Data and analytics work from Clearbit, Census, Customer.io and Augment Code. Builds, walkthroughs, and a few podcast conversations.
Back on Humans of Martech. Why building got cheap and maintenance didn't, the agents running a two-person data team, and what part of the analyst job is going away.
Listen →Figuring out which accounts actually matter. A practical walkthrough of building an ICP analysis and account fit score model - dogfooding our own product to solve a real GTM problem.
Read →Finding expansion revenue hiding in your data. Analyzing what makes best customers different and looking for the same patterns in everyone else.
Read →Catching disengaging customers early. Comparing usage across two time periods, scoring the trend, and syncing it to Braze.
Read →Making sense of usage data for your sales team. Turning raw user events into something actionable with AI.
Read →The messy reality of tracking what works. What attribution actually looks like when you're building it from scratch.
Read →What we built, broke, and rebuilt at Clearbit. Sales ignored the first model, so we replaced it with three layers.
Read →What attribution actually looks like in practice. Direct versus influenced, gated versus ungated, and where to stop chasing accuracy.
Listen →Data team of one at a 200-person startup. A conversation with Tristan Handy about building the data function from scratch at Clearbit.
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