Lookalike Audience is a powerful tool to increase the effectiveness of traffic arbitration on Facebook. They allow us to create new audiences that are similar to existing ones, and thereby increase the number of potential customers who may be interested in our product or service.
In this article, we will look at how to use lookalike audiences to increase the effectiveness of traffic arbitration on Facebook, as well as provide practical examples.
What is lookalike audience?
Lookalike audiences are new audiences that are created based on existing ones. To create them, Facebook uses machine learning algorithms that analyze data on user behavior on the social network and use this data to create new audiences that are similar to existing ones.
How to create a lookalike audience?
To create a lookalike audience, you need to have an existing audience, which we will use as a starting point. This audience can be created based on various criteria, for example, users who have visited our website or have shown interest in our product or service.
After we have selected the initial audience, we can create a lookalike audience in the \"Audiences\" section in the settings of the advertising campaign on Facebook. To do this, select the option \"Create a new audience\" and select \"Lookalike audience\" as the type of audience.
Then you need to select the initial audience that we will use to create a lookalike audience, and also select the parameters for creating an audience, for example, its size and the countries in which we want to show ads.
How to use lookalike audience to increase the effectiveness of traffic arbitration on Facebook?
Lookalike audiences can be used to increase the effectiveness of traffic arbitration on Facebook. They allow us to expand our audience and attract new potential customers who may be interested in our product or service.
For example, if we have an initial audience of users who have made a purchase on our site, we can create a lookalike audience that will consist of users who are similar to our existing customers. This will allow us to attract new customers who may be interested in our product or service.
We can also use lookalike audiences to refine our target audience. For example, if we have an initial audience of users who have visited our site, we can create a lookalike audience that will consist of users who are similar to our existing visitors, but at the same time will have a higher probability of making a purchase.
Examples of using lookalike audiences in practice
One example of using lookalike audiences is an Airbnb campaign. The company used lookalike audiences to attract new users who may be interested in renting a vacation home.
To do this, the company used the initial audience of users who had already made a reservation on the Airbnb website. Then a lookalike audience was created, which consisted of users who are similar to existing Airbnb customers.
The results of the campaign were impressive: the company received more than 5 million new users and increased its revenue by 10%.
Another example of using lookalike audiences is an Uber campaign. The company used lookalike audiences to refine its target audience and attract new users.
To do this, the company used an initial audience of users who had already taken trips on Uber. Then a lookalike audience was created, which consisted of users who are similar to existing Uber customers, but at the same time had a higher probability of making a trip.
The results of the campaign were also impressive: the company increased the number of trips by 25% and increased its revenue by 30%.
Conclusions
Lookalike Audience is a powerful tool to increase the effectiveness of traffic arbitration on Facebook. They allow us to create new audiences that are similar to existing ones, and thereby increase the number of potential customers who may be interested in our product or service.
To use lookalike audiences effectively, it is necessary to have an existing audience that we will use as a starting point, as well as choose the right audience creation parameters.
Examples of using lookalike audiences in practice show that using this tool can lead to a significant increase in the number of customers and the company's revenue.
