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impact.com and Evertune Partnership Helps Brands Influence AI Search Results, Supported by Strategic impact.com Investment

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ConvergeHub Launches Partner Program to Help Affiliates and Solution Providers Earn Recurring Revenue

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Brands can activate partnerships directly with the content creators that are shaping AI search recommendations through impact.com and Evertune’s Partner Connect

impact.com, the world’s leading and largest commerce partnership marketing platform, and Evertune, a pioneer in Generative Engine Optimization (GEO) and AI marketing, announced a partnership to give brands a clear view into how they appear in AI-generated search results, and a way to act on those insights. The partnership showcases AI search visibility metrics within impact.com, along with built-in partnership activation, showing brands how Large Language Models (LLMs) reference them and which creators and publishers most influence those recommendations.

“This partnership moves performance marketing beyond the click into the realm of insights and authority,” said David A. Yovanno, CEO of impact.com.

Within Evertune’s platform, customers can seamlessly activate content partnerships through impact.com via Evertune’s newly launched Partner Connect, a marketplace that enables marketers to act on AI visibility insights by distributing content across the sources that influence AI recommendations. As part of this collaboration, impact.com will also make a strategic investment in Evertune, reinforcing the companies’ shared commitment to shaping the future of AI-powered commerce discovery.

As consumers increasingly turn to ChatGPT, Gemini, and Google’s AI Overviews for shopping guidance, AI-generated answers are competing directly with traditional search. Adobe reports that traffic to U.S. retail sites driven by generative AI sources surged 4,700% year-over-year as of July 2025, outpacing traditional online shopping growth and highlighting the rapid influence of AI-powered recommendations on consumer behavior. Because LLMs heavily rely on trusted, authentic content, such as in-depth reviews, comparisons, tutorials, and expert perspectives, the output of creators and other affiliate commerce publishers has become increasingly more influential in shaping product recommendations.

Through this new partnership, Evertune’s AI Brand Monitoring reports are now integrated directly into impact.com’s platform for select customers. Additionally, impact.com has created an activation capability, allowing brands to form partnerships with the commerce creators and publishers that are identified by Evertune’s Content Analytics. This connection between AI insight and partnership activation is an industry first.

“This partnership moves performance marketing beyond the click into the realm of insights and authority,” said David A. Yovanno, CEO of impact.com. “It not only gives brands and publishers clear visibility across the LLM ecosystem, but also provides them with strategic activation capabilities to act on that intelligence. It’s a major step toward helping our customers shape and monetize the next era of commerce search.”

Available to select impact.com customers, brands can finally see:

  • AI Brand Score: Measures how likely an AI model is to recommend a brand when the brand isn’t mentioned in the prompt. The score reflects both how often the brand appears in AI answers and where it ranks within those responses, giving companies an easy way to benchmark their visibility against competitors.
  • Domain Mentions: Breaks down which publisher and creator domains AI models include as a source most often in a given category. This enables brands to identify the sources that carry the most influence in AI recommendations and prioritize partnerships with the creators and publishers that shape their visibility.

These insights give brands a real-time understanding of how they show up in AI answers and which authentic, community voices like creators, reviewers, and commerce publishers, are shaping consumer recommendations. As AI becomes a major channel for product discovery, creator-authored content becomes one of the strongest signals guiding LLM responses. With AI Search Visibility Reports inside impact.com, brands can see which individual creators or trusted sources are influencing these AI-driven recommendations, and immediately activate partnerships with those creators through the impact.com marketplace. What used to be an opaque and difficult-to-navigate part of the AI ecosystem is now transparent, actionable, and directly tied to measurable commerce outcomes.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Early customers are able to convert these AI search insights into targeted GEO partnerships, including access to impact.com’s RFP engine and the world’s largest and most diverse premium content marketplace of creators and publishers. Looking ahead, brands will also be able to access media packages and high-impact placements with the creators and commerce content publishers that most strongly shape LLM responses. This will include refreshing mentions in high-authority articles or commissioning new content from sources that generative engines consistently cite, giving brands a meaningful way to guide visibility, accuracy, and influence across AI-driven discovery.

The launch also marks impact.com as the first partner to appear in Evertune’s Partner Connect marketplace. Marketers can discover prioritized lists of AI-influential content sources within Evertune and, through the integration, activate affiliate and creator campaigns directly in impact.com. To measure the effectiveness of these campaigns, they can then track how increased mentions improve visibility in ChatGPT, Claude, Gemini, and other leading LLMs.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

“Commerce content’s impact on AI search visibility is significant. In our analysis of the top 10,000 sources cited by AI models, over 40% of content either contains affiliate links or is sponsored,” said Brian Stempeck, CEO of Evertune. “By partnering with impact.com, we help brands understand their visibility in AI search, discover the publishers that have the biggest influence on AI answers, and activate their affiliate networks, ensuring their products show up when AI recommends what to buy.”

The AI Search Visibility Reports are now available for select brands, and early partners are already using these insights to activate GEO-informed creator and affiliate campaigns through Partner Connect. A broader rollout is planned for early next year.

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ClaimScore Rebrands as Covalynt, Expanding Data Science Platform for Complex Litigation

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prweb
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CRMIT Solutions Doubles Down on Data Integration as Agentic AI Momentum Builds with Salesforce-Informatica Synergy

ClaimScore Rebrands as Covalynt, Expanding Data Science Platform for Complex Litigation

New Covalynt product suite brings scientific rigor and defensible clarity to every stage of the litigation lifecycle

ClaimScore, the legal technology company behind the only data science and AI-driven fraud detection solution for class action settlements, announced that it has rebranded as Covalynt. The new brand reflects the company’s evolution from a single anti-fraud product into a full-service data science platform purpose-built for complex litigation.

Under the Covalynt name, the company now offers an integrated suite of products—ClassResolution, DeepValidation, ClaimScore by Covalynt, and Bespoke Data Solutions—designed to solve the most difficult data problems in high-stakes cases, from early discovery through settlement distribution.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“Complex litigation has become fundamentally data-driven, but the industry hasn’t kept pace with the data-science rigor these matters now require,” said Don Beshada, CEO and co-founder of Covalynt. “ClaimScore showed us that fraud detection was just one piece of a much larger problem: fragmented class records, unreliable notice data, and identity-resolution challenges that traditional tools simply can’t handle. Covalynt is our answer to that broader mandate—the bond between complex litigation and data science.”

Originally launched as ClaimScore, the company pioneered bank-level, data-driven backend fraud analysis to help settlement administrators, attorneys and companies detect and prevent sophisticated class action claim fraud in real time.

“Our clients started coming to us with questions that went far beyond ‘Is this claim fraudulent?'” said Bryan Heller, co-founder of Covalynt. “They needed defensible class datasets, reliable notice strategies, and transparent models that could survive legal challenges. Covalynt’s platform is built to meet that reality—engineered by data scientists, proven in high-profile cases, and designed to stand up under expert and judicial scrutiny.”

Covalynt’s platform now includes four core offerings that bring scientific structure and defensibility to the entire litigation lifecycle:

  • ClassResolution – Guides discovery toward the data that matters and builds a unified, audit-ready class dataset. Covalynt helps legal teams request the right fields, reconcile fragmented records across sources, and apply engineered identity-resolution methods so that class membership can be defended under intense judicial and expert scrutiny.
  • DeepValidation – Transforms incomplete or inconsistent class contact data into actionable intelligence. DeepValidation enriches and validates addresses, emails, and other contact points, maximizing direct deliverability and sharpening indirect notice strategies while documenting each step in a reproducible, transparent process.
  • ClaimScore – Retains and extends the original ClaimScore fraud-detection capabilities. The product uses multi-factor, AI-driven scoring to identify fraudulent or suspicious claims—including synthetic identities and phone-farm submissions—while preserving legitimate claims and providing objective, evidence-backed documentation to courts and settlement stakeholders.
  • Bespoke Data Solutions – For challenges that don’t fit a standard pattern, Covalynt builds custom engineered workflows and applied data science solutions tailored to the specific facts, systems, and risks of a case. These bespoke engagements address root-cause data issues—such as complex identity graphs, multi-defendant data feeds, or unusual notice channels.

Covalynt’s methodology has been deployed in a wide range of privacy, consumer, and antitrust matters, including federal and state cases involving some of the world’s largest technology, data, and consumer brands. The company’s tools and testimony have been used in cases such as Lopez v. Apple, Inc., Katz-Lacabe et al. v. Oracle America, Inc., Mackmin et al. v. Visa Inc. et al., and Frasco v. Flo Health, Inc., Google LLC, and Meta Platforms, Inc., among others.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Across these matters, Covalynt’s role has expanded from fraud detection and claim validation to broader responsibilities such as class data engineering, notice optimization, and ongoing analytics that support negotiations, fee petitions, and post-distribution reporting.

“We built Covalynt for the data reality of modern cases,” Beshada added. “That means transparent, reproducible logic, rigorous security, and solutions that make litigation fairer and more efficient for courts, class members, and counsel on all sides.”

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How to Tame Martech Fragmentation Through Smarter Data Practices

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Bryan Cheung
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How to Tame Martech Fragmentation Through Smarter Data Practices

Two-thirds of marketers now say data integration is among their biggest challenges, and data silos top the list of concerns about the future of the martech stack. Fragmentation remains the rule, not the exception.

The modern martech stack was meant to be a bridge between creativity and data, between human insight and digital precision. Instead, it has often become a patchwork of disconnected systems. Unchecked growth without governance, strategy, or interoperability causes tech stacks to work against their intended goals.

This article outlines practical steps organizations can take to streamline data ingestion and improve interoperability across their marketing technology ecosystems. By focusing on shared APIs, consistent metadata, centralized governance, and meaningful performance metrics, marketing leaders can maximize the value of their technology investments.

The Persistence of the Frankenstack

Marketers have long used the term “Frankenstack” to describe technology environments stitched together from overlapping tools. Each platform adds incremental value, but integration complexity grows exponentially. Many organizations are still trapped in this pattern, with siloed systems that make it difficult to share data or scale personalization efforts.

Beyond being just a technical issue, this fragmentation erodes the customer experience. When systems cannot exchange data fluidly, every touchpoint becomes a separate conversation. Customers see inconsistencies in pricing, personalization, or messaging. That results in lost opportunities to generate revenue. The Liferay 2025 Digital Self-Service Report found that 73% of consumers have skipped a purchase because the process was too annoying. Meanwhile, teams spend more time reconciling systems than executing campaigns.

Moving From Complexity to Cohesion

The path forward lies in simplifying how data flows through the marketing ecosystem. Instead of layering more technology on top of existing systems, organizations need to standardize the way their tools communicate and exchange information. The goal is a stack where every component works together through shared language, structure, and governance.

Three practices consistently help organizations streamline data ingestion and strengthen interoperability.

1. Standardize on APIs and Metadata

Every integration depends on a shared foundation. Standardizing on APIs ensures that systems communicate through consistent protocols, reducing the need for custom connectors and manual workarounds. Collaborating with IT to align on data schemas and semantic tags enables seamless movement of information across tools.

Metadata plays a critical role as well. Clear titles, descriptions, and standardized fields help both people and systems interpret what the data represents. These details improve automation, reporting accuracy, and overall visibility. Over time, strong metadata standards create a foundation where every new tool can plug in without rebuilding connections from scratch.

2. Govern Through a Centralized Design and Data System

Governance is the glue that keeps a stack coherent. A centralized design system ensures visual and functional consistency across channels, reducing duplication and confusion. The same principle applies to data. A centralized data model that defines how customer, campaign, and content information is structured prevents drift across tools.

These frameworks create a shared reference point for marketing, IT, and analytics teams. They ensure that personalization engines, content systems, and reporting platforms all reference the same source of truth. The result is a stack that is easier to maintain, measure, and scale.

3. Measure Interoperability, Not Tool Count

Too many organizations measure progress by how many tools they deploy. The real indicator of maturity is how well those tools work together. Metrics such as data freshness, latency across APIs, and the time required to activate insights provide a clearer picture of integration health.

When interoperability improves, marketing teams spend less time reconciling data and more time acting on it. Tracking these metrics builds accountability and reinforces a culture of continuous optimization.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Lessons from Digital Experience Platforms

Modern Digital Experience Platforms (DXPs) offer lessons for marketers trying to take a disciplined approach to integration. They provide a unified engagement layer that sits above systems like ERP, CRM, and commerce engines, connecting data through APIs while maintaining consistency across web, mobile, and partner channels.

As marketers adopt modular, API-first approaches, success comes from designing for interoperability from the start. Those that combine flexible architecture with strong governance are better positioned to reduce redundancy, improve personalization, and deliver cohesive customer journeys.

From Flexibility to Focus

Marketers are under pressure to deliver real-time personalization, omnichannel engagement, and measurable ROI. These demands are legitimate, yet they often drive hasty adoption of new technologies without a cohesive plan. The result is a stack that is flexible in theory and fragile in practice.

Discipline restores focus. It ensures that every integration centers on better customer insight and faster, more consistent delivery. It requires collaboration across marketing and IT teams to establish ownership of APIs, monitor data quality, and manage versioning.

The future of martech will favor organizations that simplify their stacks by standardizing data practices. When teams treat interoperability as a core capability rather than a technical afterthought, the stack stops being a collection of tools and becomes a connected system that supports growth.

The Future Belongs to Integrated, Intentional Stacks

Reducing martech fragmentation starts with structure, not more software. Organizations that standardize how data moves through their systems will find it easier to scale campaigns, personalize experiences, and measure results accurately.

The most effective path forward includes a few consistent practices:

  • Standardize on APIs and metadata to ensure every platform communicates in the same language.
  • Establish centralized governance through shared data and design systems to maintain consistency.
  • Measure interoperability using metrics like data freshness and latency instead of focusing on tool count.

These steps create a connected ecosystem where data flows freely and insights are reliable. When marketing, IT, and data teams collaborate on these foundations, the stack evolves from a tangle of tools into a cohesive system that supports smarter decisions and stronger customer relationships.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Larridin Wins 2025 Intellyx Digital Innovator Award for Redefining How Enterprises Measure AI Value

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Business Wire
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Larridin Wins 2025 Intellyx Digital Innovator Award for Redefining How Enterprises Measure AI Value

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Larridin recognized for equipping enterprises with measurable insights, turning AI investments into ROI.

Larridin, the AI measurement and scaling platform, announced it has been awarded a 2025 Intellyx Digital Innovator Award for standout innovation in digital transformation. Presented by analyst firm Intellyx, known for spotlighting disruptive vendors that rise above the noise in crowded technology landscape.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“This award from Intellyx validates that to solve the visibility crisis, you need a fundamentally new kind of infrastructure—one that measures the utilization, proficiency, and impact.”

As AI adoption accelerates, CFOs, CIOs/CTOs, and other key stakeholders are under increasing pressure to prove ROI, scale responsibly, and align AI investments with business goals. This award recognizes Larridin’s ability to solve these challenges by providing the insights needed to move from AI experimentation to measurable impact and manage the Agentic Enterprise of the future.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

“At Intellyx, we only set up briefings with the most disruptive and innovative firms. Larridin is one such company, which is why we designated them as an Intellyx Digital Innovator,” said Jason Bloomberg, founder and managing director of enterprise IT industry analysis at Intellyx. “As AI budgets continue to grow across organizations, Larridin provides the analytics needed to understand AI adoption and ROI, enabling its responsible, scalable management.”

“We built Larridin because we realized traditional IT monitoring was blind to the ‘atomization of work’ happening between humans and AI agents,” said Russ Fradin, CEO of Larridin. “You cannot manage this transformation by counting logins; you need deep visibility at the browser and desktop level to understand the actual friction and flow of digital labor. This award from Intellyx validates that to solve the visibility crisis, you need a fundamentally new kind of infrastructure—one that measures the utilization, proficiency, and impact.”

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WORK-SELF Launches the World’s First Identity-Led Career Operating System Powered by Agentic AI

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MTS Staff Writer
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Keytomic Launches First All-in-One SEO Platform to Help Brands Rank on Google, ChatGPT, Claude, and Perplexity

Work-Self

Artificial intelligence is transforming how work gets done. What it has not solved is how people navigate careers when roles are temporary, skills expire quickly, and professional identity is constantly under pressure.WORK-SELF is stepping into that gap.

The Europe-based startup announced the public expansion of its platform as the world’s first identity-led Career Operating System, powered by agentic AI and designed to function as a persistent Career Co-pilot for individuals and professional coaches navigating the future of work.

While most career technology focuses on hiring, resumes, or short-term optimization, WORK-SELF positions itself as infrastructure for career evolution itself.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

From Roles to Identity
Careers are no longer linear. Professionals are expected to reskill repeatedly, manage portfolio careers, and make high-stakes decisions amid constant change. AI has accelerated productivity, but it has also amplified job displacement, career uncertainty, burnout, and misalignment.

WORK-SELF starts where traditional platforms stop: with the individual.

Instead of centering job titles or vacancies, the platform maps identity, values, energy patterns, strengths, and long-term direction. This data forms the foundation of a Career Operating System designed to support users across transitions, reinvention cycles, and periods of uncertainty.

The goal is not to optimize a single career move, but to provide continuity across an entire working life.

A Career Co-pilot Built on Agentic AI
At the core of WORK-SELF is an agentic AI architecture built to operate as a persistent career intelligence layer.

Unlike chatbots or static assessments, the Career Co-pilot continuously synthesizes structured career audit data, reflective inputs, goals, and progress signals to generate personalized career paths, 12-month action plans, and real-time guidance. The system adapts as users evolve, maintaining long-term context rather than resetting with each interaction.

This mirrors how AI co-pilots are changing software development and operations, but applies the model for the first time to career decision-making, an area historically resistant to automation due to its complexity and emotional depth.

Human Coaching, Augmented Not Replaced
WORK-SELF integrates live, professional career coaches directly into its operating system.

Agentic AI handles continuity, synthesis, and pattern recognition, while coaches focus on judgment, nuance, and human insight. Coaches work with AI-generated career blueprints, identity data, and progress analytics, allowing sessions to go deeper faster and extend impact beyond live conversations.

For users, this creates a hybrid experience: continuous AI support paired with high-trust human guidance. For coaches, it unlocks scale and precision without sacrificing quality.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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How AI Can Lead To A More Valuable And Creative Advertising Industry

By
Bill Connolly
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Across the advertising landscape, every few years or so a slew of headlines will hit suggesting it is the “end of advertising as we know it.” For some reason, new technology always seems to hit the ad-world quickly and harder than in other industries. Though this perception has real consequences in how agencies and in-house creative and media teams operate, like most headlines, the truth is often more nuanced and less clean-cut than those of us pontificating on the future would like to admit.

Such is the case in the age of artificial intelligence, which has upended the work of advertising and creative professionals, with tools like OpenAI’s ChatGPT and Anthropic’s Claude exploding onto the scene and impressively iterating with lightning speed. Agencies have had to quickly grapple with increasing pressure on efficiency while evaluating and learning about a rapidly expanding ecosystem with hundreds of AI-powered tools. Across creative industries the pressure to protect intellectual property and human-centered design and creative work is palpable. The labor strikes in Hollywood in 2023 were, in part, driven by the desire to protect writing and acting jobs that could be threatened by integrating AI into production.

Now, a growing focus on “agentic AI” is reshaping various parts of the workforce, beginning with more thematic use cases like customer service, where Gartner predicts that by 2029, agentic AI will solve up to 80% of common issues without any human intervention.

Still, amidst the very justifiable concern over the impact that this technology could have on labor and differentiation, there is reason for advertisers and creatives to be optimistic about the future. In fact, McKinsey estimates that GenAI has the potential to unlock $2.6 trillion to $4.4 trillion across industries. Ironically, the integration of this technology is raising awareness around the importance of good design and creativity in brand-building.

Technology will never eradicate great advertising, because the industry has always been technology-agnostic. What do I mean? The job of the advertising industry is to not just stay ahead of trends in tech but to drive new trends in the service of one mission: capturing the attention of modern audiences and converting that attention into commerce. Human beings are still best equipped to craft, design, and sell brands to other human beings. They just now have more powerful tools to help them in that mission.

With that in mind, here are three ways that AI can drive stronger, more creative advertising in the years ahead.

Expanding access for more industry participants.

Technology, at its core, expands access by bringing the cost of entry down and enabling non-technical individuals to more easily participate without extensive training. Currently, we are in a period of modern renaissance, where social platforms like Instagram and TikTok are turning creators themselves into full-fledged brands, and design tools like Canva and Adobe Express are powering hundreds of millions of users to create content and digital experiences without traditional design capabilities.

For advertisers, AI threaded throughout the marketing stack is shortening the production lifecycle while amplifying the quality of output. Put differently, the floor is being raised on the quality of content, including podcasts, short-form video, ad creative, and more. Of course, making content much more seamless to produce can have drawbacks as well. As more entrants flood the industry, there will inevitably be a race to the middle, and consumers will need to wade through a sea of mediocre content to access the most impactful material. Which brings us to the next trend.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Creativity as the last true “moat.”

Many futurists and industry leaders have called for a return to investment in creativity and branding, which is being further accelerated in the age of AI. As Squarespace Chief Creative Officer David Lee says, “creativity is the only job left.” And some brands like Airbnb have largely divested from “performance marketing” to reinvest in building durable brand reputations.

Creativity, it turns out, is even more critical in a world saturated with ads, where attention is increasingly hard to capture. Recently, System1’s Andrew Tindall shared research after studying more than 1,200 campaigns with ad data from 200,000 consumers. Among other findings in The Creative Dividend, System1 quantified the “profit multiplier” of creativity in advertising as 21x. In a world where tools have neutralized technological advantage, investing in creative storytelling and in highly engaged brand communities is the more effective differentiator. AI will only exacerbate this trend in the years to come. For designers, art directors, music producers, and other creative leaders, this should provide some solace that their skills will be needed more than ever in an AI-future.

Navigating a world of abundance.

Even for highly skilled, trained creative professionals, wading through an endless array of assets to find the perfect song, image, color, or font for a particular brand campaign can take an enormous amount of time and effort. AI is reimagining the way in which visual creativity can manifest and is reducing the amount of toil that can so often take up energy that could be spent on more truly creative work. Traditionally, the same handful of assets may be overused purely out of ease, but AI tools are democratizing expertise, and helping identify through context the right asset for the right project. This level of personalization shines a light on a wider range of creative work and when applied well helps create more vivid and distinct visual identities.

Additionally, for creatives responsible for designing hundreds of ad variations, or localizing campaigns by language, etc., AI is helping automate this process. Creative workers can now invest their energy into meaningful initial designs and then leverage these tools to extrapolate the campaign into new specs, languages, mediums, and more. This is especially important for large enterprises and agencies serving these kinds of organizations. In a world of abundance where there is a seemingly endless supply of assets, AI is helping stratify and streamline selection.

For advertisers, AI is just the next paradigm shift for an industry that has been evolving through change successfully for more than a century. It is up to all of us to ensure that these tools are responsibly integrated to enable more creativity, rather than simply as a way to power mediocre productivity.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Media Mister Recognized as Top Platform for Buying Instagram Likes, Featured in Leading News Publications

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MTS Staff Writer
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Media Mister Recognized as Top Platform for Buying Instagram Likes, Featured in Leading News Publications

Media Mister Marks 13 Years of Supporting Creators in the Digital Age

Media Mister, a prominent player in the social media growth industry, has recognized its position as the best site to buy Instagram likes. The announcement follows features in respected publications including IDS News and K-State Collegian, further validating the company’s commitment to delivering high quality Instagram likes.

With nearly 14 years of industry experience, Media Mister has established a comprehensive service model that prioritizes genuine user interaction over artificial metrics. The platform has successfully managed 500,000+ orders and maintains a satisfied customer base of 300,000+ users spanning 195 countries.

Media Mister’s Instagram likes packages begin at $2 for 50 likes, with scalable options available for larger campaigns and corporate accounts. The service covers multiple engagement types including post likes, comment likes, live video likes, and story likes, allowing customers to boost engagement across various content formats. The service differentiates itself through a strict no-bot policy, ensuring all likes originate from real, active users within the Instagram ecosystem.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Key features of Media Mister’s services include gradual delivery mechanisms designed to reflect authentic engagement patterns, demographic-based targeting capabilities, and transparent pricing structures. The platform also maintains SSL security protocols and provides dedicated customer support channels for ongoing account management.

“The demand for genuine Instagram engagement continues to grow as creators and businesses prioritize account authenticity,” said John Rampton, co-founder of Media Mister. “Our approach has always centered on delivering measurable results through legitimate channels, and our expansion into likes represents a natural evolution of that commitment.”

The platform extends its service offerings across 70+ social networks, providing integrated solutions for multi-platform growth strategies. This ecosystem approach enables customers to develop cohesive engagement strategies across Instagram, TikTok, YouTube, Facebook, Twitter/X, and additional platforms.

Media Mister removes barriers to entry with customer-friendly protections designed to build confidence in the service. The platform offers a free trial, allowing prospective customers to experience the quality and delivery speed firsthand before committing to a paid package. For those ready to purchase, a 30-day money-back guarantee ensures complete satisfaction, while a 60-day refill guarantee protects against any lost likes. Combined with SSL-encrypted transactions and round-the-clock customer support, these protections underscore Media Mister’s commitment to account safety and sustainable growth.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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Prep Edu – A pioneering AI-powered language learning platform in Asia

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MTS Staff Writer
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Prep Edu - A pioneering AI-powered language learning platform in Asia

Prep EDU | CNCF

By leveraging AI and advanced technologies, Prep Edu offers personalized learning experiences, helping over 1,000,000 learners achieve their language goals.

As a pioneer in applying AI to language learning in Asia, Prep Edu, an AI-powered learning, teaching, and testing platform, is redefining how self-learners overcome their biggest challenges. Through the use of advanced AI technology, the platform addresses the key obstacles: unclear study plan, difficulty tracking progress, lack of feedback, and limited opportunities for practice. Moving beyond traditional, one-size-fits-all learning models, Prep Edu delivers a personalized learning experience that aligns with each learner’s goals and pace.

Backed by a comprehensive AI-driven learning system, Prep Edu stands out in the EdTech landscape. The platform offers a wide range of language and test preparation courses, including IELTS, TOEIC, HSK – Chinese proficiency test, and PrepTalk – English communication.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

AI-POWERED FEATURES THAT ENHANCE THE SELF-STUDY EXPERIENCE

Learning a language independently can be difficult when it comes to structuring study plans and keeping track of progress. Prep Edu addresses this with AI-powered personalized study plans, generated based on each learner’s performance in an entry test. These tailored plans offer a clear and guided roadmap, enabling learners to monitor their progress, concentrate on key areas, and approach self-study with greater confidence and efficiency.

Prep Edu also provides the Virtual Speaking Room (VSR) and Virtual Writing Room (VWR), which focus on enhancing learners’ speaking and writing abilities in a self-study environment. VWR and VSR simulate real exam conditions and assess learners’ performance based on 12 criteria. The Virtual Rooms provide instant, detailed feedback after each practice, clearly highlighting strengths and weaknesses while offering specific suggestions for improvement.

Throughout the learning journey with Prep Edu, students are supported 24/7 by Teacher Bee AI, an AI tutor that delivers instant answers, lesson summaries, and additional exercises to reinforce learning.

OVER 1,000,000 LEARNERS ACROSS ASIA ACHIEVING THEIR LANGUAGE GOALS FASTER WITH PREP EDU

Prep Edu has established remarkable success in Vietnam, responding to the strong and growing demand for language learning and test preparation. This demand is fueled by learners’ aspirations to study abroad and advance their careers in an increasingly competitive world. Building on this foundation, in 2024 and 2025, Prep Edu has expanded into new markets, including Thailand, Indonesia, Korea, and Taiwan, bringing its innovative AI-powered learning solutions to a broader audience.

Since its launch, Prep Edu has supported over 1,000,000 students across Asia, with more than 90% achieving their target scores. Even in its early stages in these new markets, the platform has received overwhelmingly positive feedback, with trial sign-ups, app downloads, and website traffic all rising significantly.

Ja, a Prep Edu student from Thailand shared: “I had no regrets choosing Prep Edu. Throughout the journey, I gained a deeper understanding of my own strengths and weaknesses. I had achieved exactly what I set out to do. My score jumped from 6.5 to 7.5 in just a month, a significant improvement that proved how effective Prep Edu’s methods truly are.”

By combining comprehensive courses with cutting-edge AI-powered features, Prep Edu empowers learners to achieve their language goals faster, setting a new benchmark for language education across the region.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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Zefr Awarded New U.S. Patent for AI-Powered Content Classification Process

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Business Wire
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Zefr Awarded New U.S. Patent for AI-Powered Content Classification Process

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Zefr, a global leader in brand suitability technology for social platforms, announced that the U.S. Patent and Trademark Office has granted the company a new patent covering its proprietary AI-driven process for content annotation and model distillation.

The patent recognizes Zefr’s breakthrough use of large language models (LLMs) and AI agents to dramatically improve the precision, scalability, and transparency of digital content analysis, while reducing the need for extensive manual review.

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Unlike traditional annotation systems that rely on large teams of human reviewers, Zefr’s patented method enables AI agents to query massive video datasets, identify ambiguous or underspecified cases, and escalate only the most complex examples for targeted human review. This hybrid approach increases efficiency while preserving the nuance, cultural understanding, and contextual judgment that only humans can provide.

By combining automated discovery with human policy guidance, Zefr’s system can intelligently distinguish between seemingly similar scenarios: for example, differentiating depictions of crime in entertainment content from real-world criminal activity. This advancement allows advertisers to make better-informed, context-sensitive decisions about where their brands appear online.

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“This patent represents another major step forward in our mission to bring transparency and trust to the digital ecosystem,” said Jon Moora, Chief AI Officer at Zefr. “Our technology bridges the best of human reasoning and machine intelligence, ensuring advertisers can navigate complex online environments with confidence and accountability.”

The new patent marks Zefr’s 8th patent (and second AI patent), adding to the company’s growing portfolio of intellectual property in artificial intelligence, content understanding, and brand suitability. It underscores the company’s continued commitment to research transparency, peer-reviewed innovation, and responsible AI development.

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New OSS Release: GeekyAnts Launches Vibecode DB, a New Open-Source Database Abstraction Layer for Modern Web Apps

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New OSS Release: GeekyAnts Launches Vibecode DB, a New Open-Source Database Abstraction Layer for Modern Web Apps

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Write once, run anywhere: Vibecode DB lets developers switch databases without rewrites, using a unified, type-safe abstraction layer for modern web apps.

GeekyAnts has released Vibecode DB, an open-source database abstraction layer that solves a persistent pain point: the need to rewrite data access code every time a project switches database solutions.

Vibecode DB empowers developers to write database queries once and execute them across multiple environments—including SQLite, Supabase, Firebase, and REST APIs—without touching a single line of application code. Web application projects follow a predictable and painful pattern where teams prototype with lightweight local databases, migrate to cloud solutions for production, then rewrite critical infrastructure when business requirements shift. Each transition requires a complete reimplementation of data access layers, introducing new API patterns, incompatible query builders, and divergent type systems across the codebase.

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Vibecode DB changes how we approach data access. Our teams switched from SQLite to Supabase in days instead of weeks, without touching application code. That’s resilient development in action.”

— Eeshan Awasthy, Senior Software Engineer at GeekyAnts.

Vibecode DB dismantles this cycle. It decouples application logic from database-specific implementation details using a unified interface.
The platform operates through an elegant adapter-based architecture. Each database implementation adheres to a standardized interface, ensuring consistency across all environments. Vibecode DB ships with three production-ready adapters: SQLiteWebAdapter for rapid in-browser prototyping, SupabaseAdapter for production deployments, and CustomAdapter for seamless integration with existing REST API backends.

This architecture proves valuable for enterprises with legacy systems. The CustomAdapter enables incremental Vibecode DB adoption by mapping existing API endpoints to the unified query interface—no complete application rewrites required.
Critical advantage of Compile-time query validation. TypeScript integration catches invalid database queries during development, providing real-time IDE feedback and reducing runtime errors.

The practical benefits materialize across multiple development workflows. Prototyping accelerates with SQLite’s in-browser execution, eliminating backend infrastructure setup during initial phases. Database experimentation becomes low-risk, using simple configuration changes rather than architectural commitment.

Testing cycles shrink considerably. Teams substitute lightweight local databases for production systems while preserving identical application code, reducing test execution times. Incremental modernization becomes possible for organizations with existing database investments, enabling gradual transitions rather than comprehensive system rewrites.

Moreover, architectural resilience improves. Applications remain database-agnostic, allowing teams to add new adapters rather than reimplementing entire data access layers when requirements evolve or new database solutions emerge.

GeekyAnts has battle-tested Vibecode DB through extensive real-world usage at TheAppMarket, a production platform supporting complex application development patterns.

One development team transitioned an offline-first mobile experience from SQLite to Supabase without modifying a single component. Another team integrated legacy REST API infrastructure using CustomAdapter, maintaining full compatibility with existing systems while gaining access to Vibecode DB’s unified query capabilities.

These implementations validated measurable improvements in development efficiency; Participating teams reported up to 60% reduction in database migration time and 40% faster time-to-production when adopting production databases.

The project roadmap includes expanding database adapter support to Firebase, PlanetScale, and Turso. Advanced query features—including joins, aggregations, and database transactions—are under development. Real-time subscription capabilities across all adapters will address modern requirements for live data synchronization.

Vibecode DB is production-ready. Complete documentation and source code are available at vibecode-db.geekyants.com. The project is open source at GitHub github.com/geekyants/vibecode-db.

GeekyAnts is a global IT consulting company specializing in enterprise modernization, digital transformation, and full-stack application development. The organization maintains active open-source projects—including gluestack-ui and NativeBase— adopted across the web and mobile application ecosystem.

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Ecer.com: Pioneering Mobile-First Cross-Border B2B

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In cross-border trade, mobile phones have evolved from mere communication tools into the “main stage” for global business negotiations and transactions. Over 75% of cross-border B2B orders are completed via mobile devices, a figure that was much lower just a few years ago. Amid this shift from “desktop to palm,” Ecer.com (www.ecer.com), a leading global mobile B2B platform, is ushering global trade into a new era of instant response and seamless connectivity through a comprehensive mobile solution.

From Waiting to Real-Time: Breaking Down the “Time-Space Wall” in Foreign Trade
In traditional foreign trade, time differences and asynchronous communication were once the norm. Now, on Ecer.com’s mobile platform, buyers can initiate video factory inspections anytime, with AI-powered real-time translation instantly eliminating language barriers. Guangzhou Xingjin Fire Equipment Co., Ltd. described the transformation: “In the past, it would take a whole day to wait for email replies. Now, business opportunities can be followed up directly on mobile phones, with 24/7 availability. It feels like business has truly come alive.” Data shows that the efficiency of mobile order processing has increased by 300%, turning what was once a “time zone barrier” into a continuous stream of online opportunities.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Seeing Leads to Believing: Mobile Devices Rebuild Procurement Confidence
Trust is the cornerstone of B2B transactions. Ecer.com’s “Mobile Panoramic Factory Inspection” feature allows buyers to view factory production lines in 360 degrees in real time via their mobile phones. Combined with VR for 3D product inspections, this compresses the traditional multi-day factory inspection and decision-making process to just 2 hours. This is not merely a technology demonstration, but a process of building trust—the mobile screen has become a new generation of buyers’ “portable inspection checklist,” and the immersive experience is redefining the reliability of remote cooperation.

Intelligence Drives More Precise Matching
In the face of global inquiries in multiple languages and from various regions, Ecer.com’s AI customer service system can handle inquiries in various languages simultaneously, increasing opportunity conversion rates by 40%. Its intelligent matching engine, through deep learning, accurately connects procurement needs with supplier resources, increasing overall mobile opportunity conversion rates by 65%. Companies using these tools experience an average customer response time 3.8 times faster, significantly reducing order loss due to delayed responses.

Simplifying Complexity: Building a Full-Process Mobile Trade System
Unlike traditional platforms that merely provide information display, Ecer.com enables a fully mobile operation from sourcing and communication to factory inspection, negotiation, and closing deals. The trade loop is completed at your fingertips, greatly simplifying complex international transactions and truly putting “business in your pocket.”
Industry observers point out that Ecer.com’s practices not only improve efficiency but may fundamentally reshape the operational logic of international trade. As global trade increasingly shifts to mobile screens, Ecer.com has paved a clear fast track for the mobile transformation of global trade.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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Dimensional Insight named a Strong Performer in the 2025 Voice of the Customer for Analytics and BI

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Distinction in Gartner Report Is Based on Feedback and Ratings from End-User Professionals

Dimensional Insight®, a top-rated analytics and business intelligence (ABI) platform known for delivering trusted, governed insights, announced its recognition as a Strong Performer in the 2025 Gartner Peer Insights™ Voice of the Customer for Analytics and Business Intelligence Platforms report, published on 26 November 2025.

The “Voice of the Customer” is a document that synthesizes Gartner Peer Insights reviews into insights for buyers of technology and services. This aggregated peer perspective, along with the individual detailed reviews, is complementary to Gartner expert research and can play a key role in your buying process. Peers are verified reviewers of a technology product or service, who not only rate the offering, but also provide valuable feedback to consider before making a purchase decision.

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In our view, customer success has been core to our mission from the beginning, and being named a Strong Performer underscores the impact of our customer-centered approach.”

— Fred Powers, CEO and co-founder, Dimensional Insight

“We believe our customers expect analytics they can trust, and we’re proud to see their feedback reflected in this Gartner Peer Insights recognition,” says Fred Powers, CEO and co-founder of Dimensional Insight. “In our view, customer success has been core to our mission from the beginning, and being named a Strong Performer underscores the impact of our customer-centered approach.”

Voice of the Customer includes vendors with products aligned to the market that have 20 or more eligible published reviews (and 15 or more ratings for “Capabilities” and “Support/Delivery”) during the 18-month consideration period ending 30 September 2025. We believe Dimensional Insight’s placement as a Strong Performer reflects strong customer satisfaction and consistently positive ratings across industries such as healthcare, manufacturing, and beverage alcohol.

To read verified reviews of Dimensional Insight’s products, visit the Dimensional Insight page on Gartner Peer Insights.

*Gartner, Gartner Peer Insights Voice of the Customer for Analytics and Business Intelligence Platforms, Peer Contributors, 26 November 2025.

Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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IAS Launches ‘IAS Agent’ Enabling Marketers to Surface Deep Campaign Insights in Real-Time and Increase Ad Performance

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IAS Launches ‘IAS Agent’ Enabling Marketers to Surface Deep Campaign Insights in Real-Time and Increase Ad Performance

New AI-Powered Assistant Makes Every Marketer An Expert Instantly

Integral Ad Science announced IAS Agent, a new AI-powered assistant that helps customers activate campaigns faster, uncover deeper insights instantly, and optimize performance at scale. Powered by the industry’s most comprehensive dataset—and backed by 15+ years of proprietary IAS insights—IAS Agent is intuitive by design, empowering any marketer to deliver the trusted intelligence brands rely on to protect multi-million-dollar campaigns and accelerate performance across omnichannel investments. IAS will demonstrate IAS Agent at CES 2026, and expects to roll it out globally at no additional cost in early Q1 2026.

Unlike many “black box” AI solutions, IAS Agent is built on the principle of “explainable AI,” offering complete transparency into every recommendation. The new tool, integrated directly into the IAS user interface (UI), allows customers to hover over suggestions and access clear, easy-to-understand explanations of what’s proposed and why, and also provides control to customize, override, or adopt IAS Agent recommendations. IAS Agent surfaces access to more rigorous, AI-enhanced brand governance, campaign insights, and significantly simplified workflows to unlock comprehensive understanding and performance recommendations across publishers and platforms. IAS Agent recommendations are grounded in extensive intelligence rather than a limited training data set.

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“IAS Agent was designed to be a marketer’s advertising compass. It guides decisions with clarity and uncovers deep, comprehensive insights that would otherwise remain hidden—turning those insights into action, in real-time, so marketers can boost performance instantly,” said Srishti Gupta, Chief Product Officer at Integral Ad Science. “And this is just the start. IAS Agent will continue to expand its agentic capabilities to improve workflow and unlock value through AI supply path insights, tagging activation, and campaign settings assistance. This ongoing innovation reflects our commitment to providing advertisers with the trusted, transparent, and actionable data they need to drive superior campaign results and stay ahead in a complex digital landscape.”

Key IAS Agent features include:

  • Transparent Self-Reporting: IAS Agent “shows its work,” allowing customers to understand the reasoning behind each recommendation or action enabling marketers to confidently explain decisions and understand the logic driving IAS Agent outputs;
  • Full Control and Visibility: Customize, override, or adopt recommendations with full visibility into the AI’s decision-making process to improve campaign set up and drive performance for IAS UI users at any level;
  • Efficiency Enhancement: Receive AI-generated recommendations for brand safety and suitability settings with minimal input, scaling protection across all investments; initial tests show an efficiency improvement of 50 percent;
  • Instant Insights: Automatically spots trends and patterns across all IAS UI dashboards, surfacing what’s working and delivering campaign performance insights up to 5x faster—without manual analysis;
  • Campaign Activation: Simply chat with the agent using natural language for AI-powered guidance to streamline pre-campaign setup; no technical knowledge required.

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“In today’s complex media landscape, ensuring both brand safety and performance requires a significant investment of time and resources. IAS Agent meaningfully accelerates that process by uncovering deeper insights and enabling teams to act on them instantly,” said Jeff Omoregie, EVP of Unified TAAG at Publicis Media. “The ability to instantly surface transparent, data-driven recommendations in real time will help reduce ad waste and drive stronger performance outcomes for our clients and their campaigns.”

IAS solutions are grounded in a commitment to responsible AI. IAS’s advanced agentic capabilities are built with Databricks Agent Bricks to deliver enterprise-grade capabilities without compromising on governance or observability. IAS is the only company in the world to hold three of the industry’s most respected certifications in artificial intelligence: TrustArc Responsible AI, ISO 42001, and certification for Ethical AI by the Alliance for Audited Media.

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ID.me Announces Contract with CMS to Advance Access, Security, and User Experience on Medicare.gov

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ID.me Announces Contract with CMS to Advance Access, Security, and User Experience on Medicare.gov

ID.me announced it has entered into a contract with the Centers for Medicare & Medicaid Services (CMS) to enable secured access and improved user experience on Medicare.gov beginning in early 2026. Medicare beneficiaries will be able to verify their identity and sign in using ID.me, the next-generation digital identity wallet trusted by more than 157 million users, including 80 million verified to the federal standards for consumer authentication. This contract will modernize access workflows and reduce AI-driven fraud, helping advance CMS’ Aligned Networks and Kill the Clipboard initiatives by driving a more interoperable, patient-centric digital experience.

Starting in early 2026, ID.me will be available as an identity verification and sign-in option on Medicare.gov. Beneficiaries will be able to sign in seamlessly with the same credentials many already use at 21 federal agencies such as the Social Security Administration (SSA) and U.S. Department of Veterans Affairs (VA), as well as 50 state agencies and over 600 private sector entities. All Medicare beneficiaries begin their eligibility journey at SSA. They will now be able to reuse their ID.me credentials to access Medicare.gov, reducing friction, strengthening trust, and improving continuity of access.

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ID.me’s high-assurance credentialing, real-time data exchange, and deterministic matching using verified attributes will allow beneficiaries to authenticate once and reuse their credential across CMS programs. Online tools, such as live video chat with multilingual support, will make it possible for all Medicare beneficiaries to complete their personal tasks digitally.

“Healthcare access should be simple, secure, and trustworthy for every American. By extending ID.me’s high-assurance identity capabilities across CMS and Medicare.gov, we’re creating a more unified patient experience while strengthening overall program integrity,” said Blake Hall, Founder & CEO of ID.me. “This collaboration demonstrates what’s possible when government and technology work together to protect sensitive data at a national scale.”
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This expansion underscores ID.me’s role as a scalable, reliable identity provider for high-stakes government services. In addition to public-sector partnerships, ID.me now supports 70+ private-sector healthcare organizations, including provider groups, electronic health record (EHR) systems, and digital health platforms.

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BrowserStack Bridges Developer-QA Productivity Gap with Test Failure Analysis Agent

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BrowserStack Bridges Developer-QA Productivity Gap with Test Failure Analysis Agent

BrowserStack, the world’s leading software testing platform, launched its AI-powered Test Failure Analysis Agent, an autonomous system that debugs test failures with QA-level accuracy up to 95% faster, directly addressing the widening productivity gap between developers and QA teams.

That gap has widened as AI coding assistants help developers ship code faster. QA teams, meanwhile, still spend an average of 28 minutes manually investigating each test failure – sifting through logs, comparing historical runs, and piecing together context across multiple tools.

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“Developers are shipping code 33% faster thanks to AI-assisted coding, but QA teams have been stuck with the same manual processes,” said Ritesh Arora, Co-founder and CEO, BrowserStack. “We built the Test Failure Analysis Agent to give QA teams their own AI productivity boost. It’s embedded in their workflow with full test context, bringing clarity, accuracy, and speed to debugging.”

The breakthrough lies in context. Generic AI tools analyze only the code snippets users provide, missing the broader picture. The Test Failure Analysis Agent operates within BrowserStack’s Test Reporting & Analytics platform, automatically pulling in test reports, logs, stack traces, execution history, linked tickets, and patterns across similar failures.

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

Key capabilities:

  • Root cause analysis that correlates multiple data sources like test reports, logs, stack traces, execution history, and similar failures to identify why a test failed.
  • Failure categorization that instantly identifies whether issues stem from production bugs, automation errors, or environment problems.
  • Actionable remediation with specific fixes and next steps, including one-click integration with bug tracking tools.

The agent integrates with popular development tools including Jira, GitHub, Jenkins, Slack, and GitLab, surfacing insights where teams work.

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Czech TV Elevates Video Streaming with Harmonic

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Czech TV Elevates Video Streaming with Harmonic

Harmonic’s XOS Advanced Media Processor Improves Streaming Video Quality and Boosts Viewer Engagement

Harmonic announced that Czech Television (Czech TV), the public broadcaster of the Czech Republic, has teamed up with Harmonic to modernize its video streaming workflow. By adopting Harmonic’s award-winning software-based XOS Advanced Media Processor and moving transcoding operations in-house, Czech TV gains greater control and the ability to deliver exceptional-quality streaming experiences to millions of viewers.

“After years of relying on outsourced solutions, we recognized the need to bring media processing in-house. Harmonic’s XOS media processor unlocks AI-powered content-aware encoding to deliver superior-quality video streaming on a wide range of devices,” said Jan Dvořák, head of IT, digital services at Czech TV. “This shift has allowed us to streamline operations, gain efficiency, reduce costs and boost engagement, while offering the highest video quality to our audiences.”

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Harmonic’s XOS media processor leverages a cloud-native foundation, AI-powered EyeQ™ encoding technology and a full playout-to-delivery feature set to elevate video streaming for Czech TV and support mobile, web app and HbbTV delivery. The advanced media processor enables Czech TV to generate multiple video profiles, add subtitles and insert logos for pop-up channels, boosting audience engagement and elevating the viewing experience. The XOS media processor also provides Czech TV with state-of-the-art audio mixing capabilities for the delivery of descriptive audio for impaired audiences, allowing for a more inclusive streaming experience.

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“As a long-standing Harmonic customer, Czech TV continues to demonstrate forward-thinking leadership by embracing innovation and leveraging software efficiencies,” said Tony Berthaud, senior vice president, sales, APAC and EMEA at Harmonic. “With the XOS media processor, Czech TV is establishing a strong foundation for streaming and standing out in the marketplace by delivering outstanding video experiences with enhanced audio.”

Harmonic’s local partner Smart Informatics played a key role in ensuring a smooth deployment for Czech TV.

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Discount Power, Inc. Modernizes Operations with VertexOne’s Cloud-Based CIS & EDI Solutions

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Discount Power, Inc. Modernizes Operations with VertexOne's Cloud-Based CIS & EDI Solutions

VertexOne, a leading provider of cloud software designed to revolutionize the customer experience within the energy and utility industry, announced that electricity and natural gas provider, Discount Power, Inc. has successfully gone live with VertexOne’s leading billing and customer information system (CIS), VXretail, and electronic data interchange (EDI) solution, VXexchange.

“VertexOne’s software gives us the scalability & automation we need to focus on what matters most, delivering value to our customers” – Gino Tarantino, Discount Power CFO

Discount Power, Inc., which serves residential customers across Massachusetts, Delaware, New Jersey, Pennsylvania, Rhode Island, and Ohio, has completed a seamless migration of its customer base to VertexOne’s systems while simultaneously expanding into the New Hampshire market. The on-time and on-budget transition supports both electric and natural gas services, and equips the company with modern tools to manage growth, streamline operations, and navigate evolving market and regulatory conditions.

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“The migration was executed flawlessly with no disruption to our operations or our customers, and we’ve already seen significant improvements in our ability to manage and grow our business across multiple markets,” said Gino Tarantino, Chief Financial Officer at Discount Power, Inc.

Tarantino said the company chose VertexOne for its integrated solutions, which give the energy provider real-time operational control, enhanced reporting capabilities, and the agility it needs to quickly adapt to changing market conditions and regulatory requirements with ease. And the system’s seamless integration with Discount Power’s third-party risk management and TPV partners, Tarantino added, further ensures continued operational excellence.

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

“As we continue to grow our footprint in the competitive energy market, VertexOne’s software gives us the scalability and automation we need to focus on what matters most, delivering value to our customers,” Tarantino said.

“Discount Power’s rapid migration and successful launch reflects the strength of our solution and our shared commitment to customer satisfaction,” Ananda Goswami, VertexOne Senior Vice President of Sales Strategy, said. “Complex multi-state migrations require sophisticated technology and deep industry expertise, and Discount Power’s success exemplifies VertexOne’s ability to deliver enterprise-grade solutions that support growth while maintaining reliability, compliance, and customer satisfaction.”

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Home Screen Ads Boost Advertiser Outcomes According to Xumo Report

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Home Screen Ads Boost Advertiser Outcomes According to Xumo Report

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Audience considers the format ‘unique and novel’ and it fits in ‘seamlessly’ with the viewing experience compared to standard video ads or banner ads

Recent campaign data shows home screen ads can more than double signups for streaming services

Xumo, a streaming platform joint venture between Comcast and Charter Communications, released a new report that highlights the power of connected TV (CTV) home screen ads to drive measurable business impact for advertisers. “Prime Real Estate: Why the Home Screen is a Winning Address for Advertisers,” provides survey data, a case study and best practices for advertisers to leverage with the prime ad real estate of the streaming era.

When people sit down to watch TV, more than 8 in 10 (82%) of them do not always know what they want to watch.i In addition, more than 6 in 10 (65%) spend at least six minutes looking at options to watch.ii As the focal point when turning on the TV, home screen ads can be curated and delivered in contextually relevant ways to guide viewers to content they may like or create associations between brands and content collections.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

This is why many advertisers are turning to home screen ads, including subscription streaming companies looking to drive app sign-ups, publishers driving viewers to specific shows and brands looking to build awareness through contextual relevance. Recent results from a streaming service ad campaign on Xumo devices showed that viewers exposed to home screen ads were more than twice (142%) as likely to sign up compared to those who didn’t see them. Furthermore, 47% of app sign-ups during the campaign were driven by home screen ads.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Home screen ads perform well because they are less disruptive to the viewing experience and stand out more compared to typical commercial breaks or banner ads that pop up on screen. In a survey, 58% of respondents said home screen ads fit in seamlessly compared to standard video ads (50%) or banners (44%).iii Home screen ads were also viewed as a more unique and novel format by 59% of respondents, much higher than banners (47%) and standard video ads (44%).iv

“Not all ad units are created equal. The most effective formats surround the content, are contextually relevant and give viewers an obvious next step – whether that’s launching an app, starting a new show or redeeming an offer,” said Eli Zang, Head of Sales, Xumo Advertising. “Our research shows how home screen advertising, done right, can amplify the impact of a campaign while delivering a memorable user experience.”

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Conductor Reports Record Enterprise Momentum as AI Search Reshapes Digital Discovery

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Conductor Reports Record Enterprise Momentum as AI Search Reshapes Digital Discovery

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Q3 Marks Strong Enterprise Growth with 50+ New Logos and 125% Net Revenue Retention

Conductor, the only end-to-end, enterprise AEO platform, announced strong momentum through Q3, driven by accelerating enterprise adoption as AI search became a core performance channel. Q3 growth accelerated with more than 50 new enterprise logos, Net Revenue Retention exceeding 125 percent, and monthly active usage growing 132 percent year over year.

Conductor added more than 50 enterprise customers through Q3 as enterprises adapt to visibility inside AI-generated answers and answer-first discovery.

AI has introduced a new layer of digital discovery where answers, not links, shape perception long before a customer ever reaches a website. Conductor’s 2026 AEO/GEO Benchmarks Report shows that AI answers now appear in roughly one in four Google queries, with visibility reaching nearly half of all queries in industries such as health care and financial services. At the same time, nearly 90 percent of emerging AI referral traffic is flowing through ChatGPT, reshaping the earliest moments of customer intent and reframing which brands enter the consideration cycle.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

As enterprises respond to this shift, Conductor saw accelerated adoption across global organizations through Q3:

  • Added 50+ enterprise AI customers, including leading brands like Aladdin by BlackRock, Four Seasons, TD Bank, and 1-800-Contacts.
  • Q3 Net Revenue Retention exceeded 125 percent, and Gross Bookings reached 134 percent of the goal.
  • Monthly active usage up 132 percent, showing rapid adoption of AI search intelligence beyond AEO/SEO and into digital, content, communications, and product teams.
  • Conductor expanded its strategic partnership with Acquia to power generative AI capabilities within Acquia Source
  • Recognized by OpenAI as one of the top 50 token consumers in the world, signaling Conductor’s commitment to data quality and scale.
  • In Q3 alone, customers used Conductor to track over 1.5 million AI prompts, optimize more than 20,000 pieces of content, and monitor website health in real time through the platform’s enterprise-grade AI workflows.
  • Released 40+ product updates and features, including Knowledge Sources in Writing Assistant that transforms how enterprises leverage generative AI by grounding content in proprietary expertise, ensuring AI-generated content reflects true organizational authority to differentiate and dominate in AI search.
  • Conductor also achieved AI Management Systems ISO 42001 certification, becoming the first platform in its category to meet this new global standard.
  • Conductor’s annual AEO conference, C3, sold out, bringing together 300+ enterprise brands, with speakers from leading brands including EY, WP Engine, and Wolters Kluwer.

For many organizations, the shift toward Conductor reflects a broader evolution in how marketing teams operate. As AI engines prioritize authoritative perspectives, original content, and structured knowledge, enterprises are unifying SEO, content, digital, and communications teams around shared visibility strategies and modern performance frameworks. The brands that invest early in understanding their presence across AI and search are already capturing demand upstream and reducing acquisition costs that would otherwise escalate as the market matures.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

“Marketing is undergoing a once-in-a-generation shift,” said Seth Besmertnik, CEO and Co-founder of Conductor. “AI is rewriting how customers discover and trust brands. The companies that win will be the ones that understand and influence how they show up across every AI-driven experience. Conductor anticipated this shift early, and our momentum reflects a simple truth: enterprises are choosing the platform built for where search is going.”

Besmertnik added, “The customer journey increasingly begins and resolves within AI experiences. Visibility no longer starts at the website. It starts in the answer.”

Throughout 2025, Conductor expanded its AI search visibility capabilities, deepened insights into AI-generated answers and citations, and advanced its enterprise-grade content and technical SEO workflows. Customers increasingly use the platform as their system of record for AI visibility and organic growth, supported by Conductor’s proprietary datasets, real-time monitoring, and integrated AI-assisted content capabilities.

Looking ahead to 2026, Conductor will broaden support for emerging AI search surfaces, enhance its measurement and optimization capabilities, and continue developing the datasets that enterprises rely on to understand their presence across the evolving landscape of AI-first discovery.

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Imagekit Launches Contentful App To Allow Media Management And Delivery Within The Cms

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ImageKit launches Contentful app to allow media management and delivery within the CMS

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Teams can now access ImageKit’s entire media library inside Contentful, apply real-time transformations, and deliver fully optimized images and videos, including streaming across websites and apps without changing existing workflows.

ImageKit, a unified image and video API platform with integrated Digital Asset Management (DAM), announced the launch of its ImageKit App for Contentful, now available on the Contentful Marketplace. The integration brings ImageKit’s complete AI-powered DAM capabilities, real-time image and video optimization/transformations, and global CDN delivery directly into Contentful, enabling teams to manage and publish high-performance visuals without ever leaving their CMS workspace.

ImageKit’s new Contentful app lets teams keep using Contentful while leveraging ImageKit’s transformations, DAM, and global CDN to publish high-quality visuals that load fast across every channel.

Teams using Contentful often waste time reuploading media that already exists in ImageKit. The ImageKit app eliminates this by letting you access and use your ImageKit assets directly inside Contentful, keeping workflows fast and delivery optimized from one source.

The integration is fully maintained by ImageKit and built using Contentful’s app framework, ensuring long-term reliability, marketplace verification, and seamless compatibility with existing workflows across content, design, and marketing teams.

“Contentful is a powerful CMS trusted by content and marketing teams, but media management and optimization need a dedicated solution,” said Manu Chaudhary, CTO at ImageKit. “With our new Contentful app, teams get the best of both worlds. They can continue working within Contentful while tapping into ImageKit’s purpose-built image and video transformations, DAM capabilities, and global CDN. This helps teams publish high-quality visuals that load fast across every channel.”

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Bring optimized, governed, and production-ready visuals into Contentful

Here’s what this integration unlocks for Contentful workflows.

Use one unified storage for all your media assets: Instead of storing media files in both Contentful and ImageKit, teams can now store everything in ImageKit’s media library and access it directly inside Contentful. This keeps assets consistent, easy to find, and always optimized from a single source of truth.

Deliver consistently fast, high-quality experiences: Media assets inserted through the ImageKit app are automatically optimized and delivered through ImageKit’s global CDN. Teams get real-time resizing, compression, and format conversion for reliable performance across devices and locations. You can use global delivery settings or apply transformation strings and named presets to ensure consistent visual output across webpages, product catalogs, and in-app experiences.

Faster and smoother workflows: Teams can reorder images, view file metadata, and quickly find assets using advanced filters and AI-powered visual search without leaving Contentful. You can also open any asset in the ImageKit dashboard whenever you need more advanced editing, keeping your workflows fast and efficient.

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Give every team governed access to the right assets: Admins can choose exactly which folders, file types, or tagged assets appear to users inside Contentful. The ImageKit app respects all folder-level controls already defined in your ImageKit account, including path policies. This means any rules you’ve set for a folder, such as restricting uploads, preventing overwrites, or limiting who can modify or view specific assets, automatically apply when users browse the same folders inside Contentful. Users only see the assets they’re allowed to work with, and workflows stay secure and organized without any extra configuration.

ImageKit’s integration ensures that Contentful continues to act as the operational content layer, while ImageKit powers the media backbone beneath it, enabling businesses to deliver visually consistent, high-performance experiences at scale.

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