With the popularization of refined operation, extensive and large-scale users in the past no longer buy it. The minimum service that each user can accept is different. How to use resources effectively according to the value of users? Maximizing the use of leverage has become the key to the survival of enterprises.
There is no unified theory in previous Internet applications or games. However, using interdisciplinary thinking, we can find that we have studied the field of marketing and given a model method with high accuracy and strong interpretability.
User life cycle judgment needs three indicators:
1, the frequency of user login, here is the number of days of the cycle.
2. The maximum cycle of recent users, that is, from the first active user to the last active user.
3. At the stage where T users are located, they are active for the first time until the end of the observation period.
For the payment forecast, the average payment amount of users is also needed.