Measurement device, measurement method, and measurement program

Abstract

To appropriately analyze the relationship between web pages and visit behaviors to specific stores.SOLUTION: A measurement device includes: a collection unit that collects information regarding communication terminals owned by users who have viewed a plurality of web pages respectively and information regarding communication terminals owned by users who have visited a store; and a measurement unit that, based on a page group in which the plurality of web pages are grouped together in page units and the information collected by the collection unit, measures the number of users who have viewed the web pages included in the page group among the users who have visited the store.SELECTED DRAWING: Figure 4

Description

[Technical field]

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

[0002] Nowadays, many companies are posting Web advertisements to attract customers. By analyzing the advertising effectiveness of each Web advertisement posted, companies can understand the characteristics of advertisements that attract high customer rates and decide the place and period of advertisement posting, etc.

[0003] There are many different ways to analyze advertising effectiveness, and different customer information and analysis methods are required depending on the purpose of the analysis. One known method of analyzing advertising effectiveness is to analyze advertising effectiveness from the browsing history of web advertisements posted on the Internet and the user's store visit history (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2008-21303 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, conventional technologies analyze the advertising effectiveness for each web page by using the browsing history of specific web pages, and it is difficult to say that they are able to adequately analyze the relationship between web pages and visit behavior to specific stores. [Means for solving the problem]

[0006] The measurement device according to the present application is characterized by having a collection unit that collects information regarding the communication terminals owned by each user who viewed each of a plurality of Web pages and information regarding the communication terminals owned by users who visited the store, and a measurement unit that counts the number of users who visited the store and viewed Web pages included in the page group based on page groups in which a plurality of Web pages are grouped on a page basis and 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 that the relationship between a web page and a visit behavior to a specific store can be appropriately analyzed. [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 for explaining a setting process for a specific Web page in the reference technique. [Diagram 3] FIG. 3 is a diagram for explaining a process of generating a page group by the measurement device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of the configuration of a measurement device according to an 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 information stored in the measurement device 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 another example of the measurement method according to the embodiment. [Figure 10] FIG. 10 is a flowchart illustrating an example of a processing procedure of the measurement processing according to the embodiment. [Figure 11] FIG. 11 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 segments and needs by analyzing their customer attributes and purchase histories to gain a deeper understanding of their customers. When companies conduct customer analysis, it is important to understand the behavioral history of customers. For example, the effectiveness of advertising can be analyzed from the browsing history of customers' web advertisements.

[0011] A conventional technique is known that analyzes the relationship between browsing history of a specific web page and visit history to a specific store to evaluate the extent to which a specific web page has an impact on attracting customers. However, the conventional technique analyzes each specific web page or all web pages under a specific specified path (directory), so there is room for improvement in the analysis of the relationship between a web page and visit behavior to a specific store.

[0012] Therefore, the measurement device according to the present embodiment aims to appropriately analyze the relationship between a web page and the behavior of visiting a specific store. Specifically, the measurement device measures the number of customers who viewed web pages included in a page group, which is a collection of any web pages, among customers visiting a specific store. This allows the measurement device 10 to analyze the relationship between a freely created page group and the behavior of visiting a specific store, and therefore provides a variety of analysis results according to the contents of the page group.

[0013] 2. Overall Structure Here, a measurement system including a measurement device according to the present 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 communication terminal A owned by a user are each connected via a network N, and the first communication device 20 and the communication terminal A are connected without the network N. The measurement device 10 is a computer that transmits and receives information to and from the first communication device 20 and the communication terminal, and stores information about the communication terminal.

[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. This 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 20 is installed in "Store X", connects to "communication terminal A" owned by user A who visits "Store X", and stores information about the communication terminal.

[0016] The types of wireless communication performed by the first communication device 20 include, for example, Wi-Fi, Bluetooth (registered trademark), and near field communication (NFC). In the example of FIG. 1, the communication terminal owned by each user who visits the store is determined based on the presence or absence of communication with the first communication device 20, but the determination method is not limited to this, and for example, the communication terminal owned by each user who visits the store may be determined by a Global Navigation Satellite System (GNSS) positioning technology including a Global Positioning System (GPS). When the GNSS positioning technology is utilized, the first communication device 20 does not need to be installed.

[0017] [3. Problems with the Reference Technology] As described above, in recent years, the advertising effectiveness of Web advertisements has been analyzed by analyzing the relationship between the browsing history of a specific Web advertisement and the visit history of a specific store. In addition, for the browsing history of a specific Web advertisement to be analyzed, a tag is placed on the target Web page, and whether or not it has been viewed is determined based on the reaction of the tag. Here, the setting process of the Web page to be analyzed in the reference technology will be described. FIG. 2 is a diagram for explaining the setting process of the specific Web page in the reference technology.

[0018] In the example in Figure 2, "A", "B", "C", "A1", etc., each represent a web page, and "A1", "A2", and "A3" exist under the "A" directory. Similarly, "B1", "B2", and "B3" exist under the "B" directory, and "C1", "C2", and "C3" exist under the "C" directory. In this situation, if you want to analyze the relationship between the browsing history of multiple web pages and the visit history of a specific store, you would set all of the pages under the directory. For example, when setting multiple web pages under "A", you would set all of "A1", "A2", and "A3".

[0019] Therefore, it is not possible to set only "A1" and "A2" under "A", or to set web pages of "A1", "B2", and "C3" in different directories as the target of analysis all at once. For example, if the web pages of each branch of a specific store's homepage are not all collected under one directory, it is not possible to analyze all of the web pages of each branch at once. Therefore, it is difficult to say that the reference technology properly analyzes the relationship between the browsing history of an arbitrary web page (web advertisement) desired by the person wishing to analyze and the visit history of a specific store, and there is room for improvement in the analysis of the relationship between a web page and visit behavior to a specific store.

[0020] 4. Processing performed by measuring equipment In consideration of the problems of the above-mentioned reference technology, the measurement device 10 can appropriately analyze the relationship between a web page and a visit behavior to a specific store. Specifically, the measurement device 10 collects information on the communication terminals owned by each user who viewed each of a plurality of web pages and information on the communication terminals owned by users who visited the store, and counts the number of users who viewed the web pages included in the page group among the users who visited the store, based on the page group in which a plurality of web pages are grouped by page and the collected information.

[0021] Here, a description will be given of a process for setting a Web page to be analyzed, which is performed by the measurement device 10. Fig. 3 is a diagram for explaining a process for generating a page group by the measurement device according to the embodiment. Fig. 3 shows an example of a page group generated by the measurement device 10 for the Web page shown in Fig. 2.

[0022] The measurement device 10 generates a page group consisting of URLs of multiple web pages using the URL (Uniform Resource Locator) of each web page, which is an example of a page unit, and sets the page group as an analysis target. In this way, the measurement device 10 can set all of the pages "A1", "A2", and "A3" under the directory "A", as well as set only "A1" and "A2", which are some pages under "A", and can also set the web pages "A1", "B2", and "C3" in different directories as a group of analysis targets.

[0023] For example, even if the web pages of each branch of a particular store's homepage are not organized under a single directory, all the web pages of each branch can be grouped together and analyzed. In other words, the measurement device 10 can analyze the relationship between the browsing history of web pages included in a page group consisting of any web pages selected by the person wishing to analyze and the visit history of a particular store, and therefore can provide a variety of analysis results according to the contents of the page group.

[0024] 5. Configuration of the Measuring Device 10 Next, a configuration of the measurement device 10 shown in Fig. 1 will be described. Fig. 4 is a diagram showing an example of the configuration of the measurement device according to the embodiment. As shown in Fig. 4, the measurement device 10 according to the embodiment has a communication unit 11, a control unit 12, and a storage unit 13.

[0025] 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 the first communication device 20 via the network N.

[0026] 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.

[0027] The collected information storage unit 13a stores information collected by the collection unit 12a described below regarding the communication terminal that viewed a specific page, information regarding the communication terminal owned by each user who visited each of multiple stores, and information regarding the attributes of the users who own the communication terminals.

[0028] Here, the data stored in the collected information storage unit 13a will be described. Fig. 5 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. Fig. 5 shows examples (1) to (3) according to the contents of the collected information. Below, the examples (1) to (3) in Fig. 5 will be described in order.

[0029] Figure 5 (1) shows a specific example of information collected about a communication terminal that viewed a specific web page, and is composed of items of connection date and time and connected terminal. Here, the connection date and time stores the date and time when the web page and the communication terminal were connected (the date and time when the communication terminal displayed the web page), and the connected terminal stores the unique information of the communication terminal that was connected to the web page. Note that the unique information of the communication terminal refers to information that can identify the communication terminal, such as the serial number of the communication terminal or a personal ID set in an external application installed on the communication terminal.

[0030] For example, the collected information storage unit 13a stores "Serial number of communication terminal: XXX" for a communication terminal that connected (viewed) "Page A1 (https: / / www...A1)" at the connection date and time "6 / 8 10:00 01".

[0031] Next, Fig. 5 (2) shows a specific example of information collected about a communication terminal owned by a user who visited a specific store, and is composed of items of connection date and time, connected terminal, radio wave strength, and connection time. Here, the connection date and time stores the date and time when a connection was made with a communication device installed in a specific store, and the connected terminal stores the unique information of the communication terminal that was connected with the communication device. In addition, 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.

[0032] For example, the collected information memory unit 13a stores, for a communication terminal connected to a first communication device 20 installed in store X at the connection date and time "6 / 15 10:00 01", "serial number of communication terminal: ○○○○○○", "radio wave strength: -60dbm", and "connection time: 45m".

[0033] Fig. 5 (3) shows a specific example of information collected about the attributes of a user who owns a communication terminal, and is composed of items of terminal information, user ID, gender, and age. Here, the terminal information stores information unique to the communication terminal, and the user ID stores an ID given to the user who owns the communication terminal. Also, the gender and age store the gender and age, respectively, of the user who owns the communication terminal.

[0034] For example, the collected information storage unit 13a stores "User ID: 001", "Gender: Male", and "Age: 42" for "Serial number of communication terminal: XXX".

[0035] The group information storage unit 13b stores information on page groups, which are groups of multiple Web pages on a page-by-page basis, and information on store groups, which are made up of multiple stores. Here, the data stored in the group information storage unit 13b will be described. FIG. 6 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. In FIG. 6, an example of a page group is shown in (1), and an example of a store group is shown in (2). Below, the examples of (1) and (2) in FIG. 6 will be described in order.

[0036] 6(1) shows a specific example of information stored for a page group, which is composed of the items of group number and page information. Here, the group number stores the number assigned to each page group, and the page information stores the URLs of each web page that composes the group.

[0037] For example, the group information storage unit 13b stores "https: / / www...A1" and "https: / / www...A2" as page information for "group number: 1."

[0038] 6(2) shows a specific example of information stored for a store group, which is composed of the items of group number and store information. Here, the group number stores a number assigned to each store group, and the store information stores unique information of each store that constitutes the group, such as the store name and store ID.

[0039] For example, the group information storage unit 13b stores "Store A, Store B, . . . " as store information for "group number: 1."

[0040] The measurement result storage unit 13c stores information measured by the measurement unit 12c described later. Here, the data stored in the measurement result storage unit 13c will be described. FIG. 7 is a diagram showing a specific example of information stored in the measurement device according to the embodiment. In the example of FIG. 7, counting results (1) and (2) by two counting methods are shown. Below, the counting results (1) and (2) will be described in order.

[0041] The aggregation result in Figure 7 (1) shows an example of the number of users who visited a specific store after viewing a specific web page, aggregated for each page group, and is composed of the items "URL Group," "Page Visits," "unique Page Visits," "Walkins," "unique Walkins," and "unique Walkins Rate."

[0042] Here, "URLGroup" stores the group number assigned to each page group. "PageVisits" stores the number of views of web pages included in the page group, and "uniquePageVisits" stores the number of users who viewed a web page included in the page group at least once. "Walkins" stores the number of visits by users who viewed a web page included in the page group and visited a specific store (if one user visits a store twice, it is counted twice), and "uniqueWalkins" stores the number of users who viewed a web page included in the page group and visited a specific store at least once (if one user visits a store twice, it is counted once). "uniqueWalkinsRate" stores the value calculated by "uniqueWalkins / uniquePageVisits".

[0043] For example, the measurement result storage unit 13c stores, for "URLGroup:1", "PageVisits:1735971", "uniquePageVisits:499904", "Walkins:1597", "uniqueWalkins:1404", and "uniqueWalkinsRate:0.28%".

[0044] The tabulation results in Fig. 7(2) show an example of further tabulating the tabulation results in Fig. 7(1) by user attributes, and are composed of the items "URLGroup", "PageVisits", "uniquePageVisits", "Walkins", "uniqueWalkins", and "uniqueWalkinsRate", as well as "gender" and "age". Here, "gender" stores the user's gender, and "age" stores the user's age.

[0045] For example, the measurement result storage unit 13c stores "PageVisits:787595", "uniquePageVisits:246554", "Walkins:731", "uniqueWalkins:620", and "uniqueWalkinsRate:0.25%" for "gender:Male", "age:55-59" of "URLGroup:1".

[0046] Returning to the explanation of Fig. 4, 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, a generation unit 12b, and a measurement unit 12c.

[0047] The collecting unit 12a collects information about the communication terminal owned by each user who viewed each of the multiple Web pages, and information about the communication terminal owned by a user who visited a store. For example, the collecting unit 12a collects the date and time when "Page A1" was viewed, "6 / 8 10:00 01", and the unique information of the communication terminal, "Serial number of communication terminal: XXX", by using a tag or the like placed on "Page A1" where a Web advertisement is displayed, and stores the collected information in the collected information storage unit 13a (see FIG. 5).

[0048] In addition, the collection unit 12a collects, for example, information such as "serial number of communication terminal: XXXXXX", "radio wave strength: -60dbm", and "connection time: 45m" for a communication terminal connected on "6 / 15 10:00 01" stored in the first communication device 20 installed in "Store X", and stores the information in the collected information memory unit 13a (see Figure 5).

[0049] The collection unit 12a determines that a user of a communication terminal has visited a store by using, for example, location information of the communication terminal that has communicated with a communication device installed in the store or location information of the communication terminal acquired by an external application installed in the communication terminal using the above-mentioned GNSS positioning technology.

[0050] 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 collects information from the communication device that can identify 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, and stores the information in the collected information storage unit 13a.

[0051] The collection unit 12a further collects information on the attributes of the user who visited the store. For example, the collection unit 12a collects "User ID: 001", "Gender: Male", and "Age: 42" set in an external application preinstalled in a communication terminal "Serial number of communication terminal: XXXXXX" owned by a user who was determined to have visited the store, and stores the collected information in the collected information storage unit 13a (see FIG. 5).

[0052] The generating unit 12b generates a page group based on the URL (Uniform Resource Locator) of each of the multiple Web pages. For example, the generating unit 12b acquires the URLs "https: / / www...A1" and "https: / / www...A2" of multiple Web pages "Page A1" and "Page A2" selected from outside, and generates a page group by grouping the pages on a URL basis. The generating unit 12b then assigns a group number "1" to the generated page group and stores "Page Group 1" in the group information storage unit 13b (see FIG. 6).

[0053] Here, the selection of the web pages that make up the page group may be set externally by the person wishing to analyze, or the measuring device 10 may set web pages extracted based on certain criteria, such as the content published on the web pages.

[0054] The generating unit 12b further generates a store group including multiple stores. For example, the generating unit 12b acquires the store name (e.g., "Store A"), which is unique information of each of multiple stores selected from outside, such as "Store A", "Store B", etc., and generates a store group by grouping the stores. The generating unit 12b then assigns a group number "1" to the generated store group and stores "Store Group 1" in the group information storage unit 13b (see FIG. 6).

[0055] Here, the selection of stores that make up a store group may be externally set by the person wishing to perform the analysis, or the measuring device 10 may select stores based on certain criteria, such as the products sold at the stores.

[0056] The measurement unit 12c counts the number of users who visited the store and viewed the Web pages included in the page group based on the page group, which is a group of multiple Web pages on a page-by-page basis, and the information collected by the collection unit 12a. Then, the measurement unit 12c stores the measured information in the measurement result storage unit 13c. For example, the measurement unit 12c refers to the information stored in the collected information storage unit 13a and the page group stored in the group information storage unit 13b, and counts the number of communication terminals owned by users who are determined to have visited the store and viewed the Web pages included in the page group among the communication terminals owned by the users who are determined to have visited the store. Then, the measurement unit 12c stores the measured information in the measurement result storage unit 13c.

[0057] More specifically, for example, when "Store X" is externally set as the analysis target and "Page Group 1: A1, A2" is generated as a page group, the number of communication terminals that viewed either the web page "A1" or "A2" included in "Page Group 1" and visited "Store X" within a predetermined period of time is counted by matching the unique information of the communication terminal linked to "Store X" with the unique information of the communication terminal linked to each of the web pages included in "Page Group 1".

[0058] This enables the measurement unit 12c to link the behavior of browsing a Web page included in a page group with the behavior of visiting a particular store, and to measure the number of users who performed both of these actions.

[0059] Here, the relationship between the user's behavior as a measurement target and the measurement process of the measurement unit 12c described above will be described. Fig. 8 is a diagram showing a specific example of a measurement method according to an embodiment. The upper part of Fig. 8 shows the user's behavior as a measurement target in chronological order, and the lower part of Fig. 8 shows items whose measurement numbers change according to the user's behavior.

[0060] In the example of FIG. 8, before a user visits "Store X", the user views web page "A1" and then web page "B2". In this example, the measurement device 10 collects information about the communication terminal owned by the user at the time when the user viewed "A1", the time when the user viewed "B2", and the time when the user visited "Store X". As a result, the measurement device 10 determines that the user viewed "A1" and "B2" within a predetermined period from the time when the user visited "Store X".

[0061] Therefore, the measurement device 10 performs the following for the "URLGroup1 (A1, A2)" column: The items "PageVisits" and "uniquePageVisits" each measure "+1" for one visit to "A1." Similarly, the measurement device 10 measures the items "Walkins" and "uniqueWalkins" each measure "+1" for one visit to "Store X."

[0062] On the other hand, for the "URLGroup2 (A1, B2, C3)" column, the measurement device 10 measures "+2" for the "PageVisits" item due to one visit to "A1" and one visit to "B2." For the other items, it measures "+1" for each item, similar to the above-mentioned "URLGroup1 (A1, A2)" column.

[0063] This allows the measurement unit 12c to appropriately measure the number of users who performed each of the measurement target actions in FIG. 8 for each page group.

[0064] In addition, in the above explanation, an example in which the store to be analyzed is a specific one store has been shown, but the present invention is not limited to this, and the measurement unit 12c can set any multiple stores as the analysis target. Specifically, the measurement unit 12c can measure the number of users who visited a store included in a store group and viewed a web page included in a page group.

[0065] For example, the measurement unit 12c refers to the information stored in the collected information storage unit 13a, the page groups stored in the group information storage unit 13b, and the store groups stored in the group information storage unit 13b to count the number of communication terminals owned by users who are determined to have visited a store included in the store group and have viewed a web page included in the page group, among the communication terminals owned by users who are determined to have visited a store included in the store group.

[0066] Furthermore, in addition to the above-mentioned processing, the measurement unit 12c can classify and measure users to be measured according to the attributes of the users. Specifically, the measurement unit 12c can count the number of users who visited the store and viewed the web pages included in the page group for each attribute of the users.

[0067] For example, the measurement unit 12c refers to information on communication terminals that viewed a specific Web page stored in the collected information storage unit 13a, information on communication terminals owned by users who visited a specific store, and page groups stored in the group information storage unit 13b, as well as user attribute 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 a store included in the store group, among the communication terminals owned by users who are determined to have viewed a Web page included in the page group, in an item corresponding to the attributes of the users who own the communication terminals.

[0068] Here, a measurement method in which the measurement unit 12c performs the measurement process for each user attribute will be described. Fig. 9 is a diagram showing another example of the measurement method according to the embodiment. The upper part of Fig. 9 shows the user's actions to be measured in chronological order, and the lower part of Fig. 9 shows items whose measurement numbers change according to the user's attributes and actions.

[0069] In the example of FIG. 9, before the user visits "Store X", the user views the web page "A1" and the web page "B2" in that order. In this example, the measurement device 10 collects the "serial number: XXX" of the communication terminal owned by the user for each of the time when the user viewed "A1", the time when the user viewed "B2", and the time when the user visited "Store X", and also collects information "user ID: 001, gender: male, age: 42" linked to the "serial number: XXX". As a result, the measurement device 10 determines that the user "user ID: 001, gender: male, age: 42" who owns the communication terminal with "serial number: XXX" viewed "A1" and "B2" within a predetermined period from the time when the user visited "Store X".

[0070] Therefore, for the "gender: Male" and "age: 40-44" columns of "URLGroup1 (A1, A2)", the measurement device 10 measures "+1" for each of the "PageVisits" and "uniquePageVisits" items due to one viewing of "A1", as in the example of Fig. 8. Similarly, the measurement device 10 measures "+1" for each of the "Walkins" and "uniqueWalkins" items due to one visit to "Store X".

[0071] This allows the measurement unit 12c to appropriately measure the number of users who performed each of the measurement target actions in FIG. 9 in a location corresponding to the gender and age of the user.

[0072] 6. Processing flow of the measuring device 10 Next, the flow of processing of the measurement device 10 will be described. Fig. 10 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 that viewed the Web page and information on the communication terminal owned by the user who visited the store (S101). For example, the collection unit 12a collects unique information of the communication terminal determined to have viewed the Web page based on a tag or the like placed on the Web page, and unique information of the communication terminal determined to have visited the store based on a connection with a communication device placed in the store.

[0073] Then, the generating unit 12b generates a page group and a store group (S102). For example, the generating unit 12b generates a page group, which is a collection of a plurality of selected web pages, by using the URLs of the plurality of web pages selected from outside. Also, the generating unit 12b generates a store group, which is a collection of a plurality of selected stores, by using the store IDs of the plurality of stores selected from outside.

[0074] Next, the measurement unit 12c counts the number of users who visited a store included in the store group and viewed a Web page included in the page group (S103). For example, the measurement unit 12c counts the number of communication terminals owned by users who are determined to have visited a store included in the store group and viewed a Web page included in the page group. Then, the measurement device 10 ends the process after processing S103.

[0075] 7. Effects As described above, the measurement device 10 can measure users who visited a specific store and viewed a web page included in a page group by collecting browsing histories of multiple web pages and visit histories of a specific store. As a result, the measurement device 10 can analyze the relationship between the browsing history of a web page included in a page group composed of any web page selected by the person who wishes to analyze and the visit history of a specific store, and can provide a variety of analysis results according to the contents of the page group.

[0076] Furthermore, the measurement device 10 can generate a page group using the URL of each web page. As a result, the measurement device 10 can set any web pages as analysis targets regardless of the hierarchical structure (directory) of the web pages, and provide the analysis results.

[0077] The measurement device 10 can also generate a store group consisting of multiple stores, set the store group as the stores to be analyzed, and perform analysis. As a result, the measurement device 10 can set multiple stores selected by the person requesting analysis as the stores to be analyzed, so that any stores can be set as the analysis targets collectively, and the analysis results can be provided.

[0078] In addition, the measurement device 10 can classify and measure the browsing history and store visit history of the user in more detail according to the attributes of the user to be measured. As a result, the measurement device 10 can provide information that allows the user to know which gender and age group has the greatest influence, or which gender and age group has the least influence, on the web page set as the analysis target.

[0079] [8. 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. 11. Fig. 11 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.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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 forms described in the Disclosure of the Invention section.

[0086] [9. Others] 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.

[0087] 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]

[0088] 10. Measurement Equipment 11 Communications Department 12 Control section 12a Collection Section 12b Generator 12c Measurement section 13 Storage section 13a Collected information storage unit 13b Group information storage section 13c Measurement result storage section 20 First communication device

Claims

1. a collection unit that collects information about a communication terminal owned by each user who has viewed each of the plurality of web pages and information about a communication terminal owned by a user who has visited the store; a counting unit that counts the number of users who visited the store and viewed the web pages included in the page group based on a page group obtained by grouping the plurality of web pages by page units and information collected by the collection unit; A measuring device comprising:

2. The system further includes a generating unit that generates the page group based on the uniform resource locators (URLs) of the plurality of web pages.

2. The measuring device according to claim 1 .

3. The generation unit further generates a store group including a plurality of the stores; The measurement unit measures the number of users who visited a store included in the store group and viewed a web page included in the page group based on the information collected by the collection unit and the page group and the store group generated by the generation unit.

3. The measuring device according to claim 2.

4. The collection unit further collects information regarding attributes of users who visit the store, the measurement unit, based on a page group obtained by grouping a plurality of web pages by page unit and the information collected by the collection unit, measures the number of users who visited the store and viewed the web pages included in the page group for each attribute of the users; 2. The measuring device according to claim 1 .

5. A measurement method performed by a measurement device, comprising: a collection step of collecting information on a communication terminal owned by each user who viewed each of the plurality of web pages and information on a communication terminal owned by a user who visited the store; a measuring step of measuring the number of users who visited the store and viewed the web pages included in the page group based on the page groups obtained by grouping the plurality of web pages by page units and the information collected by the collecting step; A measuring method comprising:

6. a collection step of collecting information on a communication terminal owned by each user who has viewed each of a plurality of web pages and information on a communication terminal owned by a user who has visited a store; a measuring step of measuring the number of users who visited the store and viewed the web pages included in the page group based on the page groups obtained by grouping the plurality of web pages by page units and the information collected by the collecting step; A measurement program that causes a computer to execute the above steps.

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