KR102530316B1 - System for Matching Influencer Maketing - Google Patents

Abstract

The influencer marketing matching system classifies influencers based on the number of followers, and advertising costs are set according to the classified influencer levels to provide product or service marketing using influencers.
The present invention has the effect of maximizing the effect of advertising by the influencer by providing information on the influencer to which the seller will request product promotion or advertisement, and by matching the customized influencer desired by the seller.

Description

Influencer Marketing Matching System {System for Matching Influencer Making}

The present invention relates to an influencer marketing matching system, and more particularly, by classifying influencer ratings based on the number of followers, advertising costs are set according to the classified influencer ratings, It is about an influencer marketing matching system that provides service marketing.

When conventional companies sell products or services, they perform advertisements using various marketing means such as TV, newspapers, the Internet, and home shopping.

However, small and medium-sized enterprises, unlike large enterprises, have limitations in marketing costs, so it is difficult to use existing marketing means, or even if they use it, it is only a one-off, so the advertising effect does not meet expectations.

Recently, with the development of Internet platform, the influence of advertisements and home shopping through TV, which is an existing video medium, is decreasing, and the new commerce market based on Internet platforms such as mobile SNS is in the spotlight.

As the media diversified, marketing channels also diversified. Therefore, current marketing means include various promotional channels such as search channels, blogs, social media channels such as Facebook and Instagram.

Among these various publicity channels, influencers began to appear among users using various platforms along with the explosive increase in the number of users. Influencers refer to users with high influence within the platform. Examples of influencers include users with a large number of followers on social media platforms, users who run blogs with a large number of visitors, and YouTube users who run channels with a large number of subscribers. etc.

Influencers produce and post their own posts, and those posts are exposed to a large number of users within the platform. Along with the increase in exposure frequency, other users' interest in things related to influencers, such as products used by influencers, places they enjoy, hobbies, and specialties, is increasing.

However, in the case of the existing advertising method through influencers, sellers have to contact influencers individually and request promotion or advertisement for products, which consumes a lot of time and money for sellers.

In addition, it is difficult for sellers to obtain information about the influencer who will request product promotion or advertisement, and it is difficult to predict the advertising effect that can be obtained when requesting an advertisement from the influencer.

Korean Patent Registration No. 10-2289098

In order to solve this problem, the present invention classifies the influencer based on the number of followers, and the advertising cost is set according to the classified influencer level, thereby providing influencers for product or service marketing. Its purpose is to provide a Ruencer marketing matching system.

Influencer marketing matching system according to the characteristics of the present invention for achieving the above object,

An SNS server that manages following information generated by users, including followers, and stores and manages information about an influencer generating the following information together;

A seller terminal used by a seller who wants to use the influencer matching platform service and advertise products or services;

An influencer terminal used by an influencer who promotes a product and signs a contract with a seller to promote or sell the product; and

An influencer database unit that stores the influencer information received from the SNS server, receives the number of followers of the influencer from the influencer database unit, and is rated S or A based on the received number of followers. Classifying influencer grades into B, C, and D grades, setting advertising costs matching the influencer grades, and displaying the user's preference for the influencer from the influencer database unit. and an influencer matching server comprising an influencer rating processing unit that receives preference information indicating the number of preferences and increases or decreases the influencer rating according to the received preference information.

The influencer rating processing unit receives the preference information increase rate of the influencer for a certain period of time from the influencer database unit, calculates the average value of the preference information increase rate for the certain period of time, and calculates the average value of the preference information increase rate. If the increase is greater than the standard increase, the influencer rating of the influencer is increased by one step, the preference information reduction rate of the influencer is received from the influencer database for a certain period of time, and the preference information decrease rate for a certain period of time Calculate an average value of , and if the average value of the preference information reduction rate is less than a predetermined reference reduction value, the influencer rating of the corresponding influencer is reduced by one level.

The influencer matching server substitutes the received follower count into the follower count table, extracts a follower weight (FW) corresponding to the follower count, and substitutes the received preference information into the preference count table to obtain the preference information It further includes an influencer rating index calculation unit for extracting a corresponding preference weight (Preference Weight, PW).

The influencer rating index calculator calculates the influencer rating index by substituting the follower weight and preference weight into Equation 1, and derives the influencer rating and advertising cost matching the calculated influencer rating index. do.

[Equation 1]

Here, IR is the influencer rating (Influence Rating), FW is the follower weight, and PW is the preference weight.

The influencer rating index calculation unit maintains the current influencer rating of the influencer when the calculated influencer rating index falls within the range of the influencer rating index, and the influencer rating index is greater than or equal to the upper limit of the influencer rating index. , the current influencer rating is changed up by one level, and if it is below the lower limit of the influencer rating index, the current influencer rating is changed down by one level.

According to the configuration described above, the present invention provides sellers with information on influencers who will request product promotion or advertisement, and maximizes the advertising effect by influencers by matching customized influencers desired by sellers. There are possible effects.

1 is a diagram showing the configuration of an influencer marketing matching system according to an embodiment of the present invention.
2 is a block diagram briefly illustrating the internal configuration of an influencer matching server according to an embodiment of the present invention.
3 is a diagram showing an example of an influencer rating table according to an embodiment of the present invention.
4 is a diagram showing an example of a follower count table and a preference count table according to an embodiment of the present invention.
5 is a diagram showing an example of an influencer rating index table according to an embodiment of the present invention.
6 is a diagram showing an example of a follower increase rate table according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, 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 specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numerals have been used for like elements throughout the description of each figure.

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

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this 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 dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, 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 such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. In order to facilitate overall understanding in the description of the present invention, the same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

1 is a diagram showing the configuration of an influencer marketing matching system according to an embodiment of the present invention.

The influencer marketing matching system 100 according to an embodiment of the present invention includes a user terminal 110, a seller terminal 120, an influencer terminal 130, an influencer matching server 140, and an SNS server 150 ).

The user terminal 110 may be a terminal used by a user who uses a service or product to be promoted by an ordinary person, not a business operator, and an influencer matching platform service provided by the influencer matching server 140 .

The seller terminal 120 may be a terminal used by a business operator (seller) using the influencer matching platform service provided by the influencer matching server 140 . Here, the seller may be a business operator having a business registration certificate as a sales business. A seller may include an entity that manufactures, distributes, and/or sells a specific product.

The influencer matching server 140 matches the seller of the seller terminal 120, the general public of the user terminal 110, and the influencer of the influencer terminal 130 to enable the influencer to offer the seller's products and services. may be sold and/or promoted.

The influencer terminal 130 may be a terminal used by an influencer to share purchase-related schedules with users, promote products, and promote or sell products by signing a contract with a seller.

The seller terminal 120 may subscribe to the influencer matching platform service by transmitting seller-related information to the influencer matching server 140 .

The user terminal 110, the seller terminal 120, and the influencer terminal 130 may include a communicable desktop computer, a laptop computer, a notebook, a smart phone, and a tablet PC. (tablet PC), mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera ( digital camera), digital multimedia broadcasting (DMB) player, digital audio recorder, digital audio player, digital video recorder, digital video player, and PDA (Personal Digital Assistant).

The SNS server 150 manages following information generated by users including followers. That is, the SNS server 150 stores and manages following information such as the number of subscribers, likes, notification settings, and comments generated by users.

The SNS server 150 also stores and manages information on visitors (eg, including influencers) who generate following information.

Influencers are 'celebrities' who have tens of thousands to hundreds of thousands of subscribers (followers) on social network service platforms such as Instagram, Facebook, Twitter, blogs, or YouTube.

The SNS server 150 comprehensively analyzes the number of subscribers, likes, notification settings, and comments of following information to extract influencer information.

In the SNS server 150, the number of preferences (e.g., 'Like', 'Share', 'Subscribe', 'Follow', etc.) indicating the user's liking for each influencer based on the following information is extracted every month and stored as preference information of a specific influencer.

Operations described below may be performed through an influencer matching platform service (eg, a web page and/or a kind of application) controlled by the influencer matching server 140 .

Figure 2 is a block diagram briefly showing the internal configuration of an influencer matching server according to an embodiment of the present invention, Figure 3 is a diagram showing an example of an influencer rating table according to an embodiment of the present invention, Figure 4 is a diagram showing an example of a follower number table and a preference number table according to an embodiment of the present invention, FIG. 5 is a diagram showing an example of an influencer rating index table according to an embodiment of the present invention, and FIG. It is a diagram showing an example of a follower increase rate table according to an embodiment of.

The influencer matching server 140 according to an embodiment of the present invention includes a communication unit 141, an influencer database unit 142, an influencer rating processing unit 143, a control unit 144, and an influencer rating index calculation. It includes a unit 145, an advertising cost calculation unit 146 and a data storage unit 147.

The communication unit 141 provides a communication interface for data communication with the user terminal 110 , the seller terminal 120 , and the influencer terminal 130 .

The communication unit 141 communicates with the user terminal 110, the seller terminal 120, and the influencer terminal 130 through a communication network to collect user data or data for providing programs and influencer matching platform services. It performs transmission and reception, and for this purpose, a communication protocol compatible with the communication network is included.

In addition, the communication unit 141 may further include an API (Application Programming Interface) for functional interworking between server management programs compatible with the nurse overseas job placement app.

The influencer database unit 142 may store influencer information received from the SNS server 150 . Here, influencer information includes influencer name and ID, category, rating, total cumulative number of views, total number of videos, total cumulative number of subscribers, total viewer gender ratio, total viewer age ratio, total viewer gender age ratio, total viewer country At least one of the ratios may be included.

The influencer database unit 142 includes the channel ID, phone number, email, region, cumulative view count, cumulative number of videos, cumulative number of subscribers, Facebook link address, Twitter follower count, Twitter link address, Number of Instagram followers, Instagram link address, number of Facebook likes, domestic/overseas ratio, male/female ratio, unit price, age ratio by male, age ratio by female, influencer score, influencer's personal channel You can store all the information an influencer can have, such as sales type information sold through .

The influencer rating processing unit 143 receives the number of followers of the influencer from the influencer database unit 142, and classifies them into S, A, B, C, and D based on the received follower count. It includes an influencer rating table 10 that classifies influencer ratings and sets advertising costs matching the influencer ratings. The influencer rating table 10 is stored in the data storage unit 147 under the control of the influencer rating processing unit 143 .

In more detail, the influencer grade processing unit 143 is grade D when the number of followers is 10K or less, grade C when the number of followers is 10K to 100K, and grade B when the number of followers is 100K to 500K. If the number is 500K to 1M, it is A grade, and if the number of followers is 1M or more, it is divided into S grade. Here, K is 1000 people, M is 1 million people, for example, 10K is 10,000 people and 10M is 10 million people.

The influencer database unit 142 receives the influencer's preference information for a specific period from the SNS server 150, compares the preference information for each influencer over time, and compares the influencer's preference information for a certain period of time. An increase rate and a decrease rate of preference information can be calculated.

The influencer rating processing unit 143 counts the number of preferences (e.g., 'Like', 'Share', 'Comment', etc.) indicating the user's liking for the influencer from the influencer database unit 142 Receive preference information indicating.

The influencer rating processing unit 143 receives the preference information increase rate of the influencer for a certain period from the influencer database unit 142, and calculates an average value of the preference information increase rate for the certain period. For example, the preference information increase rate may calculate an average value for 3 months.

The influencer rating processing unit 143 increases the influencer rating of the corresponding influencer by one step when the average value of the preference information increase rate is greater than or equal to a preset reference increase value (eg, 100%). For example, if the influencer's current influencer grade is B, change the influencer grade to A. Here, the reference increment value can be changed as needed.

The influencer rating processing unit 143 receives the preference information reduction rate of the corresponding influencer for a certain period from the influencer database unit 142, and calculates an average value of the preference information decrease rate during the certain period. For example, the preference information reduction rate may be calculated as an average of 3 months.

The influencer rating processing unit 143 reduces the influencer rating of the corresponding influencer by one level when the average of the preference information reduction rates is less than or equal to a preset reference reduction value (eg, -100%). For example, if the influencer's current influencer grade is B, change the influencer grade to C.

As another embodiment, the following describes a method of setting an influencer rating by calculating an influencer rating index as a method of dividing influencer ratings.

The influencer rating index calculation unit 145 receives the number of followers of the influencer from the influencer database unit 142, and substitutes the received number of followers into the number of followers table 20 in (a) of FIG. to extract the follower weight (FW) corresponding to the number of followers. The follower count table 20 is stored in the data storage unit 147 under the control of the influencer rating index calculation unit 145 .

The influencer rating index calculation unit 145 displays the user's preference for the influencer from the influencer database unit 142 (eg, 'Like', 'Share', 'Comment', etc.) Preference information indicating the number is received, and a preference weight (PW) corresponding to the preference information is extracted by substituting the received preference information into the preference number table 30 of FIG. 4(b). The preference number table 30 is stored in the data storage unit 147 under the control of the influencer rating index calculation unit 145 .

The influencer rating index calculation unit 145 calculates the influencer rating index by substituting the follower weight and preference weight into Equation 1, and the influencer rating and advertisement matching the calculated influencer rating index and the influencer rating index table 40 of FIG. 5 from which costs are derived. The influencer rating index table is stored in the data storage unit 147 under the control of the influencer rating index calculation unit 145 .

Here, IR is the influencer rating index (Influence Rating), FW is the follower weight, and PW is the preference weight.

For example, if the influencer grade index is 7.2, the influencer grade is B and the cost of mining is 5 million won.

However, the influencer rating index calculation unit 145 calculates that the influencer rating index is 7.5 or higher (eg, 7.6), and the current influencer rating of the influencer ranks from B to the influencer rating. Level up and change to class A.

When the influencer rating index calculation unit 145 calculates the influencer rating index in the range of 6.5 to 7.5, the influencer's current influencer rating is maintained as B-class.

When the influencer rating index calculation unit 145 calculates that the influencer rating index is 6.5 or less (eg, 6.4), the influencer's current influencer rating is one step from B to the influencer rating. Change down to C grade.

The influencer rating index calculation unit 145 maintains the current influencer rating of the influencer when the calculated influencer rating index falls within the range of the influencer rating index, and the upper limit value of the influencer rating index If it is above, the current influencer rating is changed up one notch, and if it is below the lower limit of the influencer rating index, the current influencer rating is changed one notch down.

The influencer database unit 142 may compare the number of followers of each influencer over time to calculate a follower increase/decrease ratio of the influencer for a certain period of time.

The control unit 144 receives the follower increase rate of the influencer for a certain period of time from the influencer database unit 142, and calculates an average value of the received follower increase rate for the certain period of time. For example, follower growth rate can be calculated as an average of 3 months.

The control unit 144 substitutes the calculated average value of the follower increase rate into the follower increase rate table 50 of FIG. 6 to derive a follower increase rate weight corresponding to the average value of the follower increase rate. The follower increase rate table 50 is stored in the data storage unit 147 under the control of the control unit 144 .

For example, when the average follower increase rate is 150%, the follower increase rate weight is 1.8.

The control unit 144 interworks with the influencer rating processing unit 143 to multiply the follower growth rate weight derived from the advertising cost of the influencer rating calculated by the influencer rating processing unit 143, and thus the final advertising cost of the influencer. Calculate

For example, if the advertising cost of the influencer level of the current influencer is 5 million won, and the derived follower growth rate weight is 1.4, the final advertising cost is calculated as 500 × 1.4 = 7 million won.

The advertising cost calculation unit 146 receives sales type information that the influencer sells through a personal channel from the influencer database unit 142, and the current influencer rating calculated by the influencer rating processing unit 143 Receives an advertising cost matched to

Here, the sales industry information includes various industries such as interior, food, cosmetics, vehicles, and fashion.

The advertising cost calculation unit 146 calculates the first final advertising cost (F _ac ) by using the following Equation 2 with the advertising cost of the current influencer level and the derived follower increase rate weight.

The advertisement cost calculation unit 146 receives an advertisement request signal including information on the type of business desired for advertisement from the seller terminal 120 through the communication unit 141, and extracts information on the type of business desired for advertisement from the received advertisement request signal. .

The advertising cost calculation unit 146 compares the sales type information of the influencer database unit 142 with the type of business information desired for advertising, and sets the type of industry weight to 1.3 if they match, and sets the type of industry weight to 1.3 if they do not match. set to 1

Here, F _ac (Final Advertising Cost), I _ac is the current influencer level advertising cost (Influencer Advertising Cost), FGR _w is the Follower Growth Rate Weight, and I _w is the Industry Weight (Industry weight). Here, the default setting value of the industry weight is set to 1.

For example, if the advertising cost of the current influencer's influencer rating is 5 million won, the derived follower growth rate weight is 1.4, and the industry information is matched and the industry weight is 1.3, the final advertising cost is 500 × 1.4 × 1.3 = 9.1 million won.

The advertisement cost calculation unit 146 receives information on the type of business desired for advertisement from the seller terminal 120 through the communication unit 141 .

The advertising cost calculation unit 146 analyzes the mutual relationship between the industry type, sex ratio, and age group to determine which type of industry information received from the seller terminal 120 is preferred among men and women, male age group, and female age group.

The advertising cost calculation unit 146 extracts the sex ratio and age group with high preference for information on the type of business that the seller terminal 120 wishes to advertise.

For example, if information about the industry for which advertisement is desired is cosmetics, it is possible to determine preferred men and women, male age group, and female age group according to the industry information, such as a high probability that a woman in her twenties prefers it. The mutual relationship between the sex ratio and the age ratio according to the type of industry information may be known information.

The influencer database unit 142 stores sales type information of influencers, male/female ratio, male age ratio, and female age ratio. For example, the influencer may be 91.6% female, 8.3% male, and age ratio information such as 54% in their 20s, 23% in their 30s, 12% in their 40s, and 11% in their 50s.

The advertising cost calculation unit 146 interlocks with the influencer database unit 142 to match the industry information received from the seller terminal 120 for advertising desired and the sales industry information of the influencer, and the corresponding influencer If the sex ratio or age ratio of is 80% or more, the second final advertisement cost is calculated by multiplying the first final advertisement cost by the preset additional cost index using Equation 3 below. The first final advertising cost means F _ac (Final Advertising Cost).

Here, the additional cost index is set to 1.5 and may be changed as needed.

For example, if the advertising cost of the current influencer's influencer rating is 5 million won, the derived follower growth rate weight is 1.4, and the industry information is matched and the industry weight is 1.3, the final advertising cost is 500 × 1.4 × 1.3 × 1.5 = 13.65 million won.

The user terminal 110 and the seller terminal 120 may request an influencer search request signal indicating influencer matching from the influencer matching server 140 by setting industry information and advertisement cost as an influencer search term. .

In the received influencer search request signal, the control unit 144 interlocks with the influencer database unit 142 when the influencer search term is industry information and advertising cost information, so that the industry information is the same as the sales industry information of the influencer. and search for one or more influencer information whose advertising cost is equal to the advertising cost according to the influencer's current influencer rating.

The control unit 144 includes one or more searched influencer information in a response signal to the influencer search request signal and transmits it to the user terminal 110 or the seller terminal 120 through the communication unit 141 .

Operations according to the embodiments of the present specification can be implemented as computer-readable programs or codes on a computer-readable recording medium. A computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored. In addition, computer-readable recording media may be distributed to computer systems connected through a network to store and execute computer-readable programs or codes in a distributed manner.

When the embodiment is implemented as software, the above-described technique may be implemented as a module (process, function, etc.) that performs the above-described functions. A module can be stored in memory and executed by a processor. The memory may be internal or external to the processor, and may be coupled with the processor in a variety of well-known means.

In addition, the computer-readable recording medium may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. The program command may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine code generated by a compiler.

Although some aspects of the present invention have been described in the context of an apparatus, it may also represent a description according to a corresponding method, where a block or apparatus corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also be represented by a corresponding block or item or a corresponding feature of a device. Some or all of the method steps may be performed by (or using) a hardware device such as, for example, a microprocessor, programmable computer or electronic circuitry. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (eg, a field programmable gate array) may be used to perform some or all of the functions of the methods described herein. In embodiments, a field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. Generally, methods are preferably performed by some hardware device.

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

100: influencer marketing matching system 102: communication network
110: user terminal 120: seller terminal
130: influencer terminal 140: influencer matching server
141: communication unit 142: influencer database unit
143: influencer rating processing unit 144: control unit
145: Influencer rating index calculation unit 146: Advertising cost calculation unit
147: data storage unit 150: SNS server

Claims (5)

An SNS server that manages following information generated by users, including followers, and stores and manages information about an influencer generating the following information together;
A seller terminal used by a seller who wants to use the influencer matching platform service and advertise products or services;
An influencer terminal used by an influencer who promotes a product and signs a contract with a seller to promote or sell the product; and
An influencer database unit that stores the influencer information received from the SNS server, compares the number of followers over time for each influencer, and calculates the increase/decrease ratio of the influencer's followers for a certain period of time; The number of followers of the influencer is received from the influencer database unit, and based on the received number of followers, the influencer class is classified into S class, A class, B class, C class, and D class, and the influencer Advertising cost matching the rating is set, preference information indicating the number of preferences indicating the user's liking for the influencer is received from the influencer database, and the influencer rating is determined according to the received preference information. An influencer rating processing unit that raises and lowers, receives the follower increase rate of the influencer for a certain period of time from the influencer database unit, calculates the average value of the received follower increase rate for a certain period of time, and calculates the follower An influencer matching server composed of a control unit for deriving a follower increase rate weight corresponding to the follower increase rate by substituting an average value of the increase rate into a follower increase rate table,
The control unit calculates the final advertising cost of the influencer by multiplying the derived follower increase rate weight by the advertising cost of the influencer level calculated by the influencer rating processing unit,
The influencer matching server receives sales type information sold by the influencer through the personal channel from the influencer database unit, and the advertising cost matched to the current influencer level calculated by the influencer level processing unit Including an advertising cost calculator to receive,
The advertising cost calculation unit calculates a first final advertising cost (F _ac ) using the advertising cost matching the influencer level and the derived follower increase rate weight, and provides information about a desired type of advertisement from the seller terminal receiving an advertisement request signal including the received advertisement request signal, extracting industry information for which an advertisement is desired from the received advertisement request signal, and comparing the sales industry information of the influencer database unit with the industry information for which the advertisement is desired, and matching the information; Set the sector weight to 1.3, if not matched, set the sector weight to 1,
The first final advertising cost (F _ac ) is derived based on the following equation,

The I _ac denotes the current influencer level advertising cost (Influencer Advertising Cost), the FGR _w denotes the follower growth rate weight, the I _w denotes the industry weight,
The influencer database unit stores influencer sales type information, male/female ratio, male age ratio, and female age ratio,
The advertisement cost calculation unit analyzes the mutual relationship between the industry, gender ratio and age group to determine whether the industry information received from the seller terminal has a high preference among men and women, male age groups, and female age groups, and advertisements of the seller terminal Extract the sex ratio and age group with high preference for the industry information you want,
If the type of business information received from the seller terminal and the information on the type of sales of the influencer match, and the gender ratio or age ratio of the influencer is 80% or more, the following formula is used to set additional Calculate a second final advertising cost by multiplying the cost index by the first final advertising cost (F _ac );

The additional cost index is set to 1.5,
The user terminal used by the user using the influencer matching platform service, not the seller, and the seller terminal set industry information and advertising costs as influencer search terms to send an influencer search request signal indicating influencer matching. Request to the influencer matching server,
When the influencer search word in the received influencer search request signal is industry information and advertisement cost information, the control unit determines that the industry information in the influencer database unit is the same as the sales industry information of the influencer, and the advertisement Search for one or more influencer information whose cost is equal to the advertising cost according to the influencer's current influencer rating, and include the retrieved one or more influencer information in the response signal to the influencer search request signal Transmitted to the user terminal or the seller terminal through the communication unit,
The influencer matching server substitutes the received number of followers into the number of followers table to extract a follower weight (FW) corresponding to the number of followers, and substitutes the received preference information into the number of preference table to obtain preference information Further comprising an influencer rating index calculation unit for extracting a preference weight (PW) corresponding to
The influencer rating index calculation unit calculates the influencer rating index by substituting the follower weight and preference weight into the following equation,

The IR represents the Influence Rating, the FW represents a follower weight, and the PW represents a preference weight,
Deriving an influencer rating and advertising cost matching the calculated influencer rating index,
Influencer marketing matching system. delete delete delete The method of claim 1,
The influencer rating index calculation unit maintains the current influencer rating of the influencer when the calculated influencer rating index falls within the range of the influencer rating index, and the upper limit of the influencer rating index Influencer marketing matching system that changes the current influencer rating up by one step if it is above, and changes the current influencer rating down by one step if it is below the lower limit of the influencer rating index.

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