User acquisition (UA) is not just about purchasing installs from a network. It involves finding patterns amongst different audiences and matching them to a product feature, a promise, encouraging engagement, return visits, and any sort of user behavior that can create value over time. As the nominal amount of apps rise in app stores, the...
Adding ads to a subscription app, or subscriptions to an ad-supported one, seems like it could be an easy route to more revenue. In reality, a second revenue stream only pays off when it creates new value, rather than quietly shifting revenue from one model to another. The real challenge is increasing profitability without sacrificing...
App Market Research in 2026: How to Choose the Best Country & Category It’s rare when the biggest market is the best fit. Reliable market research should point your team in a direction where it can gain traction: where your app can solve a clear problem for an audience that is reachable, serviceable, and can...
Campaigns vary in their types of success: they can spend the same amount of spend and get a similar number of paying users. However, each campaign produces its own patterns of user behavior and revenue streams. One campaign could bring in mostly annual subscribers and receive bigger payments upfront. The other campaign might attract mostly...
App subscriptions turn a one-time install into ongoing revenue, where users pay regularly (weekly, monthly, or yearly) for continued access to the app or premium features. For app publishers, subscription business models are particularly valuable. This is because a single successful acquisition produces recurring revenue, which is more predictable than one-time purchases or pure ad...
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’s User Acquisition Report. Predicted lifetime value (pLTV) uses early user signals and historical cohort data to forecast the total...
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