Basic concepts of product data analysis

Product data analysis , what indicators need to be viewed? The whole text is full of valuable information , please keep it.

1. Basic indicators

Launching users: users who have launched the application (de-duplicated based on independent devices)

New users: users who launched the app for the first time in the selected period

Old users: users who have launched the application before.

Duration of each session: The average duration of each application session

Average usage time per user: The average time each user spends using the app

Daily active users: users activated on the same day

Daily activity: users activated on the day/total users

Weekly active users: users who have launched the application in the past 7 days (including today) (deduplicated)

Weekly activity: Weekly active users/Cumulative users

Monthly active users: users who have launched the application in the past 30 days (including today) (deduplicated)

Monthly active users: monthly active users/total users

Monthly Silent Users: Users who have not launched the app in the past month

Monthly silent rate: Monthly silent users/Total users

Lost users: users who have not launched the application in the past 60 days (including today) (deduplicated)

Churn rate: lost users/accumulated users

Cumulative launch users: The cumulative number of users who have launched the application (de-duplicated based on independent devices)

Retained users: Retained users refer to new users in a certain period of time who continue to use the program after a period of time. This indicator can be used to understand user stickiness and loyalty.

Retention rate : Users who start using an app within a certain period of time and continue to use the app after a period of time are considered to be retained; the proportion of these users to the new users at that time is the retention rate.

Daily retention: Among the new users on a certain day, the number of users who launched the program every day after the second day.

Weekly retention: The number of new users in a week who have launched the app every week after the second week.

Monthly retention: Among the new users in a certain month, the number of users who have launched the program every month after the second month

Active retention number: Among the active users in a certain period of time, the number of users who have launched the program every day after the second day.

2. User Analysis

User attributes: User attributes, such as gender, age, occupation, education, industry distribution, interest distribution, etc.

Geographic distribution: The region where the user launches the app

Brand: The brand of the phone on which the app is installed

Device Model: The model of the phone on which the application is installed

Operating System: The version number of the operating system where the application is installed

Resolution: The screen resolution of the device where the app is installed

Carrier : The carrier of the device on which the app is installed

Network connection method: The network connection method used to launch the application (such as Wi-Fi, 3G/4G)

3. Usage Analysis

Visited pages: pages visited by users (such as search index)

Visited page note name: Visited page note name (such as search page)

Visits: The total number of times users visit the current page

Visit ratio: Current page visits/Total page visits

Average dwell time: The average length of time a user spends on a page (e.g., the length of time they spend on a search page)

Dwell time ratio: the total dwell time of users visiting the current page / the total dwell time of users on all pages

Page bounce rate: The proportion of users leaving the application from the current page

One-time launch: If the interval between opening the app twice is less than 30 seconds, it will be counted as one time // This is a note

Visit depth: The total number of pages visited by a user in one startup. If a user visits the same page multiple times in one startup, the page will be accumulated.

Frequency of use: The number of times the product was launched during the selected time period

Usage duration: the time a user spends using the application (session)

Usage interval: The time interval between two consecutive starts by the same user within the selected time period.

4. Channels and versions

Channel: The channel from which the user downloaded the app

New users across all channels: The number of new users who downloaded and activated the app on this channel for the first time and had never downloaded the app on other channels before (de-duplicated with all users)

Version: The version of the application used by the user

Cumulative new users: The number of new users of this version in the selected time period.

Upgraded users: The number of new users who have upgraded from historical versions to the selected version

New User: New User - Upgraded User

5. Error Analysis

Error type: Error function name information

Priority: There are three statuses: "High priority", "Medium priority", and "Low priority". New errors are set to high priority by default.

Error count: The number of times this type of error occurs

Error rate: number of errors/accumulated number of startups

Error Summary: Error stack information summary

6. Notes

The above information is all from Baidu Statistics. Due to the author's limited level, if you find any errors, please let me know in time and I will make changes!