06:00 UTC
ChatGPT Ads
Selected accounts
Configured job
MySQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
ChatGPT Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your MySQL table.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about MySQL setup, available source data, schedules, table updates, and SQL use cases.
Add ChatGPT Ads with a bearer API key created in Ads Manager, save your MySQL connection details, and pair them in a datastream. Then select the fields you need, preview the columns, and load them into a MySQL table.
You can select from 7 metrics and 107 dimensions, including spend, impressions, clicks, conversions, CPC, CPM, CTR, account details, campaign budgets, and ad account currency. Rename the selected columns as needed for your MySQL schema.
A MySQL job can start with a historical ChatGPT Ads fetch and continue on a recurring schedule. The available history and scheduling options depend on the ChatGPT Ads API and your Catchr plan.
Spend, clicks, impressions, and conversions are exported as totals, while CPC, CPM, and CTR are recalculated after aggregation. This keeps ratio metrics meaningful when you summarize ChatGPT Ads data in MySQL.
You can query spend, impressions, clicks, conversions, CPC, CPM, and CTR alongside account, campaign, ad group, and ad dimensions. This supports reusable campaign performance views for agency reporting, client dashboards, and cross-channel analysis.
Yes. Connect an existing MySQL database first. The Catchr job creates and populates the destination table you configure inside that 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.
Our teams is always here to responds to any question you could have about our data connector.
Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.
.svg)
.svg){kind=logo}
.png){kind=logo}
