Case Study: Poshmark achieves real-time observability and faster A/B testing insights with Imply

How Poshmark Uses Druid to Monitor Their Platform in Real Time

Poshmark, a marketplace with more than 80 million registered users, needed faster visibility into user behavior and A/B test results. Using Imply’s Druid-based real-time analytics platform, the team moved away from waiting a day or two to crunch test data and needed a way to support analysis across 60+ data dimensions.

With Imply, Poshmark implemented real-time observability dashboards and analytics that cut dashboard load times to under 5 seconds and delivered A/B test insights in less than 2 seconds, often in under two seconds. This gave product and data teams near-instant access to platform usage data, helping them make faster decisions with significantly lower latency.

Poshmark

Mahesh Pasupuleti

VP of ML and Data Infrastructure