Case Study: Patya Analytics achieves immediate access to clean user-level growth data and scalable LTV-driven campaigns with Tenjin DataVault

Growth Data Infrastructure Based on Datavault Makes it Simple for Clients of Data Science Agency Patya to Compete

Patya Analytics is a data science and business intelligence agency that helps app and game companies unlock value from mobile data. Their challenge was that many clients lack internal data science teams or easy access to clean, user‑level growth data—projects became time‑consuming band‑aids, and marketing teams were blocked by engineering gatekeepers. Patya turned to Tenjin and its DataVault product to solve that access and integration problem.

Tenjin implemented DataVault to provide immediate access to clean, user‑level growth data for Patya and its clients, removing the engineering bottleneck and cutting the heavy data‑cleaning burden (Patya reported spending ~80% of project time on cleaning before). With Tenjin’s DataVault, Patya’s clients now build unique Facebook lookalikes, run AdWords at scale, change game mechanics to target high‑value segments, run campaigns on daily LTV predictions, and enrich Tenjin data with other sources—delivering faster, measurable impact to growth and monetization.

Patya Analytics

Elisabeth Reitmayr

Co-founder and Data Analyst