{"id":116,"date":"2026-09-29T15:09:48","date_gmt":"2026-09-29T15:09:48","guid":{"rendered":"https:\/\/persona.ly\/glossary\/programmatic-mobile-retargeting\/measurement\/"},"modified":"2026-10-12T11:32:18","modified_gmt":"2026-10-12T11:32:18","slug":"measurement","status":"publish","type":"page","link":"https:\/\/persona.ly\/glossary\/programmatic-mobile-retargeting\/measurement\/","title":{"rendered":"How Programmatic Retargeting Measurement Works"},"content":{"rendered":"\n
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Programmatic retargeting measurement is the process of attributing user re-engagement, conversions, and revenue to paid retargeting campaigns. MMPs (Mobile Measurement Partners) use re-attribution rules, inactivity windows, and re-engagement windows to determine which campaign receives credit when an existing user returns to an app.<\/p>\n<\/div><\/div>\n\n\n\n

Unlike user acquisition attribution<\/a>, re-attribution determines which paid retargeting campaign successfully brought an existing user back into the app.
Measuring programmatic retargeting is often perceived as complicated, but the fundamentals are surprisingly straightforward. Once you understand how MMP attribution, inactivity windows, and re-engagement windows work, measuring retargeting performance becomes much easier. The truth is that retargeting measurement is simpler than it sounds – understanding a few key concepts gets you 90% of the way there.<\/p>\n\n\n\n

How MMP Attribution Works in Mobile Retargeting?<\/h2>\n\n\n\n

At its core, mobile retargeting<\/a> attribution is straightforward. When an inactive user returns to your app after interacting with a retargeting ad, the MMP records a re-attribution (or re-engagement) event and credits that return to the retargeting campaign.
What often confuses marketers is dual attribution. After a successful re-attribution, subsequent in-app events and revenue can be attributed to both the original user acquisition<\/a> source and the retargeting campaign<\/a>. This isn\u2019t a reporting error – it\u2019s standard MMP behavior that helps measure the impact of both acquisition and re-engagement efforts.
Because dual attribution can make reporting more complex, MMPs provide attribution flags like is_primary_attribution<\/mark><\/strong> to distinguish UA from retargeting performance. Configuring these correctly before scaling campaigns makes reporting significantly easier.<\/p>\n\n\n\n

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Example<\/strong><\/p>\n\n\n\n

A user installs a shopping app on June 1 via a UA campaign, goes inactive on June 10, sees and clicks a programmatic retargeting ad on June 20, returns, and makes a $50 purchase on June 25. The MMP records a re-attribution to the retargeting campaign on June 20. The $50 purchase is attributed to the retargeting campaign (re-engagement attribution) and<\/em> remains visible under the original install cohort (dual attribution). Filtering by a is_primary_attribution flag separates the two views.<\/p>\n<\/div><\/div>\n\n\n\n

\"Mobile<\/figure>\n\n\n\n
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\u201cIn Singular, advertisers can view the dual attribution<\/a> results in their reports by either using the default Dynamic Source (attributed to the last re-engagement), or choosing the Original Source (attributed to the original install attribution). The most important configurations to get right as part of the setup are the Attribution Windows and Re-Engagement Inactivity Window – both are easy to view in Singular\u2019s Partner Configuration.\u201d<\/p>\nEran Friedman, CTO & Co-Founder at Singular<\/cite><\/blockquote>\n\n\n\n

Two settings decide what counts as a re-engagement: the inactivity window and the re-engagement window.<\/p>\n\n\n\n

What is the Inactivity Window?<\/h2>\n\n\n\n

The inactivity window defines how long a user must remain inactive before becoming eligible for retargeting. It\u2019s one of the most important settings in any retargeting campaign because it determines whether users are classified as active or dormant.<\/p>\n\n\n\n

Most MMPs use a default inactivity window of seven days. If a user returns before that period expires, the MMP won\u2019t count it as a re-engagement because the user is still considered active.<\/p>\n\n\n\n

In real life, there is no universal inactivity window. The optimal timing depends on your app\u2019s user behavior, monetization model, and LTV curve. Rather than relying on defaults, leading teams use lifecycle data to identify when users are unlikely to return organically.<\/p>\n\n\n\n

Timing is critical. Retarget too early, and you risk paying for users who would have returned on their own. Wait too long, and competitors may capture their attention before you have the chance.
What\u2019s actually moving the needle:<\/p>\n\n\n\n