From ChatGPT Ads to MySQL: managed, scheduled, no code.
Creating a pipeline that sends data from ChatGPT Ads to MySQL databases takes only a few minutes with Kondado. And the whole integration from ChatGPT Ads to MySQL is managed and executed by our platform. With Kondado, you can focus on extracting value from ChatGPT Ads data and combining it with other data in your MySQL database
Kondado replicates your ChatGPT Ads data into MySQL on a configurable schedule without requiring engineering work. You select the pipelines you need from the available data source, configure your MySQL destination, and set the update frequency to match your reporting needs. No code is required to connect your OpenAI Ads account and start loading campaign metrics, audience registries, and performance breakdowns directly into your database.
Once your pipelines are active, your MySQL database stays current with hourly or daily campaign results, letting you query spend, conversions, and ROAS alongside other business data. Analysts and marketing teams can build custom reports, automate budget alerts, and join ChatGPT Ads performance with sales figures from other sources for a complete view of advertising impact.
Kondado replicates ChatGPT Ads data to MySQL automatically on a configurable schedule, offering 8 pipelines and 144 fields covering ads, campaigns, ad groups, performance metrics, custom audiences, and ad previews, with no coding required.
The Ad performance pipeline delivers impressions, clicks, spend, CTR, CPC, conversions, and ROAS broken down by hour, day, or month at campaign, ad group, or ad level, with daily and monthly rows that you can segment further by product, country, device, or platform inside MySQL. The Custom audiences pipeline brings in audience status and match ranges, enabling you to analyze how uploaded identifiers perform against your targeting. Meanwhile, the Campaigns pipeline supplies objectives, bidding strategies, spend limits, and targeting countries, making it easy to build budget pacing dashboards and cross-channel cost comparisons when you combine ChatGPT Ads data with information from other sources.
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Replicated to MySQL
ChatGPT Ads data available for MySQL
Tables Kondado writes into your MySQL, on a schedule you control.
8
available pipelines
144
extractable fields
MySQL
Destination
Available integrations
Ads
Registry of the account's ads, with the parent ad group and campaign, status and review outcome, creative format and copy (headline, body, price and destination URL with tracking parameters), and the reasons an ad is not serving.
Campaigns
Registry of campaigns, with objective, bidding strategy, billed event, start and end windows, daily and lifetime spend limits in the account currency, product catalog, and countries included in targeting.
Conversion event settings
Conversion events configured on the account, with type, the sources that feed them (pixels or integrations), associated campaigns, and the click-through and view-through attribution windows.
Ad account
Details of the connected ad account: name, main website, status and review, the time zone that defines how report days are cut, and the currency every monetary value in this connector is expressed in.
Ad groups
Registry of ad groups, with the parent campaign, status, context signals used for targeting, associated product feed, bidding strategy, billed event, and maximum bid in the account currency.
Ad performance
Performance report grouped by hour, day or month at account, campaign, ad group or ad level, with impressions, clicks, spend, CTR, CPC, CPM, conversions, CPA, ROAS and attributed sales, plus breakdowns by product, country, device or platform.
Ad preview
Renderable preview of each ad: an HTML snippet with the creative's iframe and the moment the preview was generated — the address inside the iframe expires 24 hours later.
Custom audiences
Registry of custom audiences, with status, hash specification version, and the ranges of uploaded, matched and invalid identifiers — for privacy the API returns text ranges, never the exact count.
Sync data automatically — no code, no manual exports.
1
Connect ChatGPT Ads Account
Log into Kondado and select ChatGPT Ads as your data source, then authenticate your OpenAI Ads account to grant pipeline access. Kondado will display the available pipelines so you can choose which datasets to load into your destination.
2
Configure MySQL Destination
Enter your MySQL host, port, database name, and credentials in Kondado's destination settings. The platform prepares the target structure so your selected ChatGPT Ads pipelines load correctly on the first run.
3
Select Pipelines and Schedule
Choose the specific pipelines you want, such as Ad performance and Campaigns, then set your update schedule to run every 5 minutes, hourly, or daily. Once saved, Kondado begins replicating ChatGPT Ads data to MySQL automatically according to your configuration.
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Answers about sending ChatGPT Ads data to MySQL automatically
What ChatGPT Ads datasets can I replicate to MySQL with Kondado?▼
You can load the Ads, Campaigns, Ad groups, Ad performance, Ad preview, Custom audiences, Conversion event settings, and Ad account pipelines into your MySQL database. Each pipeline delivers specific dimensions and metrics so you can query creative registries, budget settings, and hourly performance breakdowns using standard SQL.
How often does Kondado update ChatGPT Ads data in MySQL?▼
You choose how frequently Kondado loads fresh data, with intervals including every 5 minutes, 15 minutes, hourly, or daily. Once configured, your MySQL destination receives updates automatically on that schedule without requiring manual CSV downloads from the OpenAI Ads manager.
What can I build in MySQL after replicating ChatGPT Ads data?▼
With ChatGPT Ads data in MySQL, you can build custom dashboards that track ROAS by campaign, monitor cost per acquisition trends, and analyze conversion events across different attribution windows. You can also join this data with information sent to BigQuery or PostgreSQL for unified cross-platform reporting.
How is ChatGPT Ads data structured when it lands in MySQL?▼
Each pipeline creates its own structured dataset in MySQL with columns matching the available fields, such as headline, body text, destination URL, impressions, and attributed sales. The data arrives ready for SQL joins, so you can link Ad performance records to Campaigns and Ad groups registries using standard relational queries.
Can I combine ChatGPT Ads data in MySQL with other marketing sources?▼
Yes, you can replicate additional sources into the same MySQL database or send data to Google Sheets and Looker Studio for blended reporting. This lets you compare ChatGPT Ads performance against other channels and build consolidated reports that cover your entire media mix.
Do I need to know the ChatGPT Ads API to set up the pipeline to MySQL?▼
No coding or API knowledge is required to connect your ChatGPT Ads account and start replicating data. Kondado handles the data source authentication and schema mapping, so you simply select your pipelines, enter your MySQL credentials, and define the update schedule.
Can I preview my ChatGPT Ads creatives inside MySQL after replication?▼
Yes, the Ad preview pipeline stores a renderable HTML snippet containing the creative's iframe for each ad in your MySQL database. You can reference these previews in your internal tools or reporting layers to verify which creative versions were live during specific performance windows.
Does ChatGPT Ads timezone and currency data transfer to MySQL correctly?▼
The Ad account pipeline includes the time zone that defines how report days are cut, along with the currency used for every monetary value in your account. This ensures that spend, CPC, and CPA figures in MySQL align with the same periods and denominations you see inside the OpenAI Ads interface.
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