Workstream.io announces updated dbt cloud integration and new pricing to untrap data knowledge

October 19, 2023

Core knowledge about your data, such as information about how to use a particular dataset, or what data to trust, is still largely trapped inside data people’s brains and data systems, such as dbt projects. Until now, this information remained inaccessible to business users—leaving data people constantly answering annoying questions about data quality status and more. With Workstream.io’s updated dbt-integration, it’s easier than ever for data teams to effectively communicate data knowledge to business teams.

The update features two major improvements to our dbt cloud integration: the ability to expose data status pages for your critical data assets; and, the ability to leverage your dbt project to build business-facing documentation.

“Now when you connect your Workstream.io instance to your dbt project, core information about data outages, including failed tests and data freshness checks, become automatically communicated to users via data status pages, ” says Chris Ibarra, CTO of Workstream.io.

New Status pages are automatically created and updated for each data asset in your environment with a valid dbt exposure. This includes the current status of the asset, a graph of historical up/downtime in the last 30 days, as well as a list of any current or historical data incidents, including their status and core context.

This integration also provides an unlock to dbt-based knowledge about data via end-user documentation features. When leveraging any of the documentation features, including asset content overviews, you can pull in dynamic definitions of your dbt nodes.

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“These new integration points allow us to expose critical knowledge to our business teams and partners via dbt-powered documentation and automates workflow around data incidents and quality via data status pages,” says Workstream.io customer Dan Antonson, Director of Marketing & Analytics Technology at Collegis Education.

This is a meaningful departure from manually building documentation in an intranet, or manually tracking data incidents in spreadsheets—and then having transactional conversations to convey temporal trust.

With this update, your investments in dbt are transformed into available data knowledge that can be easily accessed and understood by everyone in your organization.

“In our continued commitment to improve upon your investments, we acknowledge that nobody wants to buy software right now. We’ve heard feedback, and in addition to the new dbt-integration features, we’re also announcing a new pricing structure that offers a low-commitment and fast way to get started,” says Nick Freund, CEO of Workstream.io.

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How to Boost Marketing Engagement Using Behavioral Triggers – What Tools Help

MTS Staff Writer

October 19, 2023

You can effectively increase marketing engagement by using behavioral science triggers to develop messages that prompt your audience’s decision-making shortcuts and enhance the likelihood of their engagement and response.

There is no need to spend a significant amount of money to improve the efficacy of your marketing communications, if it already works well. Instead you can leverage your existing marketing technology and incorporate the principles from behavioral science to improve your messaging promots and help in achieving better outcomes without incurring any additional costs.

It is simply necessary to have a capable marketing martech stack that consists of several tools and software for controlling and enhancing the marketing operations. Therefore, combining these tools with best practices that are specific to your chosen marketing channel, such as social media, content marketing, email, etc., helps in providing the groundwork for increasing engagement and evoking reactions from your audience.

The key insights here is the incorporation of behavioral science into the messaging strategy. Behavioral science consists of the understanding of how decisions are made by the people and how they respond to stimuli. By applying behavioral science principles to your messaging, it becomes easier to align the content appropriately with the physiological tendencies and preferences of the audience. This is a cost effective approach that helps in delivering immediate results.

Hence, these messages encourage the marketers to leverage their existing tools and knowledge by integrating insights from behavioural science and that helps them to enhance their messaging strategies. By doing this, they can optimize the efficacy of their marketing campaigns and that too without the need of additional financial investments.

Let’s understand what are behavioural triggers and how these are useful for planning out marketing strategies. Let us also understand how to use behavioral triggers in a marketing campaign and outline the tools that can help in the process.

What Are Behavioral Triggers?

Triggers, also known as events, encompass all user interactions with your mobile app, website, and promotional efforts. For instance, when a user clicks on your website, it constitutes an event. Understanding and utilizing triggers is crucial for various reasons.

Enhancing the relevance and timing of campaigns
Streamlining revenue generation efforts
Enabling automated communication
Customizing campaigns for individual users
Boosting brand visibility and recognition
Driving sales and conversions

Additionally, triggers are essential for developing a thorough understanding of the buyer persona, improving current triggering events, eliminating duplication, and enhancing the value of customer relationship management (CRM). Behavioural triggers are an example of one of the four categories of triggers—event-based, behavioural, engagement-based, and business-based—and include acts like making a purchase, signing up for a newsletter, allowing push notifications, and interacting on WhatsApp, among others.

Definition of Behavioral Triggers

The usage of behavioural triggers, sometimes referred to as automated responses to user activities, is crucial for the success of marketing campaigns. For instance, a behavioural trigger is started when a user interacts with a website by clicking on a prominent call-to-action, such as “Schedule A Demo.”

The system then replies by sending an email outlining the subsequent steps in the procedure. The automation of behavioural triggers is one of their main benefits. By automating the process, important time and resources that would have been used to manually send communications to consumers are now freed up. This automated method is especially useful for certain triggers that commonly happen after consumers respond to a Call to Action (CTA). Notifications of successful payments and nudges to finish a cart transaction are notable examples.

A thorough understanding of user behaviour is a crucial foundation for a successful marketing automation plan. This comprehension begins with user identification and moves on to determining their behavioural triggers. It is crucial for a business to take into account how users will interpret the communications they receive while developing personalised use cases.

Targeting consumers who show initial interest in the good or service being given is easy with the help of behavioural triggers. This specialised strategy is far more effective than disseminating marketing efforts to a larger, less focused audience. It results in time, money, and resource savings.

Think about a situation where you want to send emails to people who have made certain decisions or shown interest in a certain good or service. This strategy fits in perfectly with using behavioural triggers in marketing initiatives. Users who have visited a product landing page, for instance, may receive an email that reminds them of the advantages and benefits of the product.

Additionally, consumers who have previously opened an email may be reminded to finish a purchase by using behavioural triggers. Additionally, individuals who have previously clicked on an email can be persuaded with a service discount. A Call to Action (CTA) can be used to target people with time-sensitive discount deals. Additionally, a similar strategy of providing time-limited discount offers can be used for users who have abandoned their cart. After users have made a purchase, chances for upselling or cross-selling can be investigated.

When it comes to sending the right people precisely timed messages, behavioural triggers show to be incredibly effective. Workflows can be configured to initiate different activities in response to particular behaviours with the help of marketing automation software. The marketing campaign is streamlined by this automation, which also makes sure that each component is carried out at the right time based on user behaviour.

The cornerstone of marketing automation, behaviours provide simplicity of usage and great outcomes. Marketers may unleash the full power of their campaigns by using behavioural triggers. In the sections that follow, we’ll go into more detail about behavioural triggers and provide tips on how to use them—beginning with the basics—for an effective marketing campaign.

What is a marketing campaign?

A marketing campaign consists of a series of planned outreach encounters with the intention of accomplishing a particular goal. These initiatives are frequently designed to persuade potential clients to make a purchase. However, among other things, they can also be used to provide present customers with resources that increase their pleasure.

A comprehensive marketing campaign can be created and launched using marketing automation, and it can then be operated with little to no human involvement. This technology enables smooth execution, allowing the campaign to function independently. To learn more about the implementation and success of marketing initiatives, look into more information about them.

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How to use behavioral triggers in a marketing campaign

We will go on an example journey through a fictitious lead nurturing campaign in order to clarify the use of behavioural triggers inside a marketing campaign. This commercial is a perfect illustration of how behavioural triggers work in practise.

A lead nurturing campaign’s main purpose is to move prospective leads along the sales funnel in order to move them closer to conversion. This is accomplished by carefully planning a series of touchpoints that introduce leads to your brand and product through a story that develops over time. The main goal is to inspire leads with confidence and trust while gradually increasing their interest in your brand and goods, leading to a readiness for the sales pitch.

The following describes how a lead nurturing campaign using behavioural triggers is carried out:

1. Establishing Touchpoints:

The first phase entails creating a planned outreach plan that unfolds a cogent story over time. Emails, SMS text messaging, and other marketing strategies can be smoothly incorporated into the campaign. A thorough grasp of which behavioural triggers should be activated and precisely when, depending on certain user behaviours, is gained by planning and premeditating these touchpoints.

2. Educational Content Email:

Start the campaign with an email that provides relevant, instructional facts about your sector. This may come in the form of an eBook that is purposefully free of overt product promotion. The main goal is to establish trust, establishing your brand as an authority in the industry.

3. Subsequent Educational Content Email:

Send out a second email with more educational content after the original outreach, possibly in the form of a blog post. By strengthening the already-existing trust, this step helps the lead continue to see your brand as an authority figure.

Reminder: It’s a good idea to keep some backup emails with instructive material handy. Leads that show little interest in the initial correspondence can receive these. Once engagement has begun, a trigger can be used to move the recipient to the next email in the sequence.

4. Case Study Email:

Include a case study in your email demonstrating how a different company profited significantly from utilising your solution. With the use of this narrative strategy, you can help leads see themselves taking advantage of your offer in a similar situation.

5. Reminder:

It’s best to have two versions of these emails ready. Even though they might not be needed right away, keeping them on hand guarantees readiness in case a need occurs.

6. Demo Video Email:

Incorporate a link to a little demo video within an email to allow leads to see your product in action.

7. New Customer deal Email:

Send out an email announcing a one-time, special deal to draw in new clients.

8. Consultation Invitation Email:

Finish the campaign with an email inviting the lead to a personalized consultation to go through their individual issues and how your product might be able to help.

A clear call-to-action (CTA) should be included in every touchpoint to provide leads a concrete opportunity to interact with your business and move them closer to the desired conversion.

In essence, this fictitious lead nurturing campaign shows how behavioural triggers may be strategically incorporated to guide potential leads down a carefully planned trajectory towards conversion while simultaneously fostering trust and interest in your company and its offerings. Using this methodical approach, behavioural triggers are crucial in putting together a seamless and successful marketing strategy.

Determining which behavior is triggered in the marketing workflow:

As a behavioural trigger that awards points to leads for particular behaviours they perform, lead scoring is a crucial mechanism in the world of marketing automation. These can include things like downloading content or opening emails. This score method is essential for determining a lead’s level of involvement and, ultimately, if they are prepared for a sales contact.

The lead scoring process is made simple and effective by incorporating a behavioural trigger into your marketing workflow, which causes the system to automatically assign points for each designated activity.

It may be necessary in some circumstances to alter the order of touchpoints in response to lead behaviour. For instance, prompt engagement with the demo video email in a series of emails sent at week-long intervals indicates a high level of sales readiness. This forces the use of a behavioural trigger, which quickly removes them from the running campaign. Additionally, a rapid notice is sent to the sales staff, ensuring prompt personal outreach to take advantage of this prospective opportunity.

When a recipient marks an email as spam, another situation can happen. In this situation, it is clear that the lead in question is not a feasible proposition. By quickly removing them from the campaign using a behavioural trigger, resources can be saved and attention can be put on leads with real potential.

Any marketing plan must prioritize effectively handling disengagement situations. It would be ideal if leads responded to your emails as you had expected, but this isn’t always the case. For instance, some leads can continue to be unresponsive despite receiving two informational, non-salesy emails. It is wise to keep distributing instructional materials in such circumstances.

By deploying a behavioural trigger and automating the process, this can be made easier. The system moves a lead on to the next email in the series if they interact with the material in the first email. On the other hand, if no engagement takes place, the system keeps sending weekly educational emails out until a click-through is noted.

Effective lead nurturing depends on using engagement. An excellent chance for additional engagement arises when a lead demonstrates active interest by choosing to click on instructive content like a blog post or an eBook. You can follow up on this engagement right away by using a behavioural trigger. For instance, if a lead views your blog, the system may send them an email the next day to express appreciation for their interest and to encourage them to subscribe. Similarly, if they download an eBook, an automatic email might thank them and provide more pertinent information.

To avoid potential losses, it is also critical to alert the sales team when a lead reaches marketing qualification status. Leads that meet the marketing qualifying level should be quickly forwarded to the sales department after lead scoring. In this situation, behavioural triggers are crucial. When a lead passes this threshold, certain triggers are set up to alert sales automatically. The sales team will be able to quickly establish contact and take advantage of the lead’s increased level of interest and engagement thanks to this timely communication.

A crucial phase in the lead nurturing process can also be arranging a live demo. A strong propensity to buy is demonstrated when a lead exhibits interest in watching a demo video. A live demonstration offers the chance for interactive investigation, whereas a recorded demonstration only gives a brief overview. To make this easier, a trigger can be set up to send an email extending an invitation to book a live demo automatically the next day. You might thank them for their interest and include a link to a simple scheduling page in this email.

Tools for Harnessing the Power of Behavioral Triggers in Marketing

In today’s digital age, understanding and leveraging the user behaviour is critical for marketing effectively. Behavioural triggers are actions that prompt a specific response which is based on user behaviour. These indispensable tools for marketers are useful for engaging the audience.

Let us explore these key tools and platforms that help in implementing behavioural triggers triumphantly in your marketing strategy. Let’s delve into the functionalities and benefits of each tool.

1. Customer Relationship Management (CRM) Software

Customer Relationship Management (CRM software) is the foundation of any successful behavioral trigger based marketing strategy. Platforms like Hubspot, Zoho CRm and Salesforce work like centralized hubs that are used for collecting, organizing and analysing the customer data. These software are essential for implementing behavioral triggers in following ways:

Data Centralization: CRM systems allow you to gather customer data from different touchpoints which includes website interactions, email campaigns, social media engagement and more. The centralized data repository helps in getting a 360 degree view of every customer.

Behavioral Insights: CRM platforms offer robust analytics and reporting features that help you gain a deep understanding of customer behaviour and you can track their interactions, purchase history, preferences and other engagement patterns.

Segmentation: CRM software helps in creating highly targeted customer segments which help you in categorizing your audience depending on their behaviour, demographics, locations and various other parameters.

Personalization: With a CRM software you can personalize your marketing efforts by customizing messages and offers as per the specific segments and it boosts engagement and drives the conversions.

Automated Workflows: Most of the CRM systems include automation features that help in setting up behaviour triggered workflows. For example, if a customer abandons their cart on your e-commerce website of e commerce then CRM will automatically send a follow up email with the abandoned items.

2. Marketing Automation Platforms

Using platforms for marketing automation like Marketo, Pardot, and Mailchimp will ensure that behavior-based triggers are carried out without any issues. The products’ extensive feature set enables you to carry out your marketing tasks more successfully.

Behavioral Triggers: Platforms for marketing automation make it easier to design automated workflows that are started by particular user behaviors. You could, for instance, send customized follow-up emails to subscribers who opened a specific email but didn’t buy anything.

Lead nurturing: These platforms enable more effective lead nurturing by tracking user activity. You can present appropriate deals and material at the ideal point in a prospect’s trip.

Multi-Channel Integration: Marketing automation solutions enable the coordination of behavior-triggered campaigns across a variety of channels, such as email, social media, SMS, and the web.

A/B testing: In marketing, experimentation is essential. Many platforms allow for A/B testing, which may be used to improve behavior-triggered campaigns and achieve the best outcomes.

Scalability: Marketing automation tools can grow with your company as it expands. They maintain performance while handling an expanding volume of data and interactions.

3. Analytics Tools

Data-driven decision-making is essential for the application of behavioral triggers. Analytics solutions, like Google Analytics and comparable systems, give you the information you need to comprehend how users interact with your website:

User tracking: Analytics programs follow users as they browse your website, logging their interactions, page visits, and time spent on each page.

Conversion Funnels: With the help of these tools, you can build and track conversion funnels, allowing you to spot drop-off areas and enhance user experience.

Behavioral Insights: One can get valuable behavioral insights by studying user journeys. You can utilize this information to determine which triggers work best for enticing users.

Custom Event Tracking: Analytics tools allow you to design and track a variety of unique events. For instance, you may keep track of when consumers fill out forms, watch product demos, or watch videos.

Data visualization: A number of analytics platforms provide data visualization elements that make it simpler to understand intricate user behavior patterns.

4. Email Marketing Software:

Email marketing is still a potent tool for attracting customers with triggers based on their activity. The following advantages are provided by email marketing software like SendGrid, Constant Contact, and Campaign Monitor:

Behaviour Triggered Emails: Email marketing solutions give you the ability to construct behavior-triggered email campaigns. For subscribers who haven’t opened your emails in a while, for example, you can set up automated emails.

Personalization: You can customize the content of emails by using behavioral data. Based on user behavior, you can modify message content, subject lines, and product recommendations.

Segmentation: Email marketing software enables you to divide up your email list into several groups based on user behavior. Consistently, segmented emails perform better than non-segmented ones.

A/B Testing: A/B testing can help you improve email marketing for engagement and conversions by comparing several email variations based on user behavior.

Reporting and Analysis: You may evaluate the success of behavior-triggered campaigns by using these platforms’ extensive statistics on email performance.

5. Ad Retargeting Platforms

Ad retargeting solutions like AdRoll, Criteo, and Google advertising provide highly targeted advertising. Here is how they function:

Behavioral Tracking: Retargeting platforms monitor user behavior on your website through behavioral tracking. They keep track of the items customers examine, add to their carts, and abandon.

Dynamic advertising: These platforms produce dynamic advertising based on user activity that show the precise goods or content that consumers have interacted with.

Cross-Channel Retargeting: Retargeting campaigns can be run on a variety of digital channels, such as social media, display advertising, and search engines.

Frequency Control: To ensure a balanced and unobtrusive experience, you may establish frequency limitations to control how frequently consumers view your retargeting adverts.

Conversion Tracking: Conversion tracking is a feature that many retargeting platforms provide, enabling you to assess the influence of your campaigns on user behavior and conversion rates.

6. Engines for Personalization

Personalization technologies like Dynamic Yield and Evergage are committed to giving users personalized experiences in real-time:

Behavioral Tracking: These tools track user activity in real time, gathering information on their preferences, interactions, and previous deeds.

Real-time content personalization: Personalization engines automatically modify website content, product recommendations, and offers for each user based on behavioral data.

A/B Testing: You can use A/B testing to assess the effectiveness of personalization tactics and determine how they affect user behavior.

Recommendations: Personalization platforms frequently contain engines for product, article, or content recommendations based on user behavior.

Machine learning: To forecast user preferences and enhance content delivery, certain personalization engines use machine learning techniques.

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Final Words:

Behavioral Triggers are invaluable tools that help in enhancing marketing engagement and driving conversions. To harness the full potential, Businesses must invest in the right set of tools and platforms. CRM software, marketing automation platforms, and more help in forming a robust toolkit for behavior based marketing.

Above mentioned examples are useful for understanding how to use behavioural triggers in a marketing campaign to automate tasks and speed up lead progression. In reality, one can set up behavioural triggers for just about any desired action by utilising the workflow builder of their marketing automation application.

Triggers provide for the smooth integration of SMS messaging and other channels for those managing multichannel marketing campaigns. In the end, a campaign driven by behavioural triggers outperforms a static counterpart by a significant margin. Such trigger-driven campaigns guarantee exact delivery of essential information and messages to the appropriate audience, at the right time.

Moreover, Using Behavioural tools allow you to make personalized, timely, and relevant experiences for your target audience by leveraging and understanding user behavior. Effective behavioral trigger implementation can not only increase engagement but also help you build long-lasting client relationships, which will help your marketing efforts succeed in today’s cutthroat marketplace.

MarTech Interview with Christian Ferri, Co-Founder and CEO of Web3 Pro

Paroma Sen

October 19, 2023

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How are web 3.0 fundamentals reshaping digital marketing? Christian Ferri, Co-Founder and CEO of Web3 Pro comments:

_________

We’d love to hear about Web3 Pro and how it enables digital engagement?

Web3 Pro is a Palo Alto-based MarTech company that is breaking ground on community marketing strategies rooted in privacy and authenticity to better connect brands with ad-skeptical audiences. Web 3.0 Pro achieves this by offering enterprise-grade, white-label community engagement solutions for globally renowned brands like Lamborghini and Ducati.

Web3 Pro’s approach to digital engagement is centered around building and nurturing communities of customers and enthusiasts. By creating dedicated spaces for brands and their audiences, Web3 Pro facilitates more meaningful interactions and fosters a sense of belonging, trust, and loyalty.

Tell us bout your recent launch of ‘The Hub’ and how it benefits end users?

The Hub’s solution is the only white-label, enterprise-grade community engagement platform using the power of blockchain to jumpstart community marketing strategies. Blockchain technology ensures that user data is securely stored and managed, reducing privacy concerns and aligning with data protection laws like GDPR. This transparency and security contribute to building customer trust.

Web 2.0-based digital marketing on social media channels is proving to be insufficient. Platforms like the Hub enable brands to create their unique spaces and own their communities. By shifting the focus from external third-party algorithms to internal social graphs, companies can gain deeper insights into their audience’s use cases, preferences, and pain points. Brands are empowered by gaining control over their interactions with customers.

Web3 Pro’s mission is to empower marketing executives to harness the new era of community marketing. Its vision is to see this type of marketing provide a better experience for both brands and their customers.

How are web 3 fundamentals changing the game for brands and marketers today?

Web 3.0 fundamentals are revolutionizing the game for brands and marketers in numerous ways. Blockchain technology promotes decentralization and brands and marketers must navigate audience engagement without the use of intermediaries, such as social media platforms. Without intermediaries, brands are empowered to interact with their audience directly.

Additionally, Web 3.0 encourages the creation of digital assets. Brands can tokenize their assets to create digital merchandise and develop loyalty programs attached to these assets, giving customers ownership and stake in the brand’s ecosystem. The introduction of tokens enable brands to reward customers for engagement. Brand’s can incentivize participation and loyalty in their communities. Ownership of digital assets and their traceability on the blockchain will help reduce counterfeiting issues. Brands can verify the authenticity of their products, and customers can be reassured they are making a genuine purchase.

One of the most important fundamentals of web 3.0 is data privacy and security. Brands that utilize the power of blockchain can reassure customers of the security of their personal data and address concerns of misuse of customer data and security breaches. This not only enhances trust but also protects a brand’s reputation.

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What do you feel about the future of web 3?

The future of web 3.0 holds immense promise and will continue to evolve various industries, including marketing and branding. Web 3.0 has already gained a foothold as NFT’s and tokenization are continually adopted by globally renowned brands like Lamborghini, Ducati, and Starbuck’s to enhance their digital engagement strategies. As web 3.0 technologies continue to develop, we expect mass adoption in the near future as brands continue to adopt their platform onto blockchain technology.

Can you talk about the impact of AI on this segment?

AI has a significant impact on web 3.0 and digital marketing within this framework. AI-powered tools offer unique opportunities to improve content personalization, advance analytics, and automate functions like email marketing and content creation. The introduction of ChatGPT and other deep-learning tools has unlocked the capability to provide hyper-personalized content to users. This is achieved by AI algorithms which can analyze immense amounts of data and help brands tailor their messaging and personalize their experiences for their users. Marketers can utilize AI to extract meaningful insights to optimize their strategies.

A few thoughts you’d share with our readers on how they can drive improved digital experiences in todays web 3 inspired marketplace?

In a web 3.0-inspired marketplace, digital experiences are enhanced by taking a community-centric approach. Web 3.0 enables brands to interact with their customers and with the introduction of tokenization give a sense of ownership to the community. The web 3.0 landscape thrives under brand experimentation and collaboration of web 3.0 principles. We encourage brands to cultivate synergies with other brands and users in the web 3.0 ecosystem to enhance the digital experiences of their customers and stay at the forefront of innovations in the industry.

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Web3 Pro Reviews | Read Customer Service Reviews of www.web3pro.com

Web3 Pro is the first white label Web3 B2B SaaS platform offering companies enterprise-grade applications for marketing, gaming and record authentication.

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Christian Ferri is Co-Founder and CEO of Web3 Pro

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Missed The Latest Episode of The SalesStar Podcast? Have a quick listen here!

Episode 185: Sales Improvements That Can Help B2B Teams Boost Growth with Jason Fitzgerald, SVP, Solution Network at OneStream Software

Episode 184: Al and Its Influence on Marketing: with Adri Gil Miner, CMO of Iterable

Episode 183: B2B Technology Sales Dynamics with Jason Smith, Senior Sales Engineer at CallTrackingMetrics

While ChatGPT Got the Headlines, Meta’s AI Took Q4 Pole Position

Bryan Karas

October 19, 2023

A tale of major marketing trends in two images:

The first is the sonic boom (and reverberations) of ChatGPT entering the public eye.

The second is Meta’s iOS 14-fueled bottoming-out in Q3 and Q4 2022 – and the recovery that came into sharp relief with July’s better-than-expected Q2 earnings call, which showed impressive year-over-year gains in revenue (11%) and ad impressions (34%).

What do ChatGPT’s splash and Meta’s recovery have in common? At the heart of each is AI – though Meta’s AI has been operating largely in the background while ChatGPT has sparked headlines and op-eds by the thousands. (Prior to that Q2 earnings call, Meta’s biggest 2023 headlines revolved around layoffs and Threads, a would-be alternative to X.)

ChatGPT and similar AI tools do indeed have many marketing uses – content, research, chatbots, creative, and light coding, to name a few – not to mention vast potential to do societal good and harm. Speaking strictly from a marketing perspective, though, what Meta’s investment in AI is doing for advertisers should have it squarely back in the spotlight by the time Q4 numbers roll in.

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Life after iOS 14

The blow in Facebook and Instagram conversion tracking inflicted by iOS 14, combined with privacy regulation and accelerating inflation that changed consumer spending behaviors, put Meta in uncharted territory in 2022 and early 2023, namely teetering revenue and mass layoffs. But well before iOS 14 debuted in 2021, Meta was investing in AI that was preparing for a world without cookie tracking or targeting based on personal data.

Today, Facebook’s Advantage+ shopping campaigns (powered by AI) are proving highly effective (and cost-effective) at finding valuable audiences for a range of objectives – including reach, which cookie-dependent, last-click-heavy advertisers have long undervalued. And Facebook’s Conversions API (CAPI) allows advertisers to bypass cookies altogether and collect information on web events from brand-side servers. Moreover, advertisers doubling down on efficiency and incrementality can take advantage of measurement studies like Performance Branding 3.0 to understand where their spend is creating the most impact. This is bringing a lot of advertising options back into scope, particularly for small Shopify businesses that struggled to spend effectively after iOS 14.

Google continues to kick the can down the road with cookie deprecation, now scheduled for 2024, even as GA4 directs advertisers toward an events-based world of measurement. Meta’s advertising suite, meanwhile, is all in on life after cookies. And it’s proving more adept by the day at finding, engaging, and converting users – and helping advertisers measure the value of its campaigns.

Impact beyond eCommerce

Q4 will be the ultimate proving ground for the effectiveness of Meta’s AI-powered products in eCommerce. Meanwhile, industries like lead gen and B2B are discovering significant improvements in lead quality and match rates thanks to Meta’s targeting advancements.

Pre-iOS 14, we rarely recommended Facebook as a viable platform outside of B2C and eCommerce, but that picture has changed for the better – especially for advertisers willing to spend to bring users into the funnel early in the purchase journey, even if they prefer to continue the conversation on higher-CPC platforms like LinkedIn.

What’s next

I expect that Meta’s ad revenue will follow its recent trajectory for Q3 and the all-important Q4 and that by late January, there will be all kinds of chatter about the company’s recovery. Meanwhile, competing platforms in the industry – notably, The Trade Desk – have invested in building similar AI-powered targeting capabilities that could soon change a longstanding narrative of shaky performance for programmatic advertising.

As for Threads, it – like ChatGPT – faded into the background a bit after some early buzz, so Mark Zuckerberg’s plans to roll out search and web functions are generating limited excitement. But I wouldn’t bet against Meta finding a way to use AI to enhance user experience and establish Threads as another layer in its advertising ecosystem – especially since they’ll likely have more runway to tinker as their bread-and-butter advertising revenue continues to improve. It’s a big if, but if Threads can eat into the X user base, Meta will have an ecosystem with strengths in connection (Facebook), trends and content creators (Instagram), and news and political discourse – and the ability to connect the dots of each interaction. That would be a walled garden with a whole lot of variety.

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Gainsight Report Finds Nearly Half of SaaS Companies Focused on Digital Customer Success To Drive Scale and Efficiency

MTS Staff Writer

October 19, 2023

Gainsight-Report-Finds-Nearly-Half-of-SaaS-Companies-Focused-on-Digital-Customer-Success-To-Drive-Scale-and-Efficiency

New Digital Strategies Are Helping Companies Improve Customer Experience, Product Adoption, and Customer Retention

Gainsight, the world’s leading Customer Success platform, today announced the results of a study on Customer Success trends. The big takeaway from the Customer Success Index (CS Index) North America 2023 report, created in partnership with Benchmarkit, a B2B SaaS research firm, is that almost half (48%) of the SaaS companies surveyed for the report have a formal Digital Customer Success program focused on adding more efficiency to their growth strategies.

Over the past decade, Customer Success has evolved from a standalone business unit focused on helping companies avoid churn and downsell to its role today as a key business strategy for driving more efficient revenue growth. Meanwhile, as SaaS companies strive to achieve these goals while reducing operating and headcount costs, Digital Customer Success, which blends human and digital touchpoints to support customers, has become more popular. According to the CS Index, Digital Customer Success is gaining ground in companies at both the lower ($1M-$10M) and higher ($100M+) end of the revenue spectrum.

The research was conducted earlier this year to benchmark Customer Success organizational structures, the presence of Digital Customer Success tools and strategies, and Key Performance Indicators (KPIs). More than 400 North American SaaS companies participated in the research across a wide range of company sizes, annual contract values, industry segments, and geographic locations. Respondents included every level of management, including C-level executives, SVPs, VPs, and Directors, both inside and outside a company’s Customer Success organization.

“While most companies in the current market are trying to ‘do more with less’ and hope for the best, we see a much bigger opportunity to ‘act differently’ with a Digital-First approach to Customer Success,” said Tyler McNally, SVP of Customer Experience & Customer Success Operations at Gainsight. “With automation, hyper-personalization, and self-service, Digital Customer Success allows companies to get even closer to their customers while simultaneously achieving scale and efficiency. That’s why we predict that in five years, Digital Customer Success experiences will be table stakes.”

As the global economic markets continue to evolve, reducing the cost to acquire, retain, and grow customers continues to be a top priority for every B2B Technology company. “Understanding which customers are best positioned for potential expansion and which are most prone to churn is a by-product of having the right Customer Success responsibilities, objectives, and measurements in place”, said Ray Rike, CEO of Benchmarkit. “This research provides a detailed look at how companies are using metrics and Digital Customer Success strategies to drive more efficient customer retention and customer expansion.”

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Following are the main highlights from the CS Index North America 2023 report:

Customer Success Has Matured

A whopping 98% of companies are maintaining or increasing their investment in Customer Success. Companies are also recognizing the value of Customer Success operations to drive efficiency and further ROI: The number of companies with a dedicated Customer Success Operations organization has more than doubled, from 20% in 2022 to 41% this year.

Increasing Scale and Efficiency is the Top Goal for Digital Customer Success

More than half (59%) of respondents said their number one objective for Digital Customer Success is increasing Customer Success scale and efficiency, followed by improving customer experience and product adoption (19%), and customer retention (18%).

Digital Customer Success is Being Used to Drive a Wide Range of Programs

Over two-thirds (67%) of respondents said the top use of Digital Customer Success is to drive product adoption. But the data shows companies are using Digital Customer Success for many other reasons, too: 61% said it was primarily for onboarding, and 51% said advocacy/NPS.

Digital Customer Success Simplifies and Amplifies Traditional Channels

Digital events/content (webinars, conferences, etc.) were the top channels for Digital Customer Success, according to 78% of respondents, followed by marketing automation (65%), in-app guides and messages (56%), and Customer Success platforms (also 56%).

KPIs Are Still in their Infancy with Digital Customer Success

While only 27% of companies with a Digital Customer Success program have well-established KPIs, 60% said their KPIs are currently “under construction.” An interesting finding: Companies that do have Digital Customer Success KPIs are using the same metrics as they do for human-led Customer Success (renewal rates, net revenue retention, logo churn).

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Pixability Launches First-of-its-Kind DE&I Solution to Ensure Investment in Diverse Communities and Give Creators a Voice and Choice about Which Communities they Represent

Globe Newswire

October 19, 2023

The Inclusive Media Initiative will Direct Advertising on YouTube to Self-Identified Diverse Creators

Pixability, the leader in brand suitability and contextual targeting solutions for advertisers on YouTube, announced the launch of its Inclusive Media Initiative. For the first time, creators will now be able to self-identify the communities that they represent and advertisers will be able to direct their advertising accordingly to the largest network of self-identified diverse creators available. As a result, advertisers can feel confident they are supporting the communities they want to reach while driving greater representation and diversification of their media.

“Launching this initiative is a critical step forward for Pixability and the industry ,” said David George, CEO of Pixability. “We’re passionate about enabling revenue for YouTube creators who produce impactful content and believe these creators should have the power to decide with which communities they identify. Brands, agencies, and the creators themselves overwhelmingly agree and the early adoption we’ve seen by global advertisers validates that.”

Over the past several years, there has been a significant acceleration of investment from brands and agencies looking to allocate an increasing percentage of their ad spend to support specific diverse communities. Until now, however, there hasn’t been an easy way for brands to direct these investments at scale to self-identified diverse creators on YouTube.

“We are very focused on initiatives intended to drive success in the diverse creator community,” said Kim Larson, Global Managing Director and Head of YouTube Creators. “ And we’re thrilled that Pixability, one of our first YouTube Measurement Program Partners, has launched this initiative focused on providing diverse creators with an opportunity to drive authentic investment in their channels and more awareness for their communities.”

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One of the challenges for advertisers trying to connect with diverse creators is that often brands and agencies are only aware of the largest creators in a particular community, while often there are thousands of lesser known creators also worthy of investment. To address this issue, Pixability solicited a broad range of diverse creators to join the self-identification initiative and, in turn, avail themselves to be included on media plans of advertisers of all sizes. Pixability is partnering with creator companies including Whalar, which is a charter partner, to invite creators to join the Initiative and self-identify.

Ashley Rudder, Chief Creator Officer, Whalar said: “The Inclusive Media Initiative allows creators to liberate their creative voice – a philosophy deeply embedded in our ethos at Whalar. For many creators of diverse backgrounds, ad revenue isn’t just supplementary, it’s fundamental. The intricate process of validating their affiliation with distinct communities has often posed a substantial barrier for brands eager to invest. It elevates the creators’ autonomy to self-identify, paving the way for authentic engagements with brands that value and seek their unique perspectives.”

The program already has a large creator base that joined pre-launch and voluntarily provided their self-identified information about which diverse communities they represent. The majority of creators belong to multiple communities.

“When it comes to brands supporting specific communities, there isn’t always a clear path,” said Bri Hall, a well-known beauty content creator on YouTube who has recently joined the initiative. “Some third parties label creators without asking them about their own identities. The Inclusive Media initiative allows creators to tell people and brands who they are and with what communities they identify with.”

Brands and agencies are already embracing the initiative as well:

“The move toward inclusive media solutions aligns with the broader goals of the industry,” stated Charisse Hughes, SVP and Chief Growth Officer at Kellanova (formerly Kellogg Company). “The dual focus on connecting brands with diverse communities and empowering creators holds potential for transformative impact.”

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GoDaddy Conversations Integrates with Google’s Business Messages – A First for Website Builders in the U.S.

PRNewswire

October 19, 2023

GoDaddy-Conversations-Integrates-with-Google's-Business-Messages---A-First-for-Website-Builders-in-the-U.S.

To empower small businesses and nurture their growth, GoDaddy today announced a fresh partnership that brings Google’s Business Messages to GoDaddy Conversations, a unified inbox solution that tracks messages across multiple communication channels for business operators.

Through the integration, entrepreneurs using Websites + Marketing plans will now be able to receive messages from consumers using Google Search and Maps. Small businesses will also be able to view and reply directly from their unified inbox.

“Conversations is the perfect all-in-one solution for entrepreneurs looking to simplify and streamline customer communications,” says Lu Wang, senior director of product management at GoDaddy. “As the first website builder and unified inbox provider in the U.S. to integrate Google’s Business Messages, GoDaddy customers will be connected in the places that matter the most.”

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Today, consumers often communicate with the businesses they support around the clock across multiple channels including email, chat and social media. That’s why GoDaddy created the Conversations’ unified inbox, which consolidates and organizes customer interactions, reducing confusion and saving small business owners precious time.

GoDaddy Conversations already provides entrepreneurs with access to other key communication channels. Using GoDaddy’s Websites + Marketing solution, an all-in-one website builder that comes with integrated marketing tools to grow any business, customers can view a snapshot of their business’ email, customer contact forms, website chat, and social media activity, including direct messages, mentions and comments, all within their unified inbox.

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The All-in-one AI Platform iSenseHUB Added a Robust Website and Landing Page Generator to Its Toolset

MTS Staff Writer

October 19, 2023

More than 65 AI productivity tools for professionals and individuals are now available on iSenseHUB.

James Akpo, the Founder & CEO of iSenseHUB has announced a brand new addition to iSenseHUB toolset in the form of a robust Website and landing Page Generator. Powered by cutting-edge artificial intelligence, this tool will help beginners and professionals create aesthetically pleasing and fully functional websites and landing pages using a single keyword, simplifying the whole web development process like never before.

Speaking to the media, James Akpo said, “We’ve worked tirelessly to ensure this tool isn’t just user-friendly, but that it moves in stride with the future of digital design. Less time spent wrestling with complicated web design means more time channeling your creativity and focus into your primary work – and that’s a future we at iSenseHUB are proud to be a part of. ”

This new AI-powered Website and landing Page Generator will positively impact e-commerce startups, digital marketing firms, social media marketers, and UI/UX Design firms, as it simplifies their design process while maintaining high standards. It’s also an empowering tool for small businesses, bloggers, and even event organizers who want to make a striking online impression.

With this latest addition, iSenseHub now boasts an extensive assortment of over 65 premium productivity tools that aim to simplify and optimize tasks by equipping users with innovative AI solutions. The AI Content Generator on the platform is designed to assist realtors, marketers, copywriters, and content creators, offering a range of tools from crafting real estate listings to generating SEO ads and articles, making content creation easy as a breeze. The AI Text-To-Code tool is a blessing for coders, shortening the development cycle by transforming ideas into functional codes.

Explaining the benefits of iSenseHUB, a comprehensive all-in-one AI productivity platform, James Akpo said, “ iSenseHUB is an innovative, one-stop destination for all your business and professional needs. Our platform promises to streamline tasks, enhance productivity, and empower users with the latest technology. With iSenseHUB’s comprehensive AI content-creating platform, anyone from beginners to professionals can now boost their creativity without ever having to go to another platform.”

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Leaving behind his 9 to 5 corporate job as an expert financial controller, James Akpo aims to revolutionize how businesses and people carry out and complete their tasks with exceptional efficiency and top quality.

With the AI Speech-To-Text Generator, users can convert spoken words into written text in mere seconds, while the AI voice-over technology enables content creators to enhance their sound projects, making them natural and realistic. With such automation, iSenseHUB has given the opportunity to professionals to bring their content to life with ease and convenience.

The pro-features offered by iSenseHUB are nothing short of amazing. With the combination of the AI Inpainter & the AI Image Upscaler, create magical images and photographs with the highest possible resolutions. The landing page generator creates professionally designed pages, resulting in proven enhanced engagement and conversions.

Other features, like the AI Room Designer, enable users to experiment with layouts, redefine spaces, and visualize interior design, all powered by cutting-edge artificial intelligence. HR professionals and freelance recruiters can elevate the hiring process and enhance candidate assessment with the AI InterviewPro.

iSenseHUB offers multi-functional capabilities with complete adaptability and versatility backed by an extensive knowledge base and the power of Natural Language Understanding. The user-friendly interface has been designed to ensure that users get the hang of the platforms in seconds.

With iSenseHUB, James Akpo is making strides in the professional sector and focusing on helping developing countries by providing innovative tools and solutions to uplift industries and communities. “iSenseHUB is more than just a business; it’s a dream realized, a vision brought to life. The journey from finance expert to entrepreneurial pioneer was not without its challenges. Late nights, countless obstacles, and moments of doubt were part of the journey, but each setback only served as a setup for a remarkable comeback”, James added.

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Introducing Insights Portal from aytm: An innovative new way to connect consumer survey data

PRNewswire

October 19, 2023

Introducing-Insights-Portal-from-aytm--An-innovative-new-way-to-connect-consumer-survey-data

aytm (Ask Your Target Market), the leading agile consumer insights platform for some of the world’s most notable brands, creative agencies, and marketing consultancies, is thrilled to announce the launch of their highly anticipated Insights Portal. The groundbreaking new solution is set to increase the value of every survey run by offering a comprehensive longitudinal view for trackers and a dashboard overview for an entire portfolio of concepts.

“There’s always been this challenge when it comes to combining data from different surveys,” said Lev Mazin, CEO of aytm. “Insights Portal is capable of building bridges that finally make these connections, allowing insights seekers to access comparable data points between surveys.”

Insights Portal empowers researchers to identify trends, patterns, and insights that may not be apparent when analyzing surveys in isolation. By opening a portal between different surveys, researchers can connect their data and streamline the process of combining and analyzing results from multiple surveys into one convenient location.

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Performance tracking is a crucial aspect of market research—particularly when it comes to longitudinal data from tracker surveys. By visualizing tracker data, businesses can gain a clearer and more intuitive understanding of how performance evolves over time. Insights portal streamlines this process by enriching trackers with interactive visualizations and powerful analysis. This not only helps identify key performance indicators and track trends, but makes it easier to spot any issues that may arise.

Insights Portal also enables insights seekers to compare their metrics against external benchmarks. By inputting their data, businesses can benchmark their own results against specific survey types to gain valuable insights into their market position. This benchmarking provides valuable context into broader industry trends and best practices, clearing the way for well-informed and strategic decision making.

These benefits combine to offer a solution that solves consumer insights challenges, streamlines processes, and enhances productivity. With Insights Portal, businesses and individuals alike can now experience a new level of efficiency and performance.

“Insights Portal represents the culmination of aytm’s relentless dedication to innovation, pushing the boundaries of consumer insights to deliver an unparalleled user experience,” said Mazin. “Through meticulous research and development, our team of experts has created a product that will empower researchers and exceed their expectations in every way.”

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New NextGen Strategic Alliance to Expedite Digital Transformation for Measurable Growth

Business Wire

October 19, 2023

New-NextGen-Strategic-Alliance-to-Expedite-Digital-Transformation-for-Measurable-Growth

A partnership facilitated by NexGen with Resulticks and Couch & Associates will provide innovative products and services to the growing number of enterprises investing in digital transformation.

A Next-Gen Holdings, a global technology company, announced today that it has facilitated a strategic partnership with Resulticks, the award-winning customer engagement solutions innovator, and Couch & Associates, provider of custom marketing cloud solutions tailored for brands throughout North America. The partnership marks another milestone in NextGen’s expansion of its North American partner network.

“We’re absolutely thrilled about this new strategic alliance with Resulticks and Couch & Associates,” said Prabhu Ramkumar, co-founder of NextGen. “It comes at a most opportune time to provide innovative products and services to the growing number of enterprises investing in digital transformation. It’s the kind of partnership that will create enormous value for both Resulticks and Couch & Associate clients. We expect great things from this collaboration.”

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Redickaa Subrammanian, co-founder and CEO of Resulticks noted, “Couch’s years of experience and proven success in marketing technology solutions blends perfectly with Resulticks’ industry leading CDP and real-time orchestration capabilities. The Couch team understands digital transformation and has deep experience in accelerating it in thousands of engagements. Our alliance creates an unbeatable combination for delivering highly personalized, data-driven customer experiences for our clients—the kind that accelerate conversion, build long-time customer relationships, and deliver quantifiable top-line growth.”

Mike Couch, Couch & Associates CEO and managing director added, “Over the past 17 years, we’ve gained a deep understanding of the nuances of implementing sophisticated technology solutions for clients of all sizes from wide-ranging industries. By blending our strategic and technical skills with Resulticks’ world-class data capabilities and AI-powered analytics, we can enable our clients to convert data into valuable insights, boost lead generation, acquire new customers, improve customer retention, and attribute ROI to specific actions. ”

The new partnership will focus primarily on serving the North American marketplace across all industries with particular emphasis on banking, retail, insurance, financial services, CPG, travel and hospitality.

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Intentwise Launches Amazon Data Unification and Ad Optimization Platform in Japan

PRNewswire

October 19, 2023

Intentwise Launches Amazon Data Unification and Ad Optimization Platform in Japan

Intentwise, an analytics-driven platform for brands and agencies to optimize their Amazon channel, announced the launch of its suite of solutions in Japan.

By creating a dedicated platform for brands and agencies in Japan, Intentwise aims to better serve its existing Japanese customer base, as well as welcome in many new faces.

Intentwise recognizes Japan’s dynamic e-commerce landscape and the potential it holds. Japan is the fourth-largest e-commerce market in the world, with a total sector revenue of $4 trillion. With the launch of our platform and services in Japan, we aim to equip businesses with the tools they need to excel in the Japanese market through data-driven decision-making and ad optimization.

Sreenth Reddy, CEO of Intentwise, stated, “We are thrilled to introduce our platform to empower Japanese businesses on the Amazon marketplace. Our solutions help brands and agencies unify advertising and retail signals and take a holistic approach to amplifying Amazon presence.”

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With the launch, Japanese brands and agencies will now have complete access to the Intentwise Ecommerce Cloud suite of solutions. These solutions allow for:

Retail-Aware Ad optimization. With the Intentwise Ad Optimizer, it’s never been simpler to segment keywords, identify new targets, and write automated rules that account for retail metrics like inventory.

Data unification and advanced analysis. Intentwise Analytics Cloud stitches together retail, operational, and ads data, automatically. Our solution collects disparate reports, connects them together, and enriches and visualizes them for easy use. See a dynamic, refreshable view of item-level profitability, TACOS, and more.

Simplified use of Amazon Marketing Cloud. Lastly, with Intentwise Explore, brands and agencies can refine their advertising insights at scale. Group shoppers based on Life-Time Value, track their journey throughout ads, measure how many conversions come from first-time buyers of a brand, and much more. Further, in Intentwise Explore, brands and agencies can accomplish this without needing to know SQL.

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Moz Launches Free Local Business Content Marketing Guide to Empower Local Marketers and Increase Competitive Edge

PRNewswire

October 19, 2023

Moz Launches Free Local Business Content Marketing Guide to Empower Local Marketers and Increase Competitive Edge

Moz, the leading SEO and marketing platform, has introduced its latest resource: the Local Business Content Marketing Guide. Designed to empower local businesses across the globe with the knowledge and tools needed to thrive in the digital landscape, this comprehensive guide seeks to transform how local business owners approach online content marketing.

In today’s digital era, content marketing has become the cornerstone of successful online strategies. Recognizing the unique circumstances and opportunities local businesses and their marketers face, Moz has developed this guide to provide tailored insights and actionable tips specifically for local business owners, marketers, and agencies with local business clients. This guide is applicable to local businesses of all sizes – including those with one, or few locations, to those with hundreds of locations – and across many industries, including retail, healthcare, finance, insurance, and many more.

Uniquely crafted, Moz’s Local Business Content Marketing Guide provides a multi-faceted approach to content marketing. With the holiday season ahead, content marketing takes a front seat for local businesses and marketers. The guide provides focus and direction during this busy time, covering a vast range of topics, including content creation, SEO, online best practices, social media marketing, and storytelling techniques, all geared toward enhancing the online presence of local businesses.

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Key highlights within Moz’s Local Business Content Marketing Guide include tips to support marketers:

Develop targeted strategies: The guide offers proven strategies that cater to the specific needs of local businesses, ensuring maximum impact within their communities.
Implement local SEO strategies & tactics: Learn the latest SEO techniques tailored for local search, enabling businesses to rank higher on search engine results pages and attract more organic traffic.
Create engaging content: Discover actionable tips from some of the world’s most respected local marketers from Sterling Sky, Near Media, and other top local agencies, on creating compelling and relevant content that resonates with local audiences.
Improve social media engagement: Harness the power of social media platforms with strategies designed to boost brand visibility, build a loyal customer base, and increase online engagements.
Deliver measurable results: Garner insights into tracking and analyzing marketing efforts, enabling marketers and business leaders to measure the effectiveness of their content strategies and ways to further these efforts for their businesses.

“When local business owners step into the web, they become publishers, because content directly impacts the rankings, reputation, and revenue of their company. It matters tremendously. This is why both owners and local search marketers are constantly asking what they should write about,” said Miriam Ellis, Local Search Scientist at Moz. “The answer is that there are hundreds of small and large assets available to local brands that qualify as ‘content’; from what you publish on your website, to your local business listings, review responses, social postings, and so much more. It’s all content and done properly, it all contributes significantly to your success. I wrote this guide to teach them what to write and where to promote it, providing a thorough answer to this perennial, core question, all in one resource. The guide is so comprehensive that you can keep referring back to it as your business evolves through multiple stages of growth.”

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New Revefi Research Reveals That Bad Data Is Wreaking Havoc for Businesses

Business Wire

October 18, 2023

New-Revefi-Research-Reveals-That-Bad-Data-Is-Wreaking-Havoc-for-Businesses

Survey shows why data teams need a trusted copilot to manage data quality, performance, usage, costs

New research from Revefi reveals that bad data costs companies significantly and in more ways than one. Forty percent of the more than 300 IT directors, data and analytics managers, and other IT professionals surveyed said they encounter 11 to 100 data incidents per month. Sixty-five percent of the group said bad data delays processes. More than 75% said that it is somewhat, very, or extremely difficult to manage data warehouse spend, which is especially problematic right now as companies are working to do more with less.

“Data quality and management issues are on the rise, and that’s a costly problem for businesses,” said Sanjay Agrawal, CEO and co-founder of Revefi. “It leaves them spending too much time manually identifying root causes of data issues, and it creates delays, wastes money, leads to poor decision-making, and reduces customer trust and the accuracy of AI models.”

“Every business wants to be data-driven, yet there’s a lack of trust in data,” added Shashank Gupta, CTO and co-founder of Revefi. “Data teams typically lack the tools that they need to understand if they have a data problem and identify root causes quickly to fix issues and move their businesses forward. I witnessed this struggle firsthand during my time on Meta’s data infrastructure team. That led Sanjay and me to start Revefi and launch Revefi Data Operations Cloud, a zero-touch platform to monitor and manage data quality, performance and costs.”

Organizations across sectors spend far too much time finding and resolving data incidents

More than a quarter of those surveyed said detecting most data incidents takes up to eight hours. A tenth of the group said identification can take days or even more than a week. In addition to the time it requires, manually identifying problems is also enormously resource-intensive, as finding root cause often requires the involvement of multiple people across teams.

That’s just uncovering the source of the problem. Then, you need to fix it. Yet 43% of survey respondents said it takes more than 48 hours to resolve a data incident after discovering it.

Half of the survey respondents from the manufacturing sector and 60% of IT professionals in education admitted that it takes them more than 48 hours to resolve data incidents. A full 100% of respondents in energy, oil & gas said they typically must dedicate more than 48 hours to resolve a situation stemming from bad data.

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Bad data and other data challenges like cost management can have adverse consequences

Fifty-eight percent of the IT professionals surveyed said that data quality and cleanliness are the most significant challenges that they face when working with data. Nearly as many (57%) respondents in the survey group revealed that they have encountered inaccurate data.

The same share (57%) said bad data has led to poor decision-making. Nearly as many (56%) said they believe that bad data reduces the accuracy of AI model performance. That is concerning considering the very high usage of AI models that has occurred in recent months.

Half of the survey respondents said that managing their data warehouse spend is difficult. Bad data also can erode the data users’ trust and work against company efforts to build a data culture. Indeed, 40% of respondents said that they believe bad data reduces customer trust.

Data quality is critical to AI model training and to ensure ethical AI development

As the adoption of AI grows and more organizations rely on AI models to automate more decisions and processes, the need for high-quality data takes on even greater importance.

That said, it’s troubling that 43% of respondents said they have experienced negative consequences due to poor data quality in AI projects. It’s also concerning that more than half (52%) of IT pros only somewhat trust the data sources that are being used to train AI models.

But there’s also some good news here. A whopping 70% of IT professionals believe that addressing data quality issues is important from an ethical standpoint in AI development.

With a copilot, data teams can manage data quality, performance, usage and costs

The better news is that technology is now available to help data teams manage data quality, performance, usage and costs. Revefi Data Operations Cloud is a copilot that empowers data teams to get the right data in their cloud data warehouses reliably, promptly and affordably.

For example, Revefi Data Operations Cloud gives FCP Euro a granular, accurate understanding of its data platforms so it can see how teams consume data and where they might be missing certain fields or values that could add insight. That allows the e-commerce company to know what its teams need from data so it can focus its energy and investment on delivering that. Revefi Data Operations Cloud also provides FCP Euro better insight for cost management, easy-to-understand data quality alerts and a sound foundation for data governance.

Revefi Data Operations Cloud is also helping ThoughtSpot move its business forward. ThoughtSpot now enjoys data freshness; automatic, instant access to data lineage; greater user trust in data; and cost and spend management. Within weeks of adopting Revefi, ThoughtSpot reduced its cloud data platform costs by 30% while increasing its platform usage by 35%.

Another customer, Uplimit, has achieved data reliability at scale with Revefi. The AI education platform company turned to Revefi to ensure a high standard of quality for the data it uses. With Revefi, Uplimit enjoys the benefits of data quality monitoring without a dedicated resource, silent failure detection, stringent control over data access to ensure SOC 2 compliance and the ability to find unused data resources so that it can identify cost savings opportunities.

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Forrester Transforms Access To Research-Based Insights With New Generative AI Tool, Izola

Business Wire

October 18, 2023

Forrester-Transforms-Access-To-Research-Based-Insights-With-New-Generative-AI-Tool_-Izola

Designed to answer open-ended questions, Izola synthesizes Forrester’s research to enable clients to move faster on their top initiatives

Forrester today announced Izola, a new generative AI tool that allows users to query Forrester’s wealth of research and get a clear, synthesized answer via a simple chat interface. Currently available to a select group of Forrester clients, Izola will be made available to all Forrester Decisions and Forrester Market Insights clients in upcoming weeks. According to Forrester, 72% of global AI decision-makers believe that productivity is one of the greatest potential benefits of generative AI for their organizations — and Izola is designed to help clients improve productivity while accelerating outcomes.

“This is another golden age for research,” said Carrie Johnson, chief product officer, Forrester. “The way to avoid coherent nonsense in genAI output is through rigorous data and analysis going in. That’s exactly what Forrester does: rigorous data collection and analysis. Along with speed and self-service, Izola offers dependability and trust since the answers are based on vetted research. Forrester accelerated the development of this tool to seize the AI moment and help our clients discover insights quickly. We view this as a co-creation moment with our clients and have already received much positive feedback.”

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One of many generative AI initiatives underway at Forrester, Izola was developed in-house using open-source technologies. When a client submits a question, Izola quickly scans hundreds of thousands of pages of Forrester research and blogs. Then the tool generates a synthesized answer in everyday common language in the form of a paragraph, bullet points, or sequential steps. Links to the source reports and blog posts appear below the summarized answer, giving clients the option to go deeper. Izola enables clients to get a jumpstart on their top priorities and have more informed conversations with Forrester experts who apply and contextualize Forrester insights to their business-critical initiatives.

Forrester continues to produce compelling research to help clients gain value from predictive and generative AI. These insights help business and technology leaders separate hype from reality — and understand how they can leverage AI to augment business practices in ways that were previously impossible.

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LifeStreet Launches New AI Creative Solution for In-App Ad Personalization

Business Wire

October 18, 2023

LifeStreet Launches New AI Creative Solution for In-App Ad Personalization

LifeStreet, a leader in mobile marketing, announced its latest solution to maximize return on ad spend (ROAS) for performance marketers. Nero Dynamic Creatives improves the effectiveness of in-app advertising by testing, analyzing, and deploying a limitless number of AI-generated creative combinations across numerous audience segments. Through real-time creative analysis, advertisers can now make immediate connections between creative elements (headlines, images, CTAs, etc.) and users’ actions, ensuring that the optimal creative is always being served.

“When dealing with thousands of apps and an incredibly diverse audience of billions of users, there is no single best ad. Instead, advertisers need to use these new tools to push the boundaries of what is possible for the customer experience and continued growth.”

This release builds on technological advancements made to LifeStreet’s media buying platform, Nero, launched in 2022. Powered by LifeStreet’s machine learning (ML) predictive models, performance marketers use Nero’s custom bidding strategies to dynamically adjust bids based on how likely an impression is to meet an advertiser’s objectives. If the Nero platform wins the bid, then the creative optimization model uses data from tens of millions of impressions to predict the creative combination most likely to drive a target event. For any impression in any app, the best creative combination is chosen, and the ad is rendered in real time by LifeStreet’s ad server.

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While generative AI offers tremendous efficiencies of scale for content production, creative modeling and testing has not kept pace. By combining Nero’s comprehensive toolset and generative AI technology, Nero Dynamic Creatives bridge the gap between the transformative potential of AI-generated content and the need for cost-effective, scalable in-app ad personalization.

Key features of Nero Dynamic Creatives include:

AI-Generated Content: Using the power of generative AI, such as Midjourney’s image generation or OpenAI’s Large Language Models, advertisers can massively scale content creation for personalized dynamic ads that are contextually tailored to the app environment.
Dynamic Decisioning: Nero’s robust machine learning models predict the best AI-generated content combination for each impression in any app. Preliminary tests have shown an average 30% performance lift in ads generated by Nero Dynamic Creatives compared to non-personalized ads.
“Nativized” Ad Formats: Imitating the style of native ads, advertisers can provide a seamless visual experience across a larger inventory pool without the technical complexities of trafficking native ad formats.

“We’re entering an era where content creation is becoming more cost-effective, even approaching zero marginal cost. Finding ways to leverage this new paradigm to maximize ad efficiency was the driving force behind Nero Dynamic Creatives,” said Levi Matkins, LifeStreet CEO. “When dealing with thousands of apps and an incredibly diverse audience of billions of users, there is no single best ad. Instead, advertisers need to use these new tools to push the boundaries of what is possible for the customer experience and continued growth.”

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IBM Expands Relationship with AWS to Bring Generative AI Solutions and Dedicated Expertise to Clients

PRNewswire

October 18, 2023

IBM Expands Relationship with AWS to Bring Generative AI Solutions and Dedicated Expertise to Clients

– Delivering joint solutions upgraded with generative AI capabilities for critical uses cases

– Providing clients with dedicated AWS expertise and plans to train and skill 10,000 consultants

– Plans for further integration of IBM watsonx with AWS

IBM announced an expansion of its relationship with Amazon Web Services (AWS) to help more mutual clients operationalize and derive value from generative artificial intelligence (AI). As part of this, IBM Consulting aims to deepen and expand its generative AI expertise on AWS by training 10,000 consultants by the end of 2024; the two organizations also plan to deliver joint solutions and services upgraded with generative AI capabilities designed to help clients across critical use cases.

IBM Consulting and AWS already serve clients across a variety of industries with a range of AI solutions and services. Now, the companies are enhancing those solutions and services with the power of generative AI designed to help clients integrate AI quickly into business and IT operations building on AWS. IBM Consulting and AWS plan to start with these specific solutions:

Contact Center Modernization with Amazon Connect – IBM Consulting worked with AWS to create summarization and categorization functions for voice and digital interactions using generative AI, which are designed to allow for transfers between the chatbot and live agent and provide the agent with summarized details that expedite resolution times and improve quality management.
Platform Services on AWS – Initially introduced in November 2022, this offering is newly upgraded with generative AI to better manage the entire cloud value chain including IT Ops, automation, and platform engineering. The new generative AI capabilities give clients tools to enhance business serviceability and availability for their applications hosted on AWS through intelligent issue resolution and observability techniques. Clients can expect an improvement of uptime and mean time repair which means they can act quickly and effectively to potential issues that arise.
Supply Chain Ensemble on AWS – This planned offering will introduce a virtual assistant that can help accelerate and augment the work of supply chain professionals as they aim to deliver on customer expectations, optimize inventories, reduce costs, streamline logistics, and assess supply chain risks.

Additionally, for clients looking to modernize on AWS, IBM Consulting plans to integrate AWS generative AI services into its proprietary IBM Consulting Cloud Accelerator to help accelerate the cloud transformation process. This will help with reverse engineering, code generation and code conversion.

Commitment to deepening expertise and expanding AWS on watsonx integration

IBM has already built extensive expertise with AWS’s generative AI services including Amazon SageMaker and Amazon CodeWhisperer, and is one of first AWS Partners to use Amazon Bedrock, a fully managed service that makes industry-leading foundation models (FMs) available through an API, so clients can choose the model that’s best suited for their use case.

AI expertise and a deep understanding of AWS capabilities are critical for clients looking to implement generative AI, and IBM is already providing mutual clients with access to professionals from IBM Consulting’s Center of Excellence for Generative AI with specialized generative AI expertise.

With today’s news, IBM Consulting plans to train and skill 10,000 consultants on AWS generative AI services by end of 2024. They will have access to an exclusive, partner-only program that provides training on the top use cases and best practices for client engagement with AWS generative AI services. This will help advance their knowledge, allow them to engage with technical professionals and better serve clients innovating on AWS.

“Enterprise clients are looking for expert help to build a strategy and develop generative AI use cases that can drive business value and transformation – while mitigating risks,” said Manish Goyal, Senior Partner, Global AI & Analytics Leader at IBM Consulting. “Paired with IBM’s AI heritage and deep expertise in business transformation on AWS, this suite of reengineered solutions with embedded generative AI capabilities can help our mutual clients to scale generative AI applications rapidly and responsibly on their platform of choice.”

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IBM is also responding to client demand for generative AI capabilities on AWS by making watsonx.data, a fit-for-purpose data store built on an open lakehouse architecture, available on AWS as a fully managed software-as-a-service (SaaS) solution– which clients can also access in AWS Marketplace. The company also plans to make watsonx.ai and watsonx.governance available on AWS by 2024. This builds on previous commitments made by the two companies to make it easier for clients to consume IBM data, AI and security software on AWS.

“Our customers are increasingly looking for the technical support and AI expertise they need to build and implement a generative AI strategy that drives business value from their entire cloud value chain,” said Chris Niederman, Managing Director, Global Systems Integrators at AWS. “We are excited to be working with IBM to include embedded generative AI capabilities that assist our mutual customers scale their applications – and help IBM consultants deepen their expertise on best practices for customer engagement with AWS generative AI services.”

Generative AI at scale for telecommunications

Clients are already benefitting from the longstanding relationship between IBM and AWS. Bouygues Telecom, a leading French communications service provider with a history of industry-leading innovation, engaged IBM Consulting to support the company’s evolving cloud strategy to explore, design and implement AI use cases at scale while giving teams flexibility to select cloud and AI providers based on departmental and application needs.

Leveraging the IBM Garage approach, the team co-designed a custom data and AI reference architecture covering multiple cloud scenarios that can extend to all AI and data projects across Bouygues Telecom’s cloud and on-premises platforms.

“As we sought to leverage generative AI to extract insights from our engagements with clients, we were confronted with some unfamiliar issues around storage, memory size and power requirements,” said Matthieu Dupuis, Head of AI for Bouygues Telecom. “IBM Consulting and AWS have been invaluable partners in identifying the right model for our needs and overcoming these technological barriers.”

With the new AI platform on AWS, IBM Consulting enabled Bouygues Telecom to develop proof-of-concept models and scale them into production quickly while helping to minimize costs and risks. The platform also enables their data scientists to work with greater efficiency, purpose, and satisfaction by allowing them to spend more time on complex, high-value AI projects rather than launching standalone solutions.

An evolving relationship

With over 40 years of combined experience on AI solutions, IBM and AWS have been working together to respond to clients who are looking to leverage AI for cost, efficiency, and growth, whether they are looking for a demonstration of the technology, defining potential use cases or full co-creation of bespoke solutions.

Additionally, IBM is an AWS Premier Tier Services Partner with over 22,000 AWS certifications globally and has achieved 17 AWS Service Delivery and 16 AWS Competency designations. Today’s news builds on this longstanding relationship and a shared value of the importance of enterprise AI. Getting to enterprise AI at scale requires a human-centric, principled approach, and IBM Consulting helps clients establish guardrails that align with the organization’s values and standards, mitigate bias and manage data security, lineage, and provenance.

IBM Consulting accelerates business transformation for our clients through hybrid cloud and AI technologies, leveraging our open ecosystem of partners. With deep industry expertise spanning strategy, experience design, technology, and operations, we have become the trusted partner to many of the world’s most innovative and valuable companies, helping modernize and secure their most complex systems. Our 160,000 consultants embrace an open way of working and apply our proven co-creation method, IBM Garage, to scale ideas into outcomes.

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

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Narrative Unveils an Advanced AI Team to Amplify the Power of Rosetta: Revolutionizing Data Collaboration

PRNewswire

October 18, 2023

Narrative Unveils an Advanced AI Team to Amplify the Power of Rosetta: Revolutionizing Data Collaboration

Building on the groundbreaking success of Rosetta, Narrative’s AI-powered Data Collaboration Assistant, the company introduced an expansive ecosystem of AI assistants to shape the future of data collaboration. With Rosetta at the helm as the Chief Data Collaboration Officer, this dynamic team will drive unparalleled capabilities, ensuring swifter response times and a revolutionary collaborative experience.

“Narrative’s AI team fuels growth, streamlines data tasks, and empowers organizations for strategic initiatives.”

“Rosetta was the initial step in evolving how businesses access and interpret data,” says Tim Mahlman, Narrative’s CEO. “The addition of her specialized team members pushes us leaps and bounds further. This initiative isn’t merely about faster data solutions; it’s about simulating a bustling corporate ecosystem where AI-powered tools collaborate seamlessly to solve complex challenges.”

Data Collaboration in Enterprises: It Takes More Than One

In the intricate world of enterprise data collaboration, the old adage rings true – it often “takes a village.” Collaboration complexities necessitate diverse expertise, mirroring the multifaceted teams that exist within large organizations. The Rosetta team replicates this dynamic, ensuring that different facets of data collaboration are managed by dedicated specialists. These AI entities mimic the multiple roles and responsibilities seen in corporate data teams, but with the added advantages of being available round-the-clock and being immune to human limitations.

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This streamlined approach considerably boosts the speed and quality of data processing, offering users a nuanced and tailored experience. And for those multifaceted tasks, Rosetta’s team will collaborate, pooling their unique capabilities to produce comprehensive data outcomes.

24/7 Data Collaboration with Unwavering Precision

One of the crowning advantages of Rosetta and her team is their relentless dedication to service, being tirelessly available 24/7, 365 days a year. This continuous, unwavering efficiency ensures that businesses have constant access to crucial data insights. Beyond mere availability, the precision and reliability of their data processing are always maintained at the highest standards.

Importantly, this non-stop AI-driven support means that human teams can elevate their focus. Freed from the weeds of routine data tasks, they can channel their expertise into higher-value roles and strategic initiatives, thereby driving significant organizational growth and innovation. It’s not just about working harder, but smarter, allowing human creativity and strategic thinking to flourish while the AI handles the heavy lifting.

Narrative’s latest venture underscores its dedication to refining data collaboration. While Rosetta paved the way, her dedicated team promises to revolutionize the depth, scope, and speed of data interaction. With the complexities of today’s data world, having a robust, untiring team ready to handle diverse challenges is not just a luxury—it’s a necessity.

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Cadent Introduces Aperture MX to Directly Connect Advertisers and Publishers

PRNewswire

October 18, 2023

Cadent-Introduces-Aperture-MX-to-Directly-Connect-Advertisers-and-Publishers

Cadent, the leading provider of platform-based converged TV advertising solutions, today announced Aperture MX – a new marketplace that delivers curated audiences and content across premium connected TV (CTV), online video (OLV), display, digital out-of-home (DOOH), mobile app, and desktop advertising. The newest product within Cadent Aperture Platform, MX increases transparency between publishers and advertisers, makes it easier to activate and optimize cross-screen campaigns, and gives publishers the ability to generate more revenue through Cadent’s extensive demand-side relationships.

Initial launch partners include Allen Media Group and Basis Technologies.

“There is a clear market need to streamline and automate the buying and selling of TV, video, and digital media,” said Nick Troiano, Chief Executive Officer at Cadent. “Aperture MX responds to these challenges by bridging the gap between advertisers and publishers with purpose-built, data-driven solutions.”

Building on Cadent’s traditional TV buying expertise and cutting-edge programmatic technology, Aperture MX provides advertisers with premium inventory sourced directly from the publisher. This optimized path between buyers and sellers creates more profitable transactions – publishers can increase their portfolio yield while advertisers can confidently target their most strategic audiences.

The Aperture MX focus on quality omnichannel inventory differentiates its marketplace through:

Real, verified audiences curated to match advertiser objectives. Aperture Viewer Graph connects devices to households, enabling cookieless optimizations for buy-side audiences across Aperture MX to deliver greater scale and precision against an advertiser’s target audience.
Direct connections to unique supply categorized by genre, publisher type, or audience, simplifying transactions between buyers and sellers. No “made for advertising” inventory – no duplication of bid requests.
Full transparency into supply mix and bidding activity. Traffic Shaping tools maximize spend against allocated queries per second (QPS). No bid shading or auction manipulation – no bid floor manipulation.

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Aperture MX has already seen significant growth since going live with an exclusive group of publishers earlier this year. The platform is projected to expand to more than 100 publishers by the end of the year, representing 150 billion requests across CTV, online video, and display. Aperture MX is currently live in North America with international expansion slated for 2024.

“The media industry is rapidly changing, and we recognize the need for streamlined advertising solutions,” said Byron Allen, Founder/Chairman/CEO of Allen Media Group. “We are thrilled to be a part of Cadent Aperture MX and provide our advertising partners with another way to buy media from our library of premium movies, TV shows, and local news.”

“TV advertisers will be more willing to direct spend to digital devices if the industry can automate this process and make it easier for brands to understand the effectiveness of ad dollars in this medium. Basis Technologies is driving this evolution as one of the first programmatic advertising partners leveraging Cadent’s Aperture MX,” said Tim Smith, SVP of corporate development, Basis Technologies. “As Cadent has been a forerunner in curating video ad spend for brands, we align with its vision of an interconnected TV advertising ecosystem that brings marketers and publishers closer together.”

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Anova.ai Introduces the First Marketing Analytics Platform Powered by Generative AI and Purpose-Built for SMBs

PRNewswire

October 18, 2023

Marketers can now converse with their data in natural language to get timely insights without needing any technical skills or resources

Anova.ai debuts today with the first marketing analytics platform powered by generative AI and purpose-built for small to medium-sized businesses (SMBs). Marketing teams can now talk to their data in natural language and get results instantly, all without needing any technical skills or resources. This competitively priced tool is specifically designed to serve the needs of marketers and can be fully operational in minutes, increasing speed-to-insight and accelerating decision-making.

Marketers are often forced to navigate complicated UIs or rely on technical teams to provide the data they need, which causes delays that can span days, weeks, and sometimes even months. Imagine the wasted time and opportunities.

Now imagine if you could talk to your data and get answers immediately. Anova is making that a reality, allowing marketing teams to converse with data in real-time, save queries for ongoing analysis, and create custom visualizations — just a few examples of how you can be truly self-sufficient and empowered by data with their platform.

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“We’re really excited to unveil Anova and bring the power of generative AI to marketing analytics.” says Kunick Kapadia, co-founder and CEO at Anova.ai. “My brother and I have been running a marketing agency specialized in analytics for nearly a decade, so when generative AI exploded onto the scene, we realized we could harness the power of this technology to solve a critical challenge marketing teams face every day, accessing their data on their terms.”

Anova is setting a new standard for marketing analytics with these distinguishing benefits:

Industry-Specific Focus
Easy to Use
Seamless Collaboration
Competitively Priced for SMBs

This is just the beginning for Anova, as their plans expand beyond just natural language querying.

“We’re excited about the impact AI will have on the landscape, which is why we’ve built Anova to be flexible and scalable.” says Neelam Kapadia, co-founder and CTO at Anova.ai. “We see our platform revolutionizing the entire analytics lifecycle, from data ingestion to generating insights to predicting performance. We’re already working on some exciting features and can’t wait to put them in the hands of our users.”

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New Generative AI Features from Square Give Powerful Technology to All Businesses

Business Wire

October 18, 2023

New Generative AI Features from Square Give Powerful Technology to All Businesses

Nearly a dozen new Square tools seamlessly integrate generative AI to offer an intuitive helping hand to businesses of all sizes

Square announced 10 new generative AI features that sellers can use now to automate operations, speed up workflows, and regain time. These tools are directly integrated into Square’s powerful business software and provide the company’s millions of sellers with an extra set of hands to help them juggle the multifaceted demands that come with running a business.

Earlier in 2023, Square made generative AI a key business priority, with the aim of providing sellers with generative AI-powered tools that enable them to benefit from the time and cost savings promised by this new wave of technology. Today’s launch marks a major step toward delivering against that goal, and not only putting real, tangible products into the hands of sellers, but also delivering that value across the Square ecosystem, no matter which product – or combination of products – a seller uses.

“We’ve long been differentiated by the depth and breadth of our integrated ecosystem, and bringing generative AI into our products continues to put Square and its sellers at the forefront of technology.”

Key new generative AI-powered features include:

Menu Generator: Restaurants can now create a full menu on Square in just a few minutes with just a few clicks, giving them – or any business looking to expand into food and drink offerings – valuable momentum and time-savings when launching operations on Square.
Photo Environments: E-commerce sellers can now add hyperreal AI-generated backgrounds and choose from more than 50 style prompts with the latest version of the Photo Studio app, helping them elevate their websites and attract more customers. Since July 1, while in beta, sellers have created and saved over 14,000 AI Environment images.

“As a one-woman small business, any tools that can save me time or money are tremendously helpful,” said Carissa Smith, owner of small batch candle store Fuddy Duddy Co. in Merriam, Kansas. “Square’s Photo Studio app has helped me on both fronts as I’ve transitioned to selling online. Instead of spending hundreds of dollars on props and backdrops, and hours of time staging my inventory, I was able to use the app’s new AI environments to quickly bring my catalog to life with backgrounds that fit the themes of my various products.”

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More new Square tools help sellers with content creation, providing them AI-generated content for their public sites, item descriptions, and marketing content:

Personalized email copy: To make email marketing easier, Square Marketing now offers integrated AI to generate personalized email copy, taking the guesswork – and time commitment – out of subject lines and content optimization.
Team announcements: To inform staff more efficiently, employers using Square Team Communication can now quickly generate and send out team announcements to let employees know about new products, upcoming promotions, and more using AI-generated copy, with a choice of topic, length, and tone.
Website copy generator: To lend a hand with short- or long-form website copy, Square Online’s AI-assisted copy generator helps sellers save time, level up their websites, and boost SEO – from set-up to refresh, and headlines to blog posts.
Suggested replies: To enhance direct messaging with buyers, sellers using Square Messages now have even more sophisticated AI responses, with the ability to personalize messages to buyers with suggested replies that prepopulate names to enrich correspondences.

Whether setting up a business from scratch or switching over to Square, AI-enabled tools focused on onboarding & set-up help sellers get their accounts and catalogs activated in a way that gives them time back and lowers the barrier to entry:

Auto-generated library: Square Point of Sale’s new AI-powered starter library suggests items for sellers to adopt based on insights about their business. In just a few clicks, sellers can get up, running, and selling. By easily setting up their catalogs and configuring items for sale, Square saves sellers valuable start-up time and removes the need to start from scratch.
Auto-imported services: Square Appointments has made it easier than ever to switch booking platforms. No matter how many services a salon or spa offers, they can now use AI to automatically import service names, descriptions, durations, and prices during onboarding to get up and running faster.

With a focus on operational efficiency, these new features give sellers powerful tools to increase productivity and optimize their workflows, so they can focus on making more sales:

Kitchen categories: In restaurants, even kitchen operations can be optimized with AI – now, Square KDS can auto-assign menu items to kitchen categories and station screens to create smooth workflows for back-of-house staff. Restaurant managers can keep menus and operations up to date by editing and saving catalogs with just a few clicks, expediting the process of getting orders fired.
Item descriptions: Sellers running any Square Point of Sale software can now set up and manage their catalog with ease. With compelling, auto-written product descriptions, sellers gain more efficiency in their operations by adding new inventory quicker and getting them ready to sell – allowing them to focus on attracting more buyers, faster – across all their integrated selling channels.

“Square is uniquely positioned to be the technology partner that enables the most seamless, intuitive applications of AI. Our goal is to help businesses of all sizes scale their operations and take advantage of these new innovations,” said Saumil Mehta, Head of Point of Sale and Omnichannel at Square. “We’ve long been differentiated by the depth and breadth of our integrated ecosystem, and bringing generative AI into our products continues to put Square and its sellers at the forefront of technology.”

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What Are Behavioral Triggers?

Definition of Behavioral Triggers

What is a marketing campaign?

How to use behavioral triggers in a marketing campaign

1. Establishing Touchpoints:

2. Educational Content Email:

3. Subsequent Educational Content Email:

4. Case Study Email:

5. Reminder:

6. Demo Video Email:

7. New Customer deal Email:

8. Consultation Invitation Email:

Determining which behavior is triggered in the marketing workflow:

Tools for Harnessing the Power of Behavioral Triggers in Marketing

1. Customer Relationship Management (CRM) Software

2. Marketing Automation Platforms

3. Analytics Tools

4. Email Marketing Software:

5. Ad Retargeting Platforms

6. Engines for Personalization

Final Words:

We’d love to hear about Web3 Pro and how it enables digital engagement?

Tell us bout your recent launch of ‘The Hub’ and how it benefits end users?

How are web 3 fundamentals changing the game for brands and marketers today?

What do you feel about the future of web 3?

Can you talk about the impact of AI on this segment?

A few thoughts you’d share with our readers on how they can drive improved digital experiences in todays web 3 inspired marketplace?

Missed The Latest Episode of The SalesStar Podcast? Have a quick listen here!

Life after iOS 14

Impact beyond eCommerce

What’s next

New Digital Strategies Are Helping Companies Improve Customer Experience, Product Adoption, and Customer Retention

The Inclusive Media Initiative will Direct Advertising on YouTube to Self-Identified Diverse Creators

More than 65 AI productivity tools for professionals and individuals are now available on iSenseHUB.

– Delivering joint solutions upgraded with generative AI capabilities for critical uses cases

– Providing clients with dedicated AWS expertise and plans to train and skill 10,000 consultants

– Plans for further integration of IBM watsonx with AWS

Marketers can now converse with their data in natural language to get timely insights without needing any technical skills or resources

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