V4.0.2 Version Guide

Data Entry

• Removes the dataset concept to simplify product understanding.

• Adds support for statistical tables to analyze user operation statistics.

• Data tables support more attributes to enable easier subsequent analysis and selection. Additional attributes in user behavior tables eliminate the row expansion issue present in the old version.

• All data types support hourly automatic updates.

• Administrators complete all data entry configurations at this stage, separating IT responsibilities from business usage.

• The dataset concept is difficult to understand.

• Behavioral datasets do not support automatic updates, and AIPL or RFM models do not support hourly automatic updates.

User Identity Recognition

Introduces an ID-Mapping process. Multi-terminal data uses mobile phone numbers for user identity recognition, enabling omnichannel data integration for analysis and marketing.

Does not perform user identity recognition. User information from different channels remains fragmented and cannot be integrated.

RFM Model

When you create an RFM model, you can set the data statistics scope, such as time, channel, and category.

Does not support setting the data statistics scope.

Audience Filter

• Supports flexible filtering across data tables and ID types.

• You can freely combine different dimensions in cross-filtering using intersection, union, or difference calculations.

• You can perform audience intersections and unions an unlimited number of times.

• Cannot flexibly filter across datasets and ID types.

• Different dimensions in cross-filtering support only intersection or union calculations, and only one calculation type can be used at a time.

• Audience intersections and unions are limited to existing audiences, do not support direct participation in filtering, and support a maximum of three layers.

Audience Update

After underlying table data is updated and imported, audience updates are triggered automatically to ensure marketing reaches the latest audience.

Audiences support only periodic updates, not data-triggered updates.

Automated Marketing Tag Multi-branch Component

Filters branches based on multiple user dimension features: tags, AIPL models, RFM models, behaviors, statistical indicators, and membership in specified audiences.

Filters branches based on user tags only.