Interested in sharing your feedback about the Google Ads API?
Sign up to be invited to participate in user research!
Scenario
Say you have a site where you've configured several custom remarketing tag
parameters to capture the following attributes of users:
event
- The category of
page on your site, such as checkout, cart, etc.
cartsize
- The number of items in a user's shopping cart.
checkoutdate
- The date on which a user checked out. You only set this
parameter when a user has actually completed a purchase.
You're interested in showing more impressions to users who have placed multiple
items in their shopping carts and initiated the checkout process. You also want
to find users who have made a purchase during November and December because you
plan to have a big sale on your site during those months.
You can describe this set of users with either of the following rules:
- Users who visited the checkout page and had more than one item in their
cart.
- Users who checked out during the months of November or December.
If a user falls into either category 1 or category 2, you want to increase your
bids in specific ad groups or campaigns by 25%.
Objects
Take a look at the structure of a rule-based user list. A rule-based list is
represented in the Google Ads API as a
rule_based_user_list
.
The following diagram shows what the
rule_based_user_list
for this
use case will look like when we're done.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-01-28 UTC.
[null,null,["Last updated 2025-01-28 UTC."],[[["This guide demonstrates how to target specific user segments for remarketing using rule-based user lists in Google Ads, based on custom parameters like event, cart size, and checkout date."],["It focuses on creating rules to identify high-value users, such as those with large shopping carts who initiated checkout or those who purchased during specific months (November/December)."],["By implementing these rules, you can effectively increase bids for targeted ad campaigns to re-engage these valuable user segments, potentially leading to higher conversion rates."],["The example illustrates how to structure a `rule_based_user_list` to capture users fulfilling either of two criteria: having multiple items in their cart and reaching the checkout page, or having completed a purchase in November or December."]]],[]]