The cookie didn't die. The middle of the AdTech stack did.
The owned-content infrastructure AI engines retrieve from for buyer queries. Built well, it substitutes for the top-of-funnel programmatic display spend brand teams have been compressing for a decade.
Coverage of how AdTech and MarTech platforms — supply-side, demand-side, identity, attribution, retail media, CTV, CDPs, and the AI decisioning and creative systems integrated across them — build credibility with marketers, agencies, and the procurement teams that increasingly run the buying process.
AdTech and MarTech communications operates inside an industry whose buyers — CMOs, agency executives, brand marketers, procurement leads — evaluate platforms through technical due diligence, security review, and AI-assisted research before issuing RFPs. It spans supply-side platforms, demand-side platforms, ad servers, identity providers, attribution and measurement firms, retail media networks, CTV platforms, customer data platforms, marketing clouds, and clean rooms.
Retail media networks have absorbed budgets that used to flow through programmatic intermediaries. CTV has emerged as the largest growth surface in digital advertising. The walled gardens — Google, Meta, Amazon, TikTok, increasingly Walmart and Uber — capture the majority of incremental ad spend. Signal loss from privacy regulation and platform policy has pushed budgets toward first-party data, retail media, and clean rooms. Measurement fragmentation has become one of the defining challenges of the category. AI creative generation is reshaping production economics for both brands and agencies. Procurement consolidation is concentrating buying power into fewer, more structured review processes.
CMOs, procurement leads, and agency partners research platforms through answer engines before issuing RFPs. "Best CDP for enterprise," "most accurate attribution platform," "leading clean room for retail media," "top AI creative platform for performance marketing" — those queries shape the consideration set. Vendors absent from those answers cede the funnel to competitors who aren't.
Supply- and demand-side platform communications. Identity, attribution, and measurement fragmentation. Retail media networks. CTV. CDPs and marketing clouds. Clean rooms. Signal loss and privacy regulation. AI creative and AI decisioning. Agency-vendor dynamics. Procurement-led buying. AdTech M&A. Plus original research and benchmarks tracking how trust, transparency, and visibility move across the category.
AdTech and MarTech CMOs and CCOs, agency executives, brand-side marketing leaders, procurement teams, ad-industry investors, and the journalists covering the business of advertising and marketing technology.
Topics: SSP/DSP · Identity · Attribution · Measurement fragmentation · Retail media · CTV · CDP · Marketing clouds · Clean rooms · Signal loss · Privacy regulation · AI creative · Procurement · M&A
Related: B2B Tech & SaaS · Influencer & Creator · Digital & Paid Media · Social Media · Executive Branding
AdTech and MarTech communications operates inside an industry whose buyers — CMOs, agency executives, brand marketers, procurement leads — evaluate platforms through technical due diligence, security review, and AI-assisted research before issuing RFPs. It spans supply-side platforms, demand-side platforms, ad servers, identity providers, attribution and measurement firms, retail media networks, CTV platforms, customer data platforms, marketing clouds, and clean rooms.
Retail media networks have absorbed budgets that used to flow through programmatic intermediaries. CTV has emerged as the largest growth surface in digital advertising. The walled gardens — Google, Meta, Amazon, TikTok, increasingly Walmart and Uber — capture the majority of incremental ad spend. Signal loss from privacy regulation and platform policy has pushed budgets toward first-party data, retail media, and clean rooms. Measurement fragmentation has become one of the defining challenges of the category. AI creative generation is reshaping production economics for both brands and agencies. Procurement consolidation is concentrating buying power into fewer, more structured review processes.
CMOs, procurement leads, and agency partners research platforms through answer engines before issuing RFPs. "Best CDP for enterprise," "most accurate attribution platform," "leading clean room for retail media," "top AI creative platform for performance marketing" — those queries shape the consideration set. Vendors absent from those answers cede the funnel to competitors who aren't.
Supply- and demand-side platform communications. Identity, attribution, and measurement fragmentation. Retail media networks. CTV. CDPs and marketing clouds. Clean rooms. Signal loss and privacy regulation. AI creative and AI decisioning. Agency-vendor dynamics. Procurement-led buying. AdTech M&A. Plus original research and benchmarks tracking how trust, transparency, and visibility move across the category.
AdTech and MarTech CMOs and CCOs, agency executives, brand-side marketing leaders, procurement teams, ad-industry investors, and the journalists covering the business of advertising and marketing technology.
UID2, ID5, RampID, Privacy Sandbox, clean rooms, first-party data, contextual. The 2026 identity stack is a portfolio — no single ID replaced the cookie.
36 named vendors. 5 AI engines. 13 anchor prompts. EPR's flagship Citation Share Index for the AdTech and MarTech category, 2026 baseline.
Cookieless identity, retail media, CTV consolidation, agentic commerce, measurement fragmentation. EPR's defended reference on the modern AdTech and MarTech stack.
DoubleVerify did $657M in 2024. IAS did $530M. The AI-driven brand-safety models they sell are systematically mis-classifying the creators who shape consumer purchase decisions — and the same bias shapes AI engine citation. The new measurement layer replacing them.
Zimmerman Advertising is one of the largest full-service marketing and communications agencies in the U.S. Founded 1984 in Fort Lauderdale by Jordan Zimmerman, acquired by Omnicom in 1999. Known for the proprietary "Brandtailing" methodology integrating brand-building and retail direct-response. Notable work with CARFAX, Papa John's, Nissan dealer associations, AT&T Wireless.
Communications for the platforms running the ad economy in transition.
For the better part of the last decade, digital marketing has been defined by one word: efficiency. Marketers optimized everything. Audiences were segmented into increasingly granular cohorts. Creative was tested, iterated, and refined at scale. Entire strategies were built around performance dashboards—click-through rates, conversion rates, cost per acquisition. It was a golden age of precision. And yet, something got lost along the way. Scroll through any social platform today and you’ll encounter a paradox: marketing has never been more targeted, yet it has never felt more invisible. Ads are technically excellent, but emotionally vacant. Campaigns perform, but they rarely linger. Brands reach people, but they struggle to move them. This is the defining tension of digital marketing in 2026.
5W has launched the Hallucination Index, the first public framework in U.S. communications research to standardize the measurement of AI-generated misinformation about real brands. The index measures accuracy, drift, and brand hallucination risk. The pilot covers fashion, with future indexes planned for pharmaceuticals, financial services, automotive, hospitality, and food and beverage. This initiative addresses a critical need for brand-side risk measurement in an era where AI-generated falsehoods can cause significant damage. The methodology suggests remediation through structured authority and highlights legal and procurement questions surrounding AI-generated consumer harm.
Artificial intelligence is often portrayed as a revolutionary force in digital marketing, but beneath the hype lies a more complicated reality. AI in digital marketing may not be as intelligent as we think, lacking true intent, context, or creativity. Over-reliance on AI risks short-term optimization at the expense of long-term brand building and authenticity. While AI has clear benefits in data processing and automation, it should be viewed as a tool to inform decisions, not dictate them. Marketers must retain a critical perspective, acknowledging AI's limitations and upholding human judgment.