The MQL was the right abstraction for about a decade. It isn’t anymore. Lead scoring optimizes for the wrong metric, introduces latency where speed matters most, and creates the illusion of objectivity for what is actually a guess. Here’s what replaces it.

Most outbound frameworks wave their hands at "AI-powered personalization" and move on. This is the part nobody explains — the actual stack, what each layer does, and the operational mechanics that get demand gen leaders fired in month four when nobody set up DMARC correctly.

Most 90-day demand gen plans take 60 days to reach the part where pipeline actually gets generated. That's 60 days you don't have. Here's how to flip the pyramid — and why being wrong fast beats being theoretically correct in a planning doc.

I wrote a 26-page demand gen strategy for a company I really wanted to work for. It was thorough, defensible, and well-structured. It didn’t win me the job. Here’s what I’d write today.

Most demand generation teams are busy—campaigns launch, content ships, engagement looks healthy. But activity isn’t the same as momentum. This post explores why demand gen often feels productive without consistently creating pipeline.

Building a marketing ops function the first time teaches you the tools. Building it again teaches you judgement. This post reflects on what experience changes—what to simplify, what to delay, and how to build systems that work months later.

Marketing automation breaks down when lifecycle thinking is unclear. This post outlines the lead lifecycle framework I use to create alignment, reduce rework, and make automation actually work.

The tool is almost never the problem. I’ve audited hundreds of workflows across HubSpot, Pardot, and Marketo — here are the three patterns that actually break marketing automation.