Identify Potential Payers Early
Detect users with a high probability of converting within the first week, just minutes after install.
Adapt Ad Strategy by User Type
Adjust ad pressure based on each user profile to protect high-value users or test more aggressive subscription strategies.
Optimize Beyond Ad Revenue
Measure the impact of monetization decisions on subscriptions, engagement, and long-term value.
Identify High-Value Users From the Very First Session
Loomit's Potential Payers model helps identify users who are more likely to make an in-app purchase or subscribe within the first week after install.
These users are significantly more likely to convert early, allowing publishers to react faster and make smarter monetization and UA decisions without waiting days for revenue signals to mature.
This insight can be used to personalize monetization, protect user experience, and prioritize the audiences most likely to generate long-term value.
Test the Right Strategy for Each User Segment
Different apps may benefit from different approaches. Loomit helps you test and apply the strategy that best fits your business model.
Protect likely payers
Reduce invasive ad formats for users who show strong purchase intent, helping preserve UX and increase the chance of conversion.
Drive subscriptions more aggressively
For some segments, you may want to increase ad pressure to encourage users to move to a subscription experience.
Experiment and learn
These strategies may point in opposite directions, and that is exactly why testing matters. Loomit helps you evaluate what works best for your app or game.
Activate Audiences Across Your Stack
Potential payer segments can be shared with third-party tools and data platforms, enabling teams to act on these insights across monetization, CRM, analytics, and user acquisition workflows.
Some publishers also send these tags to their MMPs to audit and optimize acquisition campaigns in real time. Instead of waiting seven days to confirm which users convert, teams can start adjusting campaign decisions based on early payer signals from the first session.
Loomit also supports tracking IAPs and subscriptions directly in the platform, so teams can measure how ad exposure and monetization experiments impact conversion, engagement, and LTV.
More Control Over Ad Exposure
Advanced Capping & Pacing
Control how often ads are shown to different user segments and adjust monetization pressure based on conversion behavior.
A/B Testing
Run experiments on ad exposure and monetization strategies to understand what improves subscriptions and IAP conversion.
LTV & Conversion Measurement
Track the downstream impact of monetization decisions directly inside loomit.