Real estate repurchase customer follow-up quantity calculation method and device and storage medium

A calculation method and real estate technology, applied in the field of big data, can solve problems such as ineffectiveness and customer loss, and achieve the effect of ensuring maximum, accurate follow-up investment, and reducing time and labor costs.

Inactive Publication Date: 2020-04-14
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

These behaviors are time and manpower expenses. Many projects have invested manpower costs to follow up these customers, but there is not much effect. Some projects do ignore these customers and cause certain losses.
At present, there is no clear way for case personnel to follow up, to identify customers with a high probability of repurchase and to allocate resources reasonably

Method used

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  • Real estate repurchase customer follow-up quantity calculation method and device and storage medium
  • Real estate repurchase customer follow-up quantity calculation method and device and storage medium
  • Real estate repurchase customer follow-up quantity calculation method and device and storage medium

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Embodiment 1

[0035] In order to improve the resource utilization rate of real estate developers and obtain the maximum profit with the least cost input, such as figure 1 As shown, the present invention provides a kind of real estate repurchasing customer follow-up quantity calculation method, the concrete steps of this method are as follows:

[0036] S1. Construct a Naive Bayesian probability calculation model, select 1:1 repurchase customer data and non-repurchase customer data as samples, and the repurchase customer data and non-repurchase customer data include the basic information of the customer and the customer's information Behavioral data, wherein, the repurchasing customers are customers with a second purchase record, and the non-repurchase customers are customers without a second purchase record.

[0037] The required data indicators are obtained through each table. Since the number of positive and negative samples in the repurchase customer data is too different, Smote negative ...

Embodiment 2

[0064] On the basis of the first embodiment above, this embodiment provides a device, such as figure 2 As shown, it is mainly used to realize the steps of a method for calculating the number of follow-up customers for repurchasing real estate in the first embodiment. The device mainly includes a processor 21, a memory 22 and a communication bus 23; the communication bus 23 is used to implement the processor 21 Communication with the memory 22; the processor 21 is used to execute one or more programs stored in the memory 22, so as to realize the steps of a method for calculating the follow-up quantity of real estate repurchase customers as in the first embodiment above. For details, please refer to the description in the first embodiment above, and details are not repeated here.

[0065] In addition, this embodiment also provides a storage medium, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors, so as to re...

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Abstract

The invention provides a real estate repurchase customer follow-up quantity calculation method and device and a storage medium, and the method comprises the steps: constructing a naive Bayes probability calculation model, and selecting repurchase customer data and non-repurchase customer data as samples; obtaining basic information of a non-repurchase customer and behavior data of the customer; calculating the probability that the non-repurchase customer becomes a repurchase customer by using the constructed naive Bayes probability calculation model; calculating the follow-up time cost and thecost sum of the re-purchasing customer by utilizing the calculation result of the re-purchasing customer probability; and calculating the follow-up number of the repurchasing customer at the maximumprofit through a profit and total profit calculation formula. The invention provides a real estate repurchase customer follow-up quantity calculation method and device and a storage medium. The probability that the customers become the re-purchasing customers is calculated according to the behavior data of the customers, the basic personal information of the customers and the house purchase information, and follow-up cost and the number of the follow-up customers are allocated and the follow-up customers are determined according to the probability that each customer becomes the re-purchasing customer.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method, device and storage medium for calculating the number of follow-up customers who repurchase real estate. Background technique [0002] Repurchase plays a vital role in the survival, continuous operation, market growth and retention of existing customers of real estate companies. However, the repurchase rate for bulk commodities such as real estate is low. According to customer purchase statistics, there is a repurchase rate of 3% nationwide, 0 in some cities, and around 6% in some cities. In order to increase sales, we must not let go of any sales opportunity. As long as you show some willingness to buy, you will be assigned an industry consultant to follow up on the phone and invite you to visit. These behaviors are time and manpower expenses. Many projects have invested manpower costs to follow up these customers but have not achieved much results, and some projects...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/18G06F16/9535
CPCG06Q30/0202G06F17/18G06F16/9535
Inventor 李琦宋卫东
Owner 重庆锐云科技有限公司
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