audiences are one of the key audiences in Facebook Ads targeting. They allow you to reach new users who have similarities with current visitors or buyers. Lookalike audiences look for users with points in common with your ideal clients. It is very useful because it allows you to open the radius of action of your campaigns without making your bids excessively expensive. To build this type of audience, different data sources can be chosen: page followers Website visitors CRM customer lists In order to work, at least 100 users are needed, although Facebook recommendations are more than 100. The larger the sample,
the more facilities the algorithm will have to generate an accurate lookalike. Once the data source has been chosen, the desired size must be selected. Being the most precise 1% and up to a maximum of 10%. Larger audiences have more reach, but sms services the points in common with the reference group are more diffuse. Small audiences provide more precision in the impacts, but reduce the reach. Depending on the strategy and objectives, it may be interesting to use more similar or broader audiences. Demographic specifications: once the lookalike audience has been created, the segmentation can be further specified through the Power Editor . If what is needed is an audience similar to the buyers, but also made up only of women from Seville, this can be done through the drop-down menus.
Narrowing by age, gender, and location is allowed. CRM clients If you already have a list of clients or leads, they can be uploaded to the Facebook platform. Through a CSV file or direct copy-paste. Facebook Ads will use the uploaded data to match it with its user base and thus be able to generate an audience. Only the customer's email is needed, but the more information you are able to provide, the more accurate the optimization will be. For example, if you have the repeat purchase data for each customer, you can carry out campaigns for recurring customers. Website With the Facebook pixel installed on the web you can create audiences based on users who have visited your website