Then it is very important to effectively extend the user's life time and increase the active frequency. Retention analysis can be used to analyze the user's participation/activity in the app. Products in various industries also use retention indicators to measure whether their products are in a healthy state. Retention of new devices: how many new devices will be active in the follow-up, and those who have an account system also commonly use "retention of new users" (new users: newly registered users); Retention of new devices on day xx: newly added devices, the proportion of devices active on day xxx; Retention of new devices within xx days.
The proportion of newly added devices that have been active within xxx days. The retention used in this article is the retention Phone Number List of new equipment. Getting to know the retention curve After getting the user: Initial stage: Due to the user's experience and choice of the product, quickly decide whether to use the product; Mid-term: whether the user can continue to use the product; Products with core values will cause some users to continue to stay and enter a plateau after long-term use .
The figure below is only an example data, and the volatility period of most products will even last until 14 days later. Improve user retention 1. Retention performance of each channel There are often obvious differences in user retention across different channels, as shown in the figure below: Oppo's retention performance is better than other channels. Combining this difference, you can check whether the oppo user base is special when it is acquired, how much the purchase volume accounts for, etc.