JP6886183B2 - Customer attribute estimation system and customer attribute estimation method - Google Patents

Description

The present invention relates to a customer attribute estimation system and a customer attribute estimation method for estimating customer attributes.

Generally, a company or the like receives customer information such as a name and contact information from a customer and manages it. However, since the customer information provided by the customer in this way is limited in content, it is often not sufficient for use for marketing or other purposes. Therefore, various information systems for estimating various attributes of customers have been conventionally proposed.

For example, Patent Document 1 describes the first information indicating the fact that each customer used each of a plurality of counters in order to estimate the attributes of a customer in a financial institution, and the strength of the connection between each counter and the customer attributes. An analyzer that estimates customer attributes based on the second information shown is disclosed. In the case of this analyzer, the more times a customer uses a specific contact point, the stronger the customer attribute that has a strong connection with the contact point is reflected in the attribute of the customer, thereby estimating the attribute of each customer. This allows financial institutions to understand attributes that cannot be directly provided by customers.

Japanese Unexamined Patent Publication No. 2015-225362

In the case of the conventional analyzer described above, the attributes of the customer are estimated based on the behavior of the customer of the financial institution. Therefore, the application target is limited to customers of financial institutions, and it is not possible to obtain the attributes of customers in other industries.

The present invention has been made in view of such circumstances, and a main object thereof is to provide a customer attribute estimation system and a customer attribute estimation method capable of estimating customer attributes in various industries.

In order to solve the above-mentioned problems, the customer attribute estimation system according to one aspect of the present invention acquires real estate attribute information related to the customer's address from the real estate attribute information including the address of each real estate property and other attributes. Attribute correspondence information related to the real estate attribute information acquired by the first acquisition section from the attribute correspondence information in which the attribute of the real estate property and the attribute of the resident of the real estate property are associated with each other. A second acquisition unit for acquiring the above and a customer attribute estimation unit for estimating the attributes of the customer based on the attribute correspondence information acquired by the second acquisition unit are provided.

In the above aspect, the real estate attribute information may be generated based on the real estate advertisement information related to the rental or sale of each real estate property.

Further, in the above aspect, in the attribute correspondence information, at least one of the selling price, the rent, the floor plan, and the number of square meters of the real estate property may be associated with the attribute of the resident of the real estate property.

Further, in the above aspect, in the attribute correspondence information, the attribute of the real estate property may be associated with at least one of the wealth and family composition of the resident of the real estate property.

Further, in the above aspect, in the attribute correspondence information, the attribute of the real estate property and the contact means suitable for contacting the resident of the real estate property may be associated with each other.

Further, in the above aspect, in the attribute correspondence information, the attribute of the real estate property may be associated with the risk information including at least one of the credit risk and the fraud risk of the resident of the real estate property.

Further, in the above aspect, a providing unit that provides advertising information according to the customer's attribute estimated by the customer attribute estimating unit may be further provided.

One aspect of the customer attribute estimating method of the present invention includes the steps the computer, from the real estate attribute information including the address and other attributes of each real estate, to acquire the real estate attribute information relating to the customer's address, the computer However, the step of acquiring the attribute correspondence information related to the acquired real estate attribute information from the attribute correspondence information in which the attribute of the real estate property and the attribute of the resident of the real estate property are associated with each other, and the acquisition by the computer . It has a step of estimating the attribute of the customer based on the attribute correspondence information.

According to the present invention, the attributes of a customer can be estimated by using the real estate management information.

The block diagram which shows the structure of the customer attribute estimation system and its communication destination which concerns on embodiment of this invention. The block diagram which shows the structure of the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the layout of the customer information database provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the layout of the advertisement publication information database provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the rent / income level table provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the floor plan / family composition table provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the floor plan / communication means table provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the square meter number / credit risk table provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the selling price / fraud risk table provided in the customer attribute estimation apparatus which concerns on embodiment of this invention. The flowchart which shows the procedure of the customer attribute estimation processing executed by the customer attribute estimation apparatus which concerns on embodiment of this invention. The figure which shows an example of the customer attribute display screen displayed on the display of the customer attribute estimation apparatus which concerns on embodiment of this invention. The flowchart which shows the procedure of the advertisement information provision processing executed by the customer attribute estimation apparatus which concerns on embodiment of this invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. It should be noted that each of the embodiments shown below exemplifies a method and an apparatus for embodying the technical idea of the present invention, and the technical idea of the present invention is not limited to the following. Absent. The technical idea of the present invention can be modified in various ways within the technical scope described in the claims.

[Customer attribute estimation system configuration]
FIG. 1 is a block diagram showing a configuration of a customer attribute estimation system and a communication destination thereof according to an embodiment of the present invention. The customer attribute estimation system of the present embodiment is configured by the customer attribute estimation device (hereinafter, simply referred to as “estimation device”) 1 in FIG. The estimation device 1 is a device provided on the business operator side that provides various services and products to a plurality of customers, and as shown in FIG. 1, a plurality of customer terminals 2, 2, ... Used on the customer side. Is connected so that it can communicate with. In addition, the estimation device 1 is communicably connected to the real estate advertisement database (DB) 3 that stores advertisement information related to the rental and sale of real estate properties.

The customer terminals 2, 2, ... Are composed of, for example, a personal computer, a mobile phone, a tablet terminal, a device having a communication function such as a PDA (Personal Digital Assistant), and the like. The estimation device 1 communicates with these customer terminals 2, 2, ... Via a communication network 100 such as the Internet.

As the real estate advertisement DB3, it is possible to use a real estate distribution information system such as "Rains" (registered trademark) which is currently popular.

In the present embodiment, the estimation device 1 and the real estate advertisement DB 3 are separate devices as described above, but the estimation device 1 may have the real estate advertisement DB 3.

[Configuration of customer attribute estimation device]
Hereinafter, the detailed configuration of the estimation device 1 described above will be described.
FIG. 2 is a block diagram showing the configuration of the estimation device 1 of the embodiment. As shown in FIG. 2, the computer (estimating device) 1 includes a CPU 10, ROM 11, RAM 12, hard disk 13, communication interface (I / F) 14, and display 15, and these CPU 10, ROM 11, RAM 12, and hard disk 13 are provided. , Communication I / F14, and display 15 are connected by a bus 16.

The CPU 10 executes various computer programs loaded in the RAM 12. As a result, the computer 1 functions as the estimation device 1 of the present embodiment.

The ROM 11 is composed of a mask ROM, a PROM (Programmable ROM), an EPROM (Erasable PROM), an EEPROM (Electrically Erasable PROM), or the like, and is a computer program executed by the CPU 10 and data used for the execution thereof. Is remembered.

The RAM 12 is composed of SRAM, DRAM, or the like. The RAM 12 is used for reading various computer programs stored in the hard disk 13. It is also used as a work area for the CPU 10 when the CPU 10 executes various computer programs.

Various computer programs such as an operating system and an application program to be executed by the CPU 10 and data used for executing the computer programs are pre-installed on the hard disk 13. Further, the hard disk 13 stores an advertisement posting information generated based on the customer information database (DB) 13A for storing customer information about the customer and the advertisement information of the real estate property acquired from the real estate advertisement DB3. The posted information database (DB) 13B and the attribute correspondence information database (DB) 13C for storing the attribute correspondence information in which the attributes of the real estate property and the attributes of the resident are associated with each other are provided. Details of each of these databases will be described later.

Further, a multitasking operating system such as Windows (registered trademark) manufactured and sold by Microsoft Corporation in the United States is installed on the hard disk 13. In the following description, it is assumed that various computer programs run on the operating system.

The communication I / F 14 is an interface device for the estimation device 1 to communicate with an external device via the communication network 100. The estimation device 1 transmits and receives various data to and from the customer terminals 2, 2, ... And the real estate advertisement DB 3 via the communication I / F14.

The display 15 is an output device composed of an LCD or the like, and displays an image (screen) according to a video signal corresponding to image data given by the CPU 10.

Hereinafter, details of each database provided on the hard disk 13 will be described.
(A) Customer information DB13A
FIG. 3 is a diagram showing an example of the layout of the customer information DB 13A provided in the estimation device 1 according to the embodiment of the present invention. As shown in FIG. 3, the customer information DB 13A stores a customer ID field 101 in which a customer ID for identifying a customer is stored, a name field 102 in which the customer's name or name is stored, and a postal code of the customer's address. It has at least a postal code field 103, an address field 104 in which the customer's address is stored, and a contact field 105 in which contacts other than the customer's address are stored.

In the contact field 105, for example, a fixed telephone / mobile phone number, an e-mail address, an account ID of an SNS (Social Network Service), and the like are stored as contacts.

The customer information stored in the customer information DB 13A is generated based on the information provided by the customer. In addition, it is updated as appropriate based on the instruction from the customer.

(B) Advertising information DB13B
FIG. 4 is a diagram showing an example of the layout of the advertisement posting information DB 13B provided in the estimation device 1 according to the embodiment of the present invention. As shown in FIG. 4, the advertisement posting information DB 13B shows an advertisement ID field 201 in which an advertisement ID for identifying an advertisement of each real estate property is stored, and whether the property is rented or bought or sold. Property type field 202 where the property type is stored, postal code field 203 where the postal code of the property is stored, address field 204 where the address of the property is stored, and the time when the advertisement was started to be posted (hereinafter referred to as "posting"). The posting start field 205 in which the "start time") is stored, the posting end field 206 in which the same end time (hereinafter referred to as "posting end time") is stored, the advertiser field 207 in which the advertiser of the advertisement is stored, Contact field 208 where the advertiser's contact information is stored, value field 209 where information indicating the value of the property is stored, floor plan field 210 where information indicating the floor plan of the property is stored, and the number of square meters of the property. It has at least a square meter number field 211 in which is stored and a structure field 212 in which the type of structure (wooden, RC, etc.) of the property is stored.

The above advertisement placement information is generated from the information acquired by the estimation device 1 accessing the real estate advertisement DB3. The content of the advertisement posting information DB 13B is kept up-to-date by repeating the access at an appropriate timing. In addition, a part of various information stored in the advertisement publication information DB 13B may be information acquired from other than the real estate advertisement DB 3.

In the present embodiment, the rent or sale price of the real estate property is stored in the value field 209. However, in addition to these, management costs, age, distance from the station, and the like may be used as information indicating the value of the real estate property stored in the value field 209. In addition, the value of the real estate property may be defined by combining each of these pieces of information.

Further, in the present embodiment, the floor plan field 210 stores information directly indicating the floor plan of the real estate property, but the present invention is not limited to this. For example, the floor area 210 is stored in the floor plan field 210, and the floor plan may be estimated by the estimation device 1 based on the floor area (for example, when the floor area is 100 square meters, it is estimated to be 3LDK). Etc.).

In addition, what stores the posting end time in the posting end field 206 is the advertisement posting information related to the past advertisement. As described above, in the present embodiment, not only the currently valid advertisement but also the advertisement placement information regarding the past advertisement is used. This makes it possible to process more real estate properties.

(C) Attribute correspondence information DB13C
As described above, the attribute correspondence information DB 13C stores the attribute correspondence information in which the attribute of the real estate property and the attribute of the resident are associated with each other. This attribute correspondence information DB 13C is composed of a plurality of tables. Hereinafter, an example of each table will be described with reference to the drawings.

FIG. 5A is a diagram showing an example of a rent / income level table. This rent / income level table shows the correspondence between the rent of the real estate property and the income level of the resident, such as when the rent is 0,000 yen or more and less than 30,000 yen, the income level is 1 million yen. In addition to this rent / income level table, the attribute correspondence information DB13C is provided with a sale price / income level table and the like showing the correspondence between the sale price of the real estate property and the income level of the resident.

The wealth of each customer can be obtained by collating the information stored in the value field 209 of the advertisement posting information DB 13B with the above-mentioned rent / income level table, selling price / income level table, and the like. Here, the wealth level is a value indicating the degree of wealthiness of the customer, and the income level is one index thereof.

FIG. 5B is a diagram showing an example of a floor plan / family structure table. This floor plan / family composition table shows the correspondence between the floor plan of the real estate property and the family composition of the resident, such that when the floor plan is 1K or 1DK, the family composition is single or the like.

By collating the information stored in the floor plan field 210 of the advertisement posting information DB 13B with the above-mentioned floor plan / family structure table, the family structure of each customer can be estimated.

FIG. 5C is a diagram showing an example of a floor plan / communication means table. This floor plan / contact means table is suitable for contacting the floor plan of the real estate property and the resident, such as e-mail, SNS, etc. when the floor plan is 1K or 1DK (hereinafter, "suitable". Correspondence with "means of contact") is shown. This means of communication is by mail or landline for customers who live in a floor plan with a large number of residents, and e-mail for customers who live in a floor plan with a small number of residents. Alternatively, it is stipulated based on the assumption that mobile phones and the like are suitable for each.

By collating the information stored in the floor plan field 210 of the advertisement posting information DB 13B with the above-mentioned floor plan / contact means table, it is possible to estimate a suitable contact means for each customer.

FIG. 5D is a diagram showing an example of a square meter number / credit risk table. This square meter / credit risk table shows that if the number of square meters is less than 20 square meters, the credit risk is 1 (the lower the value, the higher the risk), and so on. It shows the correspondence with credit risk (default risk). This credit risk is stipulated based on the assumption that customers in residences with a large number of square meters have a low risk of defaulting on loans, etc., and customers in residences with a small number of square meters have a high risk.

The credit risk of each customer can be estimated by collating the information stored in the square meter number field 211 of the advertisement publication information DB 13B with the above-mentioned square meter number / credit risk table.

FIG. 5E is a diagram showing an example of a trading price / fraud risk table. In this sale price / fraud risk table, if the sale price is less than 10 million yen, the fraud risk is 1 (the lower the value, the higher the risk), and so on, the sale price of the real estate property and the resident. Shows how to deal with fraud risk. This fraud risk is based on the assumption that customers in residences with high selling prices are less likely to commit fraudulent acts when purchasing products, and customers in residences with low selling prices are likely to commit such fraudulent acts. It is stipulated. In addition, if the selling price is far from the market price, it is expected that the risk of fraud will be increased.

By collating the information stored in the value field 209 of the advertisement posting information DB 13B with the above-mentioned selling price / fraud risk table, the fraud risk of each customer can be estimated.

As described above, in the attribute correspondence information DB 13C, various attributes of the real estate property and various attributes of the resident are associated with each other. In addition to the above-mentioned rent, selling price, floor plan, and number of square meters, the attributes of the real estate property include structure, management cost, age, distance from the station, and the like. In addition to the above income level (an index of wealth), family structure, means of communication, credit risk, and fraud risk, the attributes of residents include age, gender, employment status, and asset level (wealthy). One index of degree) etc. can be mentioned. For example, a table showing the correspondence between the management cost of a real estate property and the employment status of a resident may be provided in the attribute correspondence information DB 13C, for example, a customer of a residence having a high management cost has a job. .. When the management fee or the like is used as an attribute of the real estate property in this way, the information such as the management fee needs to be stored in the advertisement posting information DB 13B.

[Operation of customer attribute estimation system]
Next, the operation of the customer attribute estimation system of the present embodiment configured as described above will be described with reference to a flowchart and the like. The main processes executed in the customer attribute estimation system of the present embodiment are (1) customer attribute estimation process for estimating customer attributes, and (2) for providing various information to the customer. There is information provision processing of. The details of each of these processes will be described below.

(1) Customer Attribute Estimating Process FIG. 6 is a flowchart showing a procedure of customer attribute estimation processing executed by the estimation device 1 according to the embodiment of the present invention. As shown in FIG. 6, the estimation device 1 first identifies the customer information to be processed by referring to the customer information DB 13A (S101). Next, the estimation device 1 acquires the customer's zip code and address from the specified customer information (S102), and searches the advertisement placement information from the advertisement placement information DB using the zip code and address as a key (S103). Here, the search is performed using both the postal code and the address information, but the search may be performed using only the address.

When the advertisement placement information is not searched as a result of the search in step S103 above, that is, when the advertisement placement information relating to the real estate property at the same address as the customer's address does not exist in the advertisement placement information DB 13B (in S104). NO), the estimation device 1 proceeds to step S110, which will be described later.

On the other hand, when the advertisement placement information is searched by the search in step S103 above, that is, when the advertisement placement information relating to the real estate property at the same address as the customer's address exists in the advertisement placement information DB 13B (YES in S104). ), The estimation device 1 identifies the attribute of the real estate property included in the advertisement posting information (S105). In the case of the present embodiment, each attribute stored in the value field 209, the floor plan field 210, the square meter number field 211, and the structure field 212 of the advertisement placement information DB 13B is specified.

Next, the estimation device 1 searches the attribute correspondence information DB 13C for the attribute correspondence information based on the attributes of the specified real estate property (S106). More specifically, the estimation device 1 refers to each table provided in the attribute correspondence information DB 13C, and extracts the attribute correspondence information including the attribute of the real estate property specified in step S105. Then, the estimation device 1 specifies the attribute of the resident shown in the extracted attribute correspondence information as the attribute of the customer (S107). For example, when the floor plan is specified as an attribute of the real estate property in step S105, the estimation device 1 has a family configuration associated with the floor plan in the floor plan / family configuration table and the floor plan / contact means table in the attribute correspondence information DB 13C. And the means of contact are specified as attributes of the customer. In step S107, the attributes of the customer are estimated.

Next, the estimation device 1 generates customer attribute estimation information including the customer attributes specified in step S107 (S108), and outputs a customer attribute display screen including the customer attribute estimation information to the display 15 (S109).

After that, the estimation device 1 determines whether or not all the customer information has been processed (S110), and if it is determined that there is customer information that has not been processed yet (NO in S110), the estimation device 1 returns to step S101. The subsequent processing is executed. On the other hand, when it is determined that all the customer information has been processed (YES in S110), the estimation device 1 ends the customer attribute estimation process.

FIG. 7 is a diagram showing an example of a customer attribute display screen displayed on the display 15 of the estimation device 1. As shown in FIG. 7, on the customer attribute display screen 1001, the customer ID and name for identifying the customer, and the attributes (address, telephone number, e-mail, etc.) specified in the customer information for the customer are displayed. In addition, the customer attributes identified in step S107, that is, the customer attributes estimated by the estimation device 1, are displayed. In the example shown in FIG. 7, income level, family structure, suitable means of communication, and credit risk are displayed as such estimated attributes, and “unknown” is displayed because the fraud risk could not be identified. ing.

The business operator can grasp the estimated customer attributes by referring to the customer attribute display screen 1001. These attributes can be utilized for marketing, risk management, etc. carried out by the business operator.

In the present embodiment, the attribute of the customer is estimated using the attribute correspondence information DB13C, but it is also possible to estimate the attribute of the customer without using the attribute correspondence information DB13C. For example, by using the posting start time and posting end time stored in the advertisement posting information DB 13B, it is possible to estimate the attributes of the customer such as the number of years of residence and whether or not there is a plan to move. More specifically, the estimation device 1 can estimate the number of years of residence of the customer by determining that the customer has started living at the current address after a predetermined period (for example, one month later) from the end of posting. it can. Further, the estimation device 1 can estimate that the customer is planning to move when the advertisement posting information stores only the posting start time and the posting end time is not stored.

(2) Information provision process The estimation device 1 executes the next information provision process using the customer attributes estimated by the customer attribute estimation process described above.
FIG. 8 is a flowchart showing a procedure of information providing processing executed by the estimation device 1. As shown in FIG. 8, the estimation device 1 first identifies the customer information to be processed by referring to the customer information DB 13A (S201).

Next, the estimation device 1 specifies advertising information regarding services / products determined according to the customer's income level and family composition estimated by the above customer attribute estimation process as information to be provided to the customer. (S202). More specifically, the estimation device 1 is an advertisement for services / products determined according to the income level (for example, if the income level is high, the high-priced service / product, if the income level is low, the low-priced service / product, etc.). Information and advertising information about services / products determined according to the family structure (for example, services / products for singles if the family structure is single, services / products for children if there are children, etc.) It is stored in the hard disk 13, and from the advertisement information, the one corresponding to the estimated income level and the family structure is specified.

As described above, in the present embodiment, the advertising information is specified based on both the income level of the customer and the family structure, but the present invention is not limited to this, and is based on only one of them. Advertising information may be generated.

Next, the estimation device 1 identifies a suitable contact means estimated by the above customer attribute estimation process (S203), and uses the contact means to provide the customer with the advertisement information specified in step S202. (S204). For example, when an e-mail is specified as a suitable communication means, the estimation device 1 sends a URL for referring to the advertisement information to the e-mail address included in the customer information by e-mail. Similarly, when the SNS is specified, the estimation device 1 transmits the URL to the SNS account included in the customer information. Each customer can obtain advertising information suitable for himself / herself by accessing the URL transmitted in this way using the customer terminal 2.

Further, when a fixed telephone or a mobile phone is specified as a suitable communication means, the estimation device 1 outputs information to the effect that the telephone number included in the customer information is to be contacted on the display 15. According to this information, the operator conveys the advertisement information to the customer by telephone, so that the provision of the advertisement information is completed. In addition, if mail is specified as a suitable means of communication, the assumed device 1 outputs information to the effect of contacting the address included in the customer information on the display 15. According to this information, the operator mails the material containing the advertisement information to the customer, and the provision of the advertisement information is completed.

As described above, in the case of the present embodiment, the attributes of each customer can be estimated by using the customer information and the real estate advertisement information. This customer information may be customer information about a customer in any industry as long as it includes the customer's address. Therefore, according to the present embodiment, it is possible to acquire the attributes of customers in various industries.

(Other embodiments)
In the above embodiment, the estimation device 1 acquires the attributes of each property by using the advertisement information of the real estate property, but the present invention is not limited to this, and is for performing various management of the real estate. The attributes of each property may be acquired using other information. For example, the real estate vacancy information indicating whether or not each real estate property is vacant may be used to acquire attributes such as the floor plan and the number of square meters.

Further, in the above embodiment, the estimation device 1 repeatedly accesses the real estate advertisement DB 3 at an appropriate timing to acquire information on the advertisement, but the present invention is not limited to this. For example, the estimation device 1 may access the real estate advertisement DB 3 and acquire information about the advertisement each time the customer attribute estimation process is executed. In that case, only the information related to the advertisement of the real estate property related to the customer to be processed may be acquired, or the information related to the advertisement of the unspecified number of real estate properties may be acquired.

Further, in the above embodiment, when the advertisement posting information relating to the real estate property at the same address as the customer's address does not exist in the advertisement posting information DB 13B, the attribute of the customer is not estimated, but the present invention. Is not limited to this. For example, even if the advertisement placement information is not registered for the same address as the customer's address, if the advertisement placement information related to the real estate property in the neighboring area within a predetermined distance from that address is registered, that is the case. The attribute of the customer may be estimated based on the advertisement placement information. Further, the estimation device 1 has information on the market price of the transaction price (buying and selling price or rent) for each predetermined area, and estimates the attribute of the customer by referring to the market price in the area to which the customer's address belongs. It is also possible to do it. The market price here is assumed to be the average value of the transaction prices of real estate properties in the area. In addition, the estimation device 1 has information indicating how much the transaction price in each area deviates from the average market price, and the attribute of the customer is estimated by using the information. You may do so.

Further, in the above embodiment, the estimation device 1 is provided on the specific business operator side, but the function of the estimation device 1 may be provided by an ASP (Application Service Provider). This makes it possible for a plurality of businesses to easily use the function.

In the above-described embodiment, the function of the estimation device 1 is realized by a single computer 1, but for example, the function of the estimation device 1 may be realized by a distributed system consisting of a plurality of computers, and various aspects may be used. is assumed.

The customer attribute estimation system and the customer attribute estimation method of the present invention are useful as systems and methods for estimating customer attributes in various businesses, respectively.

1 Estimator 2 Customer terminal 3 Real estate advertising database 10 CPU
11 ROM
12 RAM
13 Hard disk 13A Customer information database 13B Advertising information database 13C Attribute correspondence information database 14 Communication interface 15 Display 16 Bus 100 Communication network 1001 Customer attribute information screen

Claims (8)

From the real estate attribute information including the address and other attributes of each real estate property, the first acquisition department that acquires the real estate attribute information related to the customer's address, and
The second acquisition unit that acquires the attribute correspondence information related to the real estate attribute information acquired by the first acquisition unit from the attribute correspondence information in which the attributes of the real estate property and the attributes of the resident of the real estate property are associated with each other. When,
A customer attribute estimation system including a customer attribute estimation unit that estimates the customer's attributes based on the attribute correspondence information acquired by the second acquisition unit. The real estate attribute information is generated based on real estate advertisement information related to the rental or sale of each real estate property.
The customer attribute estimation system according to claim 1. In the attribute correspondence information, at least one of the selling price, rent, floor plan, and number of square meters of the real estate property is associated with the attribute of the resident of the real estate property.
The customer attribute estimation system according to claim 1 or 2. In the attribute correspondence information, the attribute of the real estate property is associated with at least one of the wealth and family composition of the resident of the real estate property.
The customer attribute estimation system according to any one of claims 1 to 3. In the attribute correspondence information, the attribute of the real estate property and the contact means suitable for contacting the resident of the real estate property are associated with each other.
The customer attribute estimation system according to any one of claims 1 to 4. In the attribute correspondence information, the attribute of the real estate property is associated with the risk information including at least one of the credit risk and the fraud risk of the resident of the real estate property.
The customer attribute estimation system according to any one of claims 1 to 5. Further provided with a providing unit that provides advertising information according to the customer's attribute estimated by the customer attribute estimating unit.
The customer attribute estimation system according to any one of claims 1 to 6. A step in which a computer acquires real estate attribute information related to a customer's address from real estate attribute information including the address and other attributes of each real estate property.
A step wherein the computer, to get out of the attribute and the real estate attribution information and resident attributes associated of real estate, the attribution information related to the acquired property attribute information,
A customer attribute estimation method in which the computer has a step of estimating the customer's attribute based on the acquired attribute correspondence information.

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