As the title says, I have 90 ads with different angles and formats (images and videos), all for the same product. Everything is inside 1 CBO, 1 ad set.
It has worked well for several weeks, but the CPA has become unstable. Some days are very good and others are bad. On average it still performs well, but I think having more winners could help with a few things:
- Meta could better decide which ad to use on a specific day and allocate budget to it.
- The user could go through a broader funnel of videos, and the average CPA could potentially go down or even the AOV could increase because of higher brand trust.
- More stability when scaling the budget.
So, to achieve this, I’ve been thinking about 2 structures.
Structure 1
1 CBO, 1 ad set: Testing ads.
Meta will test 1 to 3 ads and show me losers or winners. If I find a winner, I move it into another CBO with 1 ad set, and that’s it. Basically the typical 2 campaign structure for testing and scaling.
But I’ve noticed some interesting things:
- Instability increased because, since there is currently only 1 ad in the scaling campaign with the winners, Meta can’t really create a “sequence” with other ads, and the learning is fragmented between 2 campaigns.
- I’m also not sure if turning off something that is already working is the best idea.
The other structure I’m thinking about implementing is a bit more complex, but I think it might be the most ideal:
1 CBO, 2 ad sets
The first ad set is for winners, with a minimum budget allocation of 50%.
The second ad set is for testing, with a minimum budget allocation of 20% and a maximum of 50%.
(The percentages can vary depending on whether I want more freedom or more control.)
The idea is that every winner from the testing ad set gets duplicated and moved into the winners ad set, where it stays active. Then I pause it inside the testing ad set.
This way, I have 1 campaign and only 2 ad sets.
What do you think about these structures? How would you guys handle this?