I prefer starting with smaller budgets and increasing them once the results look stable. It makes testing less risky.Hello guys, How do you guys handle budget pacing when running multiple ad sets? Do you prefer setting a higher daily budget and letting the algorithm spend freely, or do you cap it strictly to control daily expenses?
Yes, indeed, audience overlap could be causing higher costs for little additional coverage. I would review the overlap statistics and test the consolidation of the similar ad sets.If several campaigns target similar audiences, they may compete for the same people. That can affect how efficiently the budget is spent.
the fact is that I do not waste my money on the test, making the ad set rest when they have reached a stable stage since it does not make any sense to spend money on the untested product.Hello guys, How do you guys handle budget pacing when running multiple ad sets? Do you prefer setting a higher daily budget and letting the algorithm spend freely, or do you cap it strictly to control daily expenses?
I prefer starting with smaller budgets and increasing them once a campaign shows consistent results.Hello guys, How do you guys handle budget pacing when running multiple ad sets? Do you prefer setting a higher daily budget and letting the algorithm spend freely, or do you cap it strictly to control daily expenses?
yes, because scaling on conversion is far better than trying to just get clicks at a low cost. i would give enough information to each campaign before shifting budgets towards the successful campaigns.I'd avoid giving every ad set a high budget from day one. Start small, see which ones are actually converting, and increase the budget slowly. Makes it easier to control spending without missing out on good performers.