Case Study: Reverb achieves scalable, streamlined data workflows and real-time personalization with mParticle

How Reverb’s engineers optimized their data workflows at scale and gave users the rockstar treatment

Reverb, the world’s largest online marketplace for musical instruments, faced growing complexity as it expanded across desktop, mobile web, iOS and Android: fragmented data, heavy self-built ETL pipelines, and a need to deliver personalized, in-session experiences for many different buyer and seller types. To address this, Reverb chose mParticle—deploying mParticle SDKs and its Audiences capability—to centralize event collection and simplify audience building across touchpoints.

By integrating mParticle (including the Profile API) as the hub of their data stack, Reverb eliminated manual data federation and heavy ETL maintenance, improved data quality (now recording every page view for clearer attribution), and easily forwarded canonical event data to tools like Amplitude. mParticle’s Audiences and Profile API enabled in-app personalization and “affinities,” freed analytics and engineering time for higher-value work, and allowed Reverb to onboard five new key tools without additional developer maintenance—delivering measurable reductions in maintenance overhead and faster time-to-insight.

Reverb

Geoff Massanek

Director of Engineering