KR101896668B1 - Peopluence posting advertisement service system and method thereof - Google Patents

Abstract

The present invention relates to a peopluence posting advertisement service system using machine learning and a method thereof. After an advertiser completes budget charging in a peopluence posting advertisement service system, influencers having many followers and influence in an SNS channel are analyzed by machine learning to be divided into SS/S/A/B/C ratings for each category based on the influence of influencers having many followers for each field. Campaign creation, influencer list provision, influencer invitation of an advertiser, and machine learning are used to provide an artificial intelligence matching influencer marketing platform for matching an advertiser and an optimal influencer and a counseling function of an advertiser and an influencer by a video call/chatting. An advertiser carries out an advertisement campaign by a selected influencer. An advertisement is posted in an SNS channel of an influencer in advertisement exposure time, and compensation (advertisement expenses or products) is paid to participating influencers for each rating after the campaign ends. Campaign statistics analysis data for monitoring advertisement exposure effects such as advertisement hits/comments/like-it hits/sharing hits reactions in an SNS channel of an influencer are provided. Real-time campaign reports and final campaign reports are provided. Advertising and marketing are provided through influencers having many followers on an SNS channel. A shopping mall server URL is connected by linking to an advertisement to provide online orders/payments/and sales.

Description

Field of the Invention < RTI ID = 0.0 > [0001] < / RTI &

[0001] The present invention relates to a system and method for posting advertising for people using posting, and more particularly to an advertising platform for connecting an advertiser and an influencer to advertisers, After finishing the budgeting, Influencer influencing the SNS channel is analyzed by machine learning, and divided into SS / S / A / B / C grades based on the influence of Influencer with many followers in each field , Campaign creation, in-flight email list offering, advertiser invitation invoicing, invoicing, and machine running to match advertisers with the best in-flight advertiser. It provides the consulting function of the advertiser. The advertiser carries out the advertisement campaign through the selected Influencer, (Advertising expenses or commodity) to the influ publisher who participated in the posting of the advertisement on the SNS channel of the advertisement and after the end of the campaign, and the advertisement viewing / comment / likes / Peoplelon posting advertising service using machine learning, which provides campaign real-time reports including campaign statistical analysis data for monitoring ad exposure effects, campaign final reports, and online sales by linking shopping mall server URLs in conjunction with advertisements System and method.

Offline marketing is limited in marketing activities for products and services due to product and service positioning by segmenting the market according to the company's STP and 4P marketing strategy and selecting the target market.

Recently, users of the world share information through a social network service (SNS) system such as the Internet, a blogger, and Facebook, and marketing utilizing such a social network service system is being introduced.

In the related art 1, Patent Publication No. 10-2014-0085613 discloses a "social marketing system, server and method ", and the social marketing system includes a plurality of social network services (SNS) An e-lead platform for acquiring message data and SNS message data acquired by the e-lead platform, selecting a target for marketing among the purchasable customers extracted from the collected SNS message data, And a social marketing server for conducting marketing by sending a marketing message to the target and the influencer of the target.

1, the network according to the present invention includes a plurality of social network service systems 10, an e-lead platform 20, a social marketing server 100, and a plurality of user terminals 31 , 32, 33).

A plurality of SNS systems 10 may be a service system that shares information with social groups on a network, such as, for example, tweeter, facebook, blog, you-tube, to be.

The e-lead platform 20 calls the plurality of SNS systems 11 to 14 to obtain SNS message data on the SNS system 10 and transmits the SNS message data acquired on the SNS system 10 to the social marketing server 100). At this time, the information about the SNS systems 11 to 14 called by the e-lead platform 20 may be registered in advance, and the information about the SNS system may be added or deleted in the middle according to the embodiment.

The e-lead platform 20 may be implemented as a software module within the social marketing server 100, and may be implemented on the SNS system 10, depending on the embodiment. Of course, the e-lead platform 20 may be implemented on a separate unit from the social marketing server 100 and the SNS system 10. [ As described above, the form in which the e-lead platform 20 is implemented is not limited to any one, and can be variously applied according to the embodiments.

The social marketing server 100 collects SNS data from the SNS systems 11 through 14 via the e-lead platform 20 and analyzes the collected data to determine the availability of a marketing product, Targeted customers and direct / indirect marketing to Influencers that affect the purchase of vehicles by target and target. At this time, the social marketing server can perform indirect marketing on the target by performing marketing to the target influencer, and may directly conduct marketing on the target terminals 31, 32, and 33 through the mobile network.

The social marketing server 100 includes a data collecting unit, an analyzing unit, a target extracting unit, and a marketing message processing unit. In addition, the social marketing system may further include a monitoring unit.

First, the data collecting unit cooperates with the e-lead platform to collect data such as SNS messages acquired by the e-lead platform. At this time, the data collecting unit can collect the customer information corresponding to the data, for example, the ID of the customer, the network connection information and the community information together in the SNS system.

Here, since the data collected by the data collecting unit is data collected from a plurality of SNS systems, the collected data may be stored with a separate mass storage space.

The analyzing unit analyzes a large amount of data collected by the data collecting unit to extract a customer who is likely to purchase the marketing product from the large amount of data. At this time, the analyzing unit calculates the purchasable index for each customer from a large amount of data, and extracts a customer who has a possibility of purchasing a marketing product according to the calculated purchasable index for each customer.

The purchasable index for each customer analyzes the keywords included in the SNS message among the collected data to analyze whether or not the keywords related to the marketing product are included and the customer's response thereto, for example, emotional keywords such as good or bad And extract each customer.

Thus, the analytical department extracts the purchasable indexes for customers and customers who are likely to purchase.

The target extracting unit extracts a target for marketing according to the purchasable index of customers having the possibility of purchasing extracted from the analyzing unit. As an example, the target extracting unit extracts a customer whose purchasable index is equal to or greater than a predetermined value as a target.

At this time, the target extracting unit extracts the influluencer for the target based on the extracted link information of the target, and also extracts the community information for marketing to the target and the influluencer.

And provides an analysis model for the target and the influencer extracted by the target extracting unit.

The marketing message processing unit directly or indirectly executes the marketing to the influruencer corresponding to the target and the target extracted by the target extracting unit. Specifically, the marketing message processing unit transmits indirect marketing to the target by transmitting a marketing message to the influencer. In addition, the marketing message processing unit allows direct marketing by sending a marketing message to the target.

As an example, the marketing message processing unit may perform indirect marketing to influers first, and then secondarily target the target directly to the target according to the performance of the indirect marketing by the influencer. The marketing message processing unit may transmit a marketing message to both the target and the influencer according to the embodiment.

The monitoring processor monitors the performance of the direct or indirect marketing by the marketing message processor and analyzes the correlation of the marketing message transmission and sales to the target or influencer.

The monitoring processing unit may transmit the monitoring result to the marketing message processing unit. For example, the marketing message processing unit may monitor the marketing performance of the target after the marketing message is transmitted to the influencers, and may transmit the monitoring result to the marketing message processing unit. Accordingly, the marketing message processing unit can transmit the marketing message to the target based on the monitoring result from the monitoring processing unit.

The social marketing server monitors the marketing results of the targeted and targeted influencers and analyzes marketing performance.

Patent Publication No. 10-2014-0085613 (Published on July 08, 2014), "Social Marketing System, Server and Method", Hyundai Motor Company, KIA Motors Corporation

It is an object of the present invention to solve the problems of the prior art that Peopluence is an advertising platform for connecting an advertiser and an influenza player so that after the advertiser completes the budget charging on the People's Platform, Influencer is analyzed by machine learning and divided into SS / S / A / B / C grades based on Influencer's influence with many followers. Campaign creation, Influencer list is provided, It provides an intelligent matching Influencer marketing platform that matches the advertiser with the best influencer by using invitation and machine learning. It provides the consultant function of the advertiser and influencer through video call / chat, The campaign was conducted through the Router, and during the advertisement time, advertisement posts were posted on Influencer's SNS channel, Campaigns that contain campaign statistical analysis data that monitors the effectiveness of ad impressions, such as ad views / comments / likes / shares responses, in the Influencers SNS channel. Report, and campaign final report, and provides online sales by linking shopping mall server URL in connection with advertisement, and provides a Peoplelounge posting advertisement service system using machine learning.

It is another object of the present invention to provide a method of posting a Peoplelounge posting advertisement using machine learning.

In order to achieve the object of the present invention, a Peoplelounge posting advertisement service system using machine learning includes at least one SNS server providing SNS service; S / A / B / B, and the like, which are connected to the user terminal through wired / wireless communication and interworked with the SNS server. After the advertiser completes the budget charging, the infoline documents having followers in the SNS channel are analyzed by the machine learning analysis unit, C, and create campaigns, search / invite influluencers, invite influencers / proposals, provide influencer lists, match machine advertisers and influencers by machine learning, and match advertisers through video calls and chat The advertiser sends and receives the consultation data of the influencer. The advertiser carries out the advertisement campaign during the advertisement exposure time through the SNS channel of the selected Influencer. Includes campaign statistical analysis data to monitor the impact of ad impressions on view / comment / likes / share responses on the SNS channels of influenza. A campaign real-time analysis report, and a campaign final analysis report; A user terminal with a PeopleLounge service web or app installed; And a video call server for transmitting and receiving video call data for consulting an advertiser and an advertisement campaign selected from the recommended influenza list; And a chat server for sending and receiving chat data for consulting with the advertiser about whether or not an advertisement campaign is to be made with the influluencer selected from the recommended influluencer list,
The People's Services web and apps include People's Lounge services, advertiser and Influencer sites, video chat sites with advertisers and Influencers,
The Influencer site is provided with a campaign, a list of participating campaigns, a My Page, My Information and Participation Campaign information screen, a channel influence, and a channel influence analysis information screen,
The invitation list and the recommendation list are displayed in the participation list of the invitation screen, and the ID, the reaching rate and the advertisement price of the influluencers having many followers are displayed according to the campaign category,

If an advertisement product is selected on the SNS channel and the campaign is released, the influenza player can participate freely. If the campaign is not made public on the SNS channel, the advertisement is invited only by the advertiser.

In order to achieve the other object of the present invention, a method of posting a personality posting advertisement service using machine learning includes the steps of: (a) providing a personality posting advertisement service system to a user terminal S / A / B / C level by analyzing the inflow documents with followers in the SNS channel by the machine learning analysis unit after the advertiser completes the budget charging, Matching inflation documents with advertisers by invitation / invitation of influences, participation / proposals of influencers, provision of influencer list, and machine learning; (b) a video call server for sending and receiving video call data for consulting an advertiser with an influenza selection selected from a recommended influenza list, and (b) an inflator and advertisement selected from the advertiser and the recommended influenza list Transmitting and receiving consultation data of an inflator matched with an advertiser through a video call and a chat by a chat server transmitting and receiving chat data for consulting whether or not a campaign exists; And (c) the advertiser performs the advertisement campaign at the advertisement exposure time through the SNS channel of the selected influencer, and compensates the participating influers after the campaign to the advertising expenses or the goods according to the respective grades,
The People's Services web and apps include People's Lounge services, advertiser and Influencer sites, video chat sites with advertisers and Influencers,
The Influencer site is provided with a campaign, a list of participating campaigns, a My Page, My Information and Participation Campaign information screen, a channel influence, and a channel influence analysis information screen,
The invitation list and the recommendation list are displayed in the participation list of the invitation screen, and the ID, the reaching rate and the advertisement price of the influluencers having many followers are displayed according to the campaign category,

If an advertisement product is selected on the SNS channel and the campaign is released, the inflourer can freely participate, and if the campaign is not made public on the SNS channel, the advertisement is invited only by the invitation of the advertiser.

The system and method for providing personalized advertising services using machine learning in accordance with the present invention is characterized in that after an advertiser completes budgeting on the People's Platform, Influencer having influence on the SNS channel is analyzed by machine learning, It is divided into SS / S / A / B / C grades based on the influence of Influencers which have many followers in each field. It is optimized for advertisers by using Campaign creation, Influencer list, Advertiser's Influencer invitation, It provides an intelligent matching Influencer marketing platform that matches the Influencer of the advertiser and the consulting function of the advertiser and Influencer through the video call / chat. The advertiser runs the advertisement campaign through the selected Influencer, For the time being, posting the advertisement on the SNS channel of Influencer, and rewarding the Influencers who participated after the campaign, ) Is paid.

The People's Platform also provides campaign statistical analysis data that monitors the impact of ad impressions, such as ad views / comments / likes / shares responses, on the Influencers SNS channel, and provides campaign real-time reports and campaign final reports. It provides advertising and marketing through in-flight advertisements with many followers in SNS channels. It also connects shopping mall server URLs online in connection with advertisements to facilitate online purchase / payment / .

1 is a network diagram of a conventional social marketing system.
FIG. 2 is a conceptual diagram of a People Radio posting advertisement service system using machine learning according to the present invention.
Fig. 3 is a flowchart showing a People Loans posting advertisement service process using machine learning.
Fig. 4 is a screen for analyzing influen process based on machine learning.
FIG. 5 shows an example in which an advertiser is divided into SS / S / A / B / C grades based on the influential influence of the advertiser after the completion of the budget charging. Influencers online matching screen.
Figure 6 is a screen shot of the campaign participation and points of the Influencer.
FIG. 7 is a screen view showing a campaign real-time analysis report for monitoring the effect of advertisement exposure such as posting of the influenza and SNS channel, exposure time, views / comments / likes /
FIG. 8 is a screen showing a business model in which an advertiser is divided into SS / S / A / B / C grades based on influential influencers after the completion of the budget charging, and rewards are awarded for each grade.
FIG. 9 is a configuration diagram of a people running posting advertisement service system using machine learning according to the present invention.
10a to 10h show an advertiser site-start guide, 10a an overview service, 10b an advertisement campaign product introduction, 10c an advertiser member registration, 10d a campaign basic information input, 10e a campaign detailed information input, 10g is campaign real time analysis report, and 10h is the final performance and expected performance comparison screen.
11A to 11C show an advertiser site-campaign, 11a denotes campaign information input-basic information, detailed information, 11b denotes an invitation letter invitation, and 11c denotes an invitation letter suggestion screen.
Figs. 12A to 12C show an advertiser site-influencer, 12a a member influencer search, 12b a non-member influencer search, and 12c an influar analysis screen.
13 is an advertisement site-report, real-time, and final report screen.
14 and 15 are Influencer Site-Campaign, 14 is a list of participating campaigns, and 15 is a campaign participation screen.
FIG. 16 is an information screen for an influencer site - My Page, My Information and Participation Campaign.
17 is an influencer site-channel influence and my channel influence analysis information screen.

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

FIG. 2 is a conceptual diagram of a People Radio posting advertisement service system using machine learning according to the present invention.

Peopluence using machine learning Peopluence is an advertising platform that connects advertisers and influenza advertisers. It is an advertising platform that allows advertisers to invest in Peopluence posted advertising service systems. After completing the charge, Influencer with influence on the SNS channel is analyzed by machine learning and classified into SS / S / A / B / C rating based on Influencer's influence with many followers. Sharing campaigns, creating campaigns, providing an in-flight email list, inviting advertisers to invite influencers, and using machine learning to match advertisers with the best in-flight advertisers. It provides the consulting function of the Influencer, and the advertiser carries out the advertisement campaign through the selected Influencer. At the time of ad exposure, Influencer's SN (Advertising expenses or commodity) are paid to each influenzae who participated in the posting of the advertisement on the S channel and after the end of the campaign, and the advertisement exposure such as the advertisement view / comment / likes / share response in the Influencer SNS channel Provides campaign statistical analysis data monitoring effects, real-time campaign reports, campaign final reports, advertising and marketing through in-flight advertisers with many followers on SNS channels,

It connects shopping mall server URL in connection with advertisement and provides online order / settlement / sales / delivery at direct shopping mall server to promote consumers' purchase in online market.

Influencer marketing is one of SNS marketing, which means marketing through advertisement of new products or products through posting of new products through influential influenza.

Influencer has hundreds and thousands of followers with many followers on social network services (SNS) channels such as blogs, Facebook, Instagrams and Twitter, Leading and influential in SNS channels such as creator-type influenza producers of content and well-known researchers in science and technology with many followers, famous sportsmen / athletes, famous writers, entertainers, fashion / beauty models Which can be divided into influx letters.

For example, the propensity to select advertisers as "influencers" when they want to advertise "sports apparel" is a popular sportsman / athlete with many followers on the SNS channel online. If the advertiser wants to advertise "cosmetics", he / she will select the model of fashion / beauty sector with many followers of SNS channels online as Influencer.

The advertiser fills up advertising costs on the People's Lane platform, the People's Loyalty posting advertising service system matches the best inflows with similar followers and many followers by machine learning, and the Influencer chosen by the advertiser We have added Influx's advertising content to our SNS channel, which has a lot of followers in categories (IT-electronics, automotive, food, cosmetics, clothing, camping equipment, hotels / resorts / By advertising to a large number of followers through SNS channels, advertisers can advertise corporate products, increase advertising effectiveness during short ad exposure times in the online market, and attract a large number of consumers to purchase products from the company.

Peoplelon's platform uses artificial intelligence machine learning basis to analyze the influence, inflation, age, and area of the analysis data, and according to the advertiser's advertising tendency, artificial intelligence analyzed by machine learning analysis department We use campaigns that match people with similar characteristics and have many followers, match advertisers with influencer lists, and use PeopleLearn's analytics technology to preview the performance of advertisers' It can proceed more effectively.

The trend of influenza is that the trend of the influenza is the food / food, the hobby / the leisure, the liquor / the entertainment, the culture / the performance, the travel / leisure, the beauty / Game, companion animal, living / kitchen, furniture / interior.

Influencers are divided into SS / S / A / B / C grades based on the influence of the SNS channels. Influencers are classified according to each grade and compensation (reward, advertising expense, commodity) is paid after the campaign is completed.

Fig. 3 is a flowchart showing a People Loans posting advertisement service process using machine learning.

When an advertiser commits an advertisement to a PeopleLounge posting advertising service system, after choosing a Peoplelounge membership and budgeting, select a campaign type and enter the participation criteria (eg, more than 2300 followers, occupation: athlete, category: sports) Set the campaign budget.

Peoplelounge posting advertising service system uses machine learning to determine the optimal influencer (based on sex, age, inclination, region, number of followers, etc.) influenza analysis (classified by SS / S / A / B / Yes, Category: Sports, Occupation: Athletes, more than 2300 followers), providing an in-flight email list, searching / inviting influluencers, participating in / Progress, and campaign real-time reporting.

When the selected Influencer campaign is in progress, Influencer adds advertising content to its own SNS channel, performs influencer marketing, and affects ad exposure time, views / comments / likes of SNS channels of Influencers participating in the campaign. The report provides real-time campaign reports and campaign final reports with numerical and graphical visuals that provide campaign statistical analysis data to monitor ad exposure effects such as frequency / number of shares / message transmission times.

Upon termination and settlement of the campaign, the user terminal can view the final report of the campaign, and the user terminal can select either one of CPP (Per Post Charge), CPC (Per Click Charge), CPV .

Peoplelounge posting advertising service system, when the platform advertisement commission income comes, settle the budget of the campaign budget, settle the infl uence advertisement fee, and pay the advertisement expenses of the influe publishers participating in the ad campaign.

Fig. 4 is a screen for analyzing influen process based on machine learning.

The advertiser uses personalized analysis data such as gender, age, inclination, region, lifestyle, and follower number of the influenza analyzed based on the artificial intelligence technique machine learning of the platform, Campaigns can be more effectively carried out with the analytical technology only of the un-posting advertisement service system.

Influencer is able to participate in strategic advertising campaigns by learning more about the influence of their SNS channel with many followers online.

* SNS average performance and impact analysis

- Based on the analysis, you can set the price of your grade and advertising campaign, and you can preview your performance.

* By using machine learning such as inclination, gender, age range, activity area, lifestyle, etc. of the follower subscribing to Influencer (advertisement target), it is possible to achieve high ROI Investment, return on investment).

* Analyze trends in influencers' influence and provide meaningful information to advertisers and influencers on strategic campaigns and SNS channel management.

FIG. 5 is a graph showing the distribution of the advertising rewards (advertisement expenses, commodity prices, and the like) of the advertisement campaigns by dividing the advertisers into SS / S / A / B / C grades based on influencers' Gift certificates) are rewarded.

* Campaign can be set online or offline, including whether the campaign is open / closed, execution method,

* When creating an advertisement campaign, Influencer completes its campaign creation by simply creating a reference and hash tag

* Based on the advertiser's preference, we recommend the best influencer analyzed by AI

FIG. 6 shows an example of the participation and point screen of the Influencer.

The Influencers Ad Campaign page, and the Campaign Engagement page.

* When joining Influenza, posting price is set according to classified influence (follower number) according to grade, and reward (advertisement cost, product / gift certificate) can be received as much as influence.

* Influencers are also free to participate in campaigns when advertisers accept only public campaigns.

* Rewards can be earned with points or PR products that are eligible for 1: 1 reimbursement by cash for participating in the campaign.

FIG. 7 is a screen view showing a campaign real-time analysis report for monitoring the effect of advertisement exposure such as posting of the influenza and SNS channel, exposure time, views / comments / likes /

* Real-time performance reports of campaigns that can monitor the posting and SNS channels of the influenza, and the reactions at a glance

* Ability to analyze the sensitivity of the ad target to the advertiser's brand campaign

* Prior to the campaign, PeerLearn provided a meaningful comparison of advertiser's marketing strategy with the comparison of predicted advertising performance and final performance.

FIG. 8 shows a business model in which an advertiser is divided into SS / S / A / B / C grades based on influence of an influenza SNS channel after finishing the budget filling, Screen.

* After completing your budget, you will be charged the amount of your campaign budget (including advertising revenues, merchandise / gift certificates) and People's Loyalty posted advertising service platform usage fees, depending on the performance per posted, clicked, .

* Influencers are divided into SS / S / A / B / C grades based on influence. Influencers are classified according to each grade and compensation (reward, advertising cost, product / gift certificate) is paid.

Multiple influenza types can be selected for an ad campaign.

For example, an advertiser's corporate products (cosmetics, sportswear, and electronics) are selected differently, and Influencer is a power blogger, a facebook user with more than 5,000 followers online on Facebook, (Politicians, entertainers, athletes).

SNS channels include blogs, Facebook, Twitter, and Instagrams.

The advertisement posting form uses the advertisement image, the animation video, the VR movie, and the advertisement video.

* Compensation by Influencers for advertising campaigns and Peoplelounge posting advertising service platform usage fees are settled and distributed after the campaign is completed.

* At this time, the amount of the platform usage fee excluding the Influenza Rewards is the core profit structure.

FIG. 9 is a configuration diagram of a people running posting advertisement service system using machine learning according to the present invention.

The people running posting advertisement service system using the machine running of the present invention

At least one SNS server for providing SNS services such as blog, Facebook, Instagram, and Twitter; The machine learning analyzing unit analyzes the inflow documents that are connected to the user terminals 110, 200 and 210 through wired / wireless communication and interworked with the SNS server and have a large number of followers on the SNS channel after the advertiser completes the budget charging, It is divided into / S / A / B / C grades. Campaign creation, search / invitation of influence document / invitation, participation / proposal of influence, provision of influence list, machine learning, And chat data, and the advertiser sends advertisement data through the SNS channel of the selected Influencer, and the advertisement campaign is performed during the advertisement exposure time. , And monitors the impact of ad impressions on views / comments / likes / shares responses on the Influencers SNS channel. A campaign real-time analysis report that includes campaign statistical analysis data, a People Run posting advertising service system that provides a campaign final analysis report; And a user terminal 110, 200, 210 in which a People's Service web or app is installed,

When the advertisement product is selected on the SNS channel and the campaign is released, the influencer can freely participate. If the campaign is closed, the advertisement is invited only by the advertiser.

The system includes a shopping mall server 400 interworking with the advertisement posting unit of the people list posting advertisement service system 300 and providing online ordering, settlement, sales, and delivery in cooperation with the shopping mall server URL at the same time as the advertisement .

The user terminal includes a PC 110 or a smart phone 200 and a smart pad 210 in which the Personal Loan service app is installed.

User terminal - Peoplelounge posting advertisement service system - The SN server is communicated in the client-dispatcher-server structure.

The People's Posting advertisement service system 300

A web server 301 for connecting the user terminal with the Internet through wired / wireless communication;

We invite influencers classified as SS / S / A / B / C by artificial intelligent machine learning to pay Influencer compensation according to the performance per posting / click / Advertising expenses, merchandise / vouchers) and the use of the People's Rhythm platform, and matching the advertiser with the Influencer by machine-learning to run advertising campaigns through selected Influencers. A personality control unit 302 for controlling each function of the service;

A membership subscription unit 303 for registering People Loans service member information;

A user authentication unit 304 for authenticating a user for ID and Passwd at login;

An advertiser registration unit 305 for registering advertiser information for a personal service;

An Influencer registration unit (306) for registering Influencer information having a large number of followers in the SNS channel;

A budget charging unit 317 for receiving the budget of the advertiser;

Based on the intelligent machine-based training on SNS channels, we analyze influenza of more than a certain number of people using classified data such as gender, age, inclination, region, lifestyle, follower number of influenza, It is divided into SS / S / A / B / C class according to the number of people and recognition, and classified by category. Campaign creation, search / invitation of influence document, participation / proposal of influence, provision of influence document, A machine learning analysis unit 307 for matching the optimal influers having the same tendency with the advertiser and having a large number of followers and providing a campaign real time report and a campaign final report in conjunction with the statistical analysis unit;

An influenza search / invitation, an influencer participation / proposal, an influenza list provided from the machine learning analysis unit 307 to an advertiser, providing an influarist list, an advertiser providing at least one inflation list Invitation unit 308 for inviting and selecting Lueness;

An advertiser / influenza processor that receives an influenza list provided from the machine learning analysis unit 307 and uses machine learning to match the most optimal influencer with the same propensity to the advertiser and many followers in an artificial intelligence manner A matching unit 309;

An advertisement posting unit 310 for posting any one of an image, an animation, a VR movie, and an advertisement video including an advertisement campaign according to a posting type on an SNS channel of an influluencer matched with the advertiser;

And provides campaign statistical analysis data for monitoring the advertisement exposure time of the SNS channel of the influenza participants participating in the advertisement campaign and the advertisement exposure effect of the number of views / comments / likes / A statistical analysis unit 311;

The campaign final report can be viewed at the end of the campaign and settlement. It will be charged per CPP, CPC and CPV according to the billing criteria type. A settlement unit 312 for settlement of the campaign budget commission when revenue is generated, a settlement unit 312 for settlement of the influencer advertisement expense and to pay the advertisement expenses of the influencers participating in the campaign, And

A database (DB) for storing member information, advertiser information, infoline information, machine learning analysis information, campaign information, advertiser / infuser matching information, campaign real time report, campaign final report information, statistical analysis information, ) ≪ / RTI >

In addition, the Machine Learning Analysis Division clusters the sex, age, educational background, occupation, and inclination of the influen- ce and followers on the SNS channel according to their tendencies, Through the questionnaire items (7 to 10 items), consumers' product preferences (observable information of statistical Markov models) are provided to provide information on consumer behaviors of many buyers in the cloud.

PeopleLearns service analyzes customer needs and consumer behavior and selects market segmentation according to marketing 4P strategy and STP strategy and selects target market of segmented market to collect information such as Producer, Wholesalers, Retailers (Distribution pattern, price, consumption pattern, lifestyle) by consumer's behavior by age and age by positioning product and service with design and quality to consumers, By marketing with Brand Image with products and services, we can secure a sustainable competitive advantage (product strategy, brand strategy, customer acquisition strategy) through competitors, SWOT analysis, STP analysis and 4P strategy.

In addition, the People Loans posting advertisement service system includes a video call server 313 for sending and receiving video call data for consulting an advertiser and an advertisement campaign selected from the recommended influenza list; And / or

And a chat server 314 for sending and receiving chat data for consulting with the advertiser about whether or not the advertisement campaign is selected with the influluencer selected from the recommended influluencer list.

The PeopleLounge posting advertisement service system can transmit and receive the video chat data between the advertiser and the inflator by interfacing the video call server and the chat server on one screen.

Campaign real-time analysis reports show categories (eg, IT-smartphone-electronics), postings (image postings / video postings), recruitment dates,

Campaign real-time performance monitoring and advertising target emotional analysis analyzes the reaction of people (ad hits, empathy, likes, comments, scrap-sharing, etc.) to advertising brand by each influencer and displays it in numbers and graph.

After the campaign ends, the campaign final performance report will show the category (eg IT-smartphone-electronics), posting form (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date, The number of views, likes (sympathy), comments, scraps (share), final performance and expected performance are displayed in numbers and graphs. Performance indicators, emotional analysis, distribution by OS, funnel, In addition,

Performance metrics provide reach (final, forecast, average reach), views (final views, estimated views), likes (final, forecast), comments (final, forecast), and shares (final, forecast).

Participation in Influencers List is the status of each Influencer participating in the campaign (progress / minimum / completion), progress date, reach rate, amount, followers, views, sympathy (likes), comments, scraps Information is displayed.

In this way, it is possible to know the effect of the advertisement exposure on the advertisement exposure time in the SNS channel of the influencer of the SNS server.

The People's Services web and apps include People's Employment Services, advertiser and Influencer sites, advertisers and Influencer's imaging site,

The advertiser site includes the Getting Started Guide, Campaigns, Influencers, and Reports,

Influencers include campaigns, My Page, and channel impact.

1. Advertiser site

10a to 10h show an advertiser site-start guide, 10a an overview service, 10b an advertisement campaign product introduction, 10c an advertiser member registration, 10d a campaign basic information input, 10e a campaign detailed information input, 10g is campaign real time analysis report, and 10h is the final performance and expected performance comparison screen.

FIG. 10A is a screen showing an overview of People Loans service, and Peopluence is an advertising platform for connecting an advertiser and an Influencer. The advertiser can view the Influenza List and identify the Influencer that has been verified, and the Influencer can advertise on their SNS channel to get compensation (advertising costs, goods / vouchers).

FIG. 10B is a screen showing an advertisement campaign product introduction. All the advertisements are executed after the campaign creation, and the campaign does not proceed without the consent of the advertiser and the influluencer.

Peopleruz Publishing's advertising service system is run by an advertiser, Influencer. One Influencer with more than 5,000 followers who are influential in a well-chosen SNS channel may be more influential than the other 100 Influencers.

FIG. 10C is a screen showing the subscription to the advertiser member, and the subscription to the advertiser joins the member after inputting the ID, password, name, contact, address, email, and mobile phone number.

10D is a campaign basic information input screen.

The subscription period is about 7 days before the commencement date, and after selecting the SNS channels and the corresponding advertising products, the influencer can freely participate if the campaign is open, and the invitation is only invited by the advertiser if it is closed.

Campaign basic information includes campaign title, category, recruitment period, posting date, posting start date, SNS channel selection (blog, Facebook, Instagram, Twitter etc.) Advertising costs, goods / vouchers), and a reward description.

As shown in FIG. 10E, the campaign detailed information includes a posting style and configuration, a hash tag (#costume, #style, #squirt, #dress, #boy, #hair, Bracelet, # necklace, # shoes), map location (optional) - address, OpenStreetMap map confirmation, Naver map confirmation - information.

Hash tags are separated by spaces (space bar).

10F is an invitation screen for invitation. Invitation invitation is invitation to invitation, according to the brand brand propensity, personal training and analysis department linked with the People's Lane control unit has more than a certain number of followers in the artificial intelligence method (beauty, sportswear, electronic products, etc.) (SS / S / A / B / C) of the Influencers (Infinite), and you can confirm the anticipated results before sending invitations by viewing the Influencer invitation list.

FIG. 10G is a campaign real-time analysis report screen.

Campaign real-time analysis reports show categories (eg, IT-smartphone-electronics), posting format (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date,

Campaign real-time performance monitoring and advertising target emotional analysis analyzes people's responses (views, empathy, likes, comments, scrap-sharing, etc.) to advertising brands for each influencer.

10H is a screen for comparing the campaign final performance report, the final performance and the expected performance after the campaign ends,

Campaign final performance reports will show categories (eg, IT-smartphone-electronics), posting format (image posting / video posting), recruitment period, posting posting date,

The number of views by date, number of comments, number of comments, number of scraps (share), final performance, and expected performance are displayed in numerical and graphical form. Performance indicators, emotional analysis, distribution by OS, funnel, Lt; / RTI >

Performance metrics provide reach (final, forecast, average reach), views (final views, estimated views), likes (final, forecast), comments (final, forecast), and shares (final, forecast).

Participation in Influencers List is the status of each Influencer participating in the campaign (progress / minimum / completion), progress date, reach rate, amount, followers, views, sympathy (likes), comments, scraps Information is displayed.

In this way, it is possible to know the effect of the advertisement exposure on the advertisement exposure time of the influencer of the SNS server.

11A to 11C show an advertiser site-campaign, 11a denotes campaign information input-basic information, detailed information, 11b denotes an invitation letter invitation, and 11c denotes an invitation letter suggestion screen.

As shown in FIG. 11A, the 'campaign' information input screen inputs basic information and detailed information.

Basic information includes campaign title, category, recruitment period, posting form (image post, video post), posted posting date, SNS channel (optional), advertising product (optional), reward (optional), PR product description, Includes rating restrictions. Within seven days of posting the posting, Influencer uploads the campaign.

For more information, enter information: Representative image (upload), style and configuration, hash tag (required), map location (optional) - address, OpenStreetMap map confirmation,

11B is an invitation screen for an invitation, and an invitation list and a recommendation list are output to the participation list. When the selection is added to the recommendation list, the invitation list is registered in the invitation list, .

Fig. 11C is a screen for suggesting influences; for example, a category (cosmetics), a propensity (beauty care), a posting form (image post), an offer period (2017.06.23 to 2017.06.29) ~ 2017.07.07), the predicted arrival rate is displayed,

The reach and advertising costs of each of the Influar publishers marked with a rating for participating in this campaign are displayed.

2. Influence site

Figs. 12A to 12C show an advertiser site-influencer, 12a a member influencer search, 12b a non-member influencer search, and 12c an influar analysis screen.

12A is a membership influence search screen,

For each campaign category, Influencers with a large number of followers display their ID, reach and ad price.

FIG. 12B is a non-member Influencer search screen, in which the ID, the reaching rate, and the advertisement price of Influencers having a predetermined number of followers are displayed.

FIG. 12C is an analysis chart of an influenza analysis, showing a holding follow status, a holding follow activity area, and a follow-up analysis (lifestyle, activity area), and an influence index.

13 is an advertisement site-report, real-time, and final report screen.

Campaign real-time analysis reports show categories (eg, IT-smartphone-electronics), posting format (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date,

Campaign real-time performance monitoring and advertising target emotional analysis analyzes people's responses (views, empathy, likes, comments, scrap-sharing, etc.) to advertising brands for each influencer.

After the end of the campaign, the campaign final report will show the categories (eg, IT-smartphone-electronics), posting form (image posting / animation posting / VR video posting / video posting), recruitment period,

The final performance and expected performance comparison screen is displayed. Numbers and graphs are displayed by date, number of comments (empathy), comments, number of scraps (share), final performance, Distribution, funnel, and participatory influencer lists.

Performance metrics provide reach (final, forecast, average reach), views (final views, estimated views), likes (final, forecast), comments (final, forecast), and shares (final, forecast).

Participation Influencer List includes the status (progress / minimum / completion), progress date, reach, amount, followers, views, sympathy Information is displayed.

This shows the effect of ad exposure on ad exposure time.

14 and 15 are Influencer Site-Campaign, 14 is a list of participating campaigns, and 15 is a campaign participation screen.

FIG. 16 is an information screen for an influencer site - My Page, My Information and Participation Campaign. My Page will show my follower number, post amount, email, mobile phone number, product shipping address,

You'll see Engagement Campaigns, Interest Campaigns, Earnings History, and Payout History.

Participating campaigns include campaign name, status, shipping address, posting date, and post amount.

17 is an influencer site-channel influence and my channel influence analysis information screen.

Channel impacts include retention followership trends, retention follower activity areas, follower analysis, campaign status, and impact indicators.

Appearance / Behavior, Sports / politics, IT / App / Games, Sports / Leisure, Beauty / Companion animals, living / kitchen, furniture / interior.

The reserve follower activity area is displayed in the city / county area.

Follower analysis displays the follower name, gender, age of followers, follower attributes, and wave nationality.

Campaign status shows campaign success (%), campaign in progress, campaign complete, and campaign abandonment (%).

Influence scores are calculated by calculating the number of followers, likes, comments, followings, and posts.

A method for posting a personality posting service using machine learning according to the present invention

(a) The Peoplelounge posting advertisement service system is connected to the user terminal installed with the PeopleLounge service web or the app by wired / wireless communication, and is linked to the SNS server. After the advertiser completes the budget charging, Analyze inflow documents by SS / S / A / B / C class by analyzing machine learning analysis, create campaigns, search / invite influluencers, invite influence / suggestions, provide influenza list, Matching the advertiser with the influlu- docials;

(b) sending and receiving consultation data of an influencer matched with an advertiser through a video call and a chat; And

(c) The advertiser runs the advertisement campaign at the advertisement exposure time through the SNS channel of the selected Influarger, and compensates the participating influers after the campaign at the advertisement rate or the goods according to each grade,

If an advertisement product is selected in the SNS channel and the campaign is released, the influencer can freely participate, and if the campaign is closed, the advertisement is invited only by the invitation of the advertiser.

The method includes (d) statistical analysis of the advertisement distribution service system of Peoplelounge posting campaign statistics analysis data monitoring the advertisement exposure effect of the hit / comment / likes / share / A campaign real-time analysis report, and a campaign final analysis report.

The campaign real-time analysis report shows categories (eg, IT-smartphone-electronic products), posting form (image posting / animation posting / VR video posting / video posting), recruitment period,

Campaign real-time performance monitoring and advertising target emotional analysis analyzes the responses of people in SNS channels (views, empathy, likes, comments, scrap-sharing, etc.)

After the above campaign, the campaign final performance report shows categories, posting form (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date, number of views by date, It provides performance index, emotional analysis, distribution by OS, funnel path, participatory influencer list, number of scraps, number of scraps (share), final performance and expected performance.

The performance indicators provide the reach (final, expected, average reach), views (final views, estimated views), likes (final, expected), comments (final, expected)

Participation in Influencers List is the status of each Influencer participating in the campaign (progress / minimum / completion), progress date, reach rate, amount, followers, views, sympathy (likes), comments, scraps Information is displayed,

This provides the advertisement exposure effect on the advertisement exposure time of the Influencer of the SNS server.

The method may further include the step of providing online ordering, settlement, sales, and delivery of the shopping mall server in cooperation with the shopping mall server URL in cooperation with the advertisement posting unit of the personal distribution posting advertisement service system and the shopping mall server .

As described above, the method of the present invention can be implemented as a program and recorded on a recording medium (CD-ROM, RAM, ROM, memory card, hard disk, magneto-optical disk, storage device, etc.) Lt; / RTI >

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood that various modifications and changes may be made without departing from the scope of the present invention.

110: PC 200: Smartphone
210: SmartPad 300: People Ruins Posting Advertising Service System
301: Web server 302: People loop control unit
303: Member subscription part 304: User authentication part
305: Advertiser registration unit 306: Influencer registration unit
307: Machine learning analysis section 308: Influencer invitation section
309: Advertiser / Influencer Matching Unit 310: Ad Posting Unit
311: statistical analysis unit 312: settlement unit
313: video call server 314: chat server
317: budget charging unit 309: database (DB)
400: shopping mall server

Claims (14)

At least one SNS server providing SNS service;
S / A / B / B, and the like, which are connected to the user terminal through wired / wireless communication and interworked with the SNS server. After the advertiser completes the budget charging, the infoline documents having followers in the SNS channel are analyzed by the machine learning analysis unit, C, and create campaigns, search / invite influluencers, invite influencers / proposals, provide influencer lists, match machine advertisers and influencers by machine learning, and match advertisers through video calls and chat The advertiser sends and receives the consultation data of the influencer. The advertiser carries out the advertisement campaign during the advertisement exposure time through the SNS channel of the selected Influencer. Includes campaign statistical analysis data to monitor the impact of ad impressions on view / comment / likes / share responses on the SNS channels of influenza. A campaign real-time analysis report, and a campaign final analysis report;
A user terminal with a PeopleLounge service web or app installed; And
A video call server for sending and receiving video call data for consulting an advertiser and an advertisement campaign selected from the recommended influenza list; And a chat server for sending and receiving chat data for consulting with the advertiser about whether or not an advertisement campaign is to be made with the influluencer selected from the recommended influluencer list,
The People's Services web and apps include a People's Lounge service, an advertiser site and an Influencer site, an advertiser and an Influencer's video chat site,
The Influencer site is provided with a campaign, a list of participating campaigns, a My Page, My Information and Participation Campaign information screen, a channel influence, and a channel influence analysis information screen,
The invitation list and the recommendation list are displayed in the participation list of the invitation screen, and the ID, the reaching rate and the advertisement price of the influluencers having many followers are displayed according to the campaign category ,
A Peoplelounge posting advertisement service system using machine learning, in which an influenza advertiser can participate freely when an advertisement product is selected in the SNS channel and the campaign is released and the campaign is closed only on the SNS channel, . The method according to claim 1,
And a shopping mall server interlocked with the advertisement posting unit of the personal broadcasting post advertising service system and providing online ordering, payment, sales, and delivery in cooperation with the shopping mall server URL at the same time as the advertisement, Advertising service system. The method according to claim 1,
The user terminal includes a personal computer (PC) or a smart phone equipped with the Personal Loan service app (App), and a smart pad. The method according to claim 1,
The People's Post Advertising Service System
A web server connecting the user terminal with the Internet through wired / wireless communication;
We invite influenza groups classified as SS / S / A / B / C by machine learning. After filling the budget of the advertiser, we match the advertiser with Influencer, A personality control unit for controlling each function of the language service;
A member subscription unit for registering the Personal Loan service member information;
A user authentication unit;
An advertiser registration unit for registering advertiser information for the personal service;
An Influencer registration unit for registering Influencer information having followers in the SNS channel;
Budget Charging Department to receive advertiser's budget;
Using machine learning in SNS channels, we analyze influous documents of more than a certain number of people using analysis data such as gender, age, inclination, region, lifestyle, follower number of Influencer, It is divided into A / B / C grades and classified by category. Campaign creation, search / invitation of influence / invitation, participation / proposal of influence, provision of influence list, A matching machine learning analysis unit;
An influencer search / invitation, an influencer participation / proposal, an influenza list provided from the machine learning analysis section to an advertiser, providing an influencer list, an advertiser inviting at least one influenza, and selecting Influenza Invitation Department;
An advertiser / influenza matching unit that receives the influluence list provided from the machine learning analysis unit, matches the optimal influence with the advertiser using the machine learning, and has many followers;
An advertisement posting part for posting any one of an image, an animation, a VR movie, and an advertisement video including an advertisement campaign according to a posting type on an SNS channel of an influxer matching an advertiser;
The campaign final report can be viewed at the end of the campaign and settlement. It will be charged per CPP, CPC and CPV according to the billing criteria type. A settlement department that will settle the campaign budget commission when revenue is generated, pay the advertising expenses of the influenza advertisers participating in the campaign, And
A database (DB) for storing member information, advertiser information, infoline information, machine learning analysis information, campaign information, advertiser / infuser matching information, campaign real time report, campaign final report information, statistical analysis information, );
A person running advertising service system using a machine running machine, 5. The method of claim 4,
The People's Post Advertising Service System
Statistical analysis providing the statistical analysis data of the campaign which monitors the advertisement exposure time of the SNS channels of the influenza participants participating in the advertisement campaign and the advertisement exposure effect of the views / comments / likes / A Peoplelounge posting advertising service system using machine learning that further includes the wealth. The method according to claim 1,
The People's Post Advertising Service System
Wherein the video chat server and the chat server are linked to one screen so that video chat data can be exchanged between an advertiser and an influencer. The method according to claim 1,
The advertiser site includes a start guide, a campaign, an influencer, and a report,
The Influencers site includes Campaign, My Page, Channel Impact,
The start guide provides an overview of a person service, an advertisement campaign product introduction, an advertiser member registration, a basic campaign information input, a campaign detailed information input, an influenza invitation, a campaign real time analysis report,
The advertiser member registration is to join the member after inputting ID, password, name, contact, address, email, mobile phone number,
The campaign basic information includes a title, a category, a recruitment period, a posting form, a posting start date, an SNS channel selection (blog, Facebook, Instagram, Twitter, etc.) (Advertising costs, merchandise / vouchers) and a reward description,
The campaign detailed information includes a posting style and configuration, a hash tag, a map location (optional) address, OpenStreetMap map confirmation, and a Naver map confirmation-information to be referred to by the Influencer who runs the campaign,
Involuntary Invitation is invited to invite people who have more than a certain number of followers in the artificial intelligence system, / A / B / C rating). It is recommended to provide the recommendation list of Influenza Invitation List and provide the expected performance of the advertisement before invitation by invitation. 8. The method of claim 7,
The advertiser site-campaign includes campaign information input-basic information, detailed information, an influenza invitation, and an influencer proposal,
In the campaign information input, basic information and detailed information are inputted,
The basic information includes a campaign title, a category, an offer period, a posting form (image post, video post), a posting posting date, an SNS channel (optional) , Rating restrictions,
The detailed information includes a representative image (upload), a style and configuration, a hash tag (required), a map location (optional) -address, OpenStreetMap map confirmation-
The invitation list is displayed in the invitation list, and the invitation list and the recommendation list are output. When the invitation list is selected and added, the invitation list is registered in the invitation list. When the invitation list is excluded from the invitation list,
The Influencer proposal is displayed in the category, posting form, recruitment period, posting posting date,
A Peoplelounge posting advertising service system using machine learning, in which the reach and advertising costs of each of the influ publications marked with a rating for participating in this campaign are displayed. 8. The method of claim 7,
i) The Influencers Site-Campaign displays a list of participating campaigns, a campaign participation screen,
ii) Influencers Site - My Page provides my information and participation campaign information screen, My Page shows my follower number, post amount, email, mobile phone number, shipping address,
You'll see Engagement Campaigns, Interest Campaigns, Earnings History, and Payout History.
Participating campaigns include campaign name, status, shipping address, posting date, and post amount.
iii) Influencers Site - Channel impact is provided on my Channel Impact Analysis information screen, Channel Impact includes Include follower propensity, Hold follower activity area, Follower analysis, Campaign status, Impact index,
Appearance / Behavior, Sports / politics, IT / App / Games, Sports / Leisure, Beauty / Companion animals, living / kitchen, furniture / interior,
The active follower activity area is displayed in the city / county area,
Follower analysis is a Peoplelounge posting advertising service system that uses machine learning to display follower name, gender, follower age, follower attribute, and fatherland nationality. The method according to claim 1,
The campaign real-time analysis report shows categories (eg, IT-smartphone-electronic products), posting form (image posting / animation posting / VR video posting / video posting), recruitment period,
Campaign real-time performance monitoring and advertising target emotional analysis analyzes the responses of people in SNS channels (views, empathy, likes, comments, scrap-sharing, etc.)
After the above campaign, the campaign final performance report shows categories, posting form (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date, number of views by date, It provides performance index, emotional analysis, distribution by OS, funnel path, participatory influencer list, number of scraps, number of scraps (share), final performance and expected performance.
The performance indicators provide the reach (final, expected, average reach), views (final views, estimated views), likes (final, expected), comments (final, expected)
Participation in Influencers List is the status of each Influencer participating in the campaign (progress / minimum / completion), progress date, reach rate, amount, followers, views, sympathy (likes), comments, scraps Information is displayed,
This is a PeopleLounge posting advertising service system that uses machine learning to provide advertisement exposure effect on the advertisement exposure time of the SNS server. (a) A Peoplelounge posting advertisement service system is connected to a user terminal equipped with a PeopleLounge service web or an app by wired / wireless communication, and is linked to the SNS server. After the advertiser completes the budget charging, It is divided into SS / S / A / B / C grades by the machine learning analysis department, and campaign creation, influence search / invitation, participation / proposal of influence, offer of influence letter list, Matching an advertiser with an influenza application;
(b) a video call server for sending and receiving video call data for consulting an advertiser with an influenza selection selected from a recommended influenza list, and (b) an inflator and advertisement selected from the advertiser and the recommended influenza list Transmitting and receiving consultation data of an inflator matched with an advertiser through a video call and a chat by a chat server transmitting and receiving chat data for consulting whether or not a campaign exists; And
(c) The advertiser runs the advertisement campaign at the advertisement exposure time through the SNS channel of the selected Influarger, and compensates the participating influers after the campaign at the advertisement rate or the goods according to each grade,
The People's Services web and apps include a People's Lounge service, an advertiser site and an Influencer site, an advertiser and an Influencer's video chat site,
The Influencer site is provided with a campaign, a list of participating campaigns, a My Page, My Information and Participation Campaign information screen, a channel influence, and a channel influence analysis information screen,
The invitation list and the recommendation list are displayed in the participation list of the invitation screen, and the ID, the reaching rate and the advertisement price of the influluencers having many followers are displayed according to the campaign category,
A Peoplelounge posting advertisement service method using machine learning, in which, when an advertisement product is selected on the SNS channel and the campaign is released, the influence router can freely participate and the campaign is closed on the SNS channel, . 12. The method of claim 11,
(d) Statistical Analysis of People's Posting Advertising Service System Campaign that includes statistical analysis data of campaigns that monitor the effect of advertisement exposure on views / comments / likes / The method of claim 1, further comprising providing a campaign final analysis report. 13. The method of claim 12,
The campaign real-time analysis report shows categories (eg, IT-smartphone-electronic products), posting form (image posting / animation posting / VR video posting / video posting), recruitment period,
Campaign real-time performance monitoring and advertising target emotional analysis analyzes the responses of people in SNS channels (views, empathy, likes, comments, scrap-sharing, etc.)
After the above campaign, the campaign final performance report shows categories, posting form (image posting / animation posting / VR video posting / video posting), recruitment period, posting posting date, number of views by date, It provides performance index, emotional analysis, distribution by OS, funnel path, participatory influencer list, number of scraps, number of scraps (share), final performance and expected performance.
The performance indicators provide the reach (final, expected, average reach), views (final views, estimated views), likes (final, expected), comments (final, expected)
Participation in Influencers List is the status of each Influencer participating in the campaign (progress / minimum / completion), progress date, reach rate, amount, followers, views, sympathy (likes), comments, scraps Information is displayed,
Thereby providing an effect of advertisement exposure on the advertisement exposure time of the Influencer of the SNS server. 12. The method of claim 11,
Further comprising the step of providing online ordering, settlement, sales, and delivery by the shopping mall server in cooperation with the shopping mall server URL of the shopping mall server in conjunction with the advertisement posting unit of the personal distribution posting advertisement service system, How to service advertising using PeopleLounge.

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