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Leveraging Retargeting to Retain Users

Martech Outlook | Thursday, April 13, 2023

As a key success metric in the mobile app ecosystem, retargeting focuses on engaging and retaining valuable users.

FREMONT, CA: Mobile has become increasingly important in recent years, and people use their phones and apps all day and night. The number of ad clicks was initially used to measure app marketing success, but later the focus shifted to the number of users who installed the app. Mobile app marketers need to maximize existing app users with retargeting. Engagement is the key success metric in the mobile app ecosystem. Active users can be encouraged to convert or engage in the app, and they can be prevented from leaving. Your mobile app marketing ROI (ROAS) can be improved by acquiring users similar to your high Lifetime Value (LTV) users rather than looking for users blindly.

Retargeting for mobile apps also encourages former users to become active users again. The goal is to retarget those once-active users, whether they have yet to open or uninstall the app and re-convert them into loyal users. The following areas benefit from retargeting to expand a company’s customer base.

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Audience: If the user uninstalls the app or if it remains installed on their device, the ad redirects them to the app store or launches the app. Create retargeting audience lists and segments to deliver this outcome. With fully automated data transfer via API integrations, audiences become dynamic, updating segments based on new user engagement through API integrations. It is best to abandon the traditional manual updates of .csv files and adopt emerging technological advancements.

Segments: You should define how you will slice and dice your target audience data once you have created your retargeting audience lists to identify profitable segments based on your target audience data. Segmenting your app marketing campaign is essential to its success. Sharing as much user behavior data as possible makes identifying and analyzing your target audience easier. By segmenting your target audience data, you can better understand who engages with your app and which groups of users have the highest lifetime value. You can also use segmentation to identify which users will likely convert and which will likely churn. This helps you optimize your retargeting campaigns to better serve different user segments and make more informed decisions about which segments to target.

Lapsed users: Retargeting is used by most advertisers to bring back users who have stopped playing or uninstalled their apps. In contrast, you can also use retargeting to prevent users from slipping away in the first place rather than waiting for them to do so. Different engagement data points, such as retention and purchase, can help identify users at risk of churn. Users can be retargeted to reengage with your app or perform specific new-to-them tasks, such as registering, purchasing, playing a specific level, or trying out a new feature.

Timing: It is also important to examine the lapsed window. This tells us how long the user has been unengaged with your application. The lapsed window will vary based on the app's category and what action you want the user to take. Because users who have yet to engage with your app for a long time are more likely to be inactive, this is important to measure. Taking measures to keep users engaged by measuring the lapsed window will give you a better understanding of when users are most likely to become inactive.

Clustering: Performance may vary depending on how you group your users. Clustering is helpful for both optimization and data analysis. It will determine why you are not seeing an incremental lift in your retargeting campaigns or which area has caused the underperformance. Clustering helps to identify different user segments, such as those with low engagement and those with high engagement, and then you can tailor your campaigns to each segment. This could increase your retargeting campaigns' efficacy by targeting users with more relevant content. It can also help identify underperformance areas by allowing you to analyze user behavior within each segment and adjust accordingly.

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