Case Study: Redfin saves 2-4 weeks per month and triples task completion with Heap

A Heap Case Study

Preview of the Redfin Case Study

Redfin saves 2-4 weeks of work per month with Heap

Redfin, a technology-driven real estate brokerage, needed better visibility into how agents and support staff used its decade-old internal tools. Manual event instrumentation and heavy SQL dependence made it slow and costly to run funnel analyses, segment users, and validate redesigns—forcing reliance on engineers and analysts and limiting the team’s ability to iterate quickly.

By adopting Heap’s automatic event capture and self-serve analytics, Redfin’s product teams gained fast segmentation, funnel analysis, and the ability to test hypotheses without engineering support. The change cut analytics work dramatically (saving an estimated 2–4 weeks of effort per month), tripled completion rates for a key task flow, reduced manual drive-time adjustments, enabled sunsetting unused features, and accelerated rollout decisions across markets.


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Redfin

Nick Smith

Senior Product Manager


Heap

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