You can target audiences that are similar and share characteristics with others using Lookalike segments. Lookalike segments are built from first-party data, for example, a list of customers who have purchased specific products or used specific services.
You can learn more about Lookalike segments in the Google Ads Help Center.
Create the user list
Creating a Lookalike user list follows the same process of creating other
UserList types. Lookalike user lists are created
UserListService by setting the
lookalike_user_list field with a
LookalikeUserListInfo is created based
on existing audience segments. When creating a Lookalike segment, you need to
pass these existing audience segments in the
The sum of all seed lists must include a minimum of 1,000 active matched people.
It could take some time after creating your new campaign before you can effectively use your Lookalike segment. As a best practice, we recommend creating your campaign and Lookalike segment two to three days in advance to help ensure that it's ready when you want to start serving ads.
Lookalike segments refresh automatically every 1-2 days based on your available
customer data. If the minimum count of active users is not met, it could take up
to 3 days for your Lookalike segment to reflect the failed seed list requirement
and stop targeting potential customers. Check that your user list has enough
users by querying for
The process of creating and targeting a Lookalike user list is similar to
rule_based_user_list. You can find example code to create and
rule_based_user_list, which can be adapted to a Lookalike user list,
in Visitors to your
Review list performance
In order to collect performance data for your audience segments, issue a search
request against the
For example, you might look at the
determine if targeting the audience segment is actually leading to more
conversions, then adjust your bid modifiers accordingly.