A collection of data and analytics work from places like Census and Clearbit. Real problems, real constraints, real results.
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. The mistakes, the iterations, and what actually worked.
Read →What attribution actually looks like in practice. A conversation about what we measured, what we got wrong, and what actually mattered.
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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