Marketing system based on the information about affiliates and customers

Marketing system based on affiliate and customer analysis

The present invention relates to a marketing system based on affiliate store and customer analysis, and to a marketing system based on affiliate store and customer analysis that analyzes affiliate store and customer (consumer) information, reprocesses the analyzed information, and provides it to customers.

Regarding a system for providing customized information, a number of applications and registrations have been made in addition to Korean Patent Application Laid-Open No. 10-2007-55223. Specifically, the system according to the prior patent includes a network access control device for authenticating a subscriber terminal requesting network access and extracting access facility information transmitted from the subscriber terminal, as described in the published specification, and the access facility information. A subscriber access location management device for analyzing the actual location of the subscriber terminal by having facility location information for the subscriber terminal, a local living information providing device for providing local living information corresponding to the actual location to the subscriber terminal, and the network connection Receive access facility information from a control device, receive actual location information of the subscriber terminal from the subscriber access location management device using the access facility information, and receive local information from the local living information providing device using the actual location information It is implemented as a network access service control device that receives living information and transmits it to the subscriber terminal through the web.

However, in the case of the above system, as the system provides local living information corresponding to the access location of the subscriber, information analyzed based on the type of affiliated store and the type of customer is not provided. There was a problem provided.

<p>The present invention has been devised in view of the above problems, classifies the type of affiliated store and customer type based on the information of the affiliated store and the customer of the affiliated store, and generates customized marketing information using the classified information to create a customer terminal Its purpose is to provide a system that delivers </p>

<p>The present invention for achieving this technical task relates to a marketing system based on affiliate store and customer analysis, comprising: an affiliate store server that generates basic information and sales status information about the affiliate store; a marketing server that classifies types of affiliated stores and customer types based on the basic information and sales status information received from the affiliated store server, and generates customized marketing information and various service information and benefit information of affiliated stores; and a customer terminal that processes and displays customized marketing information received from the marketing server based on location information, and receives and displays a notification message including various service information and benefit information of an affiliated store; It is characterized in that it includes.</p><p>In addition, the basic information includes location information of affiliated stores on the actual map, industry type and type information that is information by business type, item, product and service according to business registration of affiliated stores, size information of affiliated stores that is information about the area and maximum number of affiliated stores, product / It is characterized in that it includes product information of an affiliated store, which is service type and price information, and customer information, which is user's gender and age information.</p><p>In addition, the marketing server classifies the affiliate store based on the basic information received from the affiliate store server, classifies the sales according to the sales performance based on the sales status information received from the affiliate store server, and analyzes the basic information and the classified sales A franchisee and sales management unit that analyzes the type of affiliated store based on the information; a customer management unit that analyzes a customer type by using the type analysis information of the affiliated store received from the affiliated store and the sales management unit, and generates customized marketing information for the customer; and a marketing management unit transmitting the customized marketing information received from the customer management unit to the customer terminal, and transmitting various service information and benefit information of the affiliated store to the customer terminal; It is characterized in that it includes.</p><p>In addition, the affiliate store and sales management unit, a basic information management module for receiving, storing and managing basic information of the affiliated store; an affiliated store classification module that analyzes the basic information to classify the distribution of merchants and affiliated stores; Based on the sales status information received from the affiliated store server, the amount information paid by the customer and the number of times the customer used the affiliated store are analyzed, and the number of accompanying people, the relationship between companions, and the first order time and final payment time information are analyzed. analysis module; and an affiliated store type analysis module 214 for analyzing the affiliated store type by using the basic information received from the affiliated store and the analysis information received from the sales analysis module; It is characterized in that it includes.</p><p>In addition, the affiliated store classification module classifies the region according to the commercial environment of the affiliated store based on the location information included in the basic information, and the gender and age of customers who use the affiliated store based on the customer information of the affiliated store included in the basic information It is characterized by classifying the distribution of .</p><p>In addition, the sales analysis module is characterized in that it issues a customer cash receipt according to the sales status information received from the affiliated store server.</p><p>In addition, the affiliate store type analysis module analyzes product and service price information based on the affiliate store size information and affiliate store product information included in the basic information to classify the affiliate store size into upper/middle/lower, and the sales analysis module It is characterized in that it analyzes the average usage time and frequency of customers based on the analysis information received from the store, and analyzes the customer members of the affiliated stores.</p><p>In addition, the customer management unit, using the type analysis information of the affiliated store received from the affiliated store and the sales management unit, analyzes the affiliate store preference according to the size, industry, and location, and the customer's affiliate store usage information and consumption behavior according to the number of times and payment types a preference analysis module; a customer type analysis module for analyzing customer types based on gender, age, income, and region by using the affiliate store preference and consumption behavior information; and a marketing information generating module for generating customized marketing information for each customer terminal by using the affiliate store type analysis information received from the affiliate store and the sales management unit and the customer type analysis information received from the customer type analysis module; It is characterized in that it includes.</p><p>In addition, the marketing management unit transmits the customized marketing information received from the customer management unit to the customer terminal, and generates a notification message including various service information and benefit information of the affiliated store in the form of SMS or MMS and transmits the message to the customer terminal management module; a stamp card management module for managing information on the issuance of stamp cards of the affiliated store to the customer, notification of usage performance, and statistics on issuance history; a mileage management module for accumulating and deducting mileage from affiliated stores for customers and managing statistics; and a coupon management module for issuing coupons from affiliated stores to customers, and managing coupon usage records related to coupon usage rate, reissuance, and deletion; It is characterized in that it includes.</p><p>In addition, the customer terminal is equipped with an electronic map according to GPS and navigation functions, displays the current location information of the customer terminal based on the GPS signal through the electronic map, and processes the customized marketing information to determine the current location of the customer terminal It is characterized in that the location of the affiliated store suitable for the customer is displayed based on the information. </p>

<p>According to the present invention as described above, it is possible to provide various service information and benefit information to customers by classifying the types of affiliated stores and customers, and generating and delivering customized marketing information suitable for the characteristics of customers based on the classified information. It has the effect of maximizing sales as well as the promotional effect of affiliated stores. </p>

1 is an overall configuration diagram conceptually illustrating a marketing system based on analysis of affiliated stores and customers according to an embodiment of the present invention; 2 is a detailed configuration diagram of a marketing server according to an embodiment of the present invention; 3 is a detailed configuration diagram of an affiliated store and a sales management unit according to an embodiment of the present invention; 4 is a detailed configuration diagram of a customer management unit according to an embodiment of the present invention. 5 is a detailed configuration diagram of a marketing management unit according to an embodiment of the present invention.

The specific features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Prior to this, it should be noted that, when it is determined that a detailed description of a known function and its configuration related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof is omitted.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

A marketing system based on affiliate and customer analysis according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5 as follows.

1 is an overall configuration diagram conceptually illustrating an affiliated store and customer analysis-based marketing system (S) according to an embodiment of the present invention. As shown, an affiliated store server 100, a marketing server 200, and a user terminal (300) is included.

The affiliated store server 100 generates basic information and sales status information of the affiliated store.

Here, the basic information of the affiliated store includes location information of the affiliated store on the actual map, the type of business and type information that is information by business type, item, product and service according to the business registration of the affiliated store, information on the size of the affiliated store, which is information on the area and maximum number of people in the affiliated store, and product /Includes merchant's product information, which is service type and price information, and customer information, which is user's gender and age information.

The marketing server 200 classifies the types of affiliated stores and customer types based on the basic information and sales status information received from the affiliated store server 100, and generates customized marketing information and various service information and benefit information of the affiliated stores. As shown in FIG. 2 , the bar performs a function, and includes an affiliated store and sales management unit 210 , a customer management unit 220 , and a marketing management unit 230 .

Specifically, the affiliated store and sales management unit 210 classifies the affiliated store based on the basic information received from the affiliated store server 100 , and classifies the sales according to the sales performance based on the sales status information received from the affiliated store server 100 . and performs a function of analyzing the type of affiliated store based on the basic information and the classified sales analysis information. As shown in FIG. 3 , the basic information management module 211, affiliated store classification module 212, and sales analysis a module 213 and a merchant type analysis module 214 .

Specifically, the basic information management module 211 receives and stores and manages the basic information of the affiliated store. As described above, the basic information includes location information of affiliated stores on the actual map, industry type and form information that is information by business type, item, product and service according to business registration of affiliated stores, and scale of affiliated stores, which is information on the area and maximum number of affiliated stores. Information, product/service type and price information of affiliated stores, and customer information, which is user's gender and age information, are included.

The affiliated store classification module 212 analyzes the basic information to classify the distribution of merchants and affiliated stores. More specifically, the affiliate store classification module 212 classifies the region according to the commercial environment of the affiliate store based on the location information included in the basic information.

Here, according to the surrounding commercial environment, the affiliated store may be classified and classified into a downtown area, a university area, a company area, a residential area, and the like.

If we look at the classification criteria of franchisees according to the surrounding commercial environment,

1) Stores in scattering, which are advantageous if they are located in a distributed location (General stores, kitchenware stores, barber shops, public baths, etc.)

2) Locally concentrated stores (agricultural equipment stores, fertilizer stores, etc.)

3) Stores that are advantageous when stores in the same industry are located in one place (banks, government offices, bookstores, electronics stores, etc.)

4) Stores that are advantageous when located in the center of the city (CBD) (wholesale stores, department stores, high-end restaurants, large bookstores, theaters, etc.)

In addition, the affiliate store classification module 212 classifies the distribution of gender and age of customers using the affiliate store based on customer information of the affiliate store included in the basic information.

The sales analysis module 213 analyzes the amount information paid by the customer and information on the number of times the customer used the affiliated store based on the sales status information received from the affiliated store server 100, and the number of accompanying persons, the relationship between companions, and the first order Analyze time and final payment time information. Meanwhile, the sales analysis module 213 may issue a customer cash receipt according to the sales status information received from the affiliate store server 100 .

The affiliated store type analysis module 214 analyzes the affiliated store type using the basic information received from the affiliated store server 100 and the analysis information received from the sales analysis module 213 .

More specifically, the affiliate store type analysis module 214 analyzes product and service price information based on the affiliate store size information and affiliate store product information included in the basic information, and classifies the affiliate store size into upper/middle/lower classes. .

In this case, among the basic information of the affiliated store, product and service price information included in the affiliated store product information is analyzed, and the affiliated store is classified according to the amount of the product.

For example, in the case of a restaurant, based on the average price of the menu sold by the franchisee, if goods and services are provided at a price less than the average price, it is classified as a general restaurant, and products and services with a price greater than the average price classify it as a high-end restaurant.

In addition, the affiliate store type analysis module 214 analyzes the average usage time and frequency of customers based on the analysis information received from the sales analysis module 213, and analyzes the customer members of the affiliate store.

For example, it can be analyzed as lovers, family, friends, company meetings, etc. When the number of people per table is 2, 1 male 1 male, 1 female 1 female friends, 1 male 1 female, couples, family or social gatherings when the number of people is 4 or more, social gatherings or dinners when there are 4 or more people , and other personnel are defined as large-scale meetings, etc. to analyze the main customer members of the affiliated store.

An example of analyzing the type of affiliated store through the above method is as follows.

If it is a franchise chicken hop house located in Sinchon, the affiliated store type analysis module 214 is designated as 'Business Street and University District' for regional classification according to the surrounding commercial environment, and location information is designated as 'Sinchon', and is the first step in category classification. The business type is designated as 'wholesale and retail', the second item is designated as 'franchise', and if necessary, it can be divided into 'alcoholic' and 'chicken' thirdly. In addition, the gender and age groups of major customers are defined as franchisees where friends, companies, and gatherings are mainly held or classified by age, such as '60% men in their 20s, 40% women, 70% men in their 30s, and 30% women in their 30s'. .

The customer management unit 220 performs a function of analyzing the customer type and generating customized marketing information for the customer by using the type analysis information of the affiliated store received from the affiliated store and the sales management unit 210, as shown in FIG. As shown, it includes a preference analysis module 221 , a customer type analysis module 222 , and a marketing information generation module 223 .

Specifically, the preference analysis module 221 uses the affiliate store type analysis information received from the affiliate store and the sales management unit 210 to determine affiliate store preferences according to size, industry, and location, and the customer's affiliate store usage information, number of uses, and payment type. Analyze consumption behavior according to

The customer type analysis module 222 analyzes the customer type by gender, age, income, region, etc. using the affiliate store preference and consumption behavior information.

The marketing information generation module 223 uses the affiliated store type analysis information received from the affiliated store and sales management unit 210 and the customer type analysis information received from the customer type analysis module 222, each customer terminal 300 ) to create customized marketing information.

An example of marketing information using the above analysis information is as follows.

Among the payment information of customers, if there is information about consuming meals near Jongno during lunch time, mainly drinking alcohol-related consumption near Gangnam Station on Friday evening, and purchasing bread at a bakery near Sadang Station on an unspecified day on a weekday evening, marketing information generation module (223) predicts that the customer is an office worker who works for a company near Jongno, and his friends usually meet near Gangnam Station, and that he lives near Sadang Station.

The marketing management unit 230 transmits the customized marketing information received from the customer management unit 220 to the customer terminal 300 , and performs a function of transmitting various service information and benefit information of the affiliated store to the customer terminal 300 . As shown in FIG. 5 , it includes a message transmission management module 231 , a stamp card management module 232 , a mileage management module 233 and a coupon management module 234 .

Specifically, the message transmission management module 231 transmits the customized marketing information received from the customer management unit 220 to the customer terminal 300, and sends a notification message including various service information and benefit information of the affiliated store to SMS or MMS. It is created in the form and transmitted to the customer terminal 300 .

In this case, the service information and benefit information includes a usage history notification, mileage usage and accrual notification, thank you letter, event guide, regular service information, and the like.

The stamp card management module 232 manages information such as issuance of a stamp card of the affiliated store to the customer, notification of usage performance, and issuance history statistics.

The mileage management module 233 accumulates and deducts the mileage of the affiliated store for the customer, and manages statistics.

The coupon management module 234 issues coupons from affiliated stores to customers, and manages coupon usage records related to coupon usage rate, reissuance, and deletion.

The customer terminal 300 processes and displays the customized marketing information received from the marketing server 200 based on the location information, and receives and displays a notification message including various service information and benefit information of the affiliated store.

Specifically, the customer terminal 300 is equipped with an electronic map according to the GPS and navigation functions, displays the current location information of the customer terminal through the electronic map based on the GPS signal, and processes the customized marketing information to the customer terminal Displays the location of the affiliated store suitable for the customer based on the current location information of

For example, if a customer's consumption pattern is analyzed that they use a billiard room, alcohol-related store, and convenience store a lot on the same day, if a specific customer who only consumed a billiard room and alcohol related consumption, the billiard room and alcoholic beverages located near the current location on the electronic map of the customer terminal It has the advantage of maximizing overall franchise sales by displaying the locations of related affiliated stores in red and displaying the locations of convenience stores in orange, making it easier to access even convenience stores that you have never been to.

Although described and illustrated in relation to a preferred embodiment for illustrating the technical idea of the present invention, the present invention is not limited to the configuration and operation as shown and described as such, and deviates from the scope of the technical idea. It will be apparent to those skilled in the art that many changes and modifications may be made to the present invention without reference to the invention. Accordingly, all such suitable alterations and modifications and equivalents are to be considered as falling within the scope of the present invention.

S: Marketing system based on affiliate and customer analysis 100: merchant server 200: marketing server 210: affiliate store and sales management unit 211: basic information management module 212: merchant classification module 213: sales analysis module 214: affiliate type analysis module 220: customer management unit 221: preference analysis module 222: customer type analysis module 223: marketing information generation module 230: marketing management unit 231: message transmission management module 232: stamp management management module 233: mileage management module 234: coupon management module 300: customer terminal