Measurement device, measurement method, and measurement program

Abstract

To appropriately analyze the behavior of visitors at a specific store.SOLUTION: A measurement device includes: a collection unit that collects information regarding communication terminals owned by users who visit a plurality of stores respectively; and a measurement unit that measures the number of users who visit a second store included in the plurality of stores within a predetermined period, among users who have visited a first store included in the plurality of stores, based on the information collected by the collection unit.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a measurement apparatus, a measurement method, and a measurement program. [Background technology]

[0002] Today, many companies are seeking analytical information on consumer trends to formulate their business strategies. By analyzing consumer trends, companies can understand the effectiveness of advertising campaigns and customers' hobbies and preferences, and implement effective marketing to existing and new customers.

[0003] There are many different ways to analyze customer trends, and the customer information and analysis methods required vary depending on the purpose of the analysis. As one way to analyze customer trends, a technology is known that uses a customer's purchase history to analyze the customer's hobbies and preferences (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2016-136410 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, conventional techniques are limited to analyzing a customer's behavioral history using the customer's past purchase history, and it is difficult to say that they are able to appropriately analyze the behavior of customers at a particular store. [Means for solving the problem]

[0006] The measurement device of the present application is characterized by having a collection unit that collects information regarding communication terminals owned by each user who visits each of a plurality of stores, and a measurement unit that counts the number of users who visited a first store included in the plurality of stores within a specified period of time based on the information collected by the collection unit. Effect of the Invention

[0007] According to one aspect of the embodiment, it is possible to provide an effect of appropriately analyzing the behavior of customers at a particular store. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing a measurement system according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing a specific example of a user's behavior that is a target of the measurement process according to the embodiment. [Diagram 3] FIG. 3 is a diagram illustrating an example of the configuration of the measurement device according to the embodiment. [Figure 4] FIG. 4 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. [Diagram 5] FIG. 5 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. [Figure 6] FIG. 6 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. [Figure 7] FIG. 7 is a diagram showing a specific example of the measurement method according to the embodiment. [Figure 8] FIG. 8 is a diagram showing a specific example of the measurement method according to the embodiment. [Figure 9] FIG. 9 is a diagram showing a specific example of the measurement method according to the embodiment. [Figure 10] FIG. 10 is a diagram showing another example of the measurement result according to the embodiment. [Figure 11] FIG. 11 is a flowchart illustrating an example of a processing procedure of the measurement processing according to the embodiment. [Figure 12]FIG. 12 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, a detailed description will be given of a mode for carrying out the measurement device, the measurement method, and the measurement program according to the present application (hereinafter, referred to as "embodiments") with reference to the drawings. Note that the measurement device, the measurement method, and the measurement program according to the present application are not limited to these embodiments. In addition, the same parts in the following embodiments are given the same reference numerals, and duplicated descriptions are omitted.

[0010] (Embodiment) 1. Introduction In recent years, an increasing number of companies are creating management strategies tailored to their customer demographics and needs by analyzing the attributes and purchase history of their customers to gain a deeper understanding of them. When conducting customer analysis, it is important for companies to understand the behavioral history of their customers. For example, the effectiveness of advertising can be analyzed from the customer's advertisement viewing history. In customer analysis, the customer's interest in competitors is also important, and is considered to be information related to acquiring new customers and retaining existing customers.

[0011] Therefore, there is a need to analyze the behavior of customers before and after visiting the company's stores, as well as their interest in competitors. However, conventional technology is limited to referencing customers' purchasing history and is unable to analyze information such as the places customers visited before visiting the store or the advertisements they viewed, making it difficult to say that customer behavior is being analyzed appropriately.

[0012] Therefore, the measurement device according to the present embodiment aims to appropriately analyze the behavior of customers who visit a specific store. Specifically, the measurement device performs processing to measure the number of customers who visit a specific store by distinguishing whether or not they viewed advertisements or the like before visiting the store and whether or not they visited other stores within a predetermined period before and after the store visit. This allows the measurement device 10 to analyze the behavior of customers who visit a specific store from the time of their visit to the store until the predetermined period before or after the predetermined period.

[0013] 2. Overall structure Here, a measurement system including a measurement device according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing the measurement system according to the embodiment. In the measurement system shown in the example of Fig. 1, a measurement device 10, a first communication device 20 installed in a store, and a second communication device 30 installed in another store are connected via a network N.

[0014] Various communication networks such as the Internet can be used for the network N. Various stores such as a car dealer, a supermarket, and a department store can be used for the stores shown in FIG. 1. The number of stores is an example and can be changed as desired. Multiple communication devices may be installed in one store.

[0015] The first communication device 20 is connected to a communication terminal A and a communication terminal B. The first communication device 20 is an example of a communication device that performs wireless communication with a communication terminal owned by a user within a certain range, and is, for example, a wireless router device that connects the communication terminal to a network N. For example, the first communication device is a <x>" and "CARS <x>The system connects to "communication terminal A" owned by user A who visits the store, and "communication terminal B" owned by user B, and stores information about each communication terminal.

[0016] The second communication device 30 is connected to the communication terminal A. Like the first communication device 20, the second communication device 30 is an example of a communication device that performs wireless communication with a communication terminal owned by a user within a certain range, and is, for example, a wireless router device that connects the communication terminal to a network N. For example, the second communication device 30 is a <y>" and "CARS <y>It connects to "Communication Terminal B" owned by User B who visits the store and stores information about the communication terminal.

[0017] The types of wireless communication performed by the first communication device 20 and the second communication device 30 include, for example, Wi-Fi, Bluetooth (registered trademark), and near field communication (NFC).

[0018] The measuring device 10 is a computer that transmits and receives information to and from a first communication device 20 or a second communication device 30 via a network N, and stores information about each communication device and a communication terminal connected thereto.

[0019] Such a measuring device 10 compiles the behavioral history of users who visit a particular store, such as users who visit the store after seeing a web advertisement for a campaign or store, users who visit the store after seeing a website for a campaign or store, and users who visit the store without seeing a web advertisement or website, and provides information that allows one to understand the extent to which a campaign or the like has influenced users.

[0020] Specifically, the measurement device 10 collects information regarding the communication terminals owned by each user who visits each of the multiple stores, and based on the collected information, counts the number of users who visited a first store included in the multiple stores and then visited a second store included in the multiple stores within a specified period of time.

[0021] For example, the measurement device 10 may be a <x>"CARS <x>" and collect information on "Communication Device A" and "Communication Device B" owned by each user who visits "CARS <y>"CARS <y>" collects information about "communication terminal A" owned by users who visit the store.

[0022] Then, the measurement device 10 performs the "CARS <x>" is set as the first store, "CARS <x>" Within a certain period of time from the time of your visit, you will visit our second store "CARS <y>For example, in the example of FIG. 1, the measurement device 10 counts the number of users who visit the "CARS <x>" After 20 days from the time of your visit, which is within the specified period, "CARS <y>", so the number of people measured will be increased by "+1".

[0023] As described above, the measurement device 10 can appropriately analyze the behavior of customers at a specific store by determining whether or not a user who visited a first store visited other stores within a specified period before and after the visit.

[0024] Here, an example of the behavior of a visitor will be described. Fig. 2 is a diagram showing a specific example of the behavior of a user that is a target of the measurement process according to the embodiment. The example in Fig. 2 shows the behavior of a user A (communication terminal A) who visited two different car dealerships after viewing an automobile advertisement.

[0025] Specifically, user A first accesses the CARS <y>User A then browses the ad for "CARS <x>" User A then visits the "CARS <x>" CARS <y>" store.

[0026] In this example, the measurement device 10 detects that the first store is a "CARS <y>", then "CARS <y>" " within the designated period up to 30 days before the visit <y>" and visit the second store, "CARS <x>As a result, the measurement device 10 counts User A in the corresponding summary table as an advertisement viewer and a user who visited the second store.

[0027] Here, in the above description, an example of measuring users who visited the second store before visiting the first store was shown, but this is not limited thereto, and the measurement device 10 can measure users who visited the second store after visiting the first store by a similar process. In addition, the above-mentioned second store is, for example, an arbitrary store set from outside, and can be a specific store, or can be a group consisting of multiple stores as described later. Furthermore, the relationship between the first store and the second store can be, for example, a parent company and a subsidiary company relationship, or a competitor relationship.

[0028] 1, the communication terminal owned by each user who visited each store is determined based on the presence or absence of communication with the first communication device 20 or the second communication device 30, but the determination method is not limited to this, and for example, the communication terminal owned by the user who visited each store may be determined by a GNSS (Global Navigation Satellite System) positioning technology including a GPS (Global Positioning System). Note that when the GNSS positioning technology is utilized, the first communication device 20 and the second communication device 30 do not need to be installed.

[0029] 3. Configuration of the Measuring Device 10 Next, a configuration of the measurement device 10 shown in Fig. 1 will be described. Fig. 3 is a diagram showing an example of the configuration of the measurement device according to the embodiment. As shown in Fig. 3, the measurement device 10 according to the embodiment has a communication unit 11, a control unit 12, and a storage unit 13.

[0030] The communication unit 11 is realized by, for example, a network interface card (NIC) etc. For example, the communication unit 11 is connected to a network N by wire or wirelessly, and transmits and receives information to and from a first communication device 20, a second communication device 30, etc. via the network N.

[0031] The storage unit 13 is realized by a storage device such as a RAM (Random Access Memory), a hard disk, etc. The storage unit 13 stores data and programs necessary for various processes by the control unit 12, and particularly stores a collected information storage unit 13a, a group information storage unit 13b, and a measurement result storage unit 13c as those closely related to the present invention.

[0032] The collected information memory unit 13a stores information about the communication terminals owned by each user who visited each of the multiple stores, and the communication terminals that viewed a web advertisement or website related to the first store, collected by the collection unit 12a described below.

[0033] Here, the data stored in the collected information storage unit 13a will be described. FIG. 4 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. The example in FIG. 4 shows the data stored in "CARS <x>1 shows information regarding a first communication device 20 installed in " " and a communication terminal connected thereto.

[0034] Specifically, the collected information storage unit 13a stores, for each communication terminal that has been connected to the first communication device 20, the unique information of the communication terminal, the radio wave strength, and the connection time for each connection date and time. Here, the unique information of the communication terminal stores information that can identify the communication terminal, such as the serial number of the communication terminal and a personal ID set in an external application installed on the communication terminal. The radio wave strength stores the radio wave strength of a Wi-Fi connection between the communication terminal and the communication device, and the connection time stores the connection time between the communication terminal and the communication device. The collected information storage unit 13a stores, for example, "CARS <x>For the communication terminal connected to the first communication device 20 installed at "6 / 15 10:00 01" and the connection date and time "6 / 15 10:00 01", the following is stored: "Serial number of communication terminal: XXXXX", "Radio wave strength: -60dbm", and "Connection time: 45m".

[0035] The group information storage unit 13b stores information about groups consisting of multiple stores. Here, the data stored in the group information storage unit 13b will be described. FIG. 5 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. The example in FIG. 5 shows information grouped according to the contents of products in each store. Here, the group information storage unit 13b is composed of items such as group name and store information. The group name stores the classification criteria for classifying each store, and stores information arbitrarily set according to the contents of products sold by the store (only domestic cars, only foreign cars), the address of the store (within Tokyo's 23 wards), etc., for example. In addition, the store information stores the store name, store ID, etc. of the store selected to satisfy the contents of the above-mentioned group name.

[0036] For example, the group information storage unit 13b stores "CARS 」、「CARS 」、「CARS <x>Similarly, for the "foreign cars only" group, information on shops that only sell foreign cars is linked and stored. In other words, the group information storage unit 13b stores shops that meet the content of a group name in association with the group name.

[0037] The measurement result storage unit 13c stores information measured by the measurement unit 12b described later. Here, data stored in the measurement result storage unit 13c will be described. FIG. 6 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. Here, the measurement result storage unit 13c is configured with items such as a behavior pattern, the number of advertisement (site) views, the number of visits to the own store, and a ratio (%). The behavior pattern stores the behavior history of the measurement target user, and stores, for example, information indicating whether the user has visited another store. In addition, the number of advertisement (site) views stores, for example, the number of times a specific advertisement (site) was viewed within a preset period, and the number of visits to the own store stores, for example, the number of users who visited the own store within a preset period and satisfied the corresponding behavior pattern. In addition, the ratio (%) stores a value calculated by "the number of visits to the own store / the number of advertisement (site) views".

[0038] In the above description, the terms "number of advertisement views," "number of site views," and "number of store visits" refer to the number of unique users. Here, the term "unique user number" is a criterion for judging the traffic volume of a website and refers to the number of users who visited a specific site within a certain period of time, but even if the same user visits multiple times, the number of unique users is measured only once. In other words, the term "number of advertisement views" and "number of site visits" refer to "the number of people who viewed a web advertisement at least once" and "the number of people who viewed a website at least once," respectively. Furthermore, the measurement device 10 according to this embodiment applies the number of unique users to the number of store visitors in addition to the traffic volume of a website. In other words, the term "number of store visits" refers to "the number of people who visited the store at least once."

[0039] In the example of Fig. 6, the counting results (1) to (3) by the three counting methods are shown. Below, the counting results (1) to (3) will be explained in order. In the examples of Fig. 6 (1) to (3), the first store will be represented as "your store" and the second store will be represented as "another store."

[0040] The counting results in FIG. 6(1) show an example of counting store visitors (hereinafter also referred to as Real Sight: RS) who viewed a web advertisement within a predetermined period from visiting the store, distinguishing whether or not they visited other stores within the predetermined period. The above-mentioned RS includes store visitors (Real People: RP) who viewed a web advertisement distributed from a specific advertisement distribution system within a predetermined period from visiting the store. Specifically, for "behavior pattern: visited other stores", "number of advertisement views: 14100", "number of visits to the store: 42", and the ratio (number of visits to the store / number of advertisement views) is shown to be "percentage (%): 0.30". On the other hand, for "behavior pattern: not visited other stores", "number of advertisement views: 14100", "number of visits to the store: 55", and "percentage (%): 0.39" are shown.

[0041] The tabulation results in Figure 6 (2) show an example of tabulating customers who viewed a website within a specified period from when they visited the store (hereinafter also referred to as Vital Sight: VS) based on whether they visited other stores within the specified period. Specifically, for "behavior pattern: visited other stores," the results are "site views: 10,000," "visits to the store: 82," and "percentage (%): 8.2." On the other hand, for "behavior pattern: not visited other stores," the results are "site views: 10,000," "visits to the store: 68," and "percentage (%): 6.8."

[0042] The counting results in Figure 6 (3) show an example of counting visitors who came to the store without browsing the web advertisement or website (hereinafter referred to as Venue Vitalics: VV) according to whether they visited other stores within a specified period. Specifically, for "behavior pattern: visited other stores", "number of visits to the store: 72" is shown. On the other hand, for "behavior pattern: not visited other stores", "number of visits to the store: 154" is shown.

[0043] Returning to the explanation of Fig. 3, the control unit 12 is realized by a CPU (Central Processing Unit), MPU (Micro Processing Unit), etc., executing various programs stored in a storage device inside the measuring device 10 using a RAM as a working area. The control unit 12 is also realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 12 has a collection unit 12a and a measurement unit 12b.

[0044] The collection unit 12a collects information on the communication terminal owned by each user who visits each of a plurality of stores. For example, the collection unit 12a determines that the user of the communication terminal has visited the store by using the communication terminal that has communicated with a communication device installed in each store and the position information of the communication terminal acquired by an external application installed in the communication terminal using the above-mentioned GNSS positioning technology.

[0045] Then, the collection unit 12a acquires information from the communication device or the communication terminal, such as, for example, the serial number of the communication terminal owned by the user determined to have visited the store, information capable of identifying the communication terminal, such as a personal ID set in an external application installed on the communication terminal, radio wave strength of a Wi-Fi connection between the communication terminal and the communication device, and connection time between the communication terminal and the communication device, and stores the information in the collected information storage unit 13a.

[0046] In addition, when collecting information on communication devices installed in each store and communication terminals connected thereto, the collection unit 12a, for example, determines that a communication terminal that has conducted wireless communication such as Wi-Fi or Bluetooth with a communication device installed at any location inside or outside the store is a communication terminal present within the store, and obtains information capable of identifying the communication terminal, such as a serial number, as well as information such as the radio wave strength of the wireless communication and the connection time of the wireless communication, from the communication device, and stores the information in the collected information storage unit 13a.

[0047] The collecting unit 12a also collects information on the communication terminal owned by the user who viewed the Web advertisement or website related to the first store. For example, the collecting unit 12a collects information that can identify the communication terminal, such as the serial number of the communication terminal that viewed the Web advertisement or website, from tags or the like installed on a page displaying a Web advertisement for a product of the first store, a website introducing the first store, the homepage of the first store, or the homepage of the company that operates the first store, and stores the collected information in the collected information storage unit 13a.

[0048] In this embodiment, the web advertisement refers to an advertisement displayed on a search engine or SNS, and the website refers to a homepage created as an advertisement for a specific product or store.

[0049] The measurement unit 12b measures the number of users who visited a first store included in the multiple stores within a predetermined period of time, and who visited a second store included in the multiple stores. For example, the measurement unit 12b refers to the information stored in the collected information storage unit 13a, and measures the number of communication terminals owned by users who are determined to have visited the first store within a predetermined period of time, and who are determined to have visited a second store within the predetermined period of time. More specifically, the measurement unit 12b performs a process of measuring the number of communication terminals linked to both the first store and the second store, for example, by matching information on the communication terminal linked to the first store with information on the communication terminal linked to the second store within a predetermined period of time.

[0050] Here, the predetermined period refers to a period up to a certain period before or after the visit to the first store, and can be either a period up to or after the certain period. In other words, if the predetermined period is set to 30 days, the measurement device 10 measures the number of users who visited the second store during a total of 60 days from the visit date to the first store up to 30 days before and 30 days after the visit date to the first store.

[0051] The predetermined period may be, for example, an arbitrary period preset by a user who desires the measurement results, or may be a period determined by the measurement device 10 according to information on products and the like in the first store. Furthermore, the predetermined period may be a short period such as one day or one week, or a long period such as one year.

[0052] For example, a specific store for which analysis is desired is set as the second store from the outside. <x>" is the first store, and "CARS <y>When "CARS <x>" CARS <y>The number of communication terminals owned by users who are determined to have visited the store is counted.

[0053] The measurement unit 12b can measure the number of users who visited at least one of the stores in a group consisting of a plurality of second stores within a predetermined period among the users who visited the first store. For example, the measurement unit 12b refers to the information stored in the group information storage unit 13b and measures the number of users who visited any store included in the "domestic cars only" group within a predetermined period from the time of visiting the first store.

[0054] This allows the measurement device 10 to analyze users who visited any store that sells only domestically produced cars within a predetermined period of time from the time of visiting a specific store. Note that the grouping contents and target stores may be set externally, or the measurement device 10 may perform grouping by referring to the information of each store.

[0055] Here, referring to FIG. 7 to FIG. 9, in addition to the above-mentioned measurement process, an example of classifying measurement targets according to the behavior of a user browsing a Web advertisement or a Web site within a predetermined period from the time of visiting the store will be described. Each of FIG. 7 to FIG. 9 is a diagram showing a specific example of a measurement method according to an embodiment. In each of the examples of FIG. 7 to FIG. 9, the first store is expressed as "your store" and the second store is expressed as "another store", and "30 days" is set in advance as the predetermined period. In addition, in FIG. 7 to FIG. 9, the presence or absence of a user's behavior from the time of visiting the store until 30 days before is described, but the processing of the measurement device 10 is not limited to this, and for example, the presence or absence of a user's behavior from the time of visiting the store until 30 days after may be measured.

[0056] First, with reference to FIG. 7, a process for measuring a visitor (RS) who viewed a Web advertisement within a predetermined period from visiting the user's own store will be described. The example of FIG. 7 (A) shows that the user viewed a Web advertisement and visited another store in that order within 30 days from visiting the user's own store. In this example, the measurement device 10 collects information on the communication terminal owned by the user at the time when the user viewed the Web advertisement, visited the other store, and visited the user's own store. As a result, the measurement device 10 determines that the user viewed an advertisement and visited the other store within 30 days from visiting the user's own store, and therefore measures "+1" in the "Number of advertisement views" column for both "Visit to other store" and "No visit to other store" and measures "+1" in the "Number of visits to the user's own store" column for "Visit to other store".

[0057] On the other hand, the example of FIG. 7B shows that the user only viewed advertisements within 30 days from visiting the store. In this example, the measurement device 10 collects information on the communication terminal owned by the user at the time when the user viewed a Web advertisement and at the time when the user visited the store. As a result, the measurement device 10 determines that the user viewed advertisements within 30 days from visiting the store, and therefore measures "+1" in the "Number of advertisement views" column for both "Visits to other stores" and "No visits to other stores" and measures "+1" in the "Number of visits to the store" column for "No visits to other stores."

[0058] Next, a process for measuring a visitor (VS) who viewed a website within a predetermined period from visiting the user's own store will be described. The example of FIG. 8 (C) shows that the user visited another store and viewed a website in that order within 30 days from visiting the user's own store. In this example, the measurement device 10 collects information on the communication terminal owned by the user at the time when the user viewed a website, visited another store, and visited the user's own store. As a result, the measurement device 10 determines that the user viewed a site and visited another store within 30 days from visiting the user's own store, and therefore measures "+1" in the "site views" column for both "visited other stores" and "not visited other stores" and measures "+1" in the "visits to the user's own store" column for "visited other stores."

[0059] On the other hand, the example of FIG. 8 (D) shows that the user only viewed the website within 30 days from the time of visiting the own store. In this example, the measurement device 10 collects information on the communication terminal owned by the user for each of the time when the user viewed the website and the time when the user visited the own store. As a result, the measurement device 10 determines that the user viewed the site within 30 days from the time when the user visited the own store, and therefore measures "+1" in the "number of site views" column for both "visited other stores" and "not visited other stores" and measures "+1" in the "number of visits to own store" column for "not visited other stores."

[0060] Next, a process for measuring visitors (VV) who visit the user's own store without browsing a web advertisement or website will be described. The example of FIG. 9 (E) shows that the user visited another store within 30 days from the time of visiting the user's own store. In this example, the measurement device 10 collects information on the communication terminal owned by the user at the time of visiting the other store and the time of visiting the user's own store. As a result, the measurement device 10 determines that the user visited another store within 30 days from the time of visiting the user's own store, and therefore measures "+1" in the "Number of visits to the user's own store" column for "Visits to other stores."

[0061] On the other hand, the example of FIG. 9 (F) shows that the user has not performed the behavior to be measured within 30 days from the time of visiting the store. As a result, the measurement device 10 collects information on the communication terminal owned by the user at the time of visiting the store. As a result, the measurement device 10 determines that the user has not performed the behavior to be measured within 30 days from the time of visiting the store, and measures "+1" in the "Number of visits to the store" column for "No visits to other stores."

[0062] By performing the above-mentioned processing, the measurement device 10 can properly count the number of users who performed each of the actions (A) to (F) in Figures 7 to 9 in each of the summary tables RS, VS, and VV.

[0063] In addition, in the explanation so far, an example has been given in which the measurement device 10 measures users who visit the second store within a specified period either before or after visiting the first store, with the time of visiting the first store as the base time. However, this is not limited to this, and for example, it is possible to measure users who visit the second store both within a specified period before and after visiting the first store, or users who visit the second store before visiting the first store and users who visit the second store after visiting the first store.

[0064] Here, as another example of the above embodiment, another example of the measurement result in which the number of users who visited the second store both within a predetermined period before visiting the first store and within a predetermined period after visiting the first store, or the number of users who visited the second store before visiting the first store and the number of users who visited the second store after visiting the first store are measured will be described. FIG. 10 is a diagram showing another example of the measurement result according to the embodiment. In FIG. 10, the first store is expressed as "own store" and the second store is expressed as "other store". In the example of FIG. 10, it is shown that the number of users who performed each behavior is measured for the case of RS users in the behavior patterns of "other store → own store → other store", "own store → other store", "other store → own store", and "own store". In addition, "other store → own store → other store" indicates the behavior of visiting another store, visiting the own store, and then visiting the other store.

[0065] Specifically, the measurement device 10 measures the number of users who viewed a web advertisement within a predetermined period from visiting the user's own store as "15,000," measures the number of users who visited another store within the predetermined period from visiting the user's own store as "15," and measures the ratio as "0.1." Similarly, the measurement device 10 measures the number of users who performed each of the actions of "own store → other store," "other store → own store," and "own store."

[0066] As shown in the example of FIG. 10, the measurement device 10 measures the number of users with various behavioral patterns and lists the measurement results, making it possible to compare the measured numbers of users with each behavioral pattern and providing a variety of analytical information.

[0067] 4. Processing flow of the measuring device 10 Next, the flow of processing of the measurement device 10 will be described. Fig. 11 is a flowchart showing an example of the processing procedure of the measurement processing according to the embodiment. The collection unit 12a of the measurement device 10 collects information on the communication terminal owned by each user who visits each of a plurality of stores (S101). For example, the collection unit 12a determines that the owner of the communication terminal connected to the communication device installed in each of the plurality of stores is the user who visited the store, and collects information that can identify the communication terminal.

[0068] Then, the measurement device 10 accepts the selection of a method for counting the measurement results (S102). For example, the measurement device 10 accepts the selection of one of the above-mentioned counting methods, RS, VS, and VV.

[0069] Next, the measurement unit 12b counts the number of users who visited the first store and visited the second store within a predetermined period according to the received counting method (S103). For example, the measurement unit 12b counts the number of users who performed an action corresponding to the received counting method and visited the first store and visited the second store within a predetermined period from the time of visiting the first store. Then, the measurement device 10 ends the process after the process of S103.

[0070] 5. Effects As described above, the measurement device 10 can measure users who visited a specific store and visited other stores before and after visiting the specific store by collecting information on the communication terminals owned by users who visited each store. As a result, the measurement device 10 can appropriately analyze the behavior of customers at a specific store by tallying up the behavioral history of users who visited the specific store before and after the visit.

[0071] Furthermore, the measurement device 10 further classifies the behavior of users who visited a specific store according to whether or not they viewed a web advertisement or whether or not they viewed a website, and tabulates the behavior history. As a result, the measurement device 10 can provide information that allows the user to grasp the extent to which a campaign or the like influenced users by further tabulating the behavior history before and after the visit of users who visited a specific store, such as users who visited the store after viewing a web advertisement for a campaign or store, users who visited the store after viewing a website for a campaign or store, and users who visited the store without viewing a web advertisement or website.

[0072] Furthermore, the measurement device 10 measures users who visit a specific store and then visit any of the stores in a group of multiple stores within a predetermined period before and after the visit. As a result, the measurement device 10 can provide a variety of measurement results by tallying up the behavioral history of users under various conditions according to the contents of the created group.

[0073] [6. Hardware Configuration] The measuring device 10 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in Fig. 12. Fig. 12 is a diagram showing an example of a hardware configuration. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM 1300, a HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

[0074] The CPU 1100 operates and controls each unit based on a program stored in the ROM 1300 or the HDD 1400. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, programs that depend on the hardware of the computer 1000, and the like.

[0075] The HDD 1400 stores programs executed by the CPU 1100, data used by such programs, etc. The communication interface 1500 receives data from other devices via a predetermined communication network and sends it to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the predetermined communication network.

[0076] The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input / output interface 1600. The CPU 1100 acquires data from the input devices via the input / output interface 1600. The CPU 1100 also outputs generated data to the output devices via the input / output interface 1600.

[0077] The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0078] For example, when the computer 1000 functions as the measuring device 10 in the embodiment, the CPU 1100 of the computer 1000 executes programs loaded onto the RAM 1200 to realize the functions of the control unit 12. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, the CPU 1100 may obtain these programs from other devices via a predetermined communication network.

[0079] Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the Disclosure of the Invention section.

[0080] [7. Other] In addition, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

[0081] In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads and usage conditions. In addition, the above-mentioned embodiments can be appropriately combined within the scope of not causing any contradiction in the processing contents. [Explanation of symbols]

[0082] 10. Measurement Equipment 11 Communications Department 12 Control section 12a Collection Section 12b Measurement section 13 Storage section 13a Collected information storage unit 13b Group information storage section 13c Measurement result storage section 20 First communication device 30 Second communication device< / y> < / x> < / y> < / x> < / x> < / x> < / x> < / x> < / y> < / y> < / y> < / y> < / x> < / x> < / y> < / y> < / x> < / y> < / x> < / x> < / y> < / y> < / x> < / x> < / y> < / y> < / x> < / x>

Claims

1. a collection unit that collects information on a communication terminal owned by each user who visits each of a plurality of stores; a measurement unit that measures the number of users who visit a first store included in the plurality of stores within a predetermined period of time based on the information collected by the collection unit; and A measuring device comprising:

2. The collection unit further collects information regarding a communication terminal owned by a user who viewed a web advertisement related to the first store, The measurement unit measures the number of users who visited the first store, viewed the web advertisement, and visited the second store within a predetermined period of time, based on the information collected by the collection unit.

2. The measuring device according to claim 1 .

3. The collection unit further collects information regarding a communication terminal owned by a user who has viewed a website related to the first store, The measurement unit measures the number of users who visited the first store, browsed the website, and visited the second store within a predetermined period of time, based on the information collected by the collection unit.

2. The measuring device according to claim 1 .

4. The measurement unit measures the number of users who visit the first store and who visit at least one of a group of the second stores within a predetermined period of time.

2. The measuring device according to claim 1 .

5. The collection unit collects information regarding a communication terminal that has wirelessly communicated with a communication device installed in each of the plurality of stores.

2. The measuring device according to claim 1 .

6. A measurement method performed by a measurement device, comprising: A collection step of collecting information on a communication terminal owned by each user who visits each of the plurality of stores; a counting step of counting the number of users who visited a first store included in the plurality of stores within a predetermined period of time based on the information collected by the collecting step; A measuring method comprising:

7. A collection procedure for collecting information on a communication device owned by each user who visits each of a plurality of stores; a measurement step of measuring the number of users who visited a first store included in the plurality of stores within a predetermined period of time based on the information collected by the collection step; A measurement program that causes a computer to execute the above steps.

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