Analysis device
The analysis device analyzes user payment history to evaluate the impact of lottery prizes on mobile payment trends, addressing the challenge of assessing campaign effectiveness by quantifying changes in payment behavior.
Patent Information
- Application Number
- JP2023091630
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-06-02
- Publication Date
- 2024-12-12
Smart Images
Figure 2024173301000001_ABST
Abstract
Description
[Technical field]
[0001] The present disclosure relates to an analytical device. [Background technology]
[0002] Non-Patent Document 1 discloses a randomized controlled trial that verifies the effectiveness of prevention or treatment by comparing a group of subjects who receive an intervention using a preventive or therapeutic method whose effectiveness or usefulness is to be confirmed (intervention group) with a group of subjects who are compared with the intervention group (for example, a group of subjects who do not receive the intervention: control group). [Prior art documents] [Non-patent literature]
[0003] [Non-Patent Document 1] "What is a randomized controlled trial? An easy-to-understand explanation of its characteristics and subject allocation methods," OG Technology Co., Ltd., [Retrieved March 22, 2023], Internet,<URL:https: / / ogw-media.com / medic / cat_clinic / 3569> Summary of the Invention [Problem to be solved by the invention]
[0004] One example of a measure to expand the use of mobile payments is to hold a campaign in which a lottery is held for each payment, with the possibility of winning one of multiple prizes with different incentives. In this type of campaign, multiple payments may be made during the campaign period. In a campaign in which multiple payments are made during the campaign period, there are as many opportunities for a lottery (i.e., opportunities for intervention) as there are payments, so it has been difficult to determine the effect of intervention using the technology disclosed in Non-Patent Document 1. For this reason, the impact of winning each prize on changes in payment trends (for example, an increase or decrease in the number of payments and an increase or decrease in the amount of one payment) (i.e., the detailed effect of the campaign on changes in payment trends) has not been necessarily clear. [Means for solving the problem]
[0005] An analysis device according to a preferred embodiment of the present disclosure includes an acquisition unit, a classification unit, and a first calculation unit. The acquisition unit acquires first history data indicating a history of payments made by each of a plurality of users who have participated in a campaign in which a lottery is drawn for each payment and have made one or more payments, the plurality of users including a user who has won once and a user who has not won once, during a first period during which the campaign is being held, and second history data indicating a history of payments made by each of the plurality of users during at least one of a second period before the campaign is being held and a third period after the campaign is being held. The classification unit groups the plurality of users into a group including users who have won the lottery and a group including users who have not won once, and further groups the group of users who have won the lottery according to the number of payments required to win. The first calculation unit calculates the amount of change in payment trends resulting from winning the lottery once by comparing, based on the first history data and the second history data, the payment history of a user belonging to a group that won the jth payment (j is an integer greater than or equal to 1) with the payment history of a user belonging to a group that never won. Effect of the Invention
[0006] According to the present disclosure, the effect of one winning entry in a campaign in which a lottery is generated for each payment in order to increase the use of payment services becomes clear. [Brief description of the drawings]
[0007] [Figure 1] 1 is a diagram illustrating an example of the configuration of an analysis device 10 according to an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a diagram for explaining a campaign to be analyzed in the present embodiment. [Diagram 3] FIG. 13 is a diagram for explaining a process executed by a classification unit 130b. [Figure 4]13 is a flowchart showing a process flow in an analysis method executed by the processing device 130 according to a program PR1. [Diagram 5] 4 is a diagram showing an example of a calculation result by the analysis device 10. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0008] (A: Embodiment) 1 is a diagram illustrating an example of the configuration of an analysis device 10 according to an embodiment of the present disclosure. The analysis device 10 is a device for analyzing the effectiveness of a campaign held as a measure to expand the use of mobile payments.
[0009] FIG. 2 is a diagram for explaining the campaign. During a period T1 during which the campaign is being held, a user can enter a lottery to win a first, second, or third prize, each time the user makes a mobile payment of a predetermined amount or more, such as 500 yen. The incentive for winning first prize is a cashback of 50% of the payment amount. The incentive for winning second prize is a cashback of 25% of the payment amount. The incentive for winning third prize is a cashback of 0.2% of the payment amount. If the user does not win any of the first, second, or third prizes, no cashback will be given.
[0010] In this embodiment, the probability of winning any of the first, second and third prizes is 20%. In this embodiment, the users participating in the campaign are informed in advance that the probability of winning any of the first, second and third prizes is 20%, but the users are not informed of the winning probability for each prize. In this embodiment, the users participating in the campaign are not informed of the winning probability for each of the first, second and third prizes, but the winning probability for each prize may be informed to the users. In this embodiment, winning any of the first, second or third prizes is referred to as "winning the lottery". Furthermore, not winning any of the first, second or third prizes is referred to as "losing the lottery" or simply "losing". Furthermore, not winning even once despite having been drawn in the lottery once or more during the campaign period is referred to as "not winning". In the above campaign, if multiple payments are made during the period, there are opportunities for intervention as many times as the number of payments made, so it was difficult to determine the effect of intervention using the technology disclosed in Non-Patent Document 1. The analysis device 10 is a device that enables analysis of the effect of increased usage resulting from winning either a first prize, a second prize, or a third prize once, in a situation where there are multiple opportunities for intervention during the event period.
[0011] As shown in Fig. 1, the analysis device 10 includes a communication device 110, a storage device 120, a processing device 130, and a bus 140. The communication device 110 and the storage device 120 are connected to the processing device 130 via a bus 140 that mediates data transmission and reception. The bus 140 may be configured using a single bus, or may be configured using different buses between each element. Although not shown in detail in Fig. 1, the analysis device 10 includes an input device that accepts input operations by an operator who manages the operation of the analysis device 10, and a display device that displays various information.
[0012] The communication device 110 is hardware (transmission / reception device) for communicating with other devices. Other devices that communicate with the analysis device 10 are connected to the communication device 110 via wired or wireless connection. An example of the other devices that communicate with the communication device 110 is a payment management server. The payment management server stores history data representing the history of payments made by users who use mobile payment. The history data is a list of date and time data indicating the date and time of the payment and payment amount data indicating the payment amount, associated with a user identifier indicating the user who made the payment. Another example of the other devices that communicate with the communication device 110 is a terminal device used by an analyst who analyzes the effectiveness of a campaign aimed at expanding the use of mobile payment.
[0013] The storage device 120 is a recording medium readable by the processing device 130. The storage device 120 may be configured with at least one of, for example, a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a random access memory (RAM), etc. A program PR1 is pre-stored in the storage device 120.
[0014] The processing device 130 includes one or more central processing units (CPUs). The processing device 130 reads the program PR1 from the storage device 120 when an instruction to execute the program PR1 is received from a terminal device used by an analyst. The processing device 130 executes the read program PR1. The processing device 130 executes the program PR1, thereby functioning as an acquisition unit 130a, a classification unit 130b, a generation unit 130c, a first calculation unit 130d, a second calculation unit 130e, and a third calculation unit 130f shown in FIG. 1. In other words, the acquisition unit 130a, the classification unit 130b, the generation unit 130c, the first calculation unit 130d, the second calculation unit 130e, and the third calculation unit 130f shown in FIG. 1 are software modules realized by operating a computer such as a CPU according to software such as a program. The functions of the acquisition unit 130a, the classification unit 130b, the generation unit 130c, the first calculation unit 130d, the second calculation unit 130e, and the third calculation unit 130f are as follows.
[0015] The acquisition unit 130a acquires from the payment management server history data indicating the history of payments in a period T1 for each of a plurality of users who participated in the campaign shown in FIG. 3 and made a payment at least once. In this embodiment, the plurality of users from whom the acquisition unit 130a acquires history data are classified into users who have won one prize, such as the first prize, the second prize, or the third prize, and users who have not won any prize (i.e., non-winners). In other words, the plurality of users includes users who have won one prize and non-winners. The acquisition unit 130a also acquires from the payment management server history data indicating the history of payments for each of the plurality of users in a period T2 (see FIG. 3) after the end of the campaign. In this embodiment, the length of the period T1 is 4 weeks, and the length of the period T2 is 12 weeks. The period T1 is an example of the first period in the present disclosure. The period T2 is an example of the third period in the present disclosure. The history data indicating the history of payments in the period T1 is an example of the first history data in the present disclosure. The history data showing the payment history in the period T2 is an example of the second history data in the present disclosure. The second history data in this embodiment is data showing the payment history in the period T2 (third period) of each of the multiple users. However, the second history data may be data showing the payment history in the second period before the campaign is held for each of the multiple users, or may be data showing the payment history of each of the multiple users in the second period and the third period.
[0016] The classification unit 130b divides the above-mentioned multiple users into a group of users who won the lottery and a group of users who did not win even once. In addition, the classification unit 130b further divides the group of users who won the lottery into groups according to the number of payments required to win.
[0017] FIG. 3 is a diagram for explaining the process executed by the classification unit 130b. For example, if there is no user who wins after the J+1th drawing (J is an integer of 2 or more), the classification unit 130b generates an intervention group and a control group for J hierarchies from the first hierarchies to the Jth hierarchies for the above-mentioned multiple users, as shown in FIG. 3. In more detail, the classification unit 130b first extracts a group G(1) of users who won either the first prize, the second prize, or the third prize in the first drawing, and a group GA(1) of users who lost the first drawing and who do not win the second or subsequent drawing, from the above-mentioned multiple users. The intervention group in the first hierarchies is the group G(1), and the control group in the first hierarchies is the group GA(1).
[0018] Next, the classification unit 130b extracts a group G(2) of users who won the first, second, or third prize in the second lottery from among a plurality of users who have been drawn at least once during the period T1 (excluding the winners of the first lottery), and a group GA(2) of users who lost the second lottery and excludes the winners of the third or subsequent lotteries. The group G(2) is the intervention group in the second stratum, and the group GA(2) is the control group in the second stratum. Thereafter, the classification unit 130b repeats the above grouping up to the Jth stratum. By repeating the above grouping up to the Jth stratum, a group G(j) which is the intervention group in the jth stratum and a group GA(j) which is the control group in the jth stratum are generated (j is an integer between 1 and J). In addition, hereinafter, the union of the set of users belonging to the group G(j) and the set of users belonging to the group GA(j) is referred to as the "users of the jth stratum." Users in the jth hierarchical level are a set of multiple users who entered the lottery at least once during period T1, excluding winners up to the j-1th lottery. Group G(j) is a group of users in the jth hierarchical level who won either 1st, 2nd, or 3rd prize in the jth lottery. Group GA(j) is a group of users in the jth hierarchical level who did not win in the jth lottery, excluding winners in the j+1th lottery or later.
[0019] The generating unit 130c generates M groups by applying the bootstrap method to each of the groups G(1) to G(J). Note that M is an integer of 2 or more, and is 1000 in this embodiment. Each of the M groups includes one group of users who won the first payment, one group of users who won the second payment, and one group of users who won the Jth payment. For generating groups by the bootstrap method, an existing technology is appropriately adopted. Hereinafter, in the mth group (m is an integer of 1 or more and M or less), the group of users who won the jth payment is represented as group G(m, j). Similarly, the generating unit 130c generates M groups by applying the bootstrap method to each of the groups GA(1) to GA(J). Hereinafter, in the mth group, the control group for group G(m, j) is represented as group GA(m, j).
[0020] The first calculation unit 130d and the second calculation unit 130e perform the following process for each m, where m=1 to M, that is, for each group. The first calculation unit 130d calculates the amount of change in payment trend resulting from winning the jth lottery (the total number of payments, the total payment amount, or the difference in the payment amount per time from the case of not winning) based on the history data of users belonging to group G(m,j) and the history data of users belonging to group GA(m,j) for each j, where j=1 to J. In this embodiment, the first calculation unit 130d calculates the amount of change in payment trend resulting from winning for each prize.
[0021] For example, the first calculation unit 130d calculates the amount of change in payment trend resulting from winning first prize in the j-th lottery by the calculation shown in Equation 1 below.
number
[0022] The second calculation unit 130e calculates the amount of change in payment trend caused by winning the lottery, regardless of how many times the lottery was won, by averaging the amount of change calculated by the first calculation unit 130d for each number of payments required to win, with a weight corresponding to the number of users in the tier corresponding to the number of payments required to win. In this embodiment, the second calculation unit 130e calculates the amount of change in payment trend caused by winning each prize of 1st prize, 2nd prize, and 3rd prize by performing the calculation shown in the following formula 2 using the value τ(j) calculated by the first calculation unit 130d for each of Prize=1, 2, and 3. Note that N(j) in formula 2 is the number of users in the jth tier (the sum of the number of users in group G(m,j) and the number of users in group GA(m,j)), and N in formula 2 is the sum of the number of users in each tier from the 1st tier to the Jth tier (the sum of N(j) from j=1 to J).
number
[0023] The third calculation unit 130f calculates statistics (average value and standard deviation of the amount of change) of the amount of change in the payment trend caused by winning any of the first, second, and third prizes based on the amount of change in the payment trend calculated by the second calculation unit 130e for each of the M groups for the first, second, and third prizes. The third calculation unit 130f also calculates a confidence interval (lower and upper limits of the confidence interval) of the amount of change in the payment trend caused by winning any of the first, second, and third prizes based on the statistics. The calculation method of the upper and lower limits of the confidence interval is appropriately adopted from existing technologies. The average value, the upper and lower limits of the confidence interval calculated by the third calculation unit 130f may be displayed on a display device for each prize, or may be transmitted to a terminal device via the communication device 110.
[0024] The processing device 130 operating according to the program PR1 executes an analysis method specific to the present disclosure. Fig. 4 is a flowchart showing the flow of processing in the analysis method of the present disclosure. As shown in Fig. 4, the analysis method of the present disclosure includes an acquisition process SA110, a classification process SA120, a generation process SA130, a first calculation process SA140, a second calculation process SA150, and a third calculation process SA160. The processing contents of each process shown in Fig. 4 are as follows.
[0025] In the acquisition process SA110, the processing device 130 functions as an acquisition unit 130a. In the acquisition process SA110, the processing device 130 acquires history data indicating the history of payments during a period T1 for each of a plurality of users who have participated in a campaign in which a lottery is drawn for each payment and made one or more payments. In addition, in the acquisition process SA110, the processing device 130 acquires history data indicating the history of payments for each of the plurality of users during a period T2.
[0026] In the classification process SA120, the processing device 130 functions as a classification unit 130b. In the classification process SA120, the processing device 130 divides a plurality of users into a group including users who have won the lottery and a group including users who have never won. In the classification process SA120, the processing device 130 further divides the group of users who have won the lottery into groups according to the number of payments required to win. In the classification process in this embodiment, the above-mentioned groups G(1) to G(J) and groups GA(1) to GA(J) are generated.
[0027] In the generation process SA130, the processing device 130 functions as a generating unit 130c. In the generation process SA130, the processing device 130 applies the bootstrap method to each of the groups G(1) to G(J) to generate M groups, thereby generating a set of M groups. In the generation process SA130, the processing device 130 also applies the bootstrap method to each of the groups GA(1) to GA(J) to generate M groups, thereby generating a set of M groups.
[0028] The first calculation process SA140 and the second calculation process SA150 are processes executed for a variable m (m is an integer between 1 and M) indicating each of the M groups. In the first calculation process SA140, the processing device 130 functions as a first calculation unit 130d. In the first calculation process SA140, the processing device 130 calculates, for each prize (1st prize, 2nd prize, 3rd prize, etc.) j=1 to J, the amount of change in payment trend resulting from winning the jth lottery based on the payment history in group G(m,j) and the payment history in group GA(m,j).
[0029] In the second calculation process SA150, the processing device 130 functions as a second calculation unit 130e. In the second calculation process SA150, the processing device 130 calculates the amount of change in payment trends caused by winning the lottery for each prize by averaging the amount of change calculated in the first calculation process SA140 for each number of payments required to win with a weight corresponding to the number of users in the tier corresponding to the number of payments required to win.
[0030] In the third calculation process SA160, the processing device 130 functions as a third calculation unit 130f. In the third calculation process SA160, the processing device 130 calculates statistics of the amount of change in payment trend caused by winning any of the first, second, and third prizes based on the amount of change in payment trend calculated by the second calculation unit 130e for each of the M groups.
[0031] FIG. 5 is a diagram showing an example of the calculation results of the analysis device 10 for the total payment amount, the total number of payments, and the payment amount per transaction during the period T1 for all users who have been drawn in the lottery at least once during the period T1. As shown in FIG. 5, when a user wins any of the first, second, and third prizes, the total payment amount and the total number of payments are increased compared to when the user does not win. Hereinafter, the effect of increasing the index representing the payment trend (the total payment amount, the total number of payments, or the payment amount per transaction) is referred to as a positive effect. As a positive effect is observed for the total payment amount and the total number of payments for the first, second, and third prizes, it is considered that winning any of the first, second, and third prizes has the effect of increasing the willingness to participate in the lottery after winning.
[0032] As described above, according to the analysis device 10 of this embodiment, in a campaign to expand the use of mobile payments, in which a lottery is held for each payment in which one of multiple prizes with different incentive levels can be won, the effect of expanding the use of one winning prize will be clear for each prize, regardless of how many lottery draws the winner has won.
[0033] (B: Transformation) The present disclosure is not limited to the above-described exemplary embodiments. Specific modified aspects are as follows. Two or more aspects selected from the following examples may be combined. (B-1: Variation 1) In the above embodiment, the program PR1 is stored in the storage device 120 of the analysis device 10, but the program PR1 may be manufactured or sold separately. When selling the program PR1, the program PR1 may be provided to a purchaser by writing the program PR1 to a computer-readable recording medium such as a flash ROM and distributing it, or by downloading it via a telecommunications line.
[0034] (B-2: Variation 2) In the above embodiment, the acquiring unit 130a, the classifying unit 130b, the generating unit 130c, the first calculating unit 130d, the second calculating unit 130e, and the third calculating unit 130f are all software modules. However, any one, any two, any three, any four, any five, or all of the acquiring unit 130a, the classifying unit 130b, the generating unit 130c, the first calculating unit 130d, the second calculating unit 130e, and the third calculating unit 130f may be hardware modules. Specific examples of hardware modules include DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), PLD (Programmable Logic Device), FPGA (Field Programmable Gate Array), etc. Even if any one, any two, any three, any four, any five, or all of the acquisition unit 130a, the classification unit 130b, the generation unit 130c, the first calculation unit 130d, the second calculation unit 130e, and the third calculation unit 130f are hardware modules, the same effects as those of the above embodiment can be achieved.
[0035] (B-3: Variation 3) The generating unit 130c and the third calculating unit 130f are not necessarily required and can be omitted. For example, if a sufficient number of historical data can be acquired to calculate the statistics, the generating unit 130c is not necessary. If the calculation of the confidence interval is not necessary, the third calculating unit 130f is not necessary. If it is sufficient to analyze the effect caused by winning any of the first, second, and third prizes in the jth lottery, the second calculating unit 130e is not necessary. The lottery in the above campaign may be a lottery that assigns either a "winner" that grants a predetermined incentive or a "loser" that does not grant the incentive. The campaign in the above embodiment was a campaign for expanding the use of mobile payment, but the campaign to be analyzed in the present disclosure may be a campaign in which a lottery is held every time a payment is made to determine whether or not to grant some kind of incentive.
[0036] (C:Other) (1) In the above-described embodiment, ROM, RAM, etc. are given as examples of storage device 120, but storage device 120 may also be a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray (registered trademark) disc), a smart card, a flash memory device (e.g., a card, a stick, a key drive), a CD-ROM (Compact Disc-ROM), a register, a removable disk, a hard disk, a floppy (registered trademark) disk, a magnetic strip, a database, a server, or any other suitable storage medium.
[0037] (2) In the above-described embodiments, the described information, signals, etc. may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.
[0038] (3) In the above-described embodiment, the input / output information, etc. may be stored in a specific location (e.g., memory) or may be managed using a management table. The input / output information, etc. may be overwritten, updated, or added. The output information, etc. may be deleted. The input information, etc. may be transmitted to another device.
[0039] (4) In the above-described embodiments, the determination may be made based on a value represented by 1 bit (0 or 1), a Boolean (true or false) value, or a numerical comparison (e.g., comparison with a predetermined value).
[0040] (5) The order of the process steps, sequences, flow charts, etc. illustrated in the above-described embodiments may be changed without causing any inconsistency. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.
[0041] (6) Each function illustrated in FIG. 1 is realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized by using one device that is physically or logically combined, or may be realized by using two or more devices that are physically or logically separated and directly or indirectly connected (for example, by using wires, wirelessly, etc.). The functional block may be realized by combining the one device or the multiple devices with software.
[0042] (7) The programs exemplified in the above-described embodiments should be broadly interpreted to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc., regardless of whether they are called software, firmware, middleware, microcode, hardware description language, or by other names.
[0043] Additionally, software, instructions, information, etc. may be transmitted or received over a transmission medium. For example, if the software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave, etc.), then these wired and / or wireless technologies are included within the definition of transmission media.
[0044] (8) In each of the above embodiments, the terms “system” and “network” are used interchangeably.
[0045] (9) The information, parameters, etc. described in this disclosure may be expressed using absolute values, relative values from a predetermined value, or corresponding other information.
[0046] (10) In the above-described embodiments, the portable device may be a mobile station (MS). A mobile station may also be referred to by those skilled in the art as a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable terminology. In this disclosure, the terms "mobile station", "user terminal", "user equipment (UE)", "terminal", etc. may be used interchangeably.
[0047] (11) In the above-mentioned embodiments, the terms "connected" and "coupled" or any variation thereof refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "accessed." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using at least one of one or more wires, cables, and printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and light (both visible and invisible) range, as some non-limiting and non-exhaustive examples.
[0048] (12) In the above embodiments, the phrase "based on" does not mean "based only on," unless otherwise specified. In other words, the phrase "based on" means both "based only on" and "based at least on."
[0049] (13) As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, search, inquiry (e.g., searching in a table, database, or other data structure), ascertaining, and the like. Also, "determining" and "determining" may include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in a memory), and the like. In addition, "judgment" and "decision" can include considering resolving, selecting, choosing, establishing, comparing, etc., to be a "judgment" or "decision." In other words, "judgment" and "decision" can include considering some action to be a "judgment" or "decision." In addition, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.
[0050] (14) In the above embodiments, when "include," "including," and variations thereof are used, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, the term "or" used in this disclosure is not intended to be an exclusive or.
[0051] (15) In this disclosure, where articles have been added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural.
[0052] (16) In this disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "combined" may also be interpreted in the same way as "different."
[0053] (17) Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched according to execution. In addition, notification of specific information (e.g., notification that "X is the case") is not limited to being done explicitly, but may be done implicitly (e.g., not notifying the specific information).
[0054] (D: Aspects understood from the above-mentioned forms or modifications) Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented as modified and altered forms without departing from the spirit and scope of the present disclosure as defined by the claims. Therefore, the description of the present disclosure is intended to be illustrative and does not have any limiting meaning on the present disclosure. The following aspects can be understood from at least one of the above-mentioned embodiments or modifications.
[0055] The analysis device according to a first aspect of the present disclosure includes an acquisition unit, a classification unit, and a first calculation unit. The acquisition unit acquires first history data indicating a history of payments made by each of a plurality of users who have participated in a campaign in which a lottery is drawn for each payment and have made one or more payments, the plurality of users including a user who has won once and a user who has not won once, during a first period during which the campaign is being held, and second history data indicating a history of payments made by each of the plurality of users during at least one of a second period before the campaign is being held and a third period after the campaign is being held. The classification unit groups the plurality of users into a group including users who have won the lottery and a group including users who have not won once, and further groups the group of users who have won the lottery according to the number of payments required to win. The first calculation unit calculates the amount of change in payment trends resulting from winning the lottery once by comparing the payment histories of users belonging to a group who won the jth payment (j is an integer equal to or greater than 1) with the payment histories of users belonging to a group who did not win even once, based on the first history data and the second history data. According to the analysis device of the first aspect, the amount of change in payment trends resulting from winning the jth lottery is calculated, so that the effect of expanding usage due to winning once in a campaign that generates a lottery for each payment to expand usage of a payment service, more specifically, winning the jth lottery, becomes clear.
[0056] In a second aspect of the present disclosure (an example of the first aspect), winning the lottery means winning one of a plurality of prizes having different winning probabilities and different levels of incentives to be provided. The first calculation unit in the analysis device according to the second aspect calculates, for each prize, the amount of change in payment trends resulting from winning the lottery once. According to the analysis device of the second aspect, since the amount of change in payment trends resulting from winning the jth lottery is calculated for each prize, the effect of increased usage resulting from winning the jth lottery in a campaign in which a lottery in which one of a plurality of prizes having different levels of incentives can be won is clarified for each prize.
[0057] The first calculation unit in the analysis device of the third aspect (example of the first aspect or example of the second aspect) of the present disclosure calculates the amount of change in payment trends resulting from winning for each number of payments required to win. The analysis device according to the third aspect further includes a second calculation unit. The second calculation unit calculates the amount of change in payment trends resulting from winning the lottery once by averaging the amount of change calculated by the first calculation unit for each number of payments required to win with a weight corresponding to the number of users in the group corresponding to the number of payments required to win. According to the analysis device of the third aspect, in a campaign in which a lottery is generated for each payment to expand the use of a payment service, the effect resulting from winning once becomes clear regardless of the number of lottery draws in which the winning occurred.
[0058] An analysis device of a fourth aspect (an example of the first aspect, an example of the second aspect, or an example of the third aspect) of the present disclosure includes a generation unit and a third calculation unit. The generation unit generates a plurality of groups by a bootstrap method from a group to which a user who won at the jth payment belongs. The third calculation unit calculates statistics regarding the amount of change in payment trends resulting from one win in the lottery based on the payment history in each of the plurality of groups generated by the generation unit and the payment history in a group of users who did not win even once. The analysis device of the fourth aspect makes it possible to calculate statistics regarding the amount of change in payment trends resulting from one win in a campaign that generates a lottery for each payment in order to expand the use of a payment service. [Explanation of symbols]
[0059] 10...analysis device, 110...communication device, 120...storage device, 130...processing device, 130a...acquisition unit, 130b...classification unit, 130c...generation unit, 130d...first calculation unit, 130e...second calculation unit, 130f...third calculation unit, 140...bus, PR1...program.
Claims
1. an acquisition unit that acquires first history data indicating a history of payments made by each of a plurality of users who have participated in a campaign in which a lottery is drawn for each payment and have made one or more payments, the plurality of users including users who have won once and users who have not won once, during a first period during which the campaign is being held, and second history data indicating a history of payments made by each of the plurality of users during at least one of a second period before the campaign is being held and a third period after the campaign is being held; a classification unit that divides the plurality of users into a group including users who have won the lottery and a group including users who have never won the lottery, and further divides the group of users who have won the lottery into groups according to the number of payments required to win the lottery; a first calculation unit that calculates a change in payment trend caused by winning the lottery once by comparing a payment history of a user who belongs to a group that won a jth payment (j is an integer equal to or greater than 1) with a payment history of a user who belongs to a group that did not win a jth payment based on the first history data and the second history data; An analytical device having
2. Winning the lottery means winning one of a number of prizes, each of which has a different probability of winning and a different level of incentive to be awarded; The first calculation unit calculates, for each prize, an amount of change in payment trend resulting from one winning in the lottery. The analytical device of claim 1 .
3. The first calculation unit calculates a change in payment trend due to a winning for each number of payments required until a winning is won, a second calculation unit that calculates a change in payment trend resulting from one winning of the lottery by averaging the change calculated by the first calculation unit for each number of payments required to win with a weight corresponding to the number of users in the group corresponding to the number of payments required to win, The analytical device of claim 1 .
4. A generation unit that generates a plurality of groups by a bootstrap method from a group to which a user who wins a j-th settlement belongs; and a third calculation unit that calculates statistics regarding a change in payment trend caused by winning the lottery once, based on a payment history in each of the plurality of groups generated by the generation unit and a payment history in a group of users who have never won the lottery. The analytical device of claim 1 .