Case Study: Tinder achieves real-time, scalable behavioral analytics with Interana

Tinder Swipes Right on Interana

Tinder, a global social discovery app with tens of millions of users generating about 1.8 billion swipes and 26 million matches per day, needed fast, behavior-based insights to improve engagement, conversion and retention. Hadoop proved too slow, costly and engineer-dependent for the volume and type of event queries Tinder required, and non-technical teams could not self-serve the analytics they needed.

Tinder adopted Interana, a behavioral analytics platform that scales to trillions of rows while keeping query latency to seconds and provides visual, self-service tools (cohorts, funnels, retention, root-cause analysis). The result: cross-functional teams get rapid, actionable insights—driving product changes (e.g., Super Like tuning, swipe limits), faster issue diagnosis, better marketing measurement and improved match quality—without large maintenance overhead.

Tinder

Dan Gould

Vice President Technology, Tinder