AI News

For the past several years, marketing strategy has reorganized itself around a simple premise. Third-party data is fading. Privacy expectations are rising. The solution, we are told, is first-party data. Collect more of it. Centralize it. Build the customer view around it. In many ways, the shift was necessary. Direct relationships with customers are more […]

CMOs are under pressure to prove their value, and many are struggling to do it. Much of marketing’s impact is difficult to measure in the way finance evaluates performance. While CMOs focus on long-term brand building, CFOs prioritize short-term, on-paper financial results. That disconnect shapes how marketing is judged. The core issue is not measurement

Great CMOs, CEOs and CFOs thrive on honest insights and recognized truths, things that are intellectually understood but often forgotten. Allow me to drop a truth bomb: Performance marketing doesn’t create demand. It captures it. If the water tank isn’t full, your best performance campaigns just become expensive new low-flow faucets. Organic traffic is down.

Consumers are still concerned about privacy, but they are getting more comfortable trading data for better product recommendations. Share a little about what you’ve browsed or bought, and the experience gets faster and more relevant. But that openness has limits, and when brands push past what feels fair or transparent, trust drops quickly. To improve

Zeta Global is pushing its AI strategy into a new phase with the general availability today of Athena, positioning it as the foundation for what it calls a “superintelligent marketing” era. The pitch is less about new features and more about changing how marketing systems work. The company says Athena brings together data, identity and

Consolidation is back on the agenda for many martech teams. The CFO is scrutinizing spend. Your marketing budget is flat.  Every major platform vendor (CRM, MAP, CDP, attribution) has an ROI model prepared that makes the case for consolidation. The problem is what the model leaves out. The case for consolidation and why it’s incomplete

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 the broader internet. Question: What realistic ROI models can B2B teams use to justify deeper workflow integration of AI tools across the marketing lifecycle? MarTechBot’s answer:

AI won’t make SEO obsolete, but it’ll change how the work gets done. There’s a growing concern that as AI systems improve, they’ll replace the need for human SEO analysis entirely. Early experiments suggest otherwise. While AI can assist with technical tasks and even generate usable outputs, it still depends heavily on detailed human input, structured data

As AI promises to automate 90% of your administrative tasks, are you ready to stake your brand’s future on the remaining 10% — the high-value human judgment machines can’t replicate? With enterprise AI adoption maturing from mass experimentation to results-driven, with marketing leadership being asked to prove ROI, marketing organizations are encountering what could be

Marketers are confident in fewer channels than they think, and that concentration of confidence is driving where budgets go. That’s one of the clearest signals from the 2026 Haus Decision Confidence Index. When you look at how marketers evaluate performance today, confidence isn’t evenly distributed. It’s concentrated. And that concentration is starting to dictate investment