CONSUMER BEHAVIOR ANALYSIS DEVICE AND CONSUMER BEHAVIOR ANALYSIS METHOD

Abstract

The aim is to analyze what genre (consumption classification) a user's consumption activity falls into. [Solution] The system includes a purchase history data acquisition unit that acquires purchase history data that records the user's purchase history of purchases of purchase items, a behavioral information acquisition unit that acquires behavioral information that indicates the user's behavior, an allocation unit that assigns a consumption classification of the purchase items indicated by the purchase history data based on the behavioral information, and an analysis unit that analyzes the consumption trends of the purchase items purchased by the user based on the purchase history data and the consumption classification assigned by the allocation unit.

Description

[Technical field]

[0001] The present invention relates to a consumer behavior analysis device and a consumer behavior analysis method. [Background technology]

[0002] Conventionally, there is known a technology for analyzing consumption activities in which consumers purchase goods and services (for example, see Patent Document 1). The technology described in Patent Document 1 simulates the movement of a user from the user's movement history, and grasps the degree of the user's consumption activity based on the simulation results from the user's stay history and transportation facility passage history. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7356609 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 cannot analyze the type of activity that a user's consumption activity belongs to. For example, even if a user stays in the same place, it is not possible to determine the type of activity, such as whether the activity is travel-related, art-related, or sports-related.

[0005] The present invention has been made in consideration of the above circumstances, and its purpose is to analyze what genre (consumption classification) a user's consumption activity belongs to. [Means for solving the problem]

[0006] One aspect of the present invention is a consumption behavior analysis device that includes a purchase history data acquisition unit that acquires purchase history data that records a user's purchase history of purchases of purchase items, a behavioral information acquisition unit that acquires behavioral information that indicates the user behavior of the user, an allocation unit that assigns a consumption classification of the purchase items indicated by the purchase history data based on the behavioral information, and an analysis unit that analyzes the consumption trends of the purchase items purchased by the user based on the purchase history data and the consumption classification assigned by the allocation unit. One aspect of the present invention is a consumer behavior analysis device as described above, wherein the allocation unit includes an estimation unit that estimates a behavioral purpose of the user in a specified period based on the behavioral information, and the allocation unit assigns a consumption classification of purchase objects in the specified period in accordance with the behavioral purpose estimated by the estimation unit. One aspect of the present invention is a consumer behavior analysis device further comprising a purchase purpose nature information acquisition unit that acquires purchase purpose nature information indicating a nature of a predetermined purchase purpose for a purchase object, and the allocation unit assigns a consumption classification of the purchase object for the specified period based on the purchase purpose nature information and the behavioral purpose estimated by the estimation unit. One aspect of the present invention is a consumer behavior analysis device in which the nature of the purchasing purpose includes a specific purpose and a general purpose, and the allocation unit assigns a consumption classification to purchase objects for a specific purpose based on the specific purpose, and assigns a consumption classification to purchase objects for a general purpose based on the behavioral purpose. One aspect of the present invention is the above-mentioned consumer behavior analysis device, wherein the allocation unit includes an estimation unit that estimates a behavioral purpose of the user based on the behavioral information, the estimation unit sets a behavioral period corresponding to the behavioral purpose of the user based on the behavioral information, and the allocation unit assigns a consumption classification of purchase objects in the behavioral period in accordance with the behavioral purpose estimated by the estimation unit. One aspect of the present invention is a consumer behavior analysis device in which, in the above-mentioned consumer behavior analysis device, the estimation unit sets the behavioral period for each piece of behavioral information based on a plurality of pieces of behavioral information each indicating a plurality of user behaviors of the user, so that the behavioral periods do not overlap. One aspect of the present invention is a consumer behavior analysis device in which, in the above-mentioned consumer behavior analysis device, the estimation unit sets the behavioral period for each piece of behavioral information based on a plurality of pieces of behavioral information each indicating a plurality of user behaviors of the user, and the assignment unit assigns different consumption classifications to overlapping and non-overlapping periods when the behavioral periods overlap. One aspect of the present invention is a consumer behavior analysis device in which the assignment unit assigns multiple consumption classifications to a single purchase object based on multiple pieces of behavioral information each indicating multiple user behaviors of the user. One aspect of the present invention is a consumer behavior analysis device as described above, wherein the assignment unit assigns a consumption classification of a purchase object based on location information of the user included in the behavioral information and location information of a facility identified by the user's purchasing information included in the purchase history data. One aspect of the present invention is a consumer behavior analysis device in which the allocation unit further includes an analysis unit that analyzes an accompaniment state based on the behavioral information of the user and other users, and the allocation unit assigns a consumption classification of the purchase object based on a result of the analysis of the accompaniment state by the analysis unit. One aspect of the present invention is a consumer behavior analysis device as described above, further comprising an SNS user information acquisition unit that acquires user information of the user on an SNS to which the user is registered, and the allocation unit assigns a consumption classification of the purchase object based on the user information.

[0007] One aspect of the present invention is a consumer behavior analysis method executed by an information processing device, the consumer behavior analysis method including: a purchase history data acquisition step of acquiring purchase history data recording a history of a user's purchases of purchase items; a behavior information acquisition step of acquiring behavior information indicating the user behavior of the user; an assignment step of assigning a consumption classification of the purchase items indicated by the purchase history data based on the behavior information; and an analysis step of analyzing the consumption tendencies of the purchase items purchased by the user based on the purchase history data and the consumption classification assigned by the assignment step. Effect of the Invention

[0008] According to the present invention, it is possible to obtain an effect of being able to analyze what genre (consumption classification) a user's consumption activity belongs to. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram showing an example of the configuration of a consumption behavior analysis system according to an embodiment. [Diagram 2] 1 is a block diagram showing an example of the configuration of a consumption behavior analysis device according to an embodiment. [Diagram 3] FIG. 2 is a diagram showing a specific example for explaining a consumption behavior analysis method according to an embodiment. [Figure 4] FIG. 2 is a diagram showing a specific example for explaining a consumption behavior analysis method according to an embodiment. [Diagram 5] FIG. 13 is a diagram showing an example of the configuration of a display screen for purchase target consumption trend analysis data according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a block diagram showing an example of the configuration of a consumption behavior analysis system according to an embodiment. In Fig. 1, a consumption behavior analysis device 1 transmits and receives data to and from an analysis requester terminal 2 via a communication line. The analysis requester terminal 2 is a terminal used by the person requesting the analysis. The person requesting the analysis specifies the analysis area to be analyzed, the analysis period, etc., to the consumption behavior analysis device 1 using the analysis requester terminal 2. The consumption behavior analysis device 1 provides the analysis results based on the specification of the analysis area, analysis period, etc., received from the analysis requester terminal 2 to the analysis requester terminal 2.

[0011] The consumption behavior analysis device 1 transmits and receives data to and from a database 3 via a communication line. The database 3 stores information such as terminal location history information indicating the location history of a user terminal 4 connected to a mobile communication network NW, user attribute information indicating the attributes of a user who uses the user terminal 4, purchase history data recording the history of purchases of purchase items (products and services) by a user who uses the user terminal 4, map data, facility information indicating various facilities present in an area included in the map data, purchase purpose nature information indicating the nature of a predetermined purchase purpose for a purchase item, user information (SNS user information) in a social networking service (SNS) to which a user who uses the user terminal 4 is registered, and web information which is information on the access history of web accesses made by a user using the user terminal 4.

[0012] The user terminal 4 is a mobile terminal such as a smartphone or a tablet computer (tablet PC). The mobile communication network NW may be a mobile communication network provided by one operator, or may be a plurality of mobile communication networks provided by a plurality of operators.

[0013] 2 is a block diagram showing an example of the configuration of the consumption behavior analysis device 1 according to the present embodiment. In FIG.

[0014] The communication unit 11 communicates with devices external to the consumption behavior analysis device 1. The communication unit 11 transmits and receives data to and from the analysis requester terminal 2 via a communication line. The communication unit 11 transmits and receives data to and from the database 3 via the communication line.

[0015] The storage unit 12 stores various data such as programs executed by the control unit 13 and data used by the control unit 13. The storage unit 12 is configured from a hard disk device, a magneto-optical disk device, a non-volatile memory such as a flash memory, a read-only recording medium such as a CD-ROM, a volatile memory such as a dynamic random access memory (DRAM), or a combination of these.

[0016] The control unit 13 includes a CPU (Central Processing Unit) and realizes various functions by executing programs stored in the storage unit 12. The control unit 13 according to this embodiment includes, as its functional units, a reception unit 20, a purchase history data acquisition unit 21, a behavioral information acquisition unit 22, an allocation unit 23, an analysis unit 24, a purchase purpose property information acquisition unit 25, an SNS user information acquisition unit 26, and an output unit 27.

[0017] The consumption behavior analysis device 1 may be configured using a general-purpose computer device, or may be configured as a dedicated hardware device. For example, the consumption behavior analysis device 1 may be configured using a server computer connected to a communication network such as the Internet. Furthermore, each function of the consumption behavior analysis device 1 may be realized by cloud computing. Furthermore, the consumption behavior analysis device 1 may be realized by a single computer, or may be realized by distributing the functions of the consumption behavior analysis device 1 among multiple computers. Furthermore, the consumption behavior analysis device 1 may be configured to open a website using, for example, a WWW system or the like.

[0018] The reception unit 20 receives analysis request information from the analysis requester terminal 2 via the communication unit 11. The analysis request information is information that specifies the analysis area to be analyzed, the analysis period, etc. The reception unit 21 receives the analysis request information from the analysis requester terminal 2, thereby accepting the specification of the analysis area, the analysis period, etc.

[0019] The purchase history data acquisition unit 21 accesses the database 3 via the communication unit 11 and acquires purchase history data from the database 3. The storage unit 12 stores the purchase history data acquired by the purchase history data acquisition unit 21. The purchase history data is data that records purchase information indicating the location (including physical stores and online shops), date and time, purchased item, purchase price, etc., at which a user using each user terminal 4 purchased a product or service that is the purchase target in an area including the specified analysis area and in a period including the analysis period accepted by the acceptance unit 21. The purchase history data may include information related to the purchase target. For example, when the payment date and time are different from the date and time of the purchase target for a prepaid purchase target such as an advance ticket for an event, an advance limited express ticket for a bullet train, or an advance hotel accommodation ticket, the date and time of the purchase target may be recorded together with the attributes of the advance purchase target. In addition, for purchase targets for which the usage fee is paid in a lump sum, such as electronic coupon tickets or fixed-rate use of a sharing service (purchase target for lump-sum use), data such as the date and time of the purchase target may be available, and in this case, the date and time of the purchase may be recorded together with the attributes of the lump-sum use.

[0020] The behavioral information acquiring unit 22 accesses the database 3 via the communication unit 11 and acquires behavioral information from the database 3. The storage unit 12 stores the behavioral information acquired by the behavioral information acquiring unit 22. The behavioral information is information indicating user behavior of users who use each user terminal 4 in an area including the specified analysis area accepted by the accepting unit 21 and in a period including the analysis period.

[0021] As the behavioral information, information on all user terminals 4 having a location history matching the analysis area and analysis period in the terminal location history information in the database 3 is acquired. As the behavioral information, terminal location information and terminal location acquisition date and time information included in the terminal location history information in the database 3 are acquired. The terminal location information is information indicating the location of the user terminal 4. The terminal location acquisition date and time information is information indicating the date and time when the terminal location information was acquired from the user terminal 4. As the behavioral information, information on facilities matching the terminal location information is acquired from the facility information in the database 3. As the behavioral information, information on the user's home, workplace, etc. matching the terminal location information is acquired from the user attribute information in the database 3. As the behavioral information, information on transportation facilities matching the terminal location information is acquired from the map data in the database 3. As the behavioral information, purchasing information of the user is acquired from the purchase history data in the database 3. As the behavioral information, information on the web pages accessed by the user is acquired from the web information in the database 3.

[0022] The allocation unit 23 allocates a consumption category of the purchase object indicated by the purchase history data based on the behavior information. Examples of the consumption category include travel, cooking, music, art, culture, and sports. The analysis unit 24 analyzes the consumption tendency of the purchase object purchased by the user based on the purchase history data and the consumption category allocated by the allocation unit 23.

[0023] The allocation unit 23 includes an estimation unit 231 and an analysis unit 232 .

[0024] The estimation unit 231 estimates the purpose of a user's behavior in a predetermined period based on the behavior information. For example, when the behavior information of a certain user in a certain day (predetermined period) is entering a museum, the purpose of the user's behavior in that day is estimated to be a hobby behavior (art).

[0025] The estimation unit 231 may be configured to identify the behavioral purpose of a specific user by learning the hobbies and areas of interest of the specific user in advance through machine learning using, for example, the purchase information and web information of the specific user.

[0026] The allocation unit 23 may allocate a consumption category of the purchase object for a predetermined period according to the behavioral purpose estimated by the estimation unit 231. For example, the consumption category "art" that is associated in advance with the behavioral purpose "hobby behavior (art)" estimated by the estimation unit 231 is allocated to the purchase object "art museum admission ticket".

[0027] The purchase purpose property information acquisition unit 25 accesses the database 3 via the communication unit 11 and acquires purchase purpose property information from the database 3. The memory unit 12 stores the purchase purpose property information acquired by the behavior information acquisition unit 22. The purchase purpose property information is information indicating the property of a purchase purpose that is predetermined for a purchase object. The property of a purchase purpose includes a specific purpose and a general purpose. A specific purpose is a fixed property. A general purpose is a general purpose property.

[0028] For example, a museum admission ticket is a purchase object used for a specific purpose of "hobby" that has a fixed nature. On the other hand, transportation expenses such as train tickets and food and drink expenses are purchase objects used for various purposes, so the nature of the purchase purpose for transportation expenses and food and drink expenses is general-purpose purpose that has a general nature.

[0029] The allocation unit 23 may allocate consumption classifications to purchase objects in a predetermined period based on the purchase purpose property information and the behavioral purpose estimated by the estimation unit 231. For example, the allocation unit 23 allocates consumption classifications to purchase objects for a specific purpose based on the specific purpose. On the other hand, the allocation unit 23 allocates consumption classifications to purchase objects for general purposes according to the behavioral purpose.

[0030] For example, for the purchase object "art museum admission ticket", the purchase purpose nature information is the specific purpose "hobby", so the consumption classification "art" that is pre-associated with the specific purpose "hobby (art)" is assigned regardless of the behavior purpose "hobby behavior (art)" of the estimation result of the estimation unit 231. On the other hand, for the purchase objects "transportation expenses" and "dining expenses", the purchase purpose nature information is general purpose, so the consumption classification changes depending on the behavior purpose. For example, for the purchase object "transportation expenses", if the behavior purpose of the estimation result of the estimation unit 231 is "hobby behavior (art)", the consumption classification "art" that is pre-associated with the behavior purpose "hobby behavior (art)" is assigned. For example, for the purchase object "dining expenses", if the behavior purpose of the estimation result of the estimation unit 231 is "hobby behavior (art)", the consumption classification "art" that is pre-associated with the behavior purpose "hobby behavior (art)" is assigned.

[0031] The estimation unit 231 may estimate the purpose of the user's behavior based on the behavior information, and set a behavior period corresponding to the purpose of the user's behavior based on the behavior information. Setting examples 1 and 2 of this behavior period are shown below.

[0032] (Example 1 of setting the action period) The estimation unit 231 sets the behavior period for each behavior information based on a plurality of behavior information indicating a plurality of user behaviors of the user so that the behavior periods do not overlap. For example, if the default value of the behavior period is set to one day and the user watches a movie in the morning of the same day and watches a sporting event in the afternoon of the same day, the behavior period is not set to one day, but separate behavior periods are set for the morning and the afternoon.

[0033] (Example 2 of setting the action period) The estimation unit 231 sets a behavior period for each piece of behavior information based on a plurality of pieces of behavior information indicating a plurality of user behaviors of the user, while allowing the behavior periods to overlap.

[0034] The allocation unit 23 may allocate a consumption classification of a purchase target in a behavioral period according to the behavioral purpose estimated by the estimation unit 231. For example, if a user watches a movie in the morning of one day (behavioral purpose "hobby behavior (movie)") and watches a sports game in the afternoon of the same day (behavioral purpose "hobby behavior (sports)"), the consumption classification "culture" that is pre-associated with the behavioral purpose "hobby behavior (movie)" is allocated to the morning behavioral period, and the consumption classification "sports" that is pre-associated with the behavioral purpose "hobby behavior (sports)" is allocated to the afternoon behavioral period.

[0035] When behavior periods overlap, the allocation unit 23 may allocate different consumption classifications to the overlapping and non-overlapping periods. For example, the allocation unit 23 allocates consumption classifications corresponding to specific purposes of each behavior period to the non-overlapping behavior periods, while allocating consumption classifications corresponding to general purposes to the overlapping behavior periods.

[0036] The allocation unit 23 may allocate a plurality of consumption categories to one purchase object based on a plurality of pieces of behavior information indicating a plurality of user behaviors of the user, respectively.

[0037] The allocation unit 23 may allocate a consumption category of a purchase object based on the user's location information included in the behavioral information and the location information of a facility identified by the user's purchase information included in the purchase history data. For example, if a user watches a movie in the morning of the day (behavioral purpose "hobby behavior (movie)") and watches a sports game in the afternoon of the same day (behavioral purpose "hobby behavior (sports)"), and has lunch between the morning and afternoon at a place closer to the sports game venue than the movie theater, the allocation unit 23 allocates the consumption category "sports" that is previously associated with the behavioral purpose "hobby behavior (sports)" to the lunch fee (general purpose).

[0038] The analysis unit 232 analyzes the accompanying state based on the behavioral information of the user and the other users. For example, if the first user and the second user purchase similar purchase items at the same time and in the same place (for example, if they have lunch at the same restaurant at noon), the first user and the second user may be determined to be in an "accompanying state."

[0039] The allocation unit 23 may allocate the consumption category of the purchase target based on the analysis result of the accompanied state by the analysis unit 232. For example, if the customer has lunch at the same restaurant and has watched a movie in the morning, the allocation unit 23 allocates the consumption category "socializing" that is pre-associated with "accompanied state" to the lunch fee (general purpose) instead of the consumption category "culture" that is pre-associated with the behavioral purpose "hobby behavior (movie)."

[0040] The SNS user information acquisition unit 26 accesses the database 3 via the communication unit 11 and acquires the SNS user information from the database 3. The storage unit 12 stores the SNS user information acquired by the SNS user information acquisition unit 26. The SNS user information is hobby information, posted information, community information, etc., registered by the user on the SNS.

[0041] The allocation unit 23 may allocate a consumption category of the purchase target based on the SNS user information. For example, the allocation unit 23 allocates the consumption category "music" that is previously associated with a hobby (e.g., music appreciation) indicated in the hobby information registered in the SNS to a general-purpose transportation expense or a food and drink expense.

[0042] The output unit 27 outputs purchase object consumption trend analysis data indicating the analysis result of the consumption trend of the purchase object by the analysis unit 24. The purchase object consumption trend analysis data output from the output unit 27 is transmitted to the analysis requester terminal 2 by the communication unit 11.

[0043] 3 and 4 are diagrams showing a specific example for explaining the consumption behavior analysis method according to the present embodiment. The user behavior is information for identifying the user behavior indicated by the behavior information acquired by the behavior information acquisition unit 22.

[0044] In the specific example shown in FIG. 3, the user traveled from his / her home to the nearest station (locality) to the art museum using public transportation, using the travel expenses (general purpose). This travel expenses (general purpose) was for going to the art museum, so the consumption classification "Art" that is pre-associated with the behavioral purpose "Hobby behavior (art)" is assigned to this travel expenses (general purpose). Next, the user arrived at the art museum between 8 and 10, and paid the museum admission fee (specific purpose "Hobby (art)"). Next, the user visited a special exhibition held at the art museum between 10 and 12, purchased goods (specific purpose "Hobby (art)"), and further purchased an advance ticket for the next special exhibition (specific purpose "Hobby (art)"). The consumption classification "Art" that is pre-associated with the specific purpose "Hobby (art)" is assigned to these purchases at the art museum.

[0045] Next, the user pays for lunch (general purpose) at a restaurant near the art museum between 12:00 and 14:00. This lunch fee (general purpose) is allocated the consumption classification "art" that is associated in advance with the behavioral purpose "hobby behavior (art)" because it is consumed at a restaurant closer to the art museum than the museum that is visited later in the afternoon.

[0046] Next, between 14:00 and 16:00, the user traveled by public transport to the nearest station to the museum, which was his next destination, using the travel expenses (general purpose). Because this travel expenses (general purpose) was for going to the museum, the consumption classification "culture" previously associated with the behavioral purpose "hobby behavior (erudition)" is assigned to it. Next, between 14:00 and 16:00, the user arrived at the museum and paid the museum admission fee (specific purpose "hobby (erudition)"). Next, between 16:00 and 18:00, the user visited a special exhibition held at the museum and purchased some goods (specific purpose "hobby (erudition)"). The consumption classification "culture" previously associated with the specific purpose "hobby (erudition)" is assigned to the items purchased at the museum.

[0047] Next, the user paid for dinner (general purpose) at a restaurant that he had reserved in advance between 18:00 and 20:00. This dinner expense (general purpose) is consumption at a restaurant that he had reserved in advance to use after visiting the museum, so it is assigned the consumption classification "culture" that is associated in advance with the behavioral purpose "hobby behavior (erudition)."

[0048] Next, the user traveled to his / her home using transportation expenses (general purpose) between 20:00 and 22:00. This travel expense (general purpose) was for returning from the museum, so the consumption classification "Culture" that is previously associated with the behavioral purpose "Hobby behavior (erudition)" is assigned to this travel expense (general purpose). Next, the user went to bed between 22:00 and 24:00.

[0049] In the specific example shown in Fig. 4, the user travels by train from home to work between 6:00 and 8:00, using transportation expenses (general purpose). During this commute, the user obtains information about a special exhibition at a museum by accessing the web using user terminal 4. Therefore, the transportation expenses (general purpose) for the commute are assigned the consumption classification "art" that is pre-associated with the behavioral purpose "hobby behavior (art)" by obtaining the information about the special exhibition at the museum.

[0050] Next, the user started work at the workplace between 8:00 and 10:00, and had a meeting or desk work between 10:00 and 12:00.

[0051] Next, the user paid for lunch (general purpose) at an art concept cafe between 12:00 and 14:00. During this lunch, the user accessed the Web using user terminal 4 to perform a more detailed search for the information on the special exhibition at the art museum that he had obtained during his commute. For this reason, the consumption classification "art" that is associated in advance with the behavioral purpose "hobby behavior (art)" is assigned to this lunch fee (general purpose).

[0052] Next, the user held a meeting or did desk work between 2:00 and 4:00 p.m., and did desk work between 4:00 and 6:00 p.m.

[0053] Next, the user makes a detour on the way home between 6:00 and 8:00 p.m. to gather information about a special exhibition at a museum. At this time, the user purchases an art magazine and a travel guidebook. The travel expenses for the trip home (general purpose), the cost of the art magazine, and the travel guidebook can have both the behavioral purpose "hobby behavior (art)" and the behavioral purpose "hobby behavior (erudition)." Therefore, the consumption classifications that can be assigned include both the consumption classification "art" that is pre-associated with the behavioral purpose "hobby behavior (art)," and the consumption classification "culture" that is pre-associated with the behavioral purpose "hobby behavior (erudition)." Examples 1 and 2 of the method for assigning consumption classifications in this case are shown below.

[0054] (Example 1 of how consumption categories are assigned) The costs of transportation (general purposes), art-related magazines, and travel guidebooks are split in half, and for each split amount (i.e., half of the total costs of transportation (general purposes), art-related magazines, and travel guidebooks), one side is assigned the consumption category "arts" and the other side is assigned the consumption category "culture."

[0055] (Example 2 of how consumption categories are assigned) The allocation ratio of the consumption category "art" and the consumption category "culture" to the total amount of transportation expenses (general purpose), art magazine expenses, and travel guidebook expenses is determined according to the priority of the user. For example, if it is determined based on the user's SNS user information that the user has a greater interest in hobby (fine arts) than hobby (erudition), the consumption category "arts" may be allocated to the total amount of transportation expenses (general purpose), art magazine expenses, and travel guidebook expenses. For example, if it is determined based on the user's SNS user information that the user has an equal interest in hobby (erudition) and hobby (fine arts), the consumption category "arts" is allocated to one half of the total amount of transportation expenses (general purpose), art magazine expenses, and travel guidebook expenses, and the consumption category "culture" is allocated to the other half.

[0056] The user then returned home between 8:00 and 10:00 p.m. and had dinner at home.

[0057] Next, between 10 p.m. and midnight, the user uses user terminal 4 to access the Web to gather information about the art museum and the museum, and purchase tickets for both. The ticket price for the art museum is assigned the consumption category "Art" that is pre-associated with the behavioral purpose "Hobby behavior (fine arts)". Also, the ticket price for the museum is assigned the consumption category "Culture" that is pre-associated with the behavioral purpose "Hobby behavior (erudition)".

[0058] In addition, in preparation for going to the art museum between 10 p.m. and midnight, the user uses user terminal 4 to access the Web, reserves a hotel near the museum, and purchases an outfit through online shopping. The cost of this outfit is assigned the consumption category "art" that is associated in advance with the behavioral purpose "hobby behavior (art)."

[0059] FIG. 5 is a diagram showing an example of the configuration of a display screen of the purchase target consumption tendency analysis data according to the present embodiment. The display screen 100 of the purchase target consumption tendency analysis data shown in FIG. 5 displays the aggregated results of the amount of spending by age group in the analysis period for each consumption classification in a bar graph. The person requesting the analysis can specify an analysis area in an analysis area specification area 101 provided in the display screen 100. The analysis area specification area 101 displays map data in response to the analysis requester's map data reading operation. The map data is acquired from the database 3. The person requesting the analysis specifies a desired analysis area 102 on the map data displayed in the analysis area specification area 101. The person requesting the analysis can also specify an analysis period in a "data period" specification area provided in the display screen 100. The person requesting the analysis can also specify various analysis conditions in various analysis condition specification areas provided in the display screen 100.

[0060] The consumption classification may be determined in advance as a multi-stage classification structure consisting of, for example, major and minor classifications.

[0061] In the above embodiment, as an example of the allocation of consumption categories, a case where the payment date and time of the purchase object and the implementation date and time are the same as in the case of payment on site for transportation expenses and museum admission fees, etc., is described, but the present invention is not limited to this. For example, in the case of a purchase object for advance payment or lump-sum use, the payment date and time of the purchase object and the implementation date and time are different. In this case, the implementation date and time of the purchase object may be set as the target date and time of the allocation of consumption categories, or the implementation date and time of the purchase object may be estimated from behavioral data such as location information, and the estimated date and time may be set as the target date and time of the allocation of consumption categories. In addition, for a purchase object for lump-sum use, if the number of times of use is fixed, such as a multi-use ticket, an amount divided equally for one use may be set, and a consumption category may be set for each use. In addition, for a purchase object for flat-rate use, the date and time of use and the number of times used may be recorded in the purchase history data, and the amount of the flat-rate use may be apportioned according to the number of times used, and a consumption category may be set for each use.

[0062] According to this embodiment, it is possible to obtain an effect of being able to analyze what genre (consumption classification) a user's consumption activity belongs to.

[0063] This will make it possible to improve the overall service quality of, for example, consumer activity analysis services that utilize location data from user devices connected to mobile communications networks, thereby contributing to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs), which is to "Build resilient infrastructure, promote sustainable industrialization and foster innovation."

[0064] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like that do not deviate from the gist of the present invention are also included.

[0065] Also, a computer program for implementing the functions of each of the above-mentioned devices may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed. Note that the "computer system" referred to here may include hardware such as an OS and peripheral devices. Furthermore, in the case of using a WWW system, the "computer system" also includes the homepage providing environment (or display environment). In addition, the term "computer-readable recording medium" refers to writable non-volatile memory such as a flexible disk, an optical magnetic disk, a ROM, or a flash memory, a portable medium such as a DVD (Digital Versatile Disc), or a storage device such as a hard disk built into a computer system.

[0066] Furthermore, the term "computer-readable recording medium" includes devices that retain a program for a certain period of time, such as volatile memory (e.g., DRAM (Dynamic Random Access Memory)) within a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. The program may be transmitted from a computer system in which the program is stored in a storage device or the like to another computer system via a transmission medium, or by a transmission wave in the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for implementing some of the functions described above, or may be a so-called differential file (differential program) that can implement the functions described above in combination with a program already recorded in the computer system. [Explanation of symbols]

[0067] 1...Consumption behavior analysis device, 2...Analysis requester terminal, 3...Database, 4...User terminal, 11...Communication unit, 12...Memory unit, 13...Control unit, 20...Reception unit, 21...Purchase history data acquisition unit, 22...Behavior information acquisition unit, 23...Allocation unit, 24...Analysis unit, 25...Purchase purpose nature information acquisition unit, 26...SNS user information acquisition unit, 27...Output unit, 231...Estimation unit, 232...Analysis unit, NW...Mobile communication network

Claims

1. a purchase history data acquisition unit that acquires purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition unit that acquires behavior information indicating a user behavior of the user; an allocation unit that allocates a consumption classification of the purchase object indicated by the purchase history data based on the behavior information; an analysis unit that analyzes consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned by the assignment unit; Equipped with The allocation unit includes an estimation unit that estimates a purpose of a behavior of the user during a predetermined period based on the behavior information, the allocation unit allocates consumption categories of the purchase objects for the predetermined period in accordance with the behavioral purpose estimated by the estimation unit. Consumer behavior analysis device.

2. The purchase purpose property information acquisition unit further includes a purchase purpose property information acquisition unit that acquires purchase purpose property information indicating a property of a purchase purpose that is predetermined for a purchase object, the allocation unit allocates consumption categories of the purchase objects for the predetermined period based on the purchase purpose property information and the behavioral purpose estimated by the estimation unit. The consumption behavior analysis device according to claim 1 .

3. The nature of the purchase purpose includes specific purpose and general purpose; The allocation unit, Purchases made for a specific purpose are assigned a consumption classification based on the specific purpose; For general-purpose purchases, assign consumption categories according to the behavioral purpose. The consumption behavior analysis device according to claim 2 .

4. A purchase history data acquisition unit that acquires purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition unit that acquires behavior information indicating a user behavior of the user; an allocation unit that allocates a consumption classification of the purchase object indicated by the purchase history data based on the behavior information; an analysis unit that analyzes consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned by the assignment unit; Equipped with The allocation unit includes an estimation unit that estimates a purpose of the user's action based on the action information, The estimation unit sets a behavior period corresponding to a behavior purpose of the user based on the behavior information; the allocation unit allocates a consumption category of the purchase object in the behavioral period in accordance with the behavioral purpose estimated by the estimation unit. Consumer behavior analysis device.

5. the estimation unit sets the behavior period for each of the behavior information based on a plurality of pieces of behavior information indicating a plurality of user behaviors of the user so that the behavior periods do not overlap with each other. The consumption behavior analysis device according to claim 4.

6. the estimation unit sets the behavior period for each of the behavior information based on a plurality of pieces of behavior information indicating a plurality of user behaviors of the user, the allocation unit, when the behavior periods overlap, allocates different consumption categories to the overlapping period and the non-overlapping period. The consumption behavior analysis device according to claim 4.

7. A purchase history data acquisition unit that acquires purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition unit that acquires behavior information indicating a user behavior of the user; an allocation unit that allocates a consumption classification of the purchase object indicated by the purchase history data based on the behavior information; an analysis unit that analyzes consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned by the assignment unit; Equipped with The allocation unit allocates a plurality of consumption categories to one purchase object based on a plurality of pieces of behavior information that respectively indicate a plurality of user behaviors of the user. Consumer behavior analysis device.

8. A purchase history data acquisition unit that acquires purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition unit that acquires behavior information indicating a user behavior of the user; an allocation unit that allocates a consumption classification of the purchase object indicated by the purchase history data based on the behavior information; an analysis unit that analyzes consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned by the assignment unit; Equipped with the allocation unit allocates consumption categories of the purchase objects based on location information of the user included in the behavior information and location information of a facility identified by the purchase information of the user included in the purchase history data; Consumer behavior analysis device.

9. A purchase history data acquisition unit that acquires purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition unit that acquires behavior information indicating a user behavior of the user; an allocation unit that allocates a consumption classification of the purchase object indicated by the purchase history data based on the behavior information; an analysis unit that analyzes consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned by the assignment unit; Equipped with The allocation unit further includes an analysis unit that analyzes an accompanying state based on the behavior information of the user and the other user, The allocation unit allocates a consumption category of the purchase object based on a result of the analysis of the accompanying state by the analysis unit. Consumer behavior analysis device.

10. An SNS user information acquisition unit that acquires user information of the user in an SNS in which the user is registered, The allocation unit allocates consumption categories of purchase objects based on the user information. The consumption behavior analysis device according to any one of claims 1, 4, and 7-9.

11. A consumer behavior analysis method executed by an information processing device, comprising: A purchase history data acquisition step of acquiring purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition step of acquiring behavior information indicating a user behavior of the user; an allocating step of allocating a consumption classification of the purchase object indicated by the purchase history data based on the behavioral information; an analysis step of analyzing consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned in the assignment step; Including, The allocating step includes an estimating step of estimating a behavioral purpose of the user for a predetermined period based on the behavior information, the allocating step allocates consumption categories of the purchase objects for the predetermined period in accordance with the behavioral purpose estimated in the estimating step; Consumer behavior analysis method.

12. A consumer behavior analysis method executed by an information processing device, comprising: A purchase history data acquisition step of acquiring purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition step of acquiring behavior information indicating a user behavior of the user; an allocating step of allocating a consumption classification of the purchase object indicated by the purchase history data based on the behavioral information; an analysis step of analyzing consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned in the assignment step; Including, The allocating step includes an estimating step of estimating a behavioral purpose of the user based on the behavior information, The estimation step includes setting a behavior period corresponding to a behavior purpose of the user based on the behavior information; the allocating step allocates consumption categories of purchase objects in the behavioral period in accordance with the behavioral purpose estimated in the estimating step; Consumer behavior analysis method.

13. A consumer behavior analysis method executed by an information processing device, comprising: A purchase history data acquisition step of acquiring purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition step of acquiring behavior information indicating a user behavior of the user; an allocating step of allocating a consumption classification of the purchase object indicated by the purchase history data based on the behavioral information; an analysis step of analyzing consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned in the assignment step; Including, The allocating step allocates a plurality of consumption categories to one purchase object based on a plurality of pieces of behavior information indicating a plurality of user behaviors of the user, respectively. Consumer behavior analysis method.

14. A consumer behavior analysis method executed by an information processing device, comprising: A purchase history data acquisition step of acquiring purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition step of acquiring behavior information indicating a user behavior of the user; an allocating step of allocating a consumption classification of the purchase object indicated by the purchase history data based on the behavioral information; an analysis step of analyzing consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned in the assignment step; Including, the allocating step allocates a consumption category of the purchase object based on location information of the user included in the behavior information and location information of a facility identified by the purchase information of the user included in the purchase history data; Consumer behavior analysis method.

15. A consumer behavior analysis method executed by an information processing device, comprising: A purchase history data acquisition step of acquiring purchase history data that records a history of a user's purchase of a purchase item; A behavior information acquisition step of acquiring behavior information indicating a user behavior of the user; an allocating step of allocating a consumption classification of the purchase object indicated by the purchase history data based on the behavioral information; an analysis step of analyzing consumption trends of the purchase objects purchased by the user based on the purchase history data and the consumption classification assigned in the assignment step; Including, The allocating step includes an analyzing step of analyzing an accompanying state based on the behavior information of the user and the other user, The allocating step allocates a consumption category of the purchase object based on a result of the analysis of the accompanying state by the analyzing step. Consumer behavior analysis method.

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