Real estate customer transaction probability prediction method and device, and server

A probabilistic forecasting and real estate technology, applied in forecasting, instruments, electrical digital data processing, etc., can solve the problem of intention degree (the probability of transaction cannot be effectively predicted, etc., and achieve the effect of reducing the difficulty of intention analysis and improving sales performance

Inactive Publication Date: 2019-04-12
重庆锐云科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The method, device and server for predicting the transaction probability of real estate customers provided by the present invention mainly solve the technical problem that the degree of intention (transaction probability) of the real estate customer to the project cannot be effectively predicted

Method used

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  • Real estate customer transaction probability prediction method and device, and server
  • Real estate customer transaction probability prediction method and device, and server
  • Real estate customer transaction probability prediction method and device, and server

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Embodiment 1

[0041] See figure 1 , figure 1 It is a schematic flowchart of a method for predicting the transaction probability of real estate customers provided by Embodiment 1 of the present invention. The method mainly includes the following steps:

[0042] S101. Obtain historical behavior data of the customer to be tested on the target real estate. The historical behavior data of the customer to be tested includes one or more behavior characteristics and a corresponding first frequency of occurrence.

[0043] The model takes "customer id + property id" as the basic unit, that is, to predict the transaction probability of the customer to be tested, based on the historical behavior data of the customer to be tested for the target real estate. For the historical behavior of the user to be tested to other properties The data are not used to predict the transaction probability of the target real estate. Wherein, the historical behavior data includes behavior characteristics, and the first ...

Embodiment 2

[0080] On the basis of Embodiment 1, this embodiment provides a device for predicting the transaction probability of real estate customers. Please refer to Figure 5 The real estate customer transaction probability prediction device 50 is used to realize the steps of the real estate customer transaction probability prediction method described in the first embodiment above, and the prediction device 50 includes a data acquisition module 51 and a processing module 52 .

[0081] Wherein the data acquisition module 51 is used to obtain the historical behavior data of the customer to be measured to the target real estate, the historical behavior data of the customer to be measured comprises one or more behavior characteristics and the corresponding first frequency of occurrence; The decision tree structure obtained by training the training set; the training set includes historical behavior data and customer types of customers selected from the database, and the historical behavior d...

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Abstract

The invention provides a real estate customer transaction probability prediction method and device and a server, and the method comprises the steps: obtaining the historical behavior data of a to-be-tested customer for a target building, the historical behavior data of the to-be-tested customer comprising one or more behavior characteristics and a corresponding first occurrence frequency; obtaining a decision tree structure obtained by training the training set by using a random forest algorithm model; wherein the training set comprises historical behavior data of a client selected from the database and a client type, and the historical behavior data of the selected client comprises one or more behavior characteristics and a corresponding second occurrence frequency; inputting the historical behavior data of the to-be-tested client into the decision tree structure to obtain the transaction probability of the to-be-tested client to the target building; therefore, the effective prediction of the customer transaction probability is realized, the intention analysis difficulty of the sales personnel on the real estate customer transaction probability is reduced, the sales personnel canconveniently carry out more targeted follow-up service on customers with different transaction probabilities, and the sales performance is improved.

Description

technical field [0001] The invention relates to the field of real estate, in particular to a method, device and server for predicting the transaction probability of real estate clients. Background technique [0002] At present, customers' visits to real estate projects are mainly judged through offline visits and the information expressed during the reception process with sales staff. Once the customer leaves the sales site, it is very difficult for the salesperson to track the customer. Therefore, at present, the intention behavior of customers for the project cannot be effectively tracked and recorded through an effective means, so it is very difficult to collect customer information through multiple dimensions. [0003] How to judge the real purchase intention of customers has always been a problem for sales staff. In the daily reception process, sales staff and customers have limited contact time. The communication with customers is often carried out only through the re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/16G06F16/2458
CPCG06Q10/04G06Q50/16
Inventor 李琦宋卫东
Owner 重庆锐云科技有限公司
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