What is the data burying point?
The so-called "buried point" is a term in the field of data collection (especially the field of user behavior data collection). It refers to related technologies and technologies that capture, process and send specific user behaviors or events. its implementation process.
According to the buried point technology, it can be divided into: code buried points, visual buried points, and no buried points (table form)
Code buried points:
Collection instructions: Embed SDK, define events and add event codes
Scenario: Behavior analysis based on business value
Advantages: On-demand collection; more complete business information; analysis of data More focused
Disadvantages: Compared with the other two, there are more developers
Full focus:
Collection instructions: Embed SDK
Scenario: No collection time required; suitable for activity page and landing page key page design experience measurement
Advantages: simple and fast; compared with code buried points, developers have less workload
Disadvantages: Data accuracy is not high; uploading a lot of data consumes high traffic; data has a single latitude
Visualization points:
Collection instructions: Embed SDK, visualized Circle selection definition event
Scenario: User behavior on the page is less related to business information; there are many pages and few page elements; the application of behavioral data is shallow
Advantages: and code Compared with developers, developers have less workload
Disadvantages: business personnel have heavy workload; events need to be redefined after version iteration, lack of business-based interpretation
Key indicators
When we talk about the quality of an application, we generally talk about several indicators. Understanding the meaning of these indicators is of great significance for burying the point.
Visits and Visitors
The number of visits and the number of visitors are indicators that almost all applications need to count, and they are also the most basic indicators. When calculating the number of visitors, the data reported by the site is as close as possible to the number of real visitors.
Stay duration
Stay duration is used to measure the time a user stays on a certain page of the application or a visit (session). The data on the length of stay is not necessarily collected. For example, the page entry time (11:13), an exception occurs when leaving, or the exit time is not recorded. At this time, the calculation is 0. Therefore, when calculating indicators, it is necessary to understand the status of buried points and eliminate such invalid data.
Bounce rate
The bounce rate indicator is very maneuverable. By counting the bounce rate, you can directly find problems with the page and the layout of the keywords in the page.
Exit rate
The exit rate mainly reflects the situation of users leaving the application.
Conversion rate
The conversion rate is calculated by dividing a certain output by the number of unique visitors or visits. For e-commerce products, it is the user who submits an order. Number divided by unique visitors. Conversion rate is the indicator that best reflects the hidden skills, and the calculation method needs to be developed based on business characteristics.
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