Prospect audiences for OpenAI Ads
Your customer list is finite. Prospecting is how you grow past it without guessing. Reach people who look like your best customers and people actively shopping your category, each with a bid you control.
14-day trial · no card required · built from your matched audiences
What are prospect audiences?
Prospect audiences are the people you have not reached yet. The good ones are not random: they either resemble the customers you already have, or they are actively researching what you sell. Both signals beat broad, untargeted reach.
On OpenAI Ads, Bluegrass builds prospecting from two sources. Look-alike audiences start from your matched customers and find users who share their strongest signals. In-market audiences capture people showing intent in your category right now. Each one gets its own bid adjustment, so scale stays profitable.
Look-alikes and in-market, side by side
Look-alike audiences
Built from your matched Customer Match list, look-alikes find OpenAI Ads users who share the strongest signals with your best customers. Tighten the match for precision or widen it for reach, and bid each tier accordingly.
In-market audiences
Reach people actively researching your category, like project tools or a specific solution. Intent is already there, so these prospects tend to convert faster than cold reach.
Bid by how close the match is
Tighter look-alikes and stronger intent earn higher bids. Broader tiers hold near baseline so you scale without overspending.
Scale that stays close to what works
Grow past your list
Reach far more people than your CRM holds, without drifting into untargeted spend.
Catch active intent
In-market segments put you in front of people already comparing options in your category.
Bid per tier
Every similarity tier and segment carries its own adjustment, so spend tracks expected value.
From matched customers to prospecting in three steps
Start from customers
Use your matched Customer Match audience as the seed for accurate look-alikes.
Choose reach versus precision
Pick similarity tiers and add in-market segments for your category.
Set bids and pace
Give each tier its own bid adjustment, then layer day parting to concentrate spend in converting hours.
Start from customers, time it well
OpenAI Customer Match audiences
Look-alikes are only as good as their seed. Match your customers first, then build prospecting from them.
See Customer Match →OpenAI Ads day parting
Concentrate prospecting budget in the hours and days your data says convert.
Explore day parting →Prospecting questions, answered
What are prospect audiences on OpenAI Ads?
Prospect audiences are new people who resemble your customers or are actively researching your category. On OpenAI Ads that means look-alike audiences built from your matched customers and in-market segments, each with its own bid adjustment.
How are look-alike audiences built?
Bluegrass starts from your matched Customer Match audience and finds OpenAI Ads users who share the strongest signals with your best customers. You choose how tight the match is, from a close 1 to 2 percent to a broader 5 to 10 percent.
What is an in-market audience?
In-market audiences are people showing active intent in a category right now, such as researching project tools or comparing providers. They convert faster than cold reach because the need is already there.
How should I bid on prospecting versus customers?
Bid highest on proven customers, lean into close look-alikes and strong in-market segments, and hold broad segments near baseline. Then layer day parting so prospecting spend concentrates in converting hours.
Grow beyond your customer list on OpenAI Ads
Build look-alikes from your best customers and reach in-market prospects, with a bid for each.