How to run ABM when the ad platform can't target accounts
A practical ABM method for ad platforms without account targeting, like ChatGPT ads: target the problem, identify the company after the click, then orchestrate.
ChatGPT ads for ABM
ChatGPT ads can't target a list of companies. They can do something ABM programmes have always wanted: reach a buyer at the moment they describe the exact problem your product solves. Pair that with company identification on your website, and you get account-based results from a question-based channel.
| ChatGPT ads with company identification | Programmatic ABM display | |
|---|---|---|
| How you reach accounts | By the problem they describe | By IP address or matched device IDs |
| When you reach them | While they ask for vendors | While they browse other sites |
| Account targeting | None before the click; named after it | Yes, with match rates that fall for small and remote-heavy companies |
| Intent signal | The question itself | Third-party intent data, inferred |
| Typical use | Capturing demand at the decision | Building awareness across a list |
They work well together: programmatic keeps your name in front of a list, ChatGPT ads catch the moment of choice. More in Programmatic ABM vs AI advertising.
Questions
You can upload hashed email lists as audiences. Exclusion lists have no minimum, but inclusion lists need at least 25,000 matched users, which most ABM lists won't reach. That's why we use lists to exclude customers and identify accounts after the click.
It depends on how many of them ask the questions you advertise on. We name a good share of ad clicks as a company; larger companies on office networks are easier to identify.
No. It adds a channel your ABM platform can't reach and feeds it named accounts with real intent.
Free AI Shortlist Check
On a free AI Shortlist Check we look at what AI tells your buyers and how many visitors we could name.