Connect ChatGPT Ads to PostgreSQL
Sync ChatGPT Ads performance into PostgreSQL with Coupler.io and keep spend, clicks, and conversions in a database you already run. Query it with SQL, join it with product data, and refresh tables on a schedule without maintaining API scripts.
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What data you can export from ChatGPT Ads?
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Ad account performanceAccount-level totals for impressions, clicks, spend, CTR, CPC and CPM. One row per period β use it as the baseline when reconciling against ChatGPT Ads Manager.
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Campaign performancePerformance of each campaign for the selected period, including campaign status, schedule, budget limits and the core delivery metrics.
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Ad group performancePerformance of each ad group for the selected period, with its parent campaign for context.
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Ad performancePerformance of each ad, including ad title, body copy, destination link and review status alongside delivery metrics.
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Campaign performance by countryPerformance of each campaign split by the country of the person who saw the ad. One row per campaign, country and period.
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Campaign conversionsTotal conversions attributed to each campaign for the selected period, split into click-through and view-through. Requires conversion tracking set up in your ad account.
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Campaign performance by conversion eventEvents attributed to each campaign, one row per event name and period, with click-through, view-through and event value. Lists every attributed event, not only those set up as conversion events, so its totals will not match Campaign conversions. To get an event's share of conversions, divide its count by the sum of counts where Counted as conversion is true, per date and campaign.
All-in-one tool for ChatGPT Ads data exports and analytics
Combine ChatGPT Ads campaign and ad group results with Google Ads, Microsoft Ads, and Pipedrive data in one Coupler.io data flow. PostgreSQL then holds paid media and sales records side by side, ready for SQL joins.
Rename ChatGPT Ads columns to match your naming conventions, drop fields your queries never touch, and aggregate results by campaign and date. Coupler.io hands PostgreSQL tidy tables, so views and indexes stay simple to build.
Load fresh ChatGPT Ads rows into PostgreSQL on a monthly, daily, hourly, 30-minute, or 15-minute schedule. Pair the schedule with Append mode to build a running history, or Replace mode to keep a single snapshot.
Ask how CTR moved by country or which ads drove the most clicks, in everyday words instead of SQL. Coupler.io shares the same ChatGPT Ads dataset with AI tools, so teammates outside engineering get answers too.
Why connect ChatGPT Ads to PostgreSQL - real-life cases
Ad data inside internal tools
Load ChatGPT Ads campaign performance into the PostgreSQL database behind your admin panel or internal dashboard. Product and ops teams then see ad spend and clicks next to app metrics without a separate reporting tool.
Campaign results next to product data
Compare ChatGPT Ads clicks and conversions with signups or orders already stored in PostgreSQL. Tag destination links with UTM parameters, then join app records with campaign results to see which campaigns bring paying users.
Open-source dashboards on ad data
Point Metabase, Grafana, or Superset at ChatGPT Ads tables in PostgreSQL. Build open-source dashboards for spend, CPC, and CPM by country without licensing a separate BI platform for one more channel.
Creative and landing page audits
Store ad titles, body copy, destination links, and review status in PostgreSQL. Query which landing pages receive the most clicks and which ads are still in review, then hand the list to your creative team.
How to connect ChatGPT Ads to PostgreSQL
Step 1. Connect to your ChatGPT Ads 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 PostgreSQL database and specify where to load your data
30 seconds
Step 4. Schedule data refresh to automate data flow from ChatGPT Ads to PostgreSQL
10 seconds
Automate data exports with the no-code ChatGPT Ads PostgreSQL integration
Connect similar PPC apps and get data in minutes
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Talk to AI about your ChatGPT Ads data
PostgreSQL handles joins and app-side reporting well, yet a quick question about ChatGPT Ads should not require writing a query. Coupler.io also delivers the same dataset to Claude, Gemini, Cursor, or Copilot, so marketers and developers can ask in plain language from the tool they prefer.
Want answers without any external setup? AI Agent works inside Coupler.io. Ask about your ChatGPT Ads data, and the Analytical Engine queries the full dataset, runs the calculations, and validates the result before the AI explains it in plain language.
Examples of questions you can ask about ChatGPT Ads data:
Want answers without any external setup? AI Agent works inside Coupler.io. Ask about your ChatGPT Ads data, and the Analytical Engine queries the full dataset, runs the calculations, and validates the result before the AI explains it in plain language.
Examples of questions you can ask about ChatGPT Ads data:
- "Which countries had the highest CPM last week, and did their CTR justify the cost?"
- "How many clicks did each destination link receive across all ads this month?"
- "Which ad groups lost the most impressions compared with the previous week?"
- "What is the average CPC for each campaign since launch, and which ones are trending up?"
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Connect data from ChatGPT Ads to alternative destinations
Frequently asked questions
Connect your ChatGPT Ads account in Coupler.io and pick the data to export. Then enter your PostgreSQL host, port, database, user, and password, and set the target schema and table. Coupler.io creates them on the first run if they don't exist.
Your PostgreSQL user needs CREATE privileges on the database and schema, plus INSERT on the target table. If the database restricts inbound connections, allowlist the Coupler.io IP addresses listed in the setup instructions.
Yes. Choose Append mode to add new rows on each run and build a history, or Replace mode to overwrite the table with fresh data every time. In Append mode, if the source adds new columns, update the table schema before the next run.
Depending on your plan, choose monthly, daily, hourly, every 30 minutes, or every 15 minutes. Coupler.io runs each load on that schedule.
Yes. Coupler.io connects to over 400 sources, so you can join ChatGPT Ads data with other ad platforms, CRMs, or payment tools in one data flow and load the result into a single PostgreSQL table.
