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Mining method of real estate sales leads

A clue and real estate technology, applied in the mining of real estate sales leads, can solve problems such as inability to judge purchases, lack of cross-validation, etc.

Inactive Publication Date: 2017-01-04
BEIJING GEO POLYMERIZATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the characteristics of the real estate industry, most users visit real estate e-commerce websites to obtain information. In most cases, there is no need to log in. Real estate e-commerce websites can only analyze based on behavior such as cookies, and cannot carry out further and more effective offline marketing.
[0009] 3) Lack of cross-validation
Only behaviors related to the user’s real estate can be collected, and it is impossible to judge whether the user is really capable of purchasing

Method used

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  • Mining method of real estate sales leads

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Experimental program
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Effect test

Embodiment Construction

[0021] Such as figure 1 As shown, the mining method of this real estate sales leads, the method includes the following steps:

[0022] (1) Establish a real estate knowledge base, user ID knowledge base, user consumption ability knowledge base, user purchase knowledge base and user risk knowledge base;

[0023] (2) Mining similar properties based on attributes and behaviors;

[0024] (3) Establish a clue scoring model;

[0025] (4) Select candidate clues: analyze the user's access behavior on various websites in the recent period, if he has visited the target real estate and its similar real estate, then add the user to the list of candidate clues, and record the access behavior of the clue user on each website at the same time;

[0026] (5) Scoring the candidate clues: For the users in the candidate clue list, analyze their behavior on each website, extract their behavior characteristics, use the clue scoring model to score, and the clues whose scoring results are greater th...

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Abstract

The invention discloses a mining method of real estate sales leads, and is advantageous in that, more and more effective sales leads of login and non-login users can be obtained, and marketing of properties is facilitated. The method comprises steps of : (1) establishing a real estate knowledge database, a user ID knowledge database, a user consumption ability knowledge database, a user house purchasing knowledge base and a user risk knowledge database; (2) mining similar properties based on attributes and behaviors; (3) establishing a leads scoring model; (4) selecting candidate leads; (5) scoring the candidate leads; (6) filtering potential leads to obtain a potential leads list; and (7) for users in the potential leads list, getting access to the user ID knowledge database to obtain his contact information, and providing the contact information to a developer for marketing.

Description

technical field [0001] The invention belongs to the technical field of big data processing and analysis, and in particular relates to a mining method for real estate sales leads. Background technique [0002] The current real estate sales leads mainly come from online and offline. Offline mainly comes from customer visits and mutual introductions. Online comes from customers’ active registration on real estate e-commerce websites, and based on customers’ visit behavior on real estate websites. Potential customer mining. [0003] At present, the online potential customer mining mainly adopts the potential customer mining scheme of the traditional e-commerce platform. The customer is identified by the customer ID, and the customer's visit and purchase behavior are analyzed in units of sessions. Identify customers' purchase intentions. [0004] Patent application "a potential customer mining method based on customer behavior characteristics" (CN201510903856.4), identify custo...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
CPCG06Q30/0201G06F16/95G06F2216/03
Inventor 冯幼乐林靖王亚伟张翼崔晶晶林佳婕
Owner BEIJING GEO POLYMERIZATION TECH
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