JP6349725B2 - Information processing apparatus, information processing method, and program - Google Patents

Description

  The present invention relates to an information processing technique for introducing insurance products.

  There are various techniques for appropriately grasping the needs or preferences of each customer and performing appropriate sales promotion activities.

  However, for introduction of insurance products, general methods are often used, and introduction methods that take into account the characteristics of insurance products have not been studied much.

JP 2005-346362 A Japanese Patent Laid-Open No. 09-160991 JP 2002-163544 A

  Accordingly, an object of the present invention, according to one aspect, is to provide a technique for introducing appropriate insurance products to customers.

  The information processing method according to the first aspect of the present invention specifies (A) a first product category to which a product stored as purchased by a customer belongs, and (B) matches the identified first product category. Or (C) including a process of transmitting information stored about the specified insurance product to the address of the customer.

  The information processing method according to the second aspect of the present invention includes: (A) a second product stored in association with a group to which a customer belongs in a first product category to which a product stored as purchased by a customer belongs. The product classification that matches the product classification is specified, and (B) the contract rate or the number of contracts among the insurance products stored that a plurality of customers belonging to the group stored in association with the specified product classification are contracted. It includes a process of identifying an insurance product that is equal to or greater than a predetermined value, and (C) transmitting information stored for the identified insurance product to the customer's address.

  According to one aspect, appropriate insurance products can be introduced to customers.

FIG. 1 is a diagram showing an overview of a system according to the first embodiment. FIG. 2 is a diagram illustrating an example of data stored in the product classification DB. FIG. 3 is a diagram illustrating an example of data stored in the purchase data storage unit. FIG. 4 is a diagram illustrating an example of data stored in the insurance contract DB. FIG. 5 is a diagram illustrating an example of data stored in the association data storage unit. FIG. 6 is a diagram illustrating a processing flow according to the first embodiment. FIG. 7 is a diagram illustrating an example of a mail transmitted in the first embodiment. FIG. 8 is a diagram illustrating an overview of a system according to the second embodiment. FIG. 9 is a diagram illustrating an example of data stored in the customer DB. FIG. 10 is a diagram illustrating an example of data stored in the purchase data storage unit according to the second embodiment. FIG. 11 is a diagram illustrating an example of data stored in the community management DB. FIG. 12 is a diagram illustrating an example of data stored in the insurance contract DB according to the second embodiment. FIG. 13 is a diagram illustrating an example of data stored in the introduction log storage unit. FIG. 14 is a diagram illustrating a processing flow according to the second embodiment. FIG. 15 is a diagram illustrating a processing flow according to the second embodiment. FIG. 16 is a diagram illustrating a processing flow according to the second embodiment. FIG. 17 is a diagram illustrating an example of a mail transmitted in the second embodiment. FIG. 18 is a functional block diagram of a computer.

[Embodiment 1]
An example of a system according to the present embodiment is shown in FIG. In the system according to the present embodiment, the information processing apparatus 100 that executes the main processing according to the present embodiment, the plurality of customer terminals 300, and the partner operator that is affiliated with the user of the information processing apparatus 100 Is connected to a network 200 such as the Internet.

  The information processing apparatus 100 includes a product classification database (DB) 110, a purchase data storage unit 120, an insurance contract DB 130, an association data storage unit 140, an extraction unit 150, a transmission unit 160, and an insurance introduction data storage unit. 170.

  An example of data stored in the product classification DB 110 is shown in FIG. In the example of FIG. 2, item names of products belonging to the product category are stored in association with each product category name.

  The purchase data storage unit 120 stores credit card usage history data acquired from the partner server 400 and purchase history data such as individual stores. For example, in the case of a credit card usage history, data as shown in FIG. 3 is stored in the purchase data storage unit 120. In the example of FIG. 3, data about a certain customer is represented, and a credit card usage date, purchased product name, usage store, and usage amount are stored.

  In the insurance contract DB 130, as shown in FIG. 4, the contractor name, the credit card number, the contact e-mail address, the contracted insurance product name, the contract date, the insured person, and the insurance money The recipient name is stored. In addition to the insurance contract DB 130, a customer DB that stores data on customers and potential customers may be managed.

  The association data storage unit 140 stores association data obtained as a result of analyzing in advance usage history and purchase history and insurance products for which a contract has been made. Specifically, the name of the insurance product found to be related to the product classification of the purchased product and the product classification are stored in association with each other. The data stored in the association data storage unit 140 may be generated by any method, and may be generated based on human knowledge. As shown in FIG. 5, the association data storage unit 140 associates student insurance with childcare items, or associates hole-in-one insurance with golf items.

  The insurance introduction data storage unit 170 stores introduction data for each insurance.

  The extraction unit 150 performs the process described below to identify insurance products to be introduced for each customer. The transmission unit 160 transmits an email including insurance product introduction data to the customer.

  The customer terminal 300 is a personal computer, a mobile phone, a smartphone, a tablet or the like operated by a customer of an insurance company or a potential customer.

  The partner server 400 communicates with the information processing apparatus 100 via the network 200. For example, the credit card usage history data and the purchase history of other partner companies are periodically or at an arbitrary timing. Data is transmitted to the information processing apparatus 100. When the information processing apparatus 100 receives data from the partner server 400, the information processing apparatus 100 stores the data in the purchase data storage unit 120.

  Next, processing contents of the information processing apparatus 100 will be described with reference to FIGS. 6 and 7. First, the extraction unit 150 identifies one unprocessed customer in the insurance contract DB 130 (FIG. 6: Step S1). As described above, when a customer DB is prepared separately, an unprocessed customer may be specified from the customer DB.

  Then, the extracting unit 150 extracts the data of the specified customer's purchased products, for example, for the latest one month from the purchase data storage unit 120 and stores it in a storage device such as a main memory (step S3). In the example of FIG. 4, when “Jiro Sato” is identified as an unprocessed customer, the data of FIG. 3 is extracted. If the purchased product data cannot be extracted, the process proceeds to step S15.

  Furthermore, the extraction unit 150 identifies the product classification of the purchased product for each extracted purchased product from the product classification DB 110 (FIG. 2) (step S5). A different product category may be specified for each purchased product, or one product category may be specified for a plurality of purchased products. When the same product category is specified, the following processing is performed as one product category. For example, in the case of the example of data shown in FIG. 3, it is assumed that the electrical appliance is specified for the video camera, the food item is specified for the food item, and the childcare item is specified for the child seat.

  And the extraction part 150 extracts the insurance product matched with the same or similar goods classification as the specified goods classification from the matching data storage part 140 (FIG. 5) (step S7). In the example described above, there is no insurance product associated with electrical appliances and food products, but “student insurance” is associated with childcare items, and school insurance is extracted. For each product category, a similar product category is defined in advance, and if nothing is extracted from FIG. 5, insurance products associated with the product category similar to the specified product category are extracted. You may make it do. If no insurance product is extracted in this step, the process proceeds to step S15.

  And the extraction part 150 confirms that the identified customer has not contracted the said insurance product about the extracted insurance product (step S9). The insurance contract DB 130 is searched for the contractor name of the identified customer, and it is determined whether the extracted insurance product has been contracted, that is, whether the insurance product is registered. If registered, it is determined that the contract has been made.

  If the contract has been made, there is a problem in introducing the extracted insurance product again, so the process proceeds to step S15. On the other hand, if the extracted insurance product is not contracted, the extraction unit 150 outputs the data of the identified customer and the extracted insurance contract to the transmission unit 160.

  The transmission unit 160 reads the address of the transmission destination for the identified customer from the insurance contract DB 130, reads the introduction data of the extracted insurance product from the insurance introduction data storage unit 170, and introduces the insurance product to the read address. Data is transmitted by e-mail, for example (step S13). For example, a mail as shown in FIG. 7 is transmitted to the customer. In the example of FIG. 7, “Student Insurance” is introduced to “Jiro Sato”. The customer operates the customer terminal 300 to receive such an email and confirm the content.

  And the extraction part 150 judges whether an unprocessed customer exists, for example in insurance contract DB130 (step S15). If there is an unprocessed customer, the process returns to step S1. On the other hand, if there is no unprocessed customer, the process ends.

  As described above, if the relationship between the insurance products contracted by other customers and the purchase trends of general products by the other customers before and after the contract is extracted as a rule, from the purchase trends of customers and potential customers, This makes it possible to extract insurance products that are more favorable for the customer and to make efficient advertisements.

[Embodiment 2]
In the present embodiment, it is possible to introduce an appropriate insurance product in consideration of the community or group to which the customer belongs in addition to the purchase trend of the customer.

  A configuration example of the system according to the present embodiment is shown in FIG. In the system according to the present embodiment, an information processing apparatus 1100 that executes main processing according to the present embodiment, a plurality of customer terminals 300, and a partner server 400 are connected to a network 200.

  The information processing apparatus 1100 includes a customer DB 1110, a purchase data storage unit 1120, a product classification DB 1130, an association data storage unit 1140, a community management DB 1150, an insurance contract DB 1160, an introduction log storage unit 1170, and insurance introduction data. A storage unit 1180, an extraction unit 1190, and a transmission unit 1200 are included.

  The customer DB 1110 stores customer data to be processed. For example, the customer DB 1110 stores data as shown in FIG. In the example of FIG. 9, a customer identifier (ID), a customer name, a credit card number, and a contact mail address are stored.

  The purchase data storage unit 1120 stores, for example, data obtained from the partner server 400 used by the partner credit card company. For example, data as shown in FIG. 10 is stored. In the example of FIG. 10, for example, purchase data of “Sakura Sakura” shown in FIG. 9 is shown, which includes a credit card usage date, a purchased product name, a usage store, and a usage amount.

  The merchandise category DB 1130 stores, for example, data similar to the merchandise category DB 110 (FIG. 2) shown in the first embodiment.

  The association data storage unit 1140 stores, for example, data similar to the association data storage unit 140 (FIG. 5) in the first embodiment.

  The community management DB 1150 stores, for example, community data to which the customer belongs. For example, as shown in FIG. 11, the community name, the outline of the community, the customer ID of the participant, and the related product classification are stored. In the present embodiment, the community in which the customer participates represents the characteristics of the customer including the customer's interest and the like, and is characterized by the product classification of the products related to the customer's interest and the like.

  In the present embodiment, the insurance contract DB 1160 stores data as shown in FIG. 12, for example. In the example of FIG. 12, the customer ID, the name of the insurance product for which the customer has been contracted, the contract date, the insured person name, and the recipient name are stored.

  The introduction log storage unit 1170 accumulates a log indicating that the introduction data of insurance products has been transmitted. Specifically, as shown in FIG. 13, the introduction date, the introduction destination customer ID, and the introduced insurance product name are stored.

  The insurance introduction data storage unit 1180 stores the same data as the insurance introduction data storage unit 170 in the first embodiment, for example. That is, data for introduction is stored for each insurance.

  The extraction unit 1190 performs the process described below, and specifies insurance products to be introduced for each customer. The transmission unit 1200 transmits an email including insurance product introduction data to the customer.

  The customer terminal 300 is a personal computer, a mobile phone, a smartphone, a tablet or the like operated by a customer of an insurance company or a potential customer.

  The partner server 400 communicates with the information processing apparatus 1100 via the network 200. For example, credit card usage history data or purchase history of other partner companies periodically or at any timing. Data is transmitted to the information processing apparatus 1100. When the information processing apparatus 1100 receives data from the partner server 400, the information processing apparatus 1100 stores the data in the purchase data storage unit 1120.

  Next, processing contents of the information processing apparatus 1100 according to the present embodiment will be described with reference to FIGS. 14 to 17.

  The extraction unit 1190 extracts one unprocessed customer ID from the customer IDs registered in the customer DB 1110 (FIG. 14: step S21).

  Further, the extraction unit 1190 acquires a purchase product name for the extracted customer ID from the purchase data storage unit 1120 (step S23). For example, in the example of FIG. 10, a fan, a towel, and a child seat are read out. Note that the purchase product name is read from, for example, data accumulated after the previous execution of this process. For example, when this process is executed at a cycle of one month, data accumulated for one month is used.

  Then, the extraction unit 1190 acquires the first product category of the acquired purchased product name from the product category DB 1130 (step S25). In the above example, it is assumed that the electric appliance is specified for the electric fan, the daily necessities are specified for the towels, and the childcare items are specified for the child seats.

  Thereafter, the extraction unit 1190 determines whether or not the acquired first product classification is associated with the insurance product in the association data storage unit 1140 (step S27). In the example of FIG. 5, childcare items are associated with student insurance.

  If none of the acquired first product classification is associated with the insurance product (step S29: No route), the process proceeds to the process of FIG.

  On the other hand, when at least one of the acquired first product categories is associated with the insurance product (step S29: Yes route), the extraction unit 1190 displays the insurance associated with the first product category. The name of the product is acquired and stored in a storage device such as a main memory (step S31).

  Further, the extraction unit 1190 searches the community management DB 1150 with the customer ID extracted in step S21, and determines whether there is a community to which the customer with the extracted customer ID belongs (step S33). If there is no community to which the customer with the extracted customer ID belongs (step S35: No route), the processing shifts to the processing in FIG. On the other hand, if there is a community (step S35: Yes route), the process proceeds to the process of FIG.

  Shifting to the description of the processing in FIG. 15, the extraction unit 1190 acquires, from the community management DB 1150, the second product category related to the community to which the customer with the extracted customer ID belongs (step S37). In the case of “Sakura Sakura”, in the example of FIG. 11, it belongs to the “childcare” community, and the second product category of childcare items is specified.

  Then, the extraction unit 1190 determines whether the second product category has the same product category as the first product category (step S39). If the second product category does not have the same product category as the first product category (step S41: No route), the process proceeds to the process of FIG.

  On the other hand, when the same product category as the first product category exists in the second product category (step S41: Yes route), the extraction unit 1190 associates the product category with the community management DB 1150. The customer ID of another affiliated customer of the affiliated community is read (step S43). Here, the total number of customer IDs is counted for each community. Then, the extraction unit 1190 reads the insurance product contracted by the other read customer ID from the insurance contract DB 1160 (step S45).

  Further, the extraction unit 1190 reads, from the insurance contract DB 1160, the customer ID and contract date of the customer who contracts the related insurance product acquired in step S31 among the read insurance products (step S47). Since the related insurance product is “Student Insurance” in the above example, “Yamada Shizuka” satisfies the condition in the example of FIG. 12, and the contract date “2013.10.20” is obtained. In step S47, the number of customers contracting the related insurance product acquired in step S31 is also counted.

  Then, the extraction unit 1190 counts the number of people contracted within a predetermined period (for example, within 3 months) from the present (processing time) (referred to as the most recent contracted number) (step S49). The predetermined period may be set longer or shorter depending on the nature of the community. The latest contract trend can be confirmed by such the latest contract number. Thereafter, the processing shifts to the processing in FIG.

  Moving to the description of the processing in FIG. 16, the extraction unit 1190 determines whether there is an insurance product in which the number of customer IDs counted in step S47 is equal to or greater than a threshold (step S51). For example, it may be determined whether or not the number of customers counted in step S47 with respect to the number of community members is equal to or greater than a predetermined ratio. Conditions may be attached to the number of the latest contracts. In this step, it is determined whether the insurance product is widespread in the community. When a plurality of insurance products are extracted, it is determined whether any insurance product satisfies the condition.

  If the condition of step S51 is not satisfied, the process proceeds to step S65. On the other hand, when the condition of step S51 is satisfied, the extraction unit 1190 determines from the insurance contract DB 1160 whether the customer with the extracted customer ID has already contracted the insurance product that satisfies the condition of step S51. (Step S53). This is because if you have already contracted, you will not re-contract.

  If the contract has been made (step S55: Yes route), the process proceeds to step S65. On the other hand, if the contract has not been made (step S55: No route), the extraction unit 1190 obtains the same insurance product for the acquired customer ID within the second predetermined period (for example, two months) from the present (processing time). It is determined from the introduction log storage unit 1170 whether or not the customer is introduced (step S57). It is determined whether or not an introduction log having an introduction date within a second predetermined period from the present has been registered. When a plurality of insurance products are extracted, it is determined whether or not this condition is satisfied for each insurance product.

  If it has been introduced within the second predetermined period from now (step S59: Yes route), the process proceeds to step S65. On the other hand, if not introduced from the present within the second predetermined period (step S59: No route), the extraction unit 1190 reads the contact email address of the customer ID extracted in step S21 from the customer DB 1110, The introduction data of the unintroduced insurance product is read from the introduction data storage unit 1180, and is transmitted to the transmission unit 1200 together with auxiliary data including the community, the number of people belonging to the community, the number of contracted persons, the number of contracted persons (or the ratio), etc. Output.

  Then, the transmission unit 1200 transmits an email including introduction data and auxiliary data of unintroduced insurance products to the contact email address (step S61). For example, a mail as shown in FIG. 17 is transmitted. Although it is basically the same as the contents of the mail shown in FIG. 7, auxiliary data 1710 is added. In the example of FIG. 17, not only the community name and the latest contracted number of people “12”, but also the number of customers (“45”) counted in step S47 and the number of people belonging to the community (“210” name) are also included. This is presented as auxiliary data.

  Then, the transmission unit 1200 registers an introduction log including the transmission date (introduction date), the introduction customer ID, and the name of the introduced insurance product in the introduction log storage unit 1170 (step S63). This prevents frequent introduction of the same insurance product.

  Thereafter, the extraction unit 1190 determines whether there is an unprocessed customer in the customer DB 1110 (step S65). If there is an unprocessed customer, the process returns to step S21 in FIG. On the other hand, if there is no unprocessed customer, the process ends.

  By performing the above processing, out of the insurance products related to the customer's purchased products, the insurance products that are prevailing to a certain extent in the group associated with the purchased product among the groups to which the customer belongs (that is, the community) Can be introduced to the customer. In this way, when a product that is highly compatible with the characteristics of the group to which the customer belongs is purchased, the insurance product associated with the product classification of the product is introduced to the customer, so that efficient advertisement can be made. become.

  Although the embodiments of the present invention have been described above, the present invention is not limited to these. For example, as for the processing flow, as long as the processing result does not change, the processing order may be changed or executed in parallel. The functional block configuration and the data storage unit configuration can be arbitrarily changed in order to realize the same function.

  The information processing apparatuses 100 and 1100, the customer terminal 300, and the partner server 400 described above are computer apparatuses, and as shown in FIG. 18, a memory 2501, a CPU (Central Processing Unit) 2503, a hard disk drive, and the like. A bus 2519 includes an HDD (Hard Disk Drive) 2505, a display control unit 2507 connected to the display device 2509, a drive device 2513 for the removable disk 2511, an input device 2515, and a communication control unit 2517 for connecting to a network. It is connected. An operating system (OS) and an application program for executing the processing in this embodiment are stored in the HDD 2505, and are read from the HDD 2505 to the memory 2501 when executed by the CPU 2503. The CPU 2503 controls the display control unit 2507, the communication control unit 2517, and the drive device 2513 according to the processing content of the application program, and performs a predetermined operation. Further, data in the middle of processing is mainly stored in the memory 2501, but may be stored in the HDD 2505. In an embodiment of the present technology, an application program for performing the above-described processing is stored in a computer-readable removable disk 2511 and distributed, and installed from the drive device 2513 to the HDD 2505. In some cases, the HDD 2505 may be installed via a network such as the Internet and the communication control unit 2517. Such a computer apparatus realizes various functions as described above by organically cooperating hardware such as the CPU 2503 and the memory 2501 described above and programs such as the OS and application programs. .

  The above-described embodiment can be summarized as follows.

  The information processing method according to the first aspect of the present embodiment specifies (A) a first product category to which a product stored as purchased by a customer belongs, and (B) a specified first product category. And (C) processing for transmitting information stored about the identified insurance product to the customer.

  As described above, some product categories of general products represent the life stages and lifestyles of customers who purchase products belonging to the product categories. There are insurance products for which contracts are preferable in terms of life stages and lifestyles. If such association (or association) is extracted, an effective advertisement can be performed by performing the processing described above.

  The process for identifying the insurance product described above is associated with the product category that matches the identified first product category from the data storage unit that stores data representing the association between the product category and the insurance product. A process for extracting existing insurance products may be included. If data representing the correspondence is prepared in advance, insurance products to be introduced to customers can be easily obtained.

  In the information processing method according to the second aspect of the present embodiment, (A) the first product classification to which the product stored that the customer has purchased belongs to the group stored in association with the group to which the customer belongs. (B) A contract rate or a contract among insurance products stored that a plurality of customers belonging to a group stored in association with the specified product classification are contracted. It includes a process of identifying an insurance product whose number is equal to or greater than a predetermined value, and (C) transmitting information stored about the identified insurance product to a customer.

  Not only the purchase history of general merchandise but also the group to which the customer belongs represents the life stage and lifestyle of the customer. By combining the two, it is possible to extract more appropriate insurance products.

  The processing for specifying the product category described above may include processing for limiting the product category to which the product stored as purchased by the customer belongs to the product category stored in association with the insurance product. This is to reduce the processing load.

  The process for specifying the insurance product described above is stored when a plurality of customers belonging to the group stored in association with the specified product classification are contracted, except for the insurance product for which the customer is stored as contracted. A process for specifying an insurance product in which the contract rate or the number of contracts is equal to or greater than a predetermined value may be included. This is because the contracted insurance product is not contracted again.

  Further, the insurance product stored as having been specified in the second predetermined period may be excluded from the process of specifying the insurance product described above. This is because reintroducing insurance products that have recently been advertised may cause discomfort to customers.

  Furthermore, the process of transmitting to the customer described above may include a process of transmitting the information and the contract rate or the number of contracts of the specified insurance product to the customer. In this way, the customer can know the degree of spread of insurance products in the group to which the customer belongs.

  Furthermore, the information processing method according to the second aspect may further include a process of counting the number of customers contracted within a third predetermined period among a plurality of customers belonging to the group for the specified insurance product. In this case, the process of transmitting to the customer described above may include a process of transmitting data on the number of customers to the customer. You will also be able to know recent trends.

  Note that a program for causing a computer to execute the processing described above can be created, and the program includes, for example, a flexible disk, an optical disk such as a CD-ROM, a magneto-optical disk, and a semiconductor memory (for example, ROM). Or a computer-readable storage medium such as a hard disk or a storage device. Note that data being processed is temporarily stored in a storage device such as a RAM.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Appendix 1)
Identify the first product category to which the product stored as purchased by the customer belongs,
Identifying an insurance product associated with a second product category that matches or is similar to the identified first product category;
The program for making a computer perform the process which transmits the information memorize | stored about the specified said insurance product to the said customer's address.

(Appendix 2)
The process of identifying the insurance product is
Supplementary Note 1 including a process of extracting an insurance product associated with a product category that matches the identified first product category from a data storage unit that stores data representing a correspondence between the product category and the insurance product The listed program.

(Appendix 3)
Identifying a product category that matches a second product category stored in association with a group to which a plurality of customers including the customer belong, among the first product categories to which the product stored as purchased by the customer belongs,
Identify insurance products whose contract rate or number of contracts is equal to or greater than a predetermined value among insurance products stored as contracted by a plurality of customers belonging to the group stored in association with the specified product classification,
The program for making a computer perform the process which transmits the information memorize | stored about the specified said insurance product to the said customer's address.

(Appendix 4)
The process of identifying the product category is
The program according to appendix 1, including a process of limiting a product category to which a product stored as purchased by the customer belongs to a product category stored in association with an insurance product.

(Appendix 5)
The process of identifying the insurance product is
With the exception of insurance products that are stored as contracted by the customer, the contract rate or number of contracts among the insurance products that are stored as contracted by a plurality of customers that belong to the group stored in association with the specified product category The program according to supplementary notes 3 or 4, including a process for identifying an insurance product having a value equal to or greater than a predetermined value.

(Appendix 6)
The process of identifying the insurance product is
The program according to appendix 5, including a process of excluding an insurance product stored as having already been specified within a second predetermined period.

(Appendix 7)
The process of sending to the customer address is
The program according to any one of appendices 3 to 6, further comprising a process of transmitting the information and data on a contract rate or the number of contracts of the identified insurance product to the address of the customer.

(Appendix 8)
For the identified insurance product, the computer further executes a process of counting the number of customers contracted within a third predetermined period among a plurality of customers belonging to the group,
The program according to claim 7, wherein the process of transmitting to the customer includes a process of further transmitting data of the number of customers to the address of the customer.

(Appendix 9)
Identify the first product category to which the product stored as purchased by the customer belongs,
Identifying an insurance product associated with a second product category that matches or is similar to the identified first product category;
An information processing method executed by a computer, including a process of transmitting information stored for the specified insurance product to the address of the customer.

(Appendix 10)
An extraction unit that identifies a first product category to which a product stored as purchased by a customer belongs, and extracts an insurance product associated with a second product category that matches or is similar to the identified first product category When,
A transmission unit that transmits information stored about the extracted insurance product to the address of the customer;
An information processing apparatus.

(Appendix 11)
Identifying a product category that matches a second product category stored in association with the group to which the customer belongs, among the first product categories to which the product stored as purchased by the customer belongs,
Identify insurance products whose contract rate or number of contracts is equal to or greater than a predetermined value among insurance products stored as contracted by a plurality of customers belonging to the group stored in association with the specified product classification,
An information processing method executed by a computer, including a process of transmitting information stored for the specified insurance product to the address of the customer.

(Appendix 12)
Among the first product categories to which the products stored as purchased by the customer belong, the product categories matching the second product category stored in association with the group to which the customer belongs are specified, and the specified product category A specific unit for identifying an insurance product in which the contract rate or the number of contracts is equal to or greater than a predetermined value among the insurance products stored as contracted by a plurality of customers belonging to the group stored in association with
A transmission unit that transmits information stored about the identified insurance product to the address of the customer;
An information processing apparatus.

100, 1100 Information processing apparatus 110, 1130 Product classification DB
120, 1120 Purchase data storage unit 130, 1160 Insurance contract DB
140, 1140 Association data storage unit 150, 1190 Extraction unit 160, 1200 Transmission unit 170, 1180 Insurance introduction data storage unit 200 Network 300 Customer terminal 400 Partner server 1170 Introduction log storage unit 1110 Customer DB
1150 Community Management DB

Claims (7)

Identifying a product category that matches a second product category stored in association with a group to which a plurality of customers including the customer belong, among the first product categories to which the product stored as purchased by the customer belongs,
Identify an insurance product in which the contract rate or the number of contracts exceeds a predetermined value among the insurance products stored as contracted by a plurality of customers belonging to the group stored in association with the identified product classification,
The program for making a computer perform the process which transmits the information memorize | stored about the specified said insurance product to the said customer's address. The process of identifying the insurance product is
Except for insurance products that are stored as contracted by the customer, contract rates or contracts among insurance products that are stored as contracted by a plurality of customers that belong to the group stored in association with the specified product classification claim 1, wherein the program number comprises a process for specifying the insurance products equal to or greater than a predetermined value. The process of identifying the insurance product is
The program according to claim 2 , further comprising a process of excluding an insurance product stored as having been specified within the first predetermined period. The process of sending to the customer address is
The program according to any one of claims 1 to 3 , further comprising a process of transmitting the information and data on a contract rate or a contract number of the identified insurance product to the address of the customer. For the identified insurance product, the computer further executes a process of counting the number of customers contracted within a second predetermined period among a plurality of customers belonging to the group,
The program according to claim 4 , wherein the process of transmitting to the customer includes a process of further transmitting data of the number of customers to the address of the customer. Identifying a product category that matches a second product category stored in association with the group to which the customer belongs, among the first product categories to which the product stored as purchased by the customer belongs,
Identify an insurance product in which the contract rate or the number of contracts exceeds a predetermined value among the insurance products stored as contracted by a plurality of customers belonging to the group stored in association with the identified product classification,
An information processing method executed by a computer, including a process of transmitting information stored for the specified insurance product to the address of the customer. Among the first product categories to which the product stored as purchased by the customer belongs, the product category that matches the second product category stored in association with the group to which the customer belongs is specified, and the specified product A specific unit for identifying an insurance product in which a contract rate or the number of contracts is equal to or greater than a predetermined value among insurance products stored as contracted by a plurality of customers belonging to a group stored in association with a classification;
A transmission unit that transmits information stored about the identified insurance product to the address of the customer;
An information processing apparatus.

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