claim: “The element needs to look like the one that defines my ideal client.”
This is a myth. that’s why…
History class
First of all, there is some history behind this feature. Remember this Meta introduces audiences in 2013. Yes, 12 years ago.
At that time, it was a huge deal. In 2012, you must use a combination of interests and behaviors to define your ideal client. That was a pain. It looks like an audience to automate the process and find other people who like your customers.
Algorithm Targeting
But now the situation is different. Today, a similar process has occurred in algorithm-targeting algorithms. Meta works with countless data and countless real-time signals to find an audience for your ads.
It is also based on things like your pixel activity, conversion history, and prior interaction with ads. In other words, everything you want to do with an audience like an audience.
Trust audiences that look like audiences, but not surprisingly, positioning algorithms that work in many of the same ways. But that’s not the only problem here.
Audience suggestions
The biggest problem is that LookAlikes are only considered as recommendations when optimizing conversions.
You provide more than a million suggestions and in many cases the Meta can blow over. The algorithm will reach the people you want to achieve.
exception?
Unless you are dealing with a brand new account that does not exist for pixels, conversions, and participation data, it is unlikely that meta-information will require this information. And, if you use LookAlikes, they probably aren’t doing anything.
There is no harm in using audiences not being obsessed with them. Spend more time on what really matters to attract your ideal audience. Read my recent swamp post Understand the reasons in this regard.
