Not only reflect the value of data in the enterprise, individuals may also experience the charm of the data, exploratory behavior password using the technology, big data approach allows everyone, welcome straight were concerned about my public number, we can discuss data those funny things.
My public number: livandata
1, the user scale and quality analysis:
1) active user metrics
The number of times a user starts the app and duration of the index.
Number of active users can be divided into: Nikkatsu, weeks or months to live live and so on.
2) new user metrics
For the first time after the user activates an indicator installed app.
3) User constitution index
By understanding the structure of the new and old customers, active health of the user.
4) User Retention Index
Measure of whether the product is attractive mainly to measure viscous.
5) Each active user of the total number of days indicators
The average total number of days each active user on the app, the user quality indicators of response, liveness.
2, the participation of analysis:
1) The number of starts:
The number of times within a period of statistical app startup, in addition to the total number of per capita there.
Long used in conjunction with a number of per capita use per capita, based on active users.
2) Long time use:
app start to the end of the total length of time of use.
3) to access the page:
According to access the page to determine the number of active users. You can find some aspects of the content experience.
If the average number of pages users access 10 pages, some users visited five pages left, visited some 25 pages might be gone, whether it is a page designed drill is not clear enough, or channel page is not clear enough, causing the user pocket ring.
4) use time interval:
Tools use relatively little time interval president, social class frequency will be higher the better.
3, channel analysis:
Whether the user study marketing channels brought about is really "people" in use, is not malicious traffic.
4, functional analysis:
The main function is active analysis, path analysis and page views funnel analysis.
5, the user attribute analysis:
My public number: livandata
