What is the data burying point?

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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