Overview

Yesterday's Overview

Check the key user's indicators from yesterday that reflect the user activity of the Mini Game yesterday and the growth rates comparing with the indicators from a day ago, a week ago, and a month ago.

Trend Overview

View the trends of key indicators, including the access trends in recent 30 days (active users, newly registered users, paid user fees, number of first-time paid user) and the revenue trends in recent 30 days(see [[Explanation of Indicators]] (./README.md#Explanation of Indicators)).

Real-time Statistics

View the access data and access trends of real-time user. To better view data trends, the time granularity is 5 minutes.

Access Analysis

Access Trend

View the user access trends of the game, including cumulative registered users, number of active users, number of visits, number of newly registered users, duration of stay per-person, and number of users analyzed (see [[Explanation of Indicators]] (./README.md#Explanation of Indicators).

You can select the time granularity and view it by day, week, and month. When the time granularity is week or month, the number of times is the cumulative summary value, and the number of people is de-duplicated.

Access Source

The source of the visit, that is, the specific scene in which the user accesses the Mini Game, such as the history list and QR code of the Mini Program and so on. You can view the number of open times for Mini Game in each scene and analyze the user channels of the game.

Access Retention

View the access retention of Mini Game users during the selected time range. You can select the time granularity and view it by day, week, and month. When the time granularity is week or month, the number of people is de-duplicated.

Added retention, count the proportion of the number of users who accessed the Mini Game again on the Nth day (or week, month) after the first visit among the number of users who newly accessed the Mini Game at the specified time (that is, accessed the Mini Game for the first time); for example, the number of users who accessed the game for the first time on January 1st is 100, if 10 of these users still access the Mini Game on January 2, then the retention rate for the next day is 10.0%.

Active retention, count the proportion of below numbers of users, namely the number of active users in specified time and number of users who access Mini Program again in the Nth day( or week, month) afterwards. For example, the number of users accessing the Mini Program on January 1 is 1000. On January 2, 300 of these users still access the Mini Program, then the next day retention rate is 30.0%.

Revenue Analysis

Revenue Trend

View the trends of revenue data related to Mini Game, including single-day total revenue, cumulative total revenue, number of paid users, number of first-time paid user, penetration rate, average revenue of paid users, average revenue of users, and down payment ratio.

User Portrait

View the distribution of portraits of new or active users over the selected time frame. Data for yesterday, the last 7 days, and the last 30 days can be viewed. Among them, the number of new users is the number of de-repetitive users who access the Mini Game for the first time in the selected time range, and the number of active users is the number of de-repetitive users who have visited the Mini Game within the selected time range.

Gender and Age Distribution

View the gender and age distribution of new or active users. "Unknown" may occur due to the missing of attribute data for part of the users.

Regional Distribution

View the distribution of major provinces for new or active users. The chart shows only top10 of the number of users.

View the distribution of major cities for new or active users. You can view or download the complete data at the bottom of the page for further analysis. "Unknown" may occur due to the missing of attribute data for part of the users.

Terminal and Model Distribution

View the distribution of terminals and models for new or active users, including iPhone, Android and others for terminals. "Unknown" may occur due to the missing of model data for part of the users.