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Connect ChatGPT Ads to PostgreSQL

Connect ChatGPT Ads to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a ChatGPT Ads API pipeline.

Used by the world's leading companies

Export ChatGPT Ads data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize ChatGPT Ads data in PostgreSQL

Bring all your ChatGPT Ads data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your PostgreSQL tables up to date

Automatically sync new data from ChatGPT Ads so every dashboard, model, and report works with fresh information.

Analysis

Unify ChatGPT Ads with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

ChatGPT Ads metrics and dimensions available in PostgreSQL

Access 7 metrics and 107 dimensions from ChatGPT Ads connectors including , and many more...

7

Metrics availables

107

Dimensions availables

Connect ChatGPT Ads to PostgreSQL in minutes

Move your data from ChatGPT Ads to PostgreSQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your ChatGPT Ads account

Authenticate your ChatGPT Ads account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
ChatGPT Ads 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

ChatGPT Ads.sql
BigQuery SQL
30-day window
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into PostgreSQL.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I connect ChatGPT Ads to PostgreSQL with Catchr?

Add ChatGPT Ads using an API key created in Ads Manager, save your PostgreSQL connection details, and pair both systems in a datastream. The connector reads the ad account associated with the key and writes your selected fields to PostgreSQL.

Which ChatGPT Ads fields can I load into PostgreSQL?

You can select from 7 metrics and 107 dimensions, including spend, impressions, clicks, conversions, CTR, CPC, CPM, account details, campaign budgets, and ad group fields. Catchr lets you rename the selected columns and preview them before writing to PostgreSQL.

Can I schedule recurring ChatGPT Ads loads to PostgreSQL?

Yes. A PostgreSQL job can start with an available historical ChatGPT Ads fetch and continue on a recurring schedule. The supported history and frequency depend on the source API and your Catchr plan.

How does Catchr update ChatGPT Ads records already stored in PostgreSQL?

Choose a valid date dimension when configuring the PostgreSQL job. For each scheduled window, Catchr deletes and rewrites that period to reduce duplicate rows across overlapping loads.

What reports can I build from ChatGPT Ads data in PostgreSQL?

PostgreSQL queries can summarize spend, impressions, clicks, conversions, CTR, CPC, and CPM by account, campaign, or ad group. Agencies and freelancers can expose these results through reusable views for dashboards and client reporting.

Does my PostgreSQL database need to exist before I connect it?

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Postgres database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

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