KR20200042381A - Apparatus and method of transmitting real time marketing messages - Google Patents

Abstract

A method of providing status information of an affiliated store is provided. According to the present invention, the method of providing status information of an affiliated store may comprise the steps of: identifying an affiliated store mapped to location data in response to first interaction of a user; computing status information of the affiliated store using payment data received from a payment terminal of the affiliated store; outputting the status information of the affiliated store as a designated graphic object; and transmitting a request message to the payment terminal of the affiliated store in response to second interaction of the user with the graphic object.

Description

Apparatus and method for transmitting real-time marketing message {APPARATUS AND METHOD OF TRANSMITTING REAL TIME MARKETING MESSAGES}

The following description relates to an apparatus and method for transmitting a real-time marketing message.

In the case of small businesses that generate sales based on regions, such as retail, restaurant, and lodging businesses, marketing was carried out depending on how to distribute printed materials on the street or write advertisements in local newspapers or magazines. However, in the case of such a marketing, there are limitations that additional costs such as the cost of printing advertisements, the cost of hiring personnel for distributing flyers, and the advertising costs of newspapers or magazines exist. Also, the effect of the increase in sales by such marketing is directly verified. There are limitations that there is no way.

Republic of Korea Patent Registration No. 1711121 discloses an invention relating to a method and apparatus for calculating the fitness between a customer and an affiliated store. Specifically, the target patent is configured to calculate a goodness-of-fit fit for a plurality of regions used by a customer or have experience of visiting a merchant, calculate the final fit between the customer and the merchant, and perform marketing using the calculation result It contains. However, the target patent has not disclosed any details on the configuration of transmitting the real-time marketing message in consideration of the real-time sales information and the utilization rate of the merchant.

According to one side, a method of transmitting a real-time marketing message to potential customers existing within a specified distance based on the location data of the target merchant is provided. The method includes acquiring terminal information existing within a designated distance from a target server based on location data of the target affiliated store among a plurality of terminals on a designated server, and using the plurality of affiliated store information updated at a predetermined time period, the target affiliated store Outputting the utilization rate and sales information of the affiliated stores of the first affiliated stores sharing the business and industry, and the operating rate and sales information of the affiliated stores existing within a predetermined distance from the target affiliated store, the potential customer information, the affiliated stores of the first affiliated stores Calculating a plurality of audience groups for the target merchant based on the utilization rate and sales information, and the merchant utilization rate and sales information of the second merchants, and selecting at least some of the plurality of audience groups according to user interaction Steps to calculate your target audience group And transmitting a real-time marketing message to the target audience group.

According to an embodiment, the calculating of the plurality of audience groups may include filtering terminals having location data exceeding a predetermined first predetermined distance using received audience information, and discounting among the filtered terminals. Calculating a first group of audiences with payment data corresponding to an event, calculating a second group of audiences with payment data at the target merchant among the filtered terminals, and Calculating a third audience group in which payment data for the first affiliates exists and a fourth audience group in which the payment data for the second affiliates among the filtered terminals exists within a predetermined time period It may include steps.

According to another embodiment, the method further includes outputting graphic objects corresponding to each of the first audience group, the second audience group, the third audience group, and the fourth audience group. can do.

According to another embodiment, the calculating of the target audience group may include calculating potential customer conditions indicated by at least one graphic object in which the user's interaction exists among the output graphic objects and calculating the target audience group. And calculating at least one terminal sharing an audience condition as the target audience group.

According to another embodiment, the method is set based on a daily average franchise utilization rate and average daily sales information of the target affiliated store, which is preset in a time period in which an affiliated store utilization rate lower than a threshold level and low sales information are updated ( preset) may further include outputting a graphic object for transmitting the marketing message.

According to another embodiment, the preset marketing message is in real time (a) condition, (b) condition, (c) condition, and in a time period when the merchant utilization rate and low sales information lower than the threshold level are updated. (d) represents a marketing message for sending to a potential customer who satisfies at least one of the conditions, wherein (a) is a condition where payment data corresponding to a discount event exists, and (b) is a condition at the target affiliated store The payment data of the condition, the condition (c) is the condition where the payment data for the first affiliated store exists, and the condition (d) is the payment data within a predetermined time for the second affiliated store It can indicate the conditions that exist.

According to another embodiment, the method comprises the steps of recognizing a transaction code included in the real-time marketing message and separating the first payment data associated with the transaction code and the second payment data indicating additional payment. 2 The method may further include calculating a predetermined percentage amount of the payment data as a marketing index.

According to another side, there is provided a computer-readable recording medium containing a program for transmitting a real-time marketing message to potential customers existing within a specified distance based on the location data of the target merchant. The program is a set of commands for acquiring terminal information existing within a specified distance based on location data of the target affiliated store among the plurality of terminals as potential customer information, and the target affiliated store and the industry using a plurality of affiliated store information updated at a predetermined time period. A set of instructions for outputting the affiliate utilization rate and sales information of the first affiliated stores, and the affiliate affiliate utilization rate and sales information of the second affiliated stores existing within a predetermined distance from the target affiliated store, the potential customer information, the affiliated store utilization rate of the first affiliated stores And a command set for calculating a plurality of audience groups for the target merchant based on the sales information and the merchant utilization rate and sales information of the second merchants, and selecting at least some of the plurality of audience groups according to user interaction. Calculate your target audience group And a set of commands for transmitting a real-time marketing message to the target audience group.

According to another aspect, a payment device is provided that transmits a real-time marketing message to potential customers existing within a specified distance based on the location data of the target merchant. The payment device is a communication unit that acquires terminal information existing within a specified distance based on the location data of the target affiliated store among the plurality of terminals as potential customer information, and the target affiliated store and industry using a plurality of affiliated store information updated at a predetermined time period. A display that outputs the utilization rate and sales information of the affiliated stores of the first affiliated stores, and the utilization rate of the affiliated stores and sales information of the second affiliated stores existing within a predetermined distance from the target affiliated store, the potential customer information, the utilization rate of the affiliated stores of the first affiliated stores and Calculate a plurality of audience groups for the target merchant based on the sales information and the merchant utilization rate and sales information of the second merchants, and select at least some of the plurality of audience groups according to the user's interaction to target potential A processor that calculates a group of customers and It may include an input unit for recognizing the transaction code included in the real-time marketing message. The communication unit transmits a real-time marketing message to the target audience group, and the processor separates first payment data associated with the transaction code from second payment data indicating additional payment, and a predetermined ratio of the second payment data The amount can be calculated as a marketing index.

1 is an exemplary view showing a process in which a payment device disposed in a target affiliate store transmits a real-time marketing message to potential customers existing within a specified distance.
2 is a block diagram showing a payment device that transmits a real-time marketing message to potential customers.
3 is an exemplary view showing a process in which a payment device calculates a group of potential customers.
4 is an exemplary diagram illustrating a process in which a payment device outputs a graphic object for coupon execution in consideration of the state of a target affiliated store.
5 is a flowchart illustrating a method of transmitting a real-time marketing message according to an embodiment.
6 is a flowchart illustrating a process of calculating a predetermined percentage amount of payment data associated with a transaction code according to an embodiment.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be implemented in various forms. Accordingly, the embodiments are not limited to a specific disclosure form, and the scope of the present specification includes modifications, equivalents, or substitutes included in the technical spirit.

The terms first or second may be used to describe various components, but these terms should be interpreted only for the purpose of distinguishing one component from other components. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

When an element is said to be "connected" to another element, it should be understood that other elements may be present, either directly connected to or connected to the other element.

Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “include” or “have” are intended to designate the existence of a described feature, number, step, action, component, part, or combination thereof, and one or more other features, numbers, or steps. It should be understood that it does not preclude the existence or addition possibility of the operation, components, parts or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art. Terms such as those defined in a commonly used dictionary should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined herein. Does not.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. In describing with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of reference numerals, and duplicate descriptions thereof will be omitted.

1 is an exemplary view showing a process in which a payment device disposed in a target affiliate store transmits a real-time marketing message to potential customers existing within a specified distance. 2 to 1, the presence in the target merchant 110 and the target merchant first zone 121 and the second specified distance (110) present in a first specified distance d ₁ based on the d ₁ + d ₂ An illustrative view showing zone 122 is shown. The payment device according to the present embodiment may transmit a real-time marketing message to potential customers existing within a specified distance based on the location data of the target affiliated store 110.

According to an embodiment, the payment device may transmit a marketing message to terminals in the first zone 121 existing within the first designated distance d ₁ according to the user's selection. In addition, the payment device may transmit a marketing message to terminals in the second zone 122 existing within the second designated distance d ₁ + d ₂ . For example, user selection may be performed based on interaction with a payment device. Specifically, the payment device may be implemented as a point of sale terminal (POS) terminal that manages and stores sales information of the target affiliated store 110 and affiliated stores.

A user, such as an affiliate store owner, can select a target audience group for sending a marketing message in real time by contacting any one of a plurality of graphic objects output by the POS terminal. The payment device of the present embodiment can maximize the effectiveness of marketing while calculating the terminals existing in the vicinity as potential customers in consideration of the current state of the merchant and sending a real-time marketing message to potential customers selected by the user. Hereinafter, the process of calculating a target audience group that is likely to generate actual sales by the payment device disposed in the merchant is described in detail.

Calculate multiple audience groups

2 is a block diagram showing a payment device that transmits a real-time marketing message to potential customers. Referring to FIG. 2, the payment device 200 may include a communication unit 210, a display 220, a processor 230, and an input unit 240. Hereinafter, the payment device 200 described may represent a POS terminal that is disposed at a merchant and manages sales information, merchant utilization rate, and business hours. In addition, it will be said that a case in which a function of transmitting a real-time marketing message is updated by installing an additional application or software in a conventional POS terminal is also included in the scope of this embodiment.

The communication unit 210 may obtain terminal information existing within a designated distance from a target server based on location data of a target affiliated store among a plurality of terminals as a potential customer information. For example, the designated server may indicate a server that executes and manages the distributed application and receives real-time location data of the user's terminal while providing real-time information to the user. Specifically, the designated server may indicate an operation server of an application that supports simple payment to users or an operation server of an application that provides restaurant information, reservation, and order services to users.

As another embodiment, the communication unit 210 may receive terminal information existing at a plurality of designated distances based on the location data of the target affiliated store at a designated server. Exemplarily, but not limited to, the communication unit 210 is configured to control each of the first terminal information present within 200m, the second terminal information present within 500m, and the third terminal information present within 1,000m based on the target affiliated server. I can receive it.

The display 220 may output merchant utilization rate and sales information of the first merchants sharing the industry with the target merchant using a plurality of merchant information updated at a predetermined time period. In addition, the display 220 may output the affiliate utilization rate and sales information of the second affiliated stores existing within a predetermined distance from the target affiliated store. In addition, the display 220 may output a plurality of graphic objects for representing a group of prospects calculated by the processor 230 as described below.

The processor 230 may calculate a plurality of groups of potential customers for the target merchant based on the potential customer information, the merchant utilization rate and sales information of the first merchants, and the merchant utilization rate and sales information of the second merchants. More specifically, the processor 230 may filter the terminal having location data exceeding a first predetermined predetermined distance using the received potential customer information. For example, the first designated distance may indicate a designated distance set by a user, such as an affiliate store owner. The processor 230 may calculate a first audience group in which payment data corresponding to a discount event is present among the filtered terminals. The discount event may indicate a payment service using a discount code included in a real-time marketing message provided by the payment device. Accordingly, the processor 230 may calculate users having experience with coupons transmitted in the form of a real-time marketing message as a first audience group.

As another embodiment, the processor 230 may calculate a second group of potential customers in which payment data at the target affiliated store among the filtered terminals exists. Accordingly, the processor 230 may calculate users, who have experience of visiting the target merchant, and become regular customers, as the second group of potential customers.

As another embodiment, the processor 230 may calculate a third audience group in which payment data for first affiliates sharing an industry with a target affiliated member among the filtered terminals exists. Accordingly, the processor 230 may calculate a user as a third potential customer group, who has high payment potential in a new customer because of payment experience in the target merchant and the same industry.

As another embodiment, the processor 230 may calculate a group of fourth prospects in which payment data for a second time among the filtered terminals exists within a predetermined time. Accordingly, the processor 230 may calculate a fourth group of potential customers to send a location-based real-time marketing message to users who have made other payments in real time around the target merchant.

The display 220 may output graphic objects corresponding to each of the first audience group, the second audience group, the third audience group, and the fourth audience group calculated by the processor 230.

In one embodiment, the processor 230 may calculate a target audience group by selecting at least some of a plurality of audience groups according to a user interaction. In another embodiment, the processor 230 may automatically calculate a target audience group when the target merchant's utilization rate and sales information of the target merchant are below a threshold level. In the following, it will be further described for each case in which the target audience group is calculated along with additional drawings.

In another embodiment, the processor 230 may calculate an expected response rate of each audience included in a plurality of audience groups. Hereinafter, the expected response rate may indicate a probability that a potential customer who receives a real-time marketing message will visit a target affiliated store and generate an actual payment using a coupon. In addition, the processor 230 may generate a target audience group using the calculated expected response rate.

For example, the processor 230 may calculate an expected response rate for a real-time marketing message based on a coupon response experience of potential customers, a target merchant visit experience, a peer company visit experience of the target merchant, and a location condition of the same region. Specifically, the processor 230 may calculate an expected response rate based on Equation 1 below.

는 타겟 가맹점의 반응 비중(weight),

는 타겟 잠재고객 각각의 쿠폰 반응도를 나타낼 수 있다. 보다 구체적으로, 상기

는 타겟 잠재고객이 위치하고 있는 해당 권역에서 전체 가맹점 대비 동종업체 방문경험을 나타내는 비중을 나타낼 수 있다. 프로세서(230)는 타겟 잠재고객의 현 권역에 대한 조건부 계수로서, 상기

를 아래의 수학식 2와 같이 계산할 수 있다.In Equation 1, x is a coupon discount rate included in a real-time marketing message, e is a natural constant (under the natural log),

Is the target member's reaction weight,

Can represent the coupon response of each target audience. More specifically,

Can represent the weight of the experience of visiting the same company compared to all affiliates in the area where the target audience is located. The processor 230 is a conditional coefficient for the current area of the target audience, and the

Can be calculated as in Equation 2 below.

는 타겟 잠재고객이 해당 권역 내에서 동종업체를 방문하는 조건부 확률 P₁과 타겟 가맹점의 동종업체 대비 방문 확률 P₂의 곱으로서 계산될 수 있다.Specifically, indicating the specific gravity of the target merchant

Can be calculated as the product of the conditional probability P ₁ that the target prospect visits the same company in the corresponding region and the probability of visit P ₂ compared to the same company of the target merchant.

를 아래의 수학식 3과 같이 계산할 수 있다.In addition, the processor 230 is a coupon response indicating the sensitivity of the response to the coupon included in the real-time marketing message of the target audience

Can be calculated as in Equation 3 below.

는 특정한 타겟 잠재고객의 쿠폰 반응 횟수를 쿠폰 노출 횟수로 나눈 값으로 계산될 수 있다.Specifically,

May be calculated by dividing the number of coupon reactions of a specific target audience by the number of coupon exposures.

As described above, the processor 230 may extract the target audience group from the audience group according to the calculated expected response rate, and automatically output the target audience group through the display 220 of the payment device. Accordingly, the target affiliate store owner can expect the effect of performing marketing by automatically recommending potential customers who are likely to generate sales while visiting the affiliate store at the present time and using the coupon.

The communication unit 210 may transmit a real-time marketing message to the target audience group. The input unit 240 may recognize the transaction code included in the real-time marketing message when the user subsequently visits the target merchant. For example, the input unit 240 may be implemented as a barcode reader disposed at the POS, and recognize a barcode included in a real-time marketing message. It is obvious to a person skilled in the art that the barcode reader is merely an exemplary description of the input unit 240 and can be implemented with various types of hardware devices used to recognize coupons today, such as a quick response (QR) code reader. would.

The processor 230 may separate the first payment data associated with the transaction code from the second payment data indicating additional payment, and calculate a predetermined percentage amount of the second payment data as a marketing index. The marketing index may be used to settle costs between the server operating the payment device and the store owner.

Example of calculating an audience group

3 is an exemplary view showing a process in which a payment device calculates a group of potential customers. Referring to FIG. 3, a process in which a group of potential customers is calculated through the display of the payment device 310 is illustrated. The payment device 310 may output a first graphic object 321 that sets a range for receiving merchant utilization rate and sales information through a display. In this embodiment, the case where the merchant utilization rate and sales information is received for the first graphic object 321, “all merchants”, is described, but only for merchants in the same industry, merchants in the same region, or merchants in operation. It will be apparent to a person skilled in the art that an embodiment in which merchant operation rate and sales information is received is also feasible.

The payment device 310 may select any one of the plurality of audience information received according to the user's interaction. In the embodiment of FIG. 3, among 435 potential customers within “200m”, 1,255 potential customers within “500m” and 3,125 potential customers within “1,000m”, the second corresponds to a potential customer within “500m” The case where the graphic object 331 is selected by the user is shown. In addition, the payment device 310 may output terminal information existing within a designated distance of 500m as the third graphic object 332.

The payment device 310 may output, as a fourth graphic object 341, a first group of potential customers in which payment data corresponding to a discount event among terminal information existing within 500 m exists. Also, the payment device 310 may output, as the fifth graphic object 342, a second group of potential customers in which payment data at a target affiliated store among terminal information existing within 500 m is present.

The payment device 310 may calculate a potential customer condition indicated by at least one graphic object in which a user interaction exists among graphic objects output on the display. That is, graphic objects in which a user's interaction exists may indicate a potential customer condition selected by the user. Also, the payment device 310 may calculate at least one terminal sharing the calculated audience condition as a target audience group. In the case of the embodiment of FIG. 3, the payment device 310 may have experience of coupon response among terminals existing within 500 m from the target affiliated store, and may calculate terminals having experience visiting the target affiliated store as a target audience group. According to this process, the payment device 310 may expect an effect of calculating a target audience capable of optimizing the marketing effect in consideration of the merchant state and the user situation of the surroundings.

4 is an exemplary diagram illustrating a process in which a payment device outputs a graphic object for coupon execution in consideration of the state of a target affiliated store. The payment device may receive information on the coupon recovery rate through the designated network and output the received information on the display. As an embodiment, the payment device may output a plurality of graphic objects for conditions for displaying the coupon recovery rate. In this embodiment, a case in which an interaction with the first graphic object 410 is present by the user will be described. In this case, the payment device may display coupon collection rate information for "definite rate discount" on the display. It will be apparent to those skilled in the art that in the present embodiment, coupon recovery information for "fixed rate discount" is displayed, but embodiments in which flat rate discount, coupon recovery rate information for each time zone, and coupon recovery rate information for each distance are displayed can also be implemented.

Also, the payment device may display the second graphic object 420 representing the “coupon execution hot button”. More specifically, the processor of the payment device may calculate a time period in which the merchant utilization rate and lower sales information lower than a threshold level are updated based on the average daily merchant utilization rate and daily average sales information of the target merchant. Also, the display of the payment device may output a second graphic object 420 for transmitting a preset marketing message in the calculated time period. The second graphic object 420 may indicate the transmission of a preset marketing message automatically recommended by the payment device.

More specifically, the preset marketing message is in real time (a), (b), (c), and (d) conditions in real time at the time when the merchant utilization rate and low sales information lower than the threshold level are updated. It may indicate a marketing message to be sent to potential customers who satisfy at least one. The condition (a) is a condition in which payment data corresponding to a discount event exists, the condition (b) is a condition in which payment data is present in the target merchant, and the condition (c) is in the first merchants The payment data for the data is present, and the condition (d) may indicate the data for the second affiliated store within a predetermined time. In the condition (c), the first affiliate store may indicate affiliate stores that share an industry with the target affiliate store. In addition, in the condition (d), the second affiliated store may indicate a nearby affiliated store existing within a predetermined distance from the target affiliated store.

As another embodiment, the payment device may filter a group of prospects for transmitting a preset marketing message using an expected response rate calculated based on Equation 1 described above. The payment device may use the expected response rate to transmit a marketing message to potential customers who are likely to actually receive payment. For example, the payment device may send a preset marketing message to a potential customer whose expected response rate is above a threshold. Alternatively, the payment device may sequentially send preset marketing messages to potential customers in descending order of the calculated expected response rate. In addition, the payment device repeats the population based on the expected response rate by using a group of potential customers that satisfy at least one of the conditions (a), (b), (c), and (d) described above. Target audience groups can be set by filtering or sorting in descending order.

As another embodiment, the payment device may calculate a target audience group for transmitting a preset marketing message. The payment device may calculate the fitness for each category to which the target merchant belongs. Illustratively, the payment device designates a restaurant business that includes sales of cafes, meals, and liquors comprehensively as a category category, and includes Americano, latte, or menu of cafe, soju, beer, menu of sashimi, or sake. As described above, clustering can be performed for each of the middle and small categories. In addition, the payment device may measure similarity between items corresponding to each of the large category, the middle category, and the small category, and perform clustering to correlate items with high similarity.

In addition, the payment device may filter information about a specific area from payment data for a potential customer, and calculate similarity with a target affiliated store. In the process of the payment device calculating the similarity, Jaccard similarity may be used. Since the jacquard similarity is straight forward to the expert in the technical field, detailed description will be omitted.

In addition, the payment device may calculate the discount rate Reward (customer, discount rate) corresponding to the target customer as shown in Equation 4 below.

For example, the payment device may filter a certain number of people from the entire audience group using a function f ₁ (distance ^-1 ) that is inversely proportional to the distance. The distance represents the Euclidian distance, and may be calculated as in Equation 5 below.

The payment device may determine the first designated area existing within the first designated distance d ₁ and the second designated area existing within the second designated distance d ₁ + d ₂ from the target affiliated store using the Euclidean distance. In addition, the payment device filters only the group of prospects existing in the first designated zone or the second designated zone, and differentiates the discount rate given to potential customers by differently weighting the reward for each distance. Can be given as

In addition, the payment device may select a target audience group by using the f ₂ (r _discount , x) function to pay only for items associated with the discount coupon or to determine a cherry picker customer whose additional payment amount is less than or equal to a predetermined value. In the f ₂ (r _discount , x) function, r _discount may be calculated as in Equation 6 below.

In addition, the payment device may calculate f ₂ (r _discount , x) for r _discount and total payment amount x as shown in Equation 7 below.

The payment device can reduce the proportion of coupon exposure by trading only products related to the discount coupon based on Equation (7), and determining potential customers (cherry picker type customers) with low additional payment.

In addition, the payment device may calculate the industry preference for each potential customer using a f ₃ (category favorability) function. Specifically, the payment device may calculate the f ₃ (category favorability) function as in Equation 8 below.

In Equation 8, B represents a potential customer preference for all affiliates. In addition, in Equation 8, A represents the preference of potential customers for the same industry of the target merchant. In the case of a preference of a potential customer, it may be calculated based on a residence time in a screen for a specific merchant among the session connection screens provided by the payment device and an in-app scroll rate in the screen for the specific merchant.

The payment device may calculate the local preference for each potential customer using the f ₄ (local favorability) function. Specifically, the payment device calculates f ₄ (local favorability) using the location information provided by the pre-distributed application using the residence time in the corresponding area of the potential customer and the number of payments in the relevant area of the potential customer. You can.

In addition, the payment device may select a group of prospects according to whether a correlated event has occurred. Specifically, the payment device may calculate a f ₅ (correlative event) function based on whether a real-time marketing message of a target affiliated store and an event having high correlation occur within a predetermined time. Since the process of calculating the correlation between the two factors is obvious to the expert in the technical field, detailed description will be omitted.

Accordingly, the payment device of the present embodiment implements an effect to implement a more active marketing by proposing a preset marketing message to the user in real time in consideration of the current merchant status (eg, merchant utilization rate or sales information). I can expect.

5 is a flowchart illustrating a method of transmitting a real-time marketing message according to an embodiment. Referring to FIG. 5, the method of transmitting a real-time marketing message includes obtaining terminal information within a specified distance based on the location data of the target affiliated store (510), and operating rate and sales information of affiliated stores of a plurality of affiliated stores associated with the target affiliated store. Outputting step 520, calculating a plurality of audience groups 530, calculating a target audience group according to user interaction 540, and transmitting a real-time marketing message to the target audience group ( 550). The method described below may be performed by a payment device such as a POS terminal or a computing device in which pre-distributed software is installed.

In step 510, the payment device (or computing device) may obtain terminal information existing within a specified distance based on the location data of the target affiliated store among a plurality of terminals from a server designated as potential customer information. The designated server is a server operated by a large platform operator, and may include forms such as a simple payment server, a restaurant information server, or a real-time ordering and reservation server.

In step 520, the payment device may output the affiliate utilization rate and sales information of a plurality of affiliated stores associated with the target affiliated store. Specifically, the payment device may receive the utilization rate and sales information of the affiliated stores of the plurality of affiliated stores associated with the target affiliated store through a network connected to the plurality of payment devices, and output the information on a display. As an embodiment, the payment device may output the utilization rate and sales information of the affiliates of the first affiliates that share the industry with the target affiliates. As another embodiment, the payment device may output the affiliate utilization rate and sales information of the second affiliated stores existing within a predetermined distance from the target affiliated store.

In step 530, the payment device may calculate a plurality of audience groups. Specifically, the payment device may filter the terminal having the location data exceeding the preset first specified distance using the received potential customer information. The first specified distance may indicate a parameter determined by a user's setting value. As an embodiment, the payment device may calculate a first group of potential customers in which payment data corresponding to a discount event is present among the filtered terminals. As another embodiment, the payment device may calculate a second group of potential customers in which payment data at the target affiliated store is among the filtered terminals. As another embodiment, the payment device may calculate a third audience group in which payment data for the first affiliated stores is present among the filtered terminals. As another embodiment, the payment device may calculate a fourth audience group in which the payment data for the second affiliated stores is within a predetermined time among the filtered terminals. In the above embodiment, only an exemplary description is provided to aid understanding, and an embodiment in which payment data of a terminal is filtered to calculate various groups of potential customers matching a target affiliated store will also be included in the spirit of the present application.

In step 540, the payment device may calculate a target audience group according to the user's interaction. Specifically, the payment device calculates potential customer conditions indicated by at least one graphic object in which a user's interaction exists among graphic objects output on the display, and the potential at least one terminal sharing the calculated potential customer conditions. Can be calculated as a group of customers.

In step 550, the payment device may transmit a real-time marketing message to the target audience group. Accordingly, the payment device uses the current target franchise's franchise utilization rate and sales information, and uses nearby franchisees 'or affiliated stores' franchise utilization rate and sales information to create a target audience group that can maximize marketing effectiveness at this time. The effect of setting can be provided to users.

6 is a flowchart illustrating a process of calculating a predetermined percentage amount of payment data associated with a transaction code according to an embodiment. Referring to FIG. 6, a method of calculating a predetermined percentage amount of payment data associated with a transaction code includes recognizing the transaction code included in the real-time marketing message (610), and the first payment data associated with the transaction code and additional payment It may include the step (620) of separating the second payment data indicating and the step (630) of calculating a predetermined percentage amount of the second payment data as a marketing index.

In step 610, the payment device may recognize the transaction code included in the real-time marketing message. The payment device may recognize the transaction code presented by the user through the input device. Illustratively, the input device may be implemented in various hardware types reading information media today, such as a barcode reader or a QR code reader that uses a camera to identify a quick response code or the like. Will be able to. Specifically, the transaction code may include a discount code for a specific product or a specific service issued by the payment device.

In step 620, the payment device may separate the first payment data associated with the transaction code from the second payment data indicating additional payment. The payment device of this embodiment separates the case of performing only payment for a product that is discounted, such as a so-called cherry picker-type consumer, and the case of performing additional payment other than the corresponding product, and marketing index only for additional payment. By calculating, you can implement a business between the server that provides the service and the store owner.

In step 630, the payment device may calculate a predetermined percentage amount of the second payment data as a marketing index. For example, there may be a case where the payment device transmits a real-time marketing message including a discount code for "Ice Americano". In this case, the payment device calculates the marketing index only for a predetermined percentage amount of the second payment data corresponding to additional payments (for example, cheesecake or cafe latte, etc.) excluding "ice americano" by customers visiting the target merchant. By doing so, it is possible to provide an effect that allows the target merchant to efficiently perform marketing and confirm the marketing effect realistically.

The embodiments described above may be implemented with hardware components, software components, and / or combinations of hardware components and software components. For example, the devices, methods, and components described in the embodiments include, for example, a processor, controller, arithmetic logic unit (ALU), digital signal processor (micro signal processor), microcomputer, field programmable gate (FPGA). It can be implemented using one or more general purpose computers or special purpose computers, such as arrays, programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and / or data may be interpreted by a processing device, or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the transmitted signal wave. The software may be distributed on networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. Computer-readable media may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the embodiments, or may be known and usable by those skilled in the computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and / or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if replaced or substituted by equivalents, appropriate results can be achieved.

Claims (7)

In the method of transmitting a real-time (real-time) marketing message to potential customers existing within a specified distance based on the location data of the target merchant,
Obtaining terminal information existing within a specified distance based on the location data of the target affiliated store among a plurality of terminals at a server designated as potential customer information;
Affiliate utilization rate and sales information of the first merchants sharing the industry with the target merchant using a plurality of merchant information updated at a predetermined time period, and the merchant utilization rate and sales information of the second merchants existing within a predetermined distance from the target merchant Outputting;
Calculating a plurality of potential customer groups for the target merchant based on the prospective customer information, merchant utilization rate and sales information of the first merchants, and merchant utilization rate and sales information of the second merchants;
Calculating a target audience group by selecting at least some of the plurality of audience groups according to a user interaction; And
Transmitting a real-time marketing message to the target audience group
How to send a real-time marketing message containing.
According to claim 1,
The step of calculating the plurality of audience groups,
Filtering the terminal having the location data exceeding the first preset predetermined distance using the received audience information;
Calculating a first audience group in which the payment data corresponding to the discount event among the filtered terminals exists;
Calculating a second audience group in which the payment data at the target affiliated store among the filtered terminals exists;
Calculating a third audience group in which the payment data for the first affiliated stores among the filtered terminals exists; And
Calculating a fourth group of potential customers in which the payment data within a predetermined time for the second affiliated stores among the filtered terminals exists
How to send a real-time marketing message further comprising.
According to claim 2,
Outputting graphic objects corresponding to each of the first audience group, the second audience group, the third audience group, and the fourth audience group
Further comprising,
The step of calculating the target audience group,
Calculating potential customer conditions indicated by at least one graphic object in which the user interaction exists among the output graphic objects; And
Calculating at least one terminal sharing the calculated audience condition as the target audience group
How to send a real-time marketing message containing.
According to claim 3,
A graphic object for transmitting a preset marketing message in a time period in which the merchant utilization rate and lower sales information lower than a threshold level are updated based on the average daily merchant utilization rate and daily average sales information of the target merchant Step to print
Calculating an expected response rate based on Equation 1; And
Iteratively filtering a group of prospects for transmitting a preset marketing message using the calculated expected response rate
Further comprising,
Equation 1 is

Where x is the coupon discount rate included in the preset marketing message, e is the natural constant (under the natural log),

Is the target member's reaction weight,

Indicates the coupon response of each target audience, and

Is calculated as the weight representing the experience of visiting the same company compared to all affiliates in the area where the target audience is located,
The preset marketing message,
Send to prospects who meet at least one of the following conditions: (a), (b), (c), and (d) in real time, at a time when merchant utilization rates and lower sales information are lower than the threshold level. Marketing message to do,
The condition (a) is a condition in which payment data corresponding to a discount event exists, the condition (b) is a condition in which payment data is present in the target merchant, and the condition (c) is in the first merchants A method for transmitting a real-time marketing message indicating a condition in which payment data for a condition exists, and the condition in (d) indicates a condition in which payment data within a predetermined time for the second merchants exists.
According to claim 4,
Recognizing a transaction code included in the real-time marketing message; And
Separating the first payment data associated with the transaction code and the second payment data indicating additional payment, and calculating a predetermined percentage amount of the second payment data as a marketing index
How to send a real-time marketing message further comprising.
A computer readable recording medium containing a program that transmits a real-time marketing message to prospective customers located within a specified distance based on the location data of a target merchant, the program comprising:
A command set for acquiring terminal information existing within a specified distance based on the location data of the target affiliated store among a plurality of terminals at a server designated as potential customer information;
Affiliate utilization rate and sales information of the first merchants sharing the industry with the target merchant using a plurality of merchant information updated at a predetermined time period, and the merchant utilization rate and sales information of the second merchants existing within a predetermined distance from the target merchant Output instruction set;
A set of instructions for calculating a plurality of audience groups for the target merchant based on the prospect information, the merchant utilization rate and sales information of the first merchants, and the merchant utilization rate and sales information of the second merchants;
A command set for calculating a target audience group by selecting at least some of the plurality of audience groups according to a user interaction; And
Command set to send real-time marketing message to the target audience group
Computer-readable recording medium comprising a.
In the payment device for transmitting a real-time marketing message to potential customers existing within a specified distance based on the location data of the target merchant,
A communication unit that acquires terminal information existing within a specified distance based on the location data of the target affiliated store among a plurality of terminals at a server designated as potential customer information;
Affiliate utilization rate and sales information of the first merchants sharing the industry with the target merchant using a plurality of merchant information updated at a predetermined time period, and the merchant utilization rate and sales information of the second merchants existing within a predetermined distance from the target merchant An output display;
Calculate a plurality of audience groups for the target merchant based on the prospect information, the merchant utilization rate and sales information of the first merchants, and the merchant utilization rate and sales information of the second merchants, and according to the user interaction A processor that selects at least some of the plurality of audience groups to calculate a target audience group; And
Input unit to recognize the transaction code included in the real-time marketing message
Including,
The communication unit transmits the real-time marketing message to the target audience group, and the processor separates first payment data associated with the transaction code from second payment data indicating additional payment, and determines the second payment data. Percentage amount
Payment device that calculates as a marketing index.

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