Active Users denotes individuals who interact with an online platform or application within a given timeframe. This concept is fundamental in diverse sectors such as business, academia, and research. In the business domain, active user metrics help forecast growth trajectories, client[1] involvement, and prospective revenue sources. Within academia and research, analyzing active user behavior aids in comprehending online behavioral trends. Ethical aspects surrounding active users highlight the significance of informed consent, data protection, and confidentiality in the digital sphere. Defining and precisely quantifying active users present technical hurdles due to diverse practices among various firms. Furthermore, data regarding active users is vital in predictive analytics and policy deliberations about technology usage and online security.
Utilisateurs actifs is a software performance metric that is commonly used to measure the level of engagement for a particular logiciel product or object, by quantifying the number of active interactions from utilisateurs or visitors within a relevant range of time (daily, weekly and monthly).
| Utilisateurs actifs | |
|---|---|
 Number of new and active Wikipedia users in Indonesia between September 2010 and March 2012 | |
| General information | |
| Unit system | Product metric |
| Unit of | Media consumption |
| Symbol | DAU, WAU, MAU |
The metric has many uses in software management such as in social networking services, online gamesou mobile apps, in web analytics such as in web apps, in commerce such as in online banking et en academia, such as in user behavior analytics and predictive analytics. Although having extensive uses in digital behavioural learning, prediction and reporting, it also has impacts on the privacy and security, and ethical factors should be considered thoroughly. It measures how many users visit or interact with the product or service over a given interval or period. However, there is no standard definition of this term, so comparison of the reporting between different providers of this metric is problematic. Also, most providers have the interest to show this number as high as possible, therefore defining even the most minimal interaction as "active". Still the number is a relevant metric to evaluate development of user interaction of a given provider.
This metric is commonly assessed per month as monthly active users (MAU), per week as weekly active users (WAU), per day as daily active users (DAU) et peak concurrent users (PCU).
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