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ChatGPT Ads Adds Conversion Bidding, Geo Exclusions and a Bulk API

ChatGPT Ads Adds Conversion Bidding, Geo Exclusions and a Bulk API

ChatGPT Ads is rolling out a slate of new advertiser tools focused on smarter bidding, improved measurement, budget pacing and campaign management as it continues building out its advertising platform.

The updates bring ChatGPT Ads closer to the feature set advertisers expect from more mature ad platforms, particularly around conversion optimization and automation.

Eight additions

1. Conversion-optimized campaigns

Advertisers can now create optimized cost-per-click (oCPC) campaigns by selecting the Conversions objective. Campaigns automatically optimize toward clicks that are more likely to generate conversions while continuing to charge on a CPC basis.

2. Average daily budgets

Beginning next week, daily budgets shift to an average daily budget model over a rolling seven-day period, allowing spend to fluctuate day to day while remaining within overall budget limits.

3. Automatic budget pacing

Daily budgets are now paced throughout the day to help distribute spend more evenly.

4. Geographic exclusions

Advertisers can now exclude specific locations from campaign targeting.

5. Mobile measurement integrations

New integrations with AppsFlyer and Adjust enable advertisers to measure app installs and in-app events from ChatGPT Ads campaigns.

6. Automatic Advanced Matching

Website conversion measurement has been enhanced through hashed customer data that improves conversion attribution. Enable it under Tools > Conversions > Data Source.

7. Bulk API updates

The Ads API now supports asynchronous bulk creation and updates for campaigns, ad groups and ads.

8. Refreshed product feed ads

Product feed campaigns are beginning to receive updated product cards featuring pricing and star ratings.

Why we care

The update addresses several capabilities performance marketers have been waiting for.

  • Conversion-optimized bidding gives advertisers a stronger way to optimise toward business outcomes instead of clicks alone
  • AppsFlyer and Adjust integrations make app measurement far more practical
  • Combined with geo exclusions, improved attribution and bulk API support, the platform is becoming increasingly viable for advertisers managing campaigns at scale

How it is maturing

Rather than introducing a single flagship feature, this release focuses on maturing the platform's core advertising infrastructure.

Many of the additions — such as average daily budgets, advanced matching, and bulk campaign management — mirror capabilities that advertisers already rely on in established platforms like Google Ads and Meta Ads, lowering the barrier to adopting ChatGPT Ads.

Bottom line

ChatGPT Ads is steadily evolving from an emerging advertising platform into one designed for performance marketers, with new tools that improve optimisation, measurement, automation and campaign scalability.

Practical takeaways

Read this as a catch-up release. These are ports of features Google and Meta already have, not inventions — so the evaluation question is "can we move our operating model here," not "is this novel."

Be precise about how oCPC charges. It optimises toward conversions but bills on CPC. With no per-conversion pricing, a low conversion rate still costs you the clicks.

Calendar the average-daily-budget switch. Moving to a rolling seven-day average means some days exceed the daily figure. Teams monitoring day by day need to change their alert thresholds.

Check data policy before enabling Automatic Advanced Matching. It relies on hashed customer data, so verify your legal basis and consent scope first.

App marketers should raise the priority. AppsFlyer and Adjust integrations mean the minimum conditions now exist to test ChatGPT Ads as an install channel.

Watch the next step in ad format. OpenAI's more fundamental change is covered in OpenAI Is Building Chatbot-Native Ads That Open an AI Agent. This tooling build-out looks like the stage before that.

Clean up the product feed first. Cards carrying pricing and star ratings mean feed data quality is ad quality — read alongside AI Shopping Starts With Your Product Feed.

Track the external data ChatGPT pulls in too — see ChatGPT Gains Yelp Reviews.

Frequently Asked Questions

What did ChatGPT Ads add?

Conversion-optimized (oCPC) campaigns, average daily budgets over a rolling seven-day period, automatic budget pacing, geographic exclusions, AppsFlyer and Adjust mobile measurement integrations, Automatic Advanced Matching, bulk API support, and refreshed product feed cards with pricing and star ratings.

How do conversion-optimized campaigns charge?

They optimize toward clicks more likely to convert while continuing to charge on a CPC basis — there is no per-conversion pricing.

What is Automatic Advanced Matching?

Enhanced website conversion measurement using hashed customer data to improve attribution, enabled under Tools > Conversions > Data Source.

What kind of release is this?

Infrastructure maturation rather than a flagship feature. Average daily budgets, advanced matching and bulk campaign management mirror what advertisers already use in Google Ads and Meta Ads, lowering the barrier to adoption.

Where does your own site stand?

To apply what you just read to your own site, start with a free audit of where things are now.

A strategist replies within 24 hours on business days.

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