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How to Use ARPU to Boost Revenue in Subscription Apps
11 min read

For subscription apps and SaaS products, understanding how much revenue each user generates is mission-critical. Average Revenue Per User (ARPU) isn’t just another dashboard metric – it’s a direct signal of how effectively your product turns engagement into revenue.
ARPU helps you see beyond topline revenue. It shows how pricing, subscription structure, and user behavior come together to drive sustainable growth. When analyzed alongside retention and lifetime value (LTV), ARPU reveals which plans fuel long-term revenue – and where monetization can be improved.
What Is ARPU and Why It Matters for Subscription Apps?
ARPU measures the average revenue generated by a user over a specific period. For subscription apps, it goes beyond a simple financial figure – it reflects the effectiveness of your product, pricing, and user experience in driving sustainable revenue.
At its core, ARPU answers a critical question: are you generating enough from each user to build a profitable business? Rapid user growth alone doesn’t guarantee success. Even with high installs, low revenue per user can limit profitability. ARPU links user growth with monetization quality, showing the real value of your active base.
For subscription-based products, ARPU is particularly important because revenue is recurring. Adjustments to pricing, plan structure, discounts, or upgrades can directly influence ARPU – often more than additional user acquisition. Even a small increase across your active users can have a significant impact on total revenue without extra marketing spend.
In short, ARPU is more than a monetization metric – it’s a key indicator of your subscription model’s health, showing whether your app can scale efficiently, retain paying users, and generate predictable revenue over time.
How to Calculate ARPU?
Calculating ARPU is straightforward, but interpreting it correctly is where real value begins.
The basic formula looks like this:

The time period matters. ARPU is most commonly calculated on a monthly or yearly basis, especially for subscription apps.
Example
If your app generates $50,000 in subscription revenue in a month and has 1,000 active users during that period, your monthly ARPU is $50.
A critical step in calculating ARPU is defining who counts as an active user. In its classic definition, ARPU includes all active users, both paying and non-paying. This makes ARPU a powerful indicator of overall monetization efficiency, showing how well your app converts its total user base into revenue.
Including only paying users in the calculation would result in ARPPU, a related but distinct metric that focuses on monetization depth rather than overall efficiency. Mixing these definitions can lead to misleading conclusions and hide important monetization gaps.
How to Calculate ARPU with Subtica for Subscription Apps?
Subtica provides detailed reports that allow you to accurately calculate ARPU for your app. ARPU represents the average revenue generated by a user who activates a subscription and is calculated as:

Where:
- Proceeds – net revenue for the period (total payments minus taxes and refunds)
- Activations – number of users who activated a subscription during the selected period
This subscription-based ARPU approach is especially useful for evaluating pricing performance, plan structure, and revenue quality within subscription apps.
1. Cohort Period Tab
The Cohort Period tab allows you to analyze ARPU by user cohorts – groups of users who activated subscriptions on the same day, week, or month. You can select Daily, Weekly, or Monthly reports. ARPU is calculated individually for each cohort. If a cohort includes multiple subscriptions, Subtica automatically calculates the total ARPU for the row.
Example:
- December 26, yearly subscription: Proceeds = $1,000, Activations = 100, ARPU = 10
- December 26, monthly subscription: Proceeds = $500, Activations = 100, ARPU = 5
- Total cohort ARPU: (1,000 + 500) / (100 + 100) = 7.5
ARPU can also be segmented by plans or regions, allowing deeper monetization insights.
2. Charts and Visualization
The Cohort Period, Subscriptions, and Countries tabs allow you to visualize ARPU for selected cohorts, subscriptions, or regions. Charts help identify trends and highlight which cohorts or subscription types generate the most revenue.
3. Downloading Data
The Download CSV option exports all table data according to selected filters and time periods. This enables offline analysis or integration with other reporting tools. ARPU in exported files is calculated using the same formulas as in the Subtica interface, ensuring consistency across reports.
With Subtica, you can calculate ARPU by cohorts, subscriptions, and regions – and turn raw numbers into clear, actionable revenue insights without manual spreadsheets or complex setup.
What Is a Good ARPU for Subscription Apps?
There’s no one-size-fits-all answer to what constitutes a “good” ARPU – it depends on your app’s niche, pricing model, and growth stage. A fitness app with weekly subscriptions may see a lower ARPU than a productivity tool with annual plans, yet both can be profitable if retention is strong.
The key is context: compare ARPU against your customer acquisition cost (CAC), retention trends, and overall lifetime value (LTV). A “good” ARPU is one that allows your app to cover costs, generate profit, and scale sustainably.
Tracking ARPU across cohorts, subscription plans, and regions can reveal where your app is monetizing effectively and where adjustments are needed. Even small improvements in ARPU – for example, nudging more users toward annual plans – can have a major impact on total revenue without increasing marketing spend.
In short, a strong ARPU isn’t just a number; it’s a reflection of healthy monetization, smart pricing, and engaged, loyal users.
Practical Ways to Increase Revenue Using ARPU
For subscription apps and SaaS products, ARPU isn’t just a number – it’s a growth lever. Once you understand your ARPU, you can take concrete steps to increase it across your user base, optimize pricing, and make your app more profitable. Here’s how:
1. Optimize Your Subscription Plans
Break down ARPU by plan – weekly, monthly, annual, or premium tiers. See which plans generate the most revenue per user and which plans are underperforming. Often, nudging users toward higher-value plans (e.g., annual subscriptions) can boost ARPU without acquiring new users.
2. Tailor Promotions and Offers
Use ARPU insights to design discounts, bundles, or trials that encourage users to upgrade or commit longer. For example, offering a 20% discount on annual subscriptions for users currently on monthly plans can shift the revenue mix toward higher ARPU cohorts.
3. Segment and Personalize
Analyze ARPU by cohort, region, acquisition channel, or user behavior. Personalized messages and in-app prompts based on user value can increase upgrades and retention. For instance, a power user may be shown premium content or advanced features that naturally justify a higher subscription plan.
4. Combine ARPU with Retention and LTV
ARPU alone doesn’t tell the whole story. Pair it with retention and lifetime value to identify whether higher-paying users are sticking around. A high ARPU with high churn may indicate onboarding or value delivery issues – a problem to fix before scaling.
5. Test, Measure, Repeat
Experimentation is key. Use A/B tests on pricing, product bundles, paywall design, or promotional offers to see what actually increases ARPU. Track the results over time and adjust your strategies based on real data.
Conclusion
Average Revenue Per User is more than a financial metric – it’s a strategic tool for subscription apps and SaaS products. By measuring ARPU accurately and analyzing it alongside retention, churn, and lifetime value, you can gain deep insights into user behavior, pricing effectiveness, and revenue potential.
Take action today: monitor your ARPU regularly, experiment with strategies to boost it, and leverage Subtica’s insights to turn every user into a higher-value subscriber. Your revenue growth starts with understanding the true value of each user.
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