Recommended Martech, AdTech, Videotech, Salestech | MarTech Series https://martechseries.com/category/recommended/ Marketing Technology Insights Wed, 29 Apr 2026 07:57:48 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 https://martechseries.com/wp-content/uploads/2024/09/cropped-martech_series_logo-1-4-32x32.png Recommended Martech, AdTech, Videotech, Salestech | MarTech Series https://martechseries.com/category/recommended/ 32 32 Five Takeaways From Adobe’s Recent Acquisition of Semrush https://martechseries.com/mts-insights/staff-writers/five-takeaways-from-adobes-recent-acquisition-of-semrush/ Wed, 29 Apr 2026 07:57:48 +0000 https://martechseries.com/?p=399344 Adobe’s acquisition of Semrush is an important turning point not just for marketing technology but for the wider fintech-adjacent digital economy, where data, intelligence and customer experience are converging at an unprecedentedly rapid rate. This deal might be about marketing and brand visibility, but its effects will be felt by SEO, analytics, automation and the way financial and digital ecosystems work.

Fundamentally, this acquisition signals a structural shift: from distinct tools to comprehensive intelligence systems. Here are five key takeaways that explain why this move is significant and what it says about the future of enterprise technology, including its increasing crossover with fintech-like data-driven decision systems. Now, let’s look at the 5 takeaways from Adobe’s recent acquisition of Semrush.

1. Brand visibility is not a tactic anymore – It’s becoming a system

One of the biggest takeaways of the Adobe–Semrush deal is that brand visibility is no longer a standalone function, such as SEO. The whole thing has been incorporated into the digital experience lifecycle.

Earlier, SEO teams used to optimize the content after it was created and hence visibility was a standalone procedure. But, now Adobe is integrating Semrush directly into its ecosystem, including Adobe Experience Manager and Adobe Analytics. Visibility is now a part of the content supply chain itself.

This transformation is parallel to the evolution of fintech systems from isolated transactional tools to integrated intelligence platforms. As fintech embeds analytics into financial workflows, Adobe is embedding discoverability into marketing workflows.

This will lead to a more proactive model, where brands will create content with visibility in mind from the beginning, rather than optimize after publishing. This alters the very nature of how organizations consider digital strategy.

2. The Rise of AI-Driven Discovery is Transforming the Digital Economy

The acquisition marks a significant shift in how people search for information. Search engines are not just a gateway anymore; AI systems, chat interfaces, and recommendation engines are taking over.

Adobe reports huge growth in AI-driven traffic and generative AI increasingly shaping how users evaluate brands. This also happens to be extremely useful for fintech. FinTech platforms have already been applying AI to enhance user decision making in lending, investing and payments. Likewise, marketing is shifting toward AI-mediated discovery, where algorithms, not users, dictate what gets seen.

Hence a new reality is created :

  • Visibility is not just about page ranking anymore
  • It’s being incorporated in AI generated responses.
  • For businesses, including fintech, this means adapting to systems that interpret, summarize and recommend content, rather than just indexing it.

3. SEO is becoming a more generalized and standard layer of intelligence

Another big takeaway is that traditional SEO isn’t going anywhere — but it’s being incorporated into something far bigger.

Semrush has introduced capabilities that go beyond keyword ranking to AI-driven discovery, like generative engine optimization (GEO). This is comparable to fintech development, where predictive analytics and intelligent automation have displaced fundamental transaction processing.

In the new model:

  • Keywords of lesser significance than context and intent
  • Content must be structured for machine understanding
  • Visibility depends on how AI interprets your brand

This is particularly significant for fintech companies. Trust and authority are two important factors in financial services. They are two factors that AI systems increasingly use to evaluate content for recommendations.

This results in it not just a technical activity, but a strategic, data-driven, and deeply embedded business activity.

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4. Marketing Is Becoming an Orchestrated, Data-Driven Discipline

Adobe’s larger strategy is based on “customer experience orchestration,” an idea that gels well with how fintech platforms work.

Adobe is building a system where everything works together, instead of managing separate tools for content, analytics and engagement.

This is part of a broader trend across industries, including fintech:

  • Data centralization
  • Automated workflows
  • Real-time insights-driven decisions

This means a shift from execution to coordination for marketing teams. They have to  align with:

  • Content Production
  • Data infra structure
  • Visibility techniques

The same change is taking place in fintech. Organizations are moving from siloed systems to integrated platforms that manage the entire financial lifecycle. The takeaway is obvious: success will depend on how well organisations can orchestrate systems, not just execute tasks.

5. The Bigger Trend: The Convergence of Marketing, Data and Fintech-Like Systems

The Adobe-Semrush deal is marketing-focused but reflects a broader convergence across industries, including fintech.

Both sectors are heading for:

  • Real-time data processing
  • Predictive intelligence
  • Automated decision-making

This change in fintech enables smarter financial choices. It helps you engage your customers better in marketing.

It is because of these intelligence systems as:

  • They don’t just store the data , but they are interpreting it
  • They don’t just report results, they are forecasting it
  • They don’t just facilitate decisions, they are making it

This convergence implies that the future of digital platforms, either marketing or fintech will be determined by their ability to function as intelligent systems.

Conclusion

Adobe’s acquisition of Semrush is not simply a strategic expansion, it’s an indicator of a fundamental shift in the way digital ecosystems work. It underscores the shift from siloed tools to integrated intelligence platforms where visibility, data and execution are tightly woven together.

Basically, the move signals a wider change that goes beyond marketing and can be seen in other sectors, such as fintech, where we see similar trends. The essence of marketing has shifted from campaign execution to system-level orchestration, just as the nature of fintech has evolved from processing transactions to predictive intelligence.

The rise of AI-led discovery is changing how users engage with brands. Search ranking isn’t the whole story when it comes to visibility; it’s also about how AI systems understand, trust, and recommend content. Organizations need to rethink their approach, optimizing for not only humans, but for the machines that regulate user decisions.

The acquisition ultimately demonstrates a clear and compelling idea: the future of digital success will be less about how well companies excel at individual functions, and more about how well they integrate and orchestrate them. The winners in marketing or fintech will be those who can turn data into intelligence and intelligence into action.

As AI continues to transform how we discover, engage and make decisions, one thing is certain: visibility is no longer just about being seen. It’s about being understood, trusted and recommended by the intelligent systems that shape the modern digital experience.

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Locality and Nielsen Announce Landmark Integration of Media Data Engine, Transforming Local TV Measurement https://martechseries.com/tv-advertising/locality-and-nielsen-announce-landmark-integration-of-media-data-engine-transforming-local-tv-measurement/ Wed, 15 Apr 2026 13:59:23 +0000 https://martechseries.com/?p=398601 The integration accelerates demographic audience delivery across local markets and modernizes local TV measurement in the U.S.

Locality becomes the first broadcast sales organization to implement Nielsen’s MDE offering at scale.

Locality, the leading local TV advertising platform connecting brands to local audiences across broadcast and streaming, and Nielsen, a global leader in audience measurement and media intelligence, announced the integration of Nielsen’s Media Data Engine (MDE) into Locality’s broadcast advertising infrastructure.

This integration accelerates demographic audience delivery and modernizes local television measurement in the U.S.

Per this collaboration, Locality becomes the first broadcast sales organization to implement Nielsen’s MDE offering at scale, enabling demographic audience delivery across all U.S. local markets to within four days of airing. Previously, this process took weeks.

The net industry benefit is a significant modernization of local TV measurement results, bringing greater speed, consistency, and predictive capabilities to broadcast campaigns.

“This partnership marks a major step forward for local broadcast,” said Ann Hailer, President of Broadcast at Locality. “For decades, local television has operated on delayed reporting cycles that limited agility and optimization. By integrating Nielsen’s Media Data Engine directly into our infrastructure, we are accelerating access to trusted audience insights and enabling advertisers and stations to make faster, more informed decisions across local markets.”

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

Nielsen’s MDE is a next-generation data infrastructure designed to improve the timeliness and scalability of measurement. Through this integration, Locality gains streamlined access to Nielsen Local TV data across all 210 local markets, enabling more responsive campaign planning, in-flight optimization, and performance monitoring.

“Local advertisers and broadcasters need the same level of speed and insight that has transformed national and digital media,” said Paul LeFort, Managing Director of Nielsen’s Local TV Client Services. “Our Media Data Engine was built to power the future of audience measurement and only Nielsen can reliably measure different demographics, including at the local level. By teaming up with Locality, we are introducing a new level of sophistication, innovation and possibilities for the entire local ad ecosystem.”

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

The integration reflects a broader shift toward converged planning and more dynamic campaign management. By accelerating access to demographic audience insights, Locality and Nielsen are enabling local broadcast to operate with greater transparency, comparability, and responsiveness across markets. Beyond immediate speed gains, the partnership also lays the groundwork for future innovation, including predictive analytics, AI-driven modeling, and more advanced audience-based applications in linear television.

“This partnership is about building the infrastructure for the next generation of local advertising,” said Michael Collins, CEO of Locality. “Together with Nielsen, we are redefining what’s possible for local media, bringing broadcast measurement into a more modern, intelligent era.”

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OpenX Repositions as The Intelligent SSP™ to Simplify Advertising https://martechseries.com/predictive-ai/ai-platforms-machine-learning/openx-repositions-as-the-intelligent-ssp-to-simplify-advertising/ Mon, 13 Apr 2026 13:45:07 +0000 https://martechseries.com/?p=398417

OpenX

Bringing intelligence closer to inventory to power a simpler, more responsible future for advertising

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Feroot Introduces Industry-First AI-Powered Consent Audit to Verify Compliance Across Websites and Mobile Apps https://martechseries.com/mobile/feroot-introduces-industry-first-ai-powered-consent-audit-to-verify-compliance-across-websites-and-mobile-apps/ Wed, 01 Apr 2026 07:56:35 +0000 https://martechseries.com/?p=397812 Feroot - Cybersecurity Excellence Awards

New DXComply capability enables enterprises to enforce consent and preference policies across websites and mobile apps while maximizing existing CMP investments

Feroot Security announced the availability of AI-powered consent audit as a core capability within DXComply, its digital experience privacy compliance product. DXComply is the first solution to deliver automated, continuous consent audit across both websites and mobile applications — the complete digital experience layer where users interact with brands and share sensitive personal data. By harnessing AI to audit consent behavior at scale, Feroot allows enterprises to achieve continuous consent and preference compliance, which would be unachievable manually.

The announcement comes as organizations face mounting enforcement pressure despite significant investments in consent management infrastructure. The California Privacy Protection Agency has issued fines and enforcement actions under the California Privacy Rights Act against companies with established consent management programs in place, citing failures to enforce consent policies consistently across digital properties. Similar enforcement trends are accelerating across jurisdictions operating under the General Data Protection Regulation, Brazil’s Lei Geral de Proteção de Dados and other major privacy frameworks.

The pattern of enforcement reflects a structural limitation in how organizations currently manage consent. Consent management platforms, or CMPs, are an essential foundation for any privacy compliance program — establishing the consent framework, managing preference records and presenting required notices to users. However, CMPs cannot audit themselves. They cannot verify that consent banners on individual pages are correctly configured, confirm that third-party scripts on mobile applications are not firing before consent is granted, or generate the continuous, page-level audit evidence that regulators are increasingly requiring organizations to produce. The result is a gap between what a consent policy states and what occurs at the point of user interaction — a gap that regulators are actively examining.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

“A CMP tells an organization what its consent policy says,” said Ivan Tsarynny, chief executive officer of Feroot Security. “It does not tell organizations whether that policy is being enforced on every page of a website and every screen of a mobile app, in real time. DXComply audits every page accepting cookies to ensure behavior and policy are aligned. That is what regulators are examining.”

DXComply Consent Audit: Continuous Verification Across the Full Digital Experience Layer

DXComply’s AI agents continuously scan every page and screen across an organization’s websites and mobile applications, delivering a comprehensive and always-current view of consent compliance. The capability includes:

• Continuous audit and enforcement of cookie consent controls across every page of websites and mobile applications, automatically detecting consent violations, missing consent banners and non-compliant tracking behavior
• Real-time verification that user consent preferences are being honored by first-party and third-party scripts, pixels, tags and tracking technologies — ensuring those technologies fire only when and where consent has been granted
• Detection of pre-consent script execution and unauthorized tracking activity the moment it occurs
• Automated jurisdictional mapping across applicable regulations, including GDPR, CCPA/CPRA, LGPD, PDPA, POPIA, PIPEDA and HIPAA
• Continuous generation of jurisdictional audit trails documenting consent activity across all monitored properties, designed to support regulatory inquiries and internal compliance reviews without requiring manual audits
• Real-time alerts to compliance and security operations teams when consent configuration drifts or new violations are detected

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

DXComply goes beyond consent audit to provide a complete AI-powered privacy compliance solution. DXComply’s AI agents continuously discover and inventory every page, script, and data flow processing sensitive user information across an organization’s entire web and mobile footprint — inspecting data in motion to detect and block non-compliant data collection, sharing, or exfiltration, and delivering prioritized risk alerts to GRC and SecOps workflows for fast remediation. DXComply is Feroot’s solution for managing and enforcing privacy policies at the digital experience layer, providing continuous visibility, automated enforcement, and audit-ready evidence that organizations need to prove compliance every day, not just at audit time.

“Organizations have made significant investments in consent and preference management,” Tsarynny said. “DXComply provides the operational layer that validates those investments are working as intended — across every website and mobile app, in every jurisdiction. When consent configuration on a particular page or mobile screen is not functioning correctly, the system identifies the issue so it can be corrected. That directly affects opt-in rates, preference data quality, and the return on existing consent infrastructure.”

Maximizing ROI From Consent and Preference Management Investments

DXComply is designed to work alongside existing CMP deployments from vendors including OneTrust, Cookiebot, and TrustArc, extending the value of those investments by providing continuous verification of enforcement across an organization’s full digital footprint. By identifying pages and screens where consent configuration is not performing correctly for a given jurisdiction, or where preference signals are not being honored by downstream scripts and tags, organizations can make targeted corrections that improve opt-in rates, strengthen preference data quality, and increase the return on existing consent and preference management infrastructure.

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VisiGEO Launches: The Tool to Make Your Brand Visible to AI https://martechseries.com/content/visigeo-launches-the-tool-to-make-your-brand-visible-to-ai/ Fri, 27 Mar 2026 12:50:01 +0000 https://martechseries.com/?p=397617

VisiGEO empowers brands to boost AI visibility and stay competitive as search shifts from SEO to AI-driven answers.

In the age of ChatGPT, Perplexity, and Claude, your customers are no longer typing keywords into Google—they’re asking AI directly. The question is: when AI answers, does it mention your brand?

Focus Technology Co., Ltd. today announces the launch of VisiGEO, the comprehensive Generative Engine Optimization (GEO) SaaS platform designed to put independent sites and brand websites on the AI map.

Why Traditional SEO Isn’t Enough

Search is undergoing its biggest shift since Google. Users now trust AI engines to synthesize answers, compare options, and recommend brands—all without visiting a single website. If your brand isn’t in the AI’s training data or visible during real-time retrieval, you’re invisible to the next generation of buyers.

VisiGEO changes the game with a standardized, three-phase workflow that transforms abstract AI optimization into actionable results.

Phase 1: Know Where You Stand

Before optimizing, you need intelligence. VisiGEO’s AI Visibility Analysis gives brands a comprehensive battle map of their current presence across major AI engines. See exactly how often you’re mentioned, what sentiment AI associates with your brand, and—crucially—which competitors are stealing your share of voice. This isn’t a one-time report; it’s continuous monitoring as AI landscapes evolve.

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

Phase 2: Build an AI-Friendly Digital Home

Your website needs to speak AI. VisiGEO’s Website GEO Audit identifies and fixes the technical barriers blocking AI crawlers—from robots.txt misconfigurations that accidentally ban GPTBot, to missing Schema markup that prevents proper understanding. The platform generates LLMs.txt files that serve as clean, code-free “official guides” for AI agents, ensuring your core value propositions are captured accurately. Plus, the GEO Content Creator generates and restructures content specifically designed for how large language models parse and prioritize information.

Phase 3: Own the Conversation Beyond Your Site

AI doesn’t just read your website—it reads the entire web. VisiGEO helps brands generate authoritative, third-party content with proper citations and objective comparisons, then provides strategic guidance on where to publish for maximum AI impact: high-authority platforms like Reddit, Quora, industry forums, and trusted news sources that AI engines weight heavily in their recommendations.

Built for the AI-First Future

“Every brand with a website is now an AI publisher, whether they realize it or not,” said Rachel Cao, Vice President of Focus Technology Co., Ltd. “We’re giving businesses the tools to ensure they’re not just found, but favored by the AI systems their customers now rely on.”

Whether you run an independent e-commerce store, manage a corporate brand site, or lead marketing for an industry giant, VisiGEO provides the infrastructure to turn AI visibility from an uncertainty into a competitive advantage.

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ViewLift and MyOutdoorTV Launch Conversational AI Search to Transform Streaming Discovery for Outdoor Enthusiasts https://martechseries.com/predictive-ai/ai-platforms-machine-learning/viewlift-and-myoutdoortv-launch-conversational-ai-search-to-transform-streaming-discovery-for-outdoor-enthusiasts/ Thu, 26 Mar 2026 13:56:26 +0000 https://martechseries.com/?p=397542 New AI-powered feature enables natural language content discovery across MOTV’s extensive hunting, fishing, and adventure programming library

ViewLift, a global leader in digital streaming technology, and MyOutdoorTV (MOTV), the premier subscription streaming platform for outdoor lifestyle programming, announced the launch of ViewLift Conversational AI Search, an advanced AI-powered discovery capability designed to help subscribers find relevant outdoor content faster and more intuitively.

New AI-powered feature enables natural language content discovery across MOTV’s extensive adventure programming library.

The new feature enables natural language search across the MyOutdoorTV platform, currently available on the web with connected TV voice support rolling out in the near term. By moving beyond traditional keyword search, the system interprets user intent to deliver highly relevant results across MOTV’s extensive library of hunting, fishing, and outdoor adventure content.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Powered by a semantic intelligence layer that combines vector search with retrieval-augmented generation (RAG), the technology analyzes titles, deep metadata, and transcripts across MOTV’s catalog to understand context, intent, and relationships between topics. The result is a discovery experience similar to the intuitive search used by leading streaming platforms such as Netflix—allowing viewers to move beyond simple keyword matches and surface highly relevant content through natural language queries. For example, users can search with detailed prompts such as “Show me archery elk hunts in the Colorado Rockies” or “Find fly fishing techniques for trout in fast-moving water,” instantly retrieving the most relevant videos from across the library.

“At ViewLift, our focus is on using AI to create experiences for end customers leveraging the latest technology only used by big companies like Netflix. This new experience allows users to search using concepts, keywords by typing or using voice.” said Manik Bambha, President of ViewLift. “Conversational discovery dramatically reduces the time between intent and viewing. For MyOutdoorTV’s passionate audience, it means faster access to the exact hunting, fishing, or outdoor content they want, while increasing engagement across the platform.”

Search results appear in a dynamic visual video grid, enabling subscribers to browse multiple experts, shows, and techniques simultaneously. As viewers refine their search within the same session, results update instantly to reflect the evolving conversation.

To further streamline discovery, the interface includes an interactive hover-to-play trailer capability, allowing viewers to preview clips directly from the search grid before launching full episodes. This reduces search friction and helps audiences quickly validate whether a program matches their interests.

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“With thousands of episodes covering every aspect of the outdoor lifestyle, helping subscribers discover relevant content quickly is essential,” said Sean Luxton, Sr. Vice President and General Manager at MOTV. “ViewLift’s Conversational AI Search introduces a smarter, more intuitive way for hunters, anglers, and outdoor enthusiasts to explore our programming and connect with the content they love.”

The conversational search experience also supports contextual follow-up queries, enabling viewers to refine results without restarting their search—for example, filtering by a specific expert, species, technique, or location.

By shifting from keyword-based discovery to intent-based conversational navigation, the new feature is designed to reduce search fatigue, surface long-tail content across MOTV’s library, and increase overall viewing time.

The launch represents a significant step forward in applying generative AI and semantic search technologies to OTT streaming platforms, positioning ViewLift and MyOutdoorTV at the forefront of AI-driven content discovery for specialized video services.

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UiPath Announces New Agentic Solution to Accelerate Procurement Cycles https://martechseries.com/sales-marketing/marketing-automation/uipath-announces-new-agentic-solution-to-accelerate-procurement-cycles/ Wed, 25 Mar 2026 13:16:33 +0000 https://martechseries.com/?p=397431

UiPath Logo

New UiPath Solution for Purchase-to-Pay reduces operational costs, automates exception handling, improves efficiency and supplier relationships across procurement and accounts payable workflows

UiPath , a global leader in agentic automation, announced the UiPath Solution for Purchase-to-Pay (P2P), a purpose-built agentic AI solution designed to help finance teams embed agents in their processes, reducing processing costs and improving efficiency across procurement and accounts payable operations. The solution will be in controlled general availability in the coming months.

Finance leaders are under constant pressure to improve efficiency while maintaining strong financial controls.

Purchase-to-pay is still largely a process of handoffs between multiple systems of record (ERP, CRM, etc.) lacking clean integration, incomplete data, and approval of workflows that slow down even routine purchases. The cost of this disjointed workflow shows up in discount capture leakage, supplier friction, compliance gaps, and finance teams spending more time chasing exceptions than driving strategy.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

The UiPath Solution for Purchase-to-Pay introduces an agentic execution layer above existing systems of record. It combines AI agents, automation workflows, and end-to-end orchestration to reduce manual effort and processing costs. This results in shortened invoice cycle times, improved visibility across procurement and accounts payable operations, and accelerated invoice and payment processing.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

Utilizing UiPath Intelligent Xtraction and Processing (IXP) and governed exception handling, the solution automates complex steps across the P2P lifecycle. On the buying side, AI agents route approvals to the appropriate stakeholders and proactively reach out—via Teams or Slack—without leaving their workflow. On the invoice side, agents ingest invoices from email, PDF, portals, and EDI, match them to POs, classify mismatches, and guide exception resolution, so only the items that truly need a human decision get escalated. Orchestrated workflows, through UiPath Maestro, coordinate tasks across procurement, finance, and ERP systems, ensuring information flows seamlessly between teams and applications. By automating both guided buying upstream and invoice processing downstream, organizations can reduce cost and time to process invoices, raise touchless rates, and speed exception resolution—all while keeping the ERP authoritative and controls intact.

“Finance leaders are under constant pressure to improve efficiency while maintaining strong financial controls,” said Hitesh Ramani, Chief Accounting Officer and Deputy CFO at UiPath. “Our UiPath Solution for Purchase-to-pay will help organizations close gaps in procurement and accounts payable workflows. By reducing manual effort and intelligently managing exceptions, finance teams will be able to process transactions faster and focus more of their time on strategic, value-driven work.”

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Ketch Announces Enterprise Marketing Preference Management to Power Permissioned, AI-Ready Data https://martechseries.com/predictive-ai/ai-platforms-machine-learning/ketch-announces-enterprise-marketing-preference-management-to-power-permissioned-ai-ready-data/ Wed, 11 Mar 2026 13:23:04 +0000 https://martechseries.com/?p=396652

Ketch logo

Expanded integrations, enterprise-grade preference center capabilities, and advanced orchestration will help brands collect and activate zero-party data

Ketch, the AI Privacy Company, announced enhanced capabilities for its Marketing Preference Management product to help enterprise brands drive stronger customer engagement and revenue growth through permissioned, “zero-party” data.

AI is reshaping how brands engage customers, raising the stakes for how data is collected and used. Fragmented systems and inconsistent data, however, leave marketers unsure about what they can confidently activate. When consent, preferences, and customer attributes aren’t synchronized across platforms, personalization breaks down and engagement declines. Marketing tools assume permission is handled elsewhere, while most privacy tools are compliance-first, not customer-first. As a result, enterprises are forced into a false choice between growth and governance.

Ketch Marketing Preference Management redefines the collection and activation of high-value customer data by turning permissioning into an always-on, active-everywhere capability for the modern marketer.

Built on Ketch permissioning infrastructure, Ketch Marketing Preference Management enables brands to collect high-value zero-party data – information customers intentionally share with a brand – and activate it seamlessly across complex martech ecosystems, including systems like Salesforce, Segment, and Braze. By unifying consent, communication preferences, privacy choices, and personalization controls in one system, Ketch ensures data is clean, synchronized, and ready for AI-enabled activation.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

“Consent moments are some of the most overlooked real estate in digital engagement,” said Tom Chavez, Co-Founder and CEO of Ketch. “A cookie banner isn’t just a compliance requirement – it’s an opportunity to engage with a prospective customer. We built Marketing Preference Management so brands can converge consent and preference experiences into opportunities for permissioned, zero-party data capture to fuel AI, growth, and customer engagement initiatives.”

Core product innovations include:

  • Zero-Party Data Enablement: Progressive, permissioned profiling and dynamic experiences that encourage customers to share declared, high-value data across their digital journeys.
  • Data Harmonization: Orchestrated synchronization of consent, preferences, and customer attributes across all activation platforms, AI, and data initiatives.
  • Enterprise-Grade Preference Center: A highly customizable, pixel-perfect interface integrating privacy, communication, and personalization controls.
  • Plug-and-Play Deployment: Native integrations and streamlined implementation without heavy engineering lift.

Marketing teams often capture data that never reaches the right systems. Preferences become siloed, personalization suffers, and engagement declines – not because trust is broken, but because experiences lack relevance. Ketch helps brands generate more usable customer data, ensure consistency across platforms, and create meaningful dialogue that benefits consumers while driving topline growth.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

“Marketing teams have spent the last decade building increasingly sophisticated ways to activate customer data, but the systems for managing consent and customer preferences still aren’t connected to the channels and platforms where activation happens,” said Jon Suarez-Davis, Chief Strategy Officer at Transparent Partners. “As AI raises the stakes for data quality and trust, brands need unified systems that keep consent, customer preferences, and activation synchronized across channels and throughout the martech stack.”

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Amperity Introduces the First Enterprise Customer Data Agent that Turns AI Insight Into Live Segments and Journeys https://martechseries.com/predictive-ai/ai-platforms-machine-learning/amperity-introduces-the-first-enterprise-customer-data-agent-that-turns-ai-insight-into-live-segments-and-journeys/ Fri, 09 Jan 2026 07:19:22 +0000 https://martechseries.com/?p=393691

Amperity Logo

AI Agent brings trusted, unified customer data and AI together so marketers can activate insights without relying on engineering teams

Amperity, the leading AI-powered Customer Data Cloud, introduced its Customer Data Agent, the first enterprise AI agent that combines AI insights with actionable results. Built on unified customer data, the Customer Data Agent builds on Amperity’s proven segmentation and journey capabilities by making insights even more accessible. Marketers can move from question to activation faster, creating segments and journeys with greater speed and confidence.

“AI will not reach its potential in marketing until it’s tied directly to unified customer data,” said Tapan Patel, research director at IDC.

This launch marks a shift in how marketers utilize AI on a day-to-day basis. Gaining access to the right customer data and insights remains a bottleneck for many teams, slowing decisions and delaying action. The Customer Data Agent eliminates this friction by providing marketers with conversational, natural-language access to unified and trusted customer data. This access helps them explore insights, make decisions faster, and turn those decisions into activation-ready segments and journeys, closing the gap between understanding and action.

“AI will not reach its potential in marketing until it’s tied directly to unified customer data,” said Tapan Patel, research director at IDC. “What Amperity is introducing with the Customer Data Agent reflects an important step forward for the category. It shows how AI can move from simply providing customer insights to actually helping marketers decide what to do next. With customer understanding built into everyday work, teams can optimize segments, improve journeys, and launch campaigns without waiting on more reports or engineering queues.”

A New Model for AI in the Enterprise

The Customer Data Agent introduces a new model for enterprise AI, one that begins with trusted data and culminates in real-world impact. Powered by Amperity’s patented identity resolution, the Customer Data Agent operates on a complete and accurate view of the customer. This foundation unlocks AI that can be relied on not just to surface insights, but to support faster decisions and confident action, something that isn’t possible when AI is applied to fragmented or system-level data.

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With this release, the Customer Data Agent:

  • Acts on unified and real-time customer profiles rather than fractured system-level records
  • Orchestrates specialized agents for segmentation, journey design, and analytics to deliver complete outputs
  • Helps teams move from AI insight to revenue impact in hours rather than weeks

AI That Works the Way Marketers Work

Instead of translating questions into queries or tickets, marketing teams can simply ask for what they need. For example, they can ask:

  • “Build me a segment of high-value customers likely to repurchase this quarter.”
  • “Design a journey for first-time buyers with declining engagement.”
  • “Show me which customer groups are driving the most incremental revenue.”

The Agent then produces the answer and can route it directly into activation, measurement, or optimization.

“Companies have invested heavily in AI, but most of the value gets stuck between the model and the workflow,” said Derek Slager, co-founder and CTO at Amperity. “The Customer Data Agent closes that gap. It understands the customer, it understands the task, and it delivers the output without adding another backlog to engineering. That’s what moves the needle for consumer brands.”

Why It Matters Now

AI is becoming central to enterprise strategy, yet many organizations still struggle to translate model output into meaningful business outcomes. The barrier is rarely the model. It is the data foundation and the operational layers required to act on AI outputs.

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Adform Strengthens Omnichannel Media Buying With Strategic Acquisition Of Goldbach’s Advertising Technology Division, Splicky https://martechseries.com/sales-marketing/programmatic-buying/adform-strengthens-omnichannel-media-buying-with-strategic-acquisition-of-goldbachs-advertising-technology-division-splicky/ Mon, 22 Dec 2025 12:36:52 +0000 https://martechseries.com/?p=393209

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Adform, Europe’s leading independent media buying platform, today announced the acquisition of Splicky, the advertising technology division of Goldbach Group, one of Switzerland’s largest advertising marketers. Founded in Berlin, Splicky has built a strong footprint across the DACH region and is a recognised leader in Digital Out-of-Home (DOOH) advertising.

The acquisition strengthens Adform’s global omnichannel platform by adding deep local market expertise and high-quality DOOH capabilities in one of Europe’s most advanced programmatic markets. Together, Adform and Splicky will expand service offerings for existing and new clients, enabling more effective activation of previously fragmented channels while delivering stronger local support, greater operational scale, and a more unified omnichannel buying experience.

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As advertisers increasingly seek transparent and integrated ways to reach audiences across channels, the combination brings together Adform’s global technology with Splicky’s local market leadership. Advertisers and agencies will benefit from the ability to plan, activate, and optimise DOOH inventory with the same intelligence, transparency, and data-driven approach used across display, video, audio, CTV, and additional formats on the Adform platform.

As a subsidiary of Goldbach Group AG, one of the largest advertising marketers in Switzerland, Splicky has been the preferred partner for programmatic access to proprietary inventory across the Goldbach and Tamedia portfolios. Working with close to 200 customers, Splicky has built deep, long-standing partnerships with agencies and advertisers across the region. Its strong publisher relationships and DOOH expertise complement Adform’s global scale, advanced technology, and end-to-end media buying platform.

Troels Philip Jensen, CEO, Adform, comments: “First and foremost, the increased scale that this combination ensures is great news for our clients. We will accelerate our capabilities, presence, and partnerships to the benefit of both Splicky and Adform clients. The acquisition strengthens our position in the DACH region, adds important digital out-of-home capabilities, and accelerates our strategy of expansion into high-growth emerging channels. Splicky brings deep local expertise, trusted publisher relationships, and a strong service-driven culture that aligns well with Adform.”

Christoph Marty, CEO of Goldbach Group, comments: “I am pleased for Sven and his team to have found a new home in Adform, where everything revolves around ad tech and the ecosystem that is highly relevant for Splicky.”

Sven Ruppert, Managing Director of Splicky, comments: “We are now looking forward to writing a new chapter together with Adform. In this new setup, we will continue to focus on innovation and close customer relationships on the ground. In addition to a complementary geographic footprint, we share a common vision: to offer European advertisers a first-class alternative to large American technology companies.”

Closing of the acquisition is subject to usual closing conditions, which Goldbach and Adform are actively working on, and is planned to take place on December 31, 2025.

Adform is the most powerful and safe media buying platform built for game changers. With a 20+ year history of delivering service excellence and forward-looking technology, Adform enables major brands, agencies, and publishers to create, buy, and sell digital advertising globally. Having pushed the boundaries through augmented intelligence and an industry-leading identity solution, Adform has consistently changed the game for digital advertisers.

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