CN108537573A - Traveller's acquisition methods and system in a kind of real estate's sales - Google Patents
Traveller's acquisition methods and system in a kind of real estate's sales Download PDFInfo
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Abstract
Traveller's acquisition methods and system in a kind of real estate's sales of present invention offer, the method includes：S1 obtains the corresponding client's search condition of each default source of houses condition if information of real estate for sale meets each default source of houses condition；Wherein, the default source of houses condition and the advance associated storage of client's search condition；S2 retrieves the first client for meeting client's search condition from the house prosperity transaction database built in advance and/or the customer portrait built in advance.The present invention targetedly excavates target traveller, and acquisition traveller is at low cost, and purchase intention is strong.
Description
Technical Field
The invention belongs to the technical field of house property sales, and particularly relates to a method and a system for acquiring a customer source in house property sales.
Background
The house, commonly called house, is generally divided into a new house and a second-hand house. The new house is a commodity for sale constructed on the land photographed by the real estate developer after the land is photographed. With the development of real estate economy, more and more real estate is to be sold, and the search for customer sources becomes an important problem in the sale of real estate.
The existing property sales are generally publicized through a network or advertisements, and clients know property information through publicizing information. However, the propaganda face is a large number of people, and the propaganda face is purposeless, so that the propaganda cost is too high, and the effect is very little. In addition, many customers brought by publicity do not have strong purchasing intention, but generally conduct information consultation, but consume a large amount of communication cost. And the client who really intends to buy misses the opportunity to buy the house because he does not see the related publicity information.
In summary, in the existing delivery sales, the cost of acquiring the customer source is high, the number of customers with purchasing intentions is small, and the purchasing intentions are low, so that the customer source acquisition effect is poor. Therefore, it is desirable to provide a new method for obtaining a source of customers to solve the above problems.
Disclosure of Invention
In order to overcome the problems of high customer source acquisition cost and poor effect in the house sales or at least partially solve the problems, the invention provides a customer source acquisition method and a system in the house sales.
According to a first aspect of the present invention, there is provided a method for obtaining a customer source in a house property sale, comprising:
s1, if the house source information to be sold meets each preset house source condition, acquiring a client retrieval condition corresponding to each preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner;
s2, searching out the first client meeting the client searching condition from the pre-constructed house property transaction database and/or the pre-constructed client portrait.
Specifically, the step S1 is preceded by:
a tag describing a user representation according to one or more of basic information, consumption information, network behavior information and news media information of a client;
constructing a customer representation according to the tags;
wherein the tags include one or more of a basic tag, a life class tag, a consumer capability tag, an hobby tag, and a life stage tag;
the base label comprises one or more of name, age, gender, cultural degree, occupation and income;
the life label comprises one or more of a room, a room without, a vehicle with and a vehicle without;
the life stage label is a marriage stage, a childbearing stage or a pregnancy stage.
Specifically, the property transaction database includes one or more of a customer's identification number, loan information, property information, and a property deal amount.
Specifically, the step S1 is preceded by:
when a house property transaction database is constructed, a mobile phone number, an IMEI number or an app account number are used as customer identifications; and/or the presence of a gas in the gas,
when the customer portrait is constructed, a mobile phone number, an IMEI number of the handheld device or an app account number is used as a customer identifier.
Specifically, the house source information to be sold comprises one or more of opening time, house type, building area, floor, cell periphery, opening price and cell selling point.
Specifically, when the preset house source condition is that the number of bedrooms in the house source information to be sold is greater than a first preset threshold value and the area is greater than a second preset threshold value, the customer retrieval condition is that a house property with the number of bedrooms smaller than or equal to the first preset threshold value is purchased in a preset historical time period and the age of the customer is greater than a third preset threshold value; or,
and when the preset house source condition is that the area in the house source information to be sold is smaller than a fourth preset threshold value, the customer retrieval condition is that the age is in a preset age range, the customer is in a love and marriage stage, has no house, has good credit and has income more than a fifth preset threshold value.
Specifically, the step of retrieving the first customer satisfying the customer retrieval condition from the pre-constructed property transaction database and the pre-constructed customer figure in step S2 specifically includes:
retrieving a second customer satisfying a first customer retrieval sub-condition among the customer retrieval conditions from a pre-constructed property transaction database;
and searching the first client meeting the second client searching sub-condition in the client searching condition from the client image of the second client.
Specifically, the step S2 is followed by:
and pushing the house source information to be sold to the first client.
According to a second aspect of the present invention, there is provided a customer source acquiring system in real estate sales, comprising:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring a client retrieval condition corresponding to a preset house source condition when house source information to be sold meets the preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner;
and the retrieval unit is used for retrieving the first client meeting the client retrieval condition from the pre-constructed real estate transaction database and/or the pre-constructed client portrait.
According to a third aspect of the invention, there is provided a non-transitory computer readable storage medium storing a computer program of the method as described above.
The invention provides a customer source obtaining method and a system in house property sale, wherein the method comprises the steps of judging whether house source information to be sold meets each preset house source condition, obtaining a customer retrieval condition corresponding to the preset house source condition met by the house source information to be sold, and retrieving customers meeting the customer retrieval condition from a pre-constructed house property transaction database and/or a pre-constructed customer portrait, so that a target customer source is purposefully excavated, the customer source obtaining cost is low, and the purchase intention is strong.
Drawings
Fig. 1 is a schematic overall flow chart of a customer source obtaining method in house property sales according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an overall structure of a customer source acquisition system in house property sales according to an embodiment of the present invention;
fig. 3 is a schematic view of an overall structure of a customer source acquisition device in a house property sale according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In an embodiment of the present invention, a method for obtaining a customer source in a house property sale is provided, and fig. 1 is a schematic overall flow chart of the method for obtaining a customer source in a house property sale provided in the embodiment of the present invention, where the method includes: s1, if the house source information to be sold meets each preset house source condition, acquiring a client retrieval condition corresponding to each preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner; s2, searching out the first client meeting the client searching condition from the pre-constructed house property transaction database and/or the pre-constructed client portrait.
Specifically, in S1, the information of the house source to be sold is basic information of the target house source waiting for sale, for example, the price and area of the house source to be sold, and the like. The preset house source conditions are conditions which are required to be met by a preset house source, and the preset house source conditions are one or more. And when the preset house source conditions are multiple, comparing the house source information to be sold with each preset house source condition, and selecting the preset house source conditions met by the house source information to be sold. And acquiring the customer retrieval condition corresponding to the preset house source condition met by the house source information to be sold according to the stored corresponding relation between the preset house source condition and the customer retrieval condition. The preset house source conditions and the client retrieval conditions are managed and stored in advance, so that house sources to be sold are divided into different categories according to the house source information to be sold through the preset house source conditions, target clients are divided into different categories according to the client retrieval conditions, one or more types of clients correspond to the house sources to be sold in each category, and the house sources to be sold in each category are pushed to the clients in the corresponding category.
In S2, the pre-constructed property transaction database stores therein property transaction information of the client, such as house-buying time, house-buying price and house-buying type. The pre-constructed customer figure comprises various information of the customer, such as basic information, property information, credit information and the like. The client search condition comprises judgment of house property transaction information and/or judgment of client portrait information. And when the client retrieval condition only comprises judgment on the property transaction information, retrieving a first client meeting the client retrieval condition from the property transaction database. The first customer is a final customer screened from a large number of customers and is a target customer source. When the client search condition includes only the judgment of the client portrait information, a first user satisfying the client search condition is searched from the client image. When the customer search condition includes both the judgment of the property transaction information and the judgment of the customer figure information, a first customer satisfying the customer search condition is searched from the property transaction library and the customer figure.
According to the embodiment, whether the house source information to be sold meets each preset house source condition is judged, the client retrieval condition corresponding to the preset house source condition met by the house source information to be sold is obtained, and the client meeting the client retrieval condition is retrieved from the pre-constructed house transaction database and/or the pre-constructed client portrait, so that the target client source is purposefully excavated, the client source obtaining cost is low, and the purchase intention is strong.
On the basis of the foregoing embodiment, step S1 in this embodiment further includes: a tag describing a user representation according to one or more of basic information, consumption information, network behavior information and news media information of a client; constructing a customer representation according to the tags; wherein the tags include one or more of a basic tag, a life class tag, a consumer capability tag, an hobby tag, and a life stage tag; the base label comprises one or more of name, age, gender, cultural degree, occupation and income; the life label comprises one or more of a room, a room without, a vehicle with and a vehicle without; the life stage label is a marriage stage, a childbearing stage or a pregnancy stage.
Specifically, one or more of basic information, consumption information, network behavior information and news media information of the client are obtained. Wherein the basic information of the client comprises one or more of name, age, gender, cultural degree, occupation and income. The consumption information includes one or more of an e-commerce consumption and a credit card consumption. The network behavior information comprises the behavior information of the client on the life entertainment website and the APP, such as domestic and foreign travel information, life group purchase information, parent-child activity information and the like. The news media information includes information accessed and disclosed by the news media, such as ranking information of the company where the client is located. The user portrait is then described in terms of the above information. The tags include one or more of a basic tag, a life class tag, a consumer capability tag, an hobby tag, and a life stage tag. Wherein the basic labels are name, occupation, age, etc. The life labels are whether there is a room, no room, a car, no car and the like. The consumer ability labels are local tyrant, white collar and the like. The interest label is tourists, body building enthusiasts and the like. The life stage labels are marriage stage, childbearing stage, pregnancy stage, etc. Each of the labels constitutes the customer image. The embodiment acquires various information of the customer through various information channels, and uses the various information to construct the customer portrait and provide data for customer source acquisition.
On the basis of the above embodiments, the property transaction database in this embodiment includes one or more of the customer's identification number, loan information, property information, and property transaction amount.
Specifically, on the basis of the real estate development for many years, a real estate transaction database is constructed in advance. The real estate belongs to the transaction of bulk commodities, the transaction link is complicated, and a lot of information of real estate transaction, such as identity card numbers, loan information, real estate transaction amount, the history of real estate transaction through one person and the like, is recorded in the transaction process. And building a real estate transaction database by using the real estate transaction data.
On the basis of the foregoing embodiments, in this embodiment, before the step S1, the method further includes: when a house property transaction database is constructed, a mobile phone number, an IMEI number or an app account number are used as customer identifications; and/or when the customer portrait is constructed, the mobile phone number, the IMEI number of the handheld device or the app account number are used as customer identification.
Specifically, the IMEI (International Mobile Equipment Identity) is an International Mobile Equipment Identity, is a character string composed of 15 digits, and corresponds to each Mobile phone one by one. The customer identification in the customer representation and the customer identification in the property transaction database may or may not be the same.
On the basis of the foregoing embodiments, in this embodiment, the house source information to be sold includes one or more of opening time, house type, building area, floor, cell periphery, opening price, and cell selling point.
On the basis of the foregoing embodiments, in this embodiment, when the preset house source condition is that the number of bedrooms in the house source information to be sold is greater than a first preset threshold and the area is greater than a second preset threshold, the customer retrieval condition is that a house property whose number of bedrooms is less than or equal to the first preset threshold is purchased in a preset historical time period, and the age of the customer is greater than a third preset threshold; or when the preset house source condition is that the area in the house source information to be sold is smaller than a fourth preset threshold value, the customer retrieval condition is that the age is in a preset age range, the customer is in a love stage and has no house, the credit is good, and the annual income is larger than a fifth preset threshold value.
Specifically, for example, the first preset threshold is 2, and when the house source to be sold is 3 rooms, 2 halls and 2 toilets, the preset house source conditions are that the number of bedrooms in the house source information to be sold is greater than 2 and the area of the bedrooms is greater than 90 square meters. The second preset threshold is 90. And acquiring the customer retrieval condition corresponding to the preset house source condition, wherein the customer retrieval condition is a customer who has bought a house with the bedroom number of 2 or 1 in the last 3-8 years and is over 30 years old. The third preset threshold is 30. As another example, the fourth threshold is 90, and the area in the house source information to be sold is 60, which is smaller than the fourth preset threshold. And acquiring the customer retrieval conditions corresponding to the preset house source conditions, wherein the customer retrieval conditions comprise that the age is between 20 and 30 years, the marriage stage is free of house, the credit is good, and the annual income is more than 8 ten thousand. The fifth preset threshold is 8.
In this embodiment, according to the house source information to be sold, the house sources to be sold are divided into different categories according to the preset house source conditions, the target customers are divided into different categories according to the customer retrieval conditions, one or more types of customers correspond to the house sources to be sold in each category, and then the house sources to be sold in each category are pushed to the customers in the corresponding category.
On the basis of the foregoing embodiments, the step of retrieving the first customer meeting the customer retrieval condition from the pre-constructed property transaction database and the pre-constructed customer figure in step S2 in this embodiment specifically includes: retrieving a second customer satisfying a first customer retrieval sub-condition among the customer retrieval conditions from a pre-constructed property transaction database; and searching the first client meeting the second client searching sub-condition in the client searching condition from the client image of the second client.
Specifically, for example, the preset house source conditions are that the number of bedrooms in the house source information to be sold is greater than 2 and the area is greater than 90 square meters. The client search condition corresponding to the preset house source condition is that the client has bought a house property with the bedroom number of 2 or 1 in the last 3-8 years and is over 30 years old. If the house source information to be sold meets the preset house source condition, a second customer meeting the condition that the quantity of the purchased bedrooms is 2 or 1 in the last 3-8 years is searched from the house property transaction database. The first customer search sub-condition is that a customer having a bedroom number of 2 or 1 property has been purchased within the last 3-8 years. The second customer is not the ultimate target source of customers. On the basis of the retrieved second customer, a first customer is retrieved from a customer representation of said second customer that satisfies customers aged over 30 years. The second customer retrieval sub-condition is a customer aged 30 years or older.
Such as the second client retrieved being clients A, B and C. The portrayal of client A is: age 30-40, presence of children, presence of cars, IT practitioners, etc. The representation of client B is: the age is 20-30 years, in love, there is no room, no car, the credit is good, the individual trader income is 20-50 ten thousand. The image of customer C is 30-40 years old, with car, without house, white collar, married. Since the second customer retrieval sub-condition is a customer over age of 30, then customer B is filtered out. Clients a and C are the first clients.
On the basis of the foregoing embodiments, in this embodiment, after the step S2, the method further includes: and pushing the house source information to be sold to the first client.
Specifically, the house source information to be sold is pushed to the first customer through a mobile phone short message or a mobile phone APP, and the first customer is a mined target customer source.
In another embodiment of the present invention, a system for acquiring a customer source in house sales is provided, and fig. 2 is a schematic diagram of an overall structure of the system for acquiring a customer source in house sales provided in the embodiment of the present invention, and the system includes an acquiring unit 1 and a retrieving unit 2, where:
the acquiring unit 1 is configured to acquire a client retrieval condition corresponding to a preset house source condition when the house source information to be sold meets the preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner; the retrieval unit 2 is used for retrieving the first client meeting the client retrieval condition from the pre-constructed property transaction database and/or the pre-constructed client portrait.
Specifically, the information of the house source to be sold is basic information of the target house source to be sold, for example, the price, the area, and the like of the house source to be sold. The preset house source conditions are conditions which are required to be met by a preset house source, and the preset house source conditions are one or more. When the preset house source conditions are multiple, the obtaining unit 1 compares the house source information to be sold with each preset house source condition, and selects the preset house source condition satisfied by the house source information to be sold. The obtaining unit 1 obtains the customer retrieval condition corresponding to the preset house source condition satisfied by the house source information to be sold according to the stored corresponding relationship between the preset house source condition and the customer retrieval condition. The preset house source conditions and the client retrieval conditions are managed and stored in advance, so that house sources to be sold are divided into different categories according to the house source information to be sold through the preset house source conditions, target clients are divided into different categories according to the client retrieval conditions, one or more types of clients correspond to the house sources to be sold in each category, and the house sources to be sold in each category are pushed to the clients in the corresponding category.
The pre-constructed house property transaction database stores house property transaction information of clients, such as house purchase time, house purchase price, house purchase type and the like. The pre-constructed customer figure comprises various information of the customer, such as basic information, property information, credit information and the like. The client search condition comprises judgment of house property transaction information and/or judgment of client portrait information. When only the judgment of the property transaction information is included in the customer retrieval condition, the retrieval unit 2 retrieves a first customer satisfying the customer retrieval condition from the property transaction database. The first customer is a final customer screened from a large number of customers and is a target customer source. When the client search condition includes only the judgment of the client figure information, the search unit 2 searches the first user satisfying the client search condition from the client image. When the customer search condition includes both the judgment of the property transaction information and the judgment of the customer figure information, the search unit 2 searches the first customer satisfying the customer search condition from the property transaction library and the customer figure.
According to the embodiment, whether the house source information to be sold meets each preset house source condition is judged, the client retrieval condition corresponding to the preset house source condition met by the house source information to be sold is obtained, and the client meeting the client retrieval condition is retrieved from the pre-constructed house transaction database and/or the pre-constructed client portrait, so that the target client source is purposefully excavated, the client source obtaining cost is low, and the purchase intention is strong.
On the basis of the above embodiment, the embodiment further includes a construction unit, configured to describe a tag of the user representation according to one or more of basic information of the client, consumption information, network behavior information, and news media information; constructing a customer representation according to the tags; wherein the tags include one or more of a basic tag, a life class tag, a consumer capability tag, an hobby tag, and a life stage tag; the base label comprises one or more of name, age, gender, cultural degree, occupation and income; the life label comprises one or more of a room, a room without, a vehicle with and a vehicle without; the life stage label is a marriage stage, a childbearing stage or a pregnancy stage.
On the basis of the above embodiments, the property transaction database in this embodiment includes one or more of the customer's identification number, loan information, property information, and property transaction amount.
On the basis of the above embodiments, the embodiment further includes an identification unit, configured to use a mobile phone number, an IMEI number of the handheld device, or an app account number as a customer identification when building the house property transaction database; and/or when the customer portrait is constructed, the mobile phone number, the IMEI number of the handheld device or the app account number are used as customer identification.
On the basis of the foregoing embodiments, in this embodiment, the house source information to be sold includes one or more of opening time, house type, building area, floor, cell periphery, opening price, and cell selling point.
On the basis of the foregoing embodiments, in this embodiment, when the preset house source condition is that the number of bedrooms in the house source information to be sold is greater than a first preset threshold and the area is greater than a second preset threshold, the customer retrieval condition is that a house property whose number of bedrooms is less than or equal to the first preset threshold is purchased in a preset historical time period, and the age of the customer is greater than a third preset threshold; or when the preset house source condition is that the area in the house source information to be sold is smaller than a fourth preset threshold value, the customer retrieval condition is that the age is in a preset age range, the customer is in a love stage and has no house, the credit is good, and the annual income is larger than a fifth preset threshold value.
On the basis of the foregoing embodiments, in this embodiment, the retrieving unit is specifically configured to: retrieving a second customer satisfying a first customer retrieval sub-condition among the customer retrieval conditions from a pre-constructed property transaction database; and searching the first client meeting the second client searching sub-condition in the client searching condition from the client image of the second client.
On the basis of the above embodiments, the embodiment further includes a pushing unit, configured to push the house source information to be sold to the first customer.
The embodiment provides a customer source obtaining device in house property sales, and fig. 3 is a schematic diagram of an overall structure of the customer source obtaining device in house property sales, provided by the embodiment of the present invention, and the device includes: at least one processor 31, at least one memory 32, and a bus 33; wherein,
the processor 31 and the memory 32 complete mutual communication through the bus 33;
the memory 32 stores program instructions executable by the processor 31, and the processor calls the program instructions to execute the methods provided by the method embodiments, for example, the method includes: s1, if the house source information to be sold meets each preset house source condition, acquiring a client retrieval condition corresponding to each preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner; s2, searching out the first client meeting the client searching condition from the pre-constructed house property transaction database and/or the pre-constructed client portrait.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: s1, if the house source information to be sold meets each preset house source condition, acquiring a client retrieval condition corresponding to each preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner; s2, searching out the first client meeting the client searching condition from the pre-constructed house property transaction database and/or the pre-constructed client portrait.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the customer source acquiring device in house property sales are merely illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, the method of the present application is only a preferred embodiment and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for acquiring customer source in house property sales is characterized by comprising the following steps:
s1, if the house source information to be sold meets each preset house source condition, acquiring a client retrieval condition corresponding to each preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner;
s2, searching out the first client meeting the client searching condition from the pre-constructed house property transaction database and/or the pre-constructed client portrait.
2. The method according to claim 1, wherein the step S1 is preceded by:
a tag describing a user representation according to one or more of basic information, consumption information, network behavior information and news media information of a client;
constructing a customer representation according to the tags;
wherein the tags include one or more of a basic tag, a life class tag, a consumer capability tag, an hobby tag, and a life stage tag;
the base label comprises one or more of name, age, gender, cultural degree, occupation and income;
the life label comprises one or more of a room, a room without, a vehicle with and a vehicle without;
the life stage label is a marriage stage, a childbearing stage or a pregnancy stage.
3. The method of claim 1, wherein the property transaction database includes one or more of a customer's identification number, loan information, property information, and property deal amount.
4. The method according to any one of claims 1 to 3, wherein the step S1 is preceded by:
when a house property transaction database is constructed, a mobile phone number, an IMEI number or an app account number are used as customer identifications; and/or the presence of a gas in the gas,
when the customer portrait is constructed, a mobile phone number, an IMEI number of the handheld device or an app account number is used as a customer identifier.
5. The method according to any one of claims 1 to 3, wherein the house source information to be sold comprises one or more of opening time, house type, building area, floor, cell periphery, opening price and cell selling point.
6. The method according to any one of claims 1 to 3, wherein when the preset house source condition is that the number of bedrooms in the house source information to be sold is greater than a first preset threshold value and the area is greater than a second preset threshold value, the customer retrieval condition is that a house property with the number of bedrooms smaller than or equal to the first preset threshold value is purchased in a preset historical time period and the age of the customer is greater than a third preset threshold value; or,
and when the preset house source condition is that the area in the house source information to be sold is smaller than a fourth preset threshold value, the customer retrieval condition is that the age is in a preset age range, the customer is in a love and marriage stage, has no house, has good credit and has income more than a fifth preset threshold value.
7. A method according to any one of claims 1 to 3, wherein the step of retrieving the first client meeting the client retrieval condition from the pre-constructed property transaction database and the pre-constructed client representation in step S2 specifically comprises:
retrieving a second customer satisfying a first customer retrieval sub-condition among the customer retrieval conditions from a pre-constructed property transaction database;
and searching the first client meeting the second client searching sub-condition in the client searching condition from the client image of the second client.
8. The method according to any one of claims 1 to 3, wherein the step S2 is further followed by:
and pushing the house source information to be sold to the first client.
9. A system for acquiring a customer source in a house property sale, comprising:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring a client retrieval condition corresponding to a preset house source condition when house source information to be sold meets the preset house source condition; wherein, the preset room source condition and the client retrieval condition are stored in a pre-associated manner;
and the retrieval unit is used for retrieving the first client meeting the client retrieval condition from the pre-constructed real estate transaction database and/or the pre-constructed client portrait.
10. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110084533A (en) * | 2019-05-10 | 2019-08-02 | 重庆聚房通科技有限公司 | Management information defects analysis system based on enterprise's big data |
| CN111178953A (en) * | 2019-12-20 | 2020-05-19 | 贝壳技术有限公司 | Information generation method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469286A (en) * | 2016-01-04 | 2016-04-06 | 广西住朋购友文化传媒有限公司 | Real estate user selection method |
| CN106339818A (en) * | 2016-08-30 | 2017-01-18 | 李壮志 | Real estate intermediary service system and client and agent matching method |
| CN107016103A (en) * | 2017-04-12 | 2017-08-04 | 北京焦点新干线信息技术有限公司 | A kind of method and device for building user's portrait |
| CN107358459A (en) * | 2017-06-15 | 2017-11-17 | 浙江启冠网络股份有限公司 | Advertisement placement method and system based on orientation house property interest crowd |
| CN107679971A (en) * | 2017-10-27 | 2018-02-09 | 珠海华发新科技投资控股有限公司 | A kind of estate sales system |
-
2018
- 2018-03-15 CN CN201810215495.8A patent/CN108537573A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469286A (en) * | 2016-01-04 | 2016-04-06 | 广西住朋购友文化传媒有限公司 | Real estate user selection method |
| CN106339818A (en) * | 2016-08-30 | 2017-01-18 | 李壮志 | Real estate intermediary service system and client and agent matching method |
| CN107016103A (en) * | 2017-04-12 | 2017-08-04 | 北京焦点新干线信息技术有限公司 | A kind of method and device for building user's portrait |
| CN107358459A (en) * | 2017-06-15 | 2017-11-17 | 浙江启冠网络股份有限公司 | Advertisement placement method and system based on orientation house property interest crowd |
| CN107679971A (en) * | 2017-10-27 | 2018-02-09 | 珠海华发新科技投资控股有限公司 | A kind of estate sales system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110084533A (en) * | 2019-05-10 | 2019-08-02 | 重庆聚房通科技有限公司 | Management information defects analysis system based on enterprise's big data |
| CN111178953A (en) * | 2019-12-20 | 2020-05-19 | 贝壳技术有限公司 | Information generation method and device, electronic equipment and storage medium |
| CN111178953B (en) * | 2019-12-20 | 2023-10-31 | 贝壳技术有限公司 | Information generation method and device, electronic equipment and storage medium |
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