ChatGPT Ads Gets Conversion Bidding, Geo Exclusions and Bulk Tools

ChatGPT Ads has released a batch of updates that close the gap between OpenAI's ad platform and established players like Google Ads and Meta Ads. The release adds oCPC conversion bidding, average daily budgets over a rolling seven-day window, geographic exclusions, mobile measurement integrations with AppsFlyer and Adjust, automatic advanced matching for website conversions, bulk API support, and refreshed product feed cards showing pricing and star ratings. None of these are new ideas in digital advertising, but their absence has been a real barrier to running ChatGPT Ads at scale.

What happened

Feature	Detail
Conversion bidding (oCPC)	New “Conversions” campaign objective; charges on CPC, optimizes toward likely converters
Average daily budgets	Rolling seven-day window; rolling out next week
Automatic budget pacing	Daily spend distributed more evenly throughout each day
Geographic exclusions	Specific locations can be excluded from targeting
Mobile measurement	AppsFlyer and Adjust integrations for app install and in-app event tracking
Automatic Advanced Matching	Hashed customer data improves conversion attribution; enabled via Tools > Conversions > Data Source
Bulk API	Asynchronous bulk creation and updates for campaigns, ad groups, and ads
Product feed ads	Updated product cards now show pricing and star ratings

ChatGPT Ads has pushed out eight feature updates in a single release, covering bidding, measurement, budget management, and campaign tooling. The platform has been running ads for some time, but it has been missing basics that performance marketers take for granted on Google and Meta.

Why does this matter for performance marketers?

The biggest single addition is conversion-optimized bidding. Before this, advertisers on ChatGPT Ads could pay per click but had no way to tell the system to prioritize clicks that were actually likely to convert. The new oCPC model does that automatically, which means budgets should work harder without requiring manual bid adjustments.

The AppsFlyer and Adjust integrations are equally significant for anyone running app campaigns. Both are industry-standard mobile measurement partners (MMPs), and without them, attributing installs or in-app purchases to ChatGPT Ads was genuinely difficult. That friction is now removed.

Geographic exclusions sound minor, but they matter for any advertiser who needs to block specific markets for legal, logistical, or competitive reasons. Running without them meant either accepting unwanted traffic or not running at all.

The bulk API support deserves attention from agencies and larger advertisers. Asynchronous bulk operations for campaigns, ad groups, and ads mean you can manage ChatGPT Ads programmatically, the same way you already manage Google and Meta campaigns. That is a prerequisite for any serious multi-channel operation.

Automatic Advanced Matching: what it is

Advanced Matching sends hashed (encrypted) customer data, such as email addresses, from your website back to ChatGPT Ads to improve conversion attribution. Hashing means the raw data is never transmitted in plain text. You enable it under Tools, then Conversions, then Data Source. If you already run Meta’s Advanced Matching or Google’s enhanced conversions, the concept is identical.

Our take

This release is not a leap forward, it is a catch-up. Every feature here exists in mature form on Google Ads and Meta Ads. OpenAI is not introducing new advertising ideas; it is building the floor that advertisers require before they will commit real budget. That is actually the right move. Platforms that try to be novel before they are reliable tend to lose advertiser trust quickly.

The more interesting question is whether ChatGPT’s audience, people actively using a conversational AI tool, converts differently than search or social audiences. That data will start to emerge as more advertisers run oCPC campaigns and compare results. If conversion rates are strong relative to CPCs, budget will flow in fast. If not, the platform will remain a test-and-learn channel for most.

For businesses already running performance advertising on Google or Meta, the practical step right now is to check whether your vertical is a good fit for ChatGPT’s user intent, then run a small oCPC test with conversion tracking properly set up from day one. Don’t replicate your Google campaigns wholesale; write ads that fit a conversational context. And if you are running app campaigns, get AppsFlyer or Adjust connected before you spend anything significant.

We have been watching ChatGPT Ads develop alongside broader shifts in search ad revenue, and the platform is now credible enough to put on a test roadmap for Q3 or Q4 2025.

What to do about it

1. Enable Automatic Advanced Matching under Tools, then Conversions, then Data Source before running any conversion-focused campaigns.
2. Create a new campaign using the Conversions objective to activate oCPC bidding.
3. Connect AppsFlyer or Adjust if you are measuring app installs or in-app events.
4. Set geographic exclusions to match your existing Google or Meta campaign restrictions.
5. If you manage ChatGPT Ads at scale or through an agency, review the updated Ads API documentation for bulk operation support.

Set up measurement correctly first, then spend money.

Source: Search Engine Land