This topic describes how to use Quick Audience to perform user insights. In this example, a workspace administrator uses a user tag table in Quick Audience.
Prerequisites
The account of the workspace administrator is used to import the User Tag Table Import.
Data pivoting
You can use the imported user tag table to perform a pivot analysis on tags to obtain information such as the value distribution of tags among users.
In addition, you can use the imported data table to create an RFM model and an AIPL model, and then perform RFM analysis, AIPL user analysis, and AIPL flow analysis, respectively. For more information, see User Analysis Overview.
Procedure:
Choose Workspace> User Insight > User Analysis > Pivot Analysis.
Select the label that you want to pivot analysis, and the corresponding analysis chart will be displayed below.
For more information, see Pivot Analysis.
You can also filter audience from the analysis chart in the preceding figure. Click a graph in the chart and click New Audience to save the user corresponding to the graph as a audience.
Audience filtering
You can filter audience that meet the specified conditions from the imported data, and then analyze, push, and download the audience. Multiple filtering methods are supported, such as RFM model filtering, AIPL model filtering, behavior filtering, and metric filtering. For more information, see Audience Filtering Documentation.
In this example, the imported user tag table is used to filter audience by tag filtering.
Procedure
Choose Workspace> User Insight > Insight Analysis > audience Filter to go to the audience Filter page.
Click Tags on the left or drag Tags from the left to the right. A tag filter card is added to the right.
Select the entity to which you belong.
In the Label Filter card, select the label (with user attributes).
Set the value requirements for tags.
Click + Condition to add a condition.
You can specify multiple conditions by using the AND, OR method. Default value: AND. You can click to switch between conditions.
Press and hold the icon in front of the
condition with the left mouse button and drag the condition to adjust the calculation level of the condition. For more information, see Tag Filtering.
Enter the audience name and description, select the directory to which the audience is saved, and the associated child activities. For more information, see Marketing Campaign Documentation. Specify whether the audience is a public audience, and select the ID type to which the audience is saved. Click Estimate to estimate the number of people in the audience. Click Generate audience to filter audience.
Audience analysis
Perspectives are analyzed for the selected audience to analyze the indicators of the current audience.
You can also use RFM analysis. For more information, see audience Audience Analysis Documentation.
In addition, you can download and push audience. For more information, see Audience Management and Audience Push.
Procedure for perspective indicator analysis:
After the audience is created, choose Workspace> User Insight > Insight Analysis > audience Management > My audience. Click Analysis of the audience to go to the audience Analysis page.
On the Audience Pivot Metrics tab, select Compare audience.
All audience Under Entity: compares data between the current audience and all audience in the audience source table.
Specified audience: compares the data of the current audience with that of the specified audience. You need to choose a contrast audience.
Delete Comparison audience: No comparison analysis is required.
Select the label you want to analyze. The corresponding analysis chart is displayed below, as shown in the following figure.
If you move the pointer over a graph in the analysis chart, the number of people in this audience will be displayed. If comparison is enabled, the proportion will also be displayed.
For more information, see Audience Perspective Metric Analysis.
