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Google is adding new AI performance insights to Merchant Center, giving retailers a clearer view of how their products appear across AI-powered shopping experiences. The new reports are built for advertisers who want to understand product visibility across Google’s AI shopping surfaces. As more shoppers use conversational search via Search, Gemini, and AI Overviews, product […]

AI is changing how buying decisions are made. Consumers increasingly discover products through conversational interfaces that interpret intent, synthesize information, and recommend options in real time. In these environments, advertising is no longer confined to banners, sponsored placements, or search results. The recommendation itself becomes the ad. This shift is most visible in conversational AI

AI agents are supposed to automate marketing workflows at machine speed, but many martech platforms can barely support them. Behind the AI hype is a growing infrastructure problem: APIs built for humans clicking dashboards are becoming a bottleneck, preventing autonomous agents from working reliably across modern marketing stacks. A new public dataset from SaaStr —

Many marketers make the mistake of treating AI as a strategy. It’s not. AI is a tool, an accelerator, and, in some cases, a useful assistant. It can help you work faster, support ideation, and summarize data. AI tools can draft campaign copy, suggest subject lines, generate content variations, and reveal unexpected patterns. That helps

Most executive listening tours fail for one simple reason: They’re designed to collect feedback instead of uncovering the truth. Meetings get scheduled, leaders host town halls, surveys go out, themes get summarized, and nothing fundamentally changes. Employees and customers notice the gap between listening and action, and credibility erodes a little more each time. People

Marketing exists to create movement — from disinterest to curiosity, from curiosity to confidence, and from confidence to action, then hopefully, evangelism. Leverage is the ability to create that movement. I first started thinking about leverage through a graduate school negotiation case study taught by Prof. Ned Wellman. In the case study, a man named

Many marketers missed the initial opportunity to reimagine their organizational models before implementing AI technology. Now, they find themselves at the evolving intersection of AI, data, and modern marketing strategy.  In this episode of Conversations with MarTech, Ryan Warren, chief CRM officer at Razorfish, discusses why many organizations struggle to realize the full potential of

The 2025 MarTech Replacement Survey revealed a seeming contradiction: organizations are replacing fewer core platforms than at any point in the last three years, yet their stacks keep growing. In the 2025 survey, 59.9% of respondents said they’d replaced a marketing technology application in the previous year. That’s down from 69.8% at the 2022 peak

One of the biggest traps in marketing research and technology today is mistaking speed for impact. We’re focusing on doing more, being more efficient, and creating the next AI business. But we’re forgetting some of the fundamentals. The Red Queen hypothesis is an excellent metaphor for what’s happening in our industry right now. It suggests