No-code pipeline · ChatGPT Ads → Amazon S3

Send data from ChatGPT Ads to Amazon S3

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From ChatGPT Ads to Amazon S3: managed, scheduled, no code.
Creating a pipeline that sends data from ChatGPT Ads to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from ChatGPT Ads to Amazon S3 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 Amazon S3 data lake

Replicate ChatGPT Ads Data to Amazon S3

Connect your ChatGPT Ads account to Kondado and select the exact pipelines your team needs, from ad performance to campaign registries. Kondado handles extraction and loads structured files into Amazon S3 on a configurable schedule, whether you choose updates every 5 minutes or daily. There is no code required to configure the connection, and your data lands in S3 ready for analysis with Athena, Presto, or Dremio. Once in S3, you can unify ChatGPT Ads metrics with other marketing data to build custom reports that track spend, conversions, and ROAS across channels. Teams gain a centralized, queryable repository that powers everything from executive dashboards to machine learning workflows.

Kondado is a data platform that replicates ChatGPT Ads data to Amazon S3 on a configurable schedule, offering 8 pipelines and 144 fields covering ads, campaigns, ad groups, performance metrics, custom audiences, conversion events, and ad previews without requiring code.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Ad performance pipeline in Amazon S3, analysts can query hourly or daily impressions, spend, CTR, conversions, and ROAS alongside other advertising sources to measure ChatGPT campaign efficiency at scale. The Campaigns and Ad groups pipelines deliver targeting parameters, bidding strategies, and budget limits that help finance teams monitor pacing and forecast spend across accounts. Because S3 separates storage from compute, you can feed this structured data directly into Athena, Presto, or Dremio to build custom reports that compare audience breakdowns by country, device, or platform without ever moving files between systems.

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Replicated to Amazon S3

ChatGPT Ads data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

8
available pipelines
144
extractable fields
Amazon S3
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.

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How to send ChatGPT Ads data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Your ChatGPT Ads Account

Log in to Kondado, select the ChatGPT Ads data source, and authenticate with your OpenAI Ads credentials to grant access to your account.

2
Configure Your Amazon S3 Destination

Enter your S3 bucket name, region, and access credentials in Kondado so the platform knows where to deliver your replicated files.

3
Select Pipelines and Set Schedule

Pick the pipelines you want, such as Ad performance or Campaigns, and define your update frequency from every 5 minutes to daily. Kondado will begin replicating your selected ChatGPT Ads data to Amazon S3 automatically.

Try out all the features for free for 14 days

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Send data from ChatGPT Ads to other destinations

Choose a tool to visualize your ChatGPT Ads data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Frequently Asked Questions (FAQ)

Answers about sending ChatGPT Ads data to Amazon S3 automatically

How does Kondado send ChatGPT Ads data to Amazon S3? ▼
Kondado connects directly to the ChatGPT Ads API and extracts the pipelines you select. It then loads that data into your Amazon S3 bucket as structured files on the schedule you configure, from every 5 minutes to daily.
What ChatGPT Ads pipelines can I replicate to Amazon S3? ▼
You can choose from 8 pipelines available in the ChatGPT Ads data source, including Ads, Campaigns, Ad groups, Ad performance, Ad preview, Custom audiences, Conversion event settings, and Ad account details. Together they expose 144 fields covering creative assets, targeting, spend, and registry metadata.
How often does ChatGPT Ads data update in Amazon S3? ▼
Updates run on a configurable schedule that you set, with options ranging from every 5 minutes to hourly or daily. Each run extracts the latest available data from your ChatGPT Ads account and lands it in S3 as fresh files.
What file format does ChatGPT Ads data use in Amazon S3? ▼
Kondado loads data into S3 in a structured format that is ready for query engines like Athena, Presto, and Dremio. This lets you start analyzing impressions, clicks, and spend immediately without additional transformation layers.
Can I combine ChatGPT Ads data in S3 with other marketing sources? ▼
Yes, Amazon S3 acts as a central data lake where you can land data from multiple sources. You can join ChatGPT Ads metrics with information from BigQuery, PostgreSQL, or other channels to build unified reports in Power BI or Looker Studio.
What can I build with ChatGPT Ads data stored in Amazon S3? ▼
You can create custom dashboards that track campaign ROAS, compare hourly performance trends, and analyze audience splits by device or country. Many teams also use the data to feed downstream reporting tools or to power budget pacing alerts across their entire media mix.
Can I send ChatGPT Ads data from S3 to other destinations? ▼
Yes, once your data is in Amazon S3, you can use Kondado to move it to BigQuery, PostgreSQL, or Google Sheets. This flexibility lets you serve the same ChatGPT Ads dataset to analysts, executives, or automated systems in the format they prefer.

Try out all the features for free for 14 days

Try out all the features for free for 14 days