Distribution and description of basic statistical indicators used in mobile terminals

Basic Indicators	Dimension of	Statistical Cycle	explain
New User	No	hours, days, weeks, two weeks, months, real-time	number of users who first used the product during the specified period
Channel	hours, days, weeks, two weeks, months, real-time	number of new users from each channel
version	days, weeks, months	number of new users in each version
National	days, weeks, months	number of new users brought by countries
Value Users	days	number of new users with download resources
Jailbreak/non-jailbreak	days, weeks, two weeks, months	number of jailbroken/non-jailbroken users in new users
have root privileges/no root privileges	days, weeks, two weeks, months	number of users who have root privileges/no root privileges in new users
Cottage Machine (IMEI repeat user)	days, weeks, two weeks, months	the number of new users in the Shanzhai machine. If an IMEI is associated with more than one Mac, it is considered a cottage and the number of independent users is calculated using IMEI+MAC to identify the unique
Installed supplier	days, weeks, two weeks, months	The amount of new users in the installation. If a PC Assistant (MAC) accesses n phones (IMEI), it is identified as an installed
Two user activation	No	days	The number of users who added a new user from the first use time to the last use time for at least 1 days, called the two activations of that day
Channel	two active users in each channel
Active Users	No	hours, days, weeks, two weeks, months	number of users who have used the product during the specified period
Channel	hours, days, weeks, two weeks, months	number of active users in each channel. If a user is added by channel A, then the user's activity is counted on channel a
version	days, weeks, months	number of active users for each version. If User A has used two versions of the product during the statistical cycle, these two versions will contain the user when the active user is calculated
National	days, weeks, months	number of active users in each country. If a user is added by country A, then the user's activity is counted on country a
Value Users	days	number of active users with download resources
Jailbreak/non-jailbreak	days, weeks, two weeks, months	number of jailbroken/non-jailbroken users in Active users
have root privileges/no root privileges	days, weeks, two weeks, months	number of root/non-root users in active users
Cottage Machine (IMEI repeat user)	days, weeks, two weeks, months	number of Shanzhai machines in active users. If an IMEI is associated with more than one Mac, it is considered a cottage and the number of independent users is calculated using IMEI+MAC to identify the unique
Installed supplier	days, weeks, two weeks, months	The amount of the active user that is taken by the installed carrier. If a PC Assistant (MAC) accesses n phones (IMEI), it is identified as an installed
operators	days	number of active users for each operator
Old Users	No	days, weeks, two weeks, months	number of active users that do not contain new parts
Channel	number of old users in each channel
Cumulative Users	No	All	refers to the total number of users who have used a product as of now
Disposable Users	No	All	total number of users who have used the product only once
Channel	One-time users brought by a channel
User Distribution	version	days, last week, last two weeks, last one months, last three months, all	statistics by version user distribution
Area	statistics by region user distribution
Model	Statistics of user distribution by model
firmware	Statistics of user distribution by firmware
language	Statistics of user distribution by language
Operating System	Statistical user distribution by operating system
New user Retention rate	No	days, weeks, months	Nth Week (day, month) retention rate refers to a week (day, month) of the new users, in the next nth weeks (days, months) The number of users who use the product and the number of new users
Channel	new user retention rates for each channel. If a user is added by channel A, then the user's retention is counted on channel a
version	new user retention rates for each version. If a user is added by version A, the user's retention is counted on version a
National	new user retention rates for each country. If a user is added by country A, then the user's retention is counted on country a
Life cycle	No	days	similar to the new user retention algorithm, the new user retention rate only counts the active users on the day, and does not make the day useless, and the users who are useful later accumulate to the same day. For example, a new user a day, in the next N days to use the product, then the retention algorithm is only considered a in the nth day is a retained user, and the life cycle algorithm is considered a in the 1th to n days is a retained user.
Churn User	No	Week, Month	An active user of a week (month) with the number of users who use the product over the next week (month)
Coincident Users	No	days	two (or more) total number of active users among products
per capita number of launches	No	days, weeks, months	The ratio of total user usage to active users in the specified time period
cumulative number of launches	No	days, weeks, months	Statistics of user distribution by total usage per user
version	cumulative start times for each version
daily use time per capita	No	days, weeks, months	The ratio of total usage time to active users for all users in the specified time period
Single use duration	No	days, weeks, months	Statistics user distribution per user per use
version	single use time for each version
cumulative length of Use	No	days, weeks, months	statistics user distribution by total usage time per user
version	cumulative usage time for each version
function Usage Distribution	No	days	statistical distribution of functions by total number of operations
version	feature usage distributions for each version
Functional Path Analysis	No	days	the user clicks the path graph of the function, for example: How many users will enter function B through function A, and then enter function C
version	Functional Path Analysis for each version
Download Volume (volume of distribution)	Product	days, weeks, months	download volume by product statistics
Project Source	count downloads by project Source
Resource Type	count Downloads by resource type (software, themes, wallpapers, ringtones, etc.)
Resource Classification	Statistical downloads by resource category
Channel	statistics by Channel download volume
version	download Volume by product version
Update (two distributions)	number of apps downloaded by update
Search	number of apps downloaded by search
Download Status	Download status statistics by download success, download failure, installation success, installation failure, etc.
Download Volume location distribution	location	days	statistics download distribution by download location
avg. Download Volume	Product	days, weeks, months	Average downloads per user by product, Average downloads = total downloads/number of users with download resources
Project Source	count average downloads per user by project source
Resource Type	to count average downloads per user by resource type
Channel	average number of downloads per user by channel
version	count average downloads per user by version
New User	Count The average downloads per user by new user
Download Ranking	Project Source	days, weeks, months	count resources by project source download volume ranking
Resource Type	count Resource downloads by resource type
Resource Classification	statistics by resource category download ranking
Non-update (one-time distribution)	rank by non-UPDATE STATISTICS resource Download Volume
average number of searches	Project Source	days, weeks, months	count The average number of searches per user by project source Average Search times = total number of searches/users with search behavior
Resource Type	to count the average number of searches per user by resource type
Number of searches	Project Source	days, weeks, months	Count search times by project source
Resource Type	count searches by resource type
Match/ mismatch	count searches by whether search finds relevant results
Search Rankings	Project Source	days, weeks, months	count keyword searches by project source
Resource Type	count keyword searches by resource type
Match/ mismatch	count the number of keyword searches by whether the search finds relevant results
keyword conversion rate ranking	Project Source	days, weeks, months	count keyword conversion rates by project source, keyword Conversion rate = Download volume/number of searches, the download volume here is the number of searches for this keyword by searching for a keyword by clicking on the amount of downloads.
Resource Type	ranking by resource type statistics keyword conversion rate

Distribution of common basic statistical metrics for mobile use and description