About Strategy & Goals (Facebook September)

I often test new products with A+ campaign. For example, if I make a profit of $18 per order, I will control the advertising cost within the range of $10-15/order. And I will go to A+ campaign 1-1-10. On condition that the pixel I use to run has data.View attachment 473685
Very good, I will refer to my customers.
 
When testing new products, I prioritize ABO first to easily control the budget of each adset. When there is a winner, I switch to CBO so that the allocation algorithm is more effective.
The test budget is usually 20-30$ for each adset/day (depending on the industry).
For scaling, I gradually increase the budget by 20-30% every 24 hours, and if an adset has stable orders, I double it to capture more data.
 
Hello Noona.
Which strategy do you find more effective when running CBO or ABO when testing new products?
What budget do people usually start testing with for an ad set?
When should you scale by increasing your budget and when should you double down on your ad set?
Let's discuss ;)
Testing with ABO is the best option for you. Once you have determined which campaign is most suitable, you can switch to CBO.
For each account, you should test a budget range of $100/day to evaluate whether the campaign price is good or not is the most effective way. However, some specifics may depend on your account, because there may be new accounts with a limit of only $5/day, $50/day,... there are accounts with no spending limit. Please suggest this issue to your account provider so that you can benefit.
Increasing the number of groups depends on the quality of testing and your company model. Wish you success soon with Facebook ^^
 
When testing new products, I prioritize ABO first to easily control the budget of each adset. When there is a winner, I switch to CBO so that the allocation algorithm is more effective.
The test budget is usually 20-30$ for each adset/day (depending on the industry).
For scaling, I gradually increase the budget by 20-30% every 24 hours, and if an adset has stable orders, I double it to capture more data.
Good share! I used to just jump straight into CBO and always wondered why results were so inconsistent. Splitting with ABO in the beginning seems way more efficient.
 
Good share! I used to just jump straight into CBO and always wondered why results were so inconsistent. Splitting with ABO in the beginning seems way more efficient.
Yes, you try to set it up and get the result.
 
Test new products: ABO, $5–20/ad set/day depending on the market.
Once you have a winner: scale by increasing the budget by 20–30% or duplicate the ad set.
Want to scale big and stable: switch to CBO with ad sets that have proven effectiveness.
 
Hello Noona.
Which strategy do you find more effective when running CBO or ABO when testing new products?
What budget do people usually start testing with for an ad set?
When should you scale by increasing your budget and when should you double down on your ad set?
Let's discuss ;)
For testing, ABO still gives cleaner data on what’s working. CBO shines once you’ve got winners. I usually start $20–30/adset for tests, then scale by 20–30% daily if performance is steady. If ROAS spikes, duplicate the adset at higher budget instead of just cranking it up :cool:
 
Test new products: ABO, $5–20/ad set/day depending on the market.
Once you have a winner: scale by increasing the budget by 20–30% or duplicate the ad set.
Want to scale big and stable: switch to CBO with ad sets that have proven effectiveness.
Your setup is great, I will test it and give feedback
 
Each way of running has its own advantages, it mainly depends on which type you need and what your purpose is, if you need to optimize and scale then you should run CBO, but if you use it for testing and just need to control and compare the effectiveness then you should run ABO
 
Each way of running has its own advantages, it mainly depends on which type you need and what your purpose is, if you need to optimize and scale then you should run CBO, but if you use it for testing and just need to control and compare the effectiveness then you should run ABO
Yes sir, I am experimenting with ABO and getting very good results.
 
From my experience, both CBO and ABO can work depending on the stage. For testing, some prefer ABO because it gives more control over individual ad sets, while others use CBO to let the algorithm find the winner faster.
 
From my experience, both CBO and ABO can work depending on the stage. For testing, some prefer ABO because it gives more control over individual ad sets, while others use CBO to let the algorithm find the winner faster.
I also tried CBO, the results were pretty good
 
With new products, I often test ABO to separate data more clearly, and when I have a winner, I switch to CBO for a stronger optimization algorithm. The budget depends on each person's pocket, but usually $20-$30/adset is enough to get a signal. I prefer to increase the scale gradually instead of "jumping" to avoid algorithm shock. As for you, when you see that the ad set is giving a stable ROAS, do you choose to gradually increase the budget or duplicate the ad set to run in parallel?
 
With new products, I often test ABO to separate data more clearly, and when I have a winner, I switch to CBO for a stronger optimization algorithm. The budget depends on each person's pocket, but usually $20-$30/adset is enough to get a signal. I prefer to increase the scale gradually instead of "jumping" to avoid algorithm shock. As for you, when you see that the ad set is giving a stable ROAS, do you choose to gradually increase the budget or duplicate the ad set to run in parallel?
Bro, when the campaign is approved and spent, which low budget campaign gives good results, I will increase the budget because multiplying it is very risky.
 
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