KR100587925B1 - Method for internet recommandation marketing - Google Patents

Abstract

This Internet recommendation marketing method is a computer-based marketing method for selling tangible and intangible goods or services to a large number of potential buyers through referrals of referrals. Steps; Inputting, by the recommender, identification information of potential multiple buyers targeted for their marketing into the computer; Constructing a database by storing a plurality of inputted buyer identification information so as to correspond to the recommender; The purchaser entering his identification information into the computer; And extracting a recommender corresponding to the input identification information from the database, and providing a first reward point for the extracted recommender. The purchaser includes payment acceptance information and own identification information. Inputting purchase subscription information to the computer; And extracting a recommender corresponding to the purchaser who has completed the payment from the database on the basis of the identification information, and paying a second reward point for the extracted recommender.

Internet, Marketing, Referral, E-Commerce

Description

Internet referral marketing method {Method for internet recommandation marketing}

The following drawings, which are attached to this specification, illustrate exemplary embodiments of the present invention, and together with the detailed description of the present invention, serve to further understand the technical spirit of the present invention. It should not be construed as limited to.

1 is a block diagram of a network system to which the Internet recommendation marketing method according to the present invention is applied.

2 is a functional diagram of a service server according to the present invention.

3 is a flowchart illustrating an overall Internet recommendation marketing method according to a preferred embodiment of the present invention.

4 is a flowchart of a recommender registration process according to a preferred embodiment of the present invention.

5 is a flowchart illustrating a process of registering introductory information according to a preferred embodiment of the present invention.

6 is a flowchart illustrating a process in which a first reward point is paid to the recommender as the recommender accesses the website according to the preferred embodiment of the present invention.

7 is a flowchart illustrating a process in which a second reward point is paid to a corresponding recommender as the recommended person purchases an item on the website and pays a purchase price according to a preferred embodiment of the present invention.

<Description of main reference numerals in the drawings>

10: recommender terminal 20: recommended terminal

30: service server 40: network

The present invention relates to a marketing method of electronic commerce, and more particularly, an Internet recommendation marketing in which a potential buyer is introduced from a recommender and a reward point is provided to a corresponding recommender as the buyer accesses a website and performs a purchase activity. It is about a method.

The development of the Internet has enabled the exchange of information between at least two computer systems that exist in remote locations, enabling electronic commerce to close product transactions only through the exchange of electronic documents.

As a result, each company is actively promoting its e-commerce website to attract customers and is striving to establish a differentiated marketing method.

The present invention has been made in view of the above, and through the introduction of the recommender, the buyer is introduced from the recommender to sell the tangible or intangible goods or services to a plurality of potential buyers, and the buyer accesses the website. The purpose of the present invention is to provide a method of paying reward points to a corresponding recommender as a purchase activity is performed.

Other objects and advantages of the invention will be described below and will be appreciated by the practice of the invention. Furthermore, the objects and advantages of the present invention can be realized by means and combinations indicated in the appended claims.

The recommender marketing method on the Internet according to the present invention for achieving the above object is a computer-based marketing method for selling tangible or intangible goods or services to potential potential buyers through the introduction of recommenders, and recommender identification information. Registering as a recommender by inputting into the computer; Inputting, by the recommender, identification information of potential multiple buyers targeted for their marketing into the computer; Constructing a database by storing a plurality of inputted buyer identification information so as to correspond to the recommender; The purchaser entering his identification information into the computer; And extracting a recommender corresponding to the input identification information from the database, and providing a first reward point for the extracted recommender.

Preferably, the purchaser identification information may include a social security number, a business registration number, a mobile phone number, and the like.                     

And inputting, by the buyer, purchase subscription information including payment acceptance information and own identification information into the computer; The method may further include extracting a recommender corresponding to the purchaser who has completed the payment from the database based on the identification information, and providing a second reward point to the extracted recommender.

Alternatively, the purchaser inputs, to the computer, purchase subscription information for a specific digital data product including payment acceptance information and identification information thereof; The purchaser downloading the digital data product from the computer to an information communication terminal thereof; The method may further include extracting a recommender corresponding to the purchaser who has completed the payment from the database based on the identification information, and providing a second reward point to the extracted recommender.

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

Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to explain their invention in the best way. Based on the principle that can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

1 illustrates a configuration of a network system to which an internet recommendation marketing method according to the present invention is applied.

The network system includes a network network for mediating data communication between a plurality of recommended terminals 10, a service server 30 on the Internet, a plurality of recommended terminals 20, and these components 10, 20, and 30. 40).

The recommender and the recommender's terminals 10 and 20 are provided with a web browser for using the Internet, and the web browser can be connected to a website of the service server 30 represented by a specific Uniform Resource Locator (URL). .

A personal computer (PC) or a notebook computer is preferably used as the terminals 10 and 20, but is not limited thereto. A mobile terminal capable of wireless internet for realizing wireless communication with the service server 30 may be employed.

The service server 30 is a web server of a service provider that implements an e-commerce website that sells various goods or services. By using the recommended marketing of the present invention, the service server 30 attracts potential buyers to the website to promote the website. Sell the goods.

The service server 30 is a large computer system capable of performing a large amount of business processing by executing a huge amount of mathematical calculations in information processing or database search.

The network 40 is to connect the terminals 10, 20 and the server 30 in common to perform data communication with each other, and includes a wired / wireless internet network, a public telephone network (PSTN), a wireless communication network, and the like. do.                     

However, in the following description, for convenience of description, the network 40 is a wired Internet network based on the World Wide Web, and the terminals 10 and 20 are personal computers (PCs). The present invention will be described. However, it is a matter of course that the present invention is not necessarily limited to these examples.

2 shows a functional configuration of a service server according to the present invention.

The service server 30 includes a server engine 32, a plurality of web pages 34, a referrer registration module 36a, a unique identification code generation module 36b, an introduction reception module 36c, a first reward point. Payment module 36d, order payment module 36e, second reward point payment module 36f, point management module 36g, recommender information DB 38a, introduction information DB 38b, order payment information DB 38c ), A point management DB 38d.

The server engine 32 is responsible for the overall operation of the system and provides various web pages 34 for the terminals 10 and 20 to access, and server-side such as the modules 36a to 36g. side Provides a platform for the program.

Here, the web page 34 is preferably written in HTML (Hyper-Text Markup Language) format, but may be written in any format as long as it can be read by a computer system.

The recommender registration module 36a registers personal identification information including basic personal information such as name, social security number, and payment identifier information such as bank account number, and receives a recommender registration from a client connected for recommendation registration. As an example, the acquired identification information of the recommender is stored in the recommender information DB 38a and managed.

The unique identification code generation module 36b is a program for generating and issuing a recommender unique identification code to the recommender registered as a recommender, and stores the generated unique identification code in the recommender information DB 38a for the recommender.

The introduction reception module 36c is a program for acquiring introduction information registered by a recommender who has been issued a unique identification code and storing the introduction information in the introduction information DB 38b.

Here, each piece of introduction information stored in the introduction information DB 38b is matched with 1: 1 recommended information for the recommender unique identification code.

The first reward point payment module 36d receives identification information when a recommender who has been introduced to the website through various paths from the recommender receives identification information, and identifies the unique identification code of the corresponding recommender from the identification information. As a program for paying a first reward point for an identification code, the reward point payment details are recorded in the point management DB 38d.

The order settlement module 36e is a program for processing a purchase order and a payment for a purchase price for a specific product or service of a referee who accesses the website. The order settlement module 36e includes payment identifier information such as the credit card number of the referee who made the purchase and personal information. Identification information, various purchase orders, and payment related information are stored and managed in the order settlement DB 38c.

The second reward point payment module 36f identifies the unique recommendation code of the corresponding recommender by using the identification information of the recommender obtained at the time of purchase order at the time when payment of the purchase price according to the recommendation purchase order is completed, and the unique identification code As a program for paying the second reward points, the reward point payment details are recorded in the point management DB 38d.

Point management module (36g) in conjunction with the point management DB (38d) to output the point earning history to the recommender to provide or process the use of the point of the recommender, convert the points into cash to process the deposit into the recommender's bank account, etc. A program that executes a function.

Hereinafter, an internet recommendation marketing method according to the present invention will be described in detail with reference to the accompanying drawings.

3 is a flowchart showing the process of implementing the Internet recommendation marketing method according to a preferred embodiment of the present invention.

This Internet recommendation marketing method is a step (S100) that the referrer registration is largely performed, the step of registering the referral information (S200), and the first reward point is paid to the corresponding recommender as the recommended person accesses the website In step S300, as the recommender makes a purchase on the website and pays the purchase price, a second reward point is provided to the corresponding recommender (S400).

According to the present invention, the recommender registers introductory information for introducing a specific recommended person on the website of the service server 30, and leads the recommended person through various paths to access the website.

First, FIG. 4 is a flowchart showing a process of performing recommender registration according to a preferred embodiment of the present invention in detail.                     

The client to register as a recommender secures a data link by accessing the website of the service server 30 through the network 40 using the PC 10 capable of internet access (S102).

That is, the client accesses the website of the service server 20 represented by the specific URL by using the web browser in the PC 10, and the service server 20 transmits the webpage corresponding to the URL. The web browser of the client computer 10 interprets the transmitted web page and displays it on the monitor.

The client requests the recommendation registration by selecting the corresponding menu on the transmitted web page (S104), and the service server 30 transmits the recommendation registration webpage (S106), and the client transmits the recommendation registration for the sent recommendation. Personal identification information such as various personal information and payment identifier information required for the web page is input and the recommender is registered (S108).

The service server 30 determines whether the corresponding recommender is qualified as a recommender by using identification information of the recommender (S110), and outputs a non-registration message when there is no qualification as a result of the determination (S112).

Here, the qualification of the recommender is arbitrarily determined by the service provider, and it is possible to set the age, occupation, and the like as qualification conditions.

On the other hand, if there is a recommender qualification, the service server 30 stores the obtained recommender information in the recommender information DB 28a, further generates and stores a unique identification code for the registered recommender (S114), and generates the generated unique identification code. To the web page (S116) for the recommender to check and understand.

In this way, the recommender registration is performed, and the process of issuing a unique identification code for the registered recommender is completed.

On the other hand, the service server 30 is to issue a unique identification code for the registered recommender to provide, but differently, if the recommender to register the desired unique identification code and the service server 30 confirms that if there is no problem A manner of allowing use of the unique identification code may be adopted, in which case the service server 30 is not equipped with a unique identification code generation module 36b.

5 is a flowchart illustrating a process of registering introduction information by a recommender registered according to a preferred embodiment of the present invention in detail.

After completing the registration of the recommender, the recommender accesses the website of the service server 20 by using the Internet-capable PC 10 to introduce the recommended person at a necessary time (S202), and requests the registration of the introduction information on the provided web page. In operation S204, the service server 20 transmits a web page for introduction information registration in operation S206.

The recommender inputs the identification information of the recommended person and the unique identification code of the recommended person to be introduced into the introduction information registration web page, and executes the introduction information registration (S208).

Here, as identification information of the recommender registered by the recommender, unique information that clearly distinguishes the recommender from others, such as a resident registration number, a business registration number, and a mobile phone number of the recommender, may be used.

Therefore, the service server 30 stores the registered introduction information (that is, the recommender identification information for the unique identification code of the recommender) in the introduction information DB 38b (S210).

Thus, the process of registering the referral information desired by the recommender on the website of the service server 30 is completed.

By repeating this process, a referral information DB 38b in which a plurality of recommended persons is matched with a specific recommender is constructed.

As described above, the recommender who registered the introduction information introduces the website of the service server 30 to the recommended person through various paths, and induces access to the website.

Therefore, the recommended person accesses the website of the service server 30 introduced by an acquaintance recommender.

Referring to FIG. 6, a description will be given of a process in which a first reward point is paid to a corresponding recommender when a recommended person introduced according to a preferred embodiment of the present invention accesses a website.

The recommended person connects to the website of the service server 30 using the PC 20 capable of internet access (S302).

In response to the connection, the service server 30 provides a corresponding web page, and obtains identification information such as a social security number from the recommended person connected through this web page.

That is, the recommended person registers identification information such as a social security number requested on the web page, and the service server 30 obtains it (S304).                     

Then, the service server 30 checks whether there is a corresponding recommender by using the obtained recommender identification information, using the introduction information DB 38b, and if present, identifies a unique identification code of the corresponding recommender (S306). The first reward point is paid for the unique identification code (S308).

Here, the reward point details paid are recorded and stored in the storage area of the recommendation of the point management DB 38d.

This is because the recommender accesses the website, so that the service server 30 recognizes the website to one of the potential purchasing customers and introduces various products and companies. The point is to pay.

As a result, when the recommender who is introduced to the website from the recommender accesses the website, the reward point is paid to the recommender.

FIG. 7 is a flowchart illustrating a process in which a second reward point is paid to the recommender as the recommender who accesses the website purchases the sold item and pays the purchase price according to the preferred embodiment of the present invention.

The recommended person who accesses the website of the service server 30 inquires various items or services sold on the website and requests a purchase order for a specific article or service (S402), and the service server 30 requests a purchase order. The web page (S404), and the recommender registers his identification information such as the social security number requested and payment identifier information such as the credit card number, creates a web page for the purchase order, and transmits it. (S406).

Therefore, the service server 20 obtains the identification information and the payment information of the recommender who made the purchase and stores the order information in the order payment information DB 28c (S408), and executes the payment of the purchase price using the obtained payment identifier. The purchase price is paid from the recommended person (S410).

Then, the service server 30 checks whether there is a corresponding recommender using the acquired recommendation information by using the introduction information DB 38b, and if it exists, identifies the unique identification code of the recommender (S412). The second reward point is paid for the identified unique identification code (S414).

Here, the amount of the second reward points to be paid is preferably paid in correspondence with the paid purchase price, and the details of the reward points paid are recorded and stored in the corresponding recommendation storage area of the point management DB 38d.

As a result, the process of paying the second reward point to the corresponding recommender according to the purchaser's buying behavior is completed.

Meanwhile, the service server 30 may sell digital data goods such as music files and software programs through a website, and in this case, the purchase process of the recommended person may include a process of downloading the purchased digital goods.

In addition, according to the present invention, a variety of things such as cyber money, gifts, gift certificates, and cash may be used in addition to the points exemplified as reward forms, and the referrer checks the reward details paid to him through a web page and provides or uses the rewards. You can request

As mentioned above, although this invention was demonstrated by the limited embodiment and drawing, this invention is not limited by this, The person of ordinary skill in the art to which this invention belongs, Of course, various modifications and variations are possible within the scope of equivalent claims.

According to the Internet recommendation marketing method of the present invention, a service operator can easily attract a large number of potential customers to the website by using the recommender method to activate the website and achieve a promotional effect, and furthermore, Can generate a lot of profit.

Claims (4)

As a marketing method using a commerce computer to sell tangible and intangible goods or services to a large number of potential buyers through referrals of referrals, In the commerce computer connected to the information communication terminal (hereinafter referred to as the recommender terminal) of the recommender, the information communication terminal (hereinafter referred to as the buyer terminal) of the buyer via a computer network, Receiving recommender registration information from the recommender terminal; Generating an identification code unique to the recommender and outputting the identification code to the recommender terminal; Receiving identification information (resident registration number, business registration number or mobile phone number) for a plurality of potential buyers targeted for marketing from the recommender terminal; Matching and storing the recommendation unique identification code and the identification information of the recommended buyer; Receiving identification information of the buyer from the recommended buyer terminal of the buyer; And extracting a unique identification code corresponding to the recommendation based on the inputted identification information of the buyer, and generating and storing a visit reward point for the identification code. delete The method of claim 1, Receiving purchase offer information including payment acceptance information from the purchaser terminal; And And extracting an identification code corresponding to the buyer who has completed the payment, and generating and storing a purchase reward point for the identification code. delete

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