![]() ![]() Here’s a simple SQL query to calculate daily active users (DAU) in MySQL for preceding day Let’s say you have stored user information in the following table users(id, date_joined) You will mainly need 2 columns for this purpose – user id and timestamp(when user account was created). ![]() How to Calculate Daily Active Users (DAU) in MySQL Here’s how to calculate daily active users (DAU) in MySQL. It helps you understand how many people are actually using your product/service everyday. In the next article, you’ll learn how to use SQL to get audience monetization data.Daily Active Users (DAU) is a useful KPI for every business. We have talked about ways to calculate user activity metrics. The date_trunc function will round the date to a week, the to_char function will make the data look nice. Now add to_char (date_trunc ('week', eventtime), 'YYYY Mon dd') to the query select. If the difference is more than 7 days, then the data on such a session will be included in our selection. Thus, for each row in the table, the difference between the session event eventtime and the date the application was installed by the user created is calculated. Add the condition (eventtime-created)> interval '7 day'. Now you need to filter the result received from the table with sessions. Where eventtime >= date_trunc('month', current_date ) - interval '2 month'Īnd eventtime = date_trunc('week', current_date ) - interval '10 week' Select to_char(eventtime, ' YYYY - mm ' ) as month You can leave data only for full months by adding this function to where. It is much better to use floating dates depending on the current date or the time of the event.ĭate_trunc ('month', current_date) rounds current_date to a month, leaving ‘ 00:00:00.0’ as a result (if the request was made in June 2021). We don’t recommend using such conditions in widgets and dashboards. Where eventtime >=current_date - interval '3 month'Īnd eventtime =current_date - interval '3 month'Īnd eventtime = ut( '' ) and = ut ('') is set directly. Select to_char(eventtime, ' Month - dd ' ) as day Here you can add any delimiters within the date, write the year in full 'YYYY' or only the last two digits 'YY', the month in lower case in abbreviated format 'mon', as a numeric designation 'mm' or the full 'Month'. ![]() ![]() Let’s convert the execution time of each event (eventtime) from this interval into a string using the to_char (eventtime, 'Month - dd') function. The command where eventtime> = current_date - interval '3 month' determines the time interval from which we’ll receive data. iOS app (project ID p102968) using the sessions table.įrom ssions is the path to the table we’ll be working with. We’ll try to calculate DAU for 3 in a row. In devtodev, all app metrics are calculated automatically, also a huge variety of filters can be applied to them without using SQL. Log in to your devtodev account and find the SQL Report in the demo project. Let's use SQL to calculate the number of unique users in the last three months. MAU (Monthly Active Users) – the number of unique users per month.WAU (Weekly Active Users) – the number of unique users per week.DAU (Daily Active Users) – the number of unique users per day.To assess the active audience of an app and analyze their requests, you will need metrics such as DAU, WAU, MAU. However, these user segments are considered active because they had at least one session in the app at a certain time. The first time users install the app, some of them will continue to use it regularly or from time to time, and some will quickly lose interest. Let’s say you have already released your project. Now let's calculate the user activity metrics. In the previous article, we talked about what SQL is, what kind of specialists need it, and also tried the basic commands using a simple query as an example. ![]()
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