{"id":18618,"date":"2026-09-23T11:20:44","date_gmt":"2026-09-23T11:20:44","guid":{"rendered":"https:\/\/tenjin.com\/?p=18618"},"modified":"2026-09-23T11:20:47","modified_gmt":"2026-09-23T11:20:47","slug":"tenjin-extends-pltv-cohorts-to-365-days-for-longer-term-app-ltv-analysis","status":"publish","type":"post","link":"https:\/\/tenjin.com\/pt\/blog\/tenjin-extends-pltv-cohorts-to-365-days-for-longer-term-app-ltv-analysis\/","title":{"rendered":"Tenjin Extends pLTV Cohorts to 365 Days for Longer-Term App LTV Analysis"},"content":{"rendered":"

Tenjin has expanded its LTV Prediction (pLTV) capabilities with cohort analysis available up to 365 days. Mobile marketers can now look beyond early-day performance and analyze predicted lifetime value across longer cohort windows directly inside Tenjin\u2019s User Acquisition Report.<\/em><\/p>\n\n\n\n

Predicted lifetime value<\/a> (pLTV<\/a>) uses early user signals and historical cohort data<\/a> to forecast the total revenue users are expected to generate. Tenjin\u2019s model combines IAP and ad mediation revenue<\/a> into a single prediction so teams can act on future value sooner.<\/p>\n\n\n\n

While early performance signals are useful, it\u2019s not enough for every type of app. For many subscription and non-gaming apps, user value continues to accumulate well beyond D7 or D30 through renewals, repeat purchases, in-app activity, and longer retention cycles. A longer pLTV window helps teams evaluate acquisition against the timelines on which their users actually generate value.<\/p>\n\n\n\n

Extended Up to 365 Days<\/h2>\n\n\n\n

pLTV cohorts<\/a> are now available for up to 365 days in Tenjin\u2019s User Acquisition Report. From the \u201cEdit Metrics\u201d section, UA managers can add longer windows alongside spend, attribution, revenue, and other performance metrics. They can then compare the predicted value across campaigns, channels, countries, and other dimensions for more context.\u00a0<\/p>\n\n\n\n

Tenjin\u2019s pLTV model uses early signals to forecast user value. Extending cohort windows gives marketers a longer view of that predicted value, without changing the goal: making informed decisions sooner. <\/p>\n\n\n\n

Why Longer pLTV Cohorts Matter<\/h2>\n\n\n\n

Extending the time horizon matters because different apps monetize<\/a> on different clocks. A hypercasual game might generate a meaningful share of its revenue within days, but many other apps have longer value curves.<\/p>\n\n\n\n

Subscription Apps Build Value Over Months<\/h3>\n\n\n\n

Para subscription apps<\/a>, a new trial<\/a> is only the beginning of the revenue relationship. Users who end up becoming monthly subscribers may renew several times and annual subscriptions have an even longer measurement cycle. That\u2019s why early predictive metrics do not always match to the campaigns driving valuable long-term subscribers. Some campaigns can have healthy early acquisition performance, yet deliver different long-term value.<\/p>\n\n\n\n

Longer pLTV cohorts give subscription teams a way to connect acquisition decisions with the longer revenue cycles their business actually depends on. It also complements Tenjin\u2019s Subscription Revenue Reporting<\/a>, which already surfaces trials, new subscriptions<\/a>, renewals<\/a>, cancellations<\/a>e recurring revenue<\/a> alongside campaign data.<\/p>\n\n\n\n

Non-Gaming Apps Often Have Longer Value Cycles Too<\/h3>\n\n\n\n

Many non-gaming apps, from productivity and wellness to education, generate their value through repeat engagement cycles, upgrades, subscriptions, and purchases over time. Judging acquisition primarily on CPI, D1 revenue, or another early metric can favor users who monetize quickly instead of those who generate the most value. <\/p>\n\n\n\n

Similar to subscription apps, extended pLTV cohorts help teams evaluate acquisition quality against a timeline that matches how their users create revenue.<\/p>\n\n\n\n

Make Earlier UA Decisions With a Longer View of Value<\/h2>\n\n\n\n

Longer pLTV cohorts help teams:<\/p>\n\n\n\n