KR102242934B1 - Method and device for online advertisement using sns - Google Patents

Abstract

Disclosed are an online advertisement method and device using an SNS. According to an embodiment, an online advertisement server for performing online advertisement by using a social network service (SNS) comprises: at least one processor; and a memory for storing instructions instructing the at least one processor to perform at least one operation. The at least one operation comprises the steps of: acquiring first SNS activity information for a first user having uploaded content from an SNS server; classifying the first user as one category of an early adopter, an influencer, a general consumer, and a late consumer based on the first SNS activity information; selecting a plurality of advertisement objects corresponding to the classified category; obtaining second SNS activity information for a second user who reads the content; determining a target advertisement based on the second SNS activity information among the advertisement objects; and transmitting target advertisement information indicating the target advertisement to the SNS server. Therefore, advertisement can be provided to users most suited to the current lifecycle of products on the SNS.

Description

Online advertising method and device using SNS {METHOD AND DEVICE FOR ONLINE ADVERTISEMENT USING SNS}

The present invention relates to an online advertisement method and apparatus using SNS, and more particularly, by dividing the life cycle of a product based on the main consumption layer, and categorizing users on the SNS according to the classified consumption main layer to advertise online. It relates to a method and apparatus.

Online advertisement refers to the act or information of an advertiser informing or presenting various advertisement objects to other people through an information and communication network. Online advertisement is a direct mail advertisement that sends advertisement mail to consumers who accept e-mail. When a user searches for a specific service or product on a portal site through a keyword, a keyword advertisement in which the advertisement object is exposed at the top of the search result, the user There are display advertisements in which advertisement banners, advertisement videos, etc. are exposed in temporally overlapping or spatially adjacent places with contents that are mainly consumed by.

On the other hand, as social network services (SNS) such as Facebook and Instagram are popularized, various people are engaging in social networks online.

In line with the popularization of such social network services, advertising strategies for users who use social networks are becoming a major marketing point.

Conventional advertising techniques using SNS mainly extract the user's interest topic, that is, a topic found in the user's SNS activity, and provide the product or service related to the extracted topic to the user as an advertisement target for personalized marketing. Introduced a strategy.

However, there is a problem in that the lifecycle of a product that is an advertisement target is not sufficiently considered because it only searches for an advertisement target that fits the user's interests based on the user's SNS activity.

An object of the present invention for solving the above problems is to classify the lifecycle of a product as an advertisement target, and classify users into users corresponding to the current lifecycle of the advertisement target according to the divided lifecycle, so that SNS It is to provide an online advertising method and apparatus that can advertise through users that are most suitable for the current life cycle of a product.

The present invention for achieving the above object provides an online advertisement server for performing online advertisement using a social network service (SNS).

An online advertisement server for performing an online advertisement using the SNS includes at least one processor; And a memory for storing instructions instructing the at least one processor to perform at least one operation.

The at least one operation may include obtaining first SNS activity information for a first user who has uploaded content from an SNS (social network service) server; Classifying the first user into one of an early adopter, an influencer, a general consumer, and a latecomer based on the first SNS activity information; Selecting a plurality of advertisement objects corresponding to the classified categories; Acquiring second SNS activity information for a second user who browses the content; Determining a target advertisement from among the advertisement targets based on the second SNS activity information; And transmitting target advertisement information indicating the target advertisement to the SNS server.

The first SNS activity information includes the number of the content uploaded by the first user, the content of the content, the time when the content is uploaded, the number of subscribers or followers, and the number of content viewed by the first user, and It may include at least one of the contents.

The at least one operation may include receiving advertisement object information from a plurality of advertiser terminals; Determining a lifecycle for each advertisement object using the advertisement object information; And generating a lifecycle database using the determined lifecycle for each advertisement object.

The advertisement object information may include sales or net profit of the advertisement objects according to time, types of the advertisement objects, names of the advertisement objects, and descriptions of the advertisement objects.

The selecting of the plurality of advertisement objects may include selecting the advertisement objects having a lifecycle corresponding to the category classified by the first user by referring to the lifecycle database.

The life cycle may include an introductory phase, a growth phase, a maturity phase, and a decline phase.

In the case of using the online advertisement method and apparatus using the SNS according to the present invention as described above, the lifecycle of the product to be advertised is classified, and users corresponding to the current lifecycle of the advertisement target are classified according to the divided lifecycle. By classifying them, you can advertise on SNS through users who are most suitable for the current life cycle of the product.

1 is a schematic diagram of an online advertisement method and apparatus using SNS according to an embodiment of the present invention.
2 is a graph for explaining a concept for determining a user category corresponding to a life cycle of a product according to an embodiment of the present invention.
3 is a representative flowchart for explaining the operation of the online advertisement server according to FIG. 1.
4 is a flowchart illustrating an operation of configuring a lifecycle database by determining a lifecycle of an advertisement object in advance by an online advertisement server according to an exemplary embodiment.
5 is a diagram illustrating a hardware configuration of an online advertisement server according to an embodiment of the present invention.

In the present invention, various modifications may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention. In describing each drawing, similar reference numerals have been used for similar elements.

Terms such as first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Unless otherwise defined, all terms used herein including technical or scientific terms have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Does not.

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

1 is a schematic diagram of an online advertisement method and apparatus using SNS according to an embodiment of the present invention.

Referring to FIG. 1, an online advertisement method using an SNS may be performed using an online advertisement server 100, an advertiser terminal 200, an SNS server 300, and a user terminal 400. In this case, the online advertisement server 100, the advertiser terminal 200, the SNS server 300, and the user terminal 400 may be referred to as an online advertisement system.

The advertiser terminal 200 is a terminal of an advertiser who wants to advertise a specific advertisement object through the online advertisement server 100 and may transmit advertisement object information to the online advertisement server 100.

For example, the advertisement object information may include sales or net profit according to time of the advertisement object, the type of the advertisement object, the name of the advertisement object, and a description of the advertisement object. The description of the advertisement object may be data in the form of text describing the characteristics of the advertisement object.

The user terminal 400 is a terminal of a user who accesses the SNS server 300 to perform SNS activities, and generates content, uploads it to the SNS server 300, and includes a target advertisement provided by the SNS server 300. You can browse the contents.

For example, the user terminal 400 is generated by a first user by accessing the first user terminal 410 and the SNS server 300 for generating content and uploading the generated content to the SNS server 300 It may include a second user terminal 420 for viewing one content. The first user terminal 410 may be referred to as being used by a first user, and the second user terminal 420 may be referred to as being used by a second user.

For example, the user terminal 400 and the advertiser terminal 200, a desktop computer (desktop computer), a laptop computer (laptop computer), notebook (notebook), smart phone (smart phone), tablet PC (tablet PC) capable of communication , Mobile phone, smart watch, smart glass, e-book reader, portable multimedia player (PMP), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant) Etc.

The SNS server 300 is a server of a business operator that provides social network services (SNS) such as Facebook, Instagram, YouTube, etc., and a plurality of user terminals 400 ) And the content generated by a plurality of user terminals 400 are received and provided to other user terminals 400 by being wirelessly connected through the Internet, and the details of the content generated by the user terminals 400, and the relationship to create a social network SNS activity information may be generated based on such as, and the SNS activity information may be provided to the online advertisement server 100.

The online advertisement server 100 interlocks with the SNS server 300 to collect SNS activity information for a plurality of users, and collects advertisement target information by interlocking with the advertiser terminal 200, and collects the collected SNS activity information and Target advertisement information indicating a target advertisement for a specific user browsing the content may be generated based on the advertisement object information, and the generated target advertisement information may be transmitted to the SNS server 300.

Here, the target advertisement is an advertisement target (for example, a tangible product or an intangible service) determined based on the first SNS activity information of the first user who created the content and the second SNS activity information of the second user who browses the content. May include all of) advertising banners, videos, links, text, and the like.

For example, the online advertisement server 100 determines a lifecycle of an advertisement object in advance based on the advertisement object information received from a plurality of advertiser terminals 200, and uses the determined lifecycle for each advertisement object. Thus, the lifecycle database 101 can be created. The lifecycle database 101 may be implemented in a form stored in the storage device 160 inside the online advertisement server 100, but may be implemented as a distributed database outside the online advertisement server 100. . In addition, the online advertisement server 100 may pre-register advertisement objects based on the advertisement object information.

A category of the first user may be classified based on the first SNS activity information of the first user, and a plurality of advertisement targets having a life cycle corresponding to the classified category may be selected by the first user. In addition, the online advertisement server 100 may determine a target advertisement from among a plurality of advertisement targets based on the second SNS activity information of the second user who browses the content.

That is, the online advertisement server 100 determines the final target advertisement in consideration of the SNS activity of the user receiving the advertisement as well as providing advertisements for the advertisement target to users that fit the life cycle of the advertisement target. , It has the advantage of being able to do targeted advertisement considering both producers and consumers of content with advertisements.

2 is a graph for explaining a concept for determining a user category corresponding to a life cycle of a product according to an embodiment of the present invention.

Referring to FIG. 2, various types of products or intangible services as advertisement targets tend to increase or decrease in sales according to a certain life cycle.

Specifically, according to the product life cycle theory, all products or services can be classified into one of an introductory period, a growth period, a maturity period, and a decline period in which sales and profits change over time.

The introduction period may be a period in which a product is developed, and the developed product is first introduced to the market and the sales amount gradually increases (but there may be no net profit or may not increase). The growth period may be a period when sales increase as product consumption increases in the market, and net profit also increases. The maturity period may be a period in which sales or net profits begin to be maintained or decreased due to increased marketing costs due to stagnation of sales growth due to a product being already consumed or propagated to many customers, or an increase in competitors. The decline period may be a period in which both sales and net profit decline as the product is withdrawn from competition after the maturity period.

As described above, all products or services that are advertisement targets tend to have a life cycle of reaching a decline through an introduction period, and in an embodiment of the present invention, the advertisement target is determined in consideration of such a life cycle, thereby affecting the life cycle of the advertisement target. You can maximize advertising effectiveness by attaching targeted advertisements to the most optimized content providers.

For example, when the advertisement target corresponds to the introduction period, content related to the advertisement target is often generated by the early adapter as it is still in the early stage of its start, and the advertisement effect can be maximized when advertised through the early adapter. . In addition, when the advertisement target reaches the growth stage, the content related to the advertisement target is often generated by an influencer, and the advertisement effect can be maximized when the advertisement is advertised through an influencer with the highest spreading power and spreading power. However, when the target of advertising has reached maturity, the product is already known to a certain number of people, so rather than getting the advertising effect through early adopters or influencers, the gwanggyo effect obtained when advertised through the general consumer base is greater. In many cases, contents related to advertisement targets are generated by general consumer groups. In addition, when a product reaches a period of decline, it is highly likely that the general consumer class has consumed the majority of the product.Therefore, the advertising effect obtained when advertised through the late-stage consumers rather than through the general consumer class is greater, and when content related to the advertisement target is created by the later-stage consumers. There are many.

Accordingly, the online advertisement server 100 according to an embodiment of the present invention adds a target advertisement to the content produced by the early adapter when the life cycle of the advertisement object is in the introductory period, and the life cycle of the advertisement object is in the growth period. In this case, target advertisement is added to the content produced by the influencer, when the life cycle of the advertisement object is in the maturity period, target advertisement is added to the content produced by the general consumer, and when the life cycle of the advertisement object is in the decline period, it is late. It is possible to propose a method of maximizing the effect of target advertising by adding a target advertisement to the content produced by the consumer.

3 is a representative flowchart for explaining the operation of the online advertisement server according to FIG. 1.

Referring to FIG. 3, the online advertisement server 100 may acquire first SNS activity information for a first user who has uploaded content (S100). For example, the online advertisement server 100 may obtain first SNS activity information from the SNS server 300. Here, the first SNS activity information may include the number of contents uploaded by the first user, the contents of the contents, the time when the contents were uploaded, the number of subscribers or followers, the number and contents of the contents viewed by the first user, etc. have.

The online advertisement server 100 is one of an early adopter, an influencer, a normal consumer, and a laggard consumer based on the first SNS activity information. It can be classified into categories of (S110).

For example, if the number of uploaded contents related to the advertisement target corresponding to the introduction period based on the upload time of the contents uploaded by the first user, the online advertisement server 100, the first user It can be classified as an early adopter. In this case, whether the advertisement target corresponds to the introduction period may be determined by the online advertisement server 100 with reference to the lifecycle database 101.

The online advertisement server 100 may classify the first user as an influencer when the number of subscribers or followers for the first user is greater than or equal to a preset reference value.

The online advertisement server 100 has a preset number of uploading or viewing contents related to an advertisement target corresponding to the decline period based on the upload time of the content uploaded by the first user or the upload time of the contents viewed by the first user. If the number is greater than the number, the first user may be classified as a latecomer. In this case, whether the advertisement target corresponds to the decline period may be determined by the online advertisement server 100 with reference to the lifecycle database 101 described later.

When the first user is not classified as an early adopter, an influencer, and a latecomer, the online advertisement server 100 may be classified as a general consumer.

The online advertisement server 100 may select a plurality of advertisement objects corresponding to the classified categories (S120). For example, when the category of the first user is classified as an early adopter, among advertisement objects registered in advance, advertisement objects corresponding to a life cycle introductory period may be selected. When the first user's category is classified as an influencer, advertisement targets corresponding to the growth period of the life cycle may be selected. When the first user's category is classified as a general consumer, advertisement targets corresponding to the maturity period of the life cycle may be selected. When the first user's category is classified as a late consumer, advertisement targets corresponding to a period in which the life cycle is declining may be selected. Prior to step S120, the online advertisement server 100 determines a life cycle of the advertisement object in advance based on the advertisement object information received from the plurality of advertiser terminals 200, and determines the life cycle of each advertisement object in a life cycle database. It can be composed of (101). At this time, the configured lifecycle database 101 may be continuously updated by receiving advertisement target information from the advertiser terminals 200 in real time.

After a plurality of advertisement targets are selected, the online advertisement server 100 may obtain second SNS activity information for a second user who browses the content uploaded by the first user.

The online advertisement server 100 may determine a target advertisement based on the second SNS activity information from among the selected advertisement targets (S140). For example, the online advertisement server 100 may provide a type, name, and description related to the content viewed or generated by the second user based on the content browsing history and content creation history included in the second SNS activity information. An advertisement object corresponding to the advertisement object information including one of) may be determined as a target advertisement.

To this end, the online advertisement server 100 determines the content of the content viewed or generated by the second user using natural language processing (NLP), and the type, name, or name that is the same as or corresponding to the content of the determined content It is possible to determine the advertisement object information having a description.

For example, natural language processing is a framework or algorithm that can implement natural language processing. It may be implemented using Turing, or BERT, GPT-2, or the like.

The online advertisement server 100 may transmit target advertisement information indicating the determined target advertisement to the SNS server 300. The SNS server 300 combines the target advertisement with the content generated by the first user based on the target advertisement information, and allows the second user terminal 420 of the second user to view the combined content with the target advertisement, Content to which the target advertisement is combined may be transmitted to the second user terminal 420.

Meanwhile, after transmitting the target advertisement information to the SNS server 300, the online advertisement server 100 may generate advertisement effect data based on a content generation amount corresponding to the target advertisement information from the SNS server 300.

For example, in Fig. 2, early adapters temporarily increase the amount of content generated in the introductory period, influencers increase the amount of content generated during the growth period, the general consumer increases the amount of content generated during the maturity period, and the latecomers increase the amount of content generated during the decline period. There is a tendency to increase the amount of content generated.

Accordingly, the online advertisement server 100 may calculate a change trend of the content generation amount corresponding to the target advertisement for each user based on Equation 1 below in order to check the advertisement effect of the target advertisement information.

In Equation 1, a, b, and c are regression analysis coefficients obtained when a regression analysis of the change trend of generating content related to the advertisement object corresponding to the introduction period by users classified as early adopters by a quadratic equation, is one or more introduction periods. Values that are experimentally determined in advance using the advertisement object belonging to the target advertisement, k1, k2, k3, and k4 are weights determined according to the category to which the first user who produced the combined content of the target advertisement belongs, and three of k1 to k4 May be the same value, and the other may be 10 times or more larger than the same value. For example, when the first user is an adapter, k1 may be set to a value 10 or more times greater than k2, k3, and k4, and k2 to k4 may be set to the same value, and the first user may be an influencer. In the case of, k2 is set to a value more than 10 times greater than k1, k3, and k4, and k1, k3, and k4 may be set to the same value. When the first user is a general consumer, k3 is more than k1, k2, and k4. It is set to a value that is 10 times or more, and k1, k2, and k4 may be set to the same value, and when the first user is a late consumer, k4 is set to a value 10 times or more than k1, k2, and k3, and k1, k2 and k3 may be set to the same value.

The online advertisement server 100 calculates a difference value by comparing the content generation amount according to Equation 1 with the content generation amount of users belonging to the same category as the first user, and transmits the calculated difference value to the advertiser terminal 200. I can. The difference value calculated here is theoretically a value representing the difference between the expected content generation amount and the actual content generation amount according to Equation 1, so if the difference value is large, the advertising effect does not yet appear, and the advertisement needs to be continued a little longer. If this is high and the difference value is small, the advertising effect is exhibiting, and it can be determined that there is a high need to expand the advertisement to other users. That is, the effect of the target advertisement can be fed back to the advertiser based on Equation 1, so that the advertiser can quickly determine whether to maintain the current advertisement format or change the advertisement target to another user.

4 is a flowchart illustrating an operation of configuring a lifecycle database by determining a lifecycle of an advertisement object in advance by an online advertisement server according to an exemplary embodiment.

The online advertisement server 100 according to an embodiment of the present invention stores advertisement object information received from a plurality of advertiser terminals 200 in order to configure the lifecycle database 101 by determining a lifecycle for each advertisement object. Based on this, the life cycle can be determined for each advertisement target. In this case, whether the online advertisement server 100 according to an embodiment of the present invention includes an inflection point corresponding to the maximum value of sales in consideration of the characteristics of the sales curve showing different trends according to the sales growth trend of the advertisement object. We apply an algorithm that determines the lifecycle as quickly as possible using the slope of the linear approximation through linear approximation.

For example, the advertisement object information may include sales or net profit according to time of the advertisement object, the type of the advertisement object, the name of the advertisement object, and a description of the advertisement object.

The online advertisement server 100 may generate a sales curve by using the sales amount according to time of the advertisement object included in the advertisement object information (S200).

The online advertisement server 100 may determine whether the generated sales curve includes an inflection point corresponding to the maximum value of sales (S210).

When the sales curve does not include an inflection point, the online advertisement server 100 may calculate the first linear approximation slope by linearly approximating the sales curve (S220). The online advertisement server 100 determines whether the calculated first linear approximation slope is less than or equal to a first threshold value (S222), and when the first linear approximation slope is less than or equal to the first threshold value, the life of the advertisement object corresponding to the sales curve The cycle may be determined as an introduction (S226). In addition, when the first linear approximation slope is not less than the first threshold value, the online advertisement server 100 may determine a life cycle of the advertisement object corresponding to the sales curve as a growth period (S224).

Meanwhile, when the sales curve includes an inflection point, the online advertisement server 100 may calculate a second linear approximation slope by linearly approximating the slope after the inflection point in the sales curve. The online advertisement server 100 determines whether the calculated second linear approximate slope is a negative number less than or equal to the second threshold (S214), and when the second linear approximation slope is a negative number less than or equal to the second threshold, corresponds to the sales curve It is possible to determine the life cycle of the advertising object to decline (S216). In addition, when the second linear approximation slope is not a negative number equal to or less than the second threshold, the online advertisement server 100 may determine the life cycle of the advertisement object corresponding to the sales curve as a maturity (S218). In this case, the second threshold may also be a negative number.

The first threshold value and the second threshold value are experimentally determined values, and as the first threshold value is determined to be smaller, the number of advertisement objects classified as an introduction period increases, and the advertisement objects classified as a growth stage may decrease. In addition, as the second threshold value, which is a negative number, is determined to be smaller, the number of advertisement objects classified in the decline period may decrease, and the advertisement objects classified in the maturity stage may increase.

That is, the online advertisement server 100 according to an embodiment of the present invention determines the life cycle according to the determination algorithm according to FIG. 4 by simplifying the sales curve of the advertisement object as much as possible, thus showing different trends for each advertisement object. There is an advantage in that it is easy to classify the sales curve uniformly according to a mathematical algorithm.

5 is a diagram illustrating a hardware configuration of an online advertisement server according to an embodiment of the present invention.

Referring to FIG. 5, the online advertisement server 100 includes at least one processor 110; And a memory 120 that stores instructions instructing the at least one processor 110 to perform at least one operation.

Here, the at least one processor 110 means a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. I can. The memory 120 may be formed of at least one of a volatile storage medium and a nonvolatile storage medium. For example, the memory 120 may be composed of at least one of read only memory (ROM) and random access memory (RAM). The storage device 160 may be a hard disk drive (HDD), a solid state drive (SSD), or the like.

In addition, the online advertisement server 100 may include a transceiver 130 for performing communication through a wireless network. In addition, the online advertisement server 100 may further include an input interface device 140, an output interface device 150, and a storage device 160. Each of the components included in the online advertisement server 100 may be connected by a bus 170 to communicate with each other.

The online advertisement server 100 may include roles such as a push server, a gateway server, and a name server.

The methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in computer software.

Examples of computer-readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes such as those produced by a compiler. The above-described hardware device may be configured to operate as at least one software module to perform the operation of the present invention, and vice versa.

In addition, the above-described method or apparatus may be implemented by combining all or part of its configuration or function, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. You will understand that you can do it.

100: online advertisement server 200: advertiser terminal
300: SNS server 400: user terminal
410: first user terminal 420: second user terminal

Claims (6)

As an online advertisement server for performing online advertisement using SNS,
At least one processor; And
Including a memory (memory) for storing instructions (instructions) instructing the at least one processor to perform at least one operation,
The at least one operation,
Receiving advertisement object information from a plurality of advertiser terminals;
Determining a lifecycle including an introduction period, a growth period, a maturity period, and a decline period for each advertisement target using the advertisement target information;
Creating a lifecycle database using the determined lifecycle;
Obtaining first SNS activity information for a first user who has uploaded content from a social network service (SNS) server;
Classifying the first user into one of an early adopter, an influencer, a general consumer, and a latecomer based on the first SNS activity information;
Selecting a plurality of advertisement objects corresponding to the classified categories;
Acquiring second SNS activity information for a second user who browses the content;
Determining a target advertisement from among the advertisement targets based on the second SNS activity information; And
Including the step of transmitting target advertisement information indicating the target advertisement to the SNS server,
The first SNS activity information,
Including at least one of the number of the content uploaded by the first user, the content of the content, the time when the content is uploaded, the number of subscribers or followers, and the number and content of the content viewed by the first user,
The advertisement target information,
Including the sales amount or net profit according to time of the advertisement objects, the types of the advertisement objects, the names of the advertisement objects, and a description of the advertisement objects,
The step of selecting the plurality of advertisement objects,
And selecting the advertisement objects having the lifecycle corresponding to the category classified by the first user by referring to the lifecycle database. delete delete delete delete delete

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