Growth Analytics, with the whole app in view.
Centralized analytics engineering solves data silos, conflicting metrics, and fragmented reporting across disparate marketing, product, and financial platforms. Mobile companies often find their marketing data trapped in an MMP, product events isolated in an analytics tool, and transaction records confined to app store receipt logs. Without a unified data warehouse and single source of truth, leadership makes critical business decisions based on conflicting numbers.
What we can take care of
- Modern Data Stack architecture connecting mobile sources to centralized warehouses (Snowflake, BigQuery, Redshift)
- Automated ETL/ELT pipeline deployment integrating MMP, App Store Connect, Google Play Console, and payment data
- Data transformation modeling using dbt to produce clean, documented, and tested dimensional data marts
- Executive Business Intelligence dashboards in Tableau, Looker, Metabase, or Power BI
- Automated data hygiene testing, schema drift alerts, and anomaly detection rules
- Customer lifetime value (LTV) predictive modeling and cohort analysis data infrastructure
- Data governance frameworks ensuring privacy compliance with GDPR, CCPA, and app store telemetry guidelines
How we approach the work
We build robust, scalable analytics foundations that centralize all operational data. We deploy automated ingestion pipelines that extract raw records from app stores, attribution platforms, product telemetry, and payment gateways into your cloud warehouse. We model this data using modern transformation frameworks to standardize definitions of active users, churn, and revenue, delivering reliable, interactive BI dashboards that empower executive decision-making.
What progress looks like
Data pipeline uptime, sync latency, data discrepancy rates across systems, time-to-insight for ad-hoc business queries, and organization-wide adoption of central BI dashboards.
Before we begin
Share your app links, the challenge and the outcome you want. Your concierge will confirm inputs, deliverables, timing and costs for your scope before work begins.
Why should an app company invest in a centralized data warehouse instead of relying on out-of-the-box dashboards?
Out-of-the-box dashboards within third-party tools provide isolated, unmerged perspectives. A centralized data warehouse allows you to join product usage data with paid acquisition spend, customer support tickets, and actual bank revenues, unlocking comprehensive multi-touch attribution, custom predictive LTV modeling, and reliable financial reporting that no single vendor tool can deliver.