Mistake #2: Generic Starting Group

[sumaiyakhatun26]

The smaller the size, the smaller the target group. Consequently, more precise, with more common features.

At first, stick to groups of 2% or less.


A lookalike group is created from a custom group. It will only be as good as the source it is created from.

So focus very hard on creating a custom group to get the best lookalike group possible.

For example, don't create a lookalike group based on traffic to your homepage. poland rcs data Chances are, a lot of people bounce off of it. Instead, create a group based on users who have been to your site multiple times or have visited key tabs like "Offer" or "Contact Us."

You can also create a similar group based on your email database, for example. But why do it based on the entire database? Most probably don't read your emails, and not a few of them regularly.

Create a segment of really active (loyal) people in your email marketing tool and look for people similar to them.

Mistake #3: Beware of Audience Overlaps
Your Facebook Lookalike Audience, if it uses Facebook pixel data , includes some of your source audience. It's silly, but that's how the system works.

For you, this is a problem – you risk that the campaign will reach the same people over and over again (I have a whole talk about it on my YouTube channel and a podcast episode – I recommend it!).

Without going into details of what and why, let's focus on solving the problem itself.

All you need to do is exclude the appropriate group at the ad set level. Just like in the example.