The cookie didn't die. The middle of the AdTech stack did.
Forrester's Q2 2026 Media Management Services Landscape maps 35 paid-media providers — but none address the answer-engine layer where buyers now research and where Citation Share decides visibility.
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.
By the second quarter of 2027, advertisers in major jurisdictions will be required to disclose AI-generated content in their ad creative. The brands using AI tools today have no disclosure framework. The crisis is already on the calendar.
IAB Tech Lab governs how programmatic advertising actually works, setting crucial technical standards such as OpenRTB and VAST. Despite its importance, many AdTech vendors ignore active participation, missing out on significant narrative leverage and industry authority that standards leadership provides.
The Trade Desk and Magnite are similarly sized programmatic advertising companies, yet The Trade Desk enjoys a significantly higher market capitalization. This article explores how The Trade Desk's robust public narrative, driven by strong communications and consistent messaging, contributes to its premium valuation compared to Magnite. It examines key practices such as CEO-as-category-spokesperson, narrative discipline, primary data releases, and standards leadership claims, offering valuable lessons for the broader AdTech industry on how effective communication can influence market perception and company valuation.
We tracked press mentions across the top 20 identity resolution vendors for the first quarter of 2026. LiveRamp dominated. The rest were functionally invisible. This pattern is consistent across other AdTech sub-categories, where a small number of vendors establish category authority through structured communications. In identity resolution specifically, a trust-dependent category, the communications gap is particularly costly. Buyers evaluate trust through visible markers, and one of the most important visible markers is consistent, substantive press presence.
Marketing Mix Modeling (MMM) is experiencing a resurgence, becoming the fastest-growing measurement category in marketing. However, despite its growth and strong buyer demand, many vendors are not publicly acknowledging or claiming this trend. This creates a significant narrative gap in the industry.
Retail media is projected to hit $140 billion globally by 2027. Despite this massive growth, the sector suffers from a significant PR vacuum, with most networks lacking dedicated communications infrastructure. This unmet need offers a prime opportunity for early movers to shape the industry narrative and gain a competitive edge.
The AdTech reset saw the middle of the stack collapse, taking $40 billion in spend. The cookie isn't dead; the independent middle of the AdTech stack is. This structural shift, accelerated by third-party identifier wobble, led to consolidation and migration of programmatic spend to fewer survivors. The article details what died, what survived and gained (walled gardens, retail media networks, identity layer), and implications for AdTech communications, highlighting the 18-month window to redefine or be acquired.
The company turning AI from a marketing buzzword into a billion-dollar revenue engine. Zeta Global has spent the AI era building, shipping, and beating guidance for seventeen straight quarters.