![]() We can also divide them by countries, devices, operating systems, or by a custom event (which means that the audience is divided into users who performed or did not perform a certain action). Every day / 4-6 times a week / 1-2 times a week / once a month and less.made only 1 payment / made repeated payments.Here are some options of active audience segmentation. Thanks to it, you can quickly understand which segment of users caused the indicator to change Segmentation helps to simplify the analysis of changes in the number of active users. The average CCU reflects the scale of a project well, and the PCCU is very important when planning server load.Īctive users dynamics can change not only within a day, but it can also gradually rise or fall month by month. Most often they are called 'users online', but we can also find such abbreviations as CCU (concurrent users) - users who are in an app at a certain moment, and PCCU (peak concurrent users) - the maximum number of users which are simultaneously inside the app. To keep it under control, we can group users not by days, but by hours or even 10-minute intervals.īy the way, active users who are currently inside the app represent a separate metric that has its own name. If something goes wrong inside the app or on a server and users aren’t able to use a product, it will immediately affect this metric. In addition, it is more reasonable to track the active users metric in real time. Read more: Game Analytics Metrics Glossary ![]() And the way they open the app indicates its stability, quality, and scale. Only 5 were represented in our example, and in a real project, there will be thousands, hundreds of thousands, millions of users who open the app daily. In the same way, we can count Active Users for a month, for half a year, and for other time intervals. For example, if we take a period from day 3 to day 9, WAU will be equal to 4. in the second week (from day 8 to day 14) this indicator is already 3 - the first and second users did not have any sessions. ![]()
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