KR100883700B1 - Target advertisement Method and system using commodity extract capability of purchase for the same - Google Patents

Abstract

The present invention relates to a target advertising method and system using the available product extraction, in particular a product having a high purchase preference based on the customer's personal information and interest product information and customer's purchase, question and answer, consultation data, etc. It provides product information that matches the purchasing tendency and characteristics to members who access the web server by extracting the rankings, and also enables them to effectively provide various target advertisements for each customer in a push method through a communication server. The present invention relates to a method and system for targeting advertisement using purchaseable product extraction.

According to the present invention, as well as effectively provide a variety of product information for each customer, as well as to increase the purchase rate through it provides an effect that the e-commerce is activated.

Target ads, available product extractions, purchase rate, ad viewership rate, product click rate

Description

Target advertisement method and system using commodity extract capability of purchase for the same}

1 is a block diagram showing the configuration of a target advertising system using the available product extraction according to an embodiment of the present invention,

2 is a functional block diagram showing the internal configuration of a DB server according to the present invention;

3 is a table of classification products according to the present invention,

4 is an operation flowchart showing a target advertisement method using a purchaseable product extraction according to an embodiment of the present invention;

5 is an operation flowchart showing a target advertisement method using a purchaseable product extraction according to another embodiment of the present invention;

6 is an operation flowchart showing a product extraction process of purchase priority according to the present invention;

7 is a flowchart illustrating a process of processing a request for consultation of a specific product according to the present invention.

<Explanation of symbols for the main parts of the drawings>

100: user terminal interface 200: web server

300: DB server 301: member information DB

302: terminal usage information DB 303: customer behavior information DB

304: basic product information DB 305: environment variable information DB

306: target advertisement information DB 307: purchase rate information DB

308: Advertising viewer rating information DB 309: Product click rate information DB

310: purchase preference product ranking information DB 311: customer purchase pattern information DB

312 Counseling / Survey Information DB 313: Commerce Information DB

400: application server 401: purchase preference product ranking module

402: customer purchase pattern extraction module 403: advertisement push providing module

404: product selection analysis module 405: customer consultation induction module

406: interactive transaction consultation module 407: commerce module

500: communication server 501: advertisement transmission server

600: counselor terminal interface

The present invention relates to a method and system for targeting advertisement using purchaseable product extraction, and more particularly, based on the personal information and customer behavior information of the customer, the product having high purchase priority is extracted for each customer, The present invention relates to a method and system for targeting advertisement using purchaseable product extraction that can effectively provide members with targeted advertisements in a push manner.

The present invention combines text, image, voice, communication, and video transmission technologies implemented on the Internet with multi-dimensional modeling techniques implemented on the server, and uses the data extracted through statistical processing for electronic commerce.

Recently, with the development of communication technology and the Internet, the number of companies providing various services using the Internet and communication technology has increased. As such, the services provided through the Internet range from information retrieval to electronic commerce.

In the case of the conventional e-commerce, when a company wanting to sell an item registers the item to be sold on a web server and requests the purchase from the users while providing the item information to the users connecting through a network (Internet) The way in which commerce through sales is achieved is common.

In the case of the electronic commerce, various methods such as auction, reverse auction, discount sale, and point accumulation are used according to the sales method.

In the conventional electronic commerce as described above, there is a problem in that the product information registered in the server can not be effectively provided with product information suitable for the characteristics and tastes of customers in a manner in which the user is organized by category so that the user can search through the search.

In other words, even though customers have preferred products they want to purchase according to their age, gender, taste, interests, and economic situation, the server provides a list of products by category uniformly, which makes them feel awkward in use. There is a problem that leads to degradation.

In addition, the conventional e-commerce as described above provides the general registered product information via email to the customers registered as members, rather than the product information according to the characteristics and tastes of the customers, so that most of the product information provided through the website is spammed. It is common to delete an advertisement and recognize it as an advertisement. Accordingly, the effect as a product advertisement is only minimal.

Accordingly, the present invention has been made to solve the above-mentioned conventional problems, and an object of the present invention is to extract products having a high purchase priority for each customer based on the personal information and behavior information of the customer, It is to provide a target advertising method and system using purchaseable product extraction to increase the purchase rate by providing customized product information for each customer by providing target advertisements that match the propensity to members. .

In addition, another object of the present invention is to determine the purchasing tendency of each customer by using the information accumulated by the customer and information accumulated through the purchase, survey, consultation, so that it can be used as marketing data, various purchasing tendencies of the customer And it provides a target advertising method and system using the available product extraction to enable the active response to market changes.

In order to achieve the above object, the present invention inputs personal information and product information of interest and registers, transmits terminal usage information by executing the loaded application, and transmits and receives product information, target advertisement, and various information related to commerce. A plurality of user terminal interfaces for; A web server connected to the user terminal interface through the Internet to provide corresponding product information and product advertisements as web pages according to user selection; DB server for storing the personal information, interest product information and behavior information of the member, and stores various information generated as a result of the member; Based on the personal information of the user terminal interface, interest product information and behavior information, the product ranking is preferred to purchase, and the product information is provided through the web server or the terminal interface, and a target advertisement to which environment variable information is applied is generated. An application server for transmitting to a specific user terminal interface through a communication server; And a communication server for pushing and transmitting a target advertisement provided from the application server to a specific user terminal interface.

The present invention for achieving the above object, the step of performing the member authentication of the user attempting to access the user terminal interface; Extracting products of a purchase priority of a user who has performed the member authentication; Providing the user terminal interface user with list information of the extracted products of the purchase priority; Determining whether there is a purchase request among products provided to the user terminal interface user; If there is a purchase request in the above step, after performing a commerce process through payment, the purchase data is stored in the corresponding area, and if there is no purchase request, a target advertisement corresponding to the personal information and the interested product information input by the user terminal interface user Providing a; Determining whether an advertisement is selected from the user terminal interface user who has seen the target advertisement; Terminating when the user is logged out without selecting the target advertisement, and determining whether a purchase request for a product included in the target advertisement is received when the target advertisement is selected; And when the logout is terminated without the purchase request of the product included in the target advertisement, and if there is a purchase request, performing a commerce process through payment and storing the purchase data in the corresponding area. It provides a target advertising method using the extraction.

The present invention for achieving the above object, the step of transmitting a target advertisement to the specific user terminal interface corresponding to the request to accept the target advertisement; Performing member authentication of the user who saw the target advertisement attempting to access the user terminal interface; Extracting products of a purchase priority of a user who has performed the member authentication; Providing the user terminal interface user with list information of the extracted products of the purchase priority; Determining whether there is a purchase request among products provided to the user terminal interface user; If there is a purchase request in the above step, after performing a commerce process through payment, storing the purchase data in a corresponding area, and if there is no purchase request, providing a target advertisement transmitted to the user terminal interface user through the terminal interface; Determining whether an advertisement is selected from the user terminal interface user who has seen the target advertisement; Terminating when the user is logged out without selecting the target advertisement, and determining whether a purchase request for a product included in the target advertisement is received when the target advertisement is selected; And when the logout is terminated without the purchase request of the product included in the target advertisement, and if there is a purchase request, performing a commerce process through payment and storing the purchase data in the corresponding area. It provides a target advertising method using the extraction.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In addition, in describing the present invention, when it is determined that the detailed description of the related well-known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a block diagram showing the configuration of a target advertising system using the available product extraction according to a preferred embodiment of the present invention.

As shown in FIG. 1, the target advertisement system using the purchaseable product extraction according to the preferred embodiment of the present invention includes a plurality of user terminal interfaces 100, a web server 200, a DB server 300, and an application server. 400, a communication server 500, and a plurality of counselor terminal interfaces 600.

The plurality of user terminal interfaces 100 input personal information and product information of interest, register members, and transmit terminal usage information by executing mounted applications, and transmit and receive product information, target advertisements, and various kinds of information related to commerce.

In this case, the terminal usage information includes the usage time of the user terminal interface 100, the type and time of use of the program, the type of website visited and the time of stay.

Here, the user terminal interface 100 may be a personal computer (PC), a workstation, a portable communication terminal (PCS, PHS), a portable information terminal (PDA), a set-top box, a digital television, a web phone, which has a wired or wireless Internet connection. It includes.

On the other hand, when the system to which the user terminal interface 100 is applied is changed and applied to a target advertisement system that provides information related to real estate or job listings from the purchaseable product extraction information, it is input through the user terminal interface 100. In case of real estate, information on real estate such as apartments, houses, coalitions, multi-family houses, malls, and multi-residents is replaced with information on housing locations where the real estate is located, and prices on rent, lease, and sales. In the case of job seekers, the job seekers are replaced with job search information including regional setting, pay condition setting, job setting, and working condition.In the case of job applicants, the company name, work area setting, pay condition setting, It can be replaced with job offer information including job setting, working conditions, etc.

When the real estate or job listing information is replaced as described above, the user terminal interface 100 may transmit and receive various types of information related to real estate or job listing according to respective input conditions. In addition, the user terminal interface 100 may be a user interface used by an individual or a user interface used by a recruitment company.

In addition, the web server 200 is connected to the user terminal interface 100 through the Internet and provides corresponding product information and product advertisements as web pages according to user selection.

Here, when the web server 200 is applied to a target advertisement system that provides information related to real estate or job listings, the web server 200 may correspond to the real estate or job listing information and real estate or job advertisements according to user selection. Will be provided as a web page.

Next, the DB server 300 stores the member's personal information, interest product information, and behavior information, and stores various information generated as a result of the member's performance.

2 is a functional block diagram showing the internal configuration of a DB server according to the present invention.

As shown in FIG. 2, the DB server 300 includes a member information DB 301, a terminal usage information DB 302, a customer behavior information DB 303, a basic product information DB 304, and an environment variable information DB. 305, target advertisement information DB 306, purchase rate information DB 307, advertisement viewership information DB 308, product click rate information DB 309, purchase preference product ranking information DB 310, customer purchase pattern information DB 311, consultation / survey information DB 312, and commerce information DB 313.

The member information DB 301 stores the personal information related to the user's identity and the product of interest of the member for each member, and the terminal usage information DB 302 uses the user time of the user terminal interface 100 and a user program. The type and time of use, the type of website visited, and the time of stay for each member, and the customer behavior information DB 303 stores information such as purchase, inquiry, and counseling according to the provision of product information or target advertisement. Save for each member.

In addition, the basic product information DB 304 stores a plurality of product information to be provided to the user of the user terminal interface 100, the environment variable information DB 305 is applied to the push delivery of the target advertisement by time, Stores environment variable information for each day such as day, season / weather, world cup or christmas, and the target advertisement information DB 306 stores a plurality of target advertisement information for providing to the user of the user terminal interface 100. do.

The purchase rate information DB 307 stores various purchase rate information classified according to a member's product purchase, and the advertisement rating information DB 308 classified and extracted according to the target advertisement viewing number of the member. The product click-through rate information DB 309 stores various product click-through rate information classified and extracted according to the number of product clicks of a member, and the purchase preference product rank information DB 310 stores purchase rate information and advertisement rating information of the product. Based on the statistics, the purchase rank of the product extracted through statistics is stored.

In addition, the customer purchase pattern information DB 311 stores the purchase pattern extracted for each member based on the product purchase, the consultation / survey information DB 312 is generated in accordance with the consultation or survey performed to the member Information is stored, and the commerce information DB 313 stores purchase data information generated according to a member's product purchase.

On the other hand, when the DB server 300 is applied to a target advertising system that provides information related to real estate or job listings, the DB server 300 is the member's personal information and interest information and behavior of real estate or job listings It stores the information, and stores various information related to real estate or job listings that occur as a result of the member.

As described above, the DB server, which is changed and applied to the target advertisement system that provides information related to real estate or job listings, stores members' personal information related to a member's personal information and interest information related to the real estate or job listings for each member. An information DB, a terminal use information DB for storing the use time of the user terminal interface 100, the type and time of use of the program, the type of website visited, and the time of stay for each member; According to the provision of the customer behavior information DB for storing the member's response information, such as real estate transaction application, job application, inquiry of real estate or job listings, consultation of real estate or job listings for each member, and the user terminal interface 100 to the user Real estate or job listings DB to store real estate information and job listings to provide, and target advertising An environment variable information DB for storing environment variable information for each time, day of the week, season / weather, and event for application to push transmission of a target, and a target advertisement related to real estate or job offer for the user terminal interface 100 user Real estate transaction application relay rate and job listings that store target advertisement information DB of real estate or job offer, and various real estate transaction application relay rate information and job application rate information extracted according to the member's real estate transaction application or job application application DB application rate information DB, real estate or job advertisement rating information DB for storing the real estate or job advertisement viewer rating information extracted by classifying according to the member's target advertisement view number related to the real estate or job, and the member related to real estate or job search Various real estate or job openings classified by number of clicks Real estate or job listings that store the clickthrough rate information of the real estate or job listings, and the real estate or job listings that are extracted through statistics based on the real estate transaction application rate or job application rate information and advertisement rating information Or a priority pattern information DB for job listings, a preference pattern information DB for storing real estate or job-pattern preference patterns extracted for each member based on the real estate transaction application rate or job application rate, and real estate performed to members. Or a real-time or job-seeking DB for real estate or job listings that store information generated through consultations or surveys related to job search, and real-time or job-saving jobs that store relaying information resulting from membership applications and job application applications. It may be composed of a relay information DB.

This is configured by replacing the contents of each of the information DB of the DB server 300 as shown in Figure 2 with the configuration of the real estate or job-related content.

Here, the real estate transaction application relay rate is the application relay rate that occurs when the user terminal interface 100 user obtains real estate information and requests to relay a transaction with the real estate store for rent, lease, sale, and the like. The job application rate refers to a rate that occurs when a user of an individual or company using the user terminal interface 100 applies for a job offer and hires an employee through job application.

For example, it may include the download of a job application, application for admission, notification of acceptance, job re-announcement, additional job offer, and the like.

The application server 400 extracts a product ranking preferred to purchase based on personal information, interest product information, and behavior information of the user of the user terminal interface 100, and provides product information through the web server 200 or the terminal interface. Provides a target advertisement to which the environment variable information is applied, and transmits the generated advertisement to the specific user terminal interface 100 through the communication server 500.

In this case, the environment variable information includes information per event such as hourly, day of the week, season / weather, world cup or christmas.

In addition, the advertisement push of the target advertisement may be one of an email, a short messaging service (SMS), a multimedia messaging service (MMS), a phone call, a video, and a direct mail (DM), and the present invention is not particularly limited thereto. It should be understood that a transmission technology capable of pushing an advertisement at the technology level of is used.

Here, the application server 400, as shown in Figure 1, the purchase preference product ranking extraction module 401, customer purchase pattern extraction module 402, advertising push providing module 403, the product selection analysis module 404, a customer consultation induction module 405, an interactive transaction consultation module 406, and a commerce module 407.

The purchase preference product ranking extraction module 401 sets a purchase ranking of the product by statistical processing based on the purchase rate information of the product, the advertisement viewer rating information, and the product click rate, and the customer purchase pattern extraction module 402 purchases the product for each member. Purchasing pattern is extracted through statistical processing of.

In addition, the advertisement push providing module 403 generates a target advertisement to which the environmental variable information is applied and provides it to the communication server 500, the offer product selection analysis module 404 is the screen or application of the web server 200 A module processes the number of times a specific product is selected from the product information provided to the user terminal interface 100 through the module, and the customer consultation induction module 405 provides products having a high purchase rank to the user terminal interface 100 user. To induce customer consultation to obtain detailed information of the product.

In addition, the interactive transaction counseling module 406 searches for a counselor terminal interface 600 of the specific product and relays a connection when the user terminal interface 100 requests a consultation about a specific product, and the commerce module 407. ) Stores the purchase data which is the purchase and payment performance information according to the product purchase of the user of the user terminal interface 100.

Meanwhile, when the application server 400 is changed and applied to a target advertisement system that provides information related to real estate or job placement, the application server 400 may store personal information and real estate of the user of the user terminal interface 100. Or extract priority of real estate and job search based on interest information and behavior information of job openings and provide information on real estate or job opening through the web server 200 or the terminal interface, and based on user input information. Then, the target advertisement related to the real estate or job offer to which the environment variable information is applied is generated and transmitted to the corresponding user terminal interface 100 through the communication server 500.

As described above, the application server 400 applied to the target advertisement system for providing information related to real estate or job listings may include real estate relay rate or job offer rate information according to a real estate transaction application and job offer rate information. Real estate or job search priority extraction module to set the priority related to real estate or job search by statistical processing based on the advertisement viewership information of the user and the clickthrough rate of the job or job opening, and statistical processing of real estate or job search by member Real estate or job search preference pattern extraction module for extracting patterns, advertisement push providing module for generating a target advertisement related to real estate or job offer to the communication server, real estate or job offer to the user terminal interface user through the screen of the web server The above specific information is selected among job search information Consultation for obtaining detailed information of the specific information by presenting real estate or job search selection analysis module for statistically processing the number of times and information related to real estate or job search with a high priority for real estate or job search to the user terminal interface user; A customer counseling induction module for guiding a user, an interactive counseling module for searching for a counselor terminal interface related to the real estate or job listing and relaying a connection when a user requests a consultation about the real estate or job listing related information of the user terminal interface; User terminal interface When a real estate transaction application and job application application for a user's real estate or job listings, a real estate or job listing relay module relays a real estate transaction application and a job application application to the real estate business and the corresponding company.

This is configured by replacing each module configuration of the application server 400 as shown in FIG. 1 with various application processing modules related to real estate or job openings.

Here, the real estate relay rate refers to a rate at which the user terminal interface 100 user obtains real estate information and requests to relay a transaction with a real estate agency for rent, lease, and sale.

In addition, the communication server 500 transmits the target advertisement provided from the application server 400 to a specific user terminal interface 100.

Here, the communication server 500 transmits a target advertisement to the plurality of user terminal interfaces 100, and provides a plurality of advertisement transmission servers 501 to provide information of a consultation request member to the plurality of counselor terminal interfaces 600. It is preferable that it is configured to include.

On the other hand, when the communication server 500 is applied to the target advertising system for providing information related to real estate or job listings, the communication server 500 from the application server 400 associated with the real estate or job listings The target advertisement related to the provided real estate or job is pushed and transmitted to a specific user terminal interface.

Next, the plurality of counselor terminal interfaces 600 may be used when the user of the user terminal interface 100 requests a consultation on a specific product through a screen or an application module provided through the web server 200. Connect with 100) to provide counseling and counseling materials.

On the other hand, when the counselor terminal interface 600 is changed and applied to a target advertisement system that provides information related to real estate or job placement, the counselor terminal interface 600 may be configured as a user of the user terminal interface 100. When requesting a counseling in connection with job listings, the user terminal interface 100 is connected to perform interactive counseling to provide detailed information related to the real estate or job listing.

In addition, two-way consultation is performed between the user terminal interface 100 and the counselor terminal interface 600 through video communication, telephone, messenger, etc. The main contents of the two-way consultation include product information, real estate related information, and job listings. It should be understood that the present invention is not limited to a specific content such as related information but is variously applied according to the applied technology.

Then, with reference to the accompanying drawings for the target advertising method using the available product extraction according to an embodiment of the present invention having the above configuration will be described. Hereinafter, in describing the target advertisement method according to the present invention, a target advertisement method using a purchaseable product extraction will be described as an example, which is not limited thereto, and the target advertisement method is applied to real estate or job listings, and so on. It will be readily understood by one skilled in the art that the method can be implemented.

The target advertisement method using the purchaseable product extraction according to the present invention first performs a user registration process.

Users using the user terminal interface 100 access the web server 200 or the application server 400 when registering for membership, name, gender, age, child age, occupation, address, mobile phone model, car type, computer model, etc. Input personal information, including the product information of interest provided from the product information provided by the web server 200 or the application server 400.

At this time, the item of interest information may select several items within a limited number of ranges.

For example, car accessories, automobiles, travel | gift certificate services, books | records | musical instruments, hobbies | collection, industrial goods, food | farms and livestock products, health | health food, kitchen | household goods, computers, digital appliances | games, shoes | Bags | Goods, Clothing, Sports | Leisure, Cellphone, Video | Acoustic | Household Appliances, Jewelry | Watch, Cosmetics | Perfume, Maternity | Toys | Children's Goods, Infant | Children's Clothing, Furniture | Bedding | Interior | It can be added, deleted, and modified.

An example of the use of selecting a detailed item according to the age group, occupation, gender, and child age at the time of member registration is as follows.

Use Example 1 If a man with an accounting profession in his 40s chooses health | health items and computers as his / her interests, an advertisement related to health | health foods considering the occupation, age and number of children can be presented.

For example, foot health supplies, massagers, massage chairs, steamers, baths, weight scales, thermometers, infrared / low frequency therapies, blood pressure monitors, blood sugar meters, cupping machines / blood needles, medical / silver supplies, health bracelets, joint protection supplies, health supplies And to view detailed product advertisements according to user selection.

Usage example 2) If you are a housewife in your 40s and have a child, continue to present detailed items such as cosmetics, women's clothing, health foods, travel services, etc. And the like.

Use Example 3 When a medical clinic opens in Garak-dong, Seoul, the relevant advertisement may be provided as a target advertisement for adults who live in Garak-dong over 40s.

Use Example 4 When the cram school is opened in Garak-dong, Seoul, the opening of the cram school advertisement can be provided as a target advertisement to all customers who have children living in Garak-dong.

Use Example 5 When an advertiser requests an automobile product advertisement, a target advertisement may be provided to all customers who have a vehicle.

Use case 6) Kindergarten, gifted education, recommendation books (fairy tale book, great man's exhibition, common sense, animation, toys, study paper information, etc.) for children aged 0-7 years depending on their children's age (the age increases with time) when entering personal information. ).

In addition, for 8-13 years old, elementary school and elementary school students must read the books (fairy tale book, great man exhibition, science common sense, etc.), school, and study paper. Can be provided.

3 shows a classification table according to the present invention.

From the second login after the member registration as described above, the terminal usage information including the usage time of the user terminal interface 100, the type and time of use of the program, the type of website visited, and the residence time according to the operation of the mounted application. Is provided to the web server 200 or the application server 400, the two servers (200, 400) is stored in the DB of the DB server 300 through the statistical analysis process of the input terminal usage information.

4 is a flowchart illustrating a target advertisement method using a purchaseable product extraction according to an embodiment of the present invention.

First, member authentication of a user who attempts to access the user terminal interface 100 is performed (S11), and then, products of a purchase priority of the user who has performed the member authentication are extracted (S12).

6 is an operation flowchart showing a product extraction process of purchase priority according to the present invention.

As shown in FIG. 6, the product extraction step of the purchase priority may include various purchase rates stored in the purchase rate information DB 307 of the DB server 300 by the purchase preference product ranking module 401 of the application server 400. The information is processed for all statistics (S51).

Here, the various purchase rate information is the purchase rate when presenting the product classification advertisement selected at the time of subscription, the purchase rate when presenting the product classification advertisement according to occupation, the purchase rate when presenting the product classification advertisement according to age, the purchase rate when presenting the product classification advertisement according to the child's age, and whether or not there is a PC Purchasing rate when presenting product classification advertisement according to, purchase rate when presenting product classification advertisement with or without car, purchase rate when presenting product classification advertisement with or without mobile phone, purchase rate when presenting product advertisement on shopping mall and price presentation site, and visiting website When presenting a product advertisement from a shopping mall or a price comparison site, it is preferable that the combination consists of at least one or more of purchase rates.

Subsequently, the purchase preference product ranking extracting module 401 extracts the purchase rate ranking of the product advertisement presentation based on the ranking of the purchase rate information processed for the whole statistics (S52).

In this case, the extracted purchase rate ranking alone may be set as a purchase priority of a product.

Next, the purchase preference product ranking extracting module 401 of the application server 400 performs overall statistics on various advertisement rating information stored in the advertisement rating information DB 308 of the DB server 300 (S53).

Here, the information on the advertisement ratings of the above advertisements is based on the advertisement viewer rating when the product classification advertisement selected at the time of subscription is presented, the advertisement viewer rating when the product classification advertisement is presented according to the occupation, the advertisement viewer rating when the product classification advertisement is presented according to the age, and the product classification advertisement according to the children's age. Advertisement viewership, Advertisement viewership when presenting product classification ads with or without PC, Advertisement viewership when presenting product classification ads with or without car, Advertisement viewership rating when presenting product classification ads with or without mobile phone, Product viewed on shopping malls and price-presenting sites At the time of presenting the advertisement, it is preferable that the combination is composed of at least one or more of the advertisement viewership when presenting the product advertisement from the visited website (shopping mall or price comparison site).

Subsequently, the purchase preference product ranking extraction module 401 extracts the advertisement viewer rating ranking of the product advertisement presentation based on the ranking of the advertisement viewer rating information which has been processed in total statistics (S54).

In this case, the extracted advertisement viewership ranking alone may be set as a purchase priority of a product.

Next, the purchase preference product ranking extraction module 401 of the application server 400 performs overall statistics on various product click rate information stored in the product click rate information DB 309 of the DB server 300 (S55).

Here, the product click rate information of the product is the product clicks when presenting the product classification advertisement selected at the time of registration, the product clicks when the product classification advertisement is presented according to the occupation, the product clicks when the product classification advertisement is presented according to the age, and the product classification advertisement according to the children's age Product clicks when presenting, Product clicks when presenting advertisement for PC classification, Product clicks when presenting advertisement for product classification with or without car, Product clicks when presenting advertisement for product classification with or without mobile phone, Shopping mall and It is preferable that a combination of at least one or more of the number of product clicks when presenting the product advertisement from the visiting website (shopping mall or price comparison site) when presenting the product advertisement viewed on the price presentation site.

Subsequently, the purchase preference product ranking extracting module 401 extracts the product click rate ranking of the product advertisement presentation based on the ranking of the product click rate information which has been processed in total statistics (S56).

In this case, the extracted product click rate ranking may be set as a purchase priority of the product.

Next, the purchase preference product ranking extraction module 401 performs a statistical process by assigning weights of the purchase priority to the purchase rate ranking, the advertisement viewer rating ranking, and the product click rate ranking extracted through the comprehensive statistical processing, and accordingly purchase priority. The product of the ranking is extracted (S57).

In this case, the weight of the purchase priority is a product having a purchase rate among the purchase rate rank, the advertisement viewer rating rank, and the product click rate rank as priority, and if there is no purchase rate, the advertisement viewership rating is as the next priority, and the product click rate is prioritized next. It is preferable to set to. In addition, the weight of the purchase priority may be applied by quantifying the weight according to the operator's selection.

Next, the list information of the extracted products of the purchase priority is provided to the user through the screen of the user terminal interface 100 connected (S13).

In this case, the products having a high purchase priority provided through the user terminal interface 100 may be provided as list information. In this case, the detailed information of the product selected according to the selection of the product according to the user's operation, that is, the product Images, product prices, product descriptions, payment methods, and the like may be provided.

Meanwhile, products having a high purchase priority provided through the user terminal interface 100 screen may be provided as a single product in which a product image and a product price are displayed in addition to the list information. In this case, selection according to a user's operation As the next product information is displayed, detailed information such as a product description and a payment method is made according to a user selection.

Next, it is determined whether there is a purchase request among products provided to the user terminal interface 100 (S14).

In this case, if there is a purchase request in step S14, after performing a commerce process through payment, the purchase data is stored in a corresponding area, and if there is no purchase request, the personal information input by the user of the user terminal interface 100 The target advertisement corresponding to the product information of interest is provided (S15).

Next, it is determined whether an advertisement is selected from the user of the user terminal interface 100 who has viewed the target advertisement (S16).

In this case, when the user logs out without selecting the target advertisement, the user ends. When the target advertisement is selected, it is determined whether or not there is a request for purchasing the product included in the target advertisement (S18). If the logout is terminated without, and if there is a purchase request, after performing the commerce process through payment (S19).

In the meantime, when the target advertisement is selected, a survey according to the target advertisement may be performed, and the survey data answered by the user may be stored in the corresponding area (S17). Alternatively, the advertisement may be separately performed according to the user's selection during the provision of the target advertisement, or may be performed after the commerce process through the purchase.

On the other hand, Figure 5 is a flow chart illustrating a target advertising method using the available product extraction according to another embodiment of the present invention.

First, the target advertisement is transmitted to the specific user terminal interface 100 to request the target advertisement acceptance (S31).

Next, the user who has accepted the target advertisement performs member authentication of the user who has seen the target advertisement attempting to access the user terminal interface 100 (S32), and the purchase priority of the user who has performed the member authentication. Extract the goods (S33).

6 is an operation flowchart showing a product extraction process of purchase priority according to the present invention.

As shown in FIG. 6, the product extraction step of the purchase priority may include various purchase rates stored in the purchase rate information DB 307 of the DB server 300 by the purchase preference product ranking module 401 of the application server 400. The information is processed for all statistics (S51).

Here, the various purchase rate information is the purchase rate when presenting the product classification advertisement selected at the time of subscription, the purchase rate when presenting the product classification advertisement according to the occupation, the purchase rate when presenting the product classification advertisement according to the age, the purchase rate when presenting the product classification advertisement according to the age of the child, and PC Purchase rate when presenting product classification advertisement according to product classification, purchase rate when presenting product classification advertisement based on the presence or absence of car, purchase rate when presenting product classification advertisement according to the presence or absence of mobile phone, purchase rate when presenting product advertisement on shopping mall and price presentation site, and visiting website ( At the time of presenting the product advertisement from the shopping mall or price comparison site), it is preferable that the combination is composed of at least one or more of the purchase rate.

Subsequently, the purchase preference product ranking extracting module 401 extracts the purchase rate ranking of the product advertisement presentation based on the ranking of the purchase rate information processed for the whole statistics (S52).

In this case, the extracted purchase rate ranking may be set as a purchase priority of a product.

Next, the purchase preference product ranking extracting module 401 of the application server 400 performs overall statistics on various advertisement rating information stored in the advertisement rating information DB 308 of the DB server 300 (S53).

Here, the information on the advertisement ratings of the above advertisements is based on the advertisement viewer rating when the product classification advertisement selected at the time of subscription is presented, the advertisement viewer rating when the product classification advertisement is presented according to the occupation, the advertisement viewer rating when the product classification advertisement is presented according to the age, and the product classification advertisement according to the children's age. Advertisement viewership, Advertisement viewership when presenting product classification ads with or without PC, Advertisement viewership when presenting product classification ads with or without car, Advertisement viewership rating when presenting product classification ads with or without mobile phone, Product viewed on shopping malls and price-presenting sites At the time of presenting the advertisement, it is preferable that the combination is composed of at least one or more of the advertisement viewership when presenting the product advertisement from the visited website (shopping mall or price comparison site).

Subsequently, the purchase preference product ranking extraction module 401 extracts the advertisement viewer rating ranking of the product advertisement presentation based on the ranking of the advertisement viewer rating information which has been processed in total statistics (S54).

In this case, the extracted advertisement viewer rating ranking may be set as a purchase priority of a product.

Next, the purchase preference product ranking extraction module 401 of the application server 400 performs overall statistics on various product click rate information stored in the product click rate information DB 309 of the DB server 300 (S55).

Here, the product click rate information of the product is the product clicks when presenting the product classification advertisement selected at the time of registration, the product clicks when the product classification advertisement is presented according to the occupation, the product clicks when the product classification advertisement is presented according to the age, and the product classification advertisement according to the children's age Product clicks when presenting, Product clicks when presenting advertisement for PC classification, Product clicks when presenting advertisement for product classification with or without car, Product clicks when presenting advertisement for product classification with or without mobile phone, Shopping mall and It is preferable that a combination of at least one or more of the number of product clicks when presenting the product advertisement from the visiting website (shopping mall or price comparison site) when presenting the product advertisement viewed on the price presentation site.

Subsequently, the purchase preference product ranking extracting module 401 extracts the product click rate ranking of the product advertisement presentation based on the ranking of the product click rate information which has been processed in total statistics (S56).

In this case, the extracted product click rate ranking may be set as a purchase priority of the product.

Next, the purchase preference product ranking extraction module 401 performs a statistical process by assigning weights of the purchase priority to the purchase rate ranking, the advertisement viewer rating ranking, and the product click rate ranking extracted through the comprehensive statistical processing, and accordingly purchase priority. The product of the ranking is extracted (S57).

In this case, the weight of the purchase priority is a product having a purchase rate among the purchase rate rank, the advertisement viewer rating rank, and the product click rate rank as priority, and if there is no purchase rate, the advertisement viewership rating is as the next priority, and the product click rate is prioritized next. It is preferable to set to. In addition, the weight of the purchase priority may be applied by quantifying the weight according to the operator's selection.

Next, the list information of the extracted purchase priority items is provided to the user through the screen of the user terminal interface 100 connected (S34).

Here, the products having a high purchase priority provided through the user terminal interface 100 screen may be provided as list information or as a single product in which a product image and a product price are displayed.

In this case, when products having high purchase priority are provided as list information, detailed information of the selected product according to the selection of the product according to the user's operation, that is, a product image, a product price, a product description, a payment method, etc. may be provided. .

On the other hand, when products with high purchase priority are provided as a single product displaying a product image and a product price, the following product information is displayed on the screen by selection by a user's operation, and details such as a product manual and a payment method The information is made according to the user's choice.

Next, it is determined whether there is a purchase request among products provided to the user through the screen of the user terminal interface 100 (S35).

In this case, if there is a purchase request in step S35, after performing a commerce process through payment, the purchase data is stored in a corresponding area, and if there is no purchase request, the target advertisement transmitted to the user of the user terminal interface 100 is displayed. Provided through the terminal interface (S36).

Subsequently, it is determined whether an advertisement is selected from the user of the user terminal interface 100 who has viewed the target advertisement (S37).

In this case, when the user is logged out without selecting the target advertisement, the process is terminated. When the target advertisement is selected, it is determined whether there is a request for purchasing the product in the target advertisement (S39), and the purchase request for the product in the target advertisement is determined. If the logout is terminated without, and if there is a purchase request, after performing the commerce processing through payment (S40).

In the meantime, when the target advertisement is selected, a survey according to the target advertisement may be performed, and the survey data answered by the user may be stored in the corresponding area (S38). Alternatively, the advertisement may be separately performed according to the user's selection during the provision of the target advertisement, or after the commerce process through the purchase.

7 is a flowchart illustrating an operation process when a user requests a consultation about a specific product in the target advertisement method using the purchaseable product extraction according to FIGS. 4 to 6.

First, when a consultation request is made for a specific product among the product information provided to the user terminal interface 100 user, detailed data on the specific product for which the consultation request is made are provided (S61), and then the detailed data of the specific product is displayed. In response to the offer, the consultation data replied by the user is stored in the corresponding area (S62).

Here, in the providing of detailed data on the specific product (S61), the counselor terminal interface 600 used by the searched counselor searching for the counselor of the specific product for which the consultation request is made before providing the detailed data is used, and the user terminal. And connecting to interface 100.

Here, the counselor terminal interface 600 may be one of a telephone, a PDA, a personal computer, a mobile phone, and an image system. The counselor using the counselor terminal interface 600 may include basic customer information, purchase priority, and purchase pattern. In addition, the purchase price, the survey, and the analyzed seasonal monthly total analysis data are used to induce customers' purchase motivation with the data that influence the purchase, thereby increasing the likelihood of purchase.

That is, the counselor explains the product information and, if the purchase is not made, presents the product with the highest purchase price based on the customer information already provided. For example, a customer may present a product at a product price that has been purchased or present an event product at that time, thereby increasing the likelihood of purchase.

Next, it is determined whether there is a purchase request for the specific product in which the consultation is performed (S63), and when the user is logged out without a purchase request for the specific product in which the consultation is completed, the transaction is terminated when there is a purchase request. After performing the store the purchase data in the area (S64).

Three types of information can be generated and stored for each individual customer from the information accumulated through the above process and fed back several times to reduce the occurrence error, and this information can be effectively used for the target advertisement and the marketing strategy for each product.

First, the classification by the first purchase rate is as follows.

* Purchase rate when presenting product classification ads selected at sign up

* Purchase rate when product classification advertisement is presented according to occupation

* Purchase rate when presenting product classification ads by age

* Purchase rate when presenting product classification ads according to their children's age

* Purchase rate when product classification advertisement is presented based on PC presence

* Purchase rate when product classification advertisement is presented based on the presence of car

* Purchase rate when product classification advertisement is presented based on the presence of mobile phone

* Purchase rate when the product advertisement is presented in shopping mall and price suggestion site

* Purchase rate when showing product ads from a visited website (shopping mall or price comparison site)

In the case of processing the entire statistics using the information of the DB server 300, the purchase rate is stored, 1) the most clicked products 2) the most stayed products 3) the most viewed products 4) the most purchased products If such information is extracted, and presenting the above product information to customers by advertising,

* Purchase rate when showing the most clicked product ads

* Purchase rate when presenting the most advertised product

* Purchase rate when advertising the most viewed products

* When presenting the most advertised product advertisement, information such as purchase rate is extracted.

Since the above information can be arranged by the factor of purchase rate for each individual, the order of product advertisement presentation can be determined in this order.After accumulating a lot of information, the above order is set in the environment variable by the result obtained through regression analysis. Allows you to adjust the order in which your ads are presented.

Next, the second advertisement is classified by the number of times it is viewed (for example, in order to obtain a product ranking of customers who have not made a purchase).

* Ad viewership when presenting product classification ads selected at sign up

* Ad viewership rate when presenting product classification ads by job

* Ad viewership when presenting product classification ads by age

* Ad viewership when presenting product classification ads based on their child's age

* Ad viewership rate when presenting product classification ads based on PC presence

* Ad viewership rating when presenting product classification ads based on car presence

* Ad viewership rating when presenting product classification ads based on the presence of mobile phones

* Ad viewership rate when presenting product advertisements in shopping malls and price-suggesting sites

* Ad viewership when presenting product ads from a visited website (such as a mall or price comparison site)

In the case of processing the total statistics by using the information of the DB server 300 stored the above viewer rating, 1) the most clicked products 2) the most stayed products 3) the most viewed products 4) the most purchased products If such information is extracted, and presenting the above product information to customers by advertising,

* Ad viewership when presenting the most clicked product ad

* Ad viewership when presenting the most advertised product

* Ad viewership when presenting the most viewed product ads

* When presenting the most advertised product advertisement, information such as purchase rate is extracted.

Since the above information can be sorted by individual viewers, the order of advertisement presentation can be determined in this order.After a lot of information is accumulated, the above presentation order is set in environment variables based on the results obtained through regression analysis. Allows you to adjust the order in which your ads are presented.

Next, the third is classified by the number of product clicks (for example, to obtain the product rank of the purchase rank of customers who have not made a purchase).

* Number of product clicks when presenting product classification ads selected at sign up

* Product clicks when presenting product classification ads by occupation

* Product clicks when presenting product classification ads by age

* Product clicks when presenting product classification ads based on their child's age

* Product clicks when presenting product classification advertisement based on PC presence

* Number of product clicks when presenting product classification ads based on the presence of cars

* Number of product clicks when presenting product classification ads based on the presence of a mobile phone

* Number of product clicks when presenting product advertisements on shopping malls and pricing sites

* Product clicks when presenting product ads from a visited website (shopping mall or price comparison site)

In the case of processing the entire statistics by using the information of the DB server 300, the click rate is stored 1) the number of product clicks when presenting the product clicks the most clicks 2) the number of product clicks when presenting the product advertisements most stayed 3) Product clicks when the most viewed product advertisement is presented 4) Information such as the number of product clicks is extracted when the most purchased product advertisement is presented, and the above product information is presented to the customers as an advertisement.

* Product clickthrough rate when showing your most clicked product ads

* Product clickthrough rate when listing your most advertised product

* Product clickthrough rate when presented with the most viewed product ads

* Information such as product click rate is extracted when the most advertised product advertisement is presented.

Since the above information can be sorted by individual factor of product click-through rate, the order of advertisement presentation can be determined in this order.After a lot of information is accumulated, the above presentation order is set in environment variables by the result obtained through regression analysis. Allows you to adjust the order in which your ads are presented.

Next, the fourth is a case in which the purchase rate, the advertisement viewership rate, and the product click rate are combined. 1) A product having a purchase rate is given priority, and if there is no purchase rate, the advertisement viewing rate is given priority and the product click rate is given in the following order.

2) The remaining products that are not in the above items can be ordered in the order of the weighted items already obtained from the overall statistics.

As described above, the present invention can be applied by replacing the product information with information related to real estate or job listings, as well as the target advertisement method and system using the available product extraction related to product information as illustrated. In the case of applying the information related to such a real estate or job listings, it is possible to easily implement each component function of the system shown in FIG. 1 or FIG.

Although the present invention has been described in more detail with reference to several embodiments, the present invention is not necessarily limited to these embodiments, and various modifications can be made without departing from the spirit of the present invention. Therefore, the protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope will be construed as being included in the scope of the present invention.

As described above, according to the target advertisement method and system using the purchaseable product extraction according to the present invention, a product having a high purchase priority for each customer is extracted based on the personal information and the customer behavior information of the customer, and the characteristics and propensity of the customer. By providing the targeted advertisements to members in a push manner, it effectively provides a variety of product information that is tailored to customers, and increases the purchase rate through it, thereby enabling the activation of e-commerce.

In addition, service providers can use the information accumulated by customers and statistics accumulated through purchases, surveys, and consultations to identify purchasing tendencies for each customer and use them as marketing data. There is an effect of increasing revenue through commissions.

In addition, the advertising provider can increase the advertising effect by providing his own advertising according to the characteristics and propensity of the customer, the member can be effectively provided only the ads that are relevant to him.

In addition, the present invention has the effect of being able to actively respond to the customer's various purchasing tendencies and market changes for each customer.

Claims (35)

A plurality of user terminal interfaces for inputting and registering personal information and product information of interest and transmitting terminal usage information by executing the loaded application, and for transmitting and receiving product information and various kinds of information related to a target advertisement and commerce; A web server connected to the user terminal interface through the Internet to provide corresponding product information and product advertisements as web pages according to user selection; DB server for storing the personal information, interest product information and behavior information of the member, and stores various information generated as a result of the member; The web server or terminal interface may be extracted by statistically processing purchase rate information, advertisement viewing rate information, and product click rate of a product extracted from personal information, interest product information, and behavior information of the user terminal interface. An application server for providing product information through a target advertisement to which environment variable information is applied, and transmitting the generated advertisement to a specific user terminal interface through a communication server; And A communication server for pushing a target advertisement provided from the application server to a specific user terminal interface; Including; The application server is a purchase preference product rank extraction module for setting the purchase rank of the product by statistical processing based on the product purchase rate information, the advertisement viewer rating information and the product click rate; A customer purchase pattern extraction module for extracting a purchase pattern through statistical processing of product purchase for each member; An advertisement push providing module for generating a target advertisement to which environment variable information is applied and providing the same to the communication server; A product selection analysis module for statistically processing the number of times a specific product is selected from the product information provided to the user terminal interface user through the screen of the web server; And A commerce module for storing purchase and payment performance information according to a product purchase of the user terminal interface user; Target advertising system using the available product extraction, characterized in that it comprises a. The method of claim 1, A plurality of counselor terminal interfaces for providing counseling performance and providing counseling data by accessing the user terminal interface when a user of the user terminal interface requests a consultation about a specific product through a screen provided through the web server or a terminal interface; Targeted advertising system using a purchaseable product extraction further comprising. delete The method of claim 2, The application server is a purchase preference product rank extraction module for setting the purchase rank of the product by statistical processing based on the product purchase rate information, the advertisement viewer rating information and the product click rate; A customer purchase pattern extraction module for extracting a purchase pattern through statistical processing of product purchase for each member; An advertisement push providing module for generating a target advertisement to which environment variable information is applied and providing the same to the communication server; A product selection analysis module for statistically processing the number of times a specific product is selected from the product information provided to the user terminal interface user through the screen of the web server; A customer consultation induction module for inducing a customer consultation for obtaining detailed information of a product by presenting products having a high purchase rank to the user terminal interface user; An interactive transaction counseling module for searching for a counselor terminal interface of the specific product and relaying a connection when a user requests a consultation on a specific product of the user terminal interface; And A commerce module for storing purchase and payment performance information according to a product purchase of the user terminal interface user; Target advertising system using the available product extraction, characterized in that it comprises a. The method according to any one of claims 1, 2 or 4, The user terminal interface may include a personal computer (PC), a workstation, a portable communication terminal (PCS, PHS), a portable information terminal (PDA), a set-top box, a digital television, and a web phone, which have a wired or wireless Internet connection. Target advertising system using the available product extraction. The method according to any one of claims 1, 2 or 4, The DB server member information DB for storing the personal information related to the identity of the member and the interest product information of the member for each member; A terminal usage information DB for storing the use time of the user terminal interface, the type and time of use of the program, the type of website visited and the time of stay for each member; A customer behavior information DB that stores information, for each member, such as purchase, inquiry, and counseling for each member according to the provision of product information or target advertisement; A basic product information DB for storing a plurality of product information to be provided to the user terminal interface user; An environment variable information DB for storing environment variable information for each event such as time, day of the week, season / weather, world cup or christmas for applying to push delivery of the target advertisement; A target advertisement information DB for storing a plurality of target advertisement information for providing to the user terminal interface users; A purchase rate information DB for storing various purchase rate information, which is classified and extracted according to a member's product purchase; An advertisement viewership information DB that stores various advertisement viewership information classified and extracted according to the target advertisement viewing number of the member; A product click rate information DB for storing various product click rate information classified and extracted according to the number of product clicks of a member; A purchase preference product ranking information DB for storing a purchase ranking of the product extracted through statistics based on the purchase rate information of the product and the advertisement viewership information; A customer purchase pattern information DB for storing a purchase pattern extracted for each member based on a product purchase; A counseling / survey information DB for storing information generated according to the counseling or survey conducted to the members; And A commerce information DB for storing information generated according to a member's purchase of a product; Target advertising system using the available product extraction, characterized in that it comprises a. The method of claim 2, The communication server may include a plurality of advertisement transmission servers configured to transmit target advertisements to the plurality of user terminal interfaces and to provide information of counseling request members to the plurality of counselor terminal interfaces. Targeted Ad System. The method according to any one of claims 1, 2 or 4, The terminal usage information includes a usage time of the user terminal interface, a type and time of use of a program, a type of a visited website, and a dwell time. The method according to any one of claims 1, 2 or 4, The environment variable information is a target advertisement system using the available product extraction, characterized in that the information per event, such as hourly, day of the week, season / weather, world cup or Christmas. The method according to any one of claims 1, 2 or 4, The advertisement push of the target advertisement is a target advertisement system using the available product extraction, characterized in that the e-mail, SMS (Short Messaging Service), MMS (Multimedia Messaging Service), video, telephone, DM (Direct Mail). The method according to claim 2 or 4, Target advertisement system using the available product extraction, characterized in that the two-way consultation between the user terminal interface and the counselor terminal interface through the video communication, telephone, messenger. The method of claim 1, If the target advertising system is applied to a target advertising system that provides information related to real estate or job listings from the available product extraction information is applied, Product information of interest entered through the user terminal interface is real estate preference information such as apartments, houses, coalitions, multi-family houses, malls, multi-residential properties, residential information and price information. Condition setting, work job setting, job search information, job listings, company name, work area setting, pay condition setting, job setting, job offer information, the user terminal interface according to each input condition Send and receive various information related to real estate or job listings, The web server provides the real estate or job listings and real estate or job advertisements as web pages according to a user selection. The DB server stores the member's personal information and interest information and behavior information of the real estate or job listings, and stores various information related to the real estate or job listings generated as a result of the member, The application server extracts a priority order in which real estate and job listings are preferred based on personal information of the user terminal interface user, interest information and behavior information of real estate or job listings, and obtains real estate or job listings through the web server or the terminal interface. Information about the user, and generates a target advertisement related to real estate or job offer to which environment variable information is applied based on user input information, and transmits the advertisement to a specific user terminal interface through a communication server. The communication server is a target advertising system using the purchase of goods available for purchase, characterized in that the push to transmit a target advertisement related to real estate or job offer provided from the application server to a specific user terminal interface. The method of claim 12, When a user of the user terminal interface requests a consultation on a specific real estate or job opening through a screen provided through the web server or the terminal interface, the user terminal interface is connected to the user terminal interface to perform an interactive consultation. Targeted advertising system using the available product extraction further comprising a plurality of counselor terminal interface for performing the relevant consultation and provide detailed data. The method according to any one of claims 1, 12, 13, The application server prioritizes real estate or job listings by performing statistical processing based on real estate relay rate or job offer rate information according to a real estate transaction application or job offer rate information according to a job application, real estate or job advertisement viewing rate information, and click rate of real estate or job offer. Real estate or job listing priority extraction module for setting the ranking; A real estate or job listing preference pattern extraction module for extracting a preference pattern through statistical processing of real estate or job listings for each member; An advertisement push providing module for generating a target advertisement related to real estate or a job and providing the same to the communication server; A real estate or job selection analysis module for statistically processing the number of times the specific information is selected among the real estate or job information provided to a user terminal interface user through a screen of the web server; A customer counseling induction module for presenting information related to real estate or job listings having high priority for real estate or job listings to the user terminal interface user to induce counseling for obtaining detailed information of the specific information; An interactive counseling module which searches for a counselor terminal interface related to the real estate or job listing and relays a connection when a request for consultation regarding the real estate or job listing information of the user terminal interface user is requested; And A real estate or job placement relay module for relaying a real estate transaction application and job offer application to a corresponding real estate business and a company when the real estate transaction application and job application application relating to the real estate or job listing of the user terminal interface user; Target advertising system using the available product extraction, characterized in that it comprises a. The method of claim 14, The DB server member information DB for storing the personal information related to the identity of the member and interest information of the member in relation to real estate or job listings for each member; A terminal usage information DB for storing the use time of the user terminal interface, the type and time of use of the program, the type of website visited and the time of stay for each member; A customer behavior information DB that stores information, such as a real estate transaction application, job application, inquiry of real estate or job listings, consultation of real estate or job listings, for each member according to the provision of real estate or job listing information and target advertisements; A real estate or job listing DB for storing real estate information and job listing information to be provided to the user terminal interface user; An environment variable information DB for storing environment variable information for each time, day of the week, season / weather, and event for application to push transmission of the target advertisement; A target advertisement information DB of a real estate or a job storing a target advertisement related to a real estate or a job for providing to the user terminal interface user; A real estate transaction application relay rate and job application rate information DB for storing various real estate transaction application relay rate information and job application rate information extracted according to a member's real estate transaction application or job application application; An advertisement rating information DB of a real estate or a job listing advertisement viewing rate information of various real estate or job listings classified and extracted according to the number of target advertisement viewings of members related to the real estate or job listings; A click-through rate information DB for real estate or job listings that stores click rate information of various real estate or job listings classified and extracted according to the number of clicks of a member related to real estate or job listings; A priority information DB for real estate or job listings that stores the priority of the real estate or job listings extracted through statistics based on the application rate information of the real estate transaction application or job listings and the advertisement viewing rate information; A preference pattern information DB for storing preference patterns of real estate or job listings extracted for each member based on the real estate transaction application relay rate or job application rate; A counseling / survey information DB for real estate or job listings that stores information generated by consultations or surveys relating to real estate or job listings performed by members; And A real estate or job relaying information database for storing relaying information generated according to a member's real estate transaction application and job application application; Target advertising system using the available product extraction, characterized in that it comprises a. delete delete Receiving a request for accepting a target advertisement by transmitting the target advertisement to a specific user terminal interface; Performing member authentication of the user who saw the target advertisement attempting to access the user terminal interface; Extracting products having a purchase priority by statistically processing purchase rate information, advertisement viewer rating information, and product click rate of the user who performed the member authentication; Providing the user terminal interface user with list information of the extracted products of the purchase priority; Determining whether there is a purchase request among products provided to the user terminal interface user; If there is a purchase request in the above step, after performing a commerce process through payment, storing the purchase data in a corresponding area, and if there is no purchase request, providing a target advertisement transmitted to the user terminal interface user through the terminal interface; Determining whether an advertisement is selected from the user terminal interface user who has seen the target advertisement; Terminating when the user is logged out without selecting the target advertisement, and determining whether a purchase request for a product included in the target advertisement is received when the target advertisement is selected; And Terminating when a user is logged out without a purchase request for a product included in the target advertisement, and performing a commerce process through payment if there is a purchase request, and storing the purchase data in a corresponding area; Including; The product extraction of the purchase priority may include: processing, by the purchase preference product rank extraction module of the application server, total statistics on various purchase rate information stored in the purchase rate information DB of the DB server; Extracting, by the purchase preference product ranking extracting module, the purchase rate ranking of the product advertisement presentation according to the ranking of the purchase rate information processed for the entire statistics; And Setting the extracted purchase rate ranking as a purchase priority of a product; Target advertising method using the available product extraction, characterized in that the made. The method of claim 18, When the target advertisement is selected, performing a survey according to the target advertisement and storing the survey data responded by the user in a corresponding area, the target advertisement method using the purchaseable product extraction. delete The method of claim 18, The various purchase rate information is based on the purchase rate when the product classification advertisement selected at the time of subscription, the purchase rate when the product classification advertisement is presented according to the occupation, the purchase rate when the product classification advertisement is presented according to the age, the purchase rate when the product classification advertisement is presented according to the age of the child, and whether or not the PC is held. Purchase rate when product classification advertisement is presented, purchase rate when product classification advertisement is presented with or without car, purchase rate when product classification advertisement is presented with or without mobile phone, purchase rate when product advertisement is presented at shopping mall and price suggestion site, visiting website (shopping mall or Price comparison site) target advertisement method using the available product extraction, characterized in that consisting of at least one or more of the purchase rate at the time of presentation of the product advertisement. The method of claim 18 or 19, The product extraction step of the purchase priority may include: processing, by the purchase preference product rank extraction module of the application server, various statistics on the advertisement rating information stored in the advertisement rating information DB of the DB server; Extracting, by the purchase preference product ranking module, the advertisement rating rating of the product advertisement presentation based on the ranking of the advertisement rating information that has been processed in total statistics; And Setting the extracted advertisement viewership rating as a purchase priority of a product; Target advertising method using the available product extraction, characterized in that the made. The method of claim 22, The various advertisement viewership information includes advertisement viewership when presenting a product classification advertisement selected at the time of subscription, advertisement viewership when presenting a product classification advertisement according to occupation, advertisement viewership rating when presenting a product classification advertisement according to age, advertisement viewership rating when presenting a product classification advertisement according to a child's age, Advertisement viewership when presenting product classification advertisement according to PC presence, Advertisement viewership when presenting product classification advertisement according to vehicle ownership, Advertisement viewership when presenting product classification advertisement according to presence of mobile phone, Presenting product advertisement on shopping mall and price presentation site Target advertisement method using the available product extraction, characterized in that composed of at least one or more of the advertisement viewing rate when presenting the product advertisement from the advertisement viewership, visited website (shopping mall or price comparison site). The method of claim 18 or 19, The product extraction step of the purchase priority may include: performing, by the purchase preference product ranking extraction module of the application server, statistically processing various product click rate information stored in the product click rate information DB of the DB server; Extracting, by the purchase preference product ranking module, a product clickthrough rate ranking of a product advertisement presentation based on the ranking of the product clickthrough rate information which has been processed in total statistics; And Setting the extracted product click rate ranking as a purchase priority of the product; Target advertising method using the available product extraction, characterized in that the made. The method of claim 24, The product click rate information is displayed when the product classification advertisement selected at the time of signing up, the product click count when the product classification advertisement is presented according to the occupation, the product click count when the product classification advertisement is presented according to the age, and the product classification advertisement based on the age of the child. Product clicks, Product clicks when presenting a product classification advertisement with or without PC, Product clicks when presenting a product classification advertisement with or without a car, Product clicks when presenting a product classification ad with or without a mobile phone, Shopping mall and price Targeted advertisement using purchaseable product extraction, characterized in that the product clicks when presenting the product ads viewed on the site, at least one combination of the product clicks when presenting the product ads from the visited website (shopping mall or price comparison site) Way. The method of claim 18 or 19, The product extraction of the purchase priority may include: processing, by the purchase preference product rank extraction module of the application server, total statistics on various purchase rate information stored in the purchase rate information DB of the DB server; Extracting, by the purchase preference product ranking extracting module, the purchase rate ranking of the product advertisement presentation according to the ranking of the purchase rate information processed for the entire statistics; Processing, by the purchase preference product ranking module, statistically processing various advertisement viewership information stored in the advertisement viewership information DB of the DB server; Extracting, by the purchase preference product ranking module, the advertisement rating rating of the product advertisement presentation based on the ranking of the advertisement rating information that has been processed in total statistics; Processing, by the purchase preference product ranking module, statistically processing various product click rate information stored in the product click rate information DB of a DB server; Extracting, by the purchase preference product ranking module, a product clickthrough rate ranking of a product advertisement presentation based on the ranking of the product clickthrough rate information which has been processed in total statistics; And The purchase preference product ranking extracting module assigning weights of the purchase priority to the extracted purchase rate ranking, advertisement rating rating, and product click rate ranking to perform statistical processing and extract products of the purchase priority accordingly; Target advertising method using the available product extraction, characterized in that the made. The method of claim 26, The weight of the purchase priority ranks the products having a purchase rate among the purchase rate rank, the advertisement viewership rank, and the product click rate rank as priority, and if there is no purchase rate, sets the advertisement viewership rating as the next priority, and then sets the product click rate as the priority. Target advertising method using the available product extraction, characterized in that. The method of claim 27, The various purchase rate information is based on the purchase rate when the product classification advertisement selected at the time of subscription, the purchase rate when the product classification advertisement is presented according to the occupation, the purchase rate when the product classification advertisement is presented according to the age, the purchase rate when the product classification advertisement is presented according to the age of the child, and whether or not the PC is held. Purchase rate when product classification advertisement is presented, purchase rate when product classification advertisement is presented with or without car, purchase rate when product classification advertisement is presented with or without mobile phone, purchase rate when product advertisement is presented at shopping mall and price suggestion site, visiting website (shopping mall or Price comparison site) target advertisement method using the available product extraction, characterized in that consisting of at least one or more of the purchase rate at the time of presentation of the product advertisement. The method of claim 28, The various advertisement viewership information includes advertisement viewership when presenting a product classification advertisement selected at the time of subscription, advertisement viewership when presenting a product classification advertisement according to occupation, advertisement viewership rating when presenting a product classification advertisement according to age, advertisement viewership rating when presenting a product classification advertisement according to a child's age, Advertisement viewership when presenting product classification advertisements with or without PC, advertisement viewing rate when presenting product classification advertisements with or without car, advertisement viewing rate when presenting product classification advertisements with and without mobile phone, present product advertisements on shopping malls and price presentation sites Target advertisement method using a product purchase rate of purchase, characterized in that composed of at least one or more of the advertisement viewership when presenting the product advertisement from the city advertisement viewership, the visited website (shopping mall or price comparison site). The method of claim 29, The product click rate information is displayed when the product classification advertisement selected at the time of signing up, the product click count when the product classification advertisement is presented according to the occupation, the product click count when the product classification advertisement is presented according to the age, and the product classification advertisement based on the age of the child. Product clicks, Product clicks when presenting a product classification advertisement with or without PC, Product clicks when presenting a product classification advertisement with or without a car, Product clicks when presenting a product classification ad with or without a mobile phone, Shopping mall and price Targeted advertisement using purchaseable product extraction, characterized in that the product clicks when presenting the product ads viewed on the site, at least one combination of the product clicks when presenting the product ads from the visited website (shopping mall or price comparison site) Way. The method of claim 26, Providing detailed data on a specific product in which the consultation request is made when a consultation request is made for a specific product among the product information provided to the user terminal interface user; Storing consultation data answered by a user in a corresponding area in response to providing detailed data of the specific product; Determining whether there is a purchase request for a specific product in which the consultation is performed; And Terminating when the user is logged out without a purchase request for a specific product in which the consultation is performed, and if there is a purchase request, performing a commerce process through payment and storing the purchase data in a corresponding area; Targeted advertising method using the purchase available product extraction further comprising. The method of claim 31, wherein The providing of detailed data on the specific product may include searching for an agent of a specific product for which a consultation request has been made and allowing a counselor terminal interface used by the searched counselor to be connected to the user terminal interface. Target advertising method using the available product extraction. The method of claim 31, wherein The user terminal interface may include a personal computer (PC), a workstation, a portable communication terminal (PCS, PHS), a portable information terminal (PDA), a set-top box, a digital television, and a web phone, which have a wired or wireless Internet connection. Target advertising method using the available product extraction. The method of claim 31, wherein The target advertisement method is a target advertisement method using the available product extraction, characterized in that applied to the environment variable information of one or more information, such as hourly, day of the week, season / weather, world cup or Christmas information. The method of claim 31, wherein The advertisement push of the target advertisement is a target advertising method using the available product extraction, characterized in that the e-mail, SMS (Short Messaging Service), MMS (Multimedia Messaging Service), telephone, video, DM (Direct Mail).

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