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Many SaaS stocks are plummeting. Vendors are shipping more features, and many are adding AI. But adding more features and layering in AI aren’t increasing the outcomes customers care about. For two decades, SaaS grew by shipping features — more modules, more seats, and more functionality. Customers paid for access to what your product made […]

Here is a number that should stop every martech leader mid-sentence. Frans Riemersma’s April analysis found that 90.3% of companies report using AI agents, but only 23.3% have them in production. Just 6.3% have fully integrated AI into their marketing stack. That is an 84-point gap between experimentation and governance. And the platform most teams

In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet. Q: As martech, adtech and sales tech converge, how should B2B organizations restructure their RevOps teams to avoid cultural silos while maintaining

AI is no longer a future disruptor for marketing. It is already changing discovery and buying decisions, and how organizations evaluate market opportunities and compete for growth. Despite this, many marketing leaders are still being evaluated primarily on campaign execution rather than their ability to guide enterprise transformation. Gartner research shows a striking disconnect. While

AI is becoming a standard part of how people shop, but there is a clear limit to how far consumers are willing to let it go. New data from Exploding Topics shows 77.6% of consumers have used AI to help with shopping in the past six months, with more than 43% doing so weekly. That

I went to a developer conference and, by accident, learned something profound about human nature. It started innocently enough — the “All Things AI Conference” in Durham, NC, had a title too good to pass up.  What I didn’t expect was to be the only marketer among 2,500 developers, nodding along as whurly (yes, that’s

Marketing operations teams have long carried the weight of the tech stack, keeping systems running and data flowing behind the scenes. But the reality of modern MOps is that “maintenance mode” often consumes the bandwidth needed for strategic contribution. At the May 6th MarTech Conference, the session “The art of doing more with less: The

The bottleneck in content operations isn’t content creation. Research from the latest MarTech Intelligence Report on DAM platforms found that as asset volume, personalization demands, and channel complexity continue to climb, the chokepoint is likely in the systems required to manage, adapt, and distribute content at scale. Let’s start with content volume, because it’s at the root

There are a lot of conversations right now about the ‘SaaSpocalypse,’ and with good reason. Companies are already replacing software vendors and IT services with AI-enabled vibe coding versions. As AI lowers the barriers to building custom tools and the per-seat SaaS model starts to show its limits, marketers are reassessing which platforms earn their

SailPoint’s AI agent research found that 80% of organizations report their AI agents took unintended actions. Only 44% have formal governance policies in place. That 36-point gap is not a bug. It is the default operating state of most AI deployments right now. And the fix most teams reach for first makes it worse. Why