Facebook Account Discussion

[YK AGC]

Should I split my ads into multiple groups or one group? Can anyone help me?

 

[DuyMarco]

Do you need a bm2500 agency advertising account?

 

[imccafey]

Short answer is it depends, as in it depends what you’re optimizing for.

Group them all up and it gives the algo more room to find your best-performing creative/audience, but you lose visibility into what specifically worked. Multiple ad sets let you test variables (audiences, creatives, placements) and control distribution more closely, but your budget gets spread thinner.

Could go with the usual approach and test with multiple ad sets early, then consolidate into the winner(s) once you have data. It's one way to go about it.

 

[Accflip]

depends on the scale, if it's 1-3 ads then it can be controlled in general. but if it's around 50-100 then groups is highly recommended to keep everything in order and make tacking easily.

 

[YK AGC]

Do you need a bm2500 agency advertising account?

you sell or rent them

 

[YK AGC]

Short answer is it depends, as in it depends what you’re optimizing for.

Group them all up and it gives the algo more room to find your best-performing creative/audience, but you lose visibility into what specifically worked. Multiple ad sets let you test variables (audiences, creatives, placements) and control distribution more closely, but your budget gets spread thinner.

Could go with the usual approach and test with multiple ad sets early, then consolidate into the winner(s) once you have data. It's one way to go about it.

You mean more ad groups will be more optimal

 

[YK AGC]

depends on the scale, if it's 1-3 ads then it can be controlled in general. but if it's around 50-100 then groups is highly recommended to keep everything in order and make tacking easily.

I thought I would do that to cut down on advertising costs.

 

[hallooo3]

I would split them.

 

[YK AGC]

I would split them.

How many groups do you think you will need for a campaign?

 

[hallooo3]

How many groups do you think you will need for a campaign?

I suppose you want to different audiences or budget strategies, so multiple groups would make sense.

 

[jonhmaketrust]

Use multiple groups bro, good groups you encrease buget, not good group you pause

 

[Win Agency]

Should I split my ads into multiple groups or one group? Can anyone help me?

1 ad set, broad or lookalike, with 3–5 creatives inside.
This gives stable results and avoids killing learning.
Split later, once you see winners:
Duplicate the ad set → test new audience segments.
Don’t spread your budget too thin. Each ad set should have enough daily budget to get 50 conversions per week (Meta’s learning guideline).
Example
Budget = $100/day
Start: 1 ad set → $100/day → 5 creatives.
Once you identify a good creative, duplicate the ad set and test 2–3 audiences. Each at $30–50/day.
Start with one group, multiple ads (for stability).
Don’t split so much that your budget “starves” — aim for enough conversions per set.

 

[YK AGC]

I suppose you want to different audiences or budget strategies, so multiple groups would make sense.

it will be more effective right bro

 

[YK AGC]

Use multiple groups bro, good groups you encrease buget, not good group you pause

What a great solution, thanks for your input.

 

[Ladonna]

In my opinion you should create multiple groups, then once the campaign is live you can delete any groups that are not performing well.

 

[YK AGC]

In my opinion you should create multiple groups, then once the campaign is live you can delete any groups that are not performing well.

Do you have to try multiple campaigns?

 

[AZ Smith]

You can run campaigns in many groups, my friend, it will get good response, I myself have run campaigns in multiple groups and got good response.

 

[hallooo3]

it will be more effective right bro

Of course, it's a data driven approach after all, we want to maximize our odds at succeeding

 

[imccafey]

You mean more ad groups will be more optimal

Won't necessarily say it's more optimal. To put in another way, ad groups make sense when you want a more holistic approach, since the algo can pool the data and optimize across the board. It's like a fire-and-forget sort of thing so if that suits you, then yeah I suppose it's more optimal in that sense.

 

[SynerArc Media]

It usually depends on your testing strategy—many advertisers split ads into multiple groups to compare performance.