# 1. A summary of the signage
# 1.1 Summary of Contents
Provides a Weixin Mini Program Page Path level metric.It is mainly divided into two categories:
- Page access profile: provides page access, access depth, bounce rate and other general indicators.
- Page Access Details: Provides access trends and details for each page path.
Weixin Mini Program page is the most important basic concept in daily analysis of Mini programs.
We analyze the relevant indicators under [digital analysis - platform data - page analysis],Both are based on the "Path level" and, if you want to count page access data at the "Parameter level" (Query level), you can report the relevant data and do the corresponding statistical processing in [Data Analysis - Behavior Analysis - Event Analysis].
In addition, to facilitate day-to-day business analysis and data monitoring, it is recommended that analysts work with front-end development colleagues to identify the pages represented by different page paths and fill out corresponding notes.
# 1.2 Version differences
- Basic: Supported, but unable to download data, filters
- Pro: Support
# 2. Statistical parameters of indicators
# 2.1 Page Access Overview
| Chart Types | Chart Name | Indicator Name | Statistical calibre | Early dates of trace |
|---|---|---|---|---|
| Indicator clusters | Page Access Overview | Number of pages visited per day | The total number of visits to the Weixin Mini Program page in a single day on the selected date.Jumping between multiple pages and repeat visits to the same page count as multiple visits | 2021/1/1 |
| Per capita access depth | Number of page paths per visitor (by Path) on the selected date | 2021/1/1 | ||
| Sub-average access depth | Number of average page paths accessed per Weixin Mini Program open on the selected date (by Path) | 2021/1/1 | ||
| Indicator clusters | Page Jump Out Overview | bounce rate - user dimension | The percentage of users accessing Weixin Mini Program with only 1 page views on the selected date | 2021/1/1 |
| Jumpout rate - number of dimensions | On the selected date, Weixin Mini Program is open, the number of pages accessed is only 1% | 2021/1/1 | ||
| Pillar diagram | Page Visit Top10 | / | Number of visits to each page path, number of openings, number of pages visited during the current statistical cycle | 2022/4/1 |
| Pillar diagram | Access depth distribution | / | The number of access paths for a single user / single open, unduplicated by Path, in the current statistical cycle. See FAQ Q1 for details | 2022/7/1 |
Note: The above-mentioned "earliest date of traceability" is limited to the statistical range of "natural days." The earliest date for other statistical ranges is as follows
· Page Visit Top10: The natural week is 2022 / 4 / 4-2022 / 4 / 10, and the natural month is April 22.
· Depth distribution of visits: Natural Week: 2022 / 7 / 4-2022 / 7 p.m., Natural Month: July 22
# 2.2 Page visit breakdown
| Chart Types | Chart Name | Indicator Name | Statistical calibre | Early dates of trace |
|---|---|---|---|---|
| Trend chart | Page Views Indicator Trends | / | Trends in 5 statistical indicators, such as page paths, number of visits, number opened, etc. | 2022/4/1 |
| form | Page access Data breakdown table | Number of visits | How many revisited users visited the page path during the selected date | 2022/4/1 |
| Number of times it was opened | How many times has Weixin Mini Program been opened during the selected date? | 2022/4/1 | ||
| Number of pages visited | The total number of visits to the page path during the selected date. Multiple "different parameters but same path" page jumps, and repeat visits to the same page count as multiple visits | 2022/4/1 | ||
| Per capita duration of stay | Total average time spent on the page per user during the selected date (in seconds), i.e. total time spent / number of visits | 2022/4/1 | ||
| Average duration of stay | The total amount of time (in seconds) spent on the Mini Program page each time Weixin Mini Program is opened, on average, during the selected date, i.e. the total length of stay / open. | 2022/4/1 | ||
| Number of entry pages | The number of pages accessed as an entry page within the selected date, for example, a user enters Weixin Mini Program from page A, then the number of entry pages on page A + 1 | 2022/4/1 | ||
| Proportion of entry pages | Number of incoming pages / Number of visited pages during the selected date | 2022/4/1 | ||
| Number of exit pages | The number of pages accessed as the exit page within the selected date, e.g. a user exits from page B Weixin Mini Program, then the number of exit pages from page B + 1. | 2022/4/1 | ||
| Proportion of exit pages | Number of exit pages / Number of access pages during the selected date | 2022/4/1 | ||
| Page exit rate (dimension of number of visits) | The percentage of users who visited the page that closed Weixin Mini Program as an exit page during the selected date | 2022/4/1 | ||
| Page exit rate (dimension of number of openings) | Weixin Mini Program was closed as an exit page in the number of open visits to the page during the selected date | 2022/4/1 |
# 3. Common problem
# Q1: Using "number of pages visited" / "number of visitors," it does not match the "per capita access depth," and the access depth distribution seems to be somewhat wrong. What are the differences in statistical accuracy here?
The relevant indicators of access depth all need to deweight page paths, that is, to count the total number of different paths, so it is not possible to calculate per capita access depth directly using "number of pages visited" / "number of people visited."
For example, what if the user only accessed pages / detail?id=1、pages/detail?Id = 2, then his access depth is only 1
At the same time, access depth distribution - the user dimension, statistically defined as the sum of the access depths opened multiple times per user per hour.
For example, if a user opens Weixin Mini Program once in the morning and accesses 3 different pages, and opens another Mini Program in the afternoon and accesses 2 different pages, the user is counted as 5, or 3 + 2 combined, in the access depth distribution - user dimension statistics.
# Q2: What is the difference between "number of page views" and "number of page views"?
A page's "open count" is how many times a page has been opened and visited out of the number of Weixin Mini Program open that day.
For example:
User [A], in the morning has visited page A, page B, page D, page B.In the afternoon, I opened Weixin Mini Program again, and visited page C, page A successively.
User [B], only opened Weixin Mini Program once that day, has visited page B, page C, page B, page C, page B.
So, for page B,
The number of visits was 2. Both A and B visited
Open the number of times for 2, A morning that opened, and B opened, visited page B
The number of pages visited was 5, A visited 2 times and B visited 3 times
# Q3: "exit page proportion," "page exit rate (number of visitors dimension)," "page exit rate (number of open dimension)" 3 unified index what is the difference?
The proportion of exit pages. Only count how much of the cumulative number of visits to that page is an exit page
The page exit rate considers the proportion of users / openings who exit the page using that page path.
For example:
User [a] opened this Weixin Mini Program 5 times that day, each time visited the Merchant Page, for a total of 15 visits, and twice closed a Mini Program from the Merchanti Page
User [b] opened this Weixin Mini Program 3 times that day, and only once visited the Merchant Page. The total number of pages visited was 5, but none of the Mini Programs closed from the Merchantic Page
So, negotiate the page.
The number of "opt-out pages" is 2, that is, the 2 times that user [a] has logged out
The "percentage of exit pages" should be 2 / (15 + 5), or 10%.
The "page exit rate (dimension of number of openings)" should be 2 / (5 + 1), or 1 / 3
The "page exit rate (number of visits dimensions)" should be 50%, with only 1 out of 2 users exiting from the page