This entry provides detailed information and guidelines on how to create and configure a Lookalike Audience.
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Lookalike Audiences allow you to target more people who look like an established input audience. Based on a trained model that analyzes many Mapp datapoints, the Lookalike Audience uses an existing pool of users to build a Lookalike Audience of users that are similar to the input audience. Lookalike Audiences can be used to support any business objective: targeting people who are similar to converted users, people that have certain interests, or simply to drive additional awareness of a brand. The Mapp Lookalike Audiences update in real-time which gives you a unique opportunity to target them at an early stage.
The below screenshot and list will give you a clear view of how to create a Lookalike Audience. It also contains additional information about the available options that can be selected as Audience Input.
Audience Input: Choose the relevant Input Audience based on Mapp Audience, Mapp Pixel ID, or External Pixel.
The Input Audience can be described as a pool of users isolated in one of the following dimensions:
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Select Platform: Choose the desired platform you want the audience to be pushed to.
Privacy: In order to limit the scope of the possible lookalikes due to privacy motives you can enable a filter on certain Mapp Pixels for geographical countries. For instance, by selecting the United Kingdom you can restrict the lookalike audience to only include users with datapoints relevant to this particular country.
The reason for two filter settings in the Privacy section can be derived from the fact that:
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When clicking on Create Lookalike Audience the following actions will be executed in subsequent order:
Lookalike Audience can be targeted within a campaign.
Please note that additional lookalikes will be added in real-time and that we do not provide an estimate of the total size of the segment. Therefore, be aware that a daily budget cap has been set at a campaign level! |
‘’The selected Audience Input does not contain enough data to determine lookalikes. Please refer to the Mapp wiki for additional information.’’
As the pop-up already mentions, our program couldn’t find enough suitable data for a lookalike audience. But what is enough? As soon as you hit the ‘’create button’’, a query in our system will start to run. It gathers all users with a last-7-days recency and with at least 3 data events that matches the data events of your created audience. The number of unique users from this query should be at least 100. If not, you’ll receive an error.