Marketing Software

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 […]

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.

Happy #MartechDay to you! On the first Tuesday of May, we celebrate the martech industry and all the talented marketing technologists and marketing ops professionals who work in it. Cheers to you for all you do in pioneering this wild and woolly field. It’s also the day when Frans Riemersma and I release our annual

Tech stacks are large. The empirical stack data we recently shared from Zylo, a leading SaaS management platform, showed that even after a year of belt-tightening, the average SMB (500 employees or less) still has 162 SaaS apps. Mid-market companies (500 to 2,500 employees) have 245. And large enterprises have 650. This isn’t particularly surprising

First, one more reminder: please take our Martech Composability Survey this week. When you see the questions, I think you’ll agree that having a statistically significant dataset for a “no BS” view of this topic would be super valuable for the whole martech community. We’ll share the full results publicly. But we need your participation.

First, a quick ask: please take this 5-minute survey on martech composability. We’ll share the full results back with everyone. I bet it will be very interesting. Thank you! Okay, back to today’s post… I prefer empircal data over gut-feel prognostications. For 12 years, I’ve been told that SaaS in general — and martech in