# 1. A summary of the signage
# 1.1 Summary of Contents
Provides Weixin Mini Program access retention metric statistics for access users and new users.
Retention rate is a measure of the degree of stickiness of the target user to the behavior of the feature.At present, the platform data modules on We Analytics all count "access retention," and if you want to count the retention rate of other behaviors, you can use [Data Analysis - Behavior Analysis - Retention Analysis] to perform the corresponding statistical analysis.
Access retention refers to the percentage of users who have accessed the Weixin Mini Program in a "specific time," who have accessed the Mini Program again in a "specific time."
For example:
On August 1, "Active user retention" in the natural-day statistics section means what percentage of users who visited Weixin Mini Program on August 1 visited the Mini Program again on August 2
Week 30 07 / 24 / 07 / 30, "New user retention" under the weekly statistics section means the percentage of Weixin Mini Program new users who visited the Mini Program again on week 31 07 / 31 / 08 / 06
In general, the higher the retention rate, the better the user stickiness, but also need to consider the business attributes of Weixin Mini Program.For example, MiniGame usually needs to pay more attention to the daily retention data of new users, while government services such as livelihood services may be more reasonable to pay attention to related indicators such as weekly retention and monthly retention because they are less frequently used.
# 1.2 Version differences
- Basic: Supported, but unable to download data, filters
- Pro: Support
# 2. Statistical parameters of indicators
# 2.1 Overview of retention indicators
| Chart Types | Chart Name | Indicator Name | Statistical calibre | Early dates of trace |
|---|---|---|---|---|
| Indicator clusters | Overview of retention indicators | Active user retention | The proportion of Weixin Mini Program active users in the target cycle who revisit the Mini Program in the next statistical cycle | 2021/7/1 |
| New user retention | Proportion of Weixin Mini Program new users in the target cycle who revisit the Mini Program in the next statistical cycle | 2021/7/1 | ||
| Trend chart | Trends in retention indicators | / | You can see the overall trend of active user retention and new user retention under various statistical granularity. Active user retention currently supports scene filtering | 2021/7/1 |
# 2.2 Details of retention indicators
| Chart Types | Chart Name | Indicator Name | Statistical calibre | Early dates of trace |
|---|---|---|---|---|
| form | Retention indicators Data breakdown table | / | Supports querying for details of retained indicators under various statistical granularity / calibre | 2021/7/1 |
# 2.3 Early traceability of retention indicators
The above-mentioned "earliest dates of traceability" are limited to the statistical range of "natural days"; the earliest numbers of other statistical ranges are as follows
· Nearly 7 days: 2021 / 6 / 25 / 2021 / 7 / 1
· Nearly 30 days: 2021 / 6 / 2 / 2021 / 7 / 1
· Nature Week: 6 / 28 / 2021 / 7 / 4
# 3. Common problem
# Q1: Does the scene selection of retention index need to be the same before and after the two access scenes?
I need to.
For example, when a scene is filtered to "Fixed Scene - Taskbar," a visiting scene that requires both active cycles and retention cycles is "Fixed Scenes - TaskBar."
# Q2: Why are the options in the scene filter box only part of the scene?
Current scene granularity supports only secondary scenes. At the same time, because the current statistical calibre requires consistent access scenarios both times before and after.
Therefore, in the options, consider only secondary scenarios with reflow properties. Certain secondary scenarios are unlikely to be repeated and are not supported for the time being.