AppLovin to PostgreSQL integration
Connect AppLovin to PostgreSQL and automatically sync your advertising platform data. Weld extracts data from AppLovin, loads it into PostgreSQL, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceAppLovinConnected- advertiser_hourly_report84 cols
- advertiser_report83 cols
- advertiser_campaign_hourly_report79 cols
- advertiser_campaign_report78 cols
- probabilistic_report36 cols
- publisher_report21 cols
- Extract
- Load
- Keep in sync
DestinationPostgreSQLReady- applovin.advertiser_hourly_reportSynced
- applovin.advertiser_reportSyncing
- applovin.advertiser_campaign_hourly_reportSynced
- applovin.advertiser_campaign_reportSynced
- applovin.probabilistic_reportSynced
- applovin.publisher_reportSynced
- AppLovin tables
- 7
- fields, typed
- 398
- agent context included
- MCP
Trusted by data and AI teams
How to set up AppLovin to PostgreSQL in Weld.
In the app, with the API or an agent.
New connectionAppLovinAuthorisedWhy sync AppLovin to PostgreSQL?
Ready for analysis.
Centralizing your AppLovin data in PostgreSQL lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying AppLovin data directly in PostgreSQL using SQL or your preferred BI tool.
Cross-channel ad performance
Consolidate AppLovin campaign data in PostgreSQL alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.
Centralized data warehouse
Bring AppLovin data into PostgreSQL alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from AppLovin to PostgreSQL. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every AppLovin table, keys intact.
Weld syncs the objects the AppLovin connector exposes into PostgreSQL, and you choose which tables and fields to include. The connector's docs list what is available.
- advertiser_hourly_report
- advertiser_report
- advertiser_campaign_hourly_report
- advertiser_campaign_report
- probabilistic_report
- publisher_report
- max_report
Ask your agent.
It queries PostgreSQL for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the AppLovin context, finds the tables it needs and runs the query in PostgreSQL.
How many advertiser_hourly_report rows do we have in PostgreSQL?
Reading the AppLovin context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the AppLovin API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If AppLovin adds new fields, they're detected and added to the corresponding PostgreSQL tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About AppLovin to PostgreSQL.
Start syncing AppLovin to PostgreSQL.
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SourceWarehouse
