Export ChatGPT Ads to BigQuery

Setup guide

How to Connect ChatGPT Ads to BigQuery

Connect your ChatGPT Ads account, set up BigQuery, and run your first report.

Connect ChatGPT Ads to Adzviser

Create an Adzviser workspace, select ChatGPT Ads, and enter the API key for your advertising account.

Set up BigQuery

Create a BigQuery pipeline in Adzviser. Connect your Google Cloud project with a service account and select a dataset prefix. BigQuery setup guide →

Run your first report

Select Impressions, Clicks, Spend and a date range. Export the data to BigQuery for your reporting workflow.

Why this connection

Why Export ChatGPT Ads to BigQuery?

Keep ChatGPT Ads reporting data in your own BigQuery project for custom analysis and downstream reporting.

What you can do

Choose which data to export

Export ad impressions, clicks, spend, and supported conversions, with the account and reporting detail your downstream tools need.

Query data in your own project

Use SQL to analyze the exported tables alongside the data already in your Google Cloud project.

Build cross-channel reports

Combine ChatGPT Ads exports with your other advertising or sales data in your reporting system.

AUTOMATED EXPORTS

Export ChatGPT Ads data to BigQuery tables

Export reporting data into BigQuery tables for SQL analysis and dashboards. Join it with your sales or CRM data in your own Google Cloud project.

Choose the columns to export

Export Impressions, Clicks, Spend by Ad account ID, Ad account currency code, Campaign ID, Campaign name. Use daily granularity for time-series analysis.

Query data from multiple sources

Join reporting tables to your product or campaign lookups using stable IDs, then query the combined data in SQL.

Keep the table current

Run a backfill and set a schedule. Matching reporting dates are replaced on subsequent exports, so use separate dataset prefixes for independent reports.

Compare campaign impressions, clicks, spend, and cost per click over time. Add measured conversions to evaluate cost per result when conversion tracking is configured.

Reporting coverage

ChatGPT Ads reporting coverage for BigQuery

7supported metrics

38supported breakdowns

Complete field catalogBrowse all metrics & breakdowns for ChatGPT Ads

Trusted by Agencies, Freelancers, and Founders

See how data teams are using Adzviser to analyze their ChatGPT Ads data in BigQuery.

Ryan Whiteside

Adzviser is the Supermetrics replacement we've been looking for. Adzviser delivers the same essential functionality at a much better price point, with far superior customer support. The added bonus of a ChatGPT connector allows for seamless data analysis in a way that enhances workflow efficiency.

Digital Marketing DirectorTwo Wheels Marketing

Jared Laidlaw

I appreciate Adzviser's per-client workspace setup, which simplifies organizing data sources compared to setting them up via channels. The customer support is excellent and responsive, addressing my issues swiftly. The pricing is competitive and scales nicely with business growth, which is crucial for me.

Managing DirectorOrchard Financial Marketing

Adam Orris

It is so simple to create your integration with all the supplied connectors. I also love the ability to send data to Gsheets and Looker for automation. The best part is being able to chat with your data inside of ChatGPT's. Adzviser really helps you along the way as well. The customer support is superb.

Director of Data and AnalyticsDisruptive Advertising

Saar Bell

Adzviser completely transformed the way I handle marketing data! Connecting all my sources to Google Sheets, Looker, and ChatGPT was unbelievably simple — no endless setup or technical headaches. Everything runs fast, accurate, and at a fraction of the cost compared to other tools I’ve tried. The customer support is extremely personal and responsive.

Company OwnerBellaPOINT

Powering data-driven decisions for 15K+ companies across 100 countries

ChatGPT Ads to BigQuery Integration FAQs

Impressions, clicks, spend, CTR, CPC, CPM, and supported conversions. Country, device, and product reports offer additional breakdowns; product reports do not include conversions. View supported ChatGPT Ads fields →

Create an Adzviser workspace, select ChatGPT Ads, and enter the API key for your advertising account. Create a BigQuery pipeline in Adzviser. Connect your Google Cloud project with a service account and select a dataset prefix. BigQuery setup guide →

Yes. Choose Schedule in your Adzviser pipeline, set the frequency and date range for each run, and save the schedule. Adzviser then delivers the selected data to your BigQuery tables automatically.

Yes. Choose Run Once and select the date range you need. You can export data from before you connected Adzviser, as far back as your source account makes it available.

Yes. Export your other connected sources through separate Adzviser pipelines, then use SQL to combine the tables with sales, CRM, or other data in your project. Use the results in your BI dashboards.

Supercharge your data-driven decisions
with Adzviser

Start 14-day trial

Have a question?

Talk to us