Agent context
Google Play Console models
5 SQL models that turn the raw Google Play Console tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.
How the set is built
- 6Raw tables
- 6Staging
- 5Core
- 5Analytics
Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.
- Earnings monthlyWhat Google Play charged, kept and refunded per app and product, by month: the Earnings report in Play Console, reduced to the lines finance needs.grain: one row per transaction month (Pacific Time) x package x product (SKU) x merchant currency · 1 raw table
- Installs dailyInstalls and uninstalls per app and country, the Statistics page of Play Console with the user and device metrics side by side.grain: one row per day x package x country · 1 raw table
- Stability by app versionCrashes and ANRs ("app not responding") per app version, against how many active devices run that version, so a bad release stands out against its install base.grain: one row per day x package x app version code · 2 raw tables
- Store listing conversionStore listing visitors, acquisitions and conversion rate by traffic source: the Store performance report in Play Console.grain: one row per day x package x traffic source · 1 raw table
- Subscriptions dailyNew, canceled and active subscriptions per subscription product and buyer country, by day: the subscription counts behind Play Console's Subscriptions overview, with base plans and offers added together.grain: one row per day x package x product x country · 1 raw table
- Weld or dbt
- The same SQL in both dialects. Sync the folder with GitHub Sync, or copy the dbt models into your project.
- Check before you rely on it
- Reconcile a month against Google Play Console's own reports first. Each model's notes say what the synced data can and can't support.
Connect Google Play Console.
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