Client Portrait Label

RFM layering and multi-dimensional marking to accurately identify high-value customers.

Key highlights

Automatically calculate RFM tiering based on consumption
Supports manual and rule auto-marking
Tag Group Circle Targeting Population
Portrait-driven differentiated marketing reach
Customer lifecycle traceability

Customer portrait labels transform fragmented consumption records into an operational labeling system. The system automatically calculates RFM tiering based on recent consumption, frequency, and amount, and supports multi-dimensional labels such as "maternal and infant preferences", "price sensitivity", and "weekend arrival" for customers according to rules or manually.

Operators can use the tag combination circle to select the target group, such as "high value and has not been in the store in the past 30 days", and then target the offer to make every touch more accurate and truly use customer assets.