OpenAI has introduced a number of updates to ChatGPT Ads that relate to bidding, budget, measurement, and campaign management. The updates suggest the company is maturing from an experimental advertiser tool to a serious competitor to Google Ads and Meta.
The updates touch on multiple areas that performance marketers care about, without featuring a single headline innovation. Taken together, they represent a meaningful step toward competitive advertising infrastructure.
Conversion Based Bidding Arrives: Cost Per Click Gets an Optimization Layer
The most important change, however, is the availability of oCPC bidding. This change lets advertisers launch campaigns with a conversions goal, and the system automatically favors clicks that are more likely to convert. The charging method is still CPC, which means the advertiser pays for each click, but the system now has an extra signal that helps it favor clicks with a higher chance of converting.
A pure click-based optimization has been a known limitation, as it is not immediately apparent how clicks translate into business outcomes. Advertisers had to treat clicks as a proxy for results rather than a direct measure of them. This update puts ChatGPT Ads into the same category as more mature advertising platforms that allow optimization at a conversion level.
Budget Flexibility Increases: Daily Budgets Are Now Rolling
Beginning next week, OpenAI will be changing the daily budget rules in ChatGPT Ads to reflect a seven-day average budget. The change is designed to give more flexibility to advertisers by allowing daily spend to vary within a weekly spend range.
In practice, this means that a campaign may be willing to spend more on one day versus another based on need. Pacing works in harmony with this by allowing the budget to be spent throughout the day rather than all at once. The update should affect advertisers that noticed their campaigns running out of budget around the same time every day (often in the morning).
Geographic Exclusions Let Advertisers Avoid Specific Locations
ChatGPT Ads now has a feature that allows excluding specific countries, states, and even cities from targeting. It is a great news for advertisers who want to make sure that their ads are only targeting the areas they need.
The update allows greater budget control by ensuring that irrelevant geographic regions (from a business perspective) are excluded. The same benefits apply to advertisers with regional restrictions, such as companies that only operate within the United States.
Measurement Gets Multiple Upgrades, Including Expanded Tools for Apps and Website Conversions
Measurement has always been a central pillar of the ChatGPT Ads, and this update introduced multiple changes related to it. In particular, integration with AppsFlyer and Adjust now allows tracking of app install and in-app events from ChatGPT Ads campaigns.
It is an essential improvement for app marketers, since they could not use the same measurement source for ChatGPT Ads and other parts of their advertising campaign. More importantly, both AppsFlyer and Adjust are often used for multi-channel first-party measurement, and this update allows advertisers to bring ChatGPT Ads into the same framework.
Second, website conversion measurement received an upgrade in the form of Automatic Advanced Matching. The feature uses hashed customer data to help recognize conversions with greater accuracy, and it is available as part of Tools -> Conversions -> Data Source. Automatic Advanced Matching addresses the same underlying pain point as the app measurement update, but for first-party website conversions instead of app activity.
Measurement improvements have direct implications for campaign performance, as a better understanding of conversion sources allows the algorithms to make better optimization choices within campaigns.
Bulk Updates in API Enable Easier Management of Large Campaign Numbers
A new feature in OpenAI’s Ads API allows users to make asynchronous bulk operations, including the creation and update of campaigns, ad groups, and ads. The feature is a must-have for advertisers who maintain a large-scale digital advertising presence, as it dramatically increases the efficiency of their top-down campaign management operations.
Google Ads, Meta, and other major advertising platforms have similar tools, such as Google Ads Editor, which allow advertisers to make changes to entire sets of campaigns at once. This update helps ChatGPT Ads become more productive at scale, and it highlights the platform’s commitment to enterprise-level operations.
Product Feed Campaigns Receive Updated Ad Display
Visual enhancements will now be applied to campaigns in the form of product feeds with a display of pricing and rating stars on the products’ cards. The two elements have a high likelihood of affecting CTRs.
Why This Update Matters
This update includes a number of changes and improvements in the ChatGPT Ads platform. On their own, each one solves an important problem for advertisers. Together, they are a clear move towards feature parity with Google Ads and Meta.
On the other hand, many of these features have been available elsewhere in the industry for some time. ChatGPT Ads is simply catching up to standards that competitors have offered for years.
It will be much easier for advertisers who have been reluctant to embrace ChatGPT Ads due to its previous immaturity to adopt the platform now that it has several long-awaited features, and those who have already adopted the platform will benefit from the enhanced measurement, simplified API access, and increased targeting flexibility.
FAQs
Q 1: What is oCPC bidding on ChatGPT Ads?
oCPC is the abbreviation for optimized cost per click. It was announced recently that conversions may become the objective. In other words, the focus will be on the clicks that are more likely to result in conversion. The billing type will stay CPC – cost per click, but the likelihood of conversion will become much higher.
Q 2: When will the average daily budget model be introduced?
The introduction of the average daily budget model will happen next week. It means that OpenAI will be calculating the daily budgets based on the rolling average that will offer more flexibility in a wider range of spending.
Q 3: How does automatic budget pacing work?
Budget pacing spreads your budget evenly across the day instead of letting it spend within a couple of hours. This update will help to achieve consistency of advertising delivery especially for big advertisers who used to spend their daily or weekly budgets within a few hours.
Q 4: Are there any options to exclude some of the locations from the ChatGPT Ads campaigns?
Yes. OpenAI recently introduced geographic exclusions, which work at the country, state, and city level.
Q 5: What is the purpose of AppsFlyer and Adjust integration?
The AppsFlyer and Adjust integrations allow conversion tracking for apps, which is essential for measuring in-app events and application installations from ChatGPT Ads. Appsflyers and Adjust are top marketing analytics companies that provide first-party, multi-channel marketing analytics solutions. Therefore, the update will benefit the majority of advertisers.
Q 6: What is Automatic Advanced Matching?
Automatic Advanced Matching is a website conversion measurement tool that uses hashed customer data to increase the accuracy of conversion measurement. This option can be found in Tools -> Conversions -> Data Source.
Q 7: What has changed with the Ads API?
The Ads API got quite a number of updates, including asynchronous bulk creation and update options. In other words, now large-scale operations (campaigns, ad groups, and ad creation/modification) do not have to be done separately anymore.
Q 8: What are the new product feed ad features?
Product feed campaigns got updated product cards that display pricing and star ratings. It should positively impact the CTR as the information about pricing and the rating of the products are critical for buyers.
Q 9: Why are these updates significant for the performance marketers?
Taken together, these updates make it possible to take ChatGPT Ads more seriously for performance marketers. Separately, they solve quite a lot of concerns such as optimizing based on conversions, better measurement of the first-party conversions, and operational updates that make the platform more efficient for large-scale advertisers.
Q 10: Is ChatGPT Ads becoming more like Google Ads or Meta?
Yes. These updates include the features of Google Ads and Meta platforms.
