Customer management method and system
By predicting the behavioral characteristics of the customer group and screening the characteristic highlight of advertising materials, and combining behavioral interest factors to push advertising, the problem of difficult to capture short-term interest changes in customer group is solved, and efficient matching between advertisements and customer group and increase conversion rate.
Patent Information
- Application Number
- CN202411341844.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-25
- Publication Date
- 2025-01-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art is difficult to accurately capture short-term interest changes in customer groups, resulting in an imbalance in the matching of advertising and customer groups, affecting advertising conversion rate and customer experience.
By obtaining behavioral data of customer groups, using long-term and short-term memory neural network models to predict behavioral characteristics, classifying customer groups, filtering advertising materials, extracting text feature vectors, calculating feature highlighting, combining behavioral interest factors for advertising push management, and adjusting advertising display in real time Priority.
It realizes accurate capture of short-term interests of customer groups and accurate matching of advertising content, improves advertising conversion rate, ensures that advertisements are highly matched with customer interests, and maintains a balance between advertising and customer groups.
Smart Images
Figure CN119295151A_ABST