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Average Revenue Per User Formula: How to Calculate Average Revenue, Revenue Per User, and Apply the Average Revenue Formula for Subscription iOS Apps

For subscription iOS apps, Average Revenue Per User (ARPU) is one of the most important metrics to track. It shows how much revenue your app generates from each user or customer within a specific period and helps you guide strategic growth decisions.

In this guide, we explain the average revenue formula, how to calculate ARPU correctly, and how Subtica (Analytics for Subscription iOS Apps) helps automate ARPU calculations across your entire user base.

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What Is Average Revenue Per User (ARPU)?

Average Revenue Per User (ARPU) measures revenue generated per user over a chosen time period.

In simple terms, ARPU tells you how much revenue your subscription app generates from the total number of users during a given period — monthly, daily, or annually.

For subscription apps, ARPU is directly tied to:

• Subscription pricing strategies
• Retention and churn rate
• Upsells and cross-sells
• Overall revenue generation

Average Revenue Definition in Subscription Analytics

In subscription analytics, average revenue refers to the total revenue generated divided by the number of users in a specified time frame.

It helps you assess:

• How effective the business model is
• Whether you’re losing money on acquisition
• If ARPU is increasing over time
• Whether your pricing aligns with customer value

ARPU is especially relevant to your business model if you operate with recurring subscription revenue rather than one-time product sales or goods sold.

Revenue vs Average Revenue vs Revenue Per User

Understanding the differences:

• Revenue – the total revenue generated from your product or service.
• Average Revenue – total revenue divided by the total number of units or customers.
• Revenue Per User (ARPU) – total revenue by the number of users in a specific period.

While revenue shows how much income generated overall, ARPU shows how much revenue each user generates per unit of time.

Why Average Revenue Per User Is Critical for Subscription Revenue Growth

ARPU is a core metric to track because it connects monetization, retention, and customer acquisition efforts.

For subscription iOS apps, ARPU helps:

• Determine the total value of your entire user base
• Guide strategic pricing decisions
• Identify trends over time
• Scale your business sustainably

If ARPU is increasing while churn remains stable, your revenue generation model is strengthening.

How Revenue Per User Impacts Subscription Monetization

Revenue per user reflects how effective the business is at converting and monetizing users.

A company might focus on:

• Aligning pricing strategies
• Creating personalised offers
• Upsell and cross-sell tactics
• Incorporating gamification elements
• Onboarding and education flows

These improvements directly help improve ARPU and enhance customer satisfaction.

Average Revenue Per User and Churn Rate Relationship

ARPU and churn are closely connected.

If churn rises, your total revenue generated may decline even if acquisition is strong.

Analysing ARPU together with churn helps you:

• Identify weak segments
• Improve user behaviour patterns
• Forecast potential future revenue
• Guide product development decisions

Using Average Revenue Metrics to Improve Retention

Monitoring ARPU monthly or daily helps you account for fluctuations and seasonality.

Segmenting ARPU based on:

• Paying customers
• Daily active users
• Monthly active users
• Acquisition channels

… enables deeper customer segmentation and more effective business decisions.

Average Revenue Formula: How to Calculate Average Revenue

The average revenue formula is used to determine how much revenue a company generates on average from each unit sold or customer within a specific period. It helps businesses evaluate revenue generation efficiency and understand how effective their pricing strategies are.

The Standard Average Revenue Formula

Average Revenue = Total Revenue ÷ Total Number of Units Sold

In subscription apps, we adjust this formula to measure revenue per user instead of per unit.

How to Calculate Average Revenue Per User (ARPU)

ARPU Formula:

ARPU = Total Revenue ÷ Number of Users

To calculate ARPU correctly:

1. Determine total revenue
2. Define active user criteria
3. Divide the total revenue by the number of active users

How to Calculate Average Revenue Per Unit

In some businesses in sectors selling goods sold or hybrid subscriptions, revenue per unit is calculated as:

Total revenue generated ÷ Units sold

But in subscription apps, ARPU is more relevant than revenue generated per unit.

Monthly vs Annual Average Revenue Per User Calculation

You can calculate ARPU:

• Monthly ARPU
• Annual ARPU
• Daily ARPU

There’s no universal approach — it depends on your business model and chosen time period.

For subscription apps, monthly ARPU is typically most relevant.

Step-by-Step: Calculate Average Revenue Per User for Subscription iOS Apps

To accurately calculate ARPU for a subscription iOS app, you need a structured approach. The calculation itself is simple, but the accuracy depends on how correctly you define revenue sources, active users, and the selected time frame.

Step 1: Define the Revenue Period

Choose a specific period — monthly, quarterly, or annual.

Your specified time frame must align with subscription billing cycles.

Step 2: Identify Total Subscription Revenue

Determine total revenue generated during that given period.

This includes:

• New subscriptions
• Renewals
• Upsells

Be careful not to mix gross and net revenue.

Step 3: Count Active Users

Define active user carefully.

The definition of an “active user” matters. There’s no universal definition — you must define active user based on what’s relevant to your business model.

For subscription apps, active users may mean:

• Paying customers
• Monthly active users
• Daily active users

Consistency is critical for accurate ARPU calculations.

Step 4: Apply the Average Revenue Per User Formula

Divide the total revenue by the number of active users:

ARPU = Total Revenue ÷ Number of Users

This simple formula helps determine how much revenue each user generates in the selected time period.

Average Revenue Per User vs ARPA vs Revenue Per Unit

While these metrics sound similar, they serve different purposes depending on your business model, pricing structure, and customer segmentation strategy. Understanding when to use each one helps guide strategic monetization and reporting decisions.

When to Use ARPU vs ARPA

• ARPU – Revenue divided by total number of users
• ARPA – Revenue divided by paying accounts (often used in B2B SaaS)

If your subscription iOS app has a large customer base with freemium tiers, ARPU is more appropriate.

Average Revenue Per Unit in Subscription Models

Revenue per unit is useful if your company might sell add-ons or consumables.

But for recurring subscription revenue, ARPU is the primary metric.

ARPU vs Customer Lifetime Value (LTV)

ARPU measures short-term revenue per user.

LTV estimates total revenue generated over the customer lifetime.

ARPU helps determine total revenue in a chosen time period. LTV helps predict potential future revenue.

Considering ARPU together with LTV provides deeper insights into customer value.

Key Metrics Related to Average Revenue Per User

To properly calculate ARPU and interpret the results, you need to understand the supporting metrics behind it. These indicators help you assess revenue generation, user engagement, and long-term customer value — especially in subscription iOS apps.

Revenue, Active Users, and Revenue Per User Comparison Table

ARPU Benchmarks for Subscription iOS Apps

ARPU benchmarks vary by type of company and industry.

Factors affecting sustainable ARPU:

• Pricing strategies
• Customer acquisition efforts
• Churn rate
• Customer relationship management
• Product or service positioning

Monitor ARPU trends over time rather than relying on a single benchmark.

How Subtica Helps You Calculate Average Revenue Per User Automatically

Subtica is purpose-built Analytics for Subscription iOS Apps.

Our tools help you calculate ARPU without manual spreadsheets by integrating:

• App Analytics
• Subscription Analytics
• Revenue Analytics
• ARPU

Real-Time Revenue Per User Dashboards

Subtica’s revenue dashboards automatically:

• Determine total revenue
• Track number of users
• Monitor ARPU monthly or daily
• Account for fluctuations and seasonality

Our tracking systems and data pipelines are built for subscription apps and respect data privacy and regulations.

Advanced Cohort ARPU Analysis

With Cohort Analysis, you can:

• Analyse ARPU based on acquisition channel
• Compare paying customers by cohort
• Track ARPU is increasing across segments
• Identify user behaviour patterns

This level of customer segmentation helps guide product development and improving revenue generation.

Subscription Revenue Forecasting Based on ARPU

With Revenue Forecasting, Subtica helps predict:

• Potential future revenue
• Income generated per segment
• Impact of churn on total revenue

These insights help you scale your business confidently.

Common Mistakes When Calculating Average Revenue Per User

Incorrect Revenue Attribution

If data for ARPU calculations might be incomplete due to tracking systems issues, results become unreliable.

Miscounting Active Users

Failing to define active user consistently leads to inflated or misleading ARPU.

Mixing Gross and Net Revenue

Always determine total revenue consistently across your specified time frame.

Best Practices to Optimize Average Revenue Per User

Improving ARPU requires a combination of smart pricing strategies, strong retention tactics, and deep user segmentation. The goal is not just to increase revenue, but to build a sustainable ARPU that supports long-term growth and scalable revenue generation.

Pricing Optimization

Align your pricing with customer value.
Test different tiers and create personalised offers.

Upsell and Cross-Sell Strategies

Encourage higher-tier upgrades.
Use proactive customer support and a customer feedback loop.

Retention and Churn Reduction Tactics

Improve onboarding and education.
Incorporate gamification elements.
Build social media groups to strengthen engagement.

Segmentation by Revenue Per User

Use user segmentation to identify:

• High-ARPU cohorts
• Low-ARPU segments
• Revenue generation gaps

This helps guide strategic business decisions.