Facebook Ads Details Targeting Precision Types
So far, we've looked at how to set it up, but there are some audience settings that you should never do.
Here are three representative examples.
Segmenting your audience too much
First, don't segment your audience.
Targeting is set for each ad set.
It may be that this ad set is being sold based on targeting that is too specific.
When it comes to retargeting, it is natural that some people are saying that bidding should be done in smaller increments.
Bidding logic has changed significantly from us cell phone number list before, and today's AI is powerful and controlled by machine learning, so it is necessary to hold sufficient data.
If you break it down too finely, it tends to not work well with machine learning.
It will be necessary to develop targeting that will allow machine learning to flourish.
The unique feature of AI bidding strategies is that the AI compiles performance data and automatically places bids based on your goals.
The key point about AI bidding is that "by having it learn from sufficient data it will be able to make the right moves."
Since AI learns on an ad set basis, if the ad set (i.e. the target) is overly subdivided , it becomes difficult to accumulate sufficient learning data for each one.
If you do that, the optimization will not work properly.
Facebook's guidelines recommend getting "50 conversions per week per ad set."
If it falls below this limit, there won't be enough training data and performance will become unstable.
when using advanced targeting on Facebook ads?
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tmonower111
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