
Viralheat: The Predictive Social Analytics Pioneer That Became CisionOne
Viralheat: predictive social analytics pioneer, founded 2011 by Raj Kadam and Vishal Sankhla, acquired by Cision March 2015. The technology became CisionOne.
The cookie didn't die. The middle of the AdTech stack did.


Viralheat: predictive social analytics pioneer, founded 2011 by Raj Kadam and Vishal Sankhla, acquired by Cision March 2015. The technology became CisionOne.





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.
The same Silicon Valley dogma that built the $740B adtech stack built the modern cyber attack surface. Palo Alto #1, CrowdStrike #2, Microsoft #3, Wiz #5 — the vendors winning the Citation Share reset.

Marketing terminology for new age innovation has become as hyped laden as any cheesy ad campaign ever created. What are the effects of terminology on developments in the short and long term. How should you describe your technology? Here are some terms you should never use when describing your development to anyone, followed by some suggestions and reasoning.