Marketers have long treated data as the goal. AI flips that model. Here’s how to adapt your data strategy. By Chris Robson Published on March 26, 2026 It’s hard to believe now, but there was a time when people only collected data if they absolutely had to. The stereotyped images of the ‘70s … Continue reading Data built modern marketing, but AI is rewriting the rules
Google Integrates Kroger First-Party Shopper Data by Laurie Sullivan , Staff Writer, March 23, 2026 Google has begun working with Kroger Precision Marketing to integrate the retail giant’s first-party shopper data into YouTube and Google’s third-party inventory. Brands can now use what the companies call Kroger’s “high-intent shopper audiences” across YouTube to reach customers where … Continue reading Google Integrates Kroger First-Party Shopper Data
March 21, 2026 If you don’t trust Big Tech with your data, this is the chatbot for you BY Michael Grothaus Sure, when chatbots aren’t outright hallucinating, they can be helpful tools for gathering information, generating ideas, and completing tasks. But some of the biggest players in the AI chatbot space—including OpenAI, Google, and Meta—aren’t exactly … Continue reading If you don’t trust Big Tech with your data, this is the chatbot for you
Emotion data reveals how audiences actually respond to creative, helping brands fix weak messaging before spending millions on media. By Susan Ferrari March 13, 2026 Marketing campaigns often fail when the creative misses the mark. The product may be good and the targeting accurate, but the message doesn’t connect emotionally with the intended audience. … Continue reading Why emotion data is changing how ads get tested
At the March MarTech Conference, we discussed how to escape ‘data prison’ by focusing on operating models and culture over tech to finally end marketing silos. By MarTechBot March 13, 2026 We know the pressure of being told to “break down silos” while new ones seem to pop up every time a new channel … Continue reading Breaking free from data prison with a roadmap to unified customer insights
Privacy changes are weakening attribution models, making phone conversations one of the most valuable signals in marketing data. By Pamela Parker March 10, 2026 Phone conversations are now one of the most important first-party data sources in modern marketing measurement. As privacy changes weaken traditional attribution signals, conversation intelligence platforms are emerging as a … Continue reading The marketing data most companies still fail to measure
Big tech companies agree to not ruin your electric bill with AI data centers But everything else is still fair game. Anna Washenko Wed, March 4, 2026 massimo colombo via Getty Images Today the White House announced that several major players in tech and AI have agreed to steps that will keep electricity … Continue reading Big tech companies agree to not ruin your electric bill with AI data centers
Data was the new oil, but context is the new refinery. Because without a refinery, oil is just a smelly, toxic mess that often brings more harm than good. By Mike Pastore March 3, 2026 Around Q3 of last year, I started hearing the word “context” pop up in many of my conversations. … Continue reading The era of data dominance is over, and it didn’t last very long
AI agents, shared signals and fragmented identities are distorting marketing intelligence. Most brands do not know who is really acting. By AtData February 27, 2026 Somewhere inside your CRM is a customer who does not exist. They open emails at impossible hours. They redeem promotions with machine-like precision. They browse product pages across three … Continue reading The Data Doppelgänger problem by AtData
Unified AI across sales and marketing sounds great — until misaligned consent and governance rules stop it in its tracks. By MarTechBot February 23, 2026 In MarTech’s “MarTechBot explains it all” feature, we pose a marketing question to our very own MarTechBot, which is trained on the MarTech website archives and has access to … Continue reading How to future-proof your AI stack with data governance
