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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.

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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.

Collect data from StackAdapt and enrich it with information from other sources image

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.

Organize raw StackAdapt data in the form of a ready-to-use data set image

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.

Automate data refresh on a custom schedule image

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.

Connect StackAdapt data to AI to query and analyze data using natural language conversations image
Collect data from StackAdapt and enrich it with information from other sources image
Organize raw StackAdapt data in the form of a ready-to-use data set image
Automate data refresh on a custom schedule image
Connect StackAdapt data to AI to query and analyze data using natural language conversations image

Why connect StackAdapt to PostgreSQL - real life cases

Feed Metabase, Superset, or Lightdash dashboards from Postgres materialized views icon

Feed Metabase, Superset, or Lightdash dashboards from Postgres materialized views

Load StackAdapt campaign, campaign group, and geo reports into Postgres, then build materialized views your BI tool reads. Dashboards refresh when the view does, so Metabase, Superset, or Lightdash never hit the DSP API directly.
Back the internal client dashboard with StackAdapt beside Meta, Google, and LinkedIn icon

Back the internal client dashboard with StackAdapt beside Meta, Google, and LinkedIn

Pull StackAdapt alongside Meta, Google, and LinkedIn exports into one Postgres schema the client dashboard already queries. Programmatic data joins the paid media view users see without a separate panel or an extra data source.
Track campaign group pacing against insertion orders in your ops Postgres icon

Track campaign group pacing against insertion orders in your ops Postgres

Export campaign group spend to Postgres on your cadence, add the insertion order budget as a reference table, and compute pacing deltas with a scheduled view. The ops team gets alerts from the same database that runs the rest of their stack.
Join StackAdapt with first-party conversion data for client ROI icon

Join StackAdapt with first-party conversion data for client ROI

Write StackAdapt campaign performance to Postgres beside your conversion events table and compute client ROI with a single query. First-party conversions and DSP spend sit in one database, no cross-system join required.

How to connect StackAdapt to PostgreSQL

Step 1. Connect to your StackAdapt account and select the data to export
time icon 30 seconds
Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.
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Step 3. Connect your PostgreSQL database and specify where to load your data
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Step 4. Schedule data refresh to automate data flow from StackAdapt to PostgreSQL
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Automate your no-code StackAdapt PostgreSQL integration

Quick start with dashboard templates

No such template is available yet.
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Talk to AI about your StackAdapt data

Writing SQL is one way to talk to StackAdapt data in Postgres. Asking is another. AI Agent lives inside Coupler.io and queries your data sets in plain English.

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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Customer success stories

At Coupler.io, our mission is simple: to help our customers succeed by unlocking the full potential of their data. Check out how using Coupler.io has helped businesses like yours scale and achieve better ROI.

Ready to connect StackAdapt to PostgreSQL and automate your reporting?