LiveRamp is expanding its ChatGPT Ads integration from measurement into audience activation, letting marketers use RampID-linked first-party data to build Custom Audiences across 11 markets.
The update means CRM, loyalty, behavioral, web and app data can now feed audience targeting and suppression in ChatGPT Ads through the same identity infrastructure marketers may already use elsewhere. LiveRamp says the integration will expand as ChatGPT Ads reaches more markets.
Key Takeaways
- LiveRamp can now activate RampID-linked first-party audiences in ChatGPT Ads.
- The integration is available in 11 major markets, with broader expansion planned.
- OpenAI still applies its own audience rules, including a 25,000 matched-user minimum for inclusion targeting.
Table of contents
Jump to each section:
- LiveRamp moves from measuring ChatGPT Ads to shaping who can see them
- First-party audience portability is the bigger operational change
- Audience eligibility is not the same as access to conversations
- The next test is whether familiar audience plumbing improves outcomes
LiveRamp moves from measuring ChatGPT Ads to shaping who can see them
LiveRamp’s earlier ChatGPT Ads work focused on conversion measurement. Its CAPI Hub gave advertisers a server-side route for sending conversion signals back to the platform, helping teams measure what happened after an ad interaction.
The September 28 update adds a different layer. LiveRamp says marketers can now use RampID to activate first-party data as Custom Audiences in ChatGPT Ads. Supported source data includes CRM records, loyalty data, behavioral data, web data and app data.
That changes LiveRamp’s role from post-campaign measurement infrastructure into part of pre-campaign media activation. A marketer can use known customer or prospect data to influence who is eligible for a campaign, then use the same broader data infrastructure for measurement and optimization.
LiveRamp says the capability is available in 11 major markets. The company did not name all 11 markets in the announcement, so marketers should confirm availability for their own accounts rather than infer coverage from ChatGPT Ads’ wider geographic footprint.
First-party audience portability is the bigger operational change
OpenAI already supports Custom Audiences inside Ads Manager. Marketers can upload customer or prospect lists and use them for inclusion, exclusion or both.
LiveRamp makes that workflow more interoperable. Instead of treating ChatGPT as a separate destination that requires an isolated audience process, a brand can resolve first-party data through RampID and activate that audience alongside other media destinations.
For large media teams, the operational value is consistency. Customer suppression, loyalty segmentation and prospect activation can be managed from a common identity layer, reducing the chance that one platform is using a stale list while another is working from a newer version.
The same logic matters for agencies managing multiple channels. Audience strategy becomes less about recreating the same customer list inside every platform and more about maintaining one governed source that can be activated where it is supported.
Audience eligibility is not the same as access to conversations
The new integration should not be read as advertiser access to private ChatGPT conversations. It is an audience activation layer built around advertiser-owned first-party data.
OpenAI’s current documentation says custom audiences can be used to include or exclude groups from campaign eligibility. Inclusion audiences require at least 25,000 matched users, while smaller matched audiences can still be used for exclusions. OpenAI also says Ads Manager does not show individual matched users.
That distinction matters because ChatGPT Ads still uses a separate conversational relevance system. Audience controls can determine whether a known group is eligible for a campaign, but they do not give a marketer a list of what those people asked ChatGPT or a deterministic rule for the exact conversation in which an ad should appear.
As ContentGrip has previously noted in its coverage of ChatGPT Ads targeting controls, OpenAI is making eligibility controls more familiar while keeping much of contextual matching inside its own system.
The practical result is a hybrid model. First-party data can define who should or should not be considered for an ad, while OpenAI still decides much of when the ad is contextually relevant.
The next test is whether familiar audience plumbing improves outcomes
LiveRamp says Allegiance Group & Pursuant is implementing the integration for a nonprofit client. The agency framed the value around reaching ChatGPT users while understanding the channel’s contribution alongside other media investments.
That is the right measurement question for marketers testing the integration. A more familiar activation workflow is useful, but it does not by itself prove that a first-party audience will perform better in ChatGPT than a broader campaign.
Teams should track match rates, audience freshness, suppression accuracy and conversion quality before treating the integration as a performance upgrade. They should also keep consent and data-governance rules consistent with the way the original first-party data was collected.
The most important change is therefore infrastructural. ChatGPT Ads is becoming easier to plug into the same audience systems marketers already use for other paid channels.
If that interoperability keeps expanding, the operational gap between conversational advertising and established ad platforms will narrow. The media behavior will still be different, but the data workflow around it will feel increasingly familiar.