Analytics & BI

The setup covers a consistent event taxonomy, MMP and SKAN configuration, dashboards that bring every channel into one view, and LTV and churn models. A data quality and QA step validates that measurement is reliable, and cohort analysis makes performance readable. The goal is for every team to make decisions from the same trusted source: a single source of truth.

For attribution, we work with MMPs such as AppsFlyer and Adjust, and with SKAN configuration for iOS measurement. If you already have a toolset, we assess it first and recommend a migration or reconfiguration if needed. On the dashboard layer, we build a reporting structure that combines data from all channels around your business goals. Tool selection is always the outcome of a needs analysis, never a decision made in advance.

It lets you make campaign decisions based on users' long-term value, not just day-one metrics. LTV forecasting shows which channels and cohorts actually create value, while a churn model surfaces the risk of users leaving before it happens. Budget allocation, targeting and product priorities then rest on data instead of guesswork, and read together with retention cohorts, it becomes clear whether your growth is sustainable.

This is one of the most common situations we see, and it usually comes down to inconsistencies in attribution settings, event definitions and reporting windows. We first audit your current measurement setup, standardize the event taxonomy and fix the MMP configuration. Then we bring all channels into a single dashboard with shared definitions, so the question of which number to trust goes away and you're no longer optimizing blind.