Last week, Mike Rizzo and team at MarketingOps.com hosted their annual MOps-Apalooza event with 400+ marketing ops people. I was honored to be one of their keynote speakers, and I’ll share the core theme of my talk with you in a moment. But first… They also released their annual State of the Marketing Operations Professionals, […]
Sorry that it’s been a while since I last posted. But I have a good excuse. Frans Riemersma and I have been deep in research on what’s happening in martech for the year ahead — a big part of which has been sorting through much fact vs. fiction with generative AI. What’s the deal with
I have two surveys for you that I think you’ll love. The first is one that I’m asking you to take: a cut-through-the-BS survey on the real ways in which you’re seeing gen AI used in your organization — or not. This data will contribute to the “Martech for 2025” report and virtual event Frans
If you’re reading this blog, it’s a safe bet that you’ve been involved in buying — or selling — martech software. Probably quite a bit of martech software. So I greatly appreciate that a number of you responded to my survey over LinkedIn asking what you loved and hated about that experience and which resources
Buying martech: what you love, what you hate, and who you trust (or not) Read More »
How do you know you’re at the peak of a Hype Cycle? When means outweigh ends. Martech professionals and marketing ops leaders are being driven to apply AI in marketing — use it for something, anything! — with the belief that automating and accelerating things with AI, especially with generative AI, must produce beneficial outcomes.
Will AI in martech make buyer experiences better or worse? It depends… Read More »
For 13 years of the ever-expanding martech landscape, conventional wisdom has predicted that our industry would consolidate. That conventional wisdom has failed spectacularly. Or more accurately, the conventional wisdom of the software industry from 10, 20, 30 years ago has been disrupted by new dynamics, in a new environment. The barriers to creating software are
In our recent State of Martech 2024 report — which is free and now fully ungated — Frans Riemersma and I analyzed a ton of transformation happening across the martech industry, from the AI-powered explosion of the martech landscape to three counterintuitive truths of “composability” in martech stacks. Two of our most important findings, however,
Take a guess at filling in the blank here: _______ is to AI Agents as Data is to AI Models The answer, as you likely surmised from my headline, is APIs. Let’s discuss why… Data is the differentiation in AI models For the past year and a half, the hyper hype cycle of AI madness
For years, the conventional wisdom in martech has been: the fewer apps in your stack, the better. It’s obvious, right? By reducing the number of apps, you will save money, have a better user experience, and improve your governance control. The CFO’s default answer to optimizing martech costs? Cut apps. The CIO’s default answer to
Yesterday we celebrated the 10th annual Stackie Awards as part of #MartechDay. Every year for the past decade, we’ve invited marketers to send in a single slide that illustrates their marketing tech stack and how they conceptualize it. From these entries, we select five “winners” whose visualizations we thought were particularly noteworthy in some way.
