Case Study: badi cuts CPA by 30% and boosts listing completion to 85% with Adjust

badi - Customer Case Study

Badi is a Barcelona-based marketplace that matches people looking for rooms and flatmates across major European cities. As the company scaled it needed better visibility into the user journey—beyond installs—so it could optimize marketing and product decisions using in-app behavior. Their prior attribution solution lacked user-level, cross-device, real-time raw data, leaving the team unable to analyze behavior or measure true campaign ROI.

Badi migrated to Adjust to gain unrestricted, user-level raw data and tie mobile and desktop activity together. By feeding Adjust data into their big‑data backend and switching to behavioral tracking and clustering, Badi aligned marketing and product work, tested features by user cohort, and measured post-campaign ROI precisely. The changes drove roughly a 30% month-on-month drop in CPA, raised listing completion rates to about 85%, lifted republishing to around 40%, and improved funnel visibility and cross-device tracking.

badi

Guillem Pons

Chief Data Officer