Active Users Report

Overview

The Active Users Report is designed to analyze user activity within the app and provide timely insights to respond to user behavior. The report displays the current number of active users for a selected time period, as well as the impressions and revenue generated by these users through in-app and ad campaigns. Depending on the selected time intervals, the report allows tracking of DAU (Daily Active Users), WAU (Weekly Active Users), and MAU (Monthly Active Users).

Key Features:

User Activity Tracking – Monitors the number of active users across selected timeframes (DAU, WAU, MAU).
Behavioral Insights – Provides data to identify and react to user engagement trends.
Revenue and Impressions Analysis – Displays the impressions and revenue generated by active users through in-app purchases and ad campaigns.
Granular Time Segmentation – Offers flexibility to analyze user activity on daily, weekly, or monthly levels.
Decision-Making Support – Helps optimize app performance by understanding user activity and behavior patterns.

Filters and Dimensions

Below is a detailed list of the primary filters and dimensions available in the report, each accompanied by a description to clarify its purpose and usage:

Filter and Dimension	Description
App	The name of the application.
Date	The date of the event.
Week	The week of the event.
Month	The month of the event.
Media Source	The media source through which the user installed the app.
Device Type	The type of device used.
App Version	The version of the application.
Country	The country of the user.
In-App Status	The user's status at app launch, indicating whether they are free, paying, or unknown. At the time of the first purchase, the user is in the free status.
Subscription Status	The user's status at app launch, showing whether they have an active subscription.
OS Version	The version of the operating system.
A/B Test	The name of the A/B test.
A/B Test Group	The name of the test group.
App Initial Version	The version of the app installed by the user during their first app launch.
User Purch Number	The total number of in-app purchases (note: only in-app purchases, excluding subscriptions and renewals) made by the user throughout their lifetime in the application.
language	The total number of purchases made by the user throughout their lifetime in the application.
Day Index	The cohort day number representing the user's lifetime in the application since installation, not since entering a test.

Metrics

Below is a detailed list of the primary metrics available in the report, each accompanied by a description to clarify its purpose and usage:

Metric	Description
Active Users	The number of unique client IDs who accessed the app at least once during the selected time period.
In-Apps Impressions	The number of in-app campaign impressions during the selected time period.
In-Apps Impressions per Active Users	The number of in-app campaign impressions per user during the selected time period.
Purchases	The number of purchases made during the selected time period.
Purchases per Active User	The number of purchases per user during the selected time period.
In-Apps Revenue	Revenue generated from in-app purchases during the selected time period.
In-Apps ARPAU	In-Apps Revenue / Active Users.
Total Ads Revenue	Revenue generated from ads during the selected time period.
Total Ads ARPAU	Total Ads Revenue / Active Users.
BN Ads Revenue	Revenue generated from banner ads during the selected time period.
INT Ads Revenue	Revenue generated from interstitial ads during the selected time period.
RV Ads Revenue	Revenue generated from rewarded ads during the selected time period.
BN Ads ARPAU	BN Ads Revenue / Active Users.
INT Ads ARPAU	INT Ads Revenue / Active Users.
RV Ads ARPAU	RV Ads Revenue / Active Users.
Total Ads Impressions	The number of ad impressions during the selected time period.
BN Impressions	The number of banner ad impressions during the selected time period.
INT Impressions	The number of interstitial ad impressions during the selected time period.
RV Impressions	The number of rewarded ad impressions during the selected time period.
Total Ads Impressions per Active Users	Total Ads Impressions / Active Users.
BN Impressions per Active Users	BN Impressions / Active Users.
INT Impressions per Active Users	INT Impressions / Active Users.
RV Impressions per Active Users	RV Impressions / Active Users.
Total Sub Revenue	The total revenue generated from subscriptions during the selected time period.
Total Revenue	The total revenue generated from all sources (ads, in-app purchases, and subscriptions) during the selected time period.
ARPU	Average Revenue Per User, calculated as Total Revenue / Active Users over the selected time period.
Session Per User	The average number of sessions per user, measured in minutes, during the selected time period.
Average Session Length	The average duration of a single session, measured in minutes.
Average Time Per User	The average time a user spends in the app, measured in minutes, during the selected time period.
Median Session Length	The median duration of a single session, measured in minutes, representing the midpoint of all session lengths recorded during the selected time period.

Definition of Median

The median is a statistical measure representing the middle value of a dataset when all values are arranged in ascending order. It is the point at which half of the values are lower and half are higher.

Example:

For the dataset {11, 9, 3, 5, 1}, sorting the values in ascending order results in {1, 3, 5, 9, 11}. The median is 5, as it is the middle value.

Handling Even-Numbered Datasets:

When a dataset contains an even number of elements, the median is not uniquely defined. In such cases, it is calculated as the average of the two middle values.

For example, in the dataset {1, 3, 5, 7}, the median is calculated as:

(3+5)/2=4

The median is useful for analyzing datasets as it provides a central tendency measure that is less affected by extreme values compared to the mean.

Example Explanation from the Report

Based on the report data (screenshot below):

On 03.08, there were 601 active users (DAU).
These users generated $13.22 in ad revenue.
They viewed a total of 25,427 ad impressions.
The average ad revenue per user (ARPU) was $0.02.

This example demonstrates how key metrics such as DAU, revenue, impressions, and ARPU can provide actionable insights into user activity and monetization performance.

Screenshot 2023-10-30 at 02.02.09-20241018-123554.png

Additionally:

The chart illustrates the daily user activity dynamics, showing how users engaged with the application over the selected time period.
By selecting Order By or choosing dimensions such as Day, Week, or Month in the graph or table, you can track daily (DAU), weekly (WAU), and monthly (MAU) user activity.

e1199ece-67f5-4bef-bb33-fac4e04a8172-20241018-123713.png

Active Users Report

Overview

Filters and Dimensions

Metrics

Definition of Median

Example Explanation from the Report

A∕B Test Cohort Report And Dashboard

Ads Monetization Report and Dashboard

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