Enterprise customer obtaining method and device, electronic equipment and storage medium
By generating multi-factor matching conditions and comparing the enterprise feature set in the data platform, the problems of low clue collection efficiency and low accuracy in the existing technology are solved, and the matching of high-quality intention clues and the improvement of enterprise customer acquisition efficiency are achieved.
CN119719473APending Publication Date: 2025-03-28SF TECH CO LTD
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Patent Information
- Application Number
- CN202311276913.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-27
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
When the existing technology sells and expands new customers, there are problems such as low clue collection efficiency, low accuracy, low security and low utilization.
Method used
By receiving customer acquisition requests from users input by the enterprise, a multi-factor matching condition is generated and compared with the enterprise feature set stored in the data platform to obtain customer source enterprises that meet the conditions, and finally recommend these enterprises to users.
Benefits of technology
It has achieved matching high-quality intention clues, enriching clues with intelligence, improving clue conversion rates, and improving the customer acquisition efficiency of enterprises.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides an enterprise customer obtaining method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving an enterprise customer obtaining request inputted by a user, generating a multi-factor matching condition according to the enterprise customer obtaining request, and enabling each factor in the multi-factor matching condition to represent an enterprise feature; the multi-factor matching condition is compared with an enterprise feature set corresponding to each enterprise stored in the data platform, a customer source enterprise meeting the multi-factor matching condition is obtained, the enterprise feature set corresponding to each enterprise is obtained by conducting data preprocessing on multi-dimensional data collected by each enterprise through the data platform, and the customer source enterprise meets the multi-factor matching condition; the data preprocessing comprises at least one of data flattening processing, data vectorization processing, data tagging processing and enterprise quality scoring processing; and recommending the customer source enterprise to the user. Based on the method, high-quality intention clues can be matched through a multi-factor matching condition, the clues are enriched intelligently, the clue conversion rate is improved, and the customer obtaining efficiency of an enterprise is improved.
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