Connect StackAdapt to BigQuery

Connect StackAdapt to BigQuery with Coupler.io for a warehouse table where your programmatic data lands beside Meta, Google, and LinkedIn. Enable analysts to join advertiser, campaign group, ad, and GEO reports across every paid channel on a 15-minute refresh schedule.

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All-in-one tool for StackAdapt data exports and analytics

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

Centralize StackAdapt advertiser, campaign group, campaign, ad, and country reports in BigQuery alongside Meta, Google, LinkedIn, and TikTok exports. One warehouse table holds the whole paid media plan, from DSP to social.

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

Reshape StackAdapt rows at ad level or campaign group level before they land in BigQuery. Rename columns to match your paid media schema, so queries, dashboards, and dbt models work the same way across every ad source.

Automate data refresh on a custom schedule

Run the StackAdapt refresh on monthly, daily, hourly, 30-minute, or 15-minute intervals. Coupler.io writes to BigQuery on your cadence so downstream scheduled queries, dbt builds, and dashboards all read the same up-to-date numbers.

Connect StackAdapt data to AI to query and analyze data using natural language conversations

Point an AI tool like Claude, ChatGPT, or Copilot at your BigQuery warehouse through Coupler AI and ask it about blended eCPA, campaign group pacing, or creative wins. The Analytical Engine computes the SQL and returns validated numbers.

Why connect StackAdapt to BigQuery - real life cases

Append StackAdapt to your paid media table alongside Meta, Google, LinkedIn, and TikTok

Load StackAdapt advertiser, campaign group, campaign, ad, and geo reports into the same BigQuery table that holds Meta, Google, LinkedIn, and TikTok. Column names match from the first write, so one query reaches every paid channel.

Compute blended cost per conversion in SQL across every paid channel

Join StackAdapt campaign performance with the rest of your paid media exports in BigQuery and compute eCPA across the full plan. The number updates on the refresh schedule and feeds every dashboard, deck, and client reply downstream.

Model insertion order pacing at campaign group level for every client

Export StackAdapt campaign group spend into BigQuery, add the insertion order budget as a reference table, and model pacing deltas with a scheduled query. Account teams see which groups ran over or under last week across every advertiser.

Keep historical StackAdapt data for year-over-year analysis

Pull every StackAdapt report into BigQuery on a schedule and retain the rows past the DSP's lookback window. Year-over-year CPM, eCPA, and conversion trends stay queryable even after StackAdapt rolls old data out of the UI.

How to connect StackAdapt to BigQuery

Step 1. Connect to your StackAdapt account and select the data to export

30 seconds

Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.

30 seconds

Step 3. Connect your BigQuery project and specify where to load your data

30 seconds

Step 4. Schedule data refresh to automate data flow from StackAdapt to BigQuery

10 seconds

Automate your no-code StackAdapt BigQuery integration

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Talk to AI about your StackAdapt data

The warehouse serves analysts; natural language serves everyone else. Point AI Agent inside Coupler.io at the same StackAdapt data sets your BigQuery queries read, or route the data to Claude, ChatGPT, Copilot, Cursor, or Gemini CLI through an AI Integration. Either path goes through the Analytical Engine, so the eCPA Claude mentions and the eCPA your SQL returns match.

Here are some prompts to try on your StackAdapt data in BigQuery:

"Which clients saw blended eCPA climb this month across programmatic, social, and search?"
"Rank campaign groups by variance against the insertion order for the last four weeks."
"What's the year-over-year change in CTV spend by DMA for client X?"
"Which ad creatives carried the lowest eCPA across the Q3 flight?"
"Compare conversion share by paid channel across our top five advertisers."

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.

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