Potential customer prediction method, device and system, electronic equipment and storage medium

Abstract

The invention provides a potential customer prediction method, device and system, electronic equipment and a storage medium. The potential customer prediction method comprises the steps of adopting sample potential customer information to train a plurality of quasi-prediction models; calculating recall rates of the plurality of quasi-prediction models, and when the recall rates of the plurality ofquasi-prediction models are greater than a preset threshold, taking the quasi-prediction model with the highest accuracy as a prediction model; and taking the potential customer information to be predicted as the input of the prediction model, the output of the prediction model being the prediction value of the potential customer information to be predicted, and the prediction value indicating the potential customer order probability. According to the invention, the accuracy of potential customer prediction is improved.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a potential customer prediction method, device, system, electronic equipment, and storage medium. Background technique [0002] Sales follow up the information of potential customers through the customer management system to identify potential customers. During the follow-up process, the quality of potential customers depends on the personal experience and judgment of sales. Willing potential customers to bother badly. At present, the main techniques for judging the quality of potential customers are: [0003] The current technology is simple analysis and manual judgment, and lacks in-depth application and mining of business understanding and data. However, this method has the following defects: 1) The identification of potential customers is only the presentation of the internal data summary of the customer management system, which is only fragmented infor...

AI Technical Summary

Problems solved by technology

[0003] The current technology is simple analysis and manual judgment, and lacks in-depth application and mining of business understanding and data. However, this method has the following defects: 1) The identification of potential customers is only the presentation of the internal data summary of the customer management system, which is only fragmented information ; 2) The quality of potential customers depends entirely on manual judgment, and a large number of follow-ups and calls result in waste of resources and increased costs; 3) It takes a long time to have a dedicated data mining team to support, and the features used are only internal data (potential customers Has not yet become a customer, insufficient data integrity) resulting in low accuracy of the model

Images