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Google has quietly published a new help page explaining how its Universal Commerce Protocol works, giving merchants a clearer look at how checkout flows now operate across Google surfaces. The new documentation breaks down how UCP and its UCP-powered checkout enable a native Buy button that keeps the entire transaction on Google properties. The merchant […]

Around Q3 of last year, I started hearing the word “context” pop up in many of my conversations. It was noticeable because previously, data was all anyone wanted to talk about.  We all know how the vocabulary of the business world works. When everyone starts talking about something, we come up with a different word

Publishers have spent the past few years watching their traffic slide — in some cases by more than 50% from search alone — while AI systems ingest and summarize their content at scale. The imbalance has been obvious. The infrastructure to power AI is highly commercialized. The information feeding it is not. The IAB Tech

If you’ve led marketing long enough, you’ve lived this moment. You’re in a quarterly review meeting. Revenue’s under pressure, the pipeline isn’t where leadership expected it to be and everyone’s looking for answers. You open the deck and walk through the slides — multi-touch attribution, channel performance, funnel conversion, dashboards glowing with influence. You explain

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: How might adopting an open semantic data standard like OSI change martech vendor selection and integration RFP processes? MarTechBot’s answer: The adoption

Here’s a question every marketing leader should be asking right now: How healthy are your customer relationships? Not your campaigns, not your channels but the actual relationships.  It’s a harder question than it sounds. Most organizations have spent the last two decades building around channels.   Email had a team. Social had a team. In-store, ecommerce,

Most marketing assumes recognized pain points. Customers know they have issues, so they search for solutions. Your job as a marketer is to position your product as the best answer. But what happens when your innovation solves a problem audiences haven’t recognized yet? When customers are satisfied with the status quo, even though better alternatives

Every CDP vendor says they’re real-time. But marketers don’t buy real-time. They buy outcomes: timely personalization, smarter lifecycle messaging, cleaner suppression, fewer awkward experiences and less wasted spend. In 2026, the gap between real-time claims and real marketing impact shows up in one place: how quickly your CDP can turn fresh customer behavior into updated

AI agents are spreading quickly across organizations. They’re replacing specific components, layering on top of existing systems and introducing something fundamentally new: probabilistic decision-making inside deterministic architectures. The question isn’t whether to use agents. It’s whether you’re deliberately architecting how they operate within your business. Without clear boundaries, complexity scales faster than value. Here’s a

For marketing teams, AI is acceleration. For many customers, it’s a ride to someone else’s destination. Braze’s “Global Customer Engagement Review 2026” paints a picture that should make marketing leaders pause. On the one hand, adoption within marketing teams is nearly universal. On the other hand, consumers remain skeptical about how — and why —