Churn period (decline phase): User growth stops and begins to decay. Core business indicators in different periods: Introduction stage (start-up stage): the number of seed users, the iterative executive email list improvement of product functions Growth stage (growth stage): number of users, user scale, retention Mature and stable period (mature stage): try to realize monetization, increase the number of paying users and the unit price Churn period (decline stage): slow down the appearance of user churn, stock operation Key groups and incentive directions for user executive email list operations: Introduction stage (start-up stage): early adopters. Motivate users to experience the target process, make suggestions, and guide product iteration (case: Utopia).
Growth stage (growth stage): cross-border, highlighting the advantages and characteristics of the product itself, strengthening the advantages and characteristics executive email list (case: painting the world/color TV) Mature and stable period (mature stage): addicts, repurchase old customers, stimulate continuous use of key functions, and promote consumption and repurchase Churn period (decline stage): Caring for customers, recalling, delaying executive email list churn, and stable operation (Case: Baby Tree) Combined with the company's actual situation. The company is in a mature and stable period. The purpose of the membership system is to enhance.
The strong relationship between products and users, continue to stimulate addiction, strengthen brand awareness, and improve user retention and repurchase rates. 2. Determine executive email list the target behavior to be motivated Ways to sort out user behavior: 1. Sort out the possibility of user interaction and try to be as detailed as possible Start sorting from downloading, registering, logging in, modifying your nickname, etc. Generally, the product manager will have interactive summary data. 2. Study the actual critical path and the expected path of the product design for executive email list comparison Both product managers and data analysis need to be involved in this process, based on the characteristics of your own platform users.