When a Meta ad set starts, Meta's algorithm goes through a learning phase, testing audiences, placements and delivery to find the most efficient way to get results. It usually needs about 50 optimisation events in a week to finish.
If an ad set doesn't get enough events, because of a small budget, a narrow audience or low conversion volume, Meta marks it as having failed learning. Delivery is then less efficient, which usually means higher costs and less predictable results.
Opteo flags these ad sets as Ad Set Failed Learning Issues, under Account Management, so you don't have to check each ad set in Ads Manager.
Fix it
Open the Issue to see which ad set it is, then open it in Meta Ads Manager.
Give it a better chance of getting enough events:
- Increase the budget - Broaden the audience - Optimise for an event that happens more often - Simplify the ad set, or combine ad sets that split the same budget
Make the change in Meta Ads Manager, and avoid frequent edits while it learns again.
Click Recheck in Opteo. The Issue is resolved once Meta no longer marks the ad set as failed, or if you've paused it.
If an ad set keeps failing, consider pausing it and moving its budget to a stronger ad set.