Home Blog Page 4377

Interview with Mark Magnacca, President, Allego

0
Mark Magnacca
Interview with Mark Magnacca, President and Co-Founder - Allego

[mnky_team name=”Mark Magnacca” position=” President, Allego”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/markmagnacca” profile_linkedin=”https://www.linkedin.com/in/mmagnacca/”]
[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.

[vc_tta_tabs][vc_tta_section title=”About Mark” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108e7a51-a0b4″]

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.

[/vc_tta_section][vc_tta_section title=”About Allego” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108e7a51-a0b4″]

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.

[/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.

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

0
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.

Effectively Incorporating AI Into Marketing and Sales

0
AI Sales

fiind

As a martech enthusiast, I can vouch that there are hardly any marketers or sales professionals today, who are not incorporating artificial intelligence in some way. 91% of companies with world-leading brand recognition and high levels of customer satisfaction use AI solutions to increase customer satisfaction, compared to 42% of companies in their fields overall. -MIT Technology Review and Genesys, 2017.

We all use Alexa, Google Assistant and more. But the question to ask is – Is AI enabling us? Is the impact measurable?

While some continue to doubt the outcome, AI has helped us get closer to the customer by making us data-driven. For example, machine learning has been long applied in search engines by industry leaders such as Google and Microsoft, thereby continuously improving the relevance of search results for the end users.

So, if you look closely, what this means to us as marketers is – the impact of AI will be directly proportional to the quality of data that goes in. In other words, the better you know your customers and prospects, the more relevant you are to them. It also means that the customer data needs to be enriched to prevent decay (industry average for data decay is 30% YoY) and thereby ensure it is useful to derive predictive analytics, customer segmentation, sales intelligence, insights and more.

Assuming, the data hygiene is taken care of, let us look at the 3P’s where marketers can benefit the most from AI:

  • Prospecting
  • Prioritizing
  • Personalizing

Prospecting

One of the key metrics that a marketing team is measured by, is the prospect pipeline it creates. Prospecting is not about reaching out to your list by cold calling or emailing – it is about having real-time information on who is interested in your solutions and why. More importantly, do they have a budget for it? In a typical B2B scenario, where this information is even more difficult to get, an AI platform such as Fiind Smart Signals helps marketers and sales professional with signals on customer intent and product fit.

Now, let’s say you are running an ABM campaign – intent and fit signals are gold. You exactly need to know whom to target, why they would be interested, their stage in the buying cycle, etc. Since we touched upon ABM – here’s an ABM checklist that you can use as a blueprint.

Prioritizing

Once you have adequate information on your prospects and existing customers, it is all about prioritizing and segmenting them. This is where machine learning algorithms come into play with predictive lead scoring and hyper-segmentation. This gives a very scientific approach to segmenting your leads based on their sales propensity compared to speculations whose results vary with the experience of the marketing or sales professionals. AI is not just useful in the case of prospects but also for your existing customers where you can identify upsell and cross-sell opportunities based on the signals they exhibit across several sources internal and external to your organizational martech stack.

Personalizing

Now that the “why” and “who” part is taken care of, let’s look at the most critical part – “what”. Why should a prospect or a customer respond to your campaign? Is it relevant to them? We’re in an era of hyper-personalization. Marketers need to move away from the market mindset and be focused on giving the individuals that comprise the market – a great experience. No one wants to be sold to, they want to be engaged.

AI can help you with at the right pitch for the right customer at the right time. At Fiind, we like to call this “pitch points” which typically is the bedrock of all inbound/outbound marketing campaigns and also the intelligence that helps salespeople in ensuring meaningful conversations.

To sum up, there is no question of whether AI will enable marketers. It is all about how we integrate AI into our daily marketing and sales operations. AI is not here to replace human beings, and the effectiveness of AI in enabling relies on how well we augment it.

Let me know what you think?

How to Find the Right AI Platform for B2B Marketing and Sales Success

0
Guest post Deborah Holstein

EverStringHow to find the right AI platform for B2B marketing and sales success

A report by technology research firm Nucleus Research provides compelling new evidence of the power of Artificial Intelligence (AI)-assisted marketing. The study showed that in their first 30 days of using AI for advanced analytics and predictive functionality, the B2B sales and marketing teams at a commerce service provider increased business from the company’s top-tier accounts by 5% and created 25-35 new sales opportunities. Overall, the unique competitive edge provided by AI boosted the company’s sales by $150,000 that month.

AI has a significant impact on strategic marketing tasks including assessing total addressable market (TAM) analysis, selecting target accounts, enriching databases with key insights and informing demand generation strategies and tactics. It also allows marketing and sales teams to align and coordinate all their activities more effectively.

By doing the heavy lifting of identifying the right prospects and how to target them, AI can drastically reduce the current average of 128 minutes that sales reps spend identifying and researching leads. Freeing your sales team to spend more time selling, with enhanced intelligence and agility, will boost sales velocity and sales attainment.

With revenue growth targets always increasing, your sales and marketing teams are crying out for AI assistance. To get the most out of AI and ensure a high return on your investment, the right platform is critical.  

Here are the 4 things to look for when evaluating an AI platform for your B2B sales and marketing teams.

1)   Comprehensive, in-depth, up-to-date company profiles

If you put garbage in, you’ll get garbage out. According to distinguished Gartner analyst, Whit Andrews “high quality data is essential” and without a large volume of parameters and consistent content, strategies based on AI will face insurmountable problems.

An AI platform for B2B sales and marketing must be powered by a comprehensive, continuously updating database comprising best-in-class company-level data and tens of millions AI-derived insights and signals. Given the always-changing nature of B2B, data platforms need their input sources to be automated so the data science is always being applied to the most up-to-date company data.

Basic firmographics alone cannot reveal the best target accounts for your products and services. AI-derived insights, including detailed industry classifications, company stability, revenue and hiring growth metrics, will truly differentiate companies that are a high fit target for your product or service from those that are not. This rich data source will ensure your teams do not waste time fruitlessly engaging with low-fit accounts or miss critical opportunities with high-fit companies.

2)   Self service for new and updated models and lists in minutes

Many AI providers take a managed services approach to AI where the process to develop new models and target audience lists can take weeks or months, slowing sales momentum and growth. In contrast, a self-service AI platform allows your own team to quickly build new and update existing models in minutes, enhancing strategy outcomes and boosting execution agility.

Many organizations are using an AI platform to identify valuable new Ideal Customer Profiles (ICPs). When applied to enriched, complete profiles on their existing customer base during onboarding, AI helps teams discover previously unknown ICPs and expand their target base.

An intuitive AI platform also keeps your teams agile. When they see a promising new market or vertical, they can immediately create new models using company URLs or even just keywords. Instead of momentum being checked by the wait for managed services to deliver, your team will have fresh target account lists ready for action in minutes.

3)   Instantly actionable by sales team

Reps can waste hours researching for company and buyer insights on Google, LinkedIn, social networks and news sites. This leaves little time for truly value-driving activities, like making calls.

It’s not enough to simply use AI to identify target accounts. You also want your AI platform’s high quality, credible company-level data and insights to power outreach.

When the most critical insights about each company and its decision makers are right at their fingertips, your reps will save hours of research time.

Highly actionable insights on target accounts also helps achieve that elusive alignment between sales and marketing, which is a hallmark of the highest performing teams.

4)   Seamless integration with existing workflows and technologies

All sales people dream of being inundated with warm, inbound leads. But the harsh reality of achieving quota depends on them actively doing outbound prospecting. After a great call or closed deal, how many times have you heard a rep say, “I wish I had 10 more accounts just like this one”?

An AI platform can help fulfill this wish by surfacing those “10 more” right in their CRM tool. Seamless integration with Salesforce and other popular CRMs supports momentum and drives real-time, focused prospecting, while hiding the AI’s more complex features from the rep.

Your AI platform must also power your demand generation team by seamlessly integrating with Marketo and other popular marketing automation apps. As new audiences are identified by the AI, it’s critical that everyone on the go-to-market team is able to immediately take action.

According to Salesforce’s 2017 State of Marketing, the best performing teams are twice as likely to use AI as everyone else. It is now the fastest growing technology investment for marketers and “is raising the bar for efficiency”.

Selecting the right AI solution for B2B sales and marketing will determine how fast you get a return on your investment. You need to compare different providers on critical features like high quality and credible data, self-service, actionable insights and seamless integration with existing workflows, so you can be confident that your final choice will reduce time spent on data sourcing, synthesis and research. By freeing your team to develop better strategies and outcomes, you’ll keep your business ahead of the competition.

Grapeshot and MediaMath Announce Global Integration to Meet Demand for Prebid Contextual Targeting

1
MediaMath
MediaMath

New Integration Focusing on Live Contextual and Predictive Targeting through Page-Level and Trending Topic Analysis

Grapeshot, the contextual prebid brand safety, and predictive audience provider, announced a global integration with leading technology company MediaMath to meet a growing demand from its partners. The partnership sees Grapeshot’s full suite of prebid products now available globally on the MediaMath platform.

“We are excited to partner with MediaMath to jointly provide a world-class contextually-powered brand safety and contextual pre-bid solutions to MediaMath’s customers,” said John Snyder, Grapeshot’s CEO. “With Grapeshot, MediaMath’s advertisers can be confident their brand values and performance objectives are aligned before the media commitment is made.”

Brand safety is top of mind for marketers today, with 78 percent reporting that their brand reputation has been harmed in the past by “unintended” ad placement adjacent to inappropriate content (CMO Council). Grapeshot’s cutting-edge solution crawls more than seven and a half billion pages at page level, offering partners the ability to identify ‘brand unsafe’ environments before the ad is served. This helps drive reach, reduce wastage and limit risk for the company’s 7,000+ brand clients.

“Brand safety is critical for today’s marketers and is an integral part of MediaMath’s supply chain,” said John Van Antwerp, product manager at MediaMath. “Along with MediaMath Curated Market and our recently announced rollout of the IAB’s Ads.txt initiative, we are excited to offer Grapeshot’s entire portfolio of contextual prebid products in keeping with our commitment to providing choice and driving real business outcomes.”

Grapeshot also provides advanced predictive keyword targeting, a dynamic contextual targeting and content listening tool that offers greater scale and real-time relevance through the early identification of trending topics. And as a leading contextual, cookie-less provider, the integration of Grapeshot’s prebid products is timely given the EU’s upcoming General Data Protection Regulation (GDPR), which is set to significantly tighten up the rules around cookie-based tracking.

The Grapeshot-provided solutions available across mobile and desktop include:

Customized Contextual Targeting – Prebid audience qualification across 31 standard language segments and 171 customizable

Custom Keyword Blacklisting and Brand Safety — brand-customizable segments ensuring complete control and transparency at a prebid page level for maximum scale in a brand-safe environment

Predicts — Real-time, online content listening and dynamic contextual targeting allowing the discovery of new audiences and trending topics to deliver greater scale

Campaign Analytics – Keyword and line-item level, platform-agnostic insights and performance metrics

TechBytes with Jeff Allen, Senior Director, Product Marketing, Adobe

1
Jeff Allen
TechBytes with Jeff Allen, Senior Director & Product Marketing, Adobe

Jeff Allen
Senior Director, Product Marketing, Adobe

Adobe Analytics is a guiding solution for enterprises to build their existing datasets into impeccable customer intelligence insights. With data, there is always the complexity of scale, relevance and ROI, attached. How should enterprises juggle between multi-channel data streams for insights and actions into customer behavior and experience? The firepower behind the customer intelligence used by two-thirds of the Fortune 100, Adobe Analytics empowers modern CMOs in quick decision-making at an unmatched scale. To understand how Adobe Analytics stacks up into a modern CMO’s martech investment list and the applications of advanced AI/ML capabilities for customer intelligence, we spoke to Jeff Allen, Senior Director, Product Marketing, Adobe Analytics.

Html code here! Replace this with any non empty text and that's it.

MTS: Tell us about the evolution of Adobe Analytics and how it fits into a modern CMO’s martech stack?
Jeff Allen
: Analytics in the marketing world has evolved dramatically over the last two decades. The analytics market has evolved from being a function centrally delivered in marketing operations inside IT-function called Business Intelligence. Most lines of business would come to the BI team for access to data and sometimes for advanced analysis. At Adobe, we saw that with the explosion of marketing technology, which was brand new phenomenon for most CMOs in the last two decades, the requirements to build a digital business driven by analytics also grew.

We have been on this journey for 10 years now, starting with Adobe Marketing Cloud, which was reimagined as the Adobe Experience Cloud this year.

If you look at Fortune 500 list, you will find that the majority of the top 10 media, banking and financial services, telecom, travel and hospitality, technology, service providers, retailing and apparel, insurance, and automotive firms, leverage Adobe Analytics. We are the world’s largest web and digital analytics company, and we continue to consolidate our position as a scalable, lightning-fast customer-focused company.

At Adobe, we have three major lines of business –

  • Adobe Creative Cloud where all our premium creative tools and technologies reside
  • Adobe Document Cloud where all our primary document signing and workflow management tools reside
  • Adobe Experience Cloud which includes the enterprise version of both Creative and Document Cloud, in addition to three other sub-categories: Adobe Marketing Cloud, Adobe Advertising Cloud, and the Adobe Analytics Cloud

So, the Adobe Experience Cloud forms the primary backbone of any business today and the three categories add to build the primary objective of creating and delivering experiences that matter to the customers. The Adobe Experience Cloud is really the collection of capabilities that helps businesses deliver meaningful experiences. Certainly, you can’t create experiences if you don’t have intelligence, measurement, and analytics, driving those experiences. The focus is to build the analytics that your customers want and how you deliver that to them.

We announced Adobe Analytics Cloud using two existing technologies—Adobe Analytics and Adobe Audience Manager. Adobe Analytics is the measurement and analytics product line, while Adobe Audience Manager is our Data Management Platform (DMP).

Today, marketing teams have access to diverse analytics stacks within marketing technology. If you look at marketing, ad tech, digital and mobile app analytics, you would realize that the start of analytics could be attributed to web analytics.

Web analytics is usually the starting point for measurement in digital marketing and pretty quickly that industry grew beyond just being a web-centric industry. We started measuring every aspect of digital marketing analytics and that continued to expand into offline channels that marketing was doing generally. Today, web analytics has expanded to become a mix of marketing analytics and customer intelligence.

Adobe has played a major role in each of these evolutions of marketing analytics technologies, right through its journey from the web to digital, to marketing, to customer intelligence. Today, Adobe Analytics provides measurement technologies for the web, mobile, social, video, advertising and offline channels as well. So, we have managed to differentiate ourselves from the rest in the market at all levels of offline and digital analytics.

MTS: What are your unique offerings that make using data much easier and scalable?
Jeff: Our unique offerings are:

  • Tool-within-Tool Product Experience

We offer an impeccably refined level of in-depth analysis with our analytics tools. Our tool-within-tool enables customers to undertake deep segmentation of data. This means you can drill down indefinitely into tiny data-defined segments.

  • Scalable Integration with Other Technologies and Platforms

Scaling Adobe Analytics is easy and productive as you can act on data segments using a technology integrated with the DMP, targeting and behavioral personalization platforms and more.

Historically, we have always stood out in the way we offered analytics to marketing teams. More recently we developed Analysis Workspace, a powerful technology to democratize access to analytics. Workspace allows you to bring data into the workspace like you would bring imagery onto the creative palette of Photoshop. Using Workspace, you can drag-and-drop data tables, visualization, and components, helping you derive a clear insight into how your workflow looks through diverse experiences of people in the organization.

MTS: How does Adobe Analytics engine work discretely for marketing, sales, and customer intelligence?
Jeff: If you look at different martech categories, a modern CMO uses over a dozen tools for various purposes—email marketing, commerce and sales, social and relationship management, content experience, advertising and promotion and more.

For example, initially, the market of email service providers decided how and why marketing analytics should be embedded inside of email marketing tools. If I am using a tool to measure email marketing performance, I should be able to measure every metric related to a customer within the same product dashboard. With Adobe Campaign, the analytics experience for the email marketer (user) resides within the product itself and needs no additional buy-ins.

For categories like mobile apps, mobile web, or content experience management systems, the users (marketers) expect to use the tool directly from the Analytics product. Adobe Analytics delivers just that by embedding within Adobe Campaign, Target, and Adobe Social. It is central destination of analytics tool that satisfies the need of an email marketer who is not a data analyst as well as that of the primary analytics team who are measuring the entire customer journey based on purview of the online-offline touchpoints.

MTS: How do you add Programmatic Capabilities to Adobe Analytics?
Jeff: Fancy word for automation—that’s programmatic! Automation offers you scale; programmatic with analytics does the same if you do it at a continuous level in the advertising ecosystem. With Adobe Advertising Cloud, programmatic engine runs on the insights from Adobe Analytics. The Adobe Advertising Cloud for programmatic runs on the two vectors—timed insights and timed actions. These two vectors play the whole game around the Adobe Analytics engine. Under the hood, it’s all data science. In the context of programmatic, the job of analytics is to provide the insights on time and deliver in a highly refined manner for the best experiences.

MTS: How do you see recommendation engines for B2B and B2C e-market evolving with matured predictive intelligence and ML?
Jeff: Major investments in AI/ML and predictive intelligence from Adobe have been occurring for a very long time, not just in Analytics but in other technology stacks too. Our technology leverages Adobe Sensei, which powers intelligent features across all Adobe products. Adobe Experience Cloud uses dozens of ML/AI within Adobe Sensei. At Analytics, if you are looking at web data, it would be a complex set. Having AI/ML reduced human effort, delivering accurate as well as corrective measures about web experience of audience, much faster. Anomaly detection and correction becomes quicker with AI/ML used in analytics.

Mere discovery of anomalies requires a bunch of experts and a large team who would study the combination of data science in metrics, segments and dimension to see what caused anomaly in the first place.

MTS: What are the challenges you foresee in adoption of AI/ML technologies? How does Adobe Analytics enable businesses to overcome these challenges?
Jeff: In the marketing technology world, timing and relevance is everything. The idea of building centralized AI/ML tools for general purposes is very over-simplified. The buzz around Big Data may have over-simplified the way businesses see challenges in working with data. The challenges to working with data are multi-dimensional. Onboarding, collecting, extracting, loading, encrypting, decrypting, managing and transforming data – there are challenges at every step with working with tools and utilities. And then, there are security and governance issues in the way data is mined and used.

Until you have the data management process in place, scaling and speeding AI/ML would prove futile. So, the biggest challenge is to get data ingested into the system that can drive powerful algorithms, move up the stack to run prescription and prediction, and conventionally develop theories and get to the idea of prescriptive action.

Frankly, we talk to customers that the need of the hour is to move away from being descriptive and diagnostic in their approach to analytics and move up to adapt prescriptive-predictive methodologies. The organizations that are able to do it are invariably successful at working with prescriptive and predictive intelligence. For marketing teams, Adobe built special infrastructure that gets analytics faster, almost instantaneously.

MTS: What’s the next-frontier for marketers in customer experience and audience engagement?
Jeff:  The impact of Adobe Sensei on Adobe Analytics is incredible. We are advancing towards predictive and prescriptive analytics based on the low-scale specification of usage. The purpose of deploying AI/ML is not just to get things done fast, but also do it in way that is easy to use at every level of the organization. It is expected that organization would work better—but that’s hard thing to achieve. Adobe Analytics helps bridge the gap. While customer needs are simpler, the insights about their experiences and engagements are complex. With simpler user experience, Adobe Analytics quickly analyzes the complex parts of customer data. Adobe Sensei is at the core of all our technology stack, enabling high-level visualization, recommendation, segmentation and learning systems to deliver scale.

MTS: Thanks for chatting with us, Jeff.
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 Jeff Finn, CEO, zvelo

0
Jeff Finn
Interview with Jeff Finn, CEO - zvelo

[mnky_team name=”Jeff Finn” position=” CEO – zvelo”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/jjfinncolo” profile_linkedin=”https://www.linkedin.com/in/jeff-finn-085712b8/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“The overall programmatic market will continue to suffer unless (and until) ad fraud is eliminated and brands have trust in the system.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology

MTS: Tell us about your role at zvelo and how you got to where you are today. What drove you to be part of an AdTech service/content categorization company, and how has zvelo evolved?
As CEO of zvelo, my role is to build an effective leadership team that sets the strategic direction for our company, determines the operating plan and builds their respective teams to successfully execute on that plan. The products and solutions that zvelo delivers to AdTech are a natural extension and evolution of the technology we’ve been developing for a decade. Our mission has remained being the leading provider of categorization and malicious detection of web content, traffic, and connected devices in order to make the web safer and more secure.

MTS: What’s the holy grail for achieving programmatic success with existing advertising technologies?
First, eliminate Ad Fraud – provide brands with trust that their advertising dollars are being effectively invested. The overall programmatic market will continue to suffer unless (and until) ad fraud is eliminated and brands have trust in the system. Second, provide highly targeted advertising that combines contextual, location and behavioral signals; the data exists to enable ads to be delivered to a specific individual with specific context at a precise time and location.

MTS: How does pre-bid bot/non-human impression blocking help advertisers combat ad fraud?
Pre-bid or real-time blocking of NHT impressions allows the Ad Tech industry to effectively eliminate ad fraud. The technology and data are available to virtually eliminate ad fraud TODAY, for those advertisers that have the fortitude to demand this level of service from their suppliers and partners.

MTS: To what extent can predictive intelligence capabilities for measuring invalid/bot web traffic affect the content creation and categorization for omnichannel customer engagements?
From a categorization perspective, having predictive intelligence about invalid and bot web traffic can allow them to have the peace of mind that their campaigns are being engaged by actual humans. Having this peace of mind about their inventory will then allow them to focus on specific content creation for their intended targeted audiences, and mitigate the fear of wasteful ad spending.

MTS: How do integrations with web filtering, brand safety, subscriber analytics, and other use cases make website categorization effective?
By combining data and signals from categorization and the malicious detection of web content, traffic/impressions, and connected devices, zvelo is able to utilize AI and Data Science to identify behavioral anomalies, perform early detection of new botnets being used for Ad Fraud, DDoS and other cyber threats, and proactively predict sources of pending attacks.

By having visibility into trillions of transactions a month, zvelo is able to identify malicious sources (whether hacked PCs or IoT devices, dedicated bots, or targeted threat actors) that are being used to attack systems via multiple threat vectors. For example, we are increasingly seeing compromised IoT devices that are being used not just for DDoS attacks, but also for Ad Fraud, spam and other purposes.

Having the visibility of a broader world of transactions than just AdTech allows zvelo to have much more comprehensive threat detection than someone who is focused exclusively on ad tech.

MTS: What’s the progress with bot detection capabilities gaining traction within the AdTech industry to enable brands to better combat ad fraud and adhere to brand safety standards?
Brands could effectively eliminate ad fraud right now if they demanded that level of service from their suppliers and partners. It’s the brands who are going to need to be the main driver of holding the entire industry to a higher standard.

Brands need to understand that the technology exists today to stop bots. However, that will result in potentially less revenue for most players in the ad tech ecosystem, as the advertising investment will be significantly more efficient (the same or better results for fewer dollars). But, it must start with the brands!

MTS: Do you have any customer digital campaigns that stand out due to zvelo’s solution? Who was the audience and how did you measure success?
zvelo has enabled many partners to be more successful in honing in on Brand Safety and eliminating fraudulent impressions. One recent example is S4M, who has licensed our IVT data. The IVT dataset equipped S4M with the ability to filter out ad traffic created by malicious bots and other non-human sources. It has filtering non-human sources from its ad impressions and clicks, of which the company discovered about 4% of each to be problematic. S4M has also been able to identify publishers delivering high percentages of bot traffic, allowing it to reallocate ad spend toward those publishers proven to supply higher quality traffic.

MTS: What adtech startups are you watching/excited about right now?
Some of the technologies related to addressing malvertising (where the actual ad unit is hacked and delivers the exploit) and spoofing of the targeted ad page are of interest. There’s also some really exciting work being done at the intersections of subscriber analytics, app, and video categorization. There are some really big tech challenges to doing this right, and there are some really bright people focusing on solving the problems in those areas.

This Is How I Work

MTS: What’s one word that best describes how you work?
Persistent

MTS: What apps/software/tools can you not live without?
Collaboration tools (such as Slack, Google Docs, Pivotal Tracker). We do a lot of small team collaborative efforts, so having tools that allow for sharing as we work towards a final decision/deliverable is critical to getting the desired buy-in and commitment.

MTS: What’s your smartest work-related shortcut or productivity hack? ”
Try to do email in batches through the day – otherwise, you spend your entire day simply doing email.  With a personality style that tries to be “responsive,” email alone can consume a day due to the volume.

MTS: What are you currently reading? (And more generally, what do you read regularly and how do you consume information?)
I am a big consumer of content and typically am reading 2-3 books a week. I just finished The Attention Merchants and American Serengeti and am now reading The Rise of Theodore Roosevelt and Hillbilly Elegy. I’ve also really gotten addicted to podcasts, including Malicious Life and Jocko Podcast – they’re a great way to spend drive time on very specific topics.

MTS: What’s the best advice you’ve ever received?
Get back up.

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

[vc_tta_tabs][vc_tta_section title=”About Jeff” tab_id=”1501785390157-b58e162d-0ae25a4b-c27aca64-108e2539-b034″]

Passionate about content categorization, cybersecurity, ad fraud/viewability/engagement in ad-tech. Hunting,Precision Rifle shooting, fly-fishing, tennis and golf enthusiast.

[/vc_tta_section][vc_tta_section title=”About zvelo” tab_id=”1501785390320-2d44fa50-740c5a4b-c27aca64-108e2539-b034″]

zvelo logo

For nearly a decade, zvelo has been the leading provider of contextual categorization and malicious detection for URLs for a wide range of data sets and attributes and languages. Objectionable category values mapped to IAB taxonomies include: malicious website detection, piracy, pornography, and violent content among others. Data sets are accessible through simple, intuitive APIs for integration with applications in online advertising, brand safety, network security, big data analytics and other uses cases where accuracy, coverage, performance, multi-lingual support and scalability are key performance metrics. Using proprietary “hybrid” categorization and detection techniques that combine Artificial Intelligence, supervised Machine Learning and human quality assurance, zvelo has categorized over 99% of the active web in nearly 500 categories with dozens of supported languages.

[/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.

Jahia Bridges Digital Marketing Solution with Salesforce Sales Cloud for Reinforced Lead’s Data and Context Accuracy

0
jahia

Jahia Announces the Release of a Bi-Directional Connector to Salesforce, Allowing Lead Update/Creation in the CRM Solution and Visitor’s Profile Enrichment in Its Marketing Factory Solution

Jahia Solutions Group, vendor of the most advanced open source Digital Experience Platform announced the release of a bi-directional Salesforce connector.

This new connector allows a lead to be created/updated in Salesforce or update the Marketing Factory profile of a contact or lead from Salesforce. A 10-minute demo video showcases this new addition to Marketing Factory.

Elie Auvray
Elie Auvray

“Our customers value a lot the knowledge and the experience optimization that Marketing Factory provides them with. It felt essential to bridge our digital marketing solution to the most popular CRM solution in the world to further enrich the accuracy of context and data attached to a given lead,” says Elie Auvray, CEO at Jahia Solutions Group.

Originally released in November 2015, Marketing Factory benefits from an intense roadmap (3 to 4 releases a year) that regularly expands the digital solution capabilities in order to bring more flexibility and finesse to marketing teams.

Open sourced code

The code of the Salesforce connector has been contributed to the Apache Foundation via the Apache Unomi Project. Apache Unomi is the open source customer data platform that manages Jahia Marketing Factory  customers, leads and visitors’ data, and that helps personalize customers’ experiences, whether the visitor is known or anonymous.

Subscription for mission-critical projects

As with all other Jahia products, connectors and solutions, the vendor provides an annual subscription for this connector that works as an insurance.

Jahia is a software vendor that provides the most comprehensive and integrated open-source Java Digital Experience Platform (DXP) that unifies content, applications and customer data for truly personalized customer experience.

Leveraging Jahia’s DXP strong continuous integration capabilities and easy to use interfaces, IT & Marketing teams build and manage together all their multichannel initiatives, faster than with any other solution.

Founded in 2002 and headquartered in Geneva, Switzerland, Jahia Solutions Group has its North American headquarters in Washington, DC, with offices in HoustonToronto and throughout Europe. Jahia’s loyal customers community counts hundreds of  global brands and organisations such as HomeAway, BNP Paribas, Sodexo and the European Parliament.

 

A Publisher’s Journey to Data Collection: Adapting Netflix’s Approach

0
Aluma – Half of Ad-Supported Netflix Subscribers Find the Ad Load Excessive

Cint LogoWhen looking through the history of consumerism, there is one thing that remains clear to publishers of all sizes – today’s consumer is drastically different than those from five years ago. Gone are the days when publishers could mass advertise and still hope for success. Consumers now expect a catered and personalized interaction on a continual basis. We are in, what is dubbed, the “Netflix era.”

While select publishers have begun to take notice of this and incorporate this personalized mindset into their business strategy, many are still in need of a wakeup call. Take Disney’s recent departure from streaming powerhouse Netflix, for example. When Disney announced it was launching its own streaming service, it was seen as a logical response for a business in this era. This decision gave the entertainment giant the ability to reach consumers directly and has bigger implications than many people realize. This is a move publishers everywhere should watch closely, from the New York Times to local daily papers.

For publishers in the “Netflix era,” you either gather data or you die.

Personalization is key

This data delivers the opportunity for personalization, which is vital to consumers. According to Microsoft, the average attention span has declined to eight seconds, down from 12 seconds in 2000. Coupled with the fact that most humans experience 5,000 advertisements per day, consumers demand content that is relevant, timely and automatic.

Many publishers are still fighting through the jungle of data and are unsure of how and why this is a vital aspect of their business. With its departure from Netflix, Disney’s new streaming service will allow the company to reach all of its consumers directly. Why does this matter? Out of all levels of data collection, first-party data provides the greatest opportunity for optimization and value as insights are gathered straight from the source. This new service will permit them to gather first-party data on consumption habits in order to personalize the experience for each individual viewer – just as Netflix has done.

This continued evolution in broadcast media has proven successful and now print media needs to follow suit. Even with print, a historically static medium, consumers demand content that is instantaneous and tailored. This is a substantial difference from many news websites where a “most read” section is the biggest piece of personalization available.

Data is mandatory

 Having the opportunity to collect and leverage first-party data and, as a result, have the ability to analyze consumption habits, is priceless. This process allows companies to create better customer experiences and more fulfilled users.

When examining successful companies, it is apparent that first-party data collection is no longer just an option, but is now mandatory. It is vital that publishers adapt a new data approach with their content teams and technology stacks in order to retain customers through real-time personalization. In fact, in a survey done by Forrester Consulting, 87% of respondents listed first-party data as the most important data source, but only 49% said they would likely increase their usage in the future. If they continue to ignore this, publishers will risk rapidly declining subscription numbers.

Understandably, this new mindset is no small ask for print publishers. It will require each company to adopt a completely new data approach, but the need is real. Just a few short years ago, ESPN was a fortress, the heart of televised sports viewing. Now it is seeing its subscription numbers fall and firing household names. Rolling Stone has experienced a similar fate recently. With its impending sale, the company admitted that it was not able to keep up with trends in the publishing industry.

First-party data is the future

These moves in print media is evidence that how consumers experience content has changed and this also demands a change in how publishers conduct their business.

Consumers’ demand for personalized content will never end. In fact, it will only get stronger and evolve to include other aspects of their consumption experience. With this advancement, it is vital that publishers progress on a similar, if not greater, scale.

First-party data provides the ability to closely understand experiences and ensure that publishers are delivering relevant and timely content to the intended recipients. This data collection on the back-end will provide a much better result on the front-end.

Holiday Planning Starts Early In Digital Advertising 

0
Digital Advertising

choozleThe holiday season can be one of the busiest times of the year. Being prepared for upcoming holiday digital advertising campaigns, and doing so early, can help brands and agencies capture the increased revenue opportunities that the season provides.

As we get into the rush of the season, we took a look at last year’s campaigns ran through within our platform, Choozle, to better understand how things could shape up for this year. Generally, the numbers show that there was a huge increase in spend (31.39%) which resulted in more bids (63.19%) and impressions (54.52%.) Digital shopping is becoming more powerful each year, so it wouldn’t be a surprise if these numbers increased exponentially in 2017. During the 2016 holiday season, our reports showed that there were more bids for advertising inventory, but it was increasingly more difficult to place the ads (5.31% decrease of win rates) while maintaining CPM costs (14.97% decrease in CPMs).

With that being said, going into this year’s increasingly popular and lucrative winter holiday shopping, marketers need to understand how they can make the biggest impact. Here are a few tips for optimizing your digital advertising campaigns this holiday season.

Start planning now

According to research, 40% of consumers begin their holiday shopping by Halloween, which means your campaigns should launch by mid-October. This allows for less expensive CPMs, increased reach, and both decreased competition and noise for your brand message to break through. This lets you take advantage of the Thanksgiving rush, but it also spreads awareness of your brand for Cyber Monday and the rest of the holiday season. It requires more forethought and planning, but also means you’re not setting up a campaign while Thanksgiving dinner is being put on the table and CPMs are spiking.

Adjust your bid strategy & optimize your budget

With any industry, one thing is true across the board: programmatic becomes more competitive during the holiday season. Because of this, it is important to understand that you cannot maintain your Q3 bid strategy. This is because bidding at a lower CPM, plus increased competition, will result in a lower win rate. A few inexpensive targeting strategies that you can incorporate include categorical targeting, site list targeting, and open geo-location targeting. All are free of any data targeting costs and will lower your overall CPM.

Get ready for Cyber Monday and Retargeting Tuesday

Nearly 75% of consumers say that sales or price discounts help them decide where they shop. Discounts are the most frequent Black Friday and Cyber Monday sales strategies; however, the bigger win is driving all those users back to your site on Retargeting Tuesday. Promote a deal whenever possible. No one wants to pay retail, especially during the holiday season.

Avoid creative fatigue

Ad fatigue happens when customers have been exposed to the same message one too many times and are no longer able to “see” the ad. Try to utilize variations to find out which creative is breaking through the noise. Having a few different versions live from the start will make for more agile optimizations and identification of the best performers by crunch time.  Also, be aware that frequency cap and creative refresh needs even more attention than usual. Customers are going to be blasted with advertising all season long, and seeing your same creative eight times a day is going to lead to them tuning it out. Two options: Go more conservative with frequency or switch up the creative. Even a new background image works and can be approved by clients or stakeholders ahead of time.

Don’t forget about mobile.

Now, more than ever, people are searching on their mobile devices. Therefore, make a plan to be on mobile if you aren’t already; integrating these types of campaigns into your strategy will enable you to reach more consumers. Make creatives that translate to smaller screens and advertise on sites that are mobile-optimized to create a better user flow. Mobile-specific ad sizes are as follows: 300×50, 320×50.

Don’t let the warm weather distract you from setting up your campaigns for success this holiday season, and be sure to keep these four industry insights in mind as you do.

Research Now Enhances Samplify Platform

0
Research-Now

Easy-to-use Platform for Accelerated Insights Now Includes User Survey Authoring Capability

Research Now, the global leader in digital research data and solutions for better insights and decision-making, announces an enhanced version of the Samplify platform, the company’s DIY platform that enables marketers to conduct quick-turn agile research cost-effectively for faster time to insights. New to the platform is a robust survey authoring tool that is designed to be used without special research expertise. The easy-to-use drag-and-drop interface to author surveys allows marketers to reach consumers 24/7.

With the self-serve survey authoring capability, marketers gain access to advanced data visualizations within the Samplify platform, enabling them to make meaningful discoveries without having to sift through large data sets.

Nina Angelo
Nina Angelo

“Samplify’s survey tool helped us quickly and accurately get feedback from our niche market segment within hours. It’s relatively easy for companies to survey their own customers. To expand your market share, though, it’s important to understand the non-customer’s perspective, too. Samplify helped us do just that, and our product and go-to-market strategy are stronger because of it,” Nina Angelo, VP of Product Marketing, Top Hat said.

The Samplify platform accesses Research Now’s industry-leading panel data of millions of consumers worldwide – including hard-to-reach consumer audiences like younger millennials. It features robust targeting capabilities based on hundreds of attributes such as automobile ownership, cellphone type, children in household, computer ownership, and grocery shopping.

Anthony Lam
Anthony Lam

Anthony Lam, Product Manager, Research Now says, “We are pleased to empower marketers with the autonomy to author surveys and conduct research at a moment’s notice – whether they are a novice or an experienced researcher – and to enable cost-effective rapid insights that are highly reliable thanks to Research Now’s robust panel data.”

As a self-service platform, Samplify studies are accessible via the web through Research Now’s online request form and can be conducted immediately once a login is issued, with results delivered in real time. API login is additionally available for seamless integration.

Mayer Danzig
Mayer Danzig

“In a dynamic marketplace, change is constant, making speed to insights vital for marketers and agencies.  The Samplify solution goes beyond just time and cost savings benefits, enabling marketers and agencies to glean real-time, actionable insights to better inform marketing decisions with confidence,” Mayer Danzig, Senior Vice President of Product Management said.

Web Summit Uses Neo4j For Innovative Conference Support

0
neo4j

Leading Tech Conference Organiser Web Summit Implements a Recommendation System Using neo4j to Scale Their Events past 100,000 Attendees

World-leading tech conference organiser Web Summit is using graph technology software from Neo4j, the #1 platform for connected data, to improve attendee experience across all its international conferences.

Web Summit’s conferences are supported by a powerful and scalable app, designed to help the company expand their events and help attendees network. Underlying this unique app is Neo4j, which allowed Web Summit to quickly and easily deploy and extend the advanced algorithms that power best-in-industry event recommendations. These recommendations ensure attendees make the best connections at and get the most out of their time at the conferences.

Evan O'Brien
Evan O’Brien

For Web Summit software engineer Evan O’Brien, “Our conferences enable the best possible networking opportunities for our attendees, and there’s no better way to represent a network than with a graph.”

Web Summit’s lead data scientist, Steven Tobin, says graph database Neo4j is the best way to model such relationships: “Neo4j is a perfect fit for our approach to conferences, letting us model and leverage attendees’ existing relationships and all their interactions during the conferences in real time.”

O’Brien adds, “Neo4j’s technology not only makes what we do possible, it also makes it scalable.”

Emil Eifrem
Emil Eifrem

Neo4j’s CEO Emil Eifrem is set to present ‘The past, present and future of graphs and connected data,’ at the upcoming Lisbon Web Summit (November 8, Binate.io stage, 11.40am-12.00pm). Emil will cover the state of the graph database landscape, the power of connecting data, people, systems and things and the popular graph use cases with real-life examples ranging from space engineering with NASA to the Panama Papers investigatory journalism. Attendees will also hear his thoughts on the future of graph technology and its position in emerging use cases such as machine learning and AI.

Vemba Raises $6 Million in Series A-1 Funding from Time Warner Investments and Spotx

1
vemba

SpotX’s Investment Further Expands Vemba’s Relationship With The Video Advertising Platform

Toronto-based Vemba announced that it has raised $6 million in series A-1 funding from Time Warner Investments and SpotX, with participation from existing investors Upfront Ventures and Bertelsmann Digital Media Investments. The funding will be used to further expand the company’s technology offering for content owners and publishers and continue rollout of the platform to the world’s largest media companies.

Global advertising demand for premium mobile and desktop video experiences continues to increase, with advertiser budgets for video growing by nearly 70% in the last two years. New video formats in social, over-the-top (OTT), and on the Web require more diverse options for content owners looking to achieve broad distribution and publishers aiming to enrich the video experience for their users.

Norbert Horvath
Norbert Horvath

“In the current video landscape, flexibility is paramount. It is no longer acceptable to present an offering with confined player options or advertising rules.  We built Vemba to be the most dynamic platform ever introduced to the marketplace, allowing producers and publishers to transact more easily and simplify the complex editorial and business workflows associated with legacy models,” Norbert Horvath, Founder and CTO, Vemba said.

Vemba has created the first player-agnostic technology solution for video distribution, allowing publishers to integrate third-party video content and advertising within their preferred editorial process and existing video workflow. Producers maintain better control of their content with Vemba, and publishers can feature original and complementary video without needing to adjust for unwieldy third-party players or advertising restrictions.

With Vemba at the intersection of every transaction, both content owner and publisher receive real-time analytics on the performance of video and advertising, regardless of OVP, video player, ad server, or CDN.

“Too often video syndication businesses have run on an ‘honor system,’ with producers sending a feed into the atmosphere and crossing their fingers they’d get a report 30 to 60 days later telling them how their content performed. Using Vemba, all parties will have the same real-time insight into performance, allowing for continuous optimization of delivery and programming,” Horvath said

“With so many options for content extension in the marketplace, it’s imperative that media owners maintain close guard of their video and ensure destinations align well with their brand. Working with Vemba enables Vice to efficiently manage all components of our strategy, from publisher selection to programming strategy and user experience,” Andrew Smith, SVP Digital Advertising Product and Solutions at Vice, a Vemba partner said.

“Video businesses that position themselves between premium content and high-quality, brand-safe scale will continue to win the day,” said Scott Levine, Managing Director at Time Warner Investments.  “We recognize Vemba’s platform will be critical as big media companies navigate an increasingly complex video ecosystem.”

SpotX’s investment further expands Vemba’s relationship with the video advertising platform.

“We see our publisher partners having a growing need for flexible distribution and monetization solutions that work across multiple content outlets. Combining the Vemba distribution infrastructure with SpotX’s modern ad serving solution will provide media owners with an integrated and holistic view on content, distribution, audiences and sales,” Mike Shehan, CEO, SpotX said.

Lattice Enhances Data Capabilities for AI-based Segmentation Engine

0
lattice-engines

Improves Omni-Channel Campaign Performance by 3x

Lattice Engines, a leading provider of revenue acceleration solutions, announced a significant new version of its AI-based segmentation platform that has enhanced data and operationalization capabilities. Lattice’s predictive platform now has 3000+ intent surge intensity ratings that predicts how far into the buying cycle your prospects are, and ability to create hyper-targeted digital audiences on 200+ ad-serving platform, including Facebook, to reach those prospects.

Chitrang Shah
Chitrang Shah

“Effective programs require an omnichannel approach where teams engage buyers with a consistent message across all offline and online channels. Buyers today are inundated with irrelevant messages from brands, in fact 96% of marketers say their ads are reaching the wrong people. Our new release enables teams to run hyper-targeted campaigns that reach buyers with the right profile who are already searching for a solution, improving the ROI of their spend,” Chitrang Shah, VP of Product, Lattice Engines said.

The latest release of the Lattice platform is simplifying the intent data available to marketing and sales for their campaigns, which improves the way campaigns are created and executed. Some of the enhancements include:

  • Create hyper-targeted segments
    • Buyer actions – Track buyer activities across thousands of websites to determine the level of buyer interest or intent
    • Business momentum detection – track revenue and sales trends that assess whether or not a business is growing
    • Spend capacity – determine the amount of money budgeted by a company for capital and operating expenses based on past purchases
    • Ad targeting – Lattice now offers 21,000 attributes that help companies target individuals via personalized ads
    • The Lattice platform aggregates, standardizes and normalizes data from your internal systems and makes that available for segmentation alongside the external data factors provided, such as intent
  • Operationalize across multiple channels
    • Launch multi-step marketing campaigns that envelop the target segment with the same message via multiple channels
    • Create tailored sales plays to be run against key segments
    • Curate specific talking points for reps to use with target audiences
    • Create audiences and launch targeted ads on any of 200+ different ad platforms
Malachi Threadgill
Malachi Threadgill

“After deploying Lattice we gained a complete view of our target accounts, and we’re now able to create specific messaging that speaks to the pain points we can help solve for companies, or ways we integrate well into their established tech stack. We run multichannel campaigns to engage with these target accounts using Lattice to identify who to target and what to say.  We are seeing a 5x higher clickthrough rate, 2x higher opportunities created and 30% higher opportunity revenue as a result,” Malachi Threadgill, Director of Demand Generation at Masergy said.

Kerry Cunningham
Kerry Cunningham

“We’ve recently begun encouraging teams to focus on demand units, rather than leads, because it aligns marketing, sales and product against the same goals, thereby improving the bottom line of a business. The key to aligning these three teams depends heavily on having access to both internal and external data that provides a complete view of that demand unit, so all activities are coordinated and cohesive,” Kerry Cunningham, Sr.Research Director and Team Leader, Demand Creation Strategies, SiriusDecisions said.

Lattice’s orchestration capabilities are currently in beta, and will be launched more broadly in 1H 2018.

Spotzer To Transform Service Experience For Global Customer Base With NewVoiceMedia

0
spotzer

NewVoiceMedia’s Cloud Contact Centre Technology Integrates Seamlessly With Spotzer’s CRM Platform To Ensure All Customer Interactions Are Tracked And Service Levels Measured

NewVoiceMedia, a leading provider of cloud contact centre and inside sales technology that enables businesses to have more successful conversations, is helping Spotzer enhance its contact centre operations and global customer service experience with its ContactWorld platform.

Spotzer is a white-label provider of bespoke digital marketing solutions for large enterprise customers who service small businesses, and has sales and service teams across four continents. The company selected NewVoiceMedia’s ContactWorld for Service solution for its reliability, ease-of-use, insight into outbound calls through detailed analytics, and the strength of its global platform, including new call routing architecture which optimises contact centre management and operations, while ensuring the highest quality customer experience across the world. NewVoiceMedia’s cloud contact centre technology also integrates seamlessly with Spotzer’s CRM platform to ensure all customer interactions are tracked and service levels measured.

With ContactWorld’s click-to-dial feature, Spotzer’s consultants are now able to make thousands of outbound calls annually to clients without having to spend time searching for and manually dialing each number. Inbound calls can also be intelligently managed and routed, ensuring callers are connected directly to their account manager – improving handling time and customer satisfaction. Consultants also benefit from immediate access to a customer’s entire history of interactions and calls.

Furthermore, advisors can log into the same system wherever they are, as all they need is a phone and internet connection, meaning they can work from multiple locations. The platform offers a real-time window into the entire contact centre operation, so advisors can be easily managed, and customisable, rich reports allow the company to understand where improvement opportunities exist.

Peter Urmson, CEO, Spotzer said, “As a global leader in digital marketing solutions for businesses who need to solve problems for their SMB customers, it’s essential for us to provide the highest quality customer service experience. We were excited to hear that NewVoiceMedia maintains the highest level of integration with our CRM platform in the industry and that ContactWorld could be easily integrated with our existing systems. We now have flexible, reliable technology with real-time insights into our entire business, meaning we can provide the best possible customer service experience to our global customer base”.

Dennis Fois, President and Chief Operating Officer NewVoiceMedia, adds, “We’re extremely pleased to be working with Spotzer and look forward to seeing the company transform its customer experience and business efficiencies with ContactWorld. With a true cloud environment, we’ve not only provided the company with a reliable and feature-rich contact centre solution, but our technology is completely flexible and scalable and will continue to support the business throughout its future rapid international growth”.

A Window on What You’re Buying: VR for Marketing Spaces

0
VR
A Window on What You’re Buying: VR for Marketing Spaces

Yulio One of VR’s most unique features is its ability to allow people to experience something which is either a long way from them, or too complex or expensive to easily replicate in real life. With that in mind, nowhere does VR shine more than in the communication of spaces.

Unlike viewing locations on an image, a website or a TV screen, the immersive nature of VR means that places can be ‘experienced’ versus simply being ‘seen’. Not only does this mean each fine detail can be communicated successfully to a prospective client but, virtual experiences also trigger responses from different parts of the brain – those which control higher-level thinking, emotion, motivation and primitive instincts – and these are especially relevant for marketers looking to provoke visceral responses to whatever they’re selling.

Placing People Directly in the Action

The potential of VR to be a proxy for real travel is something many consumers are excited about. For many people, one of the most compelling uses of VR remains, allowing them to see the world and experience locations and environments they would never otherwise have access to. For anyone with limited resources, mobility issues, or crippling fears of flying, VR is able to unlock a world of vivid and educational experiences from the farthest reaches of the earth.

Apps such as YouVisit VR allow users to experience exotic locations across the globe in immersive virtual reality, while Discovery VR from Discovery Networks offers users the chance to virtually swim with sharks, surf majestic reefs or get close to endangered animals.

Within professional sports, the use of VR marketing to bring viewers closer to the action is seeing significant growth. This year, soccer’s Champions League Final was made accessible to viewers via VR allowing them to watch the game all-but live from various enviable pitchside locations.

Fox Sports also announced earlier in the year that it would be showing Super Bowl highlights in near-real time via VR allowing sports fans to view replays of the best moments of the game from numerous different angles right after they happened on the field.

The experiential possibilities that are being successfully showcased in travel and sports have real applications for business. VR marketing for spaces can be used to take people to places for the sheer experience of being there but it can also help people to make more informed buying decisions and expand the reach for potential customers.

Virtual Real Estate

There is immense power in allowing new home buyers to experience unbuilt properties and full developments as if they were real or alternatively, to tour remote properties using just a headset. For those in real estate, VR marketing allows for listed properties to be experienced by prospective clients from anywhere in the world. In the case of Sotheby’s LA, prime properties are being viewed by those that want to tour multiple houses without spending multiple hours in gridlocked Los Angeles traffic. Agents of high-end international properties are also able to expand their potential client base to buyers from across the globe versus those that happen to be in their office catchment area.

Beyond those looking to buy, for people looking to engage in long or short-term rentals, being able to tour numerous properties simply by putting on a headset can dramatically change the experience. This is both for renters who can get a sense of how each property feels when inside it and owners who can pre-qualify interest before having renters visit in person. This can be particularly effective for properties listed on short-term rental sites such as Airbnb which experience high numbers of visitors. Via VR, travelers can experience every detail of a property before they commit to renting and owners can aggregate the cost of capturing the 360-degree footage over marketing to numerous potential customers.

Showing Off the View with VR Marketing

Beyond the world of real estate there are an increasing number of smart ways VR marketing is being used to transport people to locations and environments to experience them in context and enable them to make more informed decisions on expensive purchases.

Various sports teams have introduced virtual reality experiences that place fans in prospective season ticket seats at venues and take in very specific vantage points. The Sacramento Kings allow fans to experience the view from courtside seats via VR before buying and, at approximately $2000 per game per seat, in the words of Kings’ president Chris Granger, “It gives people a great sense of comfort as to what they can expect. It makes the investment safe and easy for fans.” The same logic can be applied to corporate boxes, premium lounge access at airports and much more. B2B sponsorship dollars that have any element of luxury space, or offer an impressive experience for their end clients can be better sold with VR than with brochures and other images. It’s true try before-you-buy marketing.

Small Business VR Marketing

But you don’t have to have a stadium or be selling an elaborate Italian villa to take advantage of VR marketing for spaces. For those with any kind of business that involves enticing people to see inside a space, VR marketing can deliver.

Venue businesses, like resorts or hotels, but also manufacturers of wedding tents and event rentals are dealing with clients very eager to understand not just the physical space they are buying, but the feeling it can evoke. They can tell their stories more easily and more immersively in VR than any other visual medium.

Other potential wins are tradeshow and event marketers, who can show off the show floor in VR, and potentially upsell booth space. Or tour operators showing off places of interest and accommodations.

While virtual viewings cannot fully replicate standing in the real thing, there’s no doubt that the ability to immerse people directly inside any space, experience or environment using virtual reality has handed marketers an entirely new toolkit to get creative with.

Whether locations are showcased using VR to demonstrate their most unique and compelling qualities for potential customers or environments being broadcast in VR are the experience themselves, there’s no doubt that the technology is set to play an ever growing role in how we view and evaluate the spaces in which we choose to live, work and play.

Infusionsoft Launches New Landing Pages to Help Small Businesses Attract and Convert More Leads

0
infusionsoft

New Feature Enables Users To Publish Beautifully Designed, Mobile-responsive Pages That Convert In Minutes

Infusionsoft announced the launch of its New Landing Pages enabling users to publish beautifully designed, mobile responsive pages that convert in minutes. The new product includes a drag and drop builder, pre-designed templates, and competitive page load speeds.

Rupesh Shah
Rupesh Shah

“We recently surveyed 3,500 customers and 90 percent said landing pages play an important role in their small business. However, most small businesses don’t have the time or resources to code and design professional-looking landing pages. With our New Landing Pages, small businesses can now publish beautiful, modern-looking pages that convert, with effortless customization and extremely fast page loads, ensuring visitors will have an engaging customer experience on any device,” Rupesh Shah, Vice President of Product, Infusionsoft said.

New Landing Pages Key Features and Benefits:

High-converting landing page templates relevant to any business: Users have access to a variety of high converting landing page templates specific to their industries, giving them best practices and inspiration for their own pages.

Effortless customization with drag and drop builder: Building landing pages couldn’t be easier with a drag and drop builder. Adding content blocks, adjusting the layouts, and changing features is as simple as point and click. Users can create and launch a page in minutes, not hours.

Access to royalty free images: Users have access to thousands of royalty-free images to add visual appeal. They can now spend less time looking for quality images on stock photography sites and instead pick an image from a wide selection of free stock photography available right in the builder.

Page loads are Google fast: It’s proven that faster loading pages convert better. Users can make the most of every lead with the industry’s fastest loading times, ranking 99 on Google’s page speed insights.

Engaging user experiences on any device – anytime: 70% of mobile searches lead to action on websites within one hour, which is why the New Landing Pages automatically convert to mobile or desktop-friendly views. Users can cash in on the action with mobile responsive landing pages, so when their customers arrive, they stay and take action.

Increase traffic with improved SEO: Responsive pages perform better in search engine rankings, so users will also be able to increase traffic with improved SEO.

No more paying extra for other tools: Users can stop paying extra for third-party tools because Landing Pages is included at no extra cost in their Infusionsoft subscription.

What Infusionsoft customers had to say about the New Landing Pages:

“I love the new Landing Page tool in Infusionsoft! There’s a good template base and it’s so easy to customize in just a few minutes of your time. I also love how you can publish it online directly from Infusionsoft to your social media and has a simple code to enter on a web page to add it to your website!” Cheryl Thacker, Successful Coaches.

“It’s very easy to customize these landing pages and make them look cohesive with the rest of my client’s branding,” Lisa Schulteis, ElectraLime Marketing.

“Landing Page upgrade has brought more creative use for us of our Infusionsoft account.  Building landing pages just take minutes now and the fact that we can save them as our own template is off the hook!” Wayne Law, InBiznez.

[24]7 Changes Company Name to [24]7.ai to Reflect Leadership in Artificial Intelligence

0
[24]7.ai

Using [24]7.ai Solutions, Large Companies are Attracting and Retaining Customers through Personalized, Predictive and Effortless Customer Experiences

[24]7, a global leader in intent-driven customer experience solutions, has changed the company name to [24]7.ai to better reflect its leadership in leveraging artificial intelligence to dramatically improve customer experience. [24]7.ai empowers companies to understand, anticipate and act on consumer intent, leading to better experiences, greater brand loyalty and increased revenue opportunities.

Businesses worldwide possess tremendous amounts of customer data that exist in silos throughout the enterprise, which makes it difficult to analyze and put to use. [24]7.ai uses artificial intelligence to process large amounts of consumer data in order to determine consumer intent, which can then be applied to every aspect of customer experience, from acquisition to engagement. [24]7.ai has more than 120 patents granted and pending related to its proprietary approach to understanding, predicting and acting on consumer intent across channels, and patented intent models are applied to every product and solution that [24]7.ai offers.

[24]7 AIVA, the company’s industry-leading AI-powered virtual agent, works across both voice and digital channels and provides consumers with the same great experience whether they are calling on the phone or interacting digitally. AIVA can hand off to a live agent prepared to immediately help the consumer and augmented with the same artificial intelligence technology. This creates a virtuous cycle, with those same agents helping to refine AI models over time, and making AIVA increasingly effective. Using [24]7 AIVA, large companies are scaling and automating digital interactions and taking IVR to the next level with AI-powered technology that understands what customers mean—not just what they say.

PV Kannan“Our new company name reflects the deep investment we’ve made in artificial intelligence over the last decade. AI is a game-changer when it comes to customer experience, because only AI can make sense of the tremendous amount of big data that companies possess. We are helping our clients turn big data into actionable intent, boosting customer satisfaction and delivering a superior customer experience,”  PV Kannan, CEO, [24]7.ai said.

Using artificial intelligence and machine learning to understand consumer intent, the company’s technology helps companies create a personalized, predictive and effortless customer experience across all channels. The world’s largest and most recognizable brands are using intent-driven engagement from [24]7.ai to assist several hundred million visitors annually, through more than 1.5 billion conversations, most of which are automated. The result is an order of magnitude improvement in digital adoption, customer satisfaction, and revenue growth.

Marketo Names Chief Marketing Officer and Chief Customer Officer

0
Marketo Names Chief Marketing Officer and Chief Customer Officer
Marketo Names Chief Marketing Officer and Chief Customer Officer

Sarah Kennedy Joins As CMO; Matthew Zilli Promoted To CCO

Marketo, Inc, the leading provider of engagement marketing software and solutions, announced that it has hired Sarah Kennedy as its Chief Marketing Officer (CMO). In addition, it has promoted Matthew Zilli to the role of Chief Customer Officer (CCO). Both will sit on Marketo’s executive team, reporting into Chief Executive Officer Steve Lucas.

Sarah Kennedy
Sarah Kennedy

“I am thrilled to welcome Sarah as Marketo’s new CMO. We undertook an exhaustive search to make sure we found the right person to lead our world-class marketing team, which so many thousands of marketers look to for best practices and exceptional thought leadership. Sarah stood out as the individual that will help take the organization to new heights as we leverage the Marketo Engagement Platform to best serve our customers and inspire the Marketing Nation,” said Lucas.

Kennedy brings nearly 15 years of technology marketing expertise to Marketo, including her most recent role as vice president, Global Marketing, and managing director, Digital Experience, at Sabre Corporation. In her position, she served as the head of Sabre’s in-house interactive agency and as CMO of Hospitality Solutions, the company’s fastest-growing business unit, leading global go-to-market strategy, communications, investor relations, demand generation, creative, events, and product, field, and content marketing. Over the course of three years, Kennedy nearly quadrupled the marketing team’s return on investment and drove double-digit revenue growth. She joined Sabre in 2007, holding numerous roles across product marketing and communications, as well as overseeing innovation, research, and development for Sabre Labs. Kennedy is a globally recognized thought leader on emerging technology, loyalty, and customer experience.

“I am excited to join Marketo to champion its excellence in marketing both as an organization and on behalf of its thousands of global customers. I look forward to fueling Marketo’s explosive growth in the enterprise through close partnership between sales and marketing, unparalleled thought leadership, and a commitment to lead in the Engagement Economy,” said Kennedy.

Matthew Zilli
Matthew Zilli

Zilli has been with Marketo for more than four years, most recently serving as interim CMO and group vice president of Product and Solution Marketing. Under Zilli, the marketing team launched numerous updates and enhancements to the Marketo Engagement Platform, including ContentAI, the company’s artificial intelligence-driven predictive content solution. As CCO, Zilli will oversee Customer Success and Global Enablement, leveraging his in-depth knowledge of the Marketo product and customer base to create value for customers. Before joining the company in 2013, Matt helped launch LineStream Technologies as the vice president of Marketing. Previously, he spent time at Texas Instruments and Rovi corporation, where he held positions in sales, marketing, business development, and product management.

“Matt has guided Marketo’s marketing team during a time of change and growth, and his leadership has been truly indispensable. I am so pleased to have him join my executive team permanently as our CCO. As a dedicated advocate for the Marketing Nation, Matt will create a whole new focus on Marketo’s most important asset, our customers,” said Lucas.

Recently, Marketo was once again named a leader in the 2017 Gartner Magic Quadrant for CRM Lead Management report.

Amperity Closes $28 Million Series B Round of Financing Led by Tiger Global

0
amperity

Additional Funding Will Help The Company Accelerate Product Development And Go-To-Market Efforts

Amperity, the world’s only Intelligent Customer Data Platform, announced that it has closed a $28 million Series B financing led by Tiger Global Management LLC with participation from existing investor Madrona Venture Group.

Amperity’s Intelligent CDP is the foundational layer that enables global consumer brands to use complete customer data to power all their data-driven experiences. Amperity was founded in 2016, and launched commercially in September 2017 with a customer base that includes many of the world’s most loved consumer brands. The company plans to use the funds to accelerate its product development efforts, especially around key technology differentiators; to scale its go-to-market investments; and to enhance supporting capabilities for existing customers.

Amperity is the Intelligent Customer Data Platform empowering global consumer brands to create unique and personalized experiences by unlocking all their customer data. Using machine learning and massive computing power, Amperity stitches together all of a brand’s disparate data sources, forms complete customer profiles, and makes those profiles available to marketers and analysts. This complete, actionable data can be used to power customer 360 initiatives, acquisition and retention marketing programs, and advanced customer analytics.

Tiger Global Management, LLC is an investment firm that deploys capital globally. The Firm’s fundamentally oriented investments focus primarily on the global Internet, software, financial technology and consumer sectors. The private equity strategy has a ten-year investment horizon and targets growth-oriented private companies. Such investments have included Spotify, Warby Parker, JD.com, Facebook, LinkedIn, Yandex, Mail.ru Group, Despegar, Flipkart, Harry’s and Peloton. The public equity efforts emphasize deep due diligence on individual companies and long-term secular themes. Tiger Global Management, LLC was founded in 2001 and is based in New York with affiliate offices in Hong KongSingaporeBangalore and Melbourne.

404