Post by account_disabled on Feb 24, 2024 6:21:35 GMT -5
The author provides relevant analysis ideas and experience summary based on the data analysis of the content -type applet as the starting point. Let's take a look at it. It may be helpful to the students engaged in data analysis. Background: In order to better build a brand, the company often deposures small programs with different functions, such as content types, tool types, and conversion mini -programs. In order to optimize the ecology of the applet, the user traffic between the mini -programs often needs to be targeted. Sex data analysis, this article is based on the data analysis of content mini -programs as the entry point to provide everyone with a reference idea.
I. the corresponding first key indicators according to the nature of different products and different life cycles of the product. At the same time, refer to the second key indicator. Differential Jiangsu Mobile Number List vanity indicators and can be put into practice indicators, active number, cumulative number of visitors VS active number/monthly total number of visitors, and the number of new gifts within the unit time. 2. After the user's dimension data is clarified to clarify the first key indicator, the focus of the small program is determined. You can refine the user journey chart according to the dimensions of the new customers and the old customers, and select the key optimized functional module.
For different types of users, select key optimization functions, and anchor the corresponding indicator of targeted operation strategies. Example: User activity: The total number of active persons/weekly visits, target>%, refer to the average value of the day in the past March, the target of the day retention rate, refer to the active user retention rate of active user in recent months; the mini -program sharing rate> %, Refer to recent March forwarding rate%. Sharing rate = User sharing times/number of user access times. For example, the data indicators of content mini -programs are more concerned about active old users, so they need to draw user activity data for comparison. The B -end product manager is preparing to do a big job。
I. the corresponding first key indicators according to the nature of different products and different life cycles of the product. At the same time, refer to the second key indicator. Differential Jiangsu Mobile Number List vanity indicators and can be put into practice indicators, active number, cumulative number of visitors VS active number/monthly total number of visitors, and the number of new gifts within the unit time. 2. After the user's dimension data is clarified to clarify the first key indicator, the focus of the small program is determined. You can refine the user journey chart according to the dimensions of the new customers and the old customers, and select the key optimized functional module.
For different types of users, select key optimization functions, and anchor the corresponding indicator of targeted operation strategies. Example: User activity: The total number of active persons/weekly visits, target>%, refer to the average value of the day in the past March, the target of the day retention rate, refer to the active user retention rate of active user in recent months; the mini -program sharing rate> %, Refer to recent March forwarding rate%. Sharing rate = User sharing times/number of user access times. For example, the data indicators of content mini -programs are more concerned about active old users, so they need to draw user activity data for comparison. The B -end product manager is preparing to do a big job。