Calculation and Visualization Examples

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shaownislam628
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Calculation and Visualization Examples

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Each metric has a certain value for different businesses. While the DAU metric helps identify daily customer engagement for entertainment industries, MAU benefits apps like online banking or hotel iranian whatsapp ooking, which are used less frequently. Many businesses also regard the MAU metric as an indication of the quality of their retention rate because it allows them to keep track of their users in the long run.

DAU/MAU ratio
Your product stickiness is measured by DAU to MAU ratio. The DAU/MAU measure enables you to predict user engagement and potential profits in the future. Above all, it also shows you your true product value for your customers by tracking each time they use your app. Your DAU/MAU ratio may be low if few users engage with your app each month. Conversely, increasing user engagement and daily interaction results in higher DAU/MAU ratios.

DAU/MAU ratio
Some applications benefit more from DAU and MAU than others due to their specializations and target audience differences. In most cases, the higher your DAU/MAU score, the better it is for your business. The best score is 100% because it indicates that users actively engage with your app daily.

Now arises the question of how to count daily and monthly active users. Before getting down to your main calculations, do the following steps:

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Identify the requirements for an active user
Choose the time you want to analyze
Gather information, then add the total number of distinct users that fit your active user characteristics each time
How to calculate DAU?
The number of people that access your app each day is referred to as your DAU. You might get this statistic by selecting a single 24-hour period and counting the daily active users. Another option is to calculate the average number of people who use your application each day. All you need to do is sum unique users per day for a month. Once you've done, divide the total by all days in a month.
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