Consumer behavior analysis device and consumer behavior analysis method

Abstract

The aim is to analyze the types (categories) of user consumption activities. [Solution] The system includes a purchase history data acquisition unit that acquires purchase history data recording the history of purchases made by the user; an activity information acquisition unit that acquires activity information indicating the user's behavior; an assignment unit that assigns consumption classifications of purchase items indicated by the purchase history data based on the activity information; and an analysis unit that analyzes the consumption trends of purchase items purchased by the user based on the purchase history data and the consumption classifications assigned by the assignment unit.

Description

Technical Field

[0001] The present invention relates to a consumer behavior analysis apparatus and a consumer behavior analysis method.

Background Art

[0002] Conventionally, a technology for analyzing consumer activities in which consumers purchase goods and services has been known (for example, see Patent Document 1). The technology described in Patent Document 1 simulates the movement of a user from the movement history of the user, and based on the simulation result, grasps the degree of the user's consumption activity from the user's stay history and the passage history of transportation facilities.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the technology described in Patent Document 1 cannot analyze even what genre of activity the user's consumption activity is. For example, even if staying in the same place, it was not possible to know what genre of activity it was, such as an activity related to travel, an activity related to art, or an activity related to sports.

[0005] The present invention has been made in consideration of such circumstances, and an object thereof is to analyze what genre (consumption classification) of activity the user's consumption activity is.

Means for Solving the Problems

[0006] One aspect of the present invention is a consumer behavior analysis device comprising: a purchase history data acquisition unit that acquires purchase history data recording the history of a user's purchase of purchase items; a behavior information acquisition unit that acquires behavior information indicating the user's user behavior; an assignment unit that assigns a consumption classification of the purchase items indicated by the purchase history data based on the behavior 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 assignment unit. One aspect of the present invention is a consumer behavior analysis device in which the assignment unit comprises an estimation unit that estimates the user's behavioral purpose during a predetermined period based on the behavioral information, and the assignment unit assigns a consumption classification of the purchase target during the predetermined period according to the behavioral purpose estimated by the estimation unit. One aspect of the present invention is a consumer behavior analysis device that further comprises a purchase purpose nature information acquisition unit that acquires purchase purpose nature information indicating the nature of a predetermined purchase purpose for a purchase target, and the assignment unit assigns a consumption classification of the purchase target for a predetermined 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 purchase purpose includes specific purposes and general purposes, and the assignment unit assigns a consumption classification to purchase targets for specific purposes based on the specific purpose, and assigns a consumption classification to purchase targets for general purposes according to the behavioral purpose. One aspect of the present invention is a consumer behavior analysis device described above, wherein the allocation unit comprises an estimation unit that estimates the user's behavioral purpose based on the behavioral information, the estimation unit sets a behavioral period corresponding to the user's behavioral purpose based on the behavioral information, and the allocation unit assigns a consumption classification of purchase targets during the behavioral period according to the behavioral purpose estimated by the estimation unit. One aspect of the present invention is a consumer behavior analysis device in which, based on a plurality of behavioral information items each representing a plurality of user behaviors of the user, the estimation unit sets the behavioral period for each behavioral information item so that the behavioral periods do not overlap. One aspect of the present invention is a consumer behavior analysis device in which the estimation unit sets the behavior period for each behavior information based on a plurality of behavior information each representing a plurality of user behaviors of the user, and the assignment unit assigns different consumption classifications to the overlapping period and the non-overlapping period when the behavior periods overlap. One aspect of the present invention is a consumer behavior analysis device in which the assignment unit assigns a plurality of consumption classifications to a single purchase target based on a plurality of behavioral information that each indicates a plurality of user behaviors of the user. One aspect of the present invention is a consumer behavior analysis device in which the assignment unit assigns a consumption classification of a purchase target based on the user's location information included in the behavior information and the location information of a facility identified by the user's purchase information included in the purchase history data. One aspect of the present invention is a consumer behavior analysis device in which the assignment unit further comprises an analysis unit that analyzes the accompanying status based on the respective behavioral information of the user and other users, and the assignment unit assigns a consumption classification of the target to be purchased based on the analysis result of the accompanying status by the analysis unit. One aspect of the present invention is a consumer behavior analysis device that further comprises an SNS user information acquisition unit that acquires user information of the user on the SNS to which the user is registered, and the assignment unit assigns a consumption classification of the target of purchase based on the user information.

[0007] One aspect of the present invention is a consumer behavior analysis method performed by an information processing device, comprising: a purchase history data acquisition step of acquiring purchase history data that records the history of a user's purchase of purchase items; a behavior information acquisition step of acquiring behavior information that indicates the user's user behavior; an assignment step of assigning a consumption classification of purchase items indicated by the purchase history data based on the behavior information; and an analysis step of analyzing the consumption trends of purchase items purchased by the user based on the purchase history data and the consumption classification assigned by the assignment step. [Effects of the Invention]

[0008] According to the present invention, it is possible to analyze what genre (consumption classification) a user's consumption activities belong to. [Brief explanation of the drawing]

[0009] [Figure 1] Block diagram showing an example configuration of a consumer behavior analysis system according to one embodiment. [Figure 2] Block diagram showing an example configuration of a consumer behavior analysis device according to one embodiment. [Figure 3] This figure shows a specific example illustrating a consumer behavior analysis method according to one embodiment. [Figure 4] This figure shows a specific example illustrating a consumer behavior analysis method according to one embodiment. [Figure 5] This figure shows an example of the configuration of the display screen for purchase target consumption trend analysis data according to one embodiment. [Modes for carrying out the invention]

[0010] Embodiments of the present invention will be described below with reference to the drawings. Figure 1 is a block diagram showing an example configuration of a consumer behavior analysis system according to one embodiment. In Figure 1, the consumer behavior analysis device 1 sends and receives data with the analysis requester terminal 2 via a communication line. The analysis requester terminal 2 is a terminal used by the analysis requester. The analysis requester uses the analysis requester terminal 2 to specify the analysis area and analysis period to be analyzed to the consumer behavior analysis device 1. The consumer behavior analysis device 1 provides the analysis results to the analysis requester terminal 2 based on the specifications of the analysis area and analysis period received from the analysis requester terminal 2.

[0011] The consumer behavior analysis device 1 sends and receives data to and from the database 3 via a communication line. The database 3 stores information such as terminal location history information showing the location history of the user terminal 4 connected to the mobile communication network NW, user attribute information showing the attributes of the user using the user terminal 4, purchase history data recording the purchase history of the user using the user terminal 4 (goods and services), map data, facility information showing various facilities located in the area included in the map data, purchase purpose nature information showing the predetermined nature of the purchase purpose for the purchase item, user information (SNS user information) on SNS (Social Networking Service) registered by the user using the user terminal 4, and web information, which is information on the access history of the user's web access using the user terminal 4.

[0012] User terminal 4 is a mobile device such as a smartphone or a tablet computer (tablet PC). The mobile communication network NW may be a mobile communication network provided by a single carrier, or it may be multiple mobile communication networks provided by multiple carriers.

[0013] Figure 2 is a block diagram showing an example configuration of the consumer behavior analysis device 1 according to this embodiment. In Figure 1, the consumer behavior analysis device 1 comprises a communication unit 11, a storage unit 12, and a control unit 13.

[0014] The communication unit 11 communicates with external devices of the consumer behavior analysis device 1. The communication unit 11 sends and receives data with the analysis requester terminal 2 via the communication line. The communication unit 11 sends and receives data with the database 3 via the communication line.

[0015] The storage unit 12 stores various types of data such as the programs executed by the control unit 13 and the data used by the control unit 13. Note that the storage unit 12 is composed of a non-volatile memory such as a hard disk drive, a magneto-optical disk drive, a flash memory, a recording medium that can only be read such as a CD-ROM, a volatile memory such as a DRAM (Dynamic Random Access Memory), or a combination thereof.

[0016] The control unit 13 includes a CPU (Central Processing Unit) and realizes various functions by executing the programs stored in the storage unit 12. The control unit 13 according to the present embodiment includes, as its functional units, a reception unit 20, a purchase history data acquisition unit 21, a behavior 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] Note that 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. Also, each function of the consumption behavior analysis device 1 may be realized by cloud computing. Further, the consumption behavior analysis device 1 may be realized by a single computer, or the functions of the consumption behavior analysis device 1 may be distributed and realized by a plurality of computers. Also, 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 for designating an analysis area to be analyzed, an analysis period, and the like. The reception unit 21 receives the designation of the analysis area, the analysis period, and the like by receiving the analysis request information from the analysis requester terminal 2.

[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 such as the location (including physical stores and online shops), date and time, purchased item, and purchase price of the goods or services purchased by each user terminal 4 during the period including the area and analysis period including the specified analysis area received by the reception unit 21. Furthermore, purchase history data may include related information concerning the purchased item. For example, in cases where the payment date and the date of use of the purchased item are separate for prepaid purchases such as advance tickets for events, advance express tickets for bullet trains, or advance hotel accommodation vouchers, the date of use may be recorded along with the attributes of the prepaid purchase item. In addition, for purchases where the usage fee is paid in a lump sum (bulk purchases), such as electronic multi-ride tickets or fixed-rate subscriptions to shared services, data such as the date of use based on the purchased item may be obtained, and in this case as well, the date of use may be recorded along with the attributes of the bulk use.

[0020] The behavior information acquisition unit 22 accesses the database 3 via the communication unit 11 and acquires behavior information from the database 3. The storage unit 12 stores the behavior information acquired by the behavior information acquisition unit 22. The behavior information is information that indicates the user behavior of each user using the user terminal 4 during the period including the area and analysis period, which are specified by the reception unit 21.

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

[0022] The allocation unit 23 assigns a consumption category to the purchase target indicated by the purchase history data based on behavioral information. Examples of consumption categories include travel, cooking, music, art, culture, and sports. The analysis unit 24 analyzes the consumption trends of the purchase target purchased by the user based on the purchase history data and the consumption category assigned 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 user's purpose of activity over a predetermined period based on the activity information. For example, if a user's activity information for a particular day (the predetermined period) is visiting an art museum, the user's purpose of activity for that day is estimated to be a hobby activity (art).

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

[0026] The allocation unit 23 may assign a consumption classification to the purchase target for a predetermined period, according to the behavioral purpose estimated by the estimation unit 231. For example, for the purchase target "museum admission ticket," the consumption classification "art," which is pre-associated with the behavioral purpose "hobby activity (art)" estimated by the estimation unit 231, may be assigned.

[0027] The purchase purpose nature information acquisition unit 25 accesses the database 3 via the communication unit 11 and acquires purchase purpose nature information from the database 3. The storage unit 12 stores the purchase purpose nature information acquired by the behavior information acquisition unit 22. The purchase purpose nature information is information that indicates the predetermined nature of the purchase purpose for the item being purchased. The nature of the purchase purpose includes specific purposes and general purposes. Specific purposes are fixed properties. General purposes are general properties.

[0028] For example, museum entrance tickets are purchased for a specific, fixed purpose, such as a hobby. On the other hand, transportation tickets and food and beverage expenses are purchased for a variety of purposes, so the nature of the purchase purpose for transportation and food and beverage expenses is that of a general purpose with a general nature.

[0029] The allocation unit 23 may assign a consumption classification to a purchase target for a predetermined period based on the purchase purpose nature information and the behavioral purpose estimated by the estimation unit 231. For example, the allocation unit 23 assigns a consumption classification to a purchase target for a specific purpose based on that specific purpose. On the other hand, the allocation unit 23 assigns a consumption classification to a purchase target for a general purpose according to the behavioral purpose.

[0030] For example, for the purchase target "museum admission ticket," the purchase purpose nature information is a specific purpose "hobby," so regardless of the behavioral purpose "hobby activity (art)" estimated by the estimation unit 231, the consumption classification "art," which is pre-associated with the specific purpose "hobby activity (art)," is assigned. On the other hand, for the purchase targets "transportation expenses" and "food and beverage expenses," the purchase purpose nature information is a general purpose, so the consumption classification changes depending on the behavioral purpose. For example, for the purchase target "transportation expenses," if the behavioral purpose estimated by the estimation unit 231 is "hobby activity (art)," the consumption classification "art," which is pre-associated with the behavioral purpose "hobby activity (art)," is assigned. For example, for the purchase target "food and beverage expenses," if the behavioral purpose estimated by the estimation unit 231 is "hobby activity (art)," the consumption classification "art," which is pre-associated with the behavioral purpose "hobby activity (art)," is assigned.

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

[0032] (Example of setting the action period 1) The estimation unit 231 sets the action period for each action information based on multiple action information that each represents one of the user's multiple user actions, ensuring that the action periods do not overlap. For example, if the default value for the action period is set to one day, and the user watches a movie in the morning and watches a sporting event in the afternoon of the same day, the unit sets separate action periods for the morning and afternoon, rather than using one day as the action period.

[0033] (Example of setting the action period 2) The estimation unit 231 sets an action period for each action information, allowing for overlapping action periods, based on multiple action information that each represents one of the user's multiple user actions.

[0034] The allocation unit 23 may assign a consumption classification of the purchase target during the activity period according to the activity purpose estimated by the estimation unit 231. For example, if a user watches a movie in the morning of a day (activity purpose "hobby activity (movie)") and watches a sporting event in the afternoon of the same day (activity purpose "hobby activity (sports)"), the consumption classification "culture," which is pre-associated with the activity purpose "hobby activity (movie)," is assigned to the morning activity period, and the consumption classification "sports," which is pre-associated with the activity purpose "hobby activity (sports)," is assigned to the afternoon activity period.

[0035] The allocation unit 23 may assign different consumption classifications to overlapping and non-overlapping periods when the activity periods overlap. For example, it may assign consumption classifications corresponding to specific purposes for each activity period to periods when the activity periods do not overlap, while assigning consumption classifications corresponding to general purposes to periods when the activity periods overlap.

[0036] The assignment unit 23 may assign multiple consumption classifications to a single purchase item based on multiple behavioral information, each representing one of the user's multiple user actions.

[0037] The allocation unit 23 may assign a consumption classification to the purchase target based on the user's location information included in the behavioral information and the location information of the 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 activity (movie)") and watches a sporting event in the afternoon of the same day (behavioral purpose "hobby activity (sports)"), and has lunch at a place closer to the sporting event venue than the movie theater during the lunch break between the morning and afternoon, the allocation unit 23 will assign the consumption classification "sports," which is pre-associated with the behavioral purpose "hobby activity (sports)," to the cost of lunch (general purpose).

[0038] The analysis unit 232 analyzes the accompanying status based on the behavioral information of the user and other users. For example, if the first user and the second user purchase the same items at the same time and place (for example, if they have lunch at the same restaurant at noon), the system may determine that the first user and the second user are "accompanying each other".

[0039] The allocation unit 23 may assign a consumption classification to the purchase target based on the analysis results of the accompanying status by the analysis unit 232. For example, if a customer has lunch at the same restaurant at noon, even if they watched a movie in the morning, the consumption classification "socializing," which is pre-associated with "accompanied status," will be assigned to the lunch expenses (general purpose), rather than the consumption classification "culture," which is pre-associated with the behavioral purpose "hobby activity (movie)."

[0040] The SNS user information acquisition unit 26 accesses the database 3 via the communication unit 11 and acquires 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 includes hobby information, posting information, and community information that the user has registered on the SNS.

[0041] The allocation unit 23 may assign a consumption category to the purchase target based on SNS user information. For example, for general-purpose transportation expenses and food and beverage expenses, it may assign the consumption category "music," which is pre-associated with hobbies (e.g., listening to music) indicated in the hobby information registered on SNS.

[0042] The output unit 27 outputs purchase target consumption trend analysis data, which shows the results of the analysis of the purchase target consumption trends by the analysis unit 24. The purchase target consumption trend analysis data output from the output unit 27 is transmitted to the analysis requester terminal 2 by the communication unit 11.

[0043] Figures 3 and 4 are diagrams illustrating specific examples for explaining the consumer behavior analysis method according to this embodiment. User behavior is information that identifies the user's actions, as indicated by the behavior information acquired by the behavior information acquisition unit 22.

[0044] In the specific example shown in Figure 3, the user traveled from their home to the nearest station to the museum (the location) between 6:00 and 8:00 using public transportation and paying for transportation expenses (general purpose). Since this transportation expense (general purpose) was for the purpose of going to the museum, the consumption category "Art" is assigned to it, which is pre-associated with the behavioral purpose "Hobby (Art)". Next, between 8:00 and 10:00, the user arrived at the museum and paid the museum entrance fee (specific purpose "Hobby (Art)"). Then, between 10:00 and 12:00, the user visited the special exhibition being held at the museum, purchased merchandise (specific purpose "Hobby (Art)"), and also purchased advance tickets for the next special exhibition (specific purpose "Hobby (Art)"). For these items purchased at the museum, the consumption category "Art" is assigned to them, which is pre-associated with the specific purpose "Hobby (Art)".

[0045] Next, the user paid for lunch (general purpose) at a restaurant near the art museum between 12:00 and 14:00. Since this lunch expense (general purpose) was spent at a restaurant closer to the art museum than the museum that the user would visit later in the afternoon, the consumption category "Art" is assigned to this expense, which is pre-associated with the behavioral purpose "Hobby Activities (Art)".

[0046] Next, between 2 PM and 4 PM, the user traveled by public transport to the nearest station to the museum, their next destination, using transportation expenses (general purpose). Since this transportation expense (general purpose) was for the purpose of going to the museum, the consumption category "Culture," which is pre-associated with the behavioral purpose "Hobby (Educational)," is assigned to it. Next, between 2 PM and 4 PM, the user arrived at the museum and paid the museum entrance fee (specific purpose "Hobby (Educational)"). Next, between 4 PM and 6 PM, the user visited the special exhibition being held at the museum and purchased merchandise (specific purpose "Hobby (Educational)"). For these items purchased at the museum, the consumption category "Culture," which is pre-associated with the specific purpose "Hobby (Educational)," is assigned to them.

[0047] Next, between 6 PM and 8 PM, the user paid for dinner (general purpose) at a restaurant they had reserved in advance. Since this dinner (general purpose) was spent at a restaurant reserved in advance for use after visiting the museum, the consumption category "Culture," which is pre-associated with the behavioral purpose "Hobby Activities (Education)," is assigned to it.

[0048] Next, between 8 PM and 10 PM, the user traveled home using public transportation and paid for transportation expenses (general purpose). Since this transportation expense (general purpose) was for returning from the museum, the consumption category "Culture," which is pre-associated with the activity purpose "Hobby Activities (Education)," is assigned to it. Then, between 10 PM and midnight, the user went to sleep.

[0049] In the specific example shown in Figure 4, the user traveled by train from home to work between 6:00 and 8:00, using transportation expenses (general purpose). During this commute, the user accessed the web using user terminal 4 to obtain information about a special exhibition at an art museum. Therefore, the transportation expenses (general purpose) for this commute are assigned the consumption category "Art," which is pre-associated with the activity purpose "Hobby Activities (Art)," due to the acquisition of information about the special exhibition at the art museum.

[0050] Next, the user started work at their workplace between 8:00 and 10:00, and conducted meetings and desk work between 10:00 and 12:00.

[0051] Next, the user paid for lunch (general purpose) at an art-themed concept cafe between 12:00 and 14:00. During this lunch, the user used user terminal 4 to access the web and performed a more detailed search on information about museum exhibitions that had been obtained during their commute. Therefore, the consumption category "Art," which is pre-associated with the behavioral purpose "Hobby Activities (Art)," is assigned to this lunch expense (general purpose).

[0052] Next, the user conducted meetings and desk work between 2 PM and 4 PM, and then continued desk work between 4 PM and 6 PM.

[0053] Next, between 6 PM and 8 PM, the user made a detour on their way home to gather information about a museum's special exhibition. At this time, the user purchased an art magazine and a travel guidebook. The transportation costs for this return trip (general purpose), the cost of the art magazine, and the travel guidebook could be attributed to either the "hobby activity (fine arts)" or the "hobby activity (erudition)" objectives. Therefore, the consumption classification could be assigned to either the "art" category, which is pre-associated with the "hobby activity (fine arts)" objective, or the "culture" category, which is pre-associated with the "hobby activity (erudition)" objective. Examples 1 and 2 of the consumption classification assignment method in this case are shown below.

[0054] (Example 1 of how to assign consumption classifications) Transportation expenses (for general purposes), art magazines, and travel guidebooks are split equally. For each of these split amounts (i.e., half of the total of transportation expenses (for general purposes), art magazines, and travel guidebooks), one party is assigned the consumption category "Arts," and the other party is assigned the consumption category "Culture."

[0055] (Example 2 of how to assign consumption categories) For the total amount of transportation expenses (general purpose), art magazines, and travel guidebooks, the allocation rate for consumption categories "Art" and "Culture" is determined according to the user's priorities. For example, if it is determined based on the user's SNS user information that the user has a greater interest in art than in hobbies (general knowledge), then the consumption category "Art" may be allocated to the total amount of transportation expenses (general purpose), art magazines, and travel guidebooks. For example, if it is determined based on the user's SNS user information that the user has an equal level of interest in hobbies (general knowledge) and hobbies (art), then half of the total amount of transportation expenses (general purpose), art magazines, and travel guidebooks may be allocated to one category and half to the other.

[0056] Next, the user returned home between 8 PM and 10 PM and had dinner at home.

[0057] Next, between 10 PM and midnight, the user accessed the web using user terminal 4 to collect information on art museums and museums, and purchased tickets for each. For the art museum ticket price, the consumption category "Art," which is pre-associated with the behavioral purpose "Hobby Activity (Fine Arts)," is assigned. Similarly, for the museum ticket price, the consumption category "Culture," which is pre-associated with the behavioral purpose "Hobby Activity (Education)," is assigned.

[0058] Furthermore, between 10 PM and midnight, the user used user terminal 4 to access the web in preparation for visiting the museum, making a reservation for accommodation near the museum and purchasing an outfit through online shopping. The expenditure on this outfit was assigned the consumption category "Art," which is pre-associated with the activity purpose "Hobby Activity (Art)."

[0059] Figure 5 shows an example of the configuration of the display screen for purchase target consumption trend analysis data according to this embodiment. The purchase target consumption trend analysis data display screen 100 shown in Figure 5 displays the aggregated results of spending by age group during the analysis period in a bar graph for each consumption category. The analysis requester can specify an analysis area in the analysis area specification area 101 provided within the display screen 100. Map data is displayed in the analysis area specification area 101 in response to the map data loading operation by the analysis requester. The map data is obtained from database 3. The analysis requester specifies the desired analysis area 102 on the map data displayed in the analysis area specification area 101. The analysis requester can also specify the analysis period using the "data period" specification area provided within the display screen 100. Furthermore, the analysis requester can specify various analysis conditions using the various analysis condition specification areas provided within the display screen 100.

[0060] Furthermore, the consumption classification may be predetermined as a multi-level classification structure consisting of, for example, major and minor categories.

[0061] In the embodiments described above, an example of assigning consumption classifications was given where the payment date and time of the purchase and the implementation date are the same, such as when paying for transportation or museum entrance fees on-site, and this was used as the target date and time for assigning consumption classifications. However, the invention is not limited to this. For example, in the case of prepaid or lump-sum purchases, the payment date and time of the purchase and the implementation date are different. In this case, the implementation date and time of the purchase may be used as the target date and time for assigning consumption classifications, or the implementation date and time of the purchase may be estimated from behavioral data such as location information, and the estimated date may be used as the target date and time for assigning consumption classifications. Furthermore, for lump-sum purchases, if the number of uses is fixed, such as with a multi-use ticket, an equal amount may be set for each use, and a consumption classification may be set for each use. Furthermore, for fixed-rate purchases, the date and time and number of uses may be recorded in the purchase history data, and the fixed-rate amount may be apportioned according to the number of uses, and a consumption classification may be set for each use.

[0062] This embodiment provides the benefit of being able to analyze what kind of category (consumption classification) a user's consumption activities belong to.

[0063] Furthermore, this will enable an overall improvement in service quality, for example, in consumer activity analysis services that utilize location data from user terminals connected to mobile communication networks, thereby contributing to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs), "Build resilient infrastructure, promote sustainable industrialization and foster innovation."

[0064] Although embodiments of the present invention have been described in detail above with reference to the drawings, the specific configuration is not limited to these embodiments, and design modifications and the like are also included within the scope of the gist of the present invention.

[0065] Alternatively, computer programs for realizing the functions of each of the above-mentioned devices may be recorded on a computer-readable recording medium, and the programs recorded on this recording medium may be loaded into a computer system and executed. The term "computer system" here may include hardware such as an operating system and peripheral devices. Furthermore, if a WWW system is being used, the "computer system" shall also include the homepage provisioning environment (or display environment). Furthermore, "computer-readable recording media" refers to writable non-volatile memory such as flexible disks, magneto-optical disks, ROMs, and flash memory, portable media such as DVDs (Digital Versatile Discs), and storage devices such as hard disks built into computer systems.

[0066] Furthermore, "computer-readable recording media" also includes volatile memory (such as DRAM (Dynamic Random Access Memory)) within computer systems that act as servers or clients when programs are transmitted via networks such as the Internet or communication lines such as telephone lines, which retain programs for a certain period of time. Furthermore, the above program may be transmitted from a computer system that stores the program in a memory device or the like to another computer system via a transmission medium or by transmission waves within the transmission medium. Here, the "transmission medium" used to transmit the program refers to a medium that has the function of transmitting information, such as a network (communication network) like the Internet or a communication line (communication line) like a telephone line. Furthermore, the above program may be intended to implement some of the functions described above. It may also be a so-called differential file (differential program) that can implement the aforementioned functions in combination with programs already recorded in the computer system. [Explanation of symbols]

[0067] 1...Consumer behavior analysis device, 2...Analysis requester terminal, 3...Database, 4...User terminal, 11...Communication unit, 12...Storage unit, 13...Control unit, 20...Reception unit, 21...Purchase history data acquisition unit, 22...Behavioral information acquisition unit, 23...Allocation unit, 24...Analysis unit, 25...Purchase purpose and 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 acquires purchase history data that records the history of a user's purchase of the item, A behavior information acquisition unit that acquires behavior information indicating the user's actions, An assignment unit that assigns a consumption classification of the purchase target indicated by the purchase history data based on the behavioral information, An analysis unit analyzes the consumption trends of the purchased items purchased by the user based on the purchase history data and the consumption classification assigned by the allocation unit, A consumer behavior analysis device equipped with the following features.

2. The allocation unit includes an estimation unit that estimates the user's behavioral purpose during a predetermined period based on the behavioral information. The allocation unit assigns the consumption classification of the purchase target during the predetermined period according to the behavioral purpose estimated by the estimation unit. The consumer behavior analysis device according to claim 1.

3. The system further includes a unit for acquiring purchase purpose nature information that acquires purchase purpose nature information indicating the predetermined nature of the purchase purpose for the item to be purchased. The allocation unit assigns the consumption classification of the purchase target during the predetermined period based on the purchase purpose nature information and the behavioral purpose estimated by the estimation unit. The consumer behavior analysis device according to claim 2.

4. The nature of the aforementioned purchase purpose includes specific purposes and general purposes. The aforementioned allocation unit is For purchases made for a specific purpose, a consumption classification is assigned based on that specific purpose. For general-purpose purchases, assign consumption categories according to the purpose of the purchase. The consumer behavior analysis device according to claim 3.

5. The allocation unit includes an estimation unit that estimates the user's behavioral purpose based on the behavioral information. The estimation unit sets an action period corresponding to the user's action objective based on the action information. The allocation unit assigns the consumption classification of the purchase target during the behavior period according to the behavioral purpose estimated by the estimation unit. The consumer behavior analysis device according to claim 1.

6. The estimation unit sets the action period for each action information based on the multiple action information that each represents a multiple user action of the user, and sets the action periods so that they do not overlap. The consumer behavior analysis device according to claim 5.

7. The estimation unit sets the action period for each action information based on the plurality of action information that each represents a plurality of user actions of the user. The allocation unit, when the action periods overlap, assigns different consumption classifications to the overlapping period and the non-overlapping period. The consumer behavior analysis device according to claim 5.

8. The allocation unit assigns a plurality of consumption classifications to a single purchase item based on the plurality of behavioral information, each of which represents a plurality of user actions of the user. The consumer behavior analysis device according to claim 1.

9. The allocation unit assigns a consumption classification to the purchase target based on the user's location information included in the behavioral information and the location information of the facility identified by the user's purchase information included in the purchase history data. The consumer behavior analysis device according to claim 1.

10. The assignment unit further comprises an analysis unit that analyzes the companion status based on the respective behavioral information of the user and other users. The allocation unit assigns the consumption classification of the purchase target based on the analysis results of the accompanying status by the analysis unit. The consumer behavior analysis device according to claim 1.

11. The system further includes an SNS user information acquisition unit that acquires the user information of the user on the SNS to which the user is registered. The allocation unit assigns the consumption category of the item to be purchased based on the user information. The consumer behavior analysis device according to claim 1.

12. A consumer behavior analysis method performed by an information processing device, A purchase history data acquisition step that obtains purchase history data that records the history of a user's purchase of the item, A behavior information acquisition step involves acquiring behavior information that indicates the user's actions, An assignment step of assigning a consumption category of the purchase target indicated by the purchase history data based on the behavioral information, An analysis step that analyzes the consumption trends of the purchased items purchased by the user, based on the purchase history data and the consumption classification assigned in the assignment step, Consumer behavior analysis methods including

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