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PREVIOUS:App revenue growth depends on performance analysis and optimization. Key performance indicators (KPIs) like retention rate, average revenue per user (ARPU), lifetime value (LTV), click-through rate (CTR), in-app purchase/subscription conversion rate, & more must be tracked in order to achieve this. The performance of revenue streams/sources (in-app purchases, ads, subscriptions), user engagement levels (session duration/frequency), user churn points (where users drop off), popular features/content (what drives engagement/revenue), demographic/geographic segmentation (which user segments perform best), etc. can all be learned by developers by routinely analyzing these KPIs with analytics tools like Google Analytics or Flurry Analytics. Developers can optimize the performance of their app for higher profits by making data-driven decisions based on the insights obtained from KPI analysis.NEXT:The best model to use will depend on a number of factors, including user experience, engagement, ad relevance, and revenue potential. Each model has pros and cons of its own. Small advertisements that appear at the top or bottom of an app's interface are called banner ads, and they are frequently used to produce passive ad revenue. Full-screen advertisements known as interstitials run during moments of natural app flow, like game levels or app transitions. In return for watching a video ad, users who watch "rewarded videos" receive in-app rewards. This value exchange increases user engagement and ad revenue.

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