Monthly Active User (MAU)

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Definition of 'Monthly Active User (MAU)'

Monthly Active User (MAU) is a metric used to measure the number of unique users who access a website or app during a given month. It is a key performance indicator (KPI) for businesses that rely on online traffic, as it can help them to track their growth and engagement.

There are a few different ways to calculate MAU. One common method is to count the number of unique IP addresses that access a website or app during a given month. Another method is to count the number of unique cookies that are associated with a website or app during a given month.

MAU is a valuable metric for businesses because it can help them to understand how many people are using their products or services. This information can be used to make decisions about marketing, product development, and pricing.

For example, a business that wants to increase its sales might target its marketing efforts towards users who have not been active in the past month. A business that is developing a new product might want to get feedback from users who have been active in the past month. A business that is considering raising its prices might want to see how the change would affect its MAU.

There are a few things to keep in mind when using MAU. First, it is important to understand that MAU is a vanity metric. It does not tell you anything about how engaged your users are or how much they are spending. Second, MAU can be affected by seasonality. For example, a website or app might have more active users during the holidays than during the summer. Third, MAU can be affected by bots and other fraudulent activity. It is important to have a process in place to identify and remove fraudulent activity from your MAU data.

Despite these limitations, MAU can be a valuable metric for businesses that want to track their growth and engagement. It is important to use MAU in conjunction with other metrics, such as average session duration and page views, to get a more complete picture of your users' behavior.

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