Connect StackAdapt to PostgreSQL
Load StackAdapt into PostgreSQL with Coupler.io so your programmatic data sits in an open-source database beside Meta, Google, and LinkedIn. Help your team feed BI tools, back internal dashboards, and query campaign performance in SQL on a 15-minute refresh schedule.
All-in-one tool for StackAdapt data exports and analytics
Bring StackAdapt advertiser, campaign group, campaign, ad, and country reports into Postgres alongside Meta, Google, LinkedIn, and TikTok. One schema holds the whole paid media plan next to the first-party tables your app already writes.

Reshape StackAdapt rows at ad level or campaign group level, apply filters, and set column names before load. Downstream Postgres views, materialized tables, and BI queries read a stable schema across every ad source.

Refresh StackAdapt data in Postgres on monthly, daily, hourly, 30-minute, or 15-minute intervals. Coupler.io writes to your database on the cadence that fits your reporting rhythm, and materialized views refresh on top.

Point Claude, ChatGPT, Copilot, Gemini CLI, Perplexity, or Cursor at your Postgres database through Coupler AI. The Analytical Engine runs the SQL against your tables and returns validated eCPA, pacing, and creative numbers, not estimates.





Why connect StackAdapt to PostgreSQL - real life cases
Feed Metabase, Superset, or Lightdash dashboards from Postgres materialized views
Back the internal client dashboard with StackAdapt beside Meta, Google, and LinkedIn
Track campaign group pacing against insertion orders in your ops Postgres
Join StackAdapt with first-party conversion data for client ROI
How to connect StackAdapt to PostgreSQL
Automate your no-code StackAdapt PostgreSQL integration
Connect similar PPC apps and get data in minutes
Quick start with dashboard templates
about your case. It doesn't cost you a penny π
Talk to AI about your StackAdapt data
AI Integrations do the same thing from Claude, ChatGPT, Copilot, Cursor, Perplexity, or Gemini CLI, whichever tool the team opened first that morning. The Analytical Engine handles the computation underneath, so what the AI reads back matches what your Postgres rows actually say.
Try prompts like these on your StackAdapt data in Postgres:
- "Which campaign groups ran over the insertion order budget this month?"
- "Show the Metabase CPM chart broken out by DMA for the last CTV flight."
- "Join last week's StackAdapt spend to our conversion events table and give me ROI by client."
- "Which ad creatives drove the most first-party signups in Q3?"
- "Compare programmatic eCPA to Meta and Google for every advertiser this quarter."

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