JP2013008144A - Information processing system, method for managing action information and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To inexpensively and efficiently achieve customer attraction to a store, and to grasp the advertising effects with a quantitative value such as the number of visitors while making it unnecessary to perform any positive promotional advertisement.SOLUTION: A server 5 acquires a unique ID read by an RFID reader 3a of a store and a store ID of the store where the RFID reader 3a is installed via a network NT, and searches a user ID corresponding to the unique ID from a user table 8, and searches the store whose store ID is the same as the acquired store ID from a store table 11, and extracts the store name, a URL of the store, a coupon URL and a file path, and acquires image data by using the file path, and creates a character string by connecting the data of the extracted store name, the extracted URL of the store, and the extracted coupon URL, and logs in an SNS server 4 by using a social ID and a social password extracted from the user table 8, and contributes the character string and the image data to an SNS site.

Description

  The present invention relates to a customer attraction promotion technology using a website, and more particularly to a technology effective for attracting customers to a store through SNS (social networking service).

  In recent years, there has been a change in consumption style, and an increasing number of consumers are saying “Prefer the usage and reputation of people around them rather than their own judgment”. Along with this, the importance of advertising using a web (Web) site called SNS is increasing rather than advertising using a general medium.

  As an advertising technology using this type of website, for example, it is clear how much the word-of-mouth information contributed to the advertisement by the distribution system that distributes the word-of-mouth information from the information provider according to the current location of the user terminal Are known to improve the credibility of word-of-mouth information (see Patent Document 1).

JP 2008-176570 A

  However, the present inventor has found that the following advertising / promotion technology using the above website has the following problems.

  In the advertisement technology utilizing SNS, many existing services linked with SNS are guided from SNS to a company homepage. Because of the measures taken in a closed environment such as the Internet, there is a problem that the effect of how many consumers have visited an actual store cannot be grasped due to the advertising effect of SNS.

  In addition, when advertising using websites such as SNS, appropriate advertising costs such as posting costs on media such as the web and production costs of advertising content are required. There is a problem that the cost becomes high.

  Furthermore, the technique of patent document 1 mentioned above distributes the word-of-mouth information of an advertiser facility based on a user's positional information. In this case, the user who receives the word-of-mouth information cannot know the effect of word-of-mouth whether he / she actually visited the facility.

  An object of the present invention is to provide a technique capable of efficiently attracting customers to a store at a low cost while eliminating the need for aggressive advertising, and grasping by a quantitative value of the number of customers visiting the store.

  The above and other objects and novel features of the present invention will be apparent from the description of this specification and the accompanying drawings.

  Of the inventions disclosed in the present application, the outline of typical ones will be briefly described as follows.

  That is, in order to achieve the above-mentioned purpose, in the present invention, the information that brought the coupon to the store is read, and the customer who visits the store sees “the message (advertisement) posted on the SNS site and the action is induced. A system to distinguish between “customers who have visited the store” and “other customers” and to grasp the advertising effect by a quantitative value called the number of customers visiting the store.

  Further, in the present invention, the user information is read at the store and posted on the SNS site, so that the three information “store name”, “store URL”, and “coupon URL” are propagated so that the company can attract customers. A system that achieves the same effect as an advertisement through word-of-mouth is realized without implementing the target advertisement.

  The present invention includes an input device that reads various types of information, and includes an electronic device installed in an actual store, and a server that is connected via a network to which the electronic device is connected and processes information read by the input device. Information processing system.

  In this information processing system, the server retrieves store information where the input device is installed from user information read by the input device, and posts the retrieved store information to the SNS server operating the SNS site connected to the network. And the same month as the check-in date and time indicating the date and time when the input device read the user information, and the number of users using the store that acquired the store ID in the same month as the check-in date and time indicating the date and time when the input device read the user information The above-described problem is solved by outputting the number of coupon users in the coupon issue store ID.

  In addition, the present invention provides a method by a system for grasping by a quantitative value called the number of customers while obtaining the same effect as an advertisement by word of mouth without carrying out an advertisement for the purpose of attracting customers, or a function of a computer system as the system. It can also be applied to programs.

  Among the inventions disclosed in the present application, effects obtained by typical ones will be briefly described as follows.

  (1) By using the system of the present invention, the store name and the information that the user has visited the store can be propagated between the users through the SNS site. Can be widely known to consumers.

  (2) Since the number of visitors to the actual store can be grasped by a quantitative value, the effect of attracting customers can be grasped accurately.

It is explanatory drawing which shows an example of a structure in the information processing system by one embodiment of this invention. It is explanatory drawing which shows an example of the user table stored in the database of the information processing system of FIG. It is explanatory drawing which shows an example of the user card log | history table stored in the database of the information processing system of FIG. It is explanatory drawing which shows an example of the coupon history table stored in the database of the information processing system of FIG. It is explanatory drawing which shows an example of the store table stored in the database of the information processing system of FIG. It is the flowchart which showed an example of the process in the user card input function in the server provided in the information processing system of FIG. 1, and an automatic posting function. It is a flowchart following FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area A of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area B of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area C of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area D of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area E of the server of FIG. It is the flowchart which showed an example of the process in the word-of-mouth effect collection function in the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area F of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area G of the server of FIG. It is the flowchart which showed an example of the process in the performance confirmation function in the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area H of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area I of the server of FIG. It is explanatory drawing which showed an example of the data memorize | stored in the work area J of the server of FIG. It is explanatory drawing which shows an example of the bar graph by the process of step S306, S307 of FIG.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment, and the repetitive description thereof will be omitted.

  1 is an explanatory diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present invention. FIG. 2 is an explanatory diagram illustrating an example of a user table stored in a database of the information processing system in FIG. 3 is an explanatory diagram illustrating an example of a user card history table stored in the database of the information processing system of FIG. 1, and FIG. 4 is an explanatory diagram illustrating an example of a coupon history table stored in the database of the information processing system of FIG. 5 is an explanatory diagram showing an example of a store table stored in the database of the information processing system of FIG. 1. FIG. 6 is a user card input function in the server provided in the information processing system of FIG. 7 is a flowchart illustrating an example of processing in the posting function, FIG. 7 is a flowchart subsequent to FIG. 6, and FIG. 8 is a work area A of the server in FIG. FIG. 9 is an explanatory diagram showing an example of stored data, FIG. 9 is an explanatory diagram showing an example of data stored in the work area B of the server of FIG. 1, and FIG. 10 is a work area C of the server of FIG. FIG. 11 is an explanatory diagram illustrating an example of data stored, FIG. 11 is an explanatory diagram illustrating an example of data stored in the work area D of the server in FIG. 1, and FIG. 12 is a work area E of the server in FIG. FIG. 13 is an explanatory diagram showing an example of stored data, FIG. 13 is a flowchart showing an example of processing in the word-of-mouth effect collection function in the server of FIG. 1, and FIG. 14 is stored in the work area F of the server of FIG. 15 is an explanatory diagram showing an example of data, FIG. 15 is an explanatory diagram showing an example of data stored in the work area G of the server of FIG. 1, and FIG. 16 is an example of processing in the result confirmation function in the server of FIG. Showed flow FIG. 17 is an explanatory diagram showing an example of data stored in the work area H of the server in FIG. 1, and FIG. 18 is an explanatory diagram showing an example of data stored in the work area I of the server in FIG. 19 is an explanatory diagram illustrating an example of data stored in the work area J of the server in FIG. 1. FIG. 20 is an explanatory diagram illustrating an example of a bar graph obtained by the processes in steps S306 and S307 in FIG. .

<Summary of invention>
The first outline of the present invention includes an input device (input device 3) for reading various information, and includes an electronic device (PC 2) installed in an actual store and a network (network NT) to which the electronic device is connected. And a server (server 5) for processing information read by the input device.

  The server searches store information (store table 11) of an actual store where the input device is installed from user information (information stored in a user card) read by the input device, and the searched store Information is posted to an SNS site operated by an SNS server connected to the network.

  The second outline of the present invention is that an input device (input device 3) provided in the electronic device is connected to a network (network NT) to which an electronic device (personal computer 2) installed in an actual store is connected. Is a behavior information management method for managing consumer behavior information by a computer system (server 5) that processes information read by the user, from the user information (user card information) read by the input device. There is a search step for searching for store information (store table 11) of an actual store where is installed, and a posting step for posting the searched store information to an SNS site operated by an SNS server connected to the network.

  Furthermore, a third outline of the present invention is a program to be executed by a computer system (server 5), which is installed in an actual store and provided in an electronic device (personal computer 2) connected via a network (network NT). A search step of searching store information (store table) of an actual store where the input device is installed from user information (user card information) read by the input device, and the searched store information in the network And a posting step for posting to an SNS site operated by a connected SNS server.

  Hereinafter, the embodiment will be described in detail based on the above-described outline.

<< Configuration example of information processing system >>
In the present embodiment, the information processing system 1 is a system that attracts customers by word of mouth by automatically posting consumer behavior information to the SNS. As shown in FIG. 1, the information processing system 1 includes a personal computer 2, an input device 3, an SNS server 4, and a server 5.

  In FIG. 1, one personal computer 2 is shown, but the personal computer 2 is provided for each store. If there are a plurality of stores, a plurality of personal computers 2 are connected to a network NT described later. It becomes.

  An input device 3 is connected to the personal computer 2 and processes various information input from the input device 3 or the like. The input device 3 includes, for example, an RFID (Radio Frequency IDentification) reader 3a and a barcode reader 3b.

  The RFID reader 3a reads information on a wireless IC tag (RFID tag) attached to the user card 6 by RFID technology. The barcode reader 3 b reads the barcode printed on the coupon 7.

  The personal computer 2 is connected to the SNS server 4 and the server 5 via a network NT such as an Internet line. The SNS server 4 is a SNS site server for posting reviews. The server 5 has processing functions such as a user card input function, an automatic posting function, a word-of-mouth effect collection function, and a result confirmation function.

  These various functions are realized by, for example, a CPU (Central Processing Unit) of the server 5 executing software in a program format stored in a program storage memory or the like of the server 5.

  The user card input function processes the read user card information. The automatic posting function performs automatic posting to the SNS after reading the user card. The word-of-mouth effect collection function keeps track of the number of people who visit the store through word-of-mouth by automatic posting. The result confirmation function allows the store to check the store visit result.

  Moreover, the server 5 has the database 5a, for example, stores the user table 8, the user card history table 9, the coupon history table 10, the store table 11, etc.

  The user table 8 is a table for storing user information, and the user card history table 9 is for storing user card usage history. Further, the coupon history table 10 is a table for storing a coupon usage history, and the store table 11 is a table for storing store information.

<< Example of data and configuration in each table >>
FIG. 2 is an explanatory diagram illustrating an example of the user table 8.

  Items stored as the user table 8 include, for example, a user ID, a unique ID, a social ID, a social password, and the like as shown in FIG. The user ID is a unique number for identifying the user, and the unique ID is the number of the wireless IC tag. The social ID is a user ID of a social networking (SNS) site, and the social password is a password of an SNS site.

  These items are stored in the database 5a as the user table 8 shown in FIG. From the left side to the right side of FIG. 2 (b), the user ID, the unique ID, the social ID, and the social password are stored in this order.

  FIG. 3 is an explanatory diagram showing an example of the user card history table 9.

  Items stored as the user card history table 9 include, for example, a user ID, a store ID, a check-in date and time, as shown in FIG. The user ID is a user ID read from the user card 6 by the RFID reader 3a.

  The store ID is the store ID of the store where the RFID reader 3a is installed, and the check-in date and time is the date and time when the RFID reader 3a reads the information of the user card 6.

  These items are stored in the database 5a as the user card history table 9 shown in FIG. From the left side to the right side of FIG. 3B, the user ID, the store ID, and the check-in date and time are stored in this order.

  FIG. 4 is an explanatory diagram illustrating an example of the coupon history table 10.

  Items stored as the coupon history table 10 include, for example, a store ID, a coupon issue store ID, a check-in date and time, as shown in FIG. The store ID is the ID of the store where the barcode reader 3b is installed. The coupon issue store ID is the store ID of the coupon issue store read from the barcode reader 3b, and the check-in date and time is the date and time when the barcode reader 3b reads the barcode.

  These items are stored in the database 5a as a coupon history table 10 shown in FIG. From the left side to the right side of FIG. 4B, the store ID, the coupon issue store ID, and the check-in date and time are stored in this order.

  FIG. 5 is an explanatory diagram illustrating an example of the store table 11.

  Items stored as the store table 11 include, for example, a store ID, a store name, a URL (Uniform Resource Locator), a coupon URL, and a file path check as shown in FIG.

  The store ID is a unique number for identifying the store, and the store name is a store name corresponding to the store ID. A URL (Uniform Resource Locator) is a URL (web address) of a WEB page that introduces a store, and a coupon URL is a URL (web address) of a coupon image. The file path check is information (file path) indicating the location where the store image is stored.

  These items have a table configuration as shown in FIG. 5B, for example, and are stored in the order of store ID, store name, URL, coupon URL, and file path check from the left side to the right side. Then, the data shown in FIG. 5B is stored as the store table 11 in the database 5a.

  Next, the operation of the information processing system 1 in the present embodiment will be described.

<< Processing example of user card input function and automatic posting function >>
6 and 7 are flowcharts showing an example of processing in the user card input function and the automatic posting function in the server 5.

  In FIG. 6, first, the server 5 clears the work areas A to E that are storage areas of the server 5 (steps S101 to S105).

  Here, the work area A is a work area that stores a unique ID indicating the number of the wireless IC tag, and the work area B is a work area that stores a store ID that is a unique number for identifying a store.

  The work area C is a work area that stores a unique ID, a user ID that is a unique number for identifying a user, a social ID that is a user ID of an SNS site, and a social password that is a password of an SNS site.

  Work area D stores a store ID, a store name, a URL indicating the address of a web page introducing the store, a coupon URL indicating the address of the coupon image, and a file path indicating the location where the store image is stored. It is an area.

  FIG. 8 is an explanatory diagram showing an example of data stored in the work area A. In the work area A, unique ID data indicating the number of the wireless IC tag is stored. For example, as shown in FIG. 8, “100001” is stored as unique ID data.

  FIG. 9 is an explanatory diagram showing an example of data stored in the work area B. In the work area B, a store ID indicating a unique number for identifying a store is stored. For example, as shown in FIG. 9, “1” or the like is stored as store ID data.

  FIG. 10 is an explanatory diagram showing an example of data stored in the work area C.

  In the work area C, as shown in FIG. 10A, unique ID, user ID, social ID, and social password data are stored for each column (column A to column D).

  In these items, for example, as shown in FIG. 10 (b), '100001' as the unique ID data in the A column, '1' as the user ID data in the B column, and the social ID data in the C column 'User001' and 'aaaaaa' and the like are stored as social password data in column D, respectively.

  FIG. 11 is an explanatory diagram showing an example of data stored in the work area D.

  In the work area D, as shown in FIG. 11A, store ID, store name, URL, coupon URL, and file path are stored for each column.

  For example, as shown in FIG. 11B, these data items are “1” as the store ID data in the A column, “ABC cafe 1” as the store name data in the B column, and URL data in the C column. 'Http: //www.abc_cafe***.com', D column coupon URL data 'http: //www.abc_cafe.com***/coupon.html', and E column file path 'C: \ Program Files \ *** Joho \ 1.JPG' etc. are stored respectively as

  FIG. 12 is an explanatory diagram showing an example of data stored in the work area E.

  In the work area E, as shown in FIG. 12A, image data and character strings are stored for each column (A column and B column). In these data items, as shown in FIG. 12B, a store image corresponding to the store ID is stored in the A column, and a character string corresponding to the store name is stored in the B column.

  Subsequently, in FIG. 6, when the work areas A to E are cleared, the server 5 acquires the unique ID of the wireless IC tag read from the RFID reader 3a of the input device 3 installed in the store via the network NT. Then, it is stored in the work area A of the server 5 (step S106).

  Further, the server 5 acquires the store ID of the store where the RFID reader 3a is installed from the setting file set in advance in the personal computer 2, and stores it in the work area B (step S107).

  Then, the server 5 reads the unique ID stored in the work area A (step S108), and searches for a user (user ID) having the same unique ID from the user table 8 (FIG. 2) stored in the database 5a ( Step S109). Further, the data of the unique ID taken out from the work area A is stored in the A column of the work area C (FIG. 10B).

  Subsequently, the user ID of the user searched from the user table 8 is stored in column B of work area C (FIG. 10B), the social ID data of the user is stored in column C of work area C, and the social password data is stored. Each is stored in the D column of the work area C (step S110).

  Thereafter, the store ID stored in the process of step S107 is extracted from the work area B (step S111), and a store having the same store ID is searched from the store table 11 stored in the database 5a (step S112). Further, the store ID data taken out from the work area B is stored in the A column of the work area D (FIG. 11B).

  The store name retrieved from the store table 11 is stored in column B of work area D (FIG. 11B), URL data is stored in column C of work area D, and coupon URL data is stored in D of work area D. The file path data is stored in column E in column E of work area D (step S113).

  Subsequently, the file path is extracted from the E column (FIG. 11B) of the work area D (step S114), the image data stored from the file path is obtained, and the A column (FIG. 12 (FIG. 12) of the work area E is acquired. b)) (step S115).

  Further, the store name is extracted from the B column (FIG. 11B) of the work area D (step S116), and in FIG. 7, the coupon URL is extracted from the D column of the work area D (step S117).

  Further, the data extracted in the process of step S113 are connected to create one character string, and the character string is stored in the B column (FIG. 12B) of the work area E (step S118).

  Here, the order of concatenation when creating a character string is, for example, [in store name + "" + line feed + "store URL" + line feed + URL + line feed + "coupon" + line feed + coupon URL]. .

  Subsequently, the social ID is extracted from the C column of the work area C (FIG. 10B) (step S119), and the social password is extracted from the D column of the work area C (step S120).

  And the server 5 logs in to the SNS server 4 using the social ID and social password which were taken out in the process of step S121 (step S121). Thereafter, the image data is extracted from the A column (FIG. 12B) of the work area E (step S122), the character string is extracted from the B column of the work area E (step S123), and the character string and the image are stored in the SNS server 4. Data is transmitted and posted (step S124).

  Thereafter, the user ID is extracted from column B (FIG. 10B) of work area C (step S125), and the user ID column of user card history table 9 (FIG. 3B) stored in database 5a is entered into the user. Register the ID, the store ID in the store ID column, and the current date and time in the check date column (step S126).

《Example of processing of word-of-mouth effect collection function》
FIG. 13 is a flowchart illustrating an example of processing in the word-of-mouth effect collection function in the server 5.

  First, the server 5 clears the work area F (step S201) and clears the work area G (step S202). The work area F is a work area for storing a store ID of a coupon issuing store read from the barcode printed on the coupon 7 by the barcode reader 3b. For example, as shown in FIG. Data such as 1 'is stored.

  The work area G is a work area that stores a store ID including a unique number for identifying the store. For example, as shown in FIG. 15, as the data of the store ID where the barcode reader 3b is installed, Data such as 1 'is stored.

  In FIG. 13, when the barcode printed on the coupon is read by the barcode reader 3b of the input device 3 installed in the store, the coupon issuing store ID read from the barcode is acquired via the network NT. And stored in the work area F (step S203).

  Further, the store ID of the store where the barcode reader 3b is installed is acquired from the setting file set in advance in the personal computer 2 via the network NT and stored in the work area G (step S204). Subsequently, the coupon issue store ID is extracted from the work area F (step S205), and the store ID is extracted from the work area G (step S206).

  Then, the extracted store ID is stored in the store ID column of the coupon history table 10 (FIG. 4) stored in the database 5a, the extracted coupon issue store ID is stored in the coupon issue store ID column of the coupon history table 10, and the coupon history table 10 is stored. The current date and time are respectively registered in the usage time column (step S207).

<Processing example of the results confirmation function>
FIG. 16 is a flowchart showing an example of processing in the result confirmation function in the server 5.

  The server 5 clears the work area H (step S301), clears the work area I (step S302), and clears the work area J (step S303). The work area H is a work area that stores a store ID that is a unique number for identifying a store. For example, as shown in FIG. 17, data such as “1” is stored as store ID data.

  The work area I is a work area for storing the user ID read from the user card by the RFID reader 3a, the store ID where the RFID reader 3a is installed, and the date and time when the user card is held over the RFID reader 3a. As shown in FIG. 18, '1', '2', etc. are stored as user ID data, store ID data '1', '1', etc. corresponding to each user ID are stored, and further used Data such as time (year / month / day and time) is stored.

  The work area J includes the store ID of the store where the barcode reader 3b is installed, the store ID of the coupon issuing store that the barcode reader 3b reads from the barcode printed on the coupon 7, and the barcode reader 3b that receives the coupon 7 This is a work area for storing the check-in date and time indicating the date and time when the barcode printed on is read.

  For example, as shown in FIG. 19, “1” and “1” are stored as store ID data, and “1” and “2” are stored as coupon issue store ID data. The date and time are stored as check-in date and time data.

  In FIG. 16, when the work areas H to J are cleared, the server 5 acquires the store ID of the store from the setting file preset in the personal computer 2 and stores it in the work area H (step S304).

  Subsequently, the server 5 stores the data of the same store ID as the store ID stored in the work area H and the data whose check-in date and time is the current month (the month in which the store ID is acquired in the process of step S306). It retrieves from the user card history table 9 stored in 5a and stores it in the work area I as user card history information (step S305).

  In addition, the server 5 stores data that has the same store ID as the store ID stored in the work area H and that has a check-in date and time of the current month (the month in which the store ID was acquired in the process of step S306). Is retrieved from the coupon history table 10 and stored in the work area J as coupon history information (step S306).

  The server 5 extracts the user card history information stored in the process of step S305 from the work area I, and plots it on a bar graph for each day (step S307).

  Furthermore, the server 5 takes out the coupon history information stored in the process of step S305 from the work area J, and plots it on a bar graph for each day (step S308).

  FIG. 20 is an explanatory diagram showing an example of a bar graph obtained by the processes in steps S306 and S307 in FIG.

  In this case, when the store personal computer 2 requests the server 5 to perform the process by the result confirmation function, the server 5 executes the process shown in FIG. 16, and displays the display on the personal computer 2 as shown in FIG. The bar graph created by the processing of steps S306 and S307 in FIG. 16 displays, for example, the user card and the number of coupon users for each day.

<< Effects of Embodiment >>
Thereby, according to this embodiment, when reading the information of the wireless IC tag affixed to the user card 6, the user's store visit history is automatically posted, so which user has visited which store Such information can be propagated between users through SNS, and the store can be widely known to consumers while eliminating the need for aggressive advertising.

  In addition, it is possible to grasp the number of people who actually hold the user card 6 over the RFID reader 3a and the number of people who brought the coupon 7, and the store side can quantitatively grasp the effect of attracting customers.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say.

  The present invention is suitable for a technique for attracting customers to a store using SNS and a quantitative grasping technique of the effect of attracting customers.

DESCRIPTION OF SYMBOLS 1 Information processing system 2 Personal computer 3 Input device 3a RFID reader 3b Bar code reader 4 SNS server 5 Server 5a Database 6 User card 7 Coupon 8 User table 9 User card history table 10 Coupon history table 11 Store table NT Network

Claims (19)

Electronic devices installed in actual stores, equipped with input devices that read various information,
A server that is connected via a network to which the electronic device is connected and that processes information read by the input device;
The server
Search the store information of the actual store where the input device is installed from the user information read by the input device, and post the searched store information to the SNS site operated by the SNS server connected to the network. An information processing system characterized by The information processing system according to claim 1,
The server
User information read by the input device, and a user table storing SNS site information;
A user history table storing a history of the user information;
A coupon history table storing coupon usage history;
A store table for storing the store information;
The SNS site information corresponding to the user information read by the input device is retrieved and retrieved from the user table, a store ID that is an identification code of an actual store where the input device is installed is acquired from the electronic device, and The store information corresponding to the store ID is taken out from the store table, the SNS site information taken out from the user table is used to log in to the SNS site operated by the SNS server, and the store information taken out from the store table is logged in. An information processing system for posting to an SNS site. The information processing system according to claim 2,
The SNS site information extracted from the user table is:
A user ID corresponding to the user information read by the input device, a social ID for logging in to the SNS site corresponding to the user ID, and a password for logging in to the SNS site corresponding to the social ID,
The store information taken out from the store table is:
Including the store name of the store where the input device is installed, the web address of the store, the web address of a coupon that can be used at the store, and a file path indicating the storage location of the image,
The server
The social ID extracted from the user table and the password are used to log in to the SNS server, and the image extracted based on the store name, store web address, coupon web address, and file path extracted from the store table are stored in the SNS. An information processing system for posting to an SNS site operated by a server. The information processing system according to claim 3.
The server
When a request for confirmation of performance is received from the electronic device, a store ID is acquired from the electronic device, and history data matching the acquired store ID is extracted from the user history table and output to the electronic device. An information processing system characterized by The information processing system according to claim 4,
The history data retrieved by the server is
An information processing system characterized by the number of users using the store that acquired the store ID in the same month as the check-in date and time indicating the date and time when the input device read user information. In the information processing system according to any one of claims 3 to 5,
The server
When there is a request for performance confirmation from the electronic device, the store ID is acquired from the electronic device, and coupon history data matching the acquired store ID is extracted from the coupon history table and output to the electronic device. An information processing system characterized by this. The information processing system according to claim 6,
The coupon history data is
The number of coupon users in a coupon issue store ID in the same month as the check-in date and time indicating the date and time when the input device reads user information. A behavior information management method for managing consumer behavior information by a computer system connected to a network to which an electronic device installed in an actual store is connected and processing information read by an input device provided in the electronic device There,
A search step for searching store information of an actual store where the input device is installed from user information read by the input device;
A posting step of posting the searched store information to an SNS site operated by an SNS server connected to the network. The management method of behavior information according to claim 8,
The search step includes
Retrieving and retrieving SNS site information corresponding to the acquired user information from a user table provided in the computer system;
Acquiring a store ID, which is an identification code of a store in which the input device is installed, from the electronic device, and retrieving and retrieving store information corresponding to the store ID from a store table provided in the computer system. Have
The posting step includes
Logging into the SNS site operated by the SNS server using the SNS site information extracted from the user table;
Posting the store information extracted from the store table to the logged-in SNS site. The behavior information management method according to claim 9,
The SNS site information extracted from the user table is:
A user ID corresponding to the user information read by the input device, a social ID that is an identification code for logging in to the SNS site corresponding to the user ID, and a password for logging in to the SNS site corresponding to the social ID. Including
The store information taken out from the store table is:
Including the store name of the store where the input device is installed, the web address of the store, the web address of a coupon that can be used at the store, and a file path indicating the storage location of the image,
The step of logging in to the SNS site includes:
Log in to the SNS site operated by the SNS server using the social ID and password extracted from the user table,
Posting to the SNS site includes:
A behavior information management method comprising posting an image extracted based on a store name, a store web address, a coupon web address, and a file path extracted from the store table to an SNS site operated by the SNS server. The behavior information management method according to claim 9 or 10,
Furthermore, when there is a request for performance confirmation from the electronic device, a step of acquiring a store ID from the electronic device;
And a step of extracting history data matching the acquired store ID from the user history table provided in the computer system and outputting the history data to the electronic device. The management method of action information according to claim 11,
The history data taken out by the step of outputting to the electronic device is
The behavior information management method, wherein the number of users using the store that acquired the store ID in the same month as the check-in date and time indicating the date and time when the input device reads the user information. In the management method of action information given in any 1 paragraph of Claims 9-12,
Furthermore, when there is a request for performance confirmation from the electronic device, a step of acquiring a store ID from the electronic device;
And extracting the coupon history data that matches the acquired store ID from the coupon history table provided in the computer system and outputting the coupon history data to the electronic device. The behavior information management method according to claim 13,
Coupon history data taken out by the step of outputting to the electronic device is
The behavior information management method, which is the number of coupon users in the coupon issue store ID in the same month as the check-in date and time indicating the date and time when the input device reads the user information. A search step for searching store information of an actual store where the input device is installed, from user information read by an input device provided in an electronic device installed in the actual store and connected via a network;
A program that causes a computer system to execute a posting step of posting the searched store information to an SNS site operated by an SNS server connected to the network. The program according to claim 15, wherein
The search step includes
Retrieving and retrieving SNS site information corresponding to the acquired user information from a user table provided in the computer system;
Obtaining a store ID, which is an identification code of an actual store in which the input device is installed, from the electronic device, and retrieving store information corresponding to the store ID from a store table provided in the computer system; Have
The posting step includes
Logging into the SNS site operated by the SNS server using the SNS site information extracted from the user table;
Posting the store information retrieved from the store table to the logged-in SNS site. The program according to claim 16, wherein
The step of logging in to the SNS site includes:
Log in to the SNS site operated by the SNS server using the social ID and password extracted from the user table,
Posting to the SNS site includes:
The program which posts the image extracted based on the store name taken out from the said store table, a store web address, a coupon web address, and a file path to the SNS site which the said SNS server manages. The program according to claim 16 or 17,
Furthermore, when there is a request for performance confirmation from the electronic device, a step of acquiring a store ID from the electronic device;
The history data matching the acquired store ID is searched from the user history table provided in the computer system, and the store ID is acquired in the same month as the check-in date and time indicating the date and time when the input device reads the user information. And outputting the number of users who have used the store to the electronic device. The program according to claim 17 or 18,
Furthermore, when there is a request for performance confirmation from the electronic device, a step of acquiring a store ID from the electronic device;
Coupon issuing store ID of the same month as the check-in date and time indicating the date and time when the input device reads user information from the coupon history table provided in the computer system is searched for coupon history data that matches the acquired store ID. And a step of taking out the number of coupon users and outputting it to the electronic device.

Images