Dry cargo sharing 5 minutes to master on the tall cohort analysis

important things to say three times

group analysis is one of the core of product data analysis

group analysis is one of the core of product data analysis

group analysis is one of the core of product data analysis

what is the same period group (Cohort)?

The

cohort is a user grouping method.

The

cohort will user grouping by the new time of the user, the group called a cohort.

for example:

from God’s point of view, the user of the product of the earth (that is, human), the division of the same group is the "70", "after 80", "after 90", "after the 00"…… (by new birth time).

 

for your product, the user access to the same period of the group is this week’s new users, new users last week, new users last week…… Of course, you can also be divided by day or month, the time of the particle size can be large or small, but it is important to add new time.

what is the simultaneous group analysis (Cohort Analysis)?

group analysis is the analysis of the same index for different groups of users in the same period after the user is divided into the same group.

 

points:

user groups for the same period

compared to different groups (such as this week’s new users and last week’s new users)

compared to the same indicators (such as registration conversion)

in order to facilitate understanding, here are some examples of the same period group analysis for reference:

in 1 cases.

phenomenon: a App, one day there are 100 new users to install and use the first time, a day after the remaining 98 people, after two days… Three days…… 95 days later, N is still in use.

conclusion: the viscosity of this product is very good, almost all users are retained, no loss.

in 2 cases.

phenomenon: or this App, in March there are new users XXX people, of which only 3% of the people are still used for second days. After the operation of the improvement, in April the new users have YYY people, second days to install the person is still up to the use of the 15%. After product improvement, in May the new users have ZZZ people, second days to install the person is still up to the use of the 30%.

conclusion: before improvement, the product is very bad, the second day wastage rate is quite high

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