Back to Case Studies
Product AnalyticsExperimentationPersonalization6 months
Masters
Unified analytics and personalization so teams run trusted experiments and move faster.
Challenge
Events differed across platforms, identity resolution was incomplete, attribution windows varied by team, and promotions lacked consistent experiment signals.
Solution
Defined event taxonomy and tracking contracts, streamed events into a single warehouse, built cohort and retention views, and deployed a ranking model with experiment hooks and monitoring for lift and bias.
Results
Consistent measurement from acquisition through retention
Personalized offers with experiment controls
One KPI and dashboard set shared across teams
Tech Stack
PythonClickHouseApache KafkadbtAirflowFastAPILightGBMMetabase
Planning a production ML initiative?
Tell us what you want to automate or improve and we'll propose a clear, practical plan.
Request a Call