, the techniques used in programmatic display advertising will be applied to affiliate in a big way. From both display and search, most advertisers are familiar with a demand curve, where if you pay more, you’ll drive more traffic to your intended destination. Affiliate has this characteristic only weakly. Whereas in search you can change your bids and see the effects immediately, changes in affiliate pricing usually take months and a trip to Affiliate Summit before seeing a change in traffic flow (particularly from content). This delay, comparative to other marketing and advertising technologies, is changing.

MTS: What do you see as the single most important technology trend or development that’s going to impact us?
Oliver:
Content-driven commerce is flying the same curve that display advertising flew over the last few decades. Hard-coded creative yielded to ad servers and on to the auction driven demand-side, supply-side and data management platform eco-system are pushing the landscape to where it is today. Affiliate marketing is just starting to make the leap from hard-coded links to a render-time decision, and the ability to utilize data to drive performance is going to have a huge impact.

MTS: What’s the biggest challenge for startups to integrate with a platform like VigLink into their stack?
Oliver:
At VigLink, we initially pitched ourselves as a “lights out” operation – install it once and forget about it, and just wait for the revenue to roll in. We focused on ease of installation and, if you want, you can still use VigLink that way. To really crank out the revenue, though, publishers and merchants both need to be watching their dashboards for what products are selling and trending via VigLink’s Trends Explorer. The challenge there can be that, to have the bandwidth and know-how to do so, it requires training and in some cases an editorial team incentivizing them to drive revenue.

MTS: What startups are you watching/keen on right now?
Oliver:
I’m a huge fan of Cloudflare. It was started by some classmates of mine and has grown tremendously – at this stage, they proxy about 10% of all web traffic. They have an amazing platform to give publishers a menu of services they can add.

MTS: What tools does your marketing stack consist of in 2017?
Oliver:
Intercom, Salesforce, Google Analytics, Hootsuite, Looker

MTS: How do you prepare for an AI-centric world as a business leader?
Oliver:
You prepare by being first. The lesson isn’t just that jobs can be automated into nonexistence, it’s that well trained computer systems can typically do the job substantially better than humans. Tesla’s relatively crude Autopilot system already decreases accidents per road mile by 10%, relative to the baseline. Functions such as ad operations and media buying seem highly prone to not just automation, but automation whose performance dramatically exceeds the performance of the humans it replaces.

This Is How I Work

MTS: One word that best describes how you work.
Oliver:
Single-threaded.

MTS: What apps/software/tools can’t you live without?
Oliver:
Gmail. 25 years later, email is still the core of how I communicate on the Internet.

MTS: What’s your smartest work related shortcut or productivity hack?
Oliver:
Tripit is a great simple tool for managing travel. I simply forward my emails to their platform and they curate a master itinerary for all my travel.

MTS: What are you currently reading? (What do you read, and how do you consume information?)
Oliver:
The Creator’s Code. It’s a smart book on what differentiates highly productive founders.

MTS: What’s the best advice you’ve ever received?
Oliver:
Never list your cell phone number on documents you file with the SEC. This tip has saved me from countless unsolicited phone calls.

MTS: Something you do better than others – the secret of your success?
Oliver:
Having an engineering background helps a lot. It lends credibility when recruiting engineers and gives me a sense of what’s possible on certain projects and in certain contexts.

MTS: Tag the one person whose answers to these questions you would love to read:
Oliver:
Elon Musk.

MTS: Thank you Oliver! That was fun and hope to see you back on MarTech Series soon.

[vc_tta_tabs][vc_tta_section title=”About Oliver” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108efa4a-d2aa”]

I am the founder / CEO of VigLink. We are making the web better by making every link intelligent and valuable.

[/vc_tta_section][vc_tta_section title=”About VigLink” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108efa4a-d2aa”]

viglink logo

VigLink technology instantly and automatically captures the value of content that drives commerce. We monetize ordinary links to over 40,000 retailers, whether they’re created by you or us. Our technology works across sites, apps, and social networks so you can focus on your business, earn more, and avoid the hassle of managing countless affiliate programs.

[/vc_tta_section][/vc_tta_tabs]
[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

Adobe Unveils New Advanced Analytics Products for Faster, Better Customer Intelligence

1
Adobe
Adobe Unveils New Advanced Analytics Products for Faster, Better Customer Intelligence

New Capabilities Within Adobe Analytics Would Enable High-Growth Brands To Derive Meaningful Insights Faster, And With More Precision

In its recent annual 2017 Digital Marketing Study, Adobe reported that most brands are taking significant strides towards digital maturity. Almost a quarter of these brands have actually self-reported themselves to be at the cusp of “advanced” maturity level. Taking a cue from the study’s findings, Adobe Analytics debuted a series of innovations which arm teams and workers with intelligence that can be curated for roles throughout the organization, leveraging advanced analytics and Adobe’s data management platform (DMP), Adobe Audience Manager.

Adobe Analytics, the customer intelligence engine of the Audience Experience Cloud, announced the availability of –

  • Context-Aware Sessions
  • Audience Analytics
  • New Visualizations

Analytics Drive Decisions and Actions: Why You Don’t Need a Data Analyst Anymore!

Building a relevant and successful business comes with a multitude of challenges, not the least of which is how to thrive in the face of competition.

Recommended Read: TechBytes with Jeff Allen, Senior Director & Product Marketing, Adobe

One of the most crucial elements to growing a business is having a deep analytical understanding of your customer base. Leading brands find that analytics powers every decision, from the strategic to the tactical; recognizing that a single valid data point could create the competitive edge that means the difference between success and failure. Whether a firm has a centralized data science team, or a single analyst, organizations need to democratize data to ensure it gets to every worker who is making decisions for the company.

Credit- Adobe Analytics

Bill Ingram
Bill Ingram

At the time of this announcement, Bill Ingram, Vice President, Adobe Analytics Cloud, said, “Adobe is the leader in marketing analytics, with thousands of brands leveraging our tools in unique and advanced ways.”

Bill added, “We are the only company that provides in-depth behavioral pathing and powerful segmentation that’s truly accessible to users at all skill levels, and today we’re ensuring that the analysis has even greater context to help drive business success.”

Read Also: CARTO Brings Geospatial Data and Analytics to Salesforce Einstein Analytics

Nearly two-thirds of the Fortune 100 use the Adobe Analytics Cloud to address their digital challenges, with the number of customers more than doubling between 2014 and 2017. These leading brands include G6 Hospitality, Major League Baseball, Home Depot, Carnival, ASOS.com and Royal Bank of Scotland.
AW-Map-Bubbles
Courtesy- Adobe blog

Aaron Fossum, Director, Digital Analytics, Holland America, said, “Our guest’s experience, from searching cruise destinations on a mobile device, booking an excursion on our Web site, and ultimately embarking on one of our ships is paramount to our success. Adobe Analytics Cloud has transformed our engagement metrics, and allowed Holland America to treat each traveler as an individual versus just a profile. In just a few weeks of leveraging Audience Analytics, we’ve been able to improve the efficiency of our direct-response buys by 30%, ultimately impacting our bottom line by helping to identify which guests are the most responsive to our marketing activities across channels.”

The New Capabilities of Adobe Analytics

Cross-Channel Journey Analysis On The Fly

Through Context-Aware Sessions within Analysis Workspace, marketers can flexibly define what constitutes a “session” to dynamically allow more precise analysis of multi-channel customer journeys. For example, an automotive brand may have multiple touch points with consumers through a mobile app: one might be a very brief interaction, such as someone remotely starting their car; another might be that user scheduling an oil change at a dealership. Both actions differ in the amount of time a consumer spends interacting with the brand.

Context-Aware Sessions gives app development teams a way to more granularly define how long a user interaction with an app lasts, creating more meaningful context for analysis. These parameters can be redefined on-the-fly and can be applied retroactively, so brands can decipher better insights leading.

Unlike other vendors who process sessions based on inactivity time-out parameters that are hard-coded on the mobile app client side, Adobe passes all behavioral data to the server and applies session definitions non-destructively on the server side. This helps Adobe give brands a more clear picture of how users are interacting with their experiences, helping them understand micro-journeys in mobile apps, while retaining the flexibility to still change session definitions again at a future point in time.

Continuous Audience Refinement

Available in both Adobe Analytics and Adobe Audience Manager, Audience Analytics empowers marketers with a way to consistently track audience metrics and drive valuable customer experiences quickly and at scale. This is done through a new bi-directional integration between the products. With this deeper integration, for example, a personalization team at a publishing company can now identify segments with the highest engagement in Adobe Analytics, then push these segments to Adobe Audience Manager for use in an ad campaign. After the campaign is complete, those audiences along with their campaign performance data can be pushed back into Adobe Analytics for additional analysis and audience refinement to further refine the audience for use in the next campaign. This back-and-forth continuous improvement is unique in the industry.

New Location Context Visualized for Everyone

New map visualizations in Adobe Analytics allow users to easily view their customer interactions in the context of a mobile app user or digital channel visitor’s location.

For example, a retailer can see that a promotion marketed within their mobile app has driven significantly more in-store traffic in the Time Square location than the Brooklyn one, ultimately allowing brands to change their promotional strategies to drive the behavior they want.

Building on Adobe Analytics’ heritage of enabling enterprises to move from insight to action instantaneously by uniquely integrating insights and action, Adobe introduce the new capabilities.

The capabilities include Context-Aware Sessions, Audience Analytics, enhancements to Analysis Workspace (Adobe’s easy-to-use data discovery and analysis tool), as well as virtual report suite updates for mobile teams.

These new capabilities enable increased collaboration, faster analysis and improved customer intelligence, allowing high-growth brands to derive meaningful insights faster, and with more precision.

Strengthening Predictive Analytics with Intent Data

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Analytics
Strengthening Predictive Analytics with Intent Data

mrpfdAs sales and marketing strategies are increasingly driven by machine learning and AI, executives in these areas should be looking for the best ways to source data for applications leveraging this technology. One such solution is predictive analytics. The keys to predictive analytics success can be summed in three areas – the quality of the data sources leveraged, the machine learning and AI used to prioritize those data sources, and the actions taken on the results.

Given the foundational importance of data sources to predictive success, intent data is a critical tool for sales and marketers to strengthen a powerful, evidence-based predictive strategy. A single intent source can contain some very actionable insights, but there can be challenges in finding those insights through all of the noise that’s not relevant to your target market.

At the same time, single intent sources don’t always give broad enough coverage of the target market. The real value of intent sources is how they can contribute to a larger, holistic predictive strategy.

 A complete predictive analytics solution combines a sound understanding of your target market and multiple sources of intent data and real-time engagement data to accurately predict and target new accounts. Target market data includes current customer intelligence and lookalike modeling, plus firmographic data derived from organization characteristics and technographic data that looks at organizations’ current solutions to glean information about purchase behavior. Real-time engagement data comes from responses to various sales and marketing tactics, including direct mail, display advertisements, inside and field sales outreach, and email campaigns to help round the solution out.

A Powerful Component for Predictive

 Intent data can build on target market intelligence with first-party and third-party data by helping uncover the content research and engagement trends for solutions in your stack. This type of data includes first-party data such as website traffic monitoring that companies can already access internally, and can be an invaluable advantage for a predictive solution. True intent data incorporates third-party data such as intelligence from the B2B web, making it even more powerful as a contributor to a predictive strategy.

Combined, this internal and external intent data provides a framework from which sales and marketing teams can begin to characterize the accounts that make up their current and prospective customers. Intent data forms part of a solid groundwork from which a predictive customer acquisition strategy can build if it has broad coverage of the target market. Real-time engagement provides the final piece to a true predictive solution.

Closing the Loop

Target market data combined with a single intent data source can offer a good picture of where demand might lie, but the real questions are how accurate and broad that picture is and how quickly you can act on it and learn from those actions. A complete predictive analytics solution looks at a variety of intent sources as well as other sources of intelligence in driving the machine learning algorithm to predict the next best targets.

In addition, real-time engagement offers an opportunity to learn even more about prospects. As customers respond to these marketing and sales tactics, the machine learning feedback loop can ingest that intelligence and add it to the growing image of target accounts. Intent data, coupled with target market data and real-time engagement, provides a clear view of where there is demand and how to best reach those accounts.

Stronger Together 

Intent data is a very powerful, raw tool that can provide great value for sales and marketing teams by identifying net new accounts in an active buying cycle or by helping to prioritize active buying accounts already in a sales database. However, it works best when it can cover most of your target market and is most powerful when used as a pillar of a predictive strategy.

Likewise, a predictive platform that doesn’t tap into intent data is missing a fundamental source of intelligence. A predictive engine without intent data can help determine lookalikes in your target market, but intent data shows the active research and customer engagement that signals a shift in the buyer journey and alerts sales and marketing teams when and how to engage. When a predictive platform is able to receive these signals in real time and act on them before the competition does, that is a true advantage in a competitive marketplace.

Breaking Down the Data Silo: How Social Media Data Has Crossed Department Lines to Provide Insight Throughout an Organization

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Social Media
Breaking Down the Data Silo: How Social Media Data Has Crossed Department Lines to Provide Insight Throughout an Organization

DigimindSocial media is more pervasive than ever and poised for further evolution. It has been reborn over the course of the past few years as a hyperfocused business tool– more targeted, simpler to use, and possibly more effective than before. Think about how social media use has transformed over the last couple of years: platforms are growing in size, the number of platforms has increased, and conversations have become more detailed and complex.

Rather than being siloed to researching marketing messages and measuring the efficacy of marketing campaigns, social media data has become a source of truth for consumer opinions – whether positive or negative – about products, brands, current trends, or figureheads. As social media becomes more ingrained in customer’s lives and their engagement with brands, social media analytics will become more integrated with both overall marketing and business benchmarks.

Here’s just a few of the departments that can harness the power of social media analytics, and how they can begin to incorporate social into their business tactics:

Research & Development (R&D)

Social media is not as planned or controlled as a traditional focus group when it comes to research and development; however, with concentrated time and dedication you can use these channels to your company’s advantage. And, ultimately, you can benefit the very people you’re polling with improved products and services.

In one of the most comprehensive studies to date, McKinsey recently surveyed 20,000 consumers in Europe and found that social recommendations influence more than a quarter of all purchases made. This is well above the 10 to 15 percent that’s been estimated in earlier research. And in the majority of cases, the McKinsey report found, these social updates had a direct impact on buying decisions.

Due to the unbiased nature of social media data, brands get the unfiltered truth from their customers and general consumers about their needs and preferences. Trending hashtags can lead to new variations of your products that you never considered or lead to a brand new idea entirely to reach an untapped market. For example, ASUS, a multinational computer hardware and consumer electronics company, used social media data to uncover that professional camera functions and long-lasting batteries were key deciding factors for users when comparing and considering mobile phones to purchase. Using this information, the ASUS ZenFone Zoom S was developed to include a dual rear lens camera, a first for the ZenFone series, and a 5000mAh battery.

Their new product offering was built based around the conversations they found on social media platforms. The company was also able to anticipate the strongest social platforms and keywords for their marketing strategy to increase awareness of the product launch.

Human Resources (HR)

In 2015, millennials surpassed Generation X as the largest generation in the workforce, with more than one-in-three American workers in the millennial demographic today. Forward-thinking businesses are using social media to further their recruiting efforts. They know that in order to communicate with millennials, you have to speak their language. To that end, the latest social media platforms provide what could be the perfect conduit for employers to reach this target audience.

However, one of the biggest advantages of human resource managers using social media on the job is that it makes the recruiting process easier and more successful for the company. HR professionals can post job openings on all the company’s social media sites, including links to the listings on the company website. This makes it easier for the company to increase awareness of available jobs openings. Companies are also seeing more success using social media to recruit new employees due to the fact that they can browse the social media sites of potential candidates to determine if he or she will fit in with the company culture.

HR professionals can also use social media insights to determine the types of benefits or perks their organization needs to consider offering in order to attract their targeted talent. Benefits and perks have become a key differentiator among employers in this competitive job market. By analyzing trends among professionals that fit your company culture or are actively working with in the recruiting process can glean insight into what they are looking for in their new career opportunity, and then tweaking organizational offerings to suit these needs.

Customer Service

Social media is one of the most effective channels for customer support in today’s digital world. Whether they have questions, complaints, or compliments, people are increasingly using social to connect with businesses. And the ones that practice social customer service well really stand out among their competitors. Brands that are great at social customer service will outperform brands that aren’t. According to a study by Aberdeen Group, companies delivering social customer service see an annual financial gain of 7.5 percent, versus only 2.9 percent for brands that don’t. These brands also experience a 5.4 percent increase in social buzz, whereas brands without social customer service don’t experience any gains.

Implementing customer service best practices on social media such as maximum time length between initial post and response, and methods to change a complaint into a success story are integral in growing a business in today’s market. Research suggests that the ability to manage customer service through social media can turn complaints into future revenue. If a customer receives great service via social media, they will spend 21 percent more with that company. Additionally, 71 percent of consumers who’ve had a good social media service experience with a brand are likely to recommend it to others.

Organizations can also learn from chatter about their brand on social media platforms to anticipate and correct issues before they occur in a formal complaint. By monitoring common themes being mentioned with your product or your competitors, marketing teams can help create content to address problems – including FAQs and instructional videos – to be shared across social platforms.

There’s no denying that social media is a force to reckoned with in the business world. Social conversations will happen whether you observe them or not. Using the insights generated from them can have a huge impact on your business – just find the right times and ways to implement them into your overarching business goals.

Interview with Michael Jaconi, CEO, Button

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Michael Jaconi, CEO, President

[mnky_team name=”Michael Jaconi” position=”CEO, Button”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/michaeljaconi?lang=en” profile_linkedin=”https://www.linkedin.com/in/michaeljaconi/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Mobile is changing how brands and marketers think about their spend. For the first time in history, spending can be truly ‘quantifiable’.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us a little bit about your role and how you got here? What inspired you to start a martech company?
Prior to starting Button, I had the opportunity to work under one of the world’s most successful entrepreneurs, Hiroshi Mikitani – or Mickey as his friends call him. In that position, I was able to learn from a leader who had built his company from a few people in a small room to one of the world’s largest internet companies.  Following Rakuten’s acquisition of a startup that I was helping run in Boston, I was able to gain insights into the global economy and witness firsthand how mobile was changing everything across the digital landscape.

In my capacity at Rakuten, I was helping lead some of their investment strategy – looking at all types of businesses and investing in some (we led a $100 Million investment in Pinterest back in 2012), and what stuck out to me most was the explosion in growth and speed of the mobile economy. That growth wasn’t being driven by Apple or Google – but by companies that were inventing new marketplaces based on the trends and behaviors mobile was introducing – an always-on connection, payment credentials loaded persistently, and a vibrant economy of new services that satisfied daily needs. Watching these trends emerge, I had confidence that a company like Button needed to exist – a platform designed to make connecting to these amazing new services easier for businesses big and small.

More technically, when viewing there was a lack of consistent linking protocol that allowed businesses to partner, collaborate, and share in the joint success. I knew that businesses needed this – and frankly, as a consumer – I wanted it, too! The ease of hopping in an Uber from a mapping app, or booking a table through a local app, or booking a hotel from a flight app – all these connections gave users what they want – while providing businesses a powerful new revenue stream.

That’s where the idea of “buttons” came to mind. Conceptually, I loved the concept of giving users what they want, when they want it, with the touch of a single button. With brands placing more and more emphasis on mobile, I felt like our timing was right. Fast forward to today, and we’re 45 people and are powering connections on behalf of some of the world’s most respected brands. And, although we have a lot left to prove, I’m proud to say we’ve introduced a model to one of the fastest growing economies that looks like it’s here to stay.

MTS: Given the massive proliferation of marketing technology, how do you see the martech market evolving over the next few years?
I think the general trend is that mobile is changing how brands and marketers think about their spend. For the first time in history, spending can be truly “quantifiable”. Whether it is using a platform like Button to drive commerce and commissions, or Ibotta to verify and attribute offline spending, or Pinterest to measure retail purchases from social – the device and all of the associated data and sensors and location access provide marketers the opportunity to be smarter about the dollars they spend.

As Chase showed earlier this year with reducing the number of sites they showed ads on from 400,000 to 5,000 properties with no dip in performance, I think mobile will only further that evolution in thought and strategy. We think that content must match the commerce or ads you’re trying to drive to, and I think the greatest areas of growth will be centered on this very theme, giving consumers a better experience: more of what they want, and recalibrating around models that enable the consumer to win. Because, in mobile – as consumers have shown us – that’s more important than any other area of focus.

MTS: What do you see as the single most important technology trend or development that’s going to impact us?
In the marketing tech world, I still think that mobile is a tremendously underserved category.

As the gap between time and money spent on mobile continues to close, I believe we’ll see transactional revenue streams emerge as more and more important than the traditional advertising models we’ve been used to. I think the natural progression is for advertisers to move to a more CPA-oriented mindset, as this typically yields the highest measurable ROI for brands.

You’re seeing this trend already with companies like Yelp acquiring Eat24, Facebook introducing the monetization of places, The New York Times acquiring WireCutter, TripAdvisor’s efforts with Instant Booking, and the story about Buzzfeed’s commerce-specific team.

If you want to look at the breakdown of channels in desktop and try to compare those to mobile, you’ll quickly recognize that the most significant gap in mobile today is the performance marketing category. Over time, we believe this will actually surpass the 20% seen in desktop because of the transactional nature of the mobile device. There is a marketing mix that exists in desktop that will be fully replicated in mobile.

If you break that down it looks like this:

  • Search: 32%
  • Email: 18%
  • Organic: 15%
  • Display/Advertising: 15%
  • Performance Marketing: 20%

MTS: What’s the biggest challenge that CMOs need to tackle to make marketing technology work?
As companies increasingly focus on their digital and mobile strategies, engineering talent is becoming inundated. CMOs will need to find solutions that are scalable and capable of being managed beyond engineering teams past the initial integration.

MTS: What startups are you watching/keen on right now?
Startups:
I love the businesses that are smartly solving problems with user interest in mind.

I have been a fan of Zergnet – partially because I think their founder is an amazing guy – but also because I think they have a cooler take on the content remarketing channel than other companies.

Big Companies:
I don’t know if you could consider Criteo a startup, but I’ve always marveled at their speed and execution.

Slice, which Rakuten bought, is one of the smartest models I’ve seen – and one of the few businesses in that category that truly scaled.

MTS: Could you tell us about a standout digital campaign?
One merchant we’ve worked with on multiple global partnerships is Groupon, integrating the app into the recently launched Hotels.com Mobile Concierge, leading loyalty app Ibotta, local discovery platform Foursquare, The Weather Channel, among others. In only six months, Button’s platform has driven millions of dollars through our marketplace to Groupon. We’ve become a popular channel used by Groupon for driving mobile acquisition and a go-to path for mobile partnerships.

This Is How I Work

MTS: One word that best describes how you work.
Thoughtfully

MTS: What apps/software/tools can’t you live without?
There are quite a few, and I’m probably going to miss a few here. To rattle off some top-of-mind: Uber for getting anywhere, United for flying me places, Viber for communicating, Amazon for basically anything, my iPad for reading, and the iRing you’ll find on the back of my phone to save me from dropping it.

MTS: What’s your smartest work related shortcut or productivity hack?
Kelsey Steadman (my EA)

MTS: What are you currently reading?
Shoe Dog

MTS: What’s the best advice you’ve ever received?
Outwork everyone in the room, and you’ll win.  – Mike Bloomberg

MTS: Something you do better than others – the secret of your success?
Trying to feel what others feel.

MTS: Tag the one person whose answers to these questions you would love to read:
Hiroshi Mikitani

MTS: Thank you, Michael! That was fun and hope to see you back on MarTech Series soon.

Also Read: Attribution has always been a challenge given the sales data is held by the retailers: Jonathan Opdyke, President, Brand Solutions, Criteo

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Button Inc.
Button
is the premiere mobile partnership platform for the world’s leading brands, providing a scalable solution and the simplest way to build partnerships that drive commerce. Through proprietary technology and hands-on service, Button facilitates discovery and transaction among consumers with a user-first experience. Current partners on the platform feature industry leaders such as Hotels.com, Condé Nast, eBay, Groupon, Uber, Foursquare, Booking.com, and more.

The company was founded in 2014 and was voted as a top 50 Best Workplace in the U.S. by Inc. Magazine and a Best Place to Work in New York by Fortune in 2017. In 2015, Button also took the top spot as the #1 Best Place to Work in NYC by Crain’s. Button has raised more than $34 million in Seed, Series A, and Series B funding from Norwest Venture Partners, Redpoint Ventures, Greycroft Partners, DCM Ventures, Accomplice Ventures, VaynerRSE and others.

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[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

TechBytes with Nick Bhavsar, SVP, Marketing, Bound

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Nick Bhavsar, Bound

Nick Bhavsar
SVP Marketing, Bound

In 2017, companies are focusing on right data, and not just more data. With the coming-of-age of website marketing and audience optimization analytics, marketers are empowered to solve complex business challenges using disparate data sources and meaningful insights. Personalization, hyper-engagement and customer experience have become the key dimensions to boost website traffic and content performance, engage visitors at scale and meet conversion goals. To understand how marketers can connect customer data with smart personalization engines, we spoke to Nick Bhavsar, SVP at Bound.

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MTS: What are the key components of the 360 Persona Technology™?
Nick Bhavsar: Bound’s 360 Personas provide an innovative approach to identifying and engaging known and unknown website visitors with personalized experiences. The personas are built by connecting multiple data sources from industry-leading data providers and marketing platforms in five key categories:

  • Firmographic data – company attributes such as company name, location, revenue and industry.
  • Demographic data – individual-level role-based data such as job function, seniority, occupation, and education.
  • Offsite Intent data – understanding the purpose of a visit based on the visitor’s browsing patterns before visiting your site.
  • Onsite Behavioral data – attributes such as entry path, page visits, time on site, clicks, device type and repeat visits.
  • Marketing Automation data – prospect and customer attributes such as pipeline stage, custom marketing automation fields, customer status, etc.

MTS: How does Bound connect customer intent data with smart personalization engines?
Nick: Bound combines intent data from unique 3rd party data sources such as Bombora along with information such as job role, behavioral and account data — providing marketers with an unprecedented level of insight on web audiences for focused segmentation and targeting.

Intent data sheds light on two primary aspects for personalization:

Identifying key topics
Content topics website visitors have shown interest in, based on their browsing behavior prior to visiting a company’s website.
Predicting product interest
Product categories website visitors are likely to engage with on a company’s website, based on their demonstrated interest.

MTS: How have website personalization standards evolved in the past 18 months?
Nick: In the past 18 months, 3rd party data sources such as Kickfire, Bombora, Linkedin, ClearBit and others have significantly improved their API access to allow real-time personalization to tap into their underlying insights. Marketers can now tailor the web experience to align to the needs of each of their personas.

MTS: Do you feel that modern Tech stacks are yet to fully leverage website optimization for audience experience and data-based content personalization?
Nick: Modern marketers are always looking for new technologies that can help them grow business profitably. However, many overlook an ability to connect their existing data and get more out of their current investments in technology.

As data vendors continue to evolve their APIs, marketers will be able to leverage their existing technology stack to tap into the intelligence required for personalization. Bound has taken an open API approach to leverage the best in breed data required to truly make personalization effective.

MTS: What’s the next frontier for MarTech integrations based on personalization technology?
Nick: As more data feeds personalization, marketers will continue to face challenges in deciding what message should be delivered to whom and when. While artificial intelligence can help automate the decision making, there is simply no substitute for human intuition. At Bound, we believe the future of personalization is a hybrid of using advanced analytics to empower a human to best architect the definitive digital experience.

MTS: Would you take us through Bound’s roadmap in building technologies for integrating conversion optimization, offsite intent data, and ABM?
Nick: Our roadmap breaks down into two key components:

  • Advance our analytics suite to help marketers better understand their audiences, how those audiences engage on and off their website, what content drives conversions and how to increase the effectiveness of their marketing campaigns.
  • Enhance our personalization engine to allow marketers to create engaging web experiences for their key targets at scale.

MTS: Thanks for chatting with us, Nick.
Stay tuned for more insights on marketing technologies. To participate in our Tech Bytes program, email us at news@martechseries-67ee47.ingress-bonde.easywp.com

Interview with Mark Magnacca, President, Allego

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Mark Magnacca
Interview with Mark Magnacca, President and Co-Founder - Allego

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[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Sales reps need to be knowledgeable not only about the industry they are selling to but about the company and even the prospect they are meeting with, prior to picking up the phone or sending off an email.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us about your role at Allego and how you got here? What inspired you to join a sales enablement and coaching platform?
I co-founded Allego in 2013 with my business partner Yuchun Lee. The idea behind the platform was something I came up with as new technologies, such as tablets and smartphones, grew quickly in popularity. As a veteran sales trainer with more than 15 years of experience, I noticed that despite these technological advances, sales training had remained stagnant. Corporations spend millions on classroom training and sales kick-offs that prove to be less than effective while ignoring the powerful recording capabilities, flexibility and mobility of smart devices that have the power to transform the training industry.

I knew Yuchun Lee through our participation in the EO, the Entrepreneurs Organization, and I thought he was the perfect person with whom to share my idea. I wanted to build a mobile-enabled sales training platform that would allow reps to record their sales pitches and share them with managers and peers for coaching, feedback, and certification. I knew the idea was powerful, but I did not have a background in software design or development.

After I shared it with Yuchun, we spent some time talking about it over a period of months, and he finally asked me, “Have you thought about building a software company that supports better sales training rather than trying to hire someone to build a software application for your training company?”

I said, “That sounds great but I don’t know anything about building a software company.” He said, “Well, I do.”

Shortly thereafter, Yuchun decided to leave his role at IBM and become the co-founder and CEO of Allego.

MTS: How does Allego identify and design contextually aligned sales content as an incremental revenue stream?
We don’t create sales content for our customers – we give them the tools to easily record and share their own powerful videos, created by peers for peers, as well as to receive point-in time feedback from managers on their pitches. This was by deliberate design, as over 65% of sales reps agree that sales pitch advice from peers is more effective than training from the corporation.

The result is that sales organizations create a sort of “corporate YouTube” library of best practices and insights for all the most common challenges specific to their individual company, in addition to the most relevant product and corporate content. This is essentially a self-updating sales playbook filled with distilled, highly relevant content coming straight from the field.

For example, after giving a sales pitch, reps can immediately record a recap of what they learned, the objections they faced, and what responses worked or didn’t work, and share this info with the rest of their team.

Of course, not all content can be peer-generated, so Allego has also partnered with leading sales training companies in the tech, medical devices, and financial services industries to help our customers to develop tailored corporate training materials that supplement peer-generated content.

MTS: How do you see Account-based “Everything” influencing sales enablement platforms?
The biggest element of “Account-based Everything” from our perspective is the importance of personalized content from the beginning of the sales cycle all the way through to the adoption of our software. This includes helping our customers use content they generate for their outbound marketing efforts. We believe there have been three distinct phases leading up to this transformation.

The first was the “just in case” era.

During this time period, which ended around 2010, you needed to learn something just in case you might ever need to know it. Think of it like learning calculus. You had to pass the course, but you may never have a reason to use it in your work. With the advent of the iPad and the beginning of the smartphone revolution, we saw the next phase – “just in time” learning, which Allego helped pioneer. In this model, salespeople could learn what they wanted to learn, when they needed to learn it. This brings us to 2017, where we are just at the beginning of the next phase, which we call “just for me” and which will help personalize a specific learning path for each salesperson based on their unique experiences, learning style and the results of assessments of their current knowledge.

MTS: What’s the biggest challenge that brands need to address to make their sales acceleration decisions work effectively using video platforms?
Allego currently has about 50,000 end users, so we’ve had a lot of experience getting sales reps on board with a video-based platform. The part that’s most challenging for end users is getting used to recording themselves – while platforms like YouTube, SnapChat, and Facebook have made video “selfies” common in our personal lives, recording yourself in a professional setting can take some getting used to.

Of course, that’s part of the value of video as a training tool – as sales reps, we might not realize what we actually look like when we’re delivering our pitch – what our body language is saying, if we’re making eye contact, whether we’re saying “umm” and “err.” Video turns the lens back on the sales rep, and the result is that pitches are far more persuasive and polished than they would otherwise be.

Our Customer Success team has come up with several innovative strategies to help end users feel comfortable with Allego to make roll out a success and to maximize adoption of the platform. This often includes assigning a simple first video recording, having top execs record videos using the platform, as well as incorporating humor into those initial videos.

Seeing their colleagues using Allego to share company culture and jokes can help reduce the intimidation factor and get other employees to say “Okay, I want to be a part of this, too.”

MTS: Is social selling the next frontier for sales professionals? How do you see Just-in-Time learning methodology benefit social selling strategies for B2B companies?
I truly believe that social selling has changed everything. Sales reps are no longer just order takers – with the wealth of information available to prospective buyers, sales reps need to be knowledgeable not only about the industry they are selling to but about the company and even the prospect they are meeting with, prior to picking up the phone or sending off an email.

Unfortunately, in today’s selling landscape, there is such thing as a bad question — it’s no longer acceptable to walk into a meeting and ask a prospect what they do. Instead, sales reps need to come armed with info from Google, LinkedIn, Twitter, the company’s website, etc. so that they can ask great questions and set the tone for the meeting from the very start.

Of course, with a sales rep’s busy schedule, a lot of this research takes place just-in-time – i.e. right before a rep walks into a meeting. This is where Allego delivers real and immediate ROI — sales reps can get the latest industry knowledge right at “go time” and can stay up to date on how peers are handling objections on a day-to-day basis. Effective selling is a moving target, and the only way to hit the mark is to arm sales reps with the most timely and relevant information – it’s also the best path to develop those meaningful relationships with customers that are so important to closing the deal.

MTS: What startups are you watching/keen on right now?
We focus most of our energy on helping our customers grow their business but do keep tabs on the latest developments in our sales-learning platform space as well as some of the adjacent markets.

MTS: What tools does your marketing stack consist of in 2017?
We use Marketo for marketing automation including email marketing and landing pages, as well as Salesforce for automation and managing our customer/prospect database.

We also use Yesware to automate our sales team’s prospecting efforts, as well as WordPress and Google Analytics to maintain our website and measure web traffic.

Lastly, video is a central component of our marketing efforts, so we use our own platform to share videos, such as customer testimonials and highlights from presentations at conferences. The public sharing feature within Allego allows us to generate shareable links to content created in our platform for use in emails, on websites and in social campaigns.

MTS: Could you tell us about a standout digital campaign? (Who was your target audience and how did you measure success)
We interviewed an Allego customer and former New England Patriots defensive tackle named Bob Kuberski on the Thursday before the 2017 Super Bowl. In this short video, he provided some interesting football insights that most fans would not know, as well as lessons that sales professionals can learn about training from professional athletes. That video was turned around in less than 24 hours and was one of the most opened, clicked and viewed email campaigns in our company’s history. It was a great reminder of the power of generating content that is relevant and timely and being able to execute quickly.

MTS: How do you prepare for an AI-centric world as a business leader?
I think that the changes to the selling landscape as a result of AI will, in many ways, be similar to the ways that social selling has altered the role of the sales rep. What I mean here is that AI will continue to push sales reps into a more consultative role, where they have more access to the customer experience and can add considerable value to the relationship.

Business leaders should understand that AI and other analytical tools will be a way of improving efficiencies, but sales management skills, including strategic planning, coaching and supervision, are still very much in the human purview. AI may be able to surface relevant content and information faster than we currently can, but it will still be the job of the sales rep to consult with confidence and understand the subject area of their prospects. Putting the tools in place to help reps continue to hone these skills will be the best way for business leaders to prepare for an AI-centric world, where the key distinction is hyper-personalization.

This Is How I Work

MTS: One word that best describes how you work.
I don’t think I can fit this into one word, but my motto has always been to work smarter, not longer. I guess if I had to choose just one word, I’d say “efficiently.” Efficiency is at the heart of Allego’s value proposition. The tools we develop and refine are designed to make the most of the time, resources and shared knowledge of an organization’s sales force. All of this is done with an eye toward maximizing the value of our customers’ time.

MTS: What apps/software/tools can’t you live without?
Besides Allego, I use Waze every day, even when I am traveling to places that I know how to get to. I find it helps me to stay focused and alert and I appreciate the crowd sourcing of real time knowledge.

MTS: What’s your smartest work related shortcut or productivity hack?
Keep an eye on your personal “redline.” An engine that revs high all the time doesn’t last long. People aren’t so different. I encourage our team not to overwork themselves. If you burn out, that’s not going to help anybody. As I mentioned above, I’m a huge proponent of working smarter and more efficiently, not harder or longer. For me, this means being very structured about how I get work done. I divide up my days into three different categories or types, and I know that in any given week or month, I need a mix of all three to be most productive. These are: buffer days, which include meeting prep/research as well as travel time; focus days, which consists of in-person meetings and calls; and free days, which are weekend or relaxation days where I spend time with my family.

For me personally, there’s a sweet spot comprised of all three that makes me the most productive. Too many focus days in a row and I’m not adequately prepped for my next meeting, or conversely, too many days in a row without a free day and I start to feel burnt out and less productive professionally.

MTS: What are you currently reading?
I have listened to five books since the start of this year including Titan, The Life of John D. Rockefeller and Alexander Hamilton by Ron Chernow. I am currently reading the Undoing Project by Michael Lewis which is a great story about how we make decisions.

MTS: What’s the best advice you’ve ever received?
“‘No’ is just as good an answer as ‘yes’.” I know for many sales reps, getting a “no” seems like a dead end or a failure. However, after being in the industry for many years, I’ve learned that in many cases, “no” really means “not yet,” and that time spent meeting with a prospect is never truly wasted. If you have a positive meeting – one where you’ve done your research ahead of time and the conversation goes well – you never know what future opportunities the meeting could bring. I can’t count how many times that months, or even years, after a meeting, someone has come up to me and said “You met with my colleague” or “I heard about your offering from so-and-so” and I end up making a sale through word of mouth. Every meeting, even if it ends in a “no,” is experience and often helps to plant the seeds for future relationships and sales deals.

MTS: Who is the one person in the industry whose answers to these questions you would love to read?:
Tony Robbins

MTS: Thank you Mark! That was fun and hope to see you back on MarTech Series soon.

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Mark Magnacca, President and co-founder of Allego, has spent the last 15 years helping sales leaders shorten sales cycles and distribute their best ideas faster. He has worked as a presentation coach with a wide range of financial service companies by delivering innovative, practice-development and business-building strategies. Mark is the author of “So What? How To Communicate What Really Matters to Your Audience.” His work has been featured in numerous media outlets including Fox TV, The New York Times and The Boston Globe. Prior to co-founding Allego, Mark founded Insight Development Group, Inc., a leading sales and presentation training firm specializing in the Financial Services industry. As a former financial advisor, Mark brings a unique perspective to the world of consultative selling. Mark is a graduate of Babson College and resides in the Boston area.

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allego
Allego’s mobile video sales learning platform produces better revenue performance by combining training, practice, coaching and content sharing into a single app designed for sales teams. Allego supports all types of learning in an engaging, convenient and effective way through the use of mobile and video. Tens of thousands of sales professionals learn to sell more effectively using Allego. With Allego, sales organizations accelerate time to competency, accurately deliver on message, confidently handle objections and effectively articulate value. Allego is available as a native app for the iPad, iPhone and Android devices, and can be accessed via laptop or desktop on modern web browsers.

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[mnky_heading title=”MarTech Interview Series” link=”url:https%3A%2F%2Fmartechseries-67ee47.ingress-bonde.easywp.com%2Fcategory%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

Flying Blind: The Struggle for People-Based Digital Identity Resolution

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Digital Identity Resolution

Consumers are spending more time on digital devices than they spend time on all traditional media channels combined. Marketers who are trying to stay in front of these consumers are increasing spend in digital media channels such as display, mobile, video, and social media.  While budgets are increasing, the core issue of people-based identity resolution is not being solved as it continues to evolve.  This core problem leaves marketers flying blind on who (and how many) they are actually reaching.

The world of digital media not only presents the problem of recognizing people, but significant complexity to align the cookie to a browser to a device to a real person and finally that person to a household.  Keeping these moving parts accurately aligned while the average consumer has 19 active cookies, uses 3.5 devices and over 50 percent of consumer change out devices every year, becomes incredibly challenging.  This is particularly difficult in the digital world where most companies don’t collect or use personally identifiable information out of respect for the consumer’s privacy.

The largest ad technology and media companies in the world are challenged with identity resolution and its corollary, cross-device mapping.  Without superior ID resolution, all critical components such as profile management, decisions, media buying, and measurement, are rendered suboptimal. In a perfect world, all matching at the person and device level would be deterministic but the reality is, even the biggest solution providers cannot pull that off.  This leaves the marketer reliant on inaccurate guestimates of who a consumer really is and what they know about them, which leads to low marketing effectiveness.

Promises made to marketers are continue to fall short.  While the ad technology strive to get to people based identification, they struggle with granularity, accuracy and persistent connectivity.  Further, they are selling the promise of consortiums that are limited in scale and now falling apart because the participants don’t know whose data to trust.  Data on-boarders and these ad tech stacks still speak in terms of segments and not 1 to 1 with no ability to update profiles decisioning and profile management.  New entrants in the marketplace tend to rely on old data sources for identity authentication.

Most marketers are using some combination of the status quo mentioned above and would be better off throwing their big pile of money into a bonfire.  When you cannot solve ID resolution your approach to the digital media world is fundamentally flawed.  The money you are spending on digital media is massively inefficient and the measurement of your programs are immediately inaccurate

How do marketers solve for this problem all while ensuring it is done without identifying the individual?  They need to become smarter about vetting the solutions they are using and the people they depending on.  Here are a few areas to explore:

  • People v Cookies – Is your digital media buying truly people-based, one-to-one marketing, resolving for all cross-device or are you relying on cookie pools?
  • Consumer Profiles – How much do you know about your consumer and do your profiles include online and offline activity updated in real-time?
  • Ad Tech Stacks / DMPs – Do you understand how limited and inaccurate your match, reach are and your limitations of staying persistently connected to real people at scale?
  • Accuracy – Is your media buying partner validating accurate media delivery at a person level?
  • Measurement – Can you attribute the impact of digital media spend with conversions (not clicks) at a person based level (connected all devices to the person) and measure incremental revenue?

Finally, many marketers rely on media buying agencies to spend their money.  Not only do agencies bring a conflict of interest representing only their trading desk, but agencies are not inventors of new technology.  They simply partner and rely on the status quo.  Marketers need to vet their agencies as much as they vet their ad technology.  Anything short of this effort is leaving the marketer flying blind.