JP7315632B2 - Privilege Granting System, Privilege Granting Method, and Program - Google Patents

Description

TECHNICAL FIELD The present disclosure relates to a privilege granting system, a privilege granting method, and a program.

A service is known in which a lottery process is executed based on a predetermined winning probability and a privilege is given to a winning user. Patent Literature 1 describes that the winning probability increases as the purchase amount of the product or the number of accesses to the website increases. Patent Literature 2 describes identifying an important user based on the purchase amount of a product or the number of visits to the store, and increasing the winning probability of the important user. Patent Literature 3 describes that the probability of winning increases as the number of lottery entries increases. Patent Literature 4 describes changing the winning probability based on the user's asset amount or membership years.

JP-A-2002-99806 JP 2003-77063 A JP 2003-141296 A JP 2009-245291 A

With the technique described above, there is a possibility that an unexpectedly large number of users will win, and an unexpectedly large number of benefits will be given to the users. For example, in the technology disclosed in Patent Document 1, when the number of users who have purchased a large amount of products or the number of times of access increases, there is a possibility that an unexpectedly large number of benefits will be granted to the users. The techniques of Patent Literatures 2 to 4 are similar, and there is a possibility that many benefits will be given to the user unexpectedly. For this reason, with the conventional technology, it was sometimes impossible to set the amount of privilege given to the user within an appropriate range.

One of the purposes of the present disclosure is to bring the amount of privilege granted to the user into an appropriate range.

A benefit granting system according to the present disclosure includes usage status information acquisition means for acquiring usage status information about the usage status of a service by each of a plurality of users; determination means for determining at least one of a winning probability and a privilege for each user based on a relative relationship between a usage status indicated by the usage status information of the user and a usage status indicated by the usage status information for another user; and a privilege granting means.

According to the present disclosure, it is possible to set the amount of privilege granted to the user within an appropriate range.

It is a figure which shows an example of the whole structure of the privilege provision system which concerns on embodiment. It is a figure which shows an example of a mode that a user uses a settlement service. FIG. 10 is a diagram showing an example of a flow from when a user enters a campaign to when a lottery is drawn. It is a functional block diagram which shows an example of the function implement|achieved by a privilege provision system. It is a figure which shows an example of a user database. It is a figure which shows an example of a campaign database. It is a flowchart which shows an example of the process performed by a privilege provision system. FIG. 21 is a functional block diagram of Modification 9;

[1. Overall Configuration of Privilege Granting System]
An example of an embodiment of a privilege granting system according to the present disclosure will be described. Drawing 1 is a figure showing an example of whole composition of a privilege grant system concerning an embodiment. The privilege provision system S includes each configuration in FIG. 1 . Network N is any network such as the Internet or a LAN. The privilege provision system S should just contain at least 1 computer, and is not restricted to the example of FIG.

Server 10 is a server computer. Control unit 11 includes at least one processor. The storage unit 12 includes a volatile memory such as RAM and a nonvolatile memory such as a hard disk. The communication unit 13 includes at least one of a communication interface for wired communication and a communication interface for wireless communication.

The user terminal 20 is a user's computer. For example, the user terminal 20 is a smartphone, tablet terminal, wearable terminal, or personal computer. Physical configurations of the control unit 21, the storage unit 22, and the communication unit 23 are the same as those of the control unit 11, the storage unit 12, and the communication unit 13, respectively. The operation unit 24 is an input device such as a touch panel. The display unit 25 is a liquid crystal display or an organic EL display.

The store terminal 30 is a store computer. For example, the store terminal 30 is a POS terminal, personal computer, tablet terminal, or smart phone. The physical configurations of the control unit 31, the storage unit 32, the communication unit 33, the operation unit 34, and the display unit 35 are the same as those of the control unit 11, the storage unit 12, the communication unit 13, the operation unit 24, and the display unit 25, respectively. The store terminal 30 is connected to a reading device 36 such as a code reader, reader/writer, or camera. The reading device 36 may be included inside the store terminal 30 .

Note that the programs stored in each of the storage units 12, 22, 32 may be supplied via the network N. In addition, a program stored in a computer-readable information storage medium may be supplied via a reading unit (e.g., optical disk drive or memory card slot) for reading the information storage medium, or an input/output unit (e.g., USB port) for inputting/outputting data with an external device.

[2. Overview of privilege granting system]
In privilege granting system S, each of a plurality of users is provided with a predetermined service. Each user operates his/her own user terminal 20 to use the service. In this embodiment, a settlement service will be described as an example of the service. The service can be of any type and is not limited to payment services. Examples of application to other services will be described in modified examples below.

A payment service is a service that provides electronic payment. Electronic payment is sometimes called cashless payment. Payment instruments available in the payment service may be of any type. For example, payment means may be credit cards, debit cards, electronic money, electronic cash, points, bank accounts, wallets, virtual currencies, or combinations thereof. Since electronic payment using a code such as a bar code or two-dimensional code is sometimes called code payment, the code may correspond to payment means.

In the present embodiment, a case where a user visits a real store and uses a payment service will be taken as an example. The payment service itself can use various known methods. In this embodiment, a method for a user to use a payment application installed on the user terminal 20 will be described. For example, the user can use the payment service by entering a user ID and password to log in to the payment service after completing a predetermined use registration from the payment application.

FIG. 2 is a diagram showing an example of how a user uses a settlement service. When the user logs in to the payment service, the home screen G1 of the payment application is displayed on the display unit 25. FIG. The home screen G1 displays a code C10 for using the payment method set as the payment source. The user presents the code C10 to the clerk. When the store clerk reads the code C10 with the reading device 36, a predetermined settlement process is executed between the store terminal 30 and the server 10. FIG. Various known processes can be used for the settlement process itself.

In this embodiment, when a user uses a settlement service, a predetermined lottery process is executed, and a campaign is held in which a privilege is given to the user who wins the lottery. If the user wins, a privilege corresponding to the grade is granted. In the present embodiment, a campaign that requires entry by the user is taken as an example, but a campaign that does not require entry by the user may be used. For example, when the user selects the button B11, an entry acceptance screen for accepting entries is displayed on the display unit 25. FIG.

FIG. 3 is a diagram showing an example of the flow from when a user enters a campaign to when a lottery is drawn. The entry acceptance screen G2 displays, as details of the campaign, the probability of winning and benefits for each grade. In this embodiment, the user's winning probability changes based on the user's ranking. Rankings are determined based on usage of payment services. For example, the ranking is determined based on the total usage amount after entry. For example, the higher the ranking, the higher the winning probability.

When the user selects the button B20, entry to the campaign is completed, and an entry completion screen G3 is displayed on the display unit 25. FIG. Details of winning probability for each ranking are displayed on the entry completion screen G3. When the user has just entered, the total usage amount after the entry is 0 yen, so the user's ranking is the lowest. When the user selects button B30, the screen returns to home screen G1.

The home screen G1 displays that the player has already entered the campaign. When the user selects the button B12, the winning probability according to the current ranking can be confirmed. For example, when the user presents the code C10 to the store clerk and the code C10 is read by the reading device 36, settlement processing and lottery processing are executed. When the settlement process and lottery process are executed, the display unit 25 displays a settlement completion screen G4 indicating that these processes have been completed. The store used, the amount spent, and the lottery results are displayed on the settlement completion screen G4.

For example, when the user wins, the payment completion screen G4 displays a message indicating that the prize has been won, the winning grade, and the contents of the privilege. The privilege may be given immediately after winning, or may be given after a certain amount of time has passed. If the user did not win, a message indicating that the user did not win is displayed on the settlement completion screen G4. For example, the payment completion screen G4 may display the total usage amount after entry and the current ranking.

As described above, when a user enters a campaign, the privilege granting system S determines the user's ranking based on the total usage amount after the entry. The privilege granting system S determines the user's winning probability based on the user's ranking. As a result, even if an unexpectedly large number of users enter the campaign, the number of users with a relatively high probability of winning falls within a fixed number, so the number of users who win a prize also falls within a fixed number. Therefore, the amount of privilege given to the user can be set within an appropriate range. Henceforth, the detail of privilege provision system S is demonstrated.

[3. Functions realized by the privilege granting system]
FIG. 4 is a functional block diagram showing an example of functions realized by the privilege granting system S. As shown in FIG.

[3-1. Functions realized by the server]
The data storage unit 100 is realized mainly by the storage unit 12 . Each of the payment processing execution unit 101 , the usage status acquisition unit 102 , the determination unit 103 , the notification unit 104 , and the privilege provision unit 105 is implemented mainly by the control unit 11 .

[Data storage part]
The data storage unit 100 stores data necessary for providing payment services. For example, the data storage unit 100 stores a user database DB1 and a campaign database DB2.

FIG. 5 is a diagram showing an example of the user database DB1. The user database DB1 is a database that stores information about users. For example, the user database DB1 stores user IDs, passwords, user names, code IDs, payment method information, usage status information, entry information, total usage information, ranking information, and lottery result information. When a certain user completes usage registration, a new record is created in the user database DB1, and information such as the user ID of this user is stored.

A user ID is user identification information that can identify a user. Therefore, the user ID can be read as user identification information. User identification information may be any information, for example, other information such as an email address or phone number may be used. A user ID is sometimes called an account. A user ID and password are used to log in to the payment service.

In this embodiment, the code C10 must include some user identification information in order to identify the user who requested the payment process. Although the user ID may be included in the code C10, this embodiment describes the case where the code ID is included in the code C10. Code ID is a kind of user identification information. The code ID is information different from the user ID. For example, the code ID is represented by numbers, characters, or a combination thereof.

A code ID is issued at an arbitrary timing. An expiration date may be set for the code ID. For example, the code ID is issued when the application is started, when the expiration date has passed, or when the user instructs reissuance. The code ID issuing method itself may be any issuing method. Code IDs are issued so as not to overlap with other code IDs within the validity period. For example, code IDs are issued randomly.

The payment method information is information about the payment method. For example, if the payment method is a credit card, the payment method information includes credit card number, expiration date, and nominee information. If the settlement means is electronic money, the settlement means information includes an electronic money ID that can identify the electronic money and the balance of the electronic money. When the payment method is points, the payment method information includes a point ID that can identify the points and the balance of the points. Similarly for other payment methods, the payment method information includes information that can identify the payment method. If the user can use a plurality of payment methods, the payment method information also includes information that enables identification of the payment method of the payment source. The payment method of the payment source can be changed by the user.

The usage status information is information about the usage status of the settlement service. The usage status can also be referred to as a usage history. For example, the usage status information includes usage date and time, store identification information that can identify the store used, and usage amount. If the server 10 can acquire product information that can identify the product purchased by the user, the usage information may include the product information. When a certain user uses the settlement service, the user's usage information is updated. The usage information may include other information such as the total usage amount, average usage amount, number of usages, frequency of usage, or duration of usage of the payment service.

Entry information is information about whether or not there is an entry to the campaign. When a plurality of campaigns are being held simultaneously, the entry information includes information regarding the presence or absence of entries for each campaign. The usage total amount information is information related to the user's usage total amount. In this embodiment, the ranking is determined based on the total usage after entry, so the total usage information is information about the total usage after entry.

The ranking information is information related to user rankings. For example, when a predetermined update timing arrives, the server 10 determines the ranking of individual users based on the usage information of all users who have entered the campaign. For example, the server 10 determines the rankings in descending order of the total usage amount after the entry, starting with the first place. The higher the total usage after entry, the higher the ranking.

Note that the ranking may be determined based on the usage status of the payment service, and may be determined based on information other than the total usage amount. Ranking may be determined based on the relative relationships described later. Also, the timing of updating the ranking may be any timing. For example, rankings may be updated every hour, hours, days, or days. The ranking may be updated each time a payment process is executed.

If no entry into the campaign is required, the server 10 may determine a ranking among all users. Alternatively, for example, the server 10 may determine ranking for each attribute of the user. This attribute may be anything that allows the user to be categorized in some way, such as address, age group, occupation, rank, or hobby.

The lottery result information is information about the lottery result. For example, the lottery result information includes lottery date and time, information enabling identification of whether or not the lottery was won, and the grade of the lottery. In the case where a privilege is given to the winning user after the fact, the lottery result information may include the date and time when the privilege is given.

FIG. 6 is a diagram showing an example of the campaign database DB2. The campaign database DB2 is a database that stores information on campaigns in payment services. For example, the campaign database DB2 stores campaign IDs, campaign names, holding periods, privilege information, and winning probability information. The campaign database DB2 can be edited by the administrator of the payment service. When the administrator plans a new campaign, a new record is created in the campaign database DB2 to store information about this campaign.

The campaign ID and campaign name are information that can identify the campaign. The holding period is the period from the start to the end of the campaign. The privilege information is information on the details of the privilege given to the winning user. In this embodiment, since there are a plurality of grades, the privilege information indicates the details of the privilege for each grade. The winning probability information is information relating to winning probability. In this embodiment, since there are a plurality of grades, the winning probability information indicates the winning probability for each grade. Also, since the winning probability changes according to the ranking, the winning probability information indicates the winning probability for each ranking.

[Payment processing execution part]
When a user makes a payment request, the payment processing execution unit 101 executes payment processing based on the user's payment method information. A payment request is a notification for requesting execution of payment processing. A payment request is made by transmitting data in a predetermined format. In this embodiment, when the code C10 is read by the reader 36, the store terminal 30 acquires the code ID included in the code C10. The store terminal 30 transmits a payment request including this code ID to the server 10 . The payment request includes store identification information that can identify the store and information such as the usage amount.

When the server 10 receives the payment request from the store terminal 30, the payment processing execution unit 101 refers to the user database DB1 and acquires payment method information associated with the code ID included in the payment request. The payment processing execution unit 101 executes payment processing based on this payment method information. The payment processing execution unit 101 updates the usage status information associated with the code ID included in the payment request based on the execution result of the payment processing. The payment processing execution unit 101 transmits the execution result of the payment processing to the store terminal 30 .

As described above, various known methods can be used for the settlement process itself. For example, as a method of using the payment service, there are a method of reading a code posted at a store with the user terminal 20 and a method of the user operating the user terminal 20 to select a store to use. In these cases, the user terminal 20 sends the payment request to the server 10 instead of the store terminal 30 . The payment processing execution unit 101 executes payment processing based on a payment request from the user terminal 20 .

[Usage Status Acquisition Unit]
The usage status acquisition unit 102 acquires usage status information regarding the usage status of the payment service by each of a plurality of users. The usage status acquisition unit 102 acquires the usage status information of users to be drawn. In the present embodiment, since the lottery process is executed together with the payment process, the lottery target user is the user who requested the payment process. That is, the lottery target user is the user identified by the code ID included in the payment request. Since the usage information is stored in the user database DB1, the usage information acquisition unit 102 acquires the usage information stored in the user database DB1.

[Decision part]
The determining unit 103 determines, for each user, at least one of the winning probability and the privilege of the user based on the relative relationship between the usage status indicated by the usage status information of the user and the usage status indicated by the usage status information of other users. This user is a lottery target user. Other users are users other than the lottery target users. In this embodiment, a case will be described in which all users other than the lottery target users among the users who have entered the campaign correspond to other users, but only some users other than the lottery target users may correspond to other users.

A relative relationship is a difference between a certain user's usage status and another user's usage status. In the present embodiment, as an example of the relative relationship, ranking regarding service usage will be described. Therefore, the description of ranking can be read as a relative relationship. The relative relationship may be any relationship and is not limited to ranking.

For example, when the total usage amount corresponds to the usage status, which of a certain user's total usage amount and another user's total usage amount is larger corresponds to a relative relationship. The difference between these usage amounts may correspond to a relative relationship. For example, the difference between the total usage amount of a certain user and the average total usage amount of all users may correspond to the relative relationship. The same applies when the average amount of use, the number of times of use, the frequency of use, or the period of use corresponds to the state of use. When a combination of these multiple items corresponds to the usage status, the difference in scores calculated based on these combinations may correspond to the relative relationship.

For example, the determination unit 103 determines, for each user, at least one of the winning probability and the privilege of the user based on the user's ranking. In this embodiment, a case will be described in which the benefits are fixed for all users and the determining unit 103 determines the winning probability. For example, the relationship between ranking and winning probability is defined in the winning probability information of the campaign database DB2. The determining unit 103 refers to the campaign database DB2 and determines the winning probability of the user by acquiring the winning probability associated with the ranking of the user.

It should be noted that the winning probability information is assumed to define the relationship between the ranking and the winning probability so that the expected value of benefits generated in the entire campaign is smaller than the winning probability is uniform for all users (that is, compared to the conventional method). The determination unit 103 may determine the winning probability of the user so that the expected value of benefits occurring in the entire campaign is small. Here, a simpler example than the present embodiment is given, and in a campaign assuming that 10,000 people will participate, a prize of 1,000 yen will be given to those who win the lottery. If 1% is set as a uniform winning probability for all users, the expected value of the privilege when 10,000 people participate in the campaign as expected is 10,000 people×1%×1,000 yen, which is 100,000 yen. When 20,000 people participate in the campaign, the expected value of the privilege is 200,000 yen (20,000 people x 1% x 1,000 yen).

On the other hand, it is assumed that 1.2% is set as the winning probability of the users ranked 1st to 5000th, and 0.8% is set as the winning probability of the users ranked 5001st and higher. The expected value of the privilege when 10,000 people participate in the campaign as expected is 5,000 people x 1.2% x 1,000 yen + 5,000 people x 0.8% x 1,000 yen, which is 100,000 yen. That is, if the number of users participating in the campaign is as expected, the expected value is the same as when the probability of winning is uniform. When 20,000 people participate in the campaign, the expected value of the privilege is 5,000 people x 1.2% x 1,000 yen + 15,000 people x 0.8% x 1,000 yen, which is 180,000 yen. For this reason, the amount of benefits generated in the entire campaign is suppressed more than in the case of a uniform winning probability. In this way, winning probability information may be defined so that the expected value of benefits for the entire campaign when more users than expected participate is smaller than when all users are uniform.

Note that if the number of users participating in the campaign is small, there is a possibility that the amount of benefits generated in the entire campaign will be greater than in the method of the present embodiment, rather than using a uniform winning probability. In this case, the amount of benefits generated in the entire campaign will be smaller than when the expected number of participants participates, so it is considered that the organizer will not be disadvantaged.

Similarly, when using elements other than ranking as the "relative relationship" mentioned above, the winning probability information should be defined so that the expected value of the benefits of the entire campaign can be suppressed more than if the winning probability is uniform. For example, it is assumed that the relationship between the total usage amount of individual users who participated in the campaign and the average total usage amount corresponds to a "relative relationship." Further, let us assume that the winning probability of the users above the overall average value is 1.2%. Assuming that the uniform winning probability is 1.0%, setting the winning probability of users who are less than the overall average to less than 0.8% makes it possible to suppress the expected value of benefits for the entire campaign. In this way, even if the "relative relationship" is a factor other than the ranking, the winning probability information should be defined so as to suppress the expected value of the benefits of the campaign as a whole.

Also, the data indicating the relationship between the ranking and the winning probability may be in any format, and is not limited to data in a table format such as the winning probability information. For example, if this data is in the form of a formula, the determination unit 103 determines the winning probability of the user by substituting the ranking into the formula and calculating the winning probability. Alternatively, for example, this data may be a program such as a learning model using machine learning. In any of these formats, in this embodiment, the higher the user's ranking, the higher the winning probability. Contrary to the present embodiment, the higher the ranking of the user, the lower the winning probability.

Further, the winning probability is fixed for all users, and the determining unit 103 may determine the privilege for each user based on the user's ranking. In this case, the relationship between the ranking and the privilege is defined in the privilege information of the campaign database DB2. The determining unit 103 refers to the campaign database DB2 and determines the benefits of the user by acquiring the benefits associated with the ranking of the user. Similar to the relationship between ranking and winning probability, these relationships may be in any data format. In this embodiment, the higher the user's ranking, the better the benefits. A good privilege means that the value obtained by the privilege is high. For example, a high return amount corresponds to a good privilege. Contrary to the present embodiment, the higher the ranking of the user, the lower the privilege may be.

Also, neither the winning probability nor the privilege is fixed, and the determining unit 103 may determine both the winning probability and the privilege for each user based on the user's ranking. The determination method in this case may be a combination of the above-described method of determining only the winning probability and the method of determining only the privilege.

[Notification part]
The notification unit 104 notifies each of the plurality of users of at least one of the winning probability and the privilege of the user determined by the determination unit 103 . In this embodiment, the winning probability is determined by the determining unit 103, so the notification unit 104 notifies the user of the winning probability. In this embodiment, the case where the winning probability is notified on the screen displayed when the button B12 of the home screen G1 is selected will be described, but the winning probability notification method may be any method and is not limited to the example of this embodiment.

For example, the notification unit 104 may notify the winning probability on the home screen G1. The notification unit 104 may notify the winning probability on any other screen. The notification unit 104 may notify the winning probability using other means such as e-mail, message application, SNS, SMS, or push notification. The notification unit 104 may notify the winning probability using voice. When the privilege is determined by the determination unit 103, the notification unit 104 may notify the content of the privilege.

[Privilege Grant Department]
The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user determined by the determining unit 103 . In the present embodiment, the privilege granting unit 105 executes a lottery process and grants a privilege to each user based on at least one of the winning probability and the privilege of the user when the user uses the settlement service. This user is a lottery target user.

In the present embodiment, the determination unit 103 determines the winning probability, so the privilege giving unit 105 executes lottery processing and gives a privilege based on the user's winning probability. The privilege giving unit 105 gives a privilege to the user when the user wins. In this embodiment, since there are a plurality of grades, the privilege giving unit 105 gives the user a privilege according to the grade when the user wins. The privilege granting unit 105 does not grant the privilege to the user when the user does not win the prize. The privilege granting unit 105 updates the user's lottery result information based on the user's lottery result.

Various known methods can be used for the lottery itself. For example, the privilege granting unit 105 executes lottery processing based on the user's winning probability and a randomized algorithm, a random algorithm, or a stochastic algorithm. The privilege granting unit 105 also determines the grade of the user when the user wins. If there is only one grade, the privilege giving section 105 only needs to determine whether or not the user wins.

In addition, various known methods can be used as the method of giving the privilege itself. As in the present embodiment, when returning points corresponding to the amount of use corresponds to a privilege, the privilege giving unit 105 gives the privilege to the user by updating the payment method information so that the user's points are increased by the return amount. When the points are returned after the lapse of a certain period of time, the privilege granting part 105 gives the privilege to the user by updating lottery result information so as to include the return amount of the user's points and the date and time when the points are returned. Similarly, in the case of other benefits such as coupons and goods, the method of giving the benefits itself may be a known method.

After being notified by the notification unit 104, the privilege granting unit 105 may execute lottery processing and grant a privilege. For example, after the user selects the button B12 on the home screen G1 and the winning probability is notified, the privilege granting unit 105 executes lottery processing. The privilege granting unit 105 may perform the lottery process in advance instead of when the server 10 receives the payment request. In this case, the privilege granting unit 105 may record the execution result of the lottery process executed in advance in the lottery result information.

[3-2. Functions realized by the user terminal]
The data storage unit 200 is implemented mainly by the storage unit 22 . The display control unit 201 is realized mainly by the control unit 21 . The data storage unit 200 stores data necessary for providing payment services. For example, the data storage unit 200 stores a payment application, a code ID, and an expiration date of the code ID. The display control unit 201 displays the code C10 including the code ID on the home screen G1 based on the payment application. The display control unit 201 also displays other screens described with reference to FIG.

[3-3. Functions realized by store terminals]
Data storage unit 300 is realized mainly by storage unit 32 . The settlement request transmission unit 301 is realized mainly by the control unit 31 . The data storage unit 300 stores data necessary for providing payment services. For example, the data storage unit 300 stores store identification information that can identify the store in which the store terminal 30 is arranged. Data storage unit 300 also stores a program for acquiring the code ID included in code C10.

The settlement request transmission unit 301 transmits a settlement request to the server 10 . For example, when the reader 36 reads the code C10, the payment request transmission unit 301 acquires the code ID included in the code C10. The payment request transmission unit 301 transmits to the server 10 a payment request including store identification information, code ID, and usage amount.

Note that the code ID may not be acquired optically, and may be acquired through communication. For example, the store terminal 30 may acquire the code ID using Wi-Fi (registered trademark), Bluetooth (registered trademark), or infrared communication, or may acquire the code ID using short-range wireless communication employed in known IC cards. The code ID may be input from the operation unit 34 of the store terminal 30.

[4. Processing executed by privilege granting system]
FIG. 7 is a flow diagram showing an example of processing executed in the privilege granting system S. As shown in FIG. The processing shown in FIG. 7 is executed by each of control units 11, 21 and 31 operating according to a program stored in storage units 12, 22 and 32, respectively. Here, it is assumed that the user has entered the campaign.

When the user activates the payment application, the user terminal 20 executes login processing with the server 10 (S1). When the login process is successful, the user terminal 20 causes the display unit 25 to display the home screen G1 (S2). When the user selects the button B12, the winning probability according to the user's ranking is displayed.

When the code C10 is read by the reader 36, the store terminal 30 transmits the code ID included in the code C10 to the server 10 (S3). Upon receiving the code ID, the server 10 executes payment processing based on the payment method information associated with the code ID (S4). In S4, the server 10 updates the usage status information and total usage information of the user. Ranking information may be updated at the time of S4.

The server 10 determines the winning probability of the user based on the ranking information associated with the code ID (S5). The server 10 executes lottery processing based on the winning probability determined in S5 (S6). The server 10 updates the lottery result information based on the execution result of the lottery process of S6 (S7). In S7, when the user wins, a process for giving a privilege corresponding to the grade is also executed.

The server 10 transmits the execution result of the settlement process to the store terminal 30 (S8), and transmits the execution result of the settlement process and lottery process to the user terminal 20 (S9). The shop terminal 30 causes the display unit 35 to display a message indicating that the settlement process has been completed (S10). The user terminal 20 causes the display unit 25 to display the settlement completion screen G4 (S11), and the process ends. The user can know the lottery result from the settlement completion screen G4 displayed in S11.

According to the privilege granting system S of the present embodiment, for each user, the winning probability of the user is determined based on the relative relationship between the usage status indicated by the usage status information of the user and the usage status indicated by the usage status information of other users. As a result, even if an unexpectedly large number of users enter the campaign, the number of users with a relatively high probability of winning can be kept within a fixed number, so that the number of users who win can also be kept within a fixed number. As a result, it is possible to prevent an unexpectedly large number of users from winning, and to set the amount of privilege given to the user within an appropriate range.

In addition, the privilege granting system S uses the ranking regarding the usage status of the payment service as a relative relationship, and determines the winning probability of each user based on the user's ranking. By using the ranking, the amount of privilege given to the user can be set in an appropriate range. For example, if the higher the ranking, the higher the probability of winning, it is possible to motivate users who frequently use the payment service to use the payment service more. If the lower the ranking, the higher the winning probability, it is possible to motivate users who do not often use the payment service to use the payment service.

Further, the privilege granting system S grants a privilege to each user by executing lottery processing based on the winning probability of the user when the user uses the settlement service. As a result, when the user uses the settlement service, the lottery process can be executed on the spot and the privilege can be given. Since the result of the lottery can be known on the spot using the payment service, the interest of the campaign is increased and the use of the payment service can be promoted.

In addition, after notifying each of the plurality of users of at least one of the winning probability and the privilege of the user, the privilege granting system S executes lottery processing and grants the privilege. Accordingly, by notifying the winning probability and benefits in advance, the fairness of the lottery can be ensured and the user can participate in the campaign with peace of mind.

[5. Modification]
Note that the present disclosure is not limited to the embodiments described above. Modifications can be made as appropriate without departing from the gist of the present disclosure.

[5-1. Modification 1]
For example, if a payment service is available at multiple stores, user rankings may be determined for each store. When a plurality of shops belong to a predetermined shop group, user ranking may be determined for each shop group. The store in Modification 1 is meant to include a store group. A store group is a collection of stores with the same name. For example, a store group is a collection of chain stores with a certain name. Store names may be different between stores belonging to a store group. Any store may correspond to the store group. In Modification 1, the store group is simply described as a store.

For example, if there is an operating company that develops a convenience store chain called "XXX Mart", the ranking may be determined within "XXX Mart" as a whole, or the ranking within each store of "XXX Mart" may be determined as in Variation 2 described later. In Modified Example 1, a case will be described in which the ranking is determined in the entire "XXX Mart".

In Modified Example 1, it is assumed that there are a convenience store chain called "XXX Mart" and a supermarket chain called "YYY Supermarket" as shops that can use the payment service. For each user who has entered the campaign, the server 10 totals the total usage amount of the user at "XXX Mart" and the total usage amount of the user at "YYY Supermarket".

The server 10 determines the user's ranking in "XXX Mart" and the user's ranking in "YYY Supermarket" based on these aggregated results, and updates the user's ranking information. It is assumed that the ranking information indicates user rankings for each store.

The determination unit 103 determines at least one of the winning probability and the privilege of the user at the store for each combination of the user and the store, based on the relative relationship between the usage status of the user at the store and the usage status of other users at the store. In modification 1, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of user and store.

For example, the determining unit 103 acquires ranking information associated with a combination of a lottery target user and a store visited by the user. The determination unit 103 determines the winning probability based on the ranking of the stores visited by the user among the ranking information. For example, when a certain user visits "XXX Mart", the determination unit 103 determines the winning probability based on the ranking of "XXX Mart" among the ranking information of this user. When a certain user visits "YYY supermarket", the determining unit 103 determines the winning probability based on the ranking of "YYY supermarket" among the ranking information of this user. Although different from the embodiment in that there is a ranking for each shop, the method of determining the probability of winning is the same as in the embodiment.

Note that the relationship between the ranking and the winning probability may be common to all stores, or may be determined for each store. For example, a relationship for "XXX Mart" and a relationship for "YYY Supermarket" may be defined separately. In addition, relationships between rankings and winning probabilities may be defined for each type of industry, such as relationships for convenience stores, relationships for supermarkets, and relationships for restaurants. In addition, the relationship between rankings and winning probabilities may be determined for each of other attributes such as area and price range.

The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user at the store where the user uses the service. In Modified Example 1, the privilege is fixed for all users and the probability of winning varies depending on the store. Therefore, when a certain user uses the payment service at a certain store, a privilege granting part 105 executes lottery processing and grants a privilege based on the winning probability associated with the combination of this user and this store. Although different from the embodiment in that there is a ranking for each store and the winning probability can change, the lottery process and the awarding method of the privilege itself are the same as in the embodiment.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a privilege for each combination of user and store. For example, when a certain user visits "XXX Mart", the determination unit 103 determines a privilege based on the ranking of "XXX Mart" among the ranking information of this user. When a certain user visits "YYY supermarket", the determining unit 103 determines a privilege based on the ranking of "YYY supermarket" among the ranking information of this user. The privilege granting unit 105 may execute a lottery process and grant a privilege to each user based on the privilege of the user at the store where the user uses the service.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and store. For example, when a certain user visits "XXX Mart", the determination unit 103 determines the winning probability and benefits based on the ranking of "XXX Mart" among the ranking information of this user. When a certain user visits "YYY supermarket", the determining unit 103 determines the winning probability and the privilege based on the ranking of "YYY supermarket" among the ranking information of this user.

According to Modified Example 1, for each combination of a user and a store, at least one of the winning probability and the privilege of the user at the store is determined based on the relative relationship between the usage status of the user at the store and the usage status of other users at the store. Thereby, the amount of privilege given to a user can be made into an appropriate range for every store. In addition, since the ranking is aggregated for each shop rather than the ranking among all shops, the ranking of the shops that the user usually visits can be easily increased. Therefore, it is possible to encourage users to use the settlement service. From the point of view of the store as well, users who have visited the store once are more likely to visit the store again, so the campaign is more effective in attracting customers.

[5-2. Modification 2]
For example, in Modification 1, the case where rankings are aggregated for each store group has been described, but rankings may be aggregated for each individual store belonging to a certain store group. For example, if there is an operating company that operates a convenience store chain called "XXX Mart", the server 10 aggregates the total amount of usage by users at each store named "XXX Mart" and determines the ranking.

The determining unit 103 determines, for each user, at least one of the winning probability and privilege of the user at the first store belonging to the store group and at least one of the winning probability and the privilege of the user at the second store belonging to the store group. In Modified Example 2, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of user and store.

For example, the determining unit 103 acquires ranking information associated with a combination of a lottery target user and a store visited by the user. The determination unit 103 determines the winning probability based on the ranking of the stores visited by the user among the ranking information. For example, when a certain user visits store A of "XXX Mart", the determination unit 103 determines the winning probability based on the ranking of store A of "XXX Mart" among the ranking information of this user. When a certain user visits Store B of "XXX Mart", the determination unit 103 determines the winning probability based on the ranking of Store B of "XXX Mart" among the ranking information of this user. Although different from the embodiment and modification 1 in that there is a ranking for each shop, the winning probability determination method itself is the same as in the embodiment and modification 1. FIG.

Note that the relationship between the ranking and the winning probability may be common to all stores, or may be determined for each store. For example, the relationship of "XXX Mart" for Store A and the relationship of "XXX Mart" for Store B may be determined separately.

When one of a plurality of users uses a first shop, a privilege granting unit 105 executes lottery processing and grants a privilege based on at least one of the winning probability and the privilege of the user at the first shop. When one of a plurality of users uses a second store, a privilege granting unit 105 executes lottery processing and grants a privilege based on at least one of the winning probability and the privilege of the user at the second store. The first store and the second store belong to the same store group but are located in different locations. For example, the A store of "XXX Mart" corresponds to the first store. Store B of "XXX Mart" corresponds to the second store.

In Modified Example 2, the privilege is fixed for all users, and the winning probability is determined for each store in a certain store group. Therefore, when a certain user uses the payment service at a certain store in a certain store group, the privilege granting part 105 executes lottery processing and grants a privilege based on the winning probability associated with the combination of this user and this store. Although different from the embodiment in that there is a ranking for each store in the store group and the winning probability can change, the lottery process and the awarding method of the privilege itself are the same as in the embodiment.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a privilege for each combination of user and store. For example, when a certain user visits store A in "XXX Mart", the determining unit 103 determines a privilege based on the ranking of store A in "XXX Mart" among the ranking information of this user. When a certain user visits Store B of "XXX Mart", the determining unit 103 determines a privilege based on the ranking of Store B of "XXX Mart" among the ranking information of this user. The privilege granting unit 105 may execute a lottery process and grant a privilege to each user based on the privilege of the user at the store where the user uses the settlement service.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and store. For example, when a certain user visits Store A of "XXX Mart", the determination unit 103 determines the winning probability and benefits based on the ranking of Store A of "XXX Mart" among the ranking information of this user. When a certain user visits Store B of "XXX Mart", the determining unit 103 determines the probability of winning and benefits based on the ranking of Store B of "XXX Mart" among the ranking information of this user.

According to Modification 2, the determination unit 103 determines, for each user, at least one of the winning probability and the privilege of the user at the first store belonging to the store group, and at least one of the winning probability and the privilege of the user at the second store belonging to the store group. As a result, the amount of privilege given to the user can be within an appropriate range for each store in a certain store group. In addition, since the ranking is aggregated for each individual store rather than the ranking for all stores or the entire store group, it is easier for the user to increase the ranking for the store that the user usually visits. Therefore, it is possible to encourage users to use the settlement service. From the point of view of the store as well, users who have visited the store once are more likely to visit the store again, so the campaign is more effective in attracting customers.

[5-3. Modification 3]
For example, user rankings may be determined for each time slot. The time period may be of any length, for example every few hours, and the length of each time period may vary. For example, a time slot may be set every two hours during the day, and a longer time slot may be set at night. In Modification 3, a case will be described in which, in combination with Modification 2, the ranking of individual stores in the store group is determined for each time period. However, in combination with Modification 1, the ranking of the entire store group may be determined for each time period, or the ranking of all stores may be determined for each time period, as in the embodiment.

In Modified Example 3, four time zones of 0:00 to 6:00, 6:00 to 12:00, 12:00 to 18:00, and 18:00 to 24:00 are taken as examples. For example, the server 10 aggregates the total usage amount for each time period at each store for each user who has entered the campaign. In the case of the ranking of "XXX Mart" store A, the server 10 aggregates the total usage amount of "XXX Mart" store A for each time period for each user. The server 10 determines the ranking for each time zone in "XXX Mart" based on the aggregated result, and updates the user's ranking information. It is assumed that the ranking information indicates the ranking of users for each time period of each store.

The determination unit 103 may determine at least one of the winning probability and the privilege of the user in the time slot based on the relative relationship between the usage status of the user in the time slot and the usage status of other users in the time slot for each combination of the user and the time slot. In Modified Example 3, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of user and time period.

For example, the determination unit 103 acquires ranking information associated with a combination of a lottery target user and a time period during which the user uses the settlement service. The determination unit 103 determines the winning probability based on the ranking of the stores visited by the user among the ranking information. For example, when a certain user visits store A in “XXX Mart” at 3:00 pm, the determining unit 103 determines the winning probability based on the ranking of store A in “XXX Mart” from 12:00 to 18:00 among the ranking information of this user. Similarly, when the user visits store A of "XXX Mart" in another time period, the determining unit 103 may determine the winning probability based on the ranking in the time period when the user visited this store. The same applies when the user visits another store.

Note that the relationship between the ranking and the winning probability may be common to all time slots, or may be determined for each time slot. For example, a relationship for a time zone from 0:00 to 6:00, a relationship for a time zone from 6:00 to 12:00, a relationship for a time zone from 12:00 to 18:00, and a relationship for a time zone from 18:00 to 24:00 may be defined separately.

The privilege granting unit 105 executes a lottery process and grants a privilege to each user based on at least one of the winning probability and the privilege of the user during the time period when the user uses the service. In the modified example 3, the privilege is fixed for all users, and the winning probability changes depending on the time zone, so the privilege giving part 105 executes lottery processing and gives the privilege based on the winning probability according to the ranking in the time zone when a certain user uses the settlement service at a certain store. It is different from Modification 2 in that there is a ranking for each time period and the probability of winning can change, but the lottery process and the awarding method of benefits are the same as in Modification 2.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a privilege for each combination of user and time period. For example, when a certain user visits Store A of "XXX Mart", the determination unit 103 determines a privilege based on the ranking of the current time zone in Store A of "XXX Mart" among the ranking information of this user.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and time period. For example, when a certain user visits Store A of ``XXX Mart'', the determination unit 103 determines the winning probability and benefits based on the ranking of the current time zone at Store A of ``XXX Mart'' among the ranking information of this user.

According to Modification 3, for each combination of user and time period, at least one of the winning probability and the privilege of the user in the time period is determined based on the relative relationship between the usage status of the user in the time period and the usage status of other users in the time period. As a result, the amount of privilege given to the user can be set within an appropriate range for each time slot. In addition, since the ranking is aggregated for each time slot rather than the ranking for all time slots, it is easier for the user to increase the ranking in the time slot that the user normally uses. Therefore, it is possible to encourage users to use the settlement service. From the point of view of the store as well, since the ranking tends to rise in the time zone when there are few visitors, users can visit the store during this time zone, and the effect of attracting customers during this time zone can be enhanced.

[5-4. Modification 4]
For example, user rankings may be determined for each weather. The weather may be sunny, cloudy, rainy, or snowy weather, and may be climate such as temperature, humidity, wind strength, or rainfall. In Modified Example 4, for the sake of simplification of explanation, two weather conditions, sunny and rainy, will be taken as examples. Further, in Modification 4, a case will be described in which the weather rankings of individual stores in the store group are determined in combination with Modification 2. However, in combination with Modification 1, the weather rankings of the entire store group may be determined, or the weather rankings of all stores may be determined as in the embodiment.

For example, the server 10 aggregates the total usage amount for each weather at each store for each user who has entered the campaign. Information about the weather may be included in the usage information, or the weather may be inferred from the usage time. Weather may be obtained from a known weather information service. In the case of the ranking of store A of "XXX Mart", the server 10 aggregates the total usage amount for each weather at store A of "XXX Mart" for each user. The server 10 determines the ranking for each weather in "XXX Mart" based on the result of this aggregation, and updates the user's ranking information. It is assumed that the ranking information indicates user rankings for each weather.

For each combination of user and weather, the determination unit 103 determines at least one of the winning probability and the privilege of the user in the weather, based on the relative relationship between the usage status of the user in the weather and the usage status of other users in the weather. In Modified Example 4, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of user and weather.

For example, the determination unit 103 acquires ranking information associated with a combination of a lottery target user and the weather when the user uses the settlement service. The determining unit 103 determines the probability of winning based on the ranking of the weather when the user uses the settlement service among the ranking information. The weather at the time of coming to the store may also be obtained from a known weather information service.

For example, when a certain user visits Store A of “XXX Mart” on a sunny day, the determination unit 103 determines the winning probability based on the ranking of store A of “XXX Mart” in sunny weather among the ranking information of this user. Similarly, when the user visits Store A of "XXX Mart" on a rainy day, the determining unit 103 may determine the winning probability based on the rainy day ranking of this store. The same applies when the user visits another store.

Note that the relationship between the ranking and the probability of winning may be common in all weathers, or may be determined for each weather. For example, the relationship for sunny days and the relationship for rainy days may be defined separately.

The privilege granting unit 105 executes a lottery process and grants a privilege to each user based on at least one of the winning probability of the user and the privilege in the weather when the user uses the service. In the modification 4, the privilege is fixed for all users, and the winning probability changes according to the weather, so the privilege giving part 105 executes lottery processing and gives the privilege based on the winning probability according to the ranking in the weather when a certain user uses the settlement service at a certain store. Although different from Modification 2 in that there is a ranking for each weather and the probability of winning can change, the lottery process and the awarding method of benefits are the same as in Modification 2. FIG.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a benefit for each combination of user and weather. For example, when a certain user visits Store A of "XXX Mart", the determination unit 103 determines a privilege based on the current weather ranking of Store A of "XXX Mart" among the ranking information of this user.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and weather. For example, when a certain user visits Store A of “XXX Mart”, the determining unit 103 determines the winning probability and benefits based on the current weather ranking of Store A of “XXX Mart” among the ranking information of this user.

According to Modified Example 4, for each combination of user and weather, at least one of the winning probability and the privilege of the user in the weather is determined based on the relative relationship between the usage status of the user in the weather and the usage status of other users in the weather. As a result, the amount of privilege given to the user can be set within an appropriate range for each weather. In addition, since rankings are tallied for each weather rather than for all weather conditions, rankings for weather conditions not used by other users tend to increase. From the store's point of view, it is easy to increase the ranking of the weather, such as rain, when there are few visitors.

[5-5. Modification 5]
For example, user rankings may be determined for each day of the week. In Modified Example 5, a case will be described in which days of the week are roughly divided into weekdays and weekends, but seven days of the week from Monday to Sunday may also be used. Further, in modification 5, a case will be described in which the ranking for each day of the week is determined for each store in the store group in combination with modification 2, but the ranking for each day of the week for the entire store group may be determined in combination with modification 1, or the ranking for each day of the week for all stores may be determined as in the embodiment.

For example, the server 10 totals the total usage amount for each day of the week at each store for each user who has entered the campaign. In the case of the ranking of "XXX Mart" store A, the server 10 aggregates the total usage amount for each day of the week at "XXX Mart" store A for each user. The server 10 determines the ranking for each day of the week in "XXX Mart" based on this tallied result, and updates the user's ranking information. It is assumed that the ranking information indicates user rankings for each day of the week at each store.

For each combination of a user and a day of the week, the determination unit 103 determines at least one of the winning probability and the privilege of the user on the day of the week based on the relative relationship between the usage status of the user on the day of the week and the usage status of other users on the day of the week. In Modified Example 5, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of users and days of the week.

For example, the determining unit 103 acquires ranking information associated with a combination of a lottery target user and a day of the week on which the user uses the settlement service. The determining unit 103 determines the probability of winning based on the ranking of the shop visited by the user on the day of the week, among the ranking information. For example, when a certain user visits store A of "XXX Mart" on a weekday, the determining unit 103 determines the winning probability based on the ranking of store A of "XXX Mart" on weekdays among the ranking information of this user. Similarly, when the user visits store A of "XXX Mart" on the weekend, the determining unit 103 may determine the winning probability based on the ranking of store A of "XXX Mart" on the weekend. The same applies when the user visits another store.

Note that the relationship between the ranking and the winning probability may be common for all days of the week, or may be determined for each day of the week. For example, a relationship for weekdays and a relationship for weekends may be defined separately.

The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user on the day of the week when the user uses the service. In the modified example 5, the privilege is fixed for all users, and the winning probability changes depending on the day of the week, so the privilege giving part 105 executes lottery processing and gives the privilege based on the winning probability according to the ranking on the day of the week when a certain user uses the settlement service at a certain store. Although different from Modification 2 in that there is a ranking for each day of the week and the probability of winning can change, the lottery process and the awarding method of benefits are the same as in Modification 2. FIG.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a benefit for each combination of users and days of the week. For example, when a certain user visits Store A of "XXX Mart", the determination unit 103 determines a privilege based on the current ranking of the day of the week at Store A of "XXX Mart" among the ranking information of this user.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and day of the week. For example, when a certain user visits Store A of “XXX Mart”, the determination unit 103 determines the winning probability and benefits based on the current ranking of the day of the week at Store A of “XXX Mart” among the ranking information of this user.

According to Modification 5, for each combination of user and day of the week, at least one of the winning probability and the privilege of the user on the day of the week is determined based on the relative relationship between the usage status of the user on the day of the week and the usage status of other users on the day of the week. As a result, the amount of privilege given to the user can be set within an appropriate range for each day of the week. In addition, since the ranking is aggregated for each day of the week rather than ranking for all days of the week, it is easier for the user to increase the ranking for the day of the week that the user normally uses. Therefore, it is possible to encourage users to use the settlement service. From the store's point of view, the day of the week with fewer visitors tends to be ranked higher, so users can target this day of the week to visit the store, and the effect of attracting customers on this day of the week can be enhanced.

[5-6. Modification 6]
For example, user rankings may be determined for each store area. The area may be a unit such as a prefecture or a municipality, or may be an area uniquely determined by the payment service. It is assumed that the area to which each store belongs is defined in the data storage unit 100 in advance. The server 10 aggregates the total usage amount of each area for each user who has entered the campaign. The server 10 determines the user's ranking in each area based on the tallied result, and updates the user's ranking information. It is assumed that the ranking information indicates user rankings for each area.

The determination unit 103 determines at least one of a winning probability and a privilege in the lottery based on the relative relationship between the usage status of the user in the area and the usage status of other users in the area for each combination of user and area. In modification 6, as in the embodiment, the privilege is fixed for all users, and the determining unit 103 determines the winning probability for each combination of user and area.

For example, the determining unit 103 acquires ranking information associated with a combination of a lottery target user and an area in which the store visited by the user is located. The determination unit 103 determines the probability of winning based on the ranking of the area in which the store visited by the user is located among the ranking information. For example, when a certain user visits a store in area A, the determining unit 103 determines the winning probability based on the ranking of area A among the ranking information of this user. When a certain user visits a store in area B, the determination unit 103 determines the winning probability based on the ranking of area B among the ranking information of this user. Although different from the embodiment in that there is a ranking for each area, the winning probability determination method itself is the same as in the embodiment.

Note that the relationship between ranking and winning probability may be common to all areas, or may be determined for each area. For example, the relationship for area A and the relationship for area B may be determined separately.

The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user in the area where the user uses the service. In Modified Example 6, the privilege is fixed for all users, and the winning probability changes depending on the area. Therefore, when a certain user uses the settlement service in a certain area, a privilege giving section 105 executes lottery processing and gives a privilege based on the winning probability associated with the combination of this user and this area. Although different from the embodiment in that there is a ranking for each area and the winning probability can change, the lottery process and the awarding method of the privilege itself are the same as in the embodiment.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a privilege for each combination of user and area. For example, when a certain user visits a store in area A, the determining unit 103 determines a privilege based on the ranking of area A among the ranking information of this user. When a certain user visits a store in area B, the determining unit 103 determines a privilege based on the ranking of area B among the ranking information of this user. The privilege granting unit 105 may execute a lottery process and grant a privilege to each user based on the privilege of the user in the area where the store where the user uses the service is located.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of users and areas. For example, when a certain user visits a shop in area A, the determining unit 103 determines the winning probability and the privilege based on the ranking of area A among the ranking information of this user. When a certain user visits a shop in area B, the determining unit 103 determines the winning probability and the privilege based on the ranking of area B among the ranking information of this user.

According to Modification 6, for each combination of user and area, at least one of the winning probability and the privilege in the lottery is determined based on the relative relationship between the usage status of the user in the area and the usage status of other users in the area. As a result, the amount of privilege given to the user can be set within an appropriate range for each area. In addition, since the ranking is aggregated for each area instead of the ranking among all stores, it is easier for the user to increase the ranking in the area that the user usually uses. Therefore, it is possible to encourage users to use the settlement service. From the point of view of the store as well, users who have visited the store once are more likely to visit the store again, so the campaign is more effective in attracting customers.

[5-7. Modification 7]
For example, if payment services are available when purchasing products from a plurality of manufacturers, user rankings may be determined for each manufacturer. A manufacturer is a company that manufactures products. Manufacturers may cooperate in campaigns for payment services as part of promoting their products. In Modified Example 7, it is assumed that the product information of the product purchased by the user is included in the usage information. It is assumed that the product information includes information such as product identification information such as JAN code, product name, and unit price. It is assumed that the data storage unit 100 stores information that enables identification of which maker the product is for each product identification information.

In Modified Example 7, a case where there are two manufacturers, "CCC Corporation" and "DDD Corporation" will be described. A server 10 sums up the total usage amount of the user for purchasing the merchandise manufactured by 'CCC Corporation' and the total usage amount of the user for purchasing the merchandise manufactured by 'DDD Corporation' for each user who has already entered the campaign. The server 10 determines the ranking of users in "CCC Corporation" and the ranking of users in "DDD Corporation" based on these tallied results, and updates the user ranking information. It is assumed that the ranking information indicates user rankings for each manufacturer.

The determining unit 103 determines, for each combination of a user and a manufacturer, at least one of the winning probability and the privilege of the user at the manufacturer based on the relative relationship between the usage status of the user at the manufacturer and the usage status of other users at the manufacturer. In Modified Example 7, as in the embodiment, the privilege is fixed for all users, and the determination unit 103 determines the winning probability for each combination of user and manufacturer. In Modified Example 7, the store terminal 30 is capable of transmitting product information of products purchased by the user to the server 10 . The server 10 can identify what product the user is going to purchase based on the product information.

For example, the determination unit 103 acquires ranking information associated with a combination of a lottery target user and a manufacturer of products purchased by the user. The determination unit 103 determines the winning probability based on the ranking of the product purchased by the user in the manufacturer of the ranking information. For example, when a certain user purchases a product of "CCC Corporation", the determination unit 103 determines the winning probability based on the ranking of "CCC Corporation" among the ranking information of this user. When a certain user purchases a product of “DDD Inc.”, the determining unit 103 determines the winning probability based on the ranking of “DDD Inc.” among the ranking information of this user. Although different from the embodiment in that there is a ranking for each manufacturer, the method of determining the winning probability itself is the same as in the embodiment.

Note that the relationship between the ranking and the winning probability may be common to all manufacturers, or may be determined for each manufacturer. For example, the relationship for "CCC Corporation" and the relationship for "DDD Corporation" may be defined separately.

The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user in the manufacturer of the product purchased by the user using the service. In Modified Example 7, the privilege is fixed for all users, and the probability of winning varies depending on the manufacturer of the product that the user intends to purchase. Therefore, when a certain user purchases the product of a certain manufacturer, the privilege providing part 105 executes lottery processing based on the probability of winning associated with the combination of the user and the manufacturer to give the privilege. Although different from the embodiment in that there is a ranking for each product and the winning probability can change, the lottery process and the awarding method of the privilege itself are the same as those in the embodiment.

Note that the winning probability is fixed for all users, and the determination unit 103 may determine a privilege for each combination of users and manufacturers. For example, when a certain user purchases a product of "CCC Corporation", the determination unit 103 determines a privilege based on the ranking of "CCC Corporation" among the ranking information of this user. When a certain user purchases a product of "DDD Corporation", the determination unit 103 determines a privilege based on the ranking of "DDD Corporation" among the ranking information of this user. The privilege granting unit 105 may execute a lottery process and grant a privilege to each user based on the privilege of the user from the manufacturer of the product purchased by the user.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and manufacturer. For example, when a certain user purchases a product of "CCC Corporation", the determination unit 103 determines the winning probability and benefits based on the ranking of "CCC Corporation" among the ranking information of this user. When a certain user purchases a product of “DDD Inc.”, the determination unit 103 determines the winning probability and the privilege based on the ranking of “DDD Inc.” among the ranking information of this user.

According to Modified Example 7, for each combination of a user and a manufacturer, at least one of the winning probability and the privilege of the user at the manufacturer is determined based on the relative relationship between the usage status of the user at the manufacturer and the usage status of other users at the manufacturer. As a result, the amount of privilege given to the user can be set within an appropriate range for each manufacturer. In addition, since the ranking is aggregated for each maker instead of ranking among all makers, the ranking of products that the user normally purchases by the maker can be easily increased. Therefore, it is possible to encourage users to use the settlement service. From the manufacturer's point of view as well, users who have purchased their products once are more likely to purchase them again, which increases the sales promotion effect of the campaign.

[5-8. Modification 8]
For example, in Modification 7, the ranking is determined for each manufacturer, but the ranking may be determined for each product. The product may be a specific product targeted by a campaign, or it may be a broad product category such as food or beverage. In modified example 8, as in modified example 7, it is assumed that product information of products purchased by the user is included in the usage status information.

Modification 8 describes a case where two products, "EEE juice" and "FFF cake", are on campaign. For each user who has entered the campaign, the server 10 totals the total usage amount of "EEE juice" purchased by the user and the total usage amount of "FFF cake" purchased by the user. The server 10 determines the user's ranking for "EEE juice" and the user's ranking for "FFF cake" based on these aggregated results, and updates the user's ranking information. It is assumed that the ranking information indicates the user's ranking for each product.

For example, the determination unit 103 determines at least one of the winning probability and the privilege based on the relative relationship between the usage status of the product by the user and the usage status of the product by other users for each combination of the user and the product. In modification 8, as in the embodiment, the privilege is fixed for all users, and the determining unit 103 determines the winning probability for each combination of users and products.

For example, the determination unit 103 acquires ranking information associated with a combination of a lottery target user and a product purchased by the user. The determining unit 103 determines the winning probability based on the ranking of the product purchased by the user among the ranking information. For example, when a certain user purchases the product "EEE juice", the determination unit 103 determines the winning probability based on the ranking of this product among the ranking information of this user. When a certain user purchases the product “FFF cake”, the determining unit 103 determines the winning probability based on the ranking of this product among the ranking information of this user. Although different from the embodiment in that there is a ranking for each product, the winning probability determination method itself is the same as in the embodiment.

Note that the relationship between the ranking and the winning probability may be common to all products, or may be determined for each product. For example, a relationship for the product "EEE juice" and a relationship for the product "FFF cake" may be defined separately.

The privilege granting unit 105 executes a lottery process and grants a privilege to each user based on at least one of the winning probability and the privilege of the product purchased by the user using the service. In the modified example 8, the privilege is fixed for all users, and the winning probability changes according to the product that the user is going to purchase. Therefore, when a certain user purchases a certain product, the privilege granting part 105 executes lottery processing based on the winning probability associated with the combination of this user and this product, and grants the privilege. Although different from the embodiment in that there is a ranking for each product and the winning probability can change, the lottery process and the awarding method of the privilege itself are the same as those in the embodiment.

Note that the winning probability is fixed for all users, and the determining unit 103 may determine a privilege for each combination of users and products. For example, when a certain user purchases a product "EEE juice", the determining unit 103 determines a privilege based on the ranking of this product among the ranking information of this user. When a certain user purchases the product “FFF cake”, the determining unit 103 determines a privilege based on the ranking of this product among the ranking information of this user. The privilege granting unit 105 may execute the lottery process and grant a privilege to each user based on the privilege of the user in the product purchased by the user.

Alternatively, neither the winning probability nor the privilege is fixed, and the determination unit 103 may determine both the winning probability and the privilege for each combination of user and product. For example, when a certain user purchases a product "EEE juice", the determining unit 103 determines the winning probability and the privilege based on the ranking of this product among the ranking information of this user. When a certain user purchases the product “FFF cake”, the determining unit 103 determines the winning probability and the privilege based on the ranking of this product among the ranking information of this user.

According to Modification 8, for each combination of user and product, at least one of the winning probability and the privilege is determined based on the relative relationship between the usage status of the product by the user and the usage status of the product by other users. As a result, the amount of privilege given to the user can be set in an appropriate range for each product. In addition, since the ranking is aggregated for each product rather than ranking among all products, the ranking of products that the user normally purchases can be easily increased. Therefore, it is possible to encourage users to use the settlement service. From the point of view of the manufacturer or the store as well, the possibility that users who have purchased a specific product once will purchase it again increases, so the sales promotion effect of the campaign increases.

[5-9. Modification 9]
For example, the winning probability determined based on the user's ranking may be changed based on the user's usage information. For example, the winning probability determined based on the ranking among all users as in the embodiment may be changed based on the usage status of the user at the store visited by the user. For example, the winning probability may be changed such that the greater the total amount spent at the store visited by the user, the greater the increase from the winning probability determined based on the ranking among all users.

FIG. 8 is a functional block diagram of a ninth modification. The changing unit 106 is implemented mainly by the control unit 11 . The changing unit 106 changes, for each user, at least one of the winning probability and the privilege of the user determined by the determining unit 103 based on the usage information of the user. In the ninth modification, similar to the embodiment, the award is fixed for all users, and the determination unit 103 determines the winning probability for each user.

The changing unit 106 increases the winning probability determined by the determining unit 103 for each user when the usage status indicated by the usage status information of the user satisfies a predetermined condition. For example, the changing unit 106 may increase the winning probability determined by the determining unit 103 of the modified example 1 or modified example 2 when the total usage amount of the store or store group visited by the user is equal to or greater than the threshold. The changing unit 106 may increase the winning probability determined by the determining unit 103 of Modification 3 when the total usage amount during the time period in which the user uses the payment service is equal to or greater than the threshold.

The change unit 106 may increase the winning probability determined by the determination unit 103 of Modifications 4 to 6 when the total usage amount in the weather, day of the week, or area where the user uses the payment service is equal to or greater than the threshold. The changing unit 106 may increase the winning probability determined by the determining unit 103 of the seventh or eighth modification when the manufacturer of the product purchased by the user or the total usage amount for the product is equal to or greater than a threshold.

Note that the winning probability is fixed for all users, and the changing unit 106 may change the privilege for each user determined by the determining unit 103 based on the user's usage information. For example, the changing unit 106 changes the benefits determined according to the embodiment or modified examples 1 to 8, based on the user's usage status at the store visited by the user. In addition, both the winning probability and the privilege are not fixed, and the changing unit 106 may change the winning probability and the privilege of the user determined by the determining unit 103 based on the user's usage information. For example, the changing unit 106 changes the winning probabilities and benefits determined according to the embodiment or modified examples 1 to 8, based on the user's usage at the store visited by the user.

The privilege granting unit 105 executes lottery processing and grants a privilege to each user based on at least one of the winning probability and the privilege of the user changed by the changing unit 106 . This embodiment differs from the embodiment and Modifications 1 to 9 in that at least one of the winning probability and the benefit changed by the change unit 106 is used, and the other points are the same.

According to Modification 9, at least one of the winning probability and the privilege of the user is changed for each user based on the usage information of the user. Accordingly, at least one of the winning probability and the privilege determined in relation to other users can be changed based on the user-specific usage status information, thereby promoting the use of the settlement service by the user. It should be noted that in Modification 9, unlike the embodiment, relative usage situations may not be taken into consideration. For example, the privilege granting system S of Modification 9 may omit the determining unit 103, and the changing unit 106 may change at least one of the winning probability and the privilege for each user based on the user's usage information.

[5-10. Other Modifications]
For example, the modified examples described above may be combined.

For example, stores that can be used for payment services are not limited to physical stores, and may be online stores. In this case, when the user uses the online store, the privilege granting system S may determine at least one of the winning probability and the privilege based on the user's ranking, and execute the lottery. For example, the privilege granting system S can be applied to campaigns in arbitrary services other than payment services. For example, at least one of the winning probability and the benefit of the user may be determined based on the relative relationship of usage in e-commerce services, financial services, communication services, travel reservation services, insurance services, or SNS.

For example, although a case has been described where the main functions are implemented by the server 10, each function may be shared by a plurality of computers. For example, functions described as being implemented by the server 10 may be implemented by the user terminal 20, the store terminal 30, or another computer. Data described as being stored on server 10 may also be stored on other computers, such as database servers.

S privilege giving system N network 10 server 11, 21, 31 control unit 12, 22, 32 storage unit 13, 23, 33 communication unit 20 user terminal 24, 34 operation unit 25, 35 display unit 30 store terminal 36 reading device G1 home screen, G2 entry reception screen, G3 entry completion screen, G4 payment completion screen, 100 data storage unit, 101 Payment processing execution unit 102 Usage status acquisition unit 103 Determination unit 104 Notification unit 105 Privilege provision unit 106 Change unit 200 Data storage unit 201 Display control unit 300 Data storage unit 301 Payment request transmission unit C10 code DB1 User database DB2 Campaign database.

Claims (14)

a usage information acquisition means for acquiring usage information regarding the usage of a service by each of a plurality of users;
determining means for determining at least one of a winning probability and a privilege for each user based on the relative relationship between the usage status indicated by the usage status information of the user and the usage status indicated by the usage status information of another user;
privilege granting means for executing a lottery process and granting a privilege to each user based on at least one of the winning probability and the privilege of the user;
including
During a campaign period in which a predetermined lottery process is executed when the user uses the service, and benefits are given to the user who wins the lottery,
each time the user uses the service, the usage information is updated;
each time the user uses the service, the determining means determines at least one of a winning probability and a benefit for the user based on a relative relationship between the usage status of the user indicated by the updated usage status information and the usage status of other users;
The privilege granting means executes the lottery process and grants the privilege each time the user uses the service, based on at least one of the winning probability and the privilege.
award system. the service is available at multiple stores;
The determination means determines at least one of the winning probability and the privilege of the store for the user based on the relative relationship between the usage status of the user at the store and the usage status of other users at the store for each combination of the user and the store;
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability and the privilege of the user at the store where the user uses the service.
The privilege provision system according to claim 1. The plurality of stores belong to a predetermined store group,
The determining means determines, for each user, at least one of the winning probability and the privilege of the user at a first store belonging to the store group, and at least one of the winning probability and the privilege of the user at a second store belonging to the store group,
The privilege granting means is
when any one of the plurality of users uses the first store, the lottery process is executed based on at least one of the winning probability of the user at the first store and the privilege, and the privilege is granted;
When any one of the plurality of users uses the second store, the lottery process is performed based on at least one of the winning probability and the privilege of the user at the second store to grant the privilege.
The privilege provision system according to claim 2. The determination means determines at least one of the winning probability and the privilege of the user in the time slot based on the relative relationship between the usage status of the user in the time slot and the usage status of other users in the time slot, for each combination of the user and the time slot;
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability of the user and the privilege during the time period when the user uses the service.
The privilege giving system according to any one of claims 1 to 3. The determining means determines at least one of the winning probability and the privilege for the user in the weather based on the relative relationship between the user's usage in the weather and the usage by other users in the weather for each combination of the user and the weather;
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability of the user and the privilege in the weather when the user uses the service.
The privilege giving system according to any one of claims 1 to 4. The determining means determines at least one of a winning probability and a privilege for the user on the day of the week for each combination of the user and the day of the week, based on the relative relationship between the usage status of the user on the day of the week and the usage status of other users on the day of the week;
The privilege granting means executes the lottery process and grants the privilege for each user based on at least one of the winning probability and the privilege for the user on the day of the week when the user uses the service.
The privilege giving system according to any one of claims 1 to 5. The determining means determines at least one of a winning probability and a privilege in a lottery for each combination of the user and the area based on the relative relationship between the usage status of the user in the area and the usage status of other users in the area,
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability and the privilege of the user in the area where the user uses the service.
The privilege giving system according to any one of claims 1 to 6. The service can be used at the time of purchase of each product from a plurality of manufacturers,
The determining means determines at least one of a winning probability and a privilege for the user at the maker for each combination of the user and the maker, based on the relative relationship between the usage status of the user at the maker and the usage status of other users at the maker,
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability of the user and the privilege from the manufacturer of the product purchased by the user using the service.
The privilege giving system according to any one of claims 1 to 7. The determining means determines at least one of the winning probability and the privilege based on the relative relationship between the user's use of the product and the use of the product by other users for each combination of the user and the product,
The privilege granting means executes the lottery process and grants the privilege to each user based on at least one of the winning probability and the privilege for the product purchased by the user using the service.
The privilege giving system according to any one of claims 1 to 8. The privilege granting system further includes changing means for changing at least one of the winning probability and the privilege for each user based on the usage information of the user,
The privilege granting means executes the lottery process and grants the privilege for each user based on at least one of the winning probability of the user and the privilege changed by the changing means.
The privilege giving system according to any one of claims 1 to 9. The privilege granting system further includes notification means for notifying each of the plurality of users of at least one of the winning probability and the privilege of the user,
The privilege granting means executes the lottery process and grants the privilege after the notification is made by the notification means.
The privilege giving system according to any one of claims 1 to 10. The relative relationship is a ranking regarding the usage status of the service,
The determining means determines, for each user, at least one of a winning probability and a privilege for the user based on the ranking of the user.
The privilege giving system according to any one of claims 1 to 11. a usage information acquiring step in which the usage information acquiring means acquires usage information relating to the usage of the service by each of the plurality of users;
a determining step of determining at least one of a winning probability and a benefit for each user, based on the relative relationship between the usage status indicated by the usage status information of the user and the usage status indicated by the usage status information of another user;
a privilege granting step in which privilege granting means grants a privilege to each user by executing a lottery process based on at least one of the winning probability and the privilege of the user;
including
During a campaign period in which a predetermined lottery process is executed when the user uses the service, and benefits are given to the user who wins the lottery,
each time the user uses the service, the usage information is updated;
In the determining step, each time the user uses the service, at least one of a winning probability and a benefit of the user is determined based on the relative relationship between the usage status of the user indicated by the updated usage status information and the usage status of other users;
In the privilege giving step, each time the user uses the service, the lottery process is executed and the privilege is granted based on at least one of the winning probability and the privilege.
method of awarding benefits. Usage status information acquisition means for acquiring usage status information about service usage status by each of a plurality of users;
Determining means for determining at least one of a winning probability and a benefit for each user based on the relative relationship between the usage status indicated by the usage status information of the user and the usage status indicated by the usage status information of another user;
benefit granting means for executing a lottery process and granting a benefit to each user based on at least one of the winning probability and the benefit of the user;
make the computer function as
During a campaign period in which a predetermined lottery process is executed when the user uses the service, and benefits are given to the user who wins the lottery,
each time the user uses the service, the usage information is updated;
each time the user uses the service, the determining means determines at least one of a winning probability and a benefit for the user based on a relative relationship between the usage status of the user indicated by the updated usage status information and the usage status of other users;
The privilege granting means executes the lottery process and grants the privilege each time the user uses the service, based on at least one of the winning probability and the privilege.
program.

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