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billups Launches AI-Powered Agentic System for Out-of-Home Advertising

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PageProof launches Adobe Express add-on for fast and structured creative approvals

New innovation to support breakneck momentum in UK and EMEA markets

billups, the world’s largest independent Out-of-Home (OOH) technology and managed services company, announced significant enhancements to its technology capabilities, including the introduction of audrai, the first AI-powered agentic system built to optimise planning and performance for OOH advertising. The company’s technology-first approach has fuelled expansion across more than 20 countries while building on significant momentum and leadership in the UK and EMEA markets.

The company’s suite of proprietary data and measurement tools, anchored by the newly launched audrai, is transforming how brands worldwide plan, measure, and optimize their OOH investments.

“billups is leading a fundamental shift in how advertisers approach OOH with our ability to bring digital-level measurement and optimisation to a historically analogue medium,” said Shawn Spooner, Global Chief Technology Officer at billups. “With audrai and our broader technology suite, we’re enabling brands to unlock the true performance potential of OOH, with particularly strong adoption in sophisticated markets like the UK where advertisers demand data-driven accountability.”

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Central to billups’ global success is a philosophy that seamlessly integrates human creativity and local market expertise with advanced technology and AI. audrai supports this approach, automating complex operational tasks while freeing teams to focus on strategic innovation. Early deployments have delivered measurable results across the company’s global operations, including:

  • Up to a 50% increase in workflow acceleration.
  • Complex geospatial mapping reduced from 1-2 days to under 2 minutes.
  • Campaign planning cycles compressed from days to hours.
  • Instant market, audience, and client strategy generation.

Unlike generic AI tools, audrai is built to understand OOH from the ground up, bringing together automated audience planning, creative performance, A/B testing, and predictive insights to make campaigns smarter, faster, and more accountable.

Marketing Technology News: Martech & the ‘Digital Unconscious’: Unearthing Hidden Consumer Motivations

“As an agency with a relentless focus on marketing effectiveness, we need a greater level of accountability and agility from Out-of-Home so we can measure and prove its impact on both brand and commercial KPIs,” said Steve Parker, Executive Director at Medialab Group. “What billups is building with audrai represents the kind of innovation we must have to bring data-driven planning and measurement to a medium that hasn’t been able to deliver this level of insight to date. We are excited to be early partners in this transformation and to help push the industry forward to how the medium should be planned and measured in the modern era.”

UK and EMEA Market Successes Validate Global Technology Strategy

Since its acquisition of MediaBridge last year, billups has rapidly gained market share by introducing advanced capabilities previously unavailable to UK advertisers.

The company’s momentum in the UK and EMEA region includes:

  • 78 new hires in 2025; with the UK team growing 40% year-over-year (YoY), namely in client strategy, tech, and analytics.
  • The addition of more than 20 new clients, including Oatly, Just Eat, and Revolut.
  • 21 major industry awards for client campaigns.

billups previewed its technology enhancements at an exclusive event yesterday in London, bringing together senior marketers, agency leaders, media suppliers, and advertisers for an inside look at how AI is transforming OOH planning and measurement. The event, themed “OOH for the Performance Age,” demonstrated billups’ growing opportunities for the UK market.

Continued Innovation Investment

Looking ahead, billups is accelerating its technology development with continued investment in AI, machine learning, and advanced analytics. The company plans to expand its platform capabilities throughout 2026, with a focus on:

  • Enhanced predictive modelling for campaign performance.
  • Expanded integration with digital marketing ecosystems.
  • Advanced creative optimisation based on environmental factors.
  • Real-time audience measurement and verification.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Martech for the Hybrid Customer Journey

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There are no longer any clear lines between digital and physical marketing. In today’s connected economy, the customer journey moves smoothly between screens, stores, and situations. For example, a customer might look at a product on Instagram, try it out in a store, and then buy it on a mobile app.

The idea of a single-channel journey is no longer relevant. Instead, we live in a time when people switch between channels and engage with each other across channels. This change has made things harder for marketers, not because they have to collect data, but because they have to make sense of it. This is where Martech is changing.

Today’s marketing is more complicated than ever before. One customer can create thousands of touchpoints, such as clicks on social media, actions taken in an app, loyalty redemptions, and interactions in a store. But for a lot of businesses, all of this information is still spread out across separate systems.

Traditional automation tools were made to work best in one channel, not in a world where people can switch between digital and physical environments in seconds. What happened? A broken view of the customer, experiences that don’t match up, and chances to connect with them in a meaningful way that are missed.

Martech’s growth over the last ten years promised to bring these touchpoints together, but at first, it only focused on digital channels like email automation, ad targeting, and website analytics. As physical experiences and digital behaviors come together, marketers have a new task: to close the hybrid divide. Not only does automation play a role in the future of marketing, but so does integration—the ability to see and respond to the customer as a single story instead of a series of unrelated events.

Customers today want personalization that seems easy and takes into account the situation. They expect the same level of familiarity and relevance when they go into a store or open an app as they do when they interact with a brand online. A lack of connection between these places makes people less loyal and less trusting. Martech platforms used to only be able to run campaigns. Now they are turning into orchestration engines, which are smart systems that combine behavioral data, location signals, and real-world context to provide seamless, adaptive engagement.

But the problem goes beyond just technology. It’s about changing how businesses think about and measure experience. Marketing leaders need to stop thinking about metrics that are focused on channels and start thinking about metrics that are focused on journeys. They need to ask how each interaction affects the overall relationship with the brand. To the hybrid customer, digital and physical are the same thing; they are all part of the same continuum of engagement. Now, martech needs to be just as flexible, acting as the glue that holds together different environments, systems, and moments.

So, the goal of modern Martech is clear: to bring together digital accuracy and physical presence to make a cohesive ecosystem where every touchpoint builds on the last. In this mixed-up world, the brands that will win are the ones that not only know where their customers are, but also how their journeys change over time, in ways that are unpredictable and across all types of media.

In the hybrid era, marketing is no longer about campaigns or channels; it’s about keeping things going. Martech is at the center of this change because it lets brands turn scattered data into complete experience intelligence. What used to be automation is now orchestration, and what used to be a marketing system is now a living, learning ecosystem made for the connected human journey.

Getting to Know the Hybrid Customer

The hybrid customer is the most important type of customer in modern marketing because of how connected experiences are now. This customer easily moves between physical and digital touchpoints. They compare products online, scan QR codes in stores, look for social proof on mobile apps, and finally make purchases wherever it is most convenient and makes sense.

For brands, this changeability is both a huge chance and a big problem. It shows that we need a new kind of intelligence that only advanced Martech ecosystems can give us.

a) Behavior Shift: Blending Convenience with Experience

The hybrid customer isn’t loyal to one channel; they’re loyal to things that work together. They want the same level of personalization in the store as they get in their email or app feed. A typical journey might start with an online search, then move to a social recommendation, then to a physical store to touch and feel the item, and finally to a mobile purchase, all in a matter of hours. Every one of these small moments adds to a feedback loop of engagement, emotion, and decision-making that keeps going.

This new way of acting by consumers shows that their expectations have changed: they want experiences that are both personalized and aware of the situation. Digital must be as easy to use as physical engagement is satisfying to the senses. In this dynamic, Martech is no longer just a digital tool; it becomes the glue that holds brand interactions together across all platforms, devices, and locations.

Marketers need to figure out how to map this nonlinear behavior and build systems that can predict what customers will do instead of just reacting to it. Adaptive Martech stacks now have predictive intelligence, omnichannel analytics, and AI-driven segmentation as core skills. They help brands figure out not only what customers do, but also why they do it by finding intent signals hidden in the mess of behavior across multiple channels.

b) Rising Expectations: Seamless Engagement Everywhere

Customers who use both online and offline services want the two to work together smoothly. The experience should be the same and never stop, whether they talk to a chatbot, a store employee, or get a push notification. For example, if a customer leaves a shopping cart online, the system in the store should be able to see that and send them a personalized offer or suggestion.

To make these kinds of experiences possible, data must flow in sync. This means that CRM systems, point-of-sale analytics, and digital engagement tools must all be connected to one intelligence layer. This is where Martech shows its worth: it’s not just a place to store campaign data; it’s also a way to organize real-time context. It connects back-end systems to front-end touchpoints, making sure that every interaction strengthens the brand relationship instead of starting it over.

Personalization is no longer an option on the hybrid journey; it is the standard. Customers see experiences that don’t fit together as a sign that the brand doesn’t care. A single difference between what is promised online and what happens in real life can break trust. To keep things consistent, Martech platforms are changing to become “experience engines,” which are smart frameworks that bring together behavioral, transactional, and environmental data.

c) The Marketer’s Challenge: From Data Collection to Correlation

The fact that modern marketing has so much data is ironic. Brands today don’t lack data; they lack insights. It’s not hard to get information anymore; the hard part is putting it together across channels in ways that show real intent. A click, a visit to the store, and a mobile check-in each tell a part of the story. These pieces are just noise until they come together.

The hybrid customer wants things to be consistent, and that consistency depends on Martech’s ability to connect signals from different ecosystems. This means combining online analytics with offline sensors, CRM profiles with location data, and metrics for social engagement with buying patterns in stores. When these data threads are woven together, the full picture of intent becomes clear.

To meet this demand, marketers are using adaptive Martech architectures that let systems learn on the fly. These systems change all the time based on how customers move through environments. The goal is not only to keep track of what people are doing, but also to figure out how they feel, what motivates them, and what the situation is in real time.

The hybrid customer is the future of engagement: flexible, unpredictable, and very specific to the situation. Standard linear marketing models don’t do a good job of capturing this complexity. As customers move easily between touchpoints, Martech becomes the bridge that turns broken data into living insights that make real connections. Marketers are not just figuring out how hybrid customers act; they are also coming up with the plan for the integrated experience economy of the future.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Integrating Martech Across Physical and Digital Channels

The line between the digital and physical worlds is getting blurrier and blurrier in today’s connected market. Customers want everything to work smoothly, whether they are shopping online, in a store, or through a mobile app.

This convergence requires marketers to rethink their infrastructure so that it can connect broken systems, real-time data streams, and human behavior into one story. This is where marketing technology, or Martech, comes into play.

Modern Martech ecosystems connect different data sources, like IoT sensors, CRM databases, POS systems, and omnichannel analytics, to make a single, flexible picture of each customer. Integrating Martech across both physical and digital channels is no longer just a way to improve operations; it’s the key to giving customers meaningful, context-aware experiences that reflect how they really behave.

The Technological Backbone of Hybrid Experience Design

Brands use a layered technological framework that connects data, context, and customer intent at every touchpoint to create truly hybrid experiences. Three main things that make this possible are:

1. IoT Sensors and Beacons

IoT devices and beacons add real-world context to the digital world. These tools can tell how long customers stay in a store, how close they are to it, and how much they move around. This lets marketers know not only what customers buy, but also how they shop.

Picture a situation where a customer stops near a display shelf. A beacon picks up on their presence, and a connected Martech system sends them a personalized mobile ad for the item they are looking at. This is how technology changes passive observation into active participation.

2. Integrating CRM and POS

Customer Relationship Management (CRM) and Point-of-Sale (POS) systems are the two main parts of unified customer intelligence. When connected through Martech platforms, they make it easy for data to move between online and offline settings.

For instance, if a customer buys something in a store, that information goes straight into their digital profile. This means that future email campaigns or app notifications can show how they have been buying things lately. The result is a brand experience that is the same and makes sense across all channels.

3. Omnichannel Analytics

Click-through rates and store footfall are no longer the only metrics that matter in modern marketing. Instead, omnichannel analytics—powered by Martech—captures and correlates behaviors across web, app, email, and in-store interactions.

Real-time dashboards help marketers spot new trends and respond quickly by changing offers, content, or timing. These analytics engines turn broken data into useful information that guides the design of a complete experience.

How Martech Brings the Journey Together?

Martech is basically a bridge between the physical and digital worlds. It combines data streams into single customer profiles, giving brands a full picture of behavior, intent, and engagement in all settings.

For example, a clothing store with IoT sensors and CRM integration. Beacons pick up on a customer’s presence when they come into the store and link it to their online browsing history. The Martech platform knows that this customer looked at the brand’s mobile app for a certain jacket before. It sends a notification in real time with a personalized discount or styling suggestion, which combines the importance of digital information with the immediacy of in-store shopping.

The same reasoning applies to other areas as well. Dealerships in the automotive industry can use test-drive data and online inquiry forms to send personalized follow-ups. In the hospitality industry, loyalty programs that are connected to Martech ecosystems make sure that a guest’s preferences, like the temperature of their room, the type of food they like, or how they want to check in, are always taken into account, whether they book online or in person.

This smooth data synchronization makes marketing into orchestration. It makes sure that no touchpoint is alone; every message, offer, and experience builds on the one before it, creating a constant conversation between the brand and the customer.

From Campaign Management to Experience Orchestration

Campaign-based marketing was the norm in the past. It was planned, periodic, and unchanging. On the other hand, integrated Martech turns marketing into a living, breathing ecosystem of experiences that change with the customer in real time.

When physical and digital intelligence come together, brands can do more than just send messages. They can also plan full experiences. For instance:

  • When a customer walks into a grocery store, the store can automatically show them digital coupons for things they buy often.
  • Geolocation data can help a hotel brand send a personalized welcome message to a guest as soon as they get close to the lobby.
  • An entertainment company can connect sensors in the venue with online ticket sales to improve the layout of events and keep people interested after the show.

In all of these cases, Martech changes static customer journeys into dynamic interactions. It makes sure that every interaction, whether it’s online or in person, feels the same, relevant, and personal.

The Impact: A New Era of Connected Intelligence

Martech’s ability to combine physical and digital touchpoints is a big change in how brands think about marketing. Companies are moving away from seeing digital and offline as separate areas and toward a “phygital” mindset, which sees every interaction as part of a single, fluid experience.

This combination of data and intelligence results in three major changes:

  • Personalization at Scale: Brands can customize content, offers, and experiences to fit each person’s needs across all channels with unified profiles.
  • Operational Efficiency: Automated systems cut down on manual tasks, giving marketers more time to think about strategy and creativity.
  • Better Brand Loyalty: Consistent, relevant experiences across all channels create stronger emotional ties and trust over time.

As this integration grows, the field of marketing itself changes. Campaigns turn into ongoing engagement, and customer interactions turn into adaptive feedback loops that get better with each interaction.

The Unified Experience Frontier is the end

Martech’s use across both physical and digital channels is more than just a technological advance; it’s a change in the way brands interact with people. Marketers can create experiences that feel human, immediate, and smart by combining sensors, CRM data, and omnichannel analytics into one system.

In the end, Martech lets brands turn disconnected interactions into a single journey where customers don’t see “channels,” only a connection. In this new hybrid world, marketers who know that the future of engagement isn’t about running campaigns but about creating experiences that flow smoothly between the physical and digital worlds, powered by data, empathy, and new ideas, will be the most successful.

Personalization Across Contexts

Personalization isn’t just for screens anymore in the age of hybrid engagement. It goes beyond websites, emails, and social media to include stores, events, and even everyday places.

Today’s consumers want brands to know what they want, no matter where they are, and they want smooth transitions between the digital and physical worlds. To give this kind of smooth experience, you need smart technology that changes based on the situation, the time, and the user’s intent. This is when marketing technology (Martech) becomes necessary.

By combining contextual awareness with behavioral insight, hybrid Martech platforms have changed the way we think about personalization. These systems don’t just look at user profiles or purchase histories.

They look at hybrid data, which is a mix of digital interactions and physical behaviors, to create experiences that feel naturally human. Brands can make every touchpoint relevant in real time by knowing where, when, and how a customer interacts with them.

  • Dynamic Adaptation: Knowing Who, Where, and When?

In the past, marketing saw personalization as a fixed idea. For example, it would address customers by name, suggest similar products, or divide audiences by demographics. But hybrid experiences need more intelligence. Modern Martech platforms go beyond just figuring out “who” to also figure out “where” and “when” people are engaging.

Martech systems create a complete picture of the customer’s journey by looking at data from mobile apps, sensors in stores, GPS signals, and web behavior. This includes both online intent signals, like how people search for things or engage with content, and offline actions, like going to a store or an event.

For example, if a customer who often looks for sneakers online walks into a store, the system can see what they’re doing in real time and change the experience. For example, it might send them a special discount or product suggestion on their phone.

This kind of adaptive personalization makes the gap between insight and action smaller. The system automatically adjusts messaging, timing, and channels based on live context, so marketers don’t have to wait for them to do it by hand. This makes sure that every interaction feels relevant, immediate, and smart.

  • Context-Aware Engagement: Connecting with Customers Where They Are

One of the biggest changes brought about by Martech innovation is context-aware engagement. It’s not enough to just know who the customer is; you also need to know where they are and what they need right now. When someone is browsing at home, on the way to work, or in a store aisle, they might react differently. Martech platforms can now automatically recognize and adjust to these changes in context.

Think about a customer looking at a brand’s app while they are near a store. Using geolocation data, the Martech system finds out how close they are and sends them a notification about an event or limited-time offer in the store. Later, if that customer buys something in the store, the system records the offline transaction and updates their digital profile to change the recommendations that are made to them in the future.

In another case, a person who looks at furniture brands online might get ads for specific items they looked at. When that same customer goes to a physical store, the system recognizes them through the loyalty program and changes the digital signs or sales associate suggestions in the store to fit them.

Because context is now part of the personalization logic, the experience feels natural, like it’s happening all at once instead of in parts. This ability to change how people interact based on their awareness of the situation makes personalization more dynamic. It helps marketers talk to customers not only accurately, but also with understanding, by knowing what matters to them right now.

Example of Hybrid Loyalty in Action

Think about a hybrid loyalty program that smoothly combines online and offline interactions. Martech connects in-store shopping with digital follow-ups for a grocery store chain. When a customer scans their loyalty app at checkout, the system not only records the purchase information but also the location, time, and product preferences of the customer.

Later, Martech analytics sends an automated email with recipes that use the ingredients they bought and digital coupons that can be used on their next visit. The system knows that the customer has added these items to their online cart and changes the recommendations accordingly.

This combination of online and offline engagement does more than get people to buy again; it also builds trust and emotional connection. Customers feel understood because every point of contact, no matter what it is, shows what they like and how they act.

The Takeaway: From Fragmented Moments to Fluid Experiences

The next step in hybrid marketing is personalization across contexts, and Martech is what makes it happen. Brands can connect digital precision with physical presence by using real-time analytics, location data, and behavioral intelligence. This makes sure that every interaction feels useful and on time.

The effect goes beyond conversion rates. In a world where customers’ attention is spread across many channels, contextual personalization builds brand authenticity, encourages loyalty, and deepens engagement.

In the end, hybrid personalization bridges the gap between what you want to do and what you actually do. It turns data into conversation, which lets brands meet customers not only where they are, but also where they want to be. Martech makes it possible for disconnected interactions to turn into continuous journeys, and marketing becomes a living ecosystem that changes with every moment.

In the hybrid world, being everywhere at once won’t help you succeed. Instead, you need to be exactly where your customer needs you at the right time. And that’s what Martech-driven personalization promises: it will be fluid, human, and always in context.

Data Privacy and Ethical Boundaries

As marketing changes into a mix of digital and physical presence, a new level of responsibility comes into play. Martech systems can now track, understand, and act on data that comes from both online and offline settings.

Brands can now see customer journeys like never before, thanks to in-store sensors, mobile apps, geolocation tracking, and social behavior analysis. But having a lot of data also means you have a bigger moral duty. It’s no longer a question of whether Martech can bring together hybrid experiences; it’s a question of whether it can do so safely.

Data is what makes the hybrid customer journey work. But the same information that makes personalization possible can also easily turn into an invasion. Finding the right balance between privacy and innovation is one of the biggest problems in modern marketing.

  • The Rising Risk: Data Everywhere, All the Time

In a hybrid ecosystem, collecting data doesn’t stop at the screen. Martech platforms now use sensors, beacons, CRM systems, and mobile signals to track every step of the customer’s journey. This web of touchpoints gives us amazing information about how customers move through stores, how they interact with brands online, and what makes them decide to buy something.

But being connected all the time comes with some risks. Marketers risk crossing ethical lines that separate meaningful engagement from digital surveillance when every step, click, or glance can be turned into a data point.

People today know a lot more about how their data is used. One mistake, like an overly intrusive notification, a data signal that was misinterpreted, or a data-sharing practice that wasn’t made public, can destroy trust forever. And once trust is gone, no amount of personalization can bring it back.

This is why you need to think about privacy first when you adopt ethical Martech. It’s not just about following the rules; it’s also about keeping the customer’s dignity.

  • The Compliance Imperative: Navigating Global Data Regulations

Modern Martech systems work in a very controlled setting. For example, the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the US set rules for how customer data can be collected, stored, and used.

These frameworks were made to give people more power over their own information. For example, they give people the right to see, change, or delete data that companies have about them. For hybrid marketing, which uses both online and offline data, this means that every integration must be carefully planned to follow those rules.

New data localization standards, which say that data must be kept within a country’s borders, make running a business around the world even harder. A brand that has hybrid stores in Europe, digital operations in the U.S., and analytics centers in Asia needs to make sure that its Martech systems follow the laws in each region while still providing a smooth experience.

This compliance layer isn’t just something you have to do to stay legal; it’s also something you need to do to keep things running smoothly. Brands and martech providers need to work together to make sure that their platforms’ architecture includes things like consent management, data anonymization, and secure data transfers. For hybrid marketing to work in the future, we need systems that can automate compliance without hurting creativity or flexibility.

  • Transparency and Explainable Personalization

Customers want more and more openness from Martech platforms. They want to know not only what data is collected, but also how it is used to make their experiences better. This is where explainable personalization becomes a very important standard.

Explainable personalization means making it clear to users how their data affects recommendations, offers, or messages. For example, if a customer gets a personalized email about sales in the store, they should be able to tell that it was sent because they visited the store before, not because of hidden tracking or guesses.

Top Martech innovators are already adding explainability to their interfaces by giving users dashboards that show how data flows, consent status, and personalization logic. This openness gives customers the confidence to get involved, knowing that doing so will improve their experience instead of taking advantage of it.

Being open also makes people loyal over time. Customers are much more likely to keep interacting across channels when they know what they are getting in return for their data: “I share my data, and in return, I get relevance and convenience.”

Ethical Balance: Relevance Without Surveillance

The core of ethical hybrid marketing is a simple but powerful rule: use data to help, not to trick. Brands are tempted to go too far with personalization to get more people to engage with their content. But when data is used to persuade people instead of to help them, the experience is no longer focused on the customer.

Real personalization must respect users’ freedom and give them power over how they are seen, talked to, and understood.

Responsible Martech platforms help find this balance by:

  • Collecting as little extra data as possible and only what is needed to make things better.
  • Making sure that customers choose to be tracked or profiled by opting in.
  • Giving users control over their own information by making it easy to access and delete data.
  • Including fairness audits that check algorithms or data handling practices for bias regularly.

The ethical basis of future Martech ecosystems will be this balance between new ideas and limits. As AI becomes more important in marketing, ethical governance needs to change along with technical ability.

Redefining Trust in Martech: From Privacy to Partnership

In the end, trust isn’t based on being perfect; it’s based on being honest, responsible, and respectful of each other. Hybrid marketing works not because it knows everything about the customer, but because it uses what it does know well.

The next era of customer engagement will be led by martech systems that build ethical safeguards right into how they work. They will turn privacy from a burden to a competitive edge by showing customers that respect and relevance can go hand in hand.

The future of marketing is not only smart, but also responsible. And in that future, people who see technology as more than just a way to collect data will be the ones who succeed. They will see it as a way to build meaningful, consent-based relationships.

Martech promises that it can connect people, but those connections will only last if they are based on trust.

Conclusion: The Always-On Experience

Static campaigns and isolated touchpoints are no longer what the modern marketing landscape is all about. Instead, it works as a constant, changing flow of engagement, where customers can easily switch between digital and physical spaces. Brands have had to rethink not only how they talk to people, but also how they connect with them. The growth of Martech is similar to this change; it has gone from managing campaigns to orchestrating experiences and from automating to adapting.

In today’s mixed economy, the path a customer takes rarely starts and ends in the same place. A shopper could look at a product on social media, try it out in a store, and then buy it through a mobile app, all in just a few hours. Every one of these steps makes data, shows intent, and changes how people see things. But for years, these interactions were kept in separate places by systems that couldn’t “see” the whole customer journey.

The rise of adaptive Martech systems has changed this way of thinking. Now, marketing platforms are made to track behavior across different environments and combine it into a single, living customer profile. The online and offline worlds, which used to be separate, have come together to form one ongoing story that is personalized for each person.

The “always-on” experience is built on this smooth flow of data and insight. In this state, marketing never really stops; it changes all the time to keep up with the customer’s life and behavior.

Traditional marketing was based on campaigns that started and stopped, with each one carefully planned and carried out on fixed timelines. But in a mixed world, engagement never ends. Marketers can now listen to, analyze, and respond to customer behavior as it happens thanks to adaptive Martech stacks. This is a big change from reactive to proactive marketing.

For instance, an omnichannel retailer can use Martech analytics to find out when a loyal customer walks into a store. This can lead to personalized offers or follow-up experiences that carry over into digital spaces. In the same way, a financial brand could use behavioral data from its mobile app to guess what its customers will need and send them educational or promotional content in real time.

These use cases are more than just new technologies; they show a new way of doing business. The future of marketing will rely on systems that are constantly learning, improving, and in sync with how people act.

Automation makes it easier to grow, but creativity and empathy are still the heart of marketing. The next generation of marketers will not succeed by mastering data alone; they will thrive by integrating creative storytelling with technological acumen. The best Martech tools will let marketers use their imaginations while AI and machine learning take care of the hard parts of execution and optimization.

The moral side of this change is just as important. Martech needs to be more responsible as it gets smarter. Customers want things to be personalized, but they also want things to be clear. Marketers who want to lead the hybrid future will be those who balance new ideas with honesty. They will build systems that respect privacy, explain their logic, and serve customers honestly.

The end goal of “always-on” marketing is not to spy on people or go too far, but to help them. It’s about knowing what people need, making their journeys easier, and making sure that every interaction, online or offline, is useful.

As technology keeps breaking down the lines between the real world and the digital world, Martech will stay at the center of new ways to improve the customer experience. Future Martech stacks will be smart ecosystems that learn from every signal, guess what people want, and change right away when things change. There won’t be any more “campaigns” in marketing in this world. It will be about connections that are real, ongoing, and based on people.

Brands that do well in this time will see every piece of data as a conversation, every touchpoint as an opportunity, and every customer as a partner in creating value. Hence, “In the hybrid era, Martech makes disconnected moments into a single customer experience, whether you’re online, offline, or somewhere in between.”

Marketing Technology News: Martech & the ‘Digital Unconscious’: Unearthing Hidden Consumer Motivations

Ranger MediaLab Introduces Conversion Rate Optimization Package for U.S. Businesses Running Google Ads

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Freeduhm.com Partnered With AdPlunge To Boost Both Brands Digital Advertising Business

Ranger MediaLab, a digital advertising firm specializing in Google Ads management for high-revenue companies, has introduced a dedicated Conversion Rate Optimization (CRO) service to help U.S. businesses increase the return on their ad spend. The new offering is designed to support companies already investing heavily in paid search by improving on-site performance and user experience, two factors that directly affect campaign profitability.

The CRO package comes as part of the business’s broader performance marketing stack, which includes full-service ad account management, copywriting, landing page support, tracking configuration, and AI-driven bid optimization. According to the firm, the new CRO service is geared toward companies already running substantial Google Ads campaigns but struggling to convert paid clicks into measurable revenue.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

If their websites or landing pages aren’t set up to convert that traffic efficiently, they’re leaving serious revenue on the table.”

— Greg Ranger

“Our clients are spending tens or hundreds of thousands of dollars each month on paid traffic,” said Greg Ranger for Ranger MediaLab. “If their websites or landing pages aren’t set up to convert that traffic efficiently, they’re leaving serious revenue on the table.”

As a Google Ads agency, the company works with businesses generating seven or eight figures in annual revenue, many of which are in e-commerce, professional services, or high-ticket local industries. The company emphasizes hands-on management and positions itself as a high-performance partner and not a volume-based ad shop. The CRO package is designed to audit and upgrade the full conversion funnel, from ad creative to call-to-action design, site speed, and analytics setup.

Their CRO offering focuses on maximizing return from existing paid traffic by improving how landing pages and websites convert visitors into leads or customers. The service complements the agency’s Google Ads management by addressing post-click performance, helping clients increase profitability without raising ad spend. CRO is integrated into their broader campaign strategy, which includes ad creative, audience targeting, and real-time optimization through AI tools.

In addition to national campaigns, Ranger MediaLab provides Google local ads services for companies targeting region-specific markets. These services are tailored to businesses that rely on foot traffic, regional branding, or localized lead generation, such as law firms, medical clinics, dealerships, and home services providers. The agency offers full support across local campaign setup, location targeting, Google Business Profile integration, and ongoing performance optimization.

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Builder.io Launches Fusion 1.0 — the First AI Agent for Product, Design, and Code

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Builder.io Launches Fusion 1.0 -- the First AI Agent for Product, Design, and Code

Builder.io announced Fusion 1.0, the first AI agent that connects the entire product development process — from product and design to code — in a single workflow.

In most organizations, product managers write requirements in Jira, designers mock up interfaces in Figma, and developers build them in their IDE. The tools are powerful but isolated — three teams, three tools, three fresh starts. Fusion 1.0 eliminates that fragmentation by letting teams collaborate in real time on the actual product.

AI that speaks design, code, and product

Fusion 1.0 integrates directly with Slack, Jira, Figma, and GitHub so teams can go from idea to production without leaving their stack. Tag @Builder.io in Slack to turn a conversation into a feature request, or assign a Jira ticket to the Builder bot to generate a branch and start implementation.

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Designers can edit in a visual canvas that writes real code using existing components and design tokens, while developers review pull requests that the bot updates intelligently based on feedback.

Fusion’s context engine understands APIs, data sources, and design systems to produce production-ready code from day one. It learns each team’s preferences and patterns over time, getting smarter with every commit. Already, Fusion has turned over 10 million designs and PRDs into production features at some of the world’s largest companies.

“Most AI tools today make individual contributors faster but leave teams disconnected,” said Steve Sewell, CEO of Builder.io. “Fusion 1.0 is different — it lets PMs, designers, and engineers build together in one environment where code is the common language. It’s how software teams finally move from handoffs to collaboration.”

“We’ve done this live in team meetings — people throw out an idea, and we just build it in front of them. What used to take months now happens instantly. Once leadership saw that, they said, ‘We need this everywhere,'” said a UX Design Lead at a global enterprise services company.

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Enterprise-grade from day one

Fusion works with existing stacks, React, component-driven JS frameworks, and custom internal architectures, and includes MCP server support for databases, APIs, and deployment tools like Supabase, Netlify, and Zapier. Granular permissions, role-based access control, and model flexibility (OpenAI, Anthropic, Google) make it ready for enterprise adoption without sacrificing team autonomy.

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Frost & Sullivan Names Basis the 2025 Customer Value Leader for Global Demand-Side Platform Industry

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Frost & Sullivan Names Basis the 2025 Customer Value Leader for Global Demand-Side Platform Industry

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Recognition Demonstrates How Basis Solves Media Fragmentation and Operational Challenges for Customers by Unifying Campaign Lifecycle

Frost & Sullivan named Basis the 2025 Customer Value Leader for the global demand-side platform (DSP) industry. A global business consulting firm providing market research, growth strategy consulting, and corporate training, Frost & Sullivan is recognizing how Basis  solves market fragmentation and operational chaos by unifying the entire media campaign lifecycle. Basis is the industry’s leading advertising automation platform.

The global DSP industry is facing accelerating media fragmentation, where advertisers must now engage consumers across an array of channels, including connected television (CTV), digital-out-of-home (DOOH), streaming audio, podcasts, social media, and traditional search and display. From Frost & Sullivan’s report, “This proliferation creates operational silos, disjointed workflows, and immense difficulty in achieving a unified view of campaign performance… It is no longer sufficient for a DSP to excel in a single channel. Brands and agencies now demand a single, cohesive interface to orchestrate, measure, and optimize cross-channel and cross-device campaigns harmoniously.” Basis helps agencies and brands do more with less to deliver business outcomes faster.

“Basis is redefining what performance and partnership mean in programmatic advertising—simplifying and automating the media journey, embedding powerful AI intelligence and empowering transparency,” said Alaa Saayed, VP of research of digital content services program, Frost & Sullivan. “By combining operational efficiency, measurable ROI, and a deep commitment to customer success, Basis stands out as a true strategic partner driving sustainable growth across the DSP ecosystem.”

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Basis’ AI-powered platform empowers marketers through an integrated suite of modular applications for planning and operations across programmatic, publisher-direct, search, and social channels. Basis delivers a fully integrated environment that automates the most important phases of the campaign lifecycle.

Frost & Sullivan’s Customer Value Leadership Recognition is its top honor and recognizes the market participant that exemplifies visionary innovation, market-leading performance, and unmatched customer care. It applies a rigorous analytical process to evaluate multiple nominees for each recognition category before determining the final recognition recipient.

In its report, Frost & Sullivan highlighted various aspects of how Basis creates customer value:

  • Unifying the Media Journey – Basis centralizes every stage of the process—from planning and execution to financial actualization and analytics—into one environment.
  • Intelligent Performance – Basis analyzes over 30 distinct targeting parameters at the brand level every six hours, creating optimization models tailored to each client’s business.
  • Enduring Partnerships – Basis empowers brands to own their technology stack and historical media data, ensuring that campaign insights are never lost, even during agency transitions.

“Automation is about empowering people to work more effectively by simplifying and streamlining repetitive and complex tasks. Basis’ mission to drive advertising automation unlocks creativity, efficiency and ultimately profitability for our customers,” said Grace Briscoe, EVP of client development, Basis. “Frost & Sullivan’s recognition of Basis is a powerful validation of our role in the advertising ecosystem and underscores the value we have been delivering to marketers for more than two decades.”

Frost & Sullivan Best Practices Recognition
Frost & Sullivan’s Best Practices Recognitions honor companies across regional and global markets that exhibit exceptional achievement and consistent excellence in areas such as leadership, technological innovation, customer experience, and strategic product development. Each recognition is the result of a rigorous analytical process in which Frost & Sullivan industry experts benchmark performance through comprehensive interviews, deep-dive analysis, and extensive secondary research. The goal is to identify true best-in-class organizations that are driving transformative growth and setting new industry standards.

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SiteOne Landscape Supply Partners With Goodway Group To Accelerate Growth

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SiteOne Landscape Supply Partners With Goodway Group To Accelerate Growth

Goodway Group is tasked with expanding SiteOne’s customer share

Goodway Group announced it has been selected by SiteOne Landscape Supply, the largest and only national wholesale distributor of landscape supplies in the United States, as its paid media strategy partner.

SiteOne, at a pivotal point in its evolution, is focused on accelerating growth among professional customers across categories such as hardscapes, agronomics, nursery, irrigation, and lighting. The company sought a partner who could go beyond tactical media buying to architect measurable business outcomes — from brand awareness to revenue growth.

Goodway’s engagement begins with a strategic onboarding and planning phase to establish the foundation for a full-funnel, measurement-driven media program. Goodway Group will unify media, data, and creative into a road map designed to simplify the customer journey, win loyalty, and expand SiteOne’s footprint.

“SiteOne has an ambitious vision for growth,” said Paul Frampton-Calero, CEO of Goodway Group. “We’re excited to help modernize its media strategy, connecting every investment to measurable outcomes and building scalable pathways for B2B audiences.”

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Goodway’s work will span competitive market analysis, budget scenario modeling, and measurement design to ensure SiteOne’s media investments deliver against growth priorities. By putting the customer experience and business impact at the center, the agency is positioned to help SiteOne not only reach audiences but also convert them into lasting relationships.

This partnership represents a milestone in our marketing sophistication journey,” said Erin Edstrom, Vice President of Integrated Marketing at SiteOne. “We were looking for more than a media buyer — we wanted a partner who could align with our vision, challenge our thinking, and create measurable impact. Goodway Group demonstrated that from the start. Its approach to uncovering consumer insights, passion for accountability, and customer-first approach were clear differentiators for us. We have confidence that together we can build and strengthen relationships with our customers.”

This partnership underscores Goodway’s role as a challenger agency for brands that want to transform their media investments into engines of measurable business growth.

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Shirofune Names Direct Agents as a Flagship U.S. Partner to Advance AI-Driven Retail Media Automation

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Shirofune Names Direct Agents as a Flagship U.S. Partner to Advance AI-Driven Retail Media Automation

The collaboration was announced at Amazon Ads unBoxed and marks Shirofune’s U.S. expansion, with Direct Agents serving as a preferred agency partner for brands seeking both automation technology

Shirofune, Japan’s leading digital advertising automation platform, announced a strategic partnership with Direct Agents, an independent growth and performance marketing agency based in New York, Los Angeles, and Austin.

As one of Shirofune’s flagship partners in the U.S., Direct Agents will integrate Shirofune’s AI-driven automation suite into its retail media and e-commerce operations—helping brands achieve faster optimization, smarter budget allocation, and stronger campaign performance across Amazon Ads and beyond.

This collaboration represents a key milestone in Shirofune’s U.S. expansion, bringing the platform’s proven automation technology—trusted by more than 10,000 advertisers in Japan—to American brands and agencies. Direct Agents will also serve as a preferred referral partner for brands and retailers seeking both Shirofune’s technology and managed-service expertise, while Shirofune continues to expand its agency ecosystem across North America.

The partnership was formally announced at Amazon’s Ads unBoxed Conference on November 12 in a presentation entitled, The new frontier in ad optimization: Unlocking long-term value with automation.

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Rocco Baldassare, Head of Business Development, Shirofune and Megan Conahan, Executive Vice President, Direct Agents, discussed how combining Amazon Marketing Cloud’s lifetime value insights with Shirofune’s automated campaign optimization capabilities can transform short-term tactics into evergreen growth strategies. This is especially important in today’s environment, where advertising costs are soaring, campaign complexity is growing, and competition is being intensified.

Delivering measurable operational impact
Through the integration of Shirofune’s automation capabilities—including real-time keyword bidding, dynamic budget reallocation, and continual performance calibration—Direct Agents has achieved significant efficiency improvements with its Amazon Ads operations. Internal benchmarking showed a 27%–47% reduction in ad management time, allowing teams to devote more effort to strategic planning, creative testing, and insight development that drive measurable business growth.

As a Shirofune flagship partner, Direct Agents has developed deep operational expertise in how to maximize the platform’s potential—applying automation not only to streamline campaign management but also to surface new optimization opportunities and performance insights for brands seeking to scale efficiently.

For a household CPG brand, a 12% increase in Amazon media investment led to a 44% lift in attributed revenue, demonstrating how combining Direct Agents’ marketplace expertise and Shirofune’s automated bid governance converts incremental budget into outsized retail impact, without compromising efficiency.

“Our partnership with Shirofune goes far beyond adoption—it’s a collaboration focused on continuous improvement and client success,” said Josh Boaz, Co-Founder and Managing Director of Direct Agents. “We’re always looking to partner with best-in-class technology companies, and with Shirofune, we’re redefining retail media efficiency—accelerating decisions, increasing precision, and driving stronger results for brands.”

“Direct Agents brings the ideal combination of technical sophistication and performance focus that aligns perfectly with Shirofune’s mission,” said Mitsunaga Kikuchi, Founder and CEO of Shirofune. “As a flagship U.S. partner, they are helping us demonstrate what’s possible when automation and human expertise work together. Together, we’re enabling marketers to scale smarter and faster.”

Building an ecosystem of AI-enabled marketing
As part of the partnership, Shirofune and Direct Agents will collaborate on product feedback, advanced feature testing, and educational initiatives for advertisers exploring automation. The alliance underscores Shirofune’s commitment to building a broad, open ecosystem of agencies and marketing partners that leverage automation to improve performance, agility, and long-term value for clients.

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Ahold Delhaize USA Marks Major Omnichannel Milestone, Completes Rollout of Proprietary Digital and E-commerce Platform

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Ahold Delhaize USA Marks Major Omnichannel Milestone, Completes Rollout of Proprietary Digital and E-commerce Platform

Addition of Hannaford to the Platform Completes Multi-Year Rollout, Advancing Omnichannel Growth and Enhancing Customer Experience

Ahold Delhaize USA announced the completion of the rollout of its proprietary digital and e-commerce platform for all five U.S. brands – Food Lion, The GIANT Company, Giant Food, Hannaford and Stop & Shop. This milestone was marked as Hannaford transitioned to the platform this fall. The modern, cloud-based architecture enables the Ahold Delhaize USA brands to collectively serve more than 26 million customers each week.

“This achievement represents the culmination of a journey to create a scalable digital and e-commerce platform that meets the evolving needs of customers and positions Ahold Delhaize USA brands for growth,” said Keith Nicks, Chief Commercial and Digital Officer for Ahold Delhaize USA. “We’re excited now to harness the full potential of the platform to continue to accelerate omnichannel capabilities, deliver more seamless experiences and innovate for the future.”

The completion also comes on the heels of Ahold Delhaize’s announcement of e-commerce profitability. The first brand launched in 2020, and the subsequent rollout included phased implementations across more than 2,000 stores and robust e-commerce businesses, contributing to Ahold Delhaize USA companies’ annual sales of $59 billion. It now powers thousands of daily online orders and digital interactions, supporting the advancement of the company’s Growing Together strategy.

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Developed and managed by in-house technology teams, the platform serves as the foundation of Ahold Delhaize USA’s digital ecosystem, powering e-commerce, digital engagement and personalized customer experiences for each brand, including improved site performance, simplified account management, personalized promotions, a more integrated online ordering and fulfillment experience, and enhanced opportunities in advertising and retail media. The platform also enables faster deployment of new features and efficiency of resources across the Ahold Delhaize USA portfolio.

“Completing the platform rollout across all brands is not just a technology milestone, it’s a business transformation,” added Nicks. “We’re proud of the teams whose collaboration and commitment have made this possible, and we’re energized by the innovation this foundation will continue to unlock.”

With all five brands now on the proprietary platform, Ahold Delhaize USA continues to advance its leadership in digital transformation and omnichannel retail, strengthening its ability to meet customer needs today and innovate for tomorrow’s opportunities.

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Catsy PIM Software Launches AI-Powered Multi-Language Translation

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Catsy Becomes the First PIM to Launch Model Context Protocol Integration (MCP)

Catsy

Catsy launches AI translation for 95+ languages, delivering culturally-aware product content that helps manufacturers scale globally in hours, not months.

Global manufacturers can now generate native-quality product content in 95+ languages with cultural nuances and local market preferences built-in.

Good news for global manufacturers: Catsy has launched its AI-powered multi-language translation engine, making it the only PIM solution that delivers culturally-aware product content across 95+ languages—transforming how industrial companies scale internationally.

Flashback: Export teams juggled expensive translation agencies, inconsistent terminology across markets, and months-long localization cycles. Technical specifications got lost in translation, compliance requirements varied by region, and nobody knew if product descriptions resonated with local buyers.

The big picture: Global expansion requires more than literal translation—it demands cultural intelligence. Catsy’s AI translation engine understands industrial terminology, regional compliance standards, and local market preferences, ensuring your hydraulic pumps sound as compelling in German as your pneumatic cylinders do in Mandarin.

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Global expansion shouldn’t take months of translation delays. Our AI gives manufacturers the cultural intelligence to launch products worldwide simultaneously.”

— Ceejay Teku, Founder & CEO of Catsy

What makes this different from basic translation tools? Catsy’s AI translation delivers culturally-intelligent global content with:
Native-quality accuracy: 98% translation precision for technical specifications and marketing copy
Cultural adaptation: Product descriptions automatically adjust for local market preferences and buying behaviors
Industry-specific terminology: Pre-trained on industrial vocabularies across mechanical, electrical, and chemical sectors
Compliance integration: Automatic adaptation of safety warnings and regulatory information by region
Brand voice consistency: Maintains your company’s tone and messaging across all languages
Instant scalability: Transform your entire product catalog in hours, not months

Between the lines: Generic translation services treat product data like generic text. Catsy’s AI understands that a “ball valve” in Texas needs different positioning than a “ball valve” in Tokyo—same product, different market context, different customer needs.

The impact: Global teams stop waiting months for translation approvals and start launching products worldwide simultaneously. Marketing managers can test new markets without massive localization budgets. Customers get product information that actually makes sense in their language and cultural context.

In the real world: A leading automation components manufacturer used Catsy’s AI translation to enter 12 new European markets in six weeks. “We went from 18-month localization cycles to same-day global launches,” says their international expansion director. “When we launched our new sensor line, our German distributors said the product descriptions sounded more natural than our previous professionally-translated content. Our Italian partners immediately understood the value propositions because they were culturally relevant, not just linguistically correct.”

The technology behind it: Catsy’s AI translation engine leverages advanced neural machine translation trained specifically on industrial product data, technical documentation, and B2B marketing content. Unlike general-purpose translators, the system understands product relationships—when translating “compatible with Series X mounting brackets,” it ensures technical compatibility terms remain consistent across your entire global catalog.

Cultural intelligence built-in: Every translation incorporates market-specific intelligence. Key capabilities include:
Regional adaptation: German customers prefer detailed technical specifications; Japanese buyers value quality certifications; American audiences respond to efficiency benefits
Compliance awareness: Automatically includes required safety warnings, CE markings, and regulatory disclaimers for each target market
Local terminology: Uses regionally-preferred technical terms—”spanner” vs “wrench,” “earth” vs “ground”
Market positioning: Adjusts value propositions based on what drives purchasing decisions in each region

Early adopter thoughts: “We were hesitant about AI translation for our precision instrumentation catalogs,” says a global sales manager at a major measurement equipment manufacturer. “But Catsy’s system understood our technical vocabulary better than human translators who weren’t familiar with our industry. Our French distributors said the product sheets finally explained features the way their customers think about them. Our Japanese partners saw a 60% increase in quote requests because the specifications were presented in their preferred format.”

Translation that actually works: The AI engine pulls directly from your existing Catsy product data, technical specifications, and approved marketing content. No manual translation management, no version control nightmares, no outdated multilingual catalogs. When your product team updates specifications in English, international markets see culturally-adapted content in their local languages within minutes.

The ROI is immediate.

Beyond faster international launches, manufacturers report significant measurable improvements:
85% reduction in translation costs and timelines
73% increase in international lead quality
Better global brand consistency through unified terminology management

Looking ahead: Catsy’s product team is developing predictive localization features that automatically suggest which products to prioritize for specific markets based on regional demand patterns and competitive analysis. Imagine your PIM automatically recommending which hydraulic components to launch in Southeast Asia based on local infrastructure projects and seasonal buying patterns.

Beyond basic translation: Catsy’s AI translation transforms every global market entry:
Comprehensive localization: Create region-specific catalogs with appropriate imagery, certifications, and pricing formats
Dynamic market adaptation: Automatically adjust product positioning based on local competitive landscapes
Proactive compliance: Generate market-specific documentation with required regulatory language and safety warnings

Cultural intelligence that drives sales: Generic translations confuse international customers and hurt conversion rates. Catsy ensures every global product description resonates with local buyers. Your “heavy-duty industrial pump” becomes “hochleistungs industriepumpe für kontinuierlichen betrieb” in Germany—emphasizing the continuous operation that German engineers prioritize, not just literal translation of “heavy-duty.”

Global consistency that builds brands: Transform product knowledge into international revenue opportunities:
Unified terminology: Maintain consistent technical language across all markets while adapting cultural context
Brand voice preservation: Keep your company’s unique positioning and personality intact across languages
Strategic market entry: Turn every product launch into a coordinated global opportunity with simultaneous multilingual availability

By the numbers: Early users achieved measurable international results in their first quarter:
95% improvement in translation speed and accuracy
67% increase in international conversion rates

The bottom line: Catsy transforms your product catalog into a culturally-intelligent global sales weapon that speaks every customer’s language—literally and figuratively.

What’s next: AI-powered translation launches today for all Catsy customers. Global manufacturers ready to scale internationally without translation bottlenecks can explore Catsy PIM & DAM to see how cultural intelligence accelerates their worldwide expansion.

What is Catsy and How it Works?
Catsy is the leading all-in-one Product Information Management (PIM) and Digital Asset Management (DAM) platform designed to help brands, manufacturers, and distributors deliver a consistent, powerful product experience across every channel—and now every language.

At its core, Catsy centralizes product data and digital assets into a single, unified source of truth—eliminating silos, reducing errors, and empowering teams to work smarter globally. Whether it’s technical specifications, marketing descriptions, compliance documentation, or multimedia content, Catsy ensures that every detail is accurate, culturally-appropriate, and ready for any international market.

Here’s how Catsy works:
Centralize – Import all product information and digital assets into one secure, cloud-based platform
Enrich – Enhance product content with detailed attributes, culturally-aware copy, and regionally-appropriate brand assets
Collaborate – Streamline global workflows with automated translation, cultural adaptation, and multi-market approval processes
Distribute – Publish localized product content seamlessly to international eCommerce platforms, regional catalogs, and local distributor portals

The result? Faster global launches, consistent international branding, and a scalable foundation for worldwide omnichannel growth. Catsy PIM DAM isn’t just software – it’s a strategic partner that helps businesses unlock global efficiency, reduce localization costs, and deliver superior product experiences to customers in every corner of the world.

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Cresta Unveils Four Products at Cresta Wave to Unleash the Potential of Human and AI Agents

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Cresta Unveils Four Products at Cresta Wave to Unleash the Potential of Human and AI Agents

New capabilities announced at Cresta Wave give businesses greater reach, control, and confidence as they transform the customer experience with AI

Cresta, the leading customer experience AI platform for human and AI agents, unveiled four major innovations at its first annual customer conference, Cresta Wave, that will define the future of the customer experience center.

Introducing the new capabilities onstage at Cresta Wave in front of an audience of customer and technology leaders from Fortune 500 companies, Cresta CEO Ping Wu outlined Cresta’s vision for the sector’s next chapter.

“AI will create a superhuman customer experience workforce,” said Ping Wu, CEO of Cresta. “Today at Cresta Wave, we revealed four solutions that will unleash the full potential of every agent, both human and AI. Now enterprises can serve any customer, anywhere, with unprecedented control, visibility, and operational confidence, providing a world-class experience every time.”

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The new capabilities include:

Break the Language Barrier: Real-Time Translation & Multilingual AI 
Remove one of the oldest and most challenging obstacles in the customer experience: the language barrier.

Cresta’s Real-Time Translation and multilingual AI capabilities allow businesses to serve any customer, anywhere. Real-Time Translation enables human agents to speak with and understand customers in four different languages, expanding to dozens more in the coming months. Cresta’s AI Agents now speak 30+ languages across voice and chat, removing the frustration customers feel by not being served in their native language. And with multilingual AI Analyst capabilities, Cresta AI Analyst can uncover insights hidden in conversations in 30+ languages.

Empower a Hybrid Workforce: Agent Operations Center
Orchestrate every customer interaction in real time with a new role: the AI Supervisor.

The Agent Operations Center  is the unified command hub for businesses to oversee every live conversation – human or AI-led – from one place. It empowers supervisors with real-time visibility, live guidance, and instant intervention tools, so enterprises can deliver service that’s accurate, compliant, and consistently on brand. The Agent Operations Center creates a new role for AI Supervisors, who can whisper or jump into AI Agent conversations when needed, resolving issues quickly and improving customer satisfaction. The Agent Operations Center creates a symbiotic relationship between humans and AI in one cohesive workforce.

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Know What to Automate Next: Automation Discovery
Take the guesswork out of automation decisions.

Automation Discovery  shows businesses exactly which conversations to automate first, and how to do so. The solution combines analytics on volume, complexity, and resolution into a clear readiness score, alongside projected ROI. The solution maps conversation flows, highlights successful paths and common deviations, and even generates workflow prompts to get companies started on automating with AI Agents. With Cresta Automation Discovery, businesses prioritize AI Agent deployments with confidence, reduce time-to-value, and lay out a clear roadmap for what to automate now and in the future.

Democratize AI Agent Design: Prompt Optimizer
Design AI Agents like a pro.

Cresta’s AI Agent Prompt Optimizer helps enterprises build and refine high-performing AI Agents faster and with confidence. It delivers guided, best-practice recommendations for formatting, coherence, and content, reducing trial-and-error and helping customers reach value sooner. With simple, easy-to-follow guidance, Prompt Optimizer allows anyone, technical or not, to hone AI Agents and improve their performance over time.

Wu added, “Today’s launches are a major step forward toward a customer experience center where humans and AI work together as a hybrid workforce to elevate every conversation, all in one unified platform.”

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Reach3 Insights Promotes Emerging Leaders Across North America

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Reach3 Insights Promotes Emerging Leaders Across North America

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Promotions highlight the company’s investment in talent and expansion across key industries

Reach3 Insights, a full-service insights consultancy that is pioneering AI-accelerated, conversational research methods, nannounced a series of promotions across its North American offices, recognizing the internal talent driving the company’s growth and innovation in immersive mobile chat-based, conversational research.

The promotions include:
– Mackenzie Hollister, Vice President, Chicago
– Bre Armstrong, Vice President, Financial Services & Technology
– Charlie Newport-Tucker, Senior Research Consultant, Toronto
– Jordi Castelli, Research Consultant, Financial Services & Technology
– Emma Ruedisueli, Senior Research Associate, Chicago
– Carly Miller, Senior Research Associate, Chicago
– Kaeli Papoff, Senior Research Associate, Toronto

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Our people are the foundation of everything we do. They bring together empathy, analytical rigor and methodological creativity to help our clients to better understand real human experiences…”

— Matt Kleinschmit, CEO of Reach3 Insights

“These promotions reflect the incredible depth of skill and passion across all aspects of our business,” said Matt Kleinschmit, CEO of Reach3 Insights. “At Reach3, our people are the foundation of everything we do. They bring together empathy, analytical rigor and methodological creativity to help our clients to better understand real human experiences in a changing world.”

This new batch of promotions reflect Reach3’s growth in key industries, including financial services, consumer goods, technology, entertainment, healthcare and pharma. It’s driven by the increasing adoption of AI-accelerated, conversational techniques, which Reach3 (along with its sibling companies Rival Technologies and Angus Reid Group) has pioneered over the past seven years. Recent research-on-research shows that this modern, immersive method of capturing feedback increases engagement across all age groups and captures up to 8x richer insights.

As Reach3 continues to grow, the company is expanding its reach with multinational clients and technology-fueled global research capabilities, while maintaining a culture built on collaboration, curiosity and innovation.

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TeleVoIPs Announces Full Verizon Network Support for Branded Caller ID

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TeleVoIPs Announces Full Verizon Network Support for Branded Caller ID

Now Available on Verizon and T-Mobile Networks!

TeleVoIPs is thrilled to announce that Verizon’s wireless network now fully supports Branded Caller ID, marking a major milestone in helping businesses connect with customers more effectively and securely.

TeleVoIPs customers can now display their verified business name, logo, and call reason on mobile devices when calling Verizon subscribers. With branded identity displayed alongside the call, businesses can stand out from spam and robocalls, ensuring their important calls are recognized, trusted, and answered.

Branded Caller ID is available now for all TeleVoIPs business customers.

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Branded Caller ID: A Smarter Way to Build Trust

Branded Caller ID, powered by TeleVoIPs, enhances credibility, consistency, and customer confidence while improving answer rates for sales, service, and support teams. When paired with STIR/SHAKEN call authentication, AI-powered call summaries, and CRM integrations, TeleVoIPs continues to lead the industry in modern, transparent, and customer-first communication solutions.

Why It Matters

Builds trust: Verified business calls stand out from spam and scams.
Boosts answer rates: Customers are more likely to answer calls they recognize.
Enhances brand consistency and customer confidence: Display your business name, logo, and reason for calling exactly as intended.
Available to more users: Verizon and T-Mobile now support Branded Caller ID.

“With Verizon’s full support, we’re thrilled to expand branded calling coverage nationwide,” said Grant Baxley, CEO at TeleVoIPs. “This gives our customers another powerful way to ensure their calls are trusted, recognized, and answered.”

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The Power of Conversation: How Modern Advertising Sparks Engagement and Community Connection

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BestStartupStory Receives Social Media Advertising License from the National Media Authority of the United Arab Emirates

In fast-moving digital world, attention spans have become the new currency. Brands across every industry are searching for ways to stand out—not through louder messaging, but through smarter storytelling. The new goal isn’t just visibility; it’s conversation. Modern advertising thrives when people start talking, tagging, and sharing.

This shift toward engagement-based marketing has transformed the landscape. Traditional ads once measured success by impressions and clicks, but today’s campaigns are judged by how often they spark interaction. When an ad inspires a conversation, it does more than sell a product—it creates a sense of community around the message.

The Evolution of Attention

The digital era has redefined what it means to “get noticed.” With thousands of ads competing for a single moment of attention, the audience’s first instinct is often to scroll right past. But when an advertisement strikes the right emotional chord—whether through humor, nostalgia, or curiosity—it interrupts that scroll.

Instead of being forgotten, the message becomes part of an online exchange. People tag their friends, make jokes, or share personal experiences related to the ad. In a matter of hours, a local message can reach far beyond its original audience through simple conversation.

The most powerful ads don’t scream for attention—they whisper something people can’t stop repeating. The goal isn’t just to reach the audience; it’s to make them part of the story”

— Brett Thomas

The magic lies in the psychology of participation. When people discuss something, they begin to take ownership of the message. That personal investment transforms the ad from a broadcast into a shared experience.

The “Talk Factor”

Advertising that causes conversation doesn’t rely on complex data analytics alone. It’s rooted in a timeless principle: people love to share things that make them feel something.

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A well-crafted campaign doesn’t just tell an audience what to think—it invites them to respond. That might mean asking a question, making a bold statement, or even creating a funny twist on everyday life. The best ads give people something to talk about at the coffee shop, in the car, or online with a quick “Did you see this?”

Brett Thomas, owner of Jambalaya Marketing in New Orleans, Louisiana, explains it simply:

“The most powerful ads don’t scream for attention—they whisper something people can’t stop repeating. The goal isn’t just to reach the audience; it’s to make them part of the story.”

According to Thomas, the success of any campaign in 2025 is measured not by clicks, but by chatter. “If people are tagging their friends or debating in the comments, that ad is alive,” he adds.

Building Content that Travels

The secret to shareable content isn’t necessarily humor or shock value—it’s relatability. Campaigns that capture a universal truth or everyday frustration often gain traction faster than high-budget productions.

An example can be found in local culture marketing, where community pride and inside jokes become creative fuel. A funny reference to potholes, weather, or neighborhood quirks can go viral because it feels personal.

Even major national brands are now leaning into this local-first approach, tailoring messages to specific regions or cultural identities. The goal is connection, not just exposure.

The Tag Effect

Tagging has become one of the most powerful organic growth tools in modern marketing. When someone tags a friend in a post or comment, the algorithm treats it as an endorsement. That one simple action expands reach, builds relevance, and deepens audience trust.

For small businesses, this kind of engagement often outperforms paid advertising. A post that gets people talking generates momentum that no algorithm update can suppress. Every comment, reaction, and share acts as a micro-referral—a modern version of word-of-mouth advertising, amplified by social media platforms.

The Role of Humor and Humanity

Humor remains one of the most effective tools for sparking conversation. When an ad makes people laugh, it lowers defenses and encourages participation. But humor alone isn’t enough—it has to be grounded in authenticity.

Audiences are increasingly savvy about what feels forced or corporate. The most successful advertising in 2025 embraces imperfection. It might include a typo that becomes an inside joke, a video filmed on a phone instead of a studio, or a real employee featured instead of an actor. These human touches remind viewers that there’s a real story—and real people—behind the message.

Technology Meets Authenticity

Artificial intelligence, data analytics, and predictive algorithms now play major roles in identifying audience behavior. Yet even the most advanced systems can’t fabricate genuine connection.

The next generation of marketing isn’t about automation—it’s about amplification. Technology helps deliver messages faster, but conversation keeps them alive longer. A clever caption, an honest confession, or a witty visual punchline can still outperform the most expensive ad buy when it resonates emotionally.

Thomas points out that the creative process itself is evolving. “The best campaigns aren’t designed for perfection—they’re designed for participation,” he notes. “The goal is to start a conversation, not end it.”

Conversation as Currency

In a world where engagement equals visibility, conversation is now the most valuable form of digital currency. Every tag, comment, and reply increases reach without increasing cost.

Brands that understand this dynamic are designing ads that act like social magnets—content that naturally attracts interaction instead of demanding it. Whether it’s a funny local video, a bold opinion, or a visually striking graphic, the principle remains the same: when people talk, the message spreads.

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FieldEquip Introduces AI to Field Service Management with Launch of “FieldNote AI”

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New intelligent agent helps field technicians instantly create professional work notes, saving hours in documentation time.

FieldEquip, a leading provider of field service management software for various industries such as oil & gas, industrial & mechanical services, announced the launch of FieldEquip AI, a new artificial intelligence framework designed to bring intelligence and automation to every part of field operations. The company’s first AI-driven agent, FieldNote AI, enables field technicians to automatically generate descriptive and professional job notes directly from the field — significantly reducing administrative burden and improving documentation accuracy.

“FieldNote AI represents a major leap forward in how field technicians capture and communicate work performed in the field,” said Dr. Prat Gupta, Founder & CEO of FieldEquip. “By using AI to generate professional field reports from short notes or voice inputs, we’re helping technicians focus more on the work that matters — and less on typing notes at the end of a long day.”

AI-Powered Productivity in the Field

FieldNote AI is built directly into the FieldEquip platform and uses advanced natural large language generation models augmented by organization’s internal knowledge base and industry-specific service data. The agent listens to technician inputs — whether typed or spoken — and instantly produces structured, polished work notes suitable for internal records and customer reports.

We expect early adoption to reduce note- taking time by 50-60%, with improved consistency across teams and faster turnaround of customer-facing documentation.

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Expanding the FieldEquip AI Platform

The launch of FieldNote AI marks the first in a planned suite of AI agents that will enhance different aspects of field service management, including scheduling, diagnostics, and preventive maintenance.

“Our vision with FieldEquip AI is to create an ecosystem of intelligent assistants that support every role — technicians, dispatchers, and managers alike,” said John Tarascio, Consulting Partner at FieldEquip. “FieldNote AI is just the beginning of a powerful evolution toward smarter, data-driven field service.”

Designed for Industrial Service Sectors

FieldEquip AI serves industries where precision, safety, and timely reporting are critical — including oil & gas, energy, equipment rental, utilities, and industrial maintenance. The integration of AI technology helps companies standardize documentation, improve compliance, and deliver a higher level of service transparency to customers.

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Introducing Ironclad’s Next Wave of AI Agents: Every Agreement is Now an Asset

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Introducing Ironclad's Next Wave of AI Agents: Every Agreement is Now an Asset

Under new Chief Technology Officer Sunita Verma, Ironclad bolsters AI vision and accelerates roadmap with Conversational Search and new specialized agents for contract intake and redlining

Ironclad, the leading AI contract lifecycle management (CLM) platform, announced early access to its next generation of AI technology. These latest releases advance Ironclad’s broader vision and approach to artificial intelligence: transforming static contracts into active assets through a unified network of intelligent agents, assistants, and AI-enabled features.

This announcement comes three months after the appointment of longtime Google veteran Sunita Verma as Chief Technology Officer. Bringing nearly two decades of experience in applications of AI in the enterprise, Verma has accelerated investment in Ironclad’s AI vision to create agentic workflows that can reason, coordinate, and act – all built on Ironclad’s secure, multi-model architecture.

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Available today as part of an early access program, the latest product innovations utilize AI to accelerate contracting, surface information instantly, and deliver actionable insights. The three new releases allow Ironclad users to:

  • Eliminate tedious data entry and prevent costly errors when launching contract workflows: Ironclad’s Intake Agent automatically extracts metadata from third-party contracts and assists users with filling out launch forms to accelerate contract intake and ensure accuracy from the start.
  • Speed up first-pass redlining and scale compliance: The new Redlining Agent joins the existing family of agents powering Ironclad’s commercial legal AI assistant, Jurist, to propose redlines aligned to an organization’s playbooks.
  • Surface information and insights buried within existing contracts: Conversational Search allows users to ask questions of their contracts and get instant answers through a simple natural language search within Ironclad Repository.

These new solutions add to the existing family of agents within Ironclad, including:

  • Manager Agent: Routes and manages tasks across Ironclad’s family of AI agents to orchestrate workflows based on user prompts.
  • Review Agent: Identifies missing clauses, risky terms, and compliance gaps in contracts to reduce manual workloads and accelerate risk assessments.
  • Drafting Agent: Generates company playbooks, first-pass contract redlines, and email drafts from natural language prompts to streamline collaboration across teams.
  • Editing Agent: Suggests edits, flags inconsistencies, and applies standardized language to ensure compliance and faster contract updates.
  • Research Agent: Produces comprehensive research memos with Bluebook citations across 60+ verified legal databases to deliver accurate, authoritative information in real time.

“I’ve been working on AI – including enterprise applications of artificial intelligence – for nearly 20 years, and contracts are, hands down, one of the best use cases for AI in business,” said Sunita Verma, Ironclad’s new Chief Technology Officer. “Contracts are packed with immensely valuable unstructured data. With assistive and agentic AI, we are turning that passive content into active assets for the business enabling them to take meaningful action at exactly the right moment.”

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As AES accelerates its use of AI across its businesses, the Legal team leverages Ironclad’s Jurist to support that journey

The AES Corporation , a Fortune 500 global energy company, is integrating AI to increase operational efficiency, unlock new business opportunities, and deliver smarter, more sustainable solutions for customers. Within Legal, AI tools like Ironclad’s Jurist are helping streamline workflows and enhance impact, without compromising quality.

“We needed a tool that would allow us to interact with contracts using natural language prompts. Jurist has become an essential part of our toolkit. We use it to analyze contracts, summarize key terms, and especially to support redlining, which is one of our favorite features,” said Raquel Rodriguez, Assistant General Counsel for Technology at AES. “In our experience, other tools have not delivered the same quality in first-draft redlines based on instructions or precedents. Jurist supplements that function extremely well, helping us work faster, more efficiently, and increase the impact of our team.”

“Our philosophy is that AI will be everywhere our customers need it, whether in Jurist, our advanced legal assistant, or within our core CLM platform,” said Ironclad CEO Dan Springer. “When we launched our first wave of agents, it was just the beginning – those early learnings have shaped the next wave of innovation for Ironclad. We’re excited to continue giving our customers the power to reduce manual work, provide better insights, and drive more impact.”

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Docusign Launches Free Templates to Jump-Start Contracts

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Docusign Launches Free Templates to Jump-Start Contracts

New collection of 40 customizable contract templates to help small businesses create and send agreements in minutes

Docusign announced the launch of the Docusign Template Gallery, a new library of ready-to-use agreement templates designed to help individuals and businesses start and send some of the most frequently used contracts.

A faster start for every agreement
The Docusign Template Gallery speeds up the process of creating agreements by providing a library of pre-built templates for high-value, frequently used agreements, such as residential and commercial leases, purchase orders, offer letters, NDAs, Scope of Work agreements, and more.  With the new Template Gallery, people can:

  • Preview templates instantly on Docusign’s website
  • Open and edit them directly in Docusign using an existing account or free trial
  • Customize and send agreements for signature in minutes

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Built with expertise derived from Docusign’s product, legal and design teams, the Template Gallery offers a trusted, time-saving way to draft and send agreements. Today, many businesses and teams still rely on an unreliable patchwork of solutions — stitching together past contracts or turning to generic AI tools that can’t guarantee accuracy or data security.

According to the U.S. Chamber of Commerce, 58 percent of small businesses reported using generative AI in 2025—up from 40 percent in 2024. Yet, a Docusign survey of 1,200 working professionals found that 78 percent believe AI tools need specialized contract-domain expertise to support legal decisions, and nearly 71 percent trust a dedicated enterprise contract AI solution over a general-purpose model for handling agreements.

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Expert-designed, built for real-world use
Developed with feedback from experts, each template follows legal best practices while remaining easily adaptable for each user’s specific needs. The templates are fully integrated into the Docusign platform, allowing users to quickly add fields and clauses.

“Individuals and businesses everywhere want to save time and move quickly on agreement creation, but shortcuts from generic AI tools introduce risk and the possibility of errors and inconsistencies,” said Peter Seeger, VP and Deputy General Counsel at Docusign. “Our Template Gallery is purpose-built to provide trusted templates to users that want speed and confidence at the same time.”

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SOCi Ushers in the Era of the Agentic Workforce, Reaching 150,000 AI Agents Deployed and Completing 10 Million Local Marketing Tasks

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SOCi Ushers in the Era of the Agentic Workforce, Reaching 150,000 AI Agents Deployed and Completing 10 Million Local Marketing Tasks

Autonomous Genius Agents™ deliver 750,000 hours of real marketing work, helping brands show up, engage, and grow revenue across every location

SOCi Inc., the leading provider of agentic workforce solutions for multi-location enterprises, announced a major milestone, reaching more than 150,000 SOCi Genius Agents™ deployed that have now completed over 10 million local marketing tasks. SOCi’s Genius Agents have saved the enterprises they serve an estimated 750,000 hours of manual work, and helped them recapture nearly $2 billion in annualized local marketing value through improved visibility, engagement, and reputation performance.

Recognized by Fast Company as one of the World’s Most Innovative Companies, SOCi has reinforced its leadership as the premier Agentic AI platform in marketing, where AI doesn’t just assist humans, it does the work for them.

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The Evolution of AI: From Tools to an Agentic Workforce

Traditional AI tools generate insights or content but still require marketers to act. SOCi’s Agentic AI changes that. Its Genius Agents™ — including the Genius Search Agent, Genius Reputation Agent, and Genius Social Agent — are agentic workers trained on each brand’s voice, compliance rules, and local nuances.

Once trained, Genius Agents are cloned and deployed to every business location, handling critical but often-neglected local marketing tasks such as responding to reviews, publishing local posts, and optimizing search visibility. This work directly influences whether a brand appears in local search results or gets overlooked.

“Traditional AI is a tool that humans use to help them write or analyze better. Our Agents are autonomous; they execute even when the human isn’t logged in,” said Afif Khoury, CEO of SOCi. “Genius Agents deliver work at scale, turning what used to be missed moments into measurable business growth.”

Scale and Impact: 150,000 Agents Working for 500+ Brands

SOCi’s Genius Agents are now active across more than 500 multi-location enterprise brands spanning dozens of industries like retail, restaurant, financial services, healthcare and more. Recent examples include:

  • A top-three QSR brand deploying 20,000+ brand-trained Genius Agents to respond to customer reviews in real time.

  • A leading global beauty brand launched 6,000+ Genius Agents to optimize local search and social engagement.

Together, these deployments are reshaping how brands operate, truly scaling the strategy, creativity, and innovation of the human marketer to every location and customer.

“SOCi Genius lets us do more with less,” said Ashley Huebner, Marketing Director at NTY Franchise System. “It’s transformed our marketing from fragmented and manual to consistent and impactful — especially at the local level.”

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Closing the $54 Billion Local Marketing Gap

SOCi’s Local Visibility Index (LVI) research reveals that brands miss out on $54.1 billion annually due to poor local optimization and lack of engagement on search and social platforms. There’s simply too many tasks to do, and not enough resources or time to do them. As a result:

  • Over 50% of reviews go unanswered.
  • Nearly 90% of social comments never receive a response.

These missed interactions directly impact rankings in both traditional and AI-powered search results. SOCi’s Genius Agents form an agentic workforce that closes this execution gap, delivering the everyday marketing work that drives visibility, customer trust, and revenue.

But it’s more than just execution; Genius Agents are delivering measurable ROI across every channel. By responding to over three million reviews annually, optimizing two million search profiles, and managing millions of local social actions, Genius Agents have helped brands recapture nearly $2 billion in annualized value, including an estimated $270 million from improved reputation, approximately $1.2 billion from search visibility gains, and more than $500 million in recovered social media value.

“Ten million tasks completed means ten million times our customers showed up accurately, engaged authentically, and grew stronger relationships,” said Khoury. “And we’re just getting started.”

The Future of Marketing Execution Is Here

As AI reshapes consumer discovery across search, social, and generative platforms, SOCi’s agentic AI model gives brands a workforce that’s trained, governed, and ready to execute.

With 150,000 Genius Agents and growing rapidly, SOCi is redefining what it means to scale autonomous, on-brand, and outcome-driven marketing execution at every location.

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GoDaddy Brings Agentic AI to Small Businesses with Launch of Airo.ai

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GoDaddy Brings Agentic AI to Small Businesses with Launch of Airo.ai

Built to produce results from a single chat

GoDaddy launched Airo.ai, a Beta agentic artificial intelligence (AI) website and experience that turns a simple conversation into completed tasks for small businesses.

A business owner provides direction and Airo.ai infers the goal. It uses reason to plan and act across GoDaddy products and trusted services. Built on an extensible agent framework and GoDaddy’s proprietary data, it keeps improving through automated evaluations and human review. From proposing a business idea and registering a domain to building and publishing a Website Builder site, generating a logo, drafting policy templates, and even spinning up a hosted app, Airo.ai moves customers from intent to outcomes in minutes. Six agents are available at launch, with dozens more in development and new capabilities shipping weekly. To give it a try, visit Airo.ai.

“Small business owners do not want to master a tech stack; they want outcomes that help them start and grow their business,” said GoDaddy Chief Business Officer Gourav Pani. “GoDaddy Airo’s powerful agentic AI capabilities drastically reduces the usual weeks of setup time by handling multiple business tasks simultaneously, all through simple conversation.”

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How Airo.ai works

Airo.ai uses proprietary data based on GoDaddy’s nearly 30 years of experience helping tens of millions of small businesses. The benefit of the Airo Agent is that it keeps the conversation in context, evaluates goals in real time and behind the scenes hands work to the best specialized agent to get the job done quickly.

The first six agents are:

  • Airo Agent — Orchestrates requests end-to-end: remembers businesses’ preferences over time, proposes step-by-step plans, delegates tasks to other trusted, specialized agents, tracks progress, and requests approval for significant actions (registering a domain or publishing a website, for example).
  • Airo App Builder — Converts a plain-language description into working web-apps hosted on GoDaddy. Generates web pages and components, wires forms, basic data storage, and common integrations—then deploys and returns a live URL.
  • Compliance Agent — Drafts tailored Privacy Policies and Terms of Service based on business type and location, produces editable documents, and inserts them into the site. Outputs are templates; independent legal review is recommended.
  • Domain Search and Registration Agent — Suggests brandable business names aligned to the user’s idea and voice, checks availability across popular TLDs, reserves the selected domain, and configures it for the site automatically.
  • Website Builder Agent — Builds and customizes GoDaddy Website Builder sites by selecting an on-brand theme and palette, generating or importing copy and images, setting up core pages (Home, About, Contact, Policies), enabling ecommerce or bookings, and configuring basic SEO settings.
  • Logo Agent — Generates brand-ready logo options with color, typography, and usage guidance, exports to common formats (including vector), and applies the chosen logo across the site and social media profiles.

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Built to incorporate new specialized agents, fast
Airo.ai’s modular architecture allows GoDaddy to rapidly create new specialized agents as trends or business needs evolve. New agents are rapidly developed and launched, ensuring small businesses have access to the latest tools and capabilities.

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Workshop Debuts Four New AI Features, Positioning Itself as the Clear Leader in AI for Internal Communications

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Workshop Debuts Four New AI Features, Positioning Itself as the Clear Leader in AI for Internal Communications

Workshop, the internal communications platform used by more than 600 organizations, announced four new AI features that mark a major step forward for the fast-growing category of AI for internal communications — a space largely overlooked by mainstream AI tools despite representing billions of messages sent inside companies every year.

With today’s launch, Workshop becomes one of the first platforms to use AI not just to write internal content, but to streamline the entire workflow behind it — from drafting and design to searching, summarizing, and analyzing employee engagement.

Combined under the evolving umbrella of Workshop AI, these new capabilities represent one of the industry’s most comprehensive, purpose-built applications of artificial intelligence for internal communications teams.

“Most companies spend more time communicating with their employees than with their customers — yet almost no one is building AI tools specifically for that work,” said Rick Knudtson, Workshop CEO & Co-Founder. “Internal comms deserves its own AI moment. These new features are another step toward giving communicators tools designed just for them.”

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Four new features reshaping AI for internal comms

1. Full-message drafting inside Workshop’s editor

Internal comms teams can generate complete messages tailored to their tone, audience, and use case from right within the email editor. (Plus, you can generate subject lines and translate your emails in just a click, as well!)

2. Instant AI image generation

Communicators can create on-brand graphics simply by describing what they need, removing one of the biggest bottlenecks in visual internal storytelling.

3. AI semantic search for media and past campaigns

Instead of exact file names, Workshop AI understands intent — surfacing the right asset even if all you remember is “that one photo of the CEO with a bunch of balloons.”

4. Plain-language performance insights

Workshop AI translates campaign analytics into quick summaries written like an analyst’s report, eliminating spreadsheets and manual reporting (and they’re perfect for sharing with execs).

All four features are available today, with no setup required.

The releases fall under the company’s evolving umbrella of Workshop AI — a long-term strategy to help internal communicators work with more clarity, speed, and confidence. Though the name is new, the approach isn’t: AI has quietly shaped Workshop’s product for years, powering writing assistance, translations, analytics summaries, and everyday workflow shortcuts.

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Why AI for internal communications is an underserved opportunity

Internal communications teams face growing expectations: more updates, more channels, more visibility into impact. The work is high-volume, high-context, and often repetitive — making it a natural fit for AI.

Yet almost all major AI advancements have focused on marketing, sales, or engineering — not the communications discipline that reaches every employee, every week.

“Internal comms has always been high impact and high volume — the perfect environment for AI to genuinely help,” said Jamie Bell, Chief Marketing Officer at Workshop. “But communicators need AI that understands trust, tone, and context. That’s what we’re building.”

Workshop AI is designed to meet that moment, grounding its capabilities in three core pillars:

  • Content generation to move from blank page to polished message faster.
  • Data insights to help teams understand what’s resonating and why.
  • Workflow magic to quietly simplify recurring tasks throughout the day.

With more than 250 million employee messages sent through the platform to date, Workshop has one of the industry’s most robust data sets for understanding communication patterns, informing how Workshop AI continues to evolve.

Where Workshop AI is headed

Workshop is already developing additional capabilities across content, insights, and workflow, including:

  • Conversational analytics that help teams explore engagement data through natural questions.
  • The Workshop AI agent, a creative partner for building entire emails or pages from idea to completion.
  • Predictive insights that identify email fatigue or content saturation before they impact engagement.

These future releases build on Workshop’s commitment to making internal communications simpler, smarter, and more strategic.

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Dynatrace Announces New Cloud Operations Solution for Microsoft Azure

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Provides customers with comprehensive visibility into their Azure environments, enabling automatic remediation, prevention, and optimization

Dynatrace,  the leading AI-powered observability platform, announced its next-generation cloud operations solution for Microsoft Azure. The solution introduces several new AI observability enhancements to cloud-native operations and is now in preview.

This new solution is purpose-built to empower platform teams to proactively manage cloud-native operations with unprecedented clarity and control. By providing comprehensive visibility into customers’ Azure environments, the experience aims to deliver deeper observability, helping customers prevent issues, remediate with ease, and optimize at scale.

As part of Microsoft Ignite, Dynatrace is showcasing how its platform powers Agentic and Generative AI initiatives in the Microsoft Azure cloud. By delivering AI-driven insights and automation, Dynatrace helps organizations eliminate complexity, accelerate cloud adoption, and enhance performance across their Microsoft ecosystem.

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Key enhancements of the new cloud solution include:

  • Comprehensive Visibility: Enables teams to gain deeper insight into cloud environments through expanded telemetry and metadata, supporting Agentic and Generative AI initiatives with seamless integration across Azure services.
  • Auto-Prevention: Proactive detection and prevention of emerging risks with ready-made health alerts, warning signals, and custom alert templates, empowering teams to proactively address issues in cloud-native workloads running on Azure Kubernetes or AI Foundry services.
  • Auto-Remediation: Intelligent automation helps address issues as they arise, reducing the likelihood of impact on end-users, whether workloads run on Azure Virtual Machines or Azure Functions.
  • Auto-Optimization: Continuous assessment and analysis of cloud resource utilization to enable optimal performance and cost efficiency.

“With the updated cloud solution from Dynatrace, we are setting a new standard for cloud operations,” said Steve Tack, Chief Product Officer at Dynatrace. “By delivering a best-in-class solution that provides customers with complete visibility into their Azure environments, we are helping them move closer to fully autonomous operations. We remain committed to empowering our customers to do more with less, enabling them to drive innovation in the cloud while maintaining visibility and control over increasing complexity.”

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“We’re pleased to collaborate with Dynatrace to bring the powerful Dynatrace AI engine and advanced observability capabilities to Microsoft Azure customers,” said Heather Deggans, Vice President, Americas SDC Sales at Microsoft. “By integrating these innovations with Azure, we believe organizations can accelerate their cloud transformation, simplify operations, and achieve new levels of performance and reliability. This partnership will help empower our customers to fully leverage cloud and AI to drive meaningful business outcomes.”

At Microsoft Ignite, Dynatrace will demonstrate how its platform empowers Agentic and Generative AI initiatives in Azure, helping organizations accelerate innovation and optimize performance through AI-driven automation. The preview for the new Dynatrace cloud operations solution is active now, with broader availability planned for early 2026. Existing customers interested in early access are invited to register for the preview here and help shape the future of cloud operations.

Visit Dynatrace at Microsoft Ignite at booth 5438 to request a demo or join Dynatrace Quest to meet with an expert.

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