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MAU

MAU, or Monthly Active Users, refers to the number of unique users who engage with a product or service within a given month, serving as a key metric for assessing user engagement and product growth.
Also known as:Active Users, User Engagement Metric, Monthly Users, Unique Monthly Users

Definition

Monthly Active Users (MAU) is a critical metric used to gauge the engagement and growth of a digital product or service. It counts the unique users who interact with an application, website, or platform at least once within a calendar month. This metric is invaluable for businesses and UX professionals as it provides insights into user retention, overall product health, and the effectiveness of marketing strategies.

MAU is particularly important in the context of subscription-based models, social media platforms, and mobile applications, where understanding user behavior directly correlates with revenue and user satisfaction. By tracking MAU, companies can identify trends in user engagement, assess the impact of feature releases, and make informed decisions regarding product enhancements.

Furthermore, MAU is often used in conjunction with other metrics such as Daily Active Users (DAU) and user retention rates to provide a more comprehensive view of user engagement. For example, comparing MAU to DAU can highlight how frequently users return to the platform and help identify patterns in user behavior.

Expanded Definition

The concept of Monthly Active Users has evolved with the rise of digital products and services, becoming a benchmark for measuring user engagement. Initially popularized by social media platforms, MAU has extended its relevance to various industries, including e-commerce, gaming, and SaaS solutions. Understanding MAU allows businesses to segment their user base, analyze behavior, and tailor experiences to meet user needs more effectively.

Historically, businesses have relied on MAU to attract investors and gauge market viability. A growing MAU indicates a healthy product ecosystem, while stagnation or decline can signal the need for strategic pivots. Therefore, maintaining a robust MAU is crucial for sustained growth and profitability.

Key Activities

Tracking user logins and interactions to calculate MAU.

Analyzing trends in MAU over time to identify growth opportunities.

Segmenting MAU data to understand the behavior of different user groups.

Implementing strategies to improve user retention and engagement.

Using MAU in conjunction with other metrics to assess overall product performance.

Benefits

Provides a clear measure of user engagement and retention.

Helps identify trends and changes in user behavior over time.

Supports strategic decision-making related to product development and marketing.

Facilitates investor communication and funding opportunities.

Enables segmentation of users for targeted marketing strategies.

Example

For instance, a social media platform may report an MAU of 10 million users for a particular month. By analyzing this data, the platform can assess its user engagement strategies, identify which features are popular, and determine if marketing campaigns are effectively attracting new users. If the MAU increases by 20% after a new feature launch, it indicates that the feature successfully resonated with users, validating the product development decisions.

Use Cases

A mobile app company analyzing MAU to measure the success of a new feature rollout.

A SaaS business evaluating the effectiveness of a recent marketing campaign aimed at increasing user sign-ups.

A gaming platform using MAU to determine user engagement levels and plan future content updates.

A social networking site assessing MAU to attract potential investors and demonstrate growth potential.

An e-commerce website evaluating user retention strategies based on MAU trends.

Challenges & Limitations

MAU does not account for user activity depth; a user may be counted as active without meaningful engagement.

Fluctuations in MAU can occur due to seasonality or marketing campaigns, making long-term trends difficult to assess.

Different definitions of 'active' across platforms can lead to inconsistent comparisons.

Over-reliance on MAU can distract from other important metrics like customer satisfaction and lifetime value.

Tools & Methods

Google Analytics for tracking user interactions and calculating MAU.

Mixpanel for advanced analytics and user segmentation.

Amplitude for cohort analysis and retention tracking.

Tableau for visualizing MAU trends and insights.

Heap Analytics for automatic event tracking to assess user behavior.

How to Cite "MAU" - APA, MLA, and Chicago Citation Formats

UX Glossary. (2025, February 13, 2026). MAU. UX Glossary. https://www.uxglossary.com/glossary/mau

Note: Access date is automatically set to today. Update if needed when using the citation.