Monthly Active Users (MAU) Calculator

Calculate your product’s Monthly Active Users with precision. Enter your metrics below to get started.

Total Registered Users

Daily Active Users (DAU)

Weekly Active Users (WAU)

Monthly Churn Rate (%)

Monthly Growth Rate (%)

Engagement Level

Your MAU Results

Monthly Active Users based on your inputs

Stickiness Ratio (DAU/MAU): 0%

Projected 3-Month MAU: 0

The Complete Guide to Calculating Monthly Active Users (MAU)

Understanding and accurately calculating MAU is critical for product managers, marketers, and investors to gauge product health and growth potential.

What Are Monthly Active Users (MAU)?

Monthly Active Users (MAU) represents the number of unique users who engage with a product or service within a 30-day period. This metric is particularly valuable for:

Assessing product-market fit
Tracking growth trends over time
Comparing with competitors in your industry
Inform investor presentations and valuation
Guiding product development priorities

The definition of “active” varies by product. For a social media app, it might mean logging in and performing at least one action. For a SaaS product, it could mean using a core feature. The key is consistency in your definition.

Why MAU Matters More Than Total Users

While total registered users is an important vanity metric, MAU provides much more actionable insights:

Metric	What It Measures	Business Value
Total Registered Users	All accounts ever created	Shows market penetration potential
Monthly Active Users	Users engaging in last 30 days	Indicates current product health and engagement
DAU/MAU Ratio	Percentage of monthly users active daily	Measures product stickiness and habit formation
MAU Growth Rate	Month-over-month percentage increase	Shows product traction and scalability

According to a Facebook SEC filing, they define MAU as “a registered and logged-in Facebook user who visited Facebook through our website or a mobile device, or used our Messenger app, in the last 30 days as of the date of measurement.”

How to Calculate MAU: Step-by-Step

Basic MAU Calculation

The fundamental formula for MAU is:

MAU = Number of unique users who performed [key action] in last 30 days

Where [key action] should be:

Meaningful to your business (not just logging in)
Consistent over time for comparison
Aligned with your product’s core value proposition

Advanced MAU Calculation Methods

For more sophisticated analysis, consider these approaches:

Method	Formula	When to Use	Example
Rolling 30-Day	Count unique users in any 30-day window	Standard for most consumer apps	User active on days 1, 15, 30 = 1 MAU
Calendar Month	Count unique users in fixed calendar month	Financial reporting alignment	January 1-31 activity only
Trailing 28-Day	Count unique users in last 28 days	Smoother month-to-month comparisons	Always compares equal 4-week periods
Session-Based	Users with ≥X sessions in 30 days	High-engagement products	Users with ≥3 sessions = active

MAU Calculation Example

Let’s walk through a practical example for a fitness app:

Define “active”: Completing at least one workout in the app
Time period: Rolling 30-day window
Data collection:
- User A: Workouts on Jan 1, Jan 5, Jan 10 → 1 MAU
- User B: Workout on Jan 15 only → 1 MAU
- User C: No workouts in January → 0 MAU
- User D: Workouts on Dec 30 and Jan 2 → 1 MAU (rolling window)
Total MAU: 3 (Users A, B, D)

Note how User D is counted because their January 2 workout falls within the 30-day window from December 30 backward, even though their December 30 workout doesn’t count toward January’s MAU in a calendar month method.

MAU Benchmarks by Industry

While every product is unique, these benchmarks from Deloitte’s Digital Media Trends survey provide helpful context:

Industry	Median DAU/MAU Ratio	Top Quartile MAU Growth	Example Companies
Social Media	50-60%	15-20% YoY	Facebook, Instagram, TikTok
Messaging Apps	60-70%	10-15% YoY	WhatsApp, Messenger, WeChat
Gaming	30-40%	20-30% YoY	Roblox, Fortnite, Candy Crush
SaaS (B2B)	10-20%	5-10% YoY	Slack, Zoom, Notion
E-commerce	5-15%	8-12% YoY	Amazon, Shopify, Etsy
Media/Entertainment	20-30%	12-18% YoY	Netflix, Spotify, YouTube

According to research from the Harvard Business Review, products with DAU/MAU ratios above 20% typically see significantly higher retention rates and lower customer acquisition costs.

Improving Your MAU

If your MAU numbers are below industry benchmarks, consider these strategies:

Onboarding Optimization:
- Reduce steps to first “aha moment”
- Implement progressive profiling
- Add interactive tutorials
Engagement Features:
- Personalized content recommendations
- Gamification elements (badges, streaks)
- Community features (forums, user groups)
Retention Tactics:
- Win-back campaigns for lapsed users
- Feature announcement emails
- Loyalty programs
Performance Improvements:
- Reduce app load times
- Fix critical bugs promptly
- Optimize for low-bandwidth conditions

Common MAU Calculation Mistakes to Avoid

Inconsistent “Active” Definition:
Changing what constitutes an “active” user between reporting periods makes comparisons meaningless. Stick to one definition for at least 12 months before reconsidering.
Double-Counting Users:
Ensure your analytics system properly handles:
- Users with multiple devices
- Shared accounts (family plans)
- Incognito/private browsing sessions
Ignoring Seasonality:
Many products experience natural fluctuations. Always compare to the same month in previous years rather than just month-over-month.
Overlooking Data Quality:
Common data issues that skew MAU:
- Bot traffic not filtered out
- Test accounts included
- Time zone inconsistencies
- Missing data from some platforms
Confusing MAU with WAU or DAU:
These metrics serve different purposes:
- DAU (Daily Active Users) – Measures daily engagement
- WAU (Weekly Active Users) – Good middle ground
- MAU (Monthly Active Users) – Broadest reach metric

MAU vs. Other Key Metrics

Understand how MAU relates to other important metrics:

Metric	Relationship to MAU	Ideal Ratio/Relationship	What It Indicates
DAU	DAU/MAU = Stickiness Ratio	20%+ for consumer apps 10%+ for B2B	How often users return
Retention Rate	% of MAU from previous month	40%+ month 1 20%+ month 3	Product’s ability to retain users
Session Length	Avg. session time per MAU	Varies by industry	Depth of engagement
Revenue per MAU	Total revenue / MAU	Increasing over time	Monetization efficiency
CAC Payback	CAC / (Revenue per MAU)	<12 months	Unit economics health

Advanced MAU Analysis Techniques

Cohort Analysis

Instead of looking at MAU in aggregate, break users into cohorts based on:

Sign-up month
Acquisition channel
Demographic attributes
Initial engagement level

Example cohort table:

Cohort (Sign-up Month)	Month 1 MAU	Month 3 MAU	Month 6 MAU	Retention Rate
January 2023	10,000	6,500	4,200	42%
February 2023	12,000	7,800	5,000	42%
March 2023 (New Onboarding)	15,000	10,500	7,800	52%

This reveals that the March 2023 cohort, which experienced a new onboarding flow, has 10 percentage points higher retention at 6 months.

MAU Segmentation

Break down your MAU by:

Demographics: Age, gender, location
Behavioral:
- Power users (top 10%)
- Casual users (middle 60%)
- At-risk users (bottom 30%)
Acquisition Source: Organic, paid, referral
Device Type: Mobile vs. desktop
Feature Usage: Which features they use

Predictive MAU Modeling

Use historical data to forecast future MAU with:

            Projected MAU = (Current MAU × (1 - Churn Rate)) + New Users

Where:

Churn Rate = 1 – Retention Rate
New Users = Projected signups × Activation Rate

Example with 100,000 current MAU:

            Month 1: 100,000 × (1 - 0.05) + 15,000 = 110,000
            Month 2: 110,000 × (1 - 0.05) + 16,500 = 122,000
            Month 3: 122,000 × (1 - 0.05) + 18,300 = 135,700

MAU Calculation Tools and Resources

Analytics Platforms

Google Analytics: Free option with event tracking
Mixpanel: Advanced cohort analysis
Amplitude: Behavioral analytics focus
Heap: Automatic event capture
Snowflake: For custom SQL analysis

Calculation Templates

Download these free templates:

MAU Tracking Spreadsheet (Google Sheets)
Cohort Analysis Template (Excel)
MAU Forecasting Model (Airtable)

How To Calculate Mau