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    Home/Metrics/ARPU and ARPPU: Revenue Per User Metrics for Mobile Apps
    Metrics3 min read

    ARPU and ARPPU: Revenue Per User Metrics for Mobile Apps

    How to calculate and optimize ARPU and ARPPU for mobile apps, with benchmarks by category, model comparisons, and growth strategies.

    ARPU and ARPPU: Revenue Per User Metrics for Mobile Apps

    Table of Contents

    What Are ARPU and ARPPU?Why Both Metrics MatterARPU Benchmarks by Category (2026)ARPU by Monetization ModelSubscription AppsIAP AppsAd-Supported AppsHybrid ModelsCalculating ARPU CorrectlyTime Period ConsistencyNew vs Existing UsersGeographic SegmentationIncreasing ARPUConvert More Free UsersIncrease ARPPUReduce Churn Among PayersARPU in Unit EconomicsRelated Topics

    What Are ARPU and ARPPU?

    ARPU (Average Revenue Per User) measures the average revenue generated per user across your entire user base, including non-payers. ARPPU (Average Revenue Per Paying User) measures the average revenue only among users who have made at least one purchase.

    ARPU = Total Revenue / Total Active Users

    ARPPU = Total Revenue / Total Paying Users

    The gap between these two numbers reveals your monetization efficiency. If ARPU is $0.50 and ARPPU is $25, your conversion rate to paying is roughly 2%.

    Why Both Metrics Matter

    ARPU answers: "How well does the entire product monetize?" It is the metric you compare against CAC to determine unit economics.

    ARPPU answers: "How much do paying users actually spend?" It tells you whether your pricing is working.

    Tracking both reveals different optimization paths:

    • Low ARPU, high ARPPU = Conversion problem. Focus on paywall optimization
    • High ARPU, low ARPPU = Good conversion but low spend. Consider upselling or higher tiers
    • Low ARPU, low ARPPU = Both conversion and pricing need work

    ARPU Benchmarks by Category (2026)

    App CategoryMonthly ARPUMonthly ARPPU
    Casual gaming$0.15-0.50$15-40
    Social media$2-6 (ad-based)N/A
    Streaming$4-10$8-15
    Health/Fitness$1-4$12-25
    Productivity$2-8$8-20
    Dating$2-6$20-40
    Fintech$3-10$15-35
    E-commerce$1-5$5-15

    These ranges vary significantly by market. US ARPU tends to be 3-5x higher than Southeast Asian markets.

    ARPU by Monetization Model

    Subscription Apps

    Highest and most predictable ARPU. Monthly ARPU approximates the price multiplied by conversion rate. A $9.99/month app with 8% conversion has ARPU of roughly $0.80.

    IAP Apps

    Low ARPU but very high ARPPU. The "whale" dynamic is real: 1-2% of users generate 50-80% of revenue.

    Ad-Supported Apps

    Depends on impressions, fill rate, and eCPM. Typically $0.01-0.05 per DAU per day.

    Hybrid Models

    Combining subscriptions with ads or IAP often produces the highest overall ARPU. Many successful apps in 2026 use this approach.

    Calculating ARPU Correctly

    Time Period Consistency

    Monthly ARPU is most common for subscription apps. Daily ARPU (ARPDAU) is common in gaming.

    New vs Existing Users

    New users almost always have lower ARPU. Mixing them with established paying users dilutes the metric.

    Geographic Segmentation

    ARPU varies dramatically by country. Report by market or at least by tier.

    Increasing ARPU

    Convert More Free Users

    • Optimize paywall placement and messaging
    • Offer limited-time trials that demonstrate premium value
    • Use behavioral triggers to show the paywall at the right moment

    Increase ARPPU

    • Introduce higher-priced tiers with added value
    • Offer annual plans at a discount
    • Add consumable purchases alongside subscriptions

    Reduce Churn Among Payers

    Every paying user who churns directly reduces ARPU. Keeping subscribers is often more impactful than converting new ones.

    ARPU in Unit Economics

    LTV = ARPU x Average Lifespan

    If monthly ARPU is $2 and average lifespan is 8 months, LTV is $16. If CAC is $10, the business works. If CAC is $20, you need to increase ARPU or reduce CAC.

    Related Topics

    • DAU/MAU and Stickiness: Measuring Active Users in Mobile Apps
    • App Pricing Strategies: Psychology, Tiers, and Optimization
    • Digital Markets Act (DMA) and Its Impact on Mobile Apps

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