Approach Destination Extraction Device

Abstract

When attempting to conduct sales promotion activities for products and services, focus on the characteristics of those products and services to extract an approach target that can expect a high cost-effectiveness. 【Solution means】 A purchase information storage means for associating and storing user identification information and first feature information representing the characteristics of purchased products, a target element reception means for receiving second feature information representing the characteristics of a single product targeted for a sales promotion measure, and a target extraction means for extracting the user identification information for identifying a user who has purchased the purchased product having the same first feature information as the second feature information, characterized by comprising.

Description

Technical Field

[0001] It relates to a technology for efficiently implementing sales promotion measures.

Background Art

[0002] An operator can obtain profits by selling products or providing services to customers, and the business can become sustainable. Therefore, the operator will be concerned about how to increase profit opportunities.

[0003] Under such circumstances, there is an idea of increasing loyalty to the company and increasing profit opportunities by giving benefits to customers. For example, in Patent Document 1, when a user of a terminal device is determined to be a candidate extracted based on preset user attributes, a privilege granting system is proposed that transmits notification information including a link to a campaign screen showing a campaign guide to the terminal device.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, since it also costs money to carry out sales promotion measures for customers, in the above-mentioned conventional technology, there is a problem that if sales promotion measures are carried out blindly based on a customer database, a huge cost burden will occur.

[0006] Therefore, in view of the above problems, an object of the present invention is to provide an approach destination extraction device that extracts an approach destination with high cost-effectiveness by focusing on the characteristics of the product or service when conducting sales promotion activities for the product or service.

Means for Solving the Problems

[0007] One form of the approach destination extraction device to be disclosed associates user identification information with first feature information representing features of purchased goods and stores them in purchase information storage means. Target element reception means receives second feature information representing features of a certain product targeted for a sales promotion measure. Target extraction means extracts the user identification information that identifies the user who has purchased the purchased goods having the same first feature information as the second feature information. It is characterized by having these. Regarding complexes Regarding complexes

Advantages of the Invention

[0008] When attempting to conduct sales promotion activities for products and services, the disclosed approach destination extraction device focuses on the features of those products and services and extracts approach destinations with high cost-effectiveness.

Brief Description of the Drawings

[0009]

Figure 1

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Embodiments for Carrying Out the Invention

[0010] Embodiments for carrying out the present invention will be described with reference to the drawings.​​ (Operating Principle of Approach Destination Extraction Device According to this Embodiment)

[0011] Using FIGS. 1 to 4, the operating principle of the approach destination extraction device 100 according to this embodiment (hereinafter simply referred to as "this device") will be described. FIG. 1 is a diagram showing the connection relationship between this device 100 and other devices, and FIG. 2 is a functional block diagram of this device 100.

[0012] As shown in FIG. 1, this device 100 is connected to the store terminal 280 via the communication network 270. The communication network 270 can be either in a wired form or a wireless form. The store terminal 280 is a device that notifies this device 100 of the sales status and inventory status of the products sold in the store (including virtual stores), and for example, it may be a POS (Point of Sales) system. Note that the product in the description according to the present invention is a concept including services. As shown in FIG. 2, this device 100 includes a purchase information storage means 110, a similar range storage means 120, a target element reception means 130, and a target extraction means 140.

[0013] The purchase information storage means 110 stores in association with each other the user identification information 220 for identifying the user (customer) 210, the purchased product 230, and the first feature information 240 representing the features of the purchased product 230. Note that the purchased product 230 is a concept including the purchased service. The first feature information 240 is information representing the features of the purchased product 230, such as the type, function, formulation, and additive of the product.

[0014] FIG. 3 is a diagram showing an example of the purchase information storage means 110. As shown in FIG. 3, the purchase information storage means 110 stores, for example, the user identification information 220: A, the purchased product 230: laundry detergent, and the first feature information 240: powder detergent, aqua fragrance, containing bleach, new enzyme formulation,... in association with each other. Note that the purchased product 230 can also be regarded as a form of the first feature information 240.

[0015] The similar range storage means 120 stores, in association, one first feature information 240 and other first feature information 240 defined as being similar to the one first feature information 240. The similar range storage means 120 stores information defining the similar range of the first feature information 240.

[0016] FIG. 4 is a diagram showing an example of the similar range storage means 120. As shown in FIG. 4, the similar range storage means 120 stores, in association, for example, a purchased product 230 (first feature information 240) of "laundry detergent" and first feature information 240 of "powder detergent", "liquid detergent", and "gel ball detergent". This means that the purchased product 230 (first feature information 240) of "laundry detergent" is defined as being similar to the first feature information 240 of "powder detergent", "liquid detergent", and "gel ball detergent".

[0017] Also, the similar range storage means 120 stores, in association, for example, first feature information 240 of "liquid detergent" and first feature information 240 of "gel ball detergent". This is an example in which one first feature information 240 and other first feature information 240 defined as being similar to the one first feature information 240 are defined in a one-to-one relationship.

[0018] Also, the similar range storage means 120 stores, in association, for example, one first feature information 240 of "flower fragrance" and two first feature information 240 of "aqua fragrance" and "citrus fragrance". This is an example in which one first feature information 240 and other first feature information 240 defined as being similar to the one first feature information 240 are defined in a one-to-many relationship.

[0019] The target element reception means 130 receives second feature information 260 representing the features of the product 250 targeted by the sales promotion measure. Note that the second feature information 260 is information with the same content-specifying rules as the first feature information 240, and is, for example, information representing the features of the product 250 such as the type, function, formulation, and additives of the product. In the examples of FIGS. 3 and 4, the second feature information 260 is information such as "powder detergent", "liquid detergent", "gel ball detergent", "flower fragrance", "aqua fragrance", and "citrus fragrance".

[0020] The target extraction means 140 extracts user identification information 220 for identifying the user 210 who has purchased the purchased product 230 having the same first feature information 240 as the second feature information 260 from the purchase information storage means 110.

[0021] As shown in FIG. 3, when the second feature information 260 is "with bleach", the target extraction means 140 extracts the user identification information 220: "A" for identifying the user 210 who has purchased the purchased product 230 having the first feature information 240: "with bleach" as a feature. Also, when the second feature information 260 is "new enzyme formulation", the target extraction means 140 extracts the user identification information 220: "A", "B", "C", "E", "F" for identifying the user 210 who has purchased the purchased product 230 having the first feature information 240: "new enzyme formulation" as a feature.

[0022] Furthermore, the target extraction means 140 extracts user identification information 220 for identifying the user 210 who has purchased the purchased product 230 having the first feature information 240 similar to the second feature information 260 from the purchase information storage means 110. Note that the first feature information 240 in the similar relationship is defined in the similar range storage means 120.

[0023] Therefore, the target extraction means 140 extracts user identification information 220 for identifying a user 210 who has purchased a purchased product 230 characterized by other first feature information 240 associated with one piece of first feature information 240 identical to the second feature information 260 in the similar range storage means 120. By this process, it is possible to secure both the quantity and the quality (the fact that a high response rate can be expected) of the approach target in the sales promotion activity.

[0024] As shown in FIGS. 3 and 4, when the second feature information 260 is "liquid detergent", the first feature information 240 similar to this is "gel ball detergent". Therefore, when the second feature information 260 is "liquid detergent", the target extraction means 140 extracts user identification information 220: "C", "E" for identifying a user 210 who has purchased a purchased product 230 characterized by the first feature information 240: "gel ball detergent".

[0025] Similarly, when the second feature information 260 is "flower fragrance", the first feature information 240 similar to this is "aqua fragrance", "citrus fragrance". Therefore, when the second feature information 260 is "flower fragrance", the target extraction means 140 extracts user identification information 220: "A", "B", "C" for identifying a user 210 who has purchased a purchased product 230 characterized by the first feature information 240: "aqua fragrance", "citrus fragrance".

[0026] Further, the target extraction means 140 may also extract user identification information 220 for identifying a user 210 who has purchased a predetermined number or more of purchased products 230 characterized by first feature information 240 identical or similar to the second feature information 260. By this process, it is possible to extract an approach target with a high expected response rate in the sales promotion activity.

[0027] Note that the first feature information 240 similar to the second feature information 260 is other first feature information 240 associated with one piece of first feature information 240 identical to the second feature information 260 in the similar range storage means 120.

[0028] Also, assume that there are multiple pieces of second feature information 260. In that case, the target extraction means 140 may extract user identification information 220 for identifying a user 210 who has purchased a purchased product 230 that also has first feature information 240 identical or similar to each piece of second feature information 260. By this process, it is possible to extract an approach target with a high expected response rate in the sales promotion activity.

[0029] As shown in FIGS. 3 and 4, when the second feature information 260 is "liquid detergent" and "floral fragrance", the first feature information 240 similar thereto is "gel ball detergent", "aqua fragrance", and "citrus fragrance", respectively. Therefore, when the second feature information 260 is "liquid detergent" and "floral fragrance", the target extraction means 140 extracts user identification information 220: "B", "C", "F" of a user 210 who has purchased a purchased product 230 that features first feature information 240: "liquid detergent" or "gel ball detergent" and also features "floral fragrance", "aqua fragrance", or "citrus fragrance".

[0030] Based on the above operating principle, when the apparatus 100 attempts to promote the sales of a product / service 250, it can extract an approach target 220 with high cost-effectiveness by focusing on the features of the product / service 250. (Hardware Configuration of the Approach Target Extraction Apparatus According to the Present Embodiment)

[0031] Using FIG. 5, a hardware configuration example of the apparatus 100 will be described. FIG. 5 is a diagram showing an example of the hardware configuration of the apparatus 100. As shown in FIG. 5, the apparatus 100 includes a CPU (Central Processing Unit) 510, a ROM (Read-Only Memory) 520, a RAM (Random Access Memory) 530, an auxiliary storage device 540, a communication I / F 550, an input device 560, a display device 570, and a storage medium I / F 580.

[0032] The CPU 510 is a device that executes programs stored in the ROM 520, performs arithmetic processing on the data developed (loaded) into the RAM 530 according to the instructions of the programs, and controls the entire device 100. The ROM 520 stores the programs and data executed by the CPU 510. The RAM 530 is where the programs and data to be executed are developed (loaded) when the CPU 510 executes the programs stored in the ROM 520, and temporarily holds the arithmetic data during the arithmetic operations.

[0033] The auxiliary storage device 540 is a device that stores the OS (Operating System), which is basic software, and application programs according to this embodiment, together with related data. For example, it may be configured to include a purchase information storage means 110 and a similar range storage means 120. The auxiliary storage device 540 is, for example, an HDD (Hard Disk Drive) or a flash memory.

[0034] The communication I / F 550 is an interface for connecting to a communication network 270 such as a wired / wireless LAN (Local Area Network) or the Internet, and for exchanging data with other devices (such as a POS system) 280 that provide a communication function.

[0035] The input device 560 is a device for inputting data to the device 100, such as a keyboard. The display device (output device) 570 is a device composed of an LCD (Liquid Crystal Display) or the like, and functions as a user interface when the user uses the functions of the device 100 or when making various settings. The storage medium I / F 580 is an interface for transmitting and receiving data with a storage medium 590 such as a CD-ROM, DVD-ROM, or USB memory.

[0036] Each means of the apparatus 100 may be implemented in such a form that the CPU 510 executes a program corresponding to each means stored in the ROM 520 or the auxiliary storage device 540. Also, each means of the apparatus 100 may be implemented in the form of realizing the processing related to each means as hardware. Further, it is also possible to have a form in which the program according to the present invention is read from an external server device via the communication I / F 550 or read from the storage medium 590 via the storage medium I / F 580, and the apparatus 100 executes the program. (Processing example by the approach destination extraction device according to the present embodiment) Using FIG. 6, the flow of the processing example by the apparatus 100 will be described. FIG. 6 is a flowchart showing the flow of the processing example by the apparatus 100.

[0037] In S10, the target element receiving means 130 receives the second feature information 260 representing the features of the product 250 that is the target of the sales promotion measure. Note that the second feature information 260 is information having the same rule for specifying the content as the first feature information 240, and is, for example, information representing the features of the product 250 such as the type, function, formulation, and additive of the product. In the examples of FIGS. 3 and 4, the second feature information 260 is information such as "powder detergent", "liquid detergent", "gel ball detergent", "flower fragrance", "aqua fragrance", and "citrus fragrance".

[0038] In S20, the target extraction means 140 extracts the user identification information 220 for identifying the user 210 who has purchased the purchased product 230 having the same first feature information 240 as the second feature information 260 from the purchase information storage means 110.

[0039] As shown in FIG. 3, when the second feature information 260 is "containing bleach", the target extraction means 140 extracts user identification information 220: "A", which identifies the user 210 who has purchased the purchased product 230 featuring the first feature information 240: "containing bleach". Also, when the second feature information 260 is "new enzyme formulation", the target extraction means 140 extracts user identification information 220: "A", "B", "C", "E", "F", which identifies the user 210 who has purchased the purchased product 230 featuring the first feature information 240: "new enzyme formulation".

[0040] Furthermore, in S20, the target extraction means 140 extracts from the purchase information storage means 110 the user identification information 220 that identifies the user 210 who has purchased the purchased product 230 featuring the first feature information 240 similar to the second feature information 260. Note that the first feature information 240 in the similar relationship is defined in the similarity range storage means 120.

[0041] Therefore, the target extraction means 140 extracts the user identification information 220 that identifies the user 210 who has purchased the purchased product 230 featuring the other first feature information 240 associated with the single first feature information 240 identical to the second feature information 260 in the similarity range storage means 120. By this process, it is possible to ensure both the quantity and maintain the quality (expecting a high response rate) of the approach targets in the sales promotion activities.

[0042] As shown in FIGS. 3 and 4, when the second feature information 260 is "liquid detergent", the first feature information 240 similar to this is "gel ball detergent". Therefore, when the second feature information 260 is "liquid detergent", the target extraction means 140 extracts user identification information 220: "C", "E", which identifies the user 210 who has purchased the purchased product 230 featuring the first feature information 240: "gel ball detergent".

[0043] Similarly, when the second feature information 260 is "floral fragrance", the first feature information 240 similar to this is "aquatic fragrance" and "citrus fragrance". Therefore, when the second feature information 260 is "floral fragrance", the target extraction means 140 extracts user identification information 220: "A", "B", "C" that identifies users 210 who have purchased the purchased product 230 characterized by the first feature information 240: "aquatic fragrance", "citrus fragrance".

[0044] Also, in S20, it is also possible to adopt a form in which the target extraction means 140 extracts user identification information 220 that identifies users 210 who have purchased a predetermined number or more of purchased products 230 characterized by the first feature information 240 that is the same as or similar to the second feature information 260. By this process, it is possible to extract an approach target that can be expected to have a high response rate in the sales promotion activity.

[0045] Also, assume that there are a plurality of second feature information 260 in S20. At this time, it is also possible to adopt a form in which the target extraction means 140 extracts user identification information 220 that identifies users 210 who have purchased the purchased product 230 that collectively has the first feature information 240 that is the same as or similar to each second feature information 260. By this process, it is possible to extract an approach target that can be expected to have a high response rate in the sales promotion activity.

[0046] As shown in FIGS. 3 and 4, when the second feature information 260 is "liquid detergent" and "floral fragrance", the first feature information 240 similar to this is "gel ball detergent", "aquatic fragrance", and "citrus fragrance", respectively. Therefore, when the second feature information 260 is "liquid detergent" and "floral fragrance", the target extraction means 140 has the first feature information 240: "liquid detergent" or "gel ball detergent" as a feature, and also has "floral fragrance", "aquatic fragrance" or "citrus fragrance" as a feature. The user identification information 220: "B", "C", "F" that identifies the user 210 who has purchased the purchased product 230 is extracted.

[0047] By the above-described processing, when the apparatus 100 attempts to promote the sale of the product / service 250, it can extract the approach destination 220 with high cost-effectiveness by focusing on the characteristics of the product / service 250.

[0048] As described above in detail regarding the embodiments of the present invention, the present invention is not limited to such specific embodiments, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims.

Explanation of Reference Numerals

[0049] 100 Approach Destination Extraction Device 110 Purchase Information Storage Means 120 Similar Range Storage Means 130 Target Element Reception Means 140 Target Extraction Means 210 User (Customer) 220 User Identification Information 230 Purchased Product (Including Service) 240 First Feature Information 250 Product (Including Service) Targeted by Sales Promotion Measures 260 Second Feature Information 270 Communication Network 280 POS (Point of Sales) System, etc. 510 CPU 520 ROM 530 RAM 540 Auxiliary Storage Device 550 Communication Interface 560 Input Device 570 Output Device 580 Storage Medium Interface 590 Storage Medium

Claims

1. a purchase information storage means for storing user identification information and first characteristic information representing characteristics related to the composition of a purchased product in association with each other; a target element receiving means for receiving second characteristic information representing a characteristic of a composition of a product that is a target of a sales promotion measure; and a target extraction means for extracting user identification information that identifies a user who purchases the purchased product having as a feature the first characteristic information that is identical to the second characteristic information.

2. The approach destination extraction device according to claim 1, characterized in that the target extraction means extracts the user identification information that identifies a user who purchases the purchased product having the first characteristic information similar to the second characteristic information as a characteristic.

3. a similarity range storage means for storing one of the first feature information pieces and another of the first feature information pieces that is defined as being similar to the one of the first feature information pieces in association with each other; The approach destination extraction device according to claim 2, characterized in that the target extraction means extracts the user identification information that identifies a user who purchases the purchased product that has as a feature the other first feature information that is associated with the one first feature information that is identical to the second feature information in the similarity range storage means.

4. The approach destination extraction device according to claim 3, characterized in that the target extraction means extracts the user identification information that identifies users who have purchased a predetermined number or more of the purchased products that have the first characteristic information that is identical or similar to the second characteristic information as a feature.

5. The approach destination extraction device according to claim 3, characterized in that, when there are a plurality of pieces of second feature information, the target extraction means extracts the user identification information that identifies a user who has purchased the purchased product that also has, as a feature, the first feature information that is identical or similar to each of the second feature information.

6. A computer including a purchase information storage means for storing user identification information and first characteristic information representing a characteristic related to a compound of a purchased product in association with each other, a step in which the target element receiving means receives second characteristic information representing a characteristic related to a composition of a product that is a target of the sales promotion measure; An approach destination extraction method including a step in which a target extraction means extracts the user identification information that identifies a user who purchases the purchased product having as a feature the first characteristic information that is identical to the second characteristic information.

7. The approach destination extraction method according to claim 6, characterized in that the target extraction means extracts the user identification information that identifies a user who purchases the purchased product having the first characteristic information similar to the second characteristic information as a characteristic.

8. the computer includes a similarity range storage means for storing one of the first feature information and another of the first feature information that is defined to be similar to the one of the first feature information in association with each other, The approach destination extraction method according to claim 7, characterized in that the target extraction means extracts the user identification information that identifies a user who purchases the purchased product that has as a feature the other first feature information that is associated with the one first feature information that is identical to the second feature information in the similarity range storage means.

9. The approach destination extraction method according to claim 8, characterized in that the target extraction means extracts the user identification information that identifies users who have purchased a predetermined number or more of the purchased products that have the first characteristic information that is identical or similar to the second characteristic information as a feature.

10. The approach destination extraction method according to claim 8, characterized in that, when there are a plurality of pieces of second feature information, the target extraction means extracts the user identification information that identifies a user who has purchased the purchased product that also has, as a feature, the first feature information that is identical or similar to each of the second feature information.

11. An approach destination extraction program for causing a computer to execute the method according to any one of claims 6 to 10.

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