KR101305537B1 - Ads propagation method using sharing function of social networking - Google Patents

Abstract

The present invention relates to an advertisement propagation method using a social networking sharing function, comprising: a category classification step (step S1); Advertisement registration and matching step (step S2); Sharing posting update and propagation step (step S3); Collecting usage statistics information (step S4); Social Networking Service (SNS), which was not previously used as an advertising means, consists of an advertisement effect evaluation step (step S5) that evaluates how much the user's sharing posting has influenced the advertisement effect using the advertisement effect evaluation module. By using the shared posting function, you can carry out viral marketing in which users participate in person, and individual users can freely select their favorite advertisements and post them on social networking services (SNS). And disposition to others and additional revenue, and social networking service providers can use their existing infrastructure to create new revenue models without incurring additional investment. Not only can be used in the future As the functions and functions will gradually increase, the scope of application and the ripple effect are useful inventions with particular advantages that are expected to increase.

Description

Ad propagation method using sharing function of social networking}

The present invention replaces the contents of a shared posting (posting) set by the individual on the social network (advertising phrase) by advertising propagation using a social networking sharing function to rapidly spread to a large number of users on the network (Network) It is about a method.

Modern society is connected through information and communication technology. People communicate with people around the world through social networking services (SNS), including instant messenger micro blogs.

The Social Networking Service (SNS), which is widely used in everyday life, provides a shared posting function that can be realized by users. The shared posting function can quickly communicate the emotion and current state of an individual by exposing the posting phrase set by the user to all users who have a relationship with the user.

Such SNS providers place certain advertisements on the service screen as a profit model, but most advertisements employ a mass marketing technique targeting an unspecified number of users as shown in FIG. .

However, such an advertisement has a problem that the effect of the advertisement is insignificant because all the people who use or do not use the shared posting function do not participate in the marketing.

In view of the above circumstances, the present invention has been invented to maximize the insignificant advertisement effect caused by the advertising method of the conventional mass marketing technique, and the object thereof is a social networking service (SNS; Social Networking Service) By providing a sharing posting function, the present invention provides an advertisement propagation method using a social networking sharing function that enables viral marketing in a manner in which a user directly participates.

Another object of the present invention is that individual users can freely select their favorite advertisements and post them on social networking services (SNS) to express their interests and dispositions to others and obtain additional revenue. The present invention provides a method for distributing advertisements using social networking sharing.

Another object of the present invention is a social networking service (SNS) provider advertising propagation method using a social networking sharing function that can create a new revenue model using the existing infrastructure without additional investment costs To provide.

Another object of the present invention is that the Social Networking Service (SNS) that is used today includes most of the shared posting (Posting) function, and since the devices and functions that can be used in the future will increase the scope and ripple effect It is to provide an advertisement propagation method using a social networking sharing function that is expected.

Advertisement propagation method using the social networking sharing function of the present invention for achieving the above object is a category classification step (S1 step) for classifying by category to the category to which the advertisement belongs to the user connected to the category modeling module; An advertisement registration and matching step of registering contents and keywords of the advertisement using the advertisement registration and matching module and matching them with the corresponding category (step S2); Once the user's desired advertisement is selected and set as his own posting, the user's postings are updated on the database (DB) and on the screen using the shared posting update and propagation module, and the social networking service (SNS) is provided to other users. A shared posting update and propagation step (S3 step) that propagates through a service; A usage statistics information collection step (S4 step) of collecting the view statistics and the user's click statistics information for evaluating the advertisement effect when a posting view and a click by another user are generated by the usage statistics information collection module; The advertisement effect evaluation module is characterized by consisting of an advertisement effect evaluation step (S5 step) for evaluating how the user's shared postings affected the advertisement effect.

The present invention utilizes a social networking service (SNS) sharing posting function, which has not been used as an advertisement means, to enable viral marketing in a manner in which a user directly participates, and for each user, his or her preferred advertisement. Can be freely selected and posted on Social Networking Services (SNS) to express their interests and dispositions to others and to earn additional revenue, while Social Networking Service (SNS) providers can Not only can you create a new revenue model using your existing infrastructure without additional investment, but the available devices and functions will continue to increase, so the coverage and ripple effect are expected to increase.

1 is a flowchart of an advertisement technique in a conventional conventional mass marketing,
2 is a flowchart illustrating an advertisement propagation method using a social networking sharing function of the present invention;
3 is a view showing an example of a user's advertising phrase selection screen in the advertisement propagation method employing the present invention;
4 is a posting screen to which the advertising phrase according to the present invention,
5 is a screen for outputting advertisements on a social networking service (SNS) according to the present invention.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the advertising propagation method using the social networking sharing function of the present invention.

2 is a flowchart illustrating an advertisement propagation method using the social networking sharing function of the present invention, FIG. 3 is a view showing an example of a user's advertisement text selection screen in the advertisement propagation method employing the present invention, and FIG. Posting screen to which the advertising text is applied, FIG. 5 is an output screen for advertising text on Social Networking Service (SNS) according to the present invention. The advertisement propagation method using the social networking sharing function of the present invention is accessed by a user by using a category modeling module. A category classification step (S1 step) of modeling the category to which the advertisement belongs to and classifying it by level; An advertisement registration and matching step of registering contents and keywords of the advertisement using the advertisement registration and matching module and matching them with the corresponding category (step S2); Once the user's desired advertisement is selected and set as his own posting, the user's postings are updated on the database (DB) and on the screen using the shared posting update and propagation module, and the social networking service (SNS) is provided to other users. A shared posting update and propagation step (S3 step) that propagates through a service; A usage statistics information collection step (S4 step) of collecting the view statistics and the user's click statistics information for evaluating the advertisement effect when a posting view and a click by another user are generated by the usage statistics information collection module; The advertisement effect evaluation module is used to evaluate the effect of the user's sharing postings on the advertisement effect.

In the category classification step (step S1), when the modeling is performed, the category of the first level (Level 1) is {Cl, C2,... , Cn}, and the lower level category for a specific category Ci (1≤i≤n) of the first level (Level 1) is: {Ci1, Ci2, ..., Cim} When categorized, category checks should be made to ensure consistency between the layers. That is, the sum of category (ΣCij) of the lower level should be semantically identical to the category (Ci) range of the upper level, and the category modeling result is preferably stored in the category DB.

In the advertisement registration and matching step (step S2), the registered advertisement is stored in the advertisement DB, the matching result is also stored in the advertisement DB, and the registered advertisement and the matching result are preferably provided to the user as a list.

In addition, the update and propagation step (step S3) first selects an appropriate advertisement from the advertisement list generated as a result of category selection or direct keyword input, and updates the shared advertisement, and the posting result for each user is stored in the posting DB, and It is desirable to propagate it to other users who have a relationship through social networking service (SNS), and use statistics (views, clicks, etc.) of these postings are stored in the statistics DB to evaluate the advertising effect. .

The advertisement effect in the advertisement effect evaluation step (S5 step) may be measured by an indicator such as an advertisement exposure (time) and an advertisement click (number of times) by another user. That is, first, the activation period (Xp; active period) according to the status (active / inactive) of the posting subject is summed and multiplied by the number of users (Xf) having a relationship on the social networking service (SNS). After calculating the view period score Sp and calculating the total number of clicks Sc for the posting, the advertisement effect S can be calculated as a function of Sp and Sc.

Next, the operation of the advertisement propagation method using the social networking sharing function of the present invention made as described above will be described in detail.

First, when performing modeling in the category classification step (step S1), the category of the first level (Level 1) is {Cl, C2,... , Cn}, and the lower level category for a specific category Ci (1≤i≤n) of the first level (Level 1) is: {Ci1, Ci2, ..., Cim} When categorized, category checks should be made to ensure consistency between the layers. That is, the sum of category (ΣCij) of the lower level should be semantically identical to the category (Ci) range of the upper level, and the category modeling result is stored in the category DB.

Subsequently, in the advertisement registration and matching step (step S2), the registered advertisement is stored in the advertisement DB, the matching result is also stored in the advertisement DB, and the registered advertisement and the matching result are provided as a list for the user to select when setting up a shared posting. do.

Then, in the step of updating and distributing the shared posting (step S3), first, a suitable advertisement is selected from the advertisement list generated as a result of category selection or direct keyword input, and then updated to the shared posting, and the posting result for each user is stored in the posting DB. It spreads through other social networking services (SNS) to other users who have a relationship with them, and usage statistics (views, clicks, etc.) of these postings are stored in the statistics DB to evaluate the advertising effect.

Subsequently, the user collects view and click statistical information for evaluating the advertising effect when the posting view and the click occurs by other users in the usage statistics information collecting step (step S4).

Subsequently, in the advertisement effect evaluation step (S5), the advertisement effect may be measured by an indicator such as an advertisement exposure (time) and an advertisement click (number of times) by another user. That is, first, the activation period (Xp; active period) according to the status (active / inactive) of the posting subject is summed and multiplied by the number of users (Xf) having a relationship on the social networking service (SNS). After calculating the view period score Sp and calculating the total number of clicks Sc for the posting, the advertisement effect S can be calculated as a function of Sp and Sc.

In other words, Sp = Xp x Xf (1)

Xp = ∑ (period│status = active), total time period with user status 'active'

Xf = ∑ (follower_of_the_user), the number of other users associated with the user

Next, calculate the total number of clicks for that post.

Sc = ∑ (click_count_of_the_posting) ····· (2)

The final score can be expressed as a function of Sp and Sc calculated in the above formulas (1) and (2), and is calculated by multiplying the appropriate weights for each term.

 S = f (Sp, Sc) = w1 × Sp + w2 × Sc,

where 0 ≤ w1, w2 ≤ 1, w1 + w2 = 1 ... (3)

While the present invention has been described with reference to the preferred embodiments, it is to be understood that the invention is not limited thereto and that various changes and modifications may be made therein without departing from the scope of the invention.

Claims (6)

A category classification step (S1 step) of modeling and classifying the category to which the advertisement belongs by the category modeling module according to the user's access; An advertisement registration and matching step of registering contents and keywords of the advertisement using the advertisement registration and matching module and matching them with the corresponding category (step S2); Once the user's desired advertisement is selected and set as his own posting, the user's postings are updated on the database (DB) and on the screen using the shared posting update and propagation module, and the social networking service (SNS) is provided to other users. A shared posting update and propagation step (S3 step) that propagates through a service; A usage statistics information collection step (S4 step) of collecting the view statistics and the user's click statistics information for evaluating the advertisement effect when a posting view and a click by another user are generated by the usage statistics information collection module; An advertisement propagation method using a social networking sharing function comprising an advertisement effect evaluation step (step S5) of evaluating how the user's sharing posting has influenced an advertisement effect using an advertisement effect evaluation module;
In the category classification step (step S1), when the modeling is performed, the category of the first level (Level 1) is {Cl, C2,... , Cn}, and the lower level category for a specific category Ci (1≤i≤n) of the first level (Level 1) is: {Ci1, Ci2, ..., Cim} Set;
The advertisement registration and matching step (step S2) stores the registered advertisement in the advertisement DB, stores the matching result in the advertisement DB, and provides the registered advertisement and the matching result as a list to the user;
In the update and propagation step (step S3), first, an advertisement is selected from a list of advertisements generated as a result of category selection or direct keyword input, and updated as a shared posting. The posting result for each user is stored in a posting DB, and is associated with a user. Propagating to other users through a social networking service (SNS), and posting usage statistics (views, clicks, etc.) are stored in a statistical DB to evaluate advertising effects;
The advertisement effect evaluation step (S5 step) sums up the activation period (Xp; active period) according to the status (active / inactive) of the posting subject, and has a relationship on a social networking service (SNS). The view period score (Sp) is calculated by multiplying the number of users (Xf), and then the total number of clicks (Sc) for the posting is calculated to calculate the advertisement effect (S) as a function of Sp and Sc. Advertising propagation method using social networking sharing function. delete The method of claim 1, wherein the category sum level (∑Cij) at the lower level is the same as the category (Ci) at the upper level in the category classification step (step S1). delete delete delete

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