WO2023234450A1

WO2023234450A1 - Coupon-related information management method and electronic device therefor

Info

Publication number: WO2023234450A1
Application number: PCT/KR2022/007984
Authority: WO
Inventors: 푸주유
Original assignee: 쿠팡 주식회사
Priority date: 2022-05-31
Filing date: 2022-06-07
Publication date: 2023-12-07
Also published as: KR20230166544A; TW202349306A

Abstract

According to the present disclosure, disclosed are a coupon-related information management method and an electronic device therefor, the coupon-related information management method comprising the steps of: distributing test coupons to a group including one or more customers; obtaining first information about characteristics of the customers and second information about the use of the test coupons by the customers; setting a plurality of subgroups within the group on the basis of the first information; obtaining, on the basis of the first information and the second information, third information about a probability of conversion to purchase according to the price of the test coupons for at least some of the subgroups; identifying, on the basis of the third information, fourth information about coupons to be distributed and characteristics of target customers of the coupons; and distributing the coupons to the target customers on the basis of the fourth information.

Description

Coupon-related information management method and electronic device for the same

This disclosure relates to a coupon-related information management method for efficiently distributing coupons based on customer data and an electronic device for the same.

As the use of the Internet becomes more widespread, Internet-based services are being provided in various fields. In particular, e-commerce, where buyers and sellers can access online shopping malls through terminals and trade products in real time, is becoming more active.

Internet-based services for e-commerce use various marketing strategies to increase profits. Among them, coupon marketing is very simple, but it is widely used as a marketing technique that can effectively lead to various results, such as strengthening customer loyalty, creating new customers, increasing awareness, and helping to gain an advantage over competitors. . However, if coupons are distributed indiscriminately to customers, sales may increase but net profit may decrease, so it is necessary to carefully decide on the distribution method.

The present disclosure is proposed to solve the above-described problems, and its purpose is to provide a method of managing coupon-related information that efficiently distributes coupons based on customer data and an electronic device for the same.

The technical problems to be achieved by the present disclosure are not limited to the technical problems described above, and other technical problems can be inferred from the following embodiments.

A coupon-related information management method according to an embodiment disclosed includes distributing a test coupon to a group including at least one customer, first information about the customer's characteristics, and first information about the customer's use of the test coupon. 2. Obtaining information, based on the first information, setting a plurality of subgroups within the group, based on the first information and the second information, for at least some of the subgroups Obtaining third information about the purchase conversion probability according to the price of the test coupon, based on the third information, confirming fourth information about the coupon to be distributed and the characteristics of the target customer of the coupon, and It may include distributing the coupon to the target customer based on the fourth information.

The first information may include at least one of the following: elapsed time from the most recent order, order frequency, total purchase amount, order amount per time, and number of previous coupon uses.

Setting the subgroups within the group includes dividing at least one piece of information among the first information into two or more sections based on at least one numerical value, and corresponding the customer of the group to each of the sections. It may include the step of asking.

The at least one numerical value may be determined so that the intervals between the sections are constant.

The at least one numerical value may be determined so that the number of customers corresponding to each of the sections is constant.

The step of confirming the fourth information includes entering conditions regarding at least one of an available coupon budget, a sales target amount, and an ROI target value, and within the conditions, a correspondence between the characteristics of the target customer and the price of the coupon. It may include determining at least one of a relationship, a price of the coupon, a type of product to which the coupon applies, and an expiration date of the coupon.

The step of obtaining the third information includes obtaining the coupon sensitivity of each of the subgroups, and the step of obtaining the coupon sensitivity includes the step of obtaining the coupon sensitivity for the price of the test coupon using a linear regression analysis method. It includes expressing the purchase conversion probability as a linear function, and calculating a slope of the linear function, and the correspondence relationship may be determined such that the coupon sensitivity and the price of the coupon are proportional.

The correspondence relationship may be determined so that the total price of the coupon is minimized while satisfying the conditions regarding the sales target amount.

The correspondence relationship may be determined to maximize sales while satisfying the conditions regarding the coupon budget.

The correspondence relationship may be determined to maximize the number of orders while satisfying the conditions regarding the coupon budget.

The correspondence relationship may be determined such that the ROI value (i.e., total sales amount/price of the coupon) is maximized while satisfying at least one of the conditions regarding the sales target amount and the condition regarding the coupon budget.

The correspondence relationship may be determined so that the total price of the coupon is minimum or the sales amount is maximum while satisfying the conditions regarding the ROI target value.

The test coupons at different prices may be randomly distributed to the customers in the group.

It may further include modifying the fourth information based on information about products sold in real time.

After distributing the coupon to the target customer, it further includes obtaining fifth information about the target customer's use of the coupon, and updating the third information based on the fifth information. can do.

An electronic device for a coupon-related information management method according to an embodiment disclosed includes a memory storing at least one command, and based on the at least one command, distributing a test coupon to a group including at least one customer; , Obtaining first information about the customer's characteristics and second information about the customer's use of the test coupon, setting a plurality of subgroups within the group based on the first information, and using the first information And based on the second information, obtain third information about the purchase conversion probability according to the price of the test coupon for at least some of the subgroups, and obtain a coupon to be distributed based on the third information and the coupon to be distributed. It may include a processor that verifies fourth information about the characteristics of the target customer and distributes the coupon to the target customer based on the fourth information.

Specific details of other embodiments are included in the detailed description and drawings.

According to the present disclosure, coupons can be efficiently distributed based on customer data, and profits can be maximized while satisfying conditions related to budget and goals by optimizing the coupon distribution method.

The effect of the invention is not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a schematic block diagram showing internal components of an electronic device according to embodiments of the present disclosure.

2 and 3 are flowcharts for explaining a method of managing coupon-related information according to embodiments of the present disclosure.

4 to 6 are graphs or tables for explaining the steps of setting a plurality of subgroups within a group according to an embodiment of the present disclosure.

Figure 7 is a graph showing the purchase conversion probability according to the price of a test coupon obtained for one of the subgroups according to an embodiment of the present disclosure.

FIG. 8 is an example diagram illustrating the step of setting a plurality of subgroups within a group according to an embodiment of the present disclosure.

The terms used in the embodiments are general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but this may vary depending on the intention or precedent of a person working in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the relevant description. Therefore, the terms used in this disclosure should be defined based on the meaning of the term and the overall content of this disclosure, rather than simply the name of the term.

When a part in the entire specification is said to “include” a certain element, this means that it does not exclude other elements but may further include other elements, unless specifically stated to the contrary. In addition, terms such as “...unit” and “...module” used in the specification refer to a unit that processes at least one function or operation, which is implemented as hardware or software, or as a combination of hardware and software. It can be.

The expression “at least one of a, b, and c” used throughout the specification means ‘a alone’, ‘b alone’, ‘c alone’, ‘a and b’, ‘a and c’, ‘b and c’. ', or 'all a, b, c'.

The “terminal” mentioned below may be implemented as a computer or portable terminal that can connect to a server or other terminal through a network. Here, the computer includes, for example, a laptop, desktop, laptop, etc. equipped with a web browser, and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , all types of communication-based terminals such as IMT (International Mobile Telecommunication), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access), and LTE (Long Term Evolution), smartphones, tablet PCs, etc. It may include a handheld-based wireless communication device.

Below, with reference to the attached drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily practice them. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

In describing the embodiments, description of technical content that is well known in the technical field to which this disclosure belongs and that is not directly related to this disclosure will be omitted. This is to convey the gist of the present disclosure more clearly without obscuring it by omitting unnecessary explanation.

For the same reason, some components are exaggerated, omitted, or schematically shown in the accompanying drawings. Additionally, the size of each component does not entirely reflect its actual size. In each drawing, identical or corresponding components are assigned the same reference numbers.

The advantages and features of the present disclosure and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present disclosure is not limited to the following embodiments and may be implemented in various different forms. These embodiments are merely provided to ensure that the present disclosure is complete and to those skilled in the art to which the present disclosure pertains. It is provided to completely inform the scope of, and the present disclosure is defined only by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

At this time, it will be understood that each block of the processing flow diagrams and combinations of the flow diagram diagrams can be performed by computer program instructions. These computer program instructions can be mounted on a processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, so that the instructions performed through the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates the means to perform functions. These computer program instructions may also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular manner, so that the computer-usable or computer-readable memory It is also possible to produce manufactured items containing instruction means to perform the functions described in the flowchart block(s). Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to generate a process that is executed by the computer and then processed by the computer or other programmable data processing equipment. Instructions for performing processing equipment may also provide steps for executing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code containing one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative execution examples it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible for two blocks shown in succession to be performed substantially at the same time, or it is possible for the blocks to be performed in reverse order depending on the corresponding function.

Referring to FIG. 1 , the electronic device 100 may include a processor 110, a transceiver 120, and a memory 130. For example, the electronic device 100 may be a server that operates an Internet-based service for e-commerce. The electronic device 100 can exchange data with a user terminal and other external devices through the transceiver 120.

The electronic device 100 may be connected to a user terminal and other external devices through a network. The network may be, for example, a Local Area Network (LAN), a Wide Area Network (WAN), a Value Added Network (VAN), a mobile radio communication network, a satellite communication network, or these. A combination of can be used. In other words, a network is a comprehensive data communication network that allows constituents to communicate smoothly with each other, and can use wired Internet, wireless Internet, or mobile wireless communication networks. Wireless communication networks include, for example, wireless LAN (Wi-Fi), Bluetooth, Bluetooth low energy, ZigBee, WFD (Wi-Fi Direct), UWB (ultra wideband), and infrared communication (IrDA, infrared data). Association), NFC (Near Field Communication), etc.

The processor 110 may perform at least one method described with reference to FIGS. 2 to 7 based on instructions stored in the memory 130. The memory 130 may store at least one instruction for performing at least one method described with reference to FIGS. 2 to 7 . Memory 130 may be volatile memory or non-volatile memory.

The processor 110 can control the electronic device 100 to execute programs and provide information. The code of the program executed by the processor 110 may be stored in the memory 130.

Additionally, according to one embodiment, the electronic device 100 may further include an interface that provides information to the user.

According to the present disclosure, the processor 110 in the electronic device 100 can distribute coupons to customers, obtain information, set subgroups, and check information according to instructions stored in the memory 130. Customers can use coupons using the user terminal. Information obtained in the process of managing coupon-related information according to the present disclosure may be stored in the memory 130 through the transceiver 120.

2 and 3 are flowcharts for explaining a method of managing coupon-related information according to embodiments of the present disclosure. More specifically, FIG. 3 illustrates the step of confirming information about the coupon to be distributed and the characteristics of the target customer of the coupon among the coupon-related information management methods according to embodiments of the present disclosure.

Referring to FIG. 2, in step S210, a test coupon may be distributed to a group including at least one customer. The group may be a large enough set randomly selected from among a plurality of customers using an Internet-based service for electronic commerce.

Test coupons can have various prices. The price of the test coupon may be selected from the first price to the nth price (n is a natural number of 2 or more). For example, the first price may be '0 dollars (won)'. In other words, test coupons may not be distributed to some customers. Test coupons can be randomly distributed to customers. For example, the number of customer groups that received test coupons at different prices may be different.

In step S220, first information about the customer's characteristics and second information about the customer's use of the test coupon may be obtained.

First information about the customer's characteristics may include information known through order history. For example, the first information may include at least one of the following: elapsed time from the most recent order, order frequency, total purchase amount, order amount per time, and number of previous coupon uses. The first information about the customer's characteristics may further include information unrelated to order history, such as age, gender, and address.

The second information may include information about customers who used the test coupon. Customers who used the test coupon may be part of the group of customers who received the test coupon. More specifically, the second information may include a correspondence between the characteristics of the customer who used the test coupon and the price of the test coupon.

In step S230, a plurality of subgroups may be set within the group based on the first information. Step S230 may include dividing at least one piece of first information into two or more sections based on at least one numerical value, and matching customers of the group to each section.

For example, the first information subject to section division may be numerical data. If the first information subject to section division is categorical data (e.g., gender, address, etc.), step S230 is a step of converting at least one piece of first information into numeric data. More may be included. The step of converting information into numerical data can use data processing methods such as dummy variableization or category embedding.

According to one embodiment, at least one value that serves as a standard for dividing sections may be determined so that the intervals between sections are constant. According to another embodiment, at least one value that serves as a standard for dividing sections may be determined so that the number of customers corresponding to each section is constant. Step S230 will be described in detail with reference to FIGS. 4 to 6.

In step S240, third information about the purchase conversion probability according to the price of the test coupon may be obtained for at least some of the subgroups based on the first information and the second information. More specifically, the third information may include a graph where the horizontal axis is the price of the test coupon and the vertical axis is the purchase conversion probability. Customers who used test coupons can be displayed as dots on the graph. At this time, the purchase conversion probability refers to the ratio of the number of people who completed conversion (for example, purchasing a product) to the number of people who accessed the Internet-based service for e-commerce through a predetermined path. ; CVR) can be estimated. For example, the purchase conversion rate itself can be used as the purchase conversion probability.

Step S240 may include obtaining coupon sensitivity for each subgroup. The step of obtaining coupon sensitivity may include expressing the purchase conversion probability for the price of the test coupon as a linear function using a linear regression analysis method, and calculating the slope of the linear function. there is. For example, the purchase conversion probability for the price of the test coupon can be expressed as a linear function using the linear least square method. The slope of the linear function means the degree to which the probability of purchase conversion increases as the price of the test coupon increases in each subgroup of customers who used the test coupon, and this is defined as coupon sensitivity.

In step S250, fourth information about the coupon to be re-distributed and the characteristics of the target customer of the coupon can be confirmed based on the third information.

Referring to Figure 3, step S250 is a step of entering conditions regarding at least one of an available coupon budget, a sales target amount, and an ROI target value (S310), and within the conditions, a correspondence between the characteristics of the target customer and the price of the coupon. It may include a step (S310) of determining at least one of the relationship, the price of the coupon, the type of product to which the coupon is applied, and the expiration date of the coupon.

According to one embodiment, the correspondence between the characteristics of the target customer and the price of the coupon may be determined such that the coupon sensitivity obtained in step S240 is proportional to the price of the coupon. The target customer may correspond to one of the subgroups set in step S230 depending on its characteristics. The coupon sensitivity of the target customer may be estimated to be equal to the coupon sensitivity obtained in step S240 for the corresponding subgroup.

According to another embodiment, the correspondence relationship between the characteristics of the target customer and the price of the coupon may be determined so that the total price (i.e., cost) of the coupon is minimized while satisfying the condition regarding the sales target amount. More specifically, the correspondence between the characteristics of the target customer and the price of the coupon can be determined by the solution ({x _ij }) of the first resource allocation problem expressed as [Equation 1] below.

At this time, the subgroups set in step S230 include different first to mth subgroups (m is a natural number of 2 or more), and the prices of the distributed coupons are different from the first to nth prices (n is 2). It is assumed that it is selected from among natural numbers (or more). At this time, i is a natural number between 1 and m, j is a natural number between 1 and n, N _i is the number of customers belonging to the ith subgroup, C _j is the jth price, and p _ij is the ith subgroup. is the purchase conversion probability when a coupon of the _jth price _is provided to the subgroup, , T is the sales target. As another example, p _ij may mean the difference between the purchase conversion probability when a coupon at the jth price is provided to the ith subgroup and the purchase conversion probability when the coupon at the jth price is not provided to the ith subgroup.

At this time, for convenience of calculation, p _ij may be calculated using the linear function obtained in step S240. In other words, the coupon sensitivity obtained in step S240 can be used to solve the first resource allocation problem expressed by [Equation 1]. According to another embodiment, between the characteristics of the target customer and the price of the coupon The correspondence relationship can be determined so that the sales amount or number of orders is maximized while satisfying the conditions regarding the coupon budget. More specifically, the correspondence between the characteristics of the target customer and the price of the coupon can be determined by the solution ({x _ij }) of the second resource allocation problem expressed as [Equation 2] below.

At this time, V _i ' is the weight for the ith subgroup, and C is the available coupon budget. Descriptions of symbols that overlap with [Equation 1] above are omitted.

At this time, for convenience of calculation, p _ij may be calculated using the linear function obtained in step S240. In other words, the coupon sensitivity obtained in step S240 can be used to solve the second resource allocation problem expressed by [Equation 2].

If the weight (V _i ') for the ith subgroup is the average purchase amount of the ith subgroup, the correspondence between the characteristics of the target customer and the price of the coupon is established so that sales are maximized while satisfying the conditions regarding the coupon budget. can be decided.

If the weight (V _i ') for the ith subgroup is 1, the correspondence between the characteristics of the target customer and the price of the coupon can be determined so that the number of orders is maximized while satisfying the conditions regarding the coupon budget.

According to another embodiment, the correspondence relationship between the characteristics of the target customer and the price of the coupon is determined by satisfying at least one of the conditions regarding the sales target and the coupon budget while satisfying the return over investment (ROI) value (i.e., sales/ cost) may be determined to be maximized.

According to still other embodiments, the correspondence between the characteristics of the target customer and the price of the coupon may be determined to minimize cost or maximize sales (or number of orders) while satisfying conditions regarding the ROI value. At this time, the condition regarding the ROI value can be expressed as [Equation 3] below.

At this time, R is the ROI target value. Descriptions of symbols that overlap with [Equation 1] above are omitted.

Referring again to FIG. 2, in step S260, coupons may be distributed to target customers based on the fourth information. Coupons may be distributed according to the correspondence between the characteristics of the target customer determined in step S250 and the price of the coupon.

According to one embodiment, the coupon-related information management method according to the present disclosure may further include the step of modifying the fourth information based on information about products sold in real time. The step of modifying the fourth information may be interposed between steps S250 and S260, and thus coupons can be distributed more efficiently.

According to another embodiment, the coupon-related information management method according to the present disclosure includes obtaining fifth information about the target customer's use of the coupon after step S260, and updating third information based on the fifth information. Additional steps may be included. Afterwards, steps S250 and S260 may proceed again, and thus coupons may be distributed more efficiently.

Figures 4 and 5 are graphs for explaining the steps of setting a plurality of subgroups within a group according to an embodiment of the present disclosure. Each of FIGS. 4 and 5 is shown as a graph with continuous values, but this is only an example for convenience of explanation, and each of FIGS. 4 and 5 may be a graph with discrete values.

Referring to FIG. 4, one piece of first information about customer characteristics may be, for example, order frequency (i.e., frequency). For example, one piece of first information may be divided into first to

fifth sections

410, 420, 430, 440, and 450 based on numerical values. At this time, the numerical values may be determined so that the intervals between the first to

fifth sections

410, 420, 430, 440, and 450 are constant. For example, the first section 410 may be a section in which the order frequency is 0 or more times a month and less than 3 times a month, and the second section 420 may be a section in which the order frequency is 3 or more times a month but less than 6 times a month, The third section 430 may be a section in which the order frequency is 6 or more times per month and less than 9 times per month, and the fourth section 440 may be a section in which the order frequency is 9 or more times per month but less than 12 times per month, and the fifth section ( 450) may be a section where the order frequency is 12 or more times per month but less than 15 times per month. Customers may correspond to each of the first to

fifth sections

410, 420, 430, 440, and 450 according to order frequency.

Referring to FIG. 5, one piece of first information about the customer's characteristics may be, for example, the elapsed time from the most recent order (i.e., recency). For example, one piece of first information may be divided into first to

fifth sections

510, 520, 530, 540, and 550 based on numerical values. At this time, the numerical values may be determined so that the number of customers corresponding to each of the first to

fifth sections

510, 520, 530, 540, and 550 is constant. For example, the first section 510 may be a section in which the elapsed time from the most recent order is 0 to 5 days, and the second section 520 may be a section in which the elapsed time from the most recent order is 5 to 15 days. The third section 530 may be a section in which the elapsed time from the most recent order is more than 15 days and less than 30 days, and the fourth section 540 may be a section in which the elapsed time from the most recent order is more than 30 days. The section may be less than 50 days, and the fifth section 550 may be a section in which the elapsed time from the most recent order is more than 50 days and less than 75 days. For example, the number of customers corresponding to each of the first to

fifth sections

510, 520, 530, 540, and 550 may be the same.

FIG. 6 is a table illustrating steps for setting a plurality of subgroups within a group according to an embodiment of the present disclosure.

Referring to Figure 6, first information about the customer's characteristics may include, for example, order frequency and time since the most recent order.

The order frequency among the first information may be divided into, for example, a 1-1 section 611, a 1-2 section 612, and a 1-3 section 613 based on numerical values. For example, the 1-1 section 611 may be a section (Low Frequency) in which the order frequency is 0 or more times a month and less than 5 times a month, and the 1-2 section 612 may be a section (Low Frequency) in which the order frequency is 5 or more times a month. It may be a section (Mid Frequency) with an order frequency of less than 10 times (Mid Frequency), and the first to third section 613 may be a section (High Frequency) with an order frequency of 10 times or more per month.

The elapsed time from the most recent order among the first information may be divided into, for example, a 2-1 section 621, a 2-2 section 622, and a 2-3 section 623 based on the numerical values. You can. For example, the 2-1 section 621 may be a section where the elapsed time from the most recent order is 30 days or more (Least Recent), and the 2-2 section 622 may be a section where the elapsed time from the most recent order is 30 days or more. It may be a section of 10 to 30 days (Moderate Recent), and the second to third section 623 may be a section of less than 10 days from the most recent order (Most Recent).

At this time, the sections may be determined to have constant intervals, or the number of customers corresponding to each section may be determined to be constant.

For example, nine subgroups can be set based on first information about the customer's characteristics, such as order frequency and elapsed time from the most recent order. Thereafter, third information about the purchase conversion probability according to the price of the test coupon may be obtained for at least some of the nine subgroups.

Referring to Figure 7, the prices of test coupons distributed to customers are, for example, $0 (first price), $5 (second price), $10 (third price), and $15 (fourth price). ), $20 (fifth price), and $25 (sixth price). However, this is only an example and the price of the test coupon, the type of price, and the interval between prices may be different.

Customers belonging to one subgroup may be displayed as dots as shown in FIG. 7 according to the price of the test coupon received and the purchase conversion probability. The tendency of these points can be expressed as a linear function, for example, through a linear regression analysis method.

Referring again to FIG. 6, the first function 701 is a linear function representing the purchase conversion probability for the price of the test coupon of the subgroup corresponding to the 1-2 section 612 and the 2-2 section 622. It is a function. The slope of the first function 701 means the coupon sensitivity of the corresponding subgroup.

Referring to Figure 8, first information about the customer's characteristics may include, for example, order frequency, elapsed time from the most recent order, and total purchase amount. Order frequency, elapsed time since most recent order, and total purchase amount can each be divided into three intervals. At this time, the sections may be determined to have constant intervals, and the number of customers corresponding to each section may be determined to be constant.

For example, 27 subgroups can be established based on first information about the customer's characteristics, such as order frequency, elapsed time from the most recent order, and total purchase amount. Thereafter, third information about the purchase conversion probability according to the price of the test coupon may be obtained for at least some of the 27 subgroups.

However, this is only an example and the first information about the customer's characteristics may include two or more pieces of information different from that described with reference to FIG. 8, and each of these pieces of information may be divided into two or more sections. The number of subgroups may vary accordingly.

Meanwhile, the specification and drawings disclose preferred embodiments of the present disclosure, and although specific terms are used, these are used in a general sense to easily explain the technical content of the present disclosure and aid understanding of the invention. It is not intended to limit the scope of the disclosure. In addition to the embodiments disclosed herein, it is obvious to those skilled in the art that other modifications based on the technical idea of the present disclosure can be implemented.

The electronic device or terminal according to the above-described embodiments includes a processor, memory for storing and executing program data, permanent storage such as a disk drive, a communication port for communicating with an external device, a touch panel, and a key. , and may include user interface devices such as buttons. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, computer-readable recording media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disk, hard disk, etc.) and optical read media (e.g., CD-ROM). ), DVD (Digital Versatile Disc), etc. The computer-readable recording medium is distributed among computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner. The media may be readable by a computer, stored in memory, and executed by a processor.

This embodiment can be represented by functional block configurations and various processing steps. These functional blocks may be implemented in various numbers of hardware or/and software configurations that execute specific functions. For example, embodiments include integrated circuit configurations such as memory, processing, logic, look-up tables, etc. that can execute various functions under the control of one or more microprocessors or other control devices. can be hired. Similar to how the components can be implemented as software programming or software elements, the present embodiments include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, Java ( It can be implemented in a programming or scripting language such as Java, assembler, Python, etc. Functional aspects may be implemented as algorithms running on one or more processors. Additionally, this embodiment may employ conventional technologies for electronic environment settings, signal processing, and/or data processing. Terms such as “mechanism,” “element,” “means,” and “composition” can be used broadly and are not limited to mechanical and physical components. The term may include the meaning of a series of software routines in connection with a processor, etc.

The above-described embodiments are merely examples and other embodiments may be implemented within the scope of the claims described below.

Claims

In a method of managing coupon-related information on an electronic device,

distributing test coupons to a group including at least one customer;

Obtaining first information about the customer's characteristics and second information about the customer's use of the test coupon;

Setting a plurality of subgroups within the group based on the first information;

Based on the first information and the second information, obtaining third information about a purchase conversion probability according to the price of the test coupon for at least some of the subgroups;

Based on the third information, confirming fourth information about the coupon to be distributed and the characteristics of the target customer of the coupon; and

Comprising the step of distributing the coupon to the target customer based on the fourth information,

How to manage coupon-related information.
According to paragraph 1,

The first information includes at least one of the following: elapsed time from the most recent order, order frequency, total purchase amount, order amount per day, and number of previous coupon uses.

How to manage coupon-related information.
According to paragraph 1,

The steps of setting the subgroups within the group are:

dividing at least one piece of the first information into two or more sections based on at least one numerical value; and

Comprising the step of corresponding the customer of the group to each of the sections,

How to manage coupon-related information.
According to paragraph 3,

The at least one numerical value is determined such that the interval between the sections is constant,

How to manage coupon-related information.
According to paragraph 3,

The at least one numerical value is determined so that the number of customers corresponding to each of the sections is constant,

How to manage coupon-related information.
According to paragraph 1,

The step of confirming the fourth information is:

Entering conditions regarding at least one of an available coupon budget, a sales target amount, and an ROI target value; and

Within the conditions, determining at least one of a correspondence relationship between the characteristics of the target customer and the price of the coupon, the price of the coupon, the type of product to which the coupon applies, and the expiration date of the coupon,

How to manage coupon-related information.
According to clause 6,

Obtaining the third information includes obtaining coupon sensitivity for each of the subgroups,

Obtaining the coupon sensitivity includes expressing the purchase conversion probability for the price of the test coupon as a linear function using a linear regression analysis method, and calculating the slope of the linear function,

The correspondence relationship is determined so that the coupon sensitivity and the price of the coupon are proportional,

How to manage coupon-related information.
According to clause 6,

The correspondence relationship is determined so that the total price of the coupon is minimum while satisfying the conditions regarding the sales target amount,

How to manage coupon-related information.
According to clause 6,

The correspondence relationship is determined to maximize sales while satisfying the conditions regarding the coupon budget,

How to manage coupon-related information.
According to clause 6,

The correspondence relationship is determined so that the number of orders is maximized while satisfying the conditions regarding the coupon budget,

How to manage coupon-related information.
According to clause 6,

The correspondence relationship is determined so that the ROI value (i.e., total sales amount/price of the coupon) is maximized while satisfying at least one of the conditions regarding the sales target amount and the conditions regarding the coupon budget.

How to manage coupon-related information.
According to clause 6,

The correspondence relationship is determined so that the total price of the coupon is minimum or the sales amount is maximum while satisfying the conditions regarding the ROI target value.

How to manage coupon-related information.
According to paragraph 1,

The test coupons of different prices are randomly distributed to the customers in the group,

How to manage coupon-related information.
According to paragraph 1,

Further comprising the step of modifying the fourth information based on information about products sold in real time,

How to manage coupon-related information.
According to paragraph 1,

After distributing the coupon to the target customer, it further includes obtaining fifth information about the target customer's use of the coupon, and updating the third information based on the fifth information. doing,

How to manage coupon-related information.
A non-transitory computer-readable storage medium that records a program for executing the method of claim 1 on a computer.
In an electronic device for a method of managing coupon-related information,

a memory storing at least one instruction; and

Based on the at least one command, distribute a test coupon to a group including at least one customer, obtain first information about the customer's characteristics and second information about the customer's use of the test coupon, and , Setting a plurality of subgroups within the group based on the first information, and purchase conversion probability according to the price of the test coupon for at least some of the subgroups based on the first information and the second information Obtain third information about the coupon to be distributed based on the third information and fourth information about the characteristics of the target customer of the coupon, and provide the coupon to the target customer based on the fourth information. Including a processor that distributes,

Electronic devices.