JP2020201650A - Analysis information centralized management device, analysis information centralized management program, and analysis information centralized management method - Google Patents

Abstract

To provide analysis information centralized management technology for displaying user's behavior with respect to content of a store for each Web site so that it can be visually recognized in an unified manner.SOLUTION: An analysis information centralized management device comprises: an acquisition unit that acquires user operation logs for content regarding reservations and ad of a store from a plurality of Web sites; an analysis unit that analyzes user's behavior with respect to the content for each Web site based on the acquired operation log; and a display control unit that aggregates, in response to a display request from an information processing terminal, the user's behavior with respect to the content analyzed for each Web site to display the number of reservations of the store made via a plurality of Web sites and the user's behavior with respect to the content for each Web site on a display unit of the information processing terminal by month or day.SELECTED DRAWING: Figure 1

Description

The present invention relates to a centralized analysis information management device, a centralized analysis information management program, and a centralized analysis information management method.

In recent years, in restaurants, movie theaters, etc., the number of users who reserve seats via a Web site or purchase products sold on the Web site is increasing. The user, for example, uses a search engine to search for a store or the like that provides the service he / she wants to use, accesses the website displayed in the search result, and browses the site. If the site to be accessed is the target site, the user uses the service of that site. On the other hand, if the visited site is not suitable for the purpose, the user does not use the service of the site and moves to another searched website.

For this reason, in recent years, there is a need among website operators to know the access status of users on the Internet. In response to such needs, services are provided that analyze the access status of users to websites and provide the analysis results.

The services provided include information on the number of visitors by page, information on the number of page views (PV), information on the average page stay time, information on the bounce rate, information on the withdrawal rate, and the like. The number of page views is the number of times the web page in the website is displayed on the display of the user's terminal, and the bounce rate is the session (user) in which only one web page was viewed. Percentage of sessions that left the site without moving from the page that started browsing to another page. The withdrawal rate is, for example, the rate at which the user moves to another website or closes the web browser and stops browsing.

In response to such growing needs, for example, a Web analysis program that obtains the aggregated results (aggregated results corresponding to marketing analysis units) from the viewpoint of marketing analysis based on the Web access log is disclosed (for example). , Patent Document 1).

In addition, for example, the tendency of the access history is analyzed for each unit period, the latent characteristic indicating the potential of access to the target access destination is derived for each session, and the frequency distribution of the access for the latent characteristic for each unit period is obtained. On the other hand, principal component analysis is performed, the distribution of latent characteristics is derived for each principal component, a latent characteristic principal component table that associates the distributions of principal components and latent characteristics is generated, and based on the results of principal component analysis, Classify the relative relationship of each principal component into multiple classes, generate a class composition ratio table that associates the classes and the principal component composition ratios for each class, and further associate the classes and the contents of the executed events. It is disclosed that by generating a classification table, an event feature model to be compared is provided for estimating the potential access to the target access destination even for a new customer (even for a new customer). For example, Patent Document 2).

In addition, the acquisition unit that acquires a plurality of analysis results obtained by statistically analyzing the access status to the web page, and the analysis result selected according to a predetermined evaluation index from the plurality of analysis results acquired by the acquisition unit are used. An evaluation unit that generates an evaluation result for each web page in a plurality of web pages in a website based on a predetermined evaluation index, and an image that visualizes the evaluation result generated by the evaluation unit are provided via a network. An access analysis image providing device including an image providing unit is disclosed (for example, Patent Document 3).

Japanese Unexamined Patent Publication No. 2004-258977 Japanese Unexamined Patent Publication No. 2009-244981 Japanese Unexamined Patent Publication No. 2016-167168

As mentioned above, there are many tools for analyzing the access status of web pages, but it is difficult to determine which tool to use and how to evaluate it. For example, as a restaurant owner, he advertises and accepts reservations in various media, but it was difficult to know which medium or course was effective. Also, I suddenly stopped making reservations, but I had no way of knowing the materials and methods to determine what was the cause. Also, I want to see various information, but the places of the information are scattered and it took time to confirm.

The present invention provides an analysis information centralized management technique for displaying the user's behavior with respect to store contents for each website so that it can be visually recognized in a unified manner.

The analysis information centralized management device according to the embodiment of the present invention has an acquisition unit that acquires user operation logs for contents related to store reservations and advertisements from a plurality of websites, and the Web based on the acquired operation logs. For each site, the analysis unit that analyzes the user's behavior with respect to the content and the user's behavior with respect to the content analyzed for each website are aggregated in response to a display request from the information processing terminal, and the plurality of websites It is characterized by including a display control unit that displays the number of reservations made at the store and the behavior of the user with respect to the content for each website on the display unit of the information processing terminal on a monthly or daily basis. And.

The analysis information centralized management device is further characterized by including a behavior unit price calculation unit that calculates a cost for the user's behavior based on the advertising cost for each website and the user's behavior for the content.

The display control unit is characterized in that a warning is highlighted according to the ratio of the cost to a predetermined threshold value.

The display control unit is characterized in that when a future date input by the information processing terminal is input, the display control unit performs a simulation related to the reservation of the store based on the performance information of the store stored in advance and displays it. And.

The analysis information centralized management program according to the embodiment of the present invention acquires user operation logs for contents related to store reservations and advertisements from a plurality of websites on a computer, and based on the acquired operation logs, the Web. The user's behavior with respect to the content is analyzed for each site, and the user's behavior with respect to the content analyzed for each website is aggregated in response to a display request from the information processing terminal, and the user's behavior with respect to the content is aggregated for each website, via the plurality of websites. It is characterized in that a process of displaying the number of reservations made at the store and the behavior of the user with respect to the content for each website on the display unit of the information processing terminal on a monthly or daily basis is executed.

In the analysis information centralized management method according to the embodiment of the present invention, a computer acquires a user's operation log for contents related to store reservations and advertisements from a plurality of websites, and based on the acquired operation log, the Web. The user's behavior with respect to the content is analyzed for each site, and the user's behavior with respect to the content analyzed for each website is aggregated in response to a display request from the information processing terminal, and the user's behavior with respect to the content is aggregated for each website, via the plurality of websites. It is characterized in that a process of displaying the number of reservations made at the store and the behavior of the user with respect to the content for each website on the display unit of the information processing terminal on a monthly or daily basis is executed.

It is possible to display the user's behavior with respect to the store contents of each website so that it can be visually recognized in a unified manner.

FIG. 1 is a diagram illustrating an outline of an analysis information centralized management device according to an embodiment of the present invention. It is an overall schematic diagram in this embodiment. It is a figure which shows an example of the network configuration in this embodiment. It is a figure which shows an example of the structure of the database in this embodiment. It is a figure which shows an example of the information item to be displayed on the store terminal in this embodiment. It is the whole sequence diagram in this embodiment. It is a screen view (No. 1) which shows an example of the analysis information centralized management screen in this embodiment. It is a screen view (No. 2) which shows an example of the analysis information centralized management screen in this embodiment. This is an example of a block diagram of a hardware environment of a computer that executes a program according to the present embodiment.

FIG. 1 is a diagram illustrating an outline of an analysis information centralized management device according to an embodiment of the present invention. The analysis information centralized management device 1 includes an acquisition unit 2, an analysis unit 3, and a display control unit 5. As an example of the analysis information centralized management device 1, the analysis information centralized management device 11 described later can be mentioned.

The acquisition unit 2 acquires the user's operation log for the content related to the store reservation and the advertisement from the plurality of websites 6. As an example of the acquisition unit 2, the analysis unit 12 described later can be mentioned. As an example of the website 6, various media 41 described later can be mentioned.

The analysis unit 3 analyzes the user's behavior with respect to the content for each website 6 based on the acquired operation log. As an example of the analysis unit 3, the analysis unit 12 described later can be mentioned. Examples of the contents include reservation sites and advertisements for reserving tables or seats in stores, which will be described later.

The display control unit 5 aggregates the user's behavior with respect to the content analyzed for each website in response to the display request from the information processing terminal 7, and counts the number of store reservations made via the plurality of websites 6 and the number of store reservations. The user's behavior with respect to the content of each website is displayed on the display unit of the information processing terminal 7 on a monthly or daily basis. An example of the display control unit 5 is a data processing / display control unit 14 described later. An example of the information processing terminal 7 is a store terminal 31, which will be described later.

With this configuration, the user's behavior (action) with respect to the store content of each website can be displayed so as to be centrally visible.

The analysis information centralized management device 1 further includes a behavior unit price calculation unit 4. The behavior unit price calculation unit 4 calculates the cost for the user's behavior based on the advertising cost for each website 6 and the user's behavior for the content. As an example of the behavior unit price calculation unit 4, there is a data processing / display control unit 14 that performs data processing processing (S6) described later.

With this configuration, it is possible to calculate the advertising cost for the user's action.

The display control unit 5 highlights warnings according to the ratio of costs to a predetermined threshold. With this configuration, it is possible to easily grasp the medium that is spending too much on the target value.

When the future due date input by the information processing terminal 7 is input, the display control unit 5 performs a simulation related to the reservation of the store based on the performance information of the store stored in advance and displays it.

With this configuration, it is possible to predict sales, the number of calls, and the effect of media from market conditions and past information, and increase opportunities to further increase profits.

FIG. 2 is an overall schematic view of the present embodiment. Company X, store Y, and store Z are contractors who can use the analysis information centralized management device 11. Company X, store Y, and store Z are, for example, accepting store reservations or posting advertisements on multiple websites via websites provided by companies that specialize in attracting customers. To do.

Company X is, for example, a restaurant that manages a plurality of stores, and store terminals 31a, 31b, etc. are installed in each store. Store terminals 31c and store terminals 31d are installed in store Y and store Z, respectively. Hereinafter, the store terminals may be collectively referred to as the store terminals 31. The store terminal 31 can access the analysis information centralized management device 11 and receive the service.

The various media 41 are websites installed in the Web server device 42a, the Web server device 42b, and the like. The various media 41 (websites such as website A (media A) and website B (media B)) are, for example, sites for making reservations to stores such as restaurants managed by company A, or the Web. It may be a site on which a search engine is installed to provide a Web search service, a media owned by the company (owned media), or the like.

The user accesses the Web server device constituting the various media 41, browses the website, and clicks a button or the like in the website. For such websites

User actions are stored and saved as logs in each Web server device.
The analysis information centralized management device 11 includes an analysis unit 12, an analysis information database (hereinafter, the database is referred to as “DB”) 13, a data processing / display control unit 14, a store record information DB 15, and a contract information DB 16.

The analysis unit 12 accesses the Web server device constituting various media, collects the log, and analyzes the log. The logs include not only access logs, but also various logs related to user actions. The analysis unit 12 analyzes IMP, CVR, CV, CALL, CPC, CPA, ROAS, PV, staying time, store data, reach, referrer, cookie, engagement and the like from the log.

IMP is an abbreviation for impressions, which means that an advertisement is displayed to a user, and the number of times the advertisement is displayed is called "the number of impressions". CVR indicates the conversion rate, which is the ratio of the number of times an advertisement is clicked by a user to the result (conversion) such as the target purchase or membership registration of the site. CV is an abbreviation for conversion, and in the field of marketing, it refers to the final result of a website. CALL indicates a user's action by telephone, such as a telephone inquiry or a telephone reservation.

CPC is an abbreviation for "Cost Per Click" and indicates the cost per click. More specifically, it indicates the cost per click in a pay-per-click type online advertisement in which an advertising cost is incurred for each click of a user, such as a listing advertisement or some banner advertisements.

CPA is an abbreviation for "Cost Per Action", which indicates the cost per customer acquisition, and more specifically, for example, in performance-based or pay-per-click advertising, the cost of acquiring one customer. Shown.

ROAS is an abbreviation for "Return On Advertising Spend", which is a numerical value obtained by dividing the sales generated via an advertisement by the advertisement cost, and represents the cost effectiveness of the advertisement. ROAS can be calculated by sales ÷ advertising cost × 100 (%), and means “recovery rate of invested advertising cost”.

PV is an abbreviation for "Page View", which represents the number of times a website or a specific page in the website has been viewed, and is widely used as a general index for measuring the scale of a website.

The staying time indicates the contact time of the site per contact person of the target website. The store data is, for example, store information acquired from the company's website (owned media). Reach is the rate of arrival of an advertisement and is an index showing how many users have contacted a specific content.

The referrer indicates the page from which the user who came to a page was browsing immediately before. The referrer is recorded in the access log of the web server, and not only the behavior of the user who has transitioned from the external site but also the page previously viewed on the same site is recorded as the referrer.

Cookie is a mechanism to temporarily write and save data on a visitor's computer through a web browser. Cookie is used to identify a visitor and is an element of a personalization system that customizes the content displayed for each visitor. Widely used as a technology.

Engagement represents the intimacy, strength of connection, attachment, etc. between a company and a consumer, and it depends on what the engagement index is used. For example, in the case of social networking service (SNS), " You can calculate the engagement rate from "likes", "comments", "shares", or "number of people clicked".

The analysis unit 12 stores the analysis result in the analysis information DB 13. In addition, the analysis information DB 13 includes external influence data provided by an external organization or company. Since user trends are also affected by the external environment such as the weather, more accurate analysis should be performed by using external impact data provided by external organizations and companies. The external influence data is acquired from the external server device 19. The external influence data includes, for example, a seasonal index 20, a day of the week index 21, a weather index 22, a market index 23, an advertising index 24, and third-party viewpoint data 25.

The seasonal index 20 is an analysis and quantification of monthly sales fluctuations from past sales data. The day of the week index 21 is an analysis and quantification of sales fluctuations for each day of the week from past sales data. The weather index 22 is obtained by analyzing and quantifying sales fluctuations for each weather from past sales data. The market index 23 is an index that aggregates the prices of stocks selected based on a certain rule into one value using a simple average, a weighted average, or the like.

The advertisement index 24 is, for example, an index showing the quality of a specific search advertisement of a specific advertiser that has been placed in the past by a search engine. Basically, the specific search advertisement of the specific advertiser has been used by many users in the past. The higher the selection (for example, the higher the number of clicks per hour of the advertisement information of the search advertisement), and the higher the sales of the product or service targeted by the selected search advertisement.

Third-party perspective data 25 includes, for example, market analyst opinion information, industry growth rate from the viewpoint of domestic economic conditions, changes in trends between this year and the previous year, changes in end-user purchasing behavior, per capita consumption, etc. Information such as information on the ups and downs of this time is included.

The contract information DB 16 stores contract information with a customer (company X, store Y, store Z, etc. in FIG. 2) who uses the analysis information centralized management device 11. The store performance information DB 15 stores performance data such as past sales data of the store.

The data processing / display control unit 14 is scattered in various media and media based on the analysis information DB 13, the store performance information DB 15, and the contract information DB 16 in response to requests from the store terminals 31a, 31b, 31c, and 31d. In addition to aggregating and displaying the stored store information, the store sales, the number of calls, and the effect of the medium are predicted and displayed based on the market situation and past information.

As a result, the work load for collecting information such as the contractor and the person in charge of investigating the store terminal 31 can be reduced, and the main business can be focused on. In addition, it is possible to create opportunities to increase profits from forecast information and analysis results.

FIG. 3 is a diagram showing an example of a network configuration according to the present embodiment. The analysis information centralized management device 11, the external server device 19, the Web server device 42, the user terminal 51, and the store terminal 31 are connected to the communication network 61.

In FIG. 3, only one Web server device 42 is described for convenience, but a plurality of Web server devices 42 are connected, and for example, any Web server device 42 is provided with a reservation system. A website A (medium A) managed by the company is installed. For example, another web server device 42 has a website B (medium B) managed by the company B that provides the reservation system B. is set up.

The Web server device 42 manages a website for accepting reservations to stores, and provides a service (hereinafter, referred to as a Web reservation service) for accepting reservations to various stores via the website. It should be noted that each Web server device 42 manages a different Web site.

The external server device 19 is a server device operated by an external organization or company, and as described above, for example, a seasonal index 20, a day of the week index 21, a weather index 22, a market index 23, an advertising index 24, and a third party. The viewpoint data 25 and the like are provided.

The analysis information centralized management device 11 includes an analysis unit 12 and a data processing / display control unit 14. The analysis unit 12 analyzes the log (media information) provided by the Web server device 42. The data processing / display control unit 14 collects all data related to store operation, such as media information and external information, based on the analysis result by the analysis unit 12 and the information provided from the external server device 19, and combines them into one. Collectively, it can be easily browsed from the store terminal 31. The analysis unit 12 and the data processing / display control unit 14 may be separate or integrated.

The analysis information centralized management device 11 holds information (hereinafter, referred to as login information) for logging in to the Web server device for which the log is to be acquired in advance. This login information includes a login ID and a password.

The user terminal 51 is, for example, an information communication terminal having a communication function owned or occupied by the user, and includes, for example, a personal computer (PC), a smartphone, a tablet computer, and the like.

The store terminal 31 is an information processing terminal arranged in the store where the store terminal 13 is provided, and includes, for example, a personal computer (PC), a smartphone, a tablet computer, and the like.

Although only one store terminal 15 is shown in FIG. 3 for convenience, there may be a plurality of store terminals 15 in one store, and one or more store terminals 15 in each of the plurality of stores. There may be.

FIG. 4 is a diagram showing an example of the structure of the database in the present embodiment. The analysis information DB 13 may be stored in a storage device in the analysis information centralized management device 11, or may be stored in a storage device of another information processing device.

The analysis information DB 13 includes "advertising medium PV number", "advertising medium call number", "advertising medium reservation number", "other company map service analysis data", "other company map service search number / other actions", and "other company map service search". "Keywords", "Owned media search keywords", "Owned media PV number", "Owned media call number", "Owned media reservation number", "Advertising medium cost", "Owned media cost", "Advertising" Includes "media display order", "search display order", "action unit price", "simulation data", "various advertising data", "store data location information", "area population data", and "area operator data". Each of these pieces of information includes contractor identification information (contractor ID) that identifies the contract store (or contract company).

The "advertising medium PV number" is the number of PVs of the contractor's advertisement (including the reservation reception screen, etc., hereinafter the same) on the medium (for example, the website provided by the Web server device 42; hereinafter the same). is there. The "advertising medium call number" is the number of calls made to the contractor's store through the page of the contractor's advertisement or the like in the medium. The "number of reservations for advertising media" is the number of reservations made for the contractor's store through the page of the contractor's advertisement or the like in the medium. "Map service analysis data of other companies" is map service analysis data provided by other companies, and is information accessed by the contractor's advertisement by the map service. "Number of searches for other companies'map services / other actions" is map service analysis data provided by other companies, and is the number of searches for stores and other actions in the map service. "Other company's map service search keyword" is map service analysis data provided by another company, and is keyword information searched by the map service.

"Owned media search keywords" are keyword information searched on the company's website. "Number of owned media PV" is the number of PV on the company's website. The "owned media call number" is the number of calls made to the contractor's store via the company's website. The "owned media reservation number" is the number of reservations made at the contractor's store via the company's website. "Advertising medium cost" is the cost spent on advertising media. "Owned media costs" are the costs spent on your site. The "advertising medium display order" is the display order of the contractor on the advertising medium.

The "search display order" is a search order when a search is performed by a search engine. The "action unit price" is the unit price of the action. "Simulation data" is data in the case of simulation. "Various advertising data" is advertising data of various types of stores. "Store data location information" is the location information of the contractor's store. "Area population data" is data on the population around the area where the contractor's store is located. "Area business data" is data on businesses around the area where the contractor's store is located.

The external influence DB 19a may be stored in the storage device in the external server device 19, or may be stored in the storage device of another information processing device. The external influence DB 19a stores, for example, a seasonal index 20, a day of the week index 21, a weather index 22, a market index 23, an advertising index 24, third-party viewpoint data 25, and the like. The information stored in the external influence DB 19a is an example and is not limited to these, and may be information on factors that influence the user's tendency toward store reservation.

The contract information DB 16 may be stored in the storage device in the analysis unit 12, may be stored in the storage device of the data processing / display control unit 14, or may be stored in the storage device of another information processing device. It may be remembered. The contract information DB 16 includes "user information" and "contract service information".

The "user information" is information about a contractor who has concluded a contract to receive a service provided by the analysis information centralized management device 11, and is managed by a contractor ID. "Contract service information" is information about contract services.

FIG. 5 is a diagram showing an example of information items to be displayed on the store terminal in the present embodiment. By accessing the analysis information centralized management device 11, the store terminal 31 in the present embodiment displays information on user behavior (action) for each medium that is centrally managed for each store. The store terminal 31 may have, for example, "store name", "date", "number of PVs by medium", "number of reserved calls", "number of calls (reservation failed)", "number of WEB reservations", "weather", "weather". "Maximum temperature", "Minimum temperature", "Search data at the time of access", "Ranking when displayed in a specific word", "Effect prediction by medium", "Cost effectiveness alert by medium", "Action rate by medium" It is assumed that "action unit price", "clicks by search engine advertising keyword", "various data of other companies' map services", "population data by area", and "number of businesses by area" are displayed.

Regarding the "store name", when the same contractor has a plurality of stores, by selecting a store, analysis information regarding the selected store is displayed. As for the "date", the analysis information is stored for each day, so by selecting monthly or daily on the screen, the analysis information aggregated in the selected unit is displayed. Regarding the "number of PVs by medium", data can be stored for each medium, and for example, it can be divided into a "menu screen" and a "course screen" and totaled.

"Number of reserved calls" (number of reservations made by telephone), "number of calls (reservation not established)" (number of cases when reservation by telephone was not established), "number of Web reservations" (reservations made via website) The number of cases) is obtained for each medium and displayed on the screen.

Data is stored on a daily basis for "weather", "maximum temperature", "minimum temperature", "search data at the time of access", and "ranking when displayed in a specific word".

For "effect prediction by medium", the prediction is calculated every day. Regarding "cost-effectiveness alerts by medium", alerts are generated for media that spend too much on advertising. "Action rate / action unit price by medium" includes "for example, PV unit price, number of visitors unit price, call unit price, online reservation unit price, ROAS, etc. by medium. Search engine advertisement Number of clicks by keyword" is an advertisement of another company. Service data is retrieved. For "various data of other companies' map services", the data is stored every day. "Population data by area" represents the population / population pyramid by store area. "Number of businesses by area" is the number of companies by store area.

FIG. 6 is an overall sequence diagram of the present embodiment. The analysis unit 12 accesses the Web server device 42 of various media by using the login information, and acquires the media data (log information) (S1). The analysis unit 12 aggregates and analyzes the user's actions and the like for the contents of the store for each store and each website from the acquired media data (S2). Specifically, the analysis unit 12 analyzes the acquired media data for each store and each website, such as "number of advertising media PVs", "number of advertising media calls", "number of advertising media reservations", and "map service analysis of other companies". "Data", "Number of other companies'map service searches / other actions", "Other companies' map service search keywords", "Owned media search keywords", "Number of owned media PVs", "Number of owned media calls", "Owned media" Number of reservations, "Advertising medium cost", "Owned media cost", "Advertising medium display order", "Search display order", "Action unit price", "Simulation data", "Various advertising data", "Store data position" Aggregate and analyze "information", "area population data", and "area operator data". The analysis unit 12 stores the analyzed information in the analysis information DB 13 (S3).

The external server device 19 uses external impact data (seasonal index 20, day index 21, weather index 22, market index 23, advertising index 24, third-party perspective data 25 (market analyst's opinion information, industry from the viewpoint of domestic economic situation). The data processing / display control unit 14 is provided with information such as the growth rate of the data, changes in trends between this year and the previous year, changes in end-user purchasing behavior, information such as the amount of money consumed per person, and information such as ups and downs this time. S4).

When a display request is made from the store terminal 31 for the analysis information centralized management screen (see FIGS. 7A and 7B) of various media related to the store (S5), the data processing / display control unit 14 enters the analysis information DB 13 in S3. Data processing is performed using the stored analysis information and the external influence data provided in S4 (S6). For example, the analysis unit 12 calculates the action unit price. Here, as the evaluation as the advertising cost pair, the advertising cost per click, the advertising cost per impression, the advertising cost per reservation, and the like are evaluated. These are called action unit prices. As the process of calculating the action unit price, for example, the following process is performed.
・ Media advertising expenses ÷ PV
・ Media advertising expenses ÷ Visitors ・ Media advertising expenses ÷ Number of reservations (total)
・ Media advertising expenses ÷ Online reservation mail ・ Media advertising expenses ÷ Number of calls ・ Media advertising expenses ÷ Number of reservations ・ Media advertising expenses ÷ Number of reservations ・ Media advertising expenses ÷ Reservation sales In addition, each reservation route (reservation via website, Since the number of reservations is accumulated for each (reservation via telephone, etc.), by linking these media data with call (number of telephones) data, number of emails, and POS (accounting) data, it is more linked to user behavior. It is possible to calculate the action unit price.

Further, in the data processing process (S6), data management is performed for each day, month, day of the week information, weather information, and area information. For example, data management is performed based on the reservation composition ratio that depends on the following external influences.
・ Reservation composition ratio for all business days in the month ・ Reservation composition ratio for each weekly day of the month ・ Reservation composition ratio for each weather in the month ・ Reservation composition ratio for the temperature in the month (for example, separated by 1 ° C) ・Search order of search engine specified by the user ・ Store display order in each media site

The data processing / display control unit 14 displays a warning message or the like on the screen according to whether the action unit price is higher or lower than the target value (threshold value) set by the contractor, or displays a corresponding part on the screen. An alert process for highlighting is performed (S7), and such a warning message is displayed or highlighted on the display unit of the store terminal 31 (S8). The target value may be a target ratio (ratio).

As a result, it is possible to identify the medium for which the advertising cost is excessive from the media used and issue an alert. This makes it easier for the user to grasp the cost-effective or low-cost medium.

In addition, the store terminal 31 inputs the budget for each medium in the future month on the analysis information centralized management screen (S9). Then, the data processing / display control unit 14 bases the store record information stored in the store record information DB 15 on the past trends of the store (day of the week, weather, trends in the last 3 months, trends compared to last year, etc.). Is calculated, and a simulation process is performed to determine how much CV can be expected (S10). The data processing / display control unit 14 displays the result of the simulation processing on the display unit of the store terminal 31 (S11).

As a result, the store manager predicts the store sales, the number of reservations (number of reservation calls, the number of Web reservations), and the effect of each medium from the market conditions and past store performance information, and makes more profits. You can increase the chances of raising it.

Regarding the simulation processing, for example, a statistical method may be used, correction values based on various statistical models may be used, multivariate analysis may be used, or data mining may be used.

7A and 7B are screen views showing an example of the analysis information centralized management screen in the present embodiment. The analysis information centralized management screen 61 can be switched from FIG. 7A to FIG. 7B or from FIG. 7B to FIG. 7A by sucrose. The layouts of FIGS. 7A and 7B are merely examples, and the layout is not limited thereto.

In FIG. 7A, the analysis information centralized management screen 61 has a store name display column 62, a store change button 63, a period setting column 64, a total number of media calls by period / Web reservation number display column 65, a medium designation column 66, and a period. The number of calls / Web reservation number display column 67 and the numerical detail column 68 for each medium are displayed. In FIG. 7A, the number of selectable media is three, but the medium is not limited to this, and one or two media may be selected, or four or more media may be selectable.

In the store name display field 62, the currently designated store name is displayed. By pressing the store change button 63, the store to be displayed on the analysis information centralized management screen 61 can be changed.

The currently specified year / month is displayed in the period setting field 64, and the year / month can be changed with the "previous" button and the "next" button. Further, by pressing the "monthly" button and the "daily" button, the unit aggregated on the analysis information centralized management screen 61 can be changed by month or day.

Number of total media calls by period / number of Web reservations In the display field 65, the number of calls by month (when the "monthly" button is pressed) or by day (when the "daily" button is pressed) (Number of telephone reservations) and bar graphs of the number of Web reservations are displayed.

All the media used in the store are displayed in the medium designation field 66, and by checking the corresponding check box, the analysis information centralized management screen 61 (for example, the total number of media calls by period / Web reservation) In the number display field 65, the number of calls by medium for each period / Web reservation number display field 67, each medium analysis display field 70, etc.), the medium on which the aggregation result / analysis result is to be displayed can be specified.

In the number of calls / number of Web reservations display column 67 by period, by medium (when the "monthly" button is pressed) or by day (when the "daily" button is pressed), each medium A bar graph of the number of calls (number of telephone reservations) and the number of Web reservations is displayed. Here, the medium designated in the medium designation field 66 is the target of aggregation.

In the numerical details column 68, the maximum temperature, the minimum temperature, the number of reservations for visits, and the reservations for visits by month (when the "monthly" button is pressed) or by day (when the "daily" button is pressed) The number of people, the number of reservations received, and the number of reservations received are displayed.

In FIG. 7B, the analysis information centralized management screen 61 displays a comprehensive medium analysis column 69 and each medium analysis display column (media A analysis display column, medium B analysis display column, ...) 70. In the comprehensive media analysis column 69, information that aggregates PV, etc. of all media by month (when the "monthly" button is pressed) or by day (when the "daily" button is pressed) is displayed. Will be done. In FIG. 7B, "PC" is an abbreviation for a personal computer and "SP" is an abbreviation for a smartphone.

In each medium analysis display column (media A analysis display column, medium B analysis display column, ...) 70, monthly (when the "monthly" button is pressed) or daily ("daily" button) Information that aggregates the PV and the like of each medium (when is pressed) is displayed.

In this way, the analysis information centralized management screen 61 can display the reservation status and access status from each medium and all media in a table format and a graph format. As a result, the user's behavior with respect to the store content for each medium can be displayed in a unified manner.

Further, since the medium name can be specified in the medium designation field 66 and the medium for displaying the aggregation result / analysis result can be selected on the analysis information centralized management screen 61, the medium of interest can be selectively displayed. ..

Further, the statistical graph to be displayed is not limited to a bar graph, and may be, for example, a line graph, a pie graph, a band graph, a scatter graph, a radar chart, or the like, depending on the statistical method and legibility. The format of the graph to be displayed may be switched by pressing the switching button provided on the analysis information centralized management screen 61.

Further, as described above, a warning message or highlighting can be displayed on the analysis information centralized management screen 61 according to the action unit price. As a result, the store clerk can recognize at a glance what should be noted.

Further, a simulation execution button may be provided on the analysis information centralized management screen 61. By pressing the simulation execution button, the data processing / display control unit 14 determines the past trends (day of the week, weather, trends in the last 3 months, last year) of the store based on the store record information stored in the store record information DB 15. (Tendency of comparison, etc.) is determined, and simulation processing is performed to determine how much CV can be expected. The data processing / display control unit 14 displays the result of the simulation processing on the analysis information centralized management screen 61.

FIG. 8 is an example of a block diagram of a hardware environment of a computer that executes a program according to the present embodiment. The computer 81 may be an analysis information centralized management device 11, a Web server device 42, a user terminal 51, a store terminal 31, or an external server. It may be the device 19. The computer 81 is composed of a CPU 82, a ROM 83, a RAM 84, a storage device 85, an input I / F86, an output I / F87, a communication I / F88, a reading device 89, and a bus 90.

Here, the CPU indicates a central processing unit. ROM indicates read-only memory. RAM represents random access memory. I / F indicates an interface. A CPU 82, a ROM 83, a RAM 84, a storage device 85, an input I / F86, an output I / F87, a communication I / F88, and a reading device 89 may be connected to the bus 90, if necessary.

The CPU 82 reads the program according to the present embodiment from the storage device 85, and when it functions as, for example, the analysis information centralized management device 11, executes the program as the analysis unit 12 and the data processing / display control unit 14. ROM 83 indicates a read-only memory. The RAM 84 is a memory that is temporarily stored.

The storage device 85 is a device that stores a large amount of information. As the storage device 85, various types of storage devices such as a hard disk, a solid state drive (SSD), and a flash memory card can be used. The storage device 85 stores the program according to the embodiment of the present invention, the analysis information DB 13, the store record information DB 15, the contract information DB 16, and various other data.

The input I / F86 can be connected to an input device such as a keyboard, a mouse, an electronic camera, a webcam, a microphone, a scanner, a sensor, a tablet, a touch panel, and an information reading device. Further, the output I / F 87 can be connected to an output device such as a display, a touch panel, a projector, a printer, and a speaker.

The communication I / F 88 is an interface such as a port for connecting to a communication network and communicating with another device. The communication network may be an Internet, a local area network (LAN), a wide area network (WAN), a leased line, a wired network, a wireless network, or the like. The reading device 89 is a device that reads a portable recording medium.

The program that realizes the processing described in the above embodiment may be stored in the storage device 85, for example, from the program provider side via the communication network and the communication I / F88. Further, the program that realizes the process described in the above embodiment may be stored in a commercially available and distributed portable storage medium. In this case, the portable storage medium may be set in the reading device 85, and the program may be read and executed by the CPU 82. As the portable storage medium, various types of storage media such as a CD-ROM, a flexible disk, an optical disk, a magneto-optical disk, an IC card, a USB memory device, and a semiconductor memory card can be used. The program stored in such a storage medium is read by the reading device 89.

In addition, the program may be installed on a stand-alone computer, or may be installed by a cloud computer to provide only the functions to the user.

According to the present embodiment, the user's behavior (telephone reservation, Web reservation, access to the medium) with respect to the store content (reservation screen, store advertisement, etc.) for each medium can be displayed so as to be centrally visible. it can. This makes it possible to visually grasp what kind of behavior of the user is linked to the store reservation for each medium. In addition, since it is possible to analyze the cost-effectiveness (for example, action unit price) related to the trends of various users in each medium used in this way, it is possible to grasp the medium that actually leads to the reservation and invest strategy. You can also spend more intensively on such media. In addition, external impact data can be used to analyze and predict diversifying user trends. When performing this analysis or prediction, for example, a statistical method, multivariate analysis, or the like may be used.

Although the present embodiment has been described above based on the embodiments and modifications, the embodiments of the above-described embodiments are for facilitating the understanding of the present embodiment, and do not limit the present embodiment. This aspect may be modified or improved without departing from its spirit and claims, and this aspect includes its equivalents. In addition, if the technical feature is not described as essential in the present specification, it may be deleted as appropriate.

1 Centralized analysis information management device 2 Acquisition unit 3 Analysis unit 4 Behavior unit price calculation unit 5 Display control unit 6 Website 7 Information processing terminal 11 Analysis information centralized management device 12 Analysis unit 13 Analysis information DB
14 Data processing / display control unit 15 Store performance information DB
16 Contract information DB
19 External server device 20 Seasonal index 21 Day of the week index 22 Weather index 23 Market index 24 Advertising index 25 Third-party perspective data 31 (31a, 31b, 31c, 31d) Store terminal 41 Various media 42 Web server device

Such analysis information centrally managed device according to an embodiment of the present invention, from different operators different Web sites for each store to provide reservation, the operation of the user for content related reservation and advertisement of the store an acquisition unit that acquires the log, based on the acquired operation log, for each of the Web site, an analysis unit for analyzing the behavior of the user with respect to the content, according to a display request from the information processing terminal, the Web by aggregating the behavior of the user for the contents of the analysis for each site, the behavior of the user for the contents of each of the plurality of Web sites number and the Web site of reservation of the store has been made through the respective month Alternatively, a display control unit that displays on one page so that the display unit of the information processing terminal can be scrolled on a daily basis .
It is characterized by having.

The analysis information centralized management device further based on the behavior of the user with respect to advertising expenses and the content of each of the Web site, characterized in that it comprises a behavior unit price calculation unit for calculating a charge for the behavior of the user.

Analysis information centralized program according to an embodiment of the present invention causes a computer, from different Web sites for reservation of stores each of a plurality of different operators to provide, to the content booking and advertising the store obtains operation logs of the user, based on the acquired operation log, for each of the Web site, analyzing the behavior of the user with respect to the content, according to a display request from the information processing terminal, for each of the Web site by aggregating the behavior of the user for the contents of the analysis, the behavior of the user for the contents of each of the plurality of Web sites number and the Web site of reservation of the store has been made through the respective, monthly or daily The display unit of the information processing terminal is displayed on one page so as to be scrollable , and the process is executed.

In analysis information integrated management method according to an embodiment of the present invention, with respect to the computer, from different operators different Web sites for each store to provide book content booking and advertising the store obtains operation logs of the user, based on the acquired operation log, for each of the Web site, analyzing the behavior of the user with respect to the content, according to a display request from the information processing terminal, for each of the Web site by aggregating the behavior of the user for the contents of the analysis, the behavior of the user for the contents of each of the plurality of Web sites number and the Web site of reservation of the store has been made through the respective, monthly or daily It is characterized in that a process is executed in which the display unit of the information processing terminal is displayed on one page so as to be scrollable .

7A and 7B are screen views showing an example of the analysis information centralized management screen in the present embodiment. Analysis information centralized screen 61 by scrolling, it can be switched in FIG. 7A from FIG. 7B or FIGS. 7B from Figure 7A. The layouts of FIGS. 7A and 7B are merely examples, and the layout is not limited thereto.

The analysis information centralized management device according to one embodiment of the present invention is a plurality of different websites for accepting reservations for each store provided by each of a plurality of different businesses from a user terminal owned by the user via a communication network. wherein the Web server device that manages each said acquired operation log of the user for content booking and advertising each store, an acquisition unit that stores the operation log acquired in the storage device, stored in the storage device based on the operation log, the analyzing reservation of the plurality of Web sites each store received in each in each store, an analysis unit for analyzing the number of page views the user for the contents of each Web site, the In response to a display request for a predetermined store from an information processing terminal via a communication network, the number of page views for the content analyzed for each website is totaled , and based on the result of the totaling, the plurality of Webs. The number of reservations for the predetermined store received at each site and the number of page views for the content for each website are displayed on one page by month or day so that the display unit of the information processing terminal can be scrolled. It is characterized by including a display control unit for causing the display.

The analysis information centralized management device is further characterized by including a behavior unit price calculation unit that calculates a cost for the number of page views based on an advertisement cost for each website and the number of page views for the content.

The analysis information centralized management program according to the embodiment of the present invention is a plurality of different websites for accepting reservations for each store provided by each of a plurality of different businesses from a user terminal owned by the user via a communication network. from the Web server device that manages each said acquired operation log of the user for content booking and advertising each store, stores the operation log acquired in the storage device, the operation log stored in the storage device Based on this, the reservation of each store received by each of the plurality of websites is analyzed, and the number of page views of the user for the content of each website is analyzed for each store, and information processing via the communication network is performed. In response to a display request for a predetermined store from a terminal, the number of page views for the content analyzed for each website is totaled , and based on the result of the total, the above-mentioned received by each of the plurality of websites. A process is executed in which the number of reservations for a predetermined store and the number of page views for the content for each website are displayed on one page so that the display unit of the information processing terminal can be scrolled by month or day. It is characterized by that.

In the analysis information centralized management method according to the embodiment of the present invention, a plurality of different websites for accepting reservations for each store provided by each of a plurality of different businesses from a user terminal owned by the user via a communication network. from the Web server device that manages each said acquired operation log of the user for content booking and advertising each store, stores the operation log acquired in the storage device, the operation log stored in the storage device Based on this, the reservation of each store received by each of the plurality of websites is analyzed, and the number of page views of the user for the content of each website is analyzed for each store, and information processing via the communication network is performed. In response to a display request for a predetermined store from a terminal, the number of page views for the content analyzed for each website is totaled , and based on the result of the total, the above-mentioned received by each of the plurality of websites. A process is executed in which the number of reservations for a predetermined store and the number of page views for the content for each website are displayed on one page so that the display unit of the information processing terminal can be scrolled by month or day. It is characterized by that.

Claims (6)

An acquisition unit that acquires user operation logs for content related to store reservations and advertisements from multiple websites,
An analysis unit that analyzes the user's behavior with respect to the content for each website based on the acquired operation log.
In response to the display request from the information processing terminal, the user's behavior with respect to the content analyzed for each website is aggregated, and the number of reservations for the store made via the plurality of websites and for each website. A display control unit that displays the user's behavior with respect to the content on the display unit of the information processing terminal on a monthly or daily basis.
An analysis information centralized management device characterized by being equipped with. The analysis information centralized management device further
The analysis information centralized management device according to claim 1, further comprising a behavior unit price calculation unit that calculates the cost for the user's behavior based on the advertising cost for each website and the user's behavior for the content. The analysis information centralized management device according to claim 2, wherein the display control unit performs highlighting indicating a warning according to the ratio of the cost to a predetermined threshold value. The display control unit is characterized in that when a future date input by the information processing terminal is input, the display control unit performs a simulation related to the reservation of the store based on the performance information of the store stored in advance and displays it. The analysis information centralized management device according to claim 1, which is a deviation from claims 1 to 3. On the computer
Acquire user operation logs for content related to store reservations and advertisements from multiple websites.
Based on the acquired operation log, the behavior of the user with respect to the content is analyzed for each website.
In response to the display request from the information processing terminal, the user's behavior with respect to the content analyzed for each website is aggregated, and the number of reservations for the store made via the plurality of websites and for each website. The user's behavior with respect to the content is displayed on the display unit of the information processing terminal on a monthly or daily basis.
A centralized analysis information management program characterized by executing processing. The computer
Acquire user operation logs for content related to store reservations and advertisements from multiple websites.
Based on the acquired operation log, the behavior of the user with respect to the content is analyzed for each website.
In response to the display request from the information processing terminal, the user's behavior with respect to the content analyzed for each website is aggregated, and the number of reservations for the store made via the plurality of websites and for each website. The user's behavior with respect to the content is displayed on the display unit of the information processing terminal on a monthly or daily basis.
A centralized management method for analysis information, which is characterized by executing processing.