{"id":3341,"date":"2024-01-28T09:10:58","date_gmt":"2024-01-28T09:10:58","guid":{"rendered":"https:\/\/persona.ly\/blog\/?p=3341"},"modified":"2024-01-28T09:12:40","modified_gmt":"2024-01-28T09:12:40","slug":"best-retargeting-practices-2024","status":"publish","type":"post","link":"https:\/\/persona.ly\/blog\/2024\/01\/best-retargeting-practices-2024\/","title":{"rendered":"5 Tips To Up Your Retargeting Game That Actually Work"},"content":{"rendered":"\n

Audience segmentation for retargeting <\/a>is a versatile (and often underestimated) strategy almost any app developer can benefit from. However unleashing the full potential of retargeting requires business expertise, a systematic data-centric approach, and, well, a lot of testing.<\/p>\n\n\n\n

Based on our experience, we have collected the best practices for re-engaging the audiences in various verticals. Here are some universal findings.<\/p>\n\n\n\n

Find the Right Crowd<\/h3>\n\n\n\n

Selecting the right segments and testing them plays a crucial role in retargeting. By dividing the segments based on their previous interactions with the app and their position in the app funnel, app marketers can deliver precise messaging to re-engage users.<\/p>\n\n\n\n

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Another aspect of the right segmentation is user intent. Depending on whether it\u2019s high or low, marketers can control budget distribution and cap the bid price to ensure the budget is not wasted on low-intent segments that have a lower chance of conversion.<\/p>\n<\/div>\n\n\n\n

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\"lightinthebox<\/a><\/figure>\n\n\n\n

Check out how we converted non-payers for LightInTheBox<\/a><\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n

Go ML<\/h3>\n\n\n\n

While everything seems pretty straightforward with retargeting on the surface – you know your audience and which segments to re-engage and the audience is familiar with the app – in practice, \u201ccracking\u201d the non-payer audience is a task of its own. This explains why most app marketers prefer to reserve their budget for payers and stay away from non-payers, thus limiting their growth opportunities.<\/p>\n\n\n\n

The right application of ML, targeting the most prominent users from segments of non-payers (there might be multiple), can help marketers tap into new options while still paying slightly lower, as the calculated intent is lower, like in the case of NextNinja\u2019s Grand Summoners<\/a>. <\/p>\n\n\n\n

Timing Matters<\/h3>\n\n\n\n

There is no universal formula to find out when to start re-engaging users for every app as no app is like others. When speaking about timing, there are 2 aspects worth mentioning: <\/p>\n\n\n\n