Using App Revenue

Revenue Analytics offers a clear, comparable view of estimated gross revenue for the world’s top apps by country based on earnings from app store downloads, in-app purchases, and subscriptions, excluding ad. It helps you benchmark performance and understand how monetization strategies impact growth.

Try Out Revenue!

The Value of App Revenue

This report allows you to track any payment going through the Apple App Store or Google Play Store. 

• Monitor app store paid downloads, such as for gaming apps like Minecraft
• Analyze in-app subscriptions for apps such as Duolingo or Spotify
• Research in-app purchases, like when a gamer buys something in a gaming app

Report Location and Features

The report can be found in the lefthand menu of the App Intelligence platform. Once loaded up, input the apps you want to analyze, and then find some insights! 

There are two modules you'll be presented with.

The Revenue Overview on the top half provides the Monthly Average Revenue, the Overall Revenue, and the Monthly ARPU (Monthly Revenue Per User) for the selected apps. 

The bottom half of the report provides the Revenue Over Time. Select the time frame in the top right corner to get a trend of the selected apps for their Monthly Revenue or their Monthly ARPU.

Report Metrics 

Each metric provides unique value to your revenue analysis. 

Monthly Avg. Revenue - The average revenue generated per month on paid apps and in-app subscriptions (excluding advertising revenue and revenue from physical goods and services). This helps you to...

• Set monthly goals, benchmarks, and pace out your planning
• Forecast models when launching in new markets
• Analyze competitor revenue spikes after a big marketing campaign or product launch 

Overall Revenue – The sum of all revenue generated by the app over a given period. This includes app store paid downloads and in-app subscriptions (excluding advertising revenue and other monetization streams). This allows you to...

• Evaluate overall business performance
• Compare revenue against the competition across a monthly trend
• Budgeting and forecasting at the company or BU level

Monthly ARPU (Monthly Revenue Per User) - The average revenue generated per active user over a defined time (e.g., monthly). It focuses on monetization efficiency per user. This will help you to...

• Compare monetization across user cohorts, countries, or channels
• Measure LTV (Lifetime Value) when multiplied by retention
• Optimize pricing, upsell strategy, and premium feature adoption
• Benchmarking business health over time or vs competitors
    

FAQ 

1. How much does this feature cost? The feature is a paid add-on in App Intelligence. Please contact your account manager for more details.
2. Does this include every transaction in and around an app? No. This data does not include the following payment or revenue information:
   • In-app advertising revenue (e.g. Youtube)
   • In-app revenue from physical goods and services (aka SKU-level revenue)
   • Revenue from outside of App Store of Google Play
   • Apps with revenue less than $5K a month
3. Can I analyze revenue by country and platform (iOS/Android)? Revenue data is available by country, but only for apps that are listed in the top charts. At this time, the data is not broken down by platform (iOS vs. Android). The feature reflects the aggregated revenue performance of top-ranked apps within each country.
4. Can I see the split between paid downloads and in-app purchases? Currently, revenue data is reported as a single, combined metric that includes app store paid downloads, in-app purchases, and in-app subscriptions. However, this enhancement is included in the upcoming product roadmap.
5. Can I analyze revenue for any app in the store? Revenue Analytics is available only for top charting apps: Top 100 apps per category, based on app store rankings, including both free and paid apps.
6. How far back can I track revenue data? You can access up to 12 months of historical data, depending on the app and market.
7. How is the revenue data collected and estimated? Revenue analytics leverages a combination of panel-based behavioral data, performance modeling for top-ranked apps, and proprietary indexing methodologies. This approach enables us to estimate gross revenue trends with consistent coverage and benchmarking across categories and geographies.