KR20180121734A - Method and system for automating advertisement media mix - Google Patents

Abstract

Disclosed are a method for automating advertising media mix and a system thereof. The method for automating advertising media mix executed by a computer may include a step of collecting advertisement-related information corresponding to an advertisement exposed in different advertisement types from a plurality of online advertisement media, a step of receiving advertisement condition information corresponding to an advertisement which an advertiser wants from an advertiser terminal, a step of determining a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information, and a step of providing a different number of the recommended advertisement products to the advertiser terminal according to an advertisement cost received from the advertiser terminal. It is possible to automatically recommend an advertising method suitable for the advertiser.

Description

TECHNICAL FIELD [0001] The present invention relates to an advertisement medium mix automation method and system,

The following description relates to a technique for recommending an advertisement product suitable for an advertiser among a variety of online advertisement products to an advertiser who desires to advertise.

With the recent introduction of high-performance portable devices such as tablets and smart phones in addition to PCs, the number of people enjoying mobile shopping, browsing, and checking e-mails has greatly increased through mobile access as well as Internet access via desktop PCs . As the number of mobile devices such as blogs, cafes, and portal sites is increasing during the time of traveling, the popularity of mobile devices and the development of mobile internet technology have increased the number of mobile users There are increasingly different ways to advertise products.

As advertising media become more diverse and advertising methods become more diverse, advertisers spend a lot of time and trouble choosing where to advertise their ads. For example, it takes a lot of time and effort to compare several advertising media, to compare various advertising methods, and to determine the advertising medium and method of exposing the advertisement. In addition, in the case of a novice advertiser who is unfamiliar with the online advertising and advertising method (ie, the type of advertisement), the advertisement effect of the advertisement method which is not suitable for the own product or the advertisement cost You will often experience cases.

Accordingly, it is required to provide a technique for automatically recommending an advertisement method suitable for an advertiser among a variety of online advertisement methods for a novice advertiser who is not familiar with an online advertisement and an advertisement method (that is, an advertisement type).

Korean Patent Laid-Open Publication No. 10-2015-0072474 relates to an on-line customized advertisement method, and discloses a technique in which a user manually inputs an advertisement copy or contents to provide an automatic system on-line.

To provide a method and system for automating an advertising media mix that automatically recommends an appropriate advertisement method for advertisers among a variety of online advertising methods for novice advertisers who are not familiar with online advertising and advertising methods .

In addition, an advertisement product combining at least one of a video advertisement and a keyword search advertisement as well as a banner advertisement is provided to an advertiser as a recommended advertisement product through a single screen. In other words, we want to provide the advertiser with the composition of the advertisement media mix as one screen.

In addition, we provide advertisers with immediate advertising efficiency by providing the recommended number of clicks, the number of expected actions, the estimated number of impressions, and the expected CTR per advertisement item as an advertising index.

A method for automating an advertisement medium mix executed by a computer, the method comprising the steps of: collecting advertisement-related information corresponding to an advertisement exposed in a different advertisement type from a plurality of online advertisement media; Determining a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information, and transmitting the advertisement condition information to the advertiser terminal And providing a different number of the recommended advertisement products to the advertiser terminal.

1. An advertisement media mix automation system executed by a computer, comprising: an information collection unit for collecting advertisement-related information corresponding to an advertisement exposed in a plurality of different advertisement types from a plurality of online advertisement media; An advertisement information determination unit for determining a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information, And provides the advertiser terminal with a different number of the recommended advertisement products according to the advertisement costs.

A computer program stored in a recording medium for executing a method of automating an advertisement media mix in combination with an electronic device embodied in a computer, the method comprising the steps of: receiving, from a plurality of online advertisement media, Collecting advertisement related information corresponding to the advertisement condition information, receiving advertisement condition information corresponding to an advertisement to be advertised by the advertiser from the advertiser terminal, receiving a plurality of advertisements corresponding to the advertisement condition information Determining the products as a recommended advertisement product, and providing the advertiser terminal with a different number of the recommended advertisement products according to the advertisement cost received from the advertiser terminal.

The system automatically recommends an advertisement method suitable for an advertiser among a variety of online advertisement methods, thereby reducing time resources required for an advertiser to compare and select advertisement items, Even if the advertiser is not familiar with the advertisement type, it is possible to reduce the failure rate of selecting the wrong advertisement product and help the user to select the advertisement product with high advertisement efficiency.

In addition, it is also possible to provide an advertisement product, which is a combination of at least one of a video advertisement and a keyword search advertisement, not only a banner advertisement but also an advertisement product as a recommended advertisement product together with a single screen, It is possible to enhance the user's convenience.

In addition, we provide advertisers with the opportunity to check the effectiveness of advertising by providing the expected number of clicks, the number of expected actions, the estimated number of impressions, and the estimated CTR per advertisement item, It is possible to provide an advertisement product suitable for an advertiser against advertisement costs without immediately wasting unnecessary advertisement cost.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.
2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an embodiment of the present invention.
FIG. 3 is a block diagram illustrating an example of components that a processor of a server according to an embodiment of the present invention may include.
4 is a flowchart illustrating an example of a method of automating an advertisement medium mix according to an embodiment of the present invention.
5 is a system structure diagram illustrating a data processing process for providing a recommended advertisement product in an embodiment of the present invention.
6 is a diagram illustrating an example of a screen configuration in which advertisement condition information is input to provide a recommended advertisement product in an embodiment of the present invention.
FIG. 7 is a flowchart illustrating an operation of providing a different number of recommended advertisement products according to an advertisement cost, in an embodiment of the present invention.
FIG. 8 is a flowchart illustrating an operation for determining a recommended advertisement product based on a minimum execution amount, according to an exemplary embodiment of the present invention.
9 is a diagram illustrating a screen configuration of an advertiser terminal in which a recommended advertisement product is provided, according to an embodiment of the present invention.
10 is a diagram illustrating a screen configuration for providing estimated quotation data for a keyword search advertisement in an embodiment of the present invention.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

The present invention relates to a technique for automatically recommending an advertisement product suitable for a novice advertiser and existing advertisers who are not familiar with online advertisement products by systemizing various types of online advertisement products, And provides advertisement products that are best suited to the inputted advertisement condition information as a recommended advertisement product when the advertisement condition information is inputted. For example, from among various types of keyword search advertisements and various types of banner advertisements, a certain number of advertisement products having the highest relevance to the advertisement condition information inputted by the advertiser are extracted from the advertisement DB, and the extracted advertisement products are referred to To an advertiser terminal as an advertisement product.

In the present embodiment, the 'advertisement product' represents various types of advertisement methods such as a keyword search advertisement and a banner search advertisement, and may include a mobile advertisement and a PC / notebook-based advertisement. For example, an 'advertising product' may include a keyword search ad such as a site search advertisement, a shopping search advertisement, a content search advertisement, a brand search advertisement, a time board, a banner advertisement of a rolling board type, . And, in the present embodiments, the 'advertisement mix' may represent an estimated quotation provided before the advertisement execution.

In this embodiment, the 'advertisement condition information' is the minimum information that the advertiser inputs to receive the recommendation advertisement suitable for the advertiser, and may include at least one of the advertisement industry information, the advertisement information, and the advertisement cost.

In the present embodiment, the 'advertisement indicator' is a standard index which is a measure for measuring the efficiency of the advertisement. The 'advertisement indicator' ), And the like. At this time, the advertisement index of the advertisement product collected from various advertisement media may indicate the number of clicks, the number of actions, the number of impressions, and the CTR of the advertisement product

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention. 1 shows an example in which a plurality of electronic devices 110, 120, 130, 140, a plurality of servers 150, 160, and a network 170 are included. 1, the number of electronic devices and the number of servers are not limited to those shown in FIG.

The plurality of electronic devices 110, 120, 130, 140 may be a fixed terminal implemented as a computer device or a mobile terminal. Examples of the plurality of electronic devices 110, 120, 130 and 140 include a smart phone, a mobile phone, a navigation device, a computer, a notebook, a digital broadcast terminal, a PDA (Personal Digital Assistants) ), And tablet PCs. For example, the electronic device 1 110 may communicate with other electronic devices 120, 130, 140 and / or the servers 150, 160 via the network 170 using a wireless or wired communication scheme.

The communication method is not limited, and may include a communication method using a communication network (for example, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network) that the network 170 may include, as well as a short-range wireless communication between the devices. For example, the network 170 may be a personal area network (LAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN) , A network such as the Internet, and the like. The network 170 may also include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, But is not limited thereto.

Each of the servers 150 and 160 is a computer device or a plurality of computers that communicate with a plurality of electronic devices 110, 120, 130 and 140 through a network 170 to provide commands, codes, files, Lt; / RTI > devices.

2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an embodiment of the present invention. In FIG. 2, an internal configuration of the electronic device 1 (110) as an example of one electronic device and the server 150 as an example of one server will be described. Other electronic devices 120, 130, 140 or server 160 may have the same or similar internal configurations.

The electronic device 1 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223 and input / output interfaces 214 and 224. The memories 211 and 221 may be a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. The memories 211 and 221 may store an operating system and at least one program code (for example, a code for a browser or an application for recommending an advertisement product installed in the electronic device 1 110). These software components may be loaded from a computer readable recording medium separate from the memories 211 and 221 using a drive mechanism. Such a computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, and a memory card. In other embodiments, the software components may be loaded into memory 211, 221 via communication modules 213, 223 rather than a computer readable recording medium. For example, at least one program may be a program installed by a file distribution system (for example, the server 160 described above) that distributes installation files of developers or applications, May be loaded into the memory 211, 221 based on the application described above.

Processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. The instructions may be provided to the processors 212 and 222 by the memories 211 and 221 or the communication modules 213 and 223. For example, the processor 212, 222 may be configured to execute a command received in accordance with a program code stored in a recording device, such as the memory 211, 221.

The communication modules 213 and 223 may provide functions for the electronic device 1 110 and the server 150 to communicate with each other through the network 170 and may provide functions for communicating with other electronic devices (for example, the electronic device 2 120) Or to communicate with another server (e.g., server 160). For example, a request (for example, a request for an advertisement product recommendation service) generated by the processor 222 of the electronic device 1 (110) according to a program code stored in a recording device such as the memory 211 is transmitted to the communication module 213 And may be transferred to the server 150 via the network 170 according to the control. Conversely, control signals, commands, contents, files, and the like provided under the control of the processor 222 of the server 150 are transmitted to the communication module 223 of the electronic device 110 via the communication module 223 and the network 170 213 to the electronic device 1 (110). For example, the control signals and commands of the server 150 received through the communication module 213 may be transmitted to the processor 222 or the memory 211, May be stored as a storage medium that may further include a < RTI ID = 0.0 >

The input / output interfaces 214 and 224 may be means for interfacing with the input / output device 215. For example, the input device may include a device such as a keyboard or a mouse, and the output device may include a device such as a display for displaying a communication session of the application. As another example, the input / output interface 214 may be a means for interfacing with a device having integrated functions for input and output, such as a touch screen. More specifically, the processor 222 of the electronic device 1 (110) uses the data provided by the server 150 or the electronic device 2 (120) in processing commands of the computer program loaded in the memory 211 A service screen or contents can be displayed on the display through the input / output interface 214. [

Also, in other embodiments, electronic device 1 110 and server 150 may include more components than the components of FIG. However, there is no need to clearly illustrate most prior art components. For example, electronic device 1 110 may be implemented to include at least a portion of input / output devices 215 described above, or may be implemented with other components such as a transceiver, Global Positioning System (GPS) module, camera, Elements. More specifically, when the electronic device 1 (110) is a smart phone, it may be an acceleration sensor, a gyro sensor, a camera, various physical buttons, buttons using a touch panel, input / output ports, It is to be understood that the present invention may be embodied in various forms without departing from the spirit or scope of the invention.

When a database is included in the server 150, the database collects the advertisement-related information collected from various advertisement media on-line, divides the collected advertisement-related information according to the charging method of the advertisement, And can be stored and maintained in a matching manner. For example, the advertisement related information may include advertisement type information (i.e., identifier information indicating an advertisement product), charging methods such as CTR, CPM, CPA, and CPC collected in association with the corresponding advertisement item, (I.e., category), device type information (for example, whether the target to which the advertisement is exposed is a mobile terminal or not) Or a desktop PC or the like). Here, the advertisement type information may indicate the type of the advertisement product, that is, the advertisement method. For example, it may indicate ad type information, a rolling board advertisement, a brand search advertisement, a video advertisement, a site search advertisement, or a banner advertisement.

The advertisement media mix automation system according to the embodiments of the present invention can be implemented in a device in which an application is executed. In other words, the advertisement media mix automation method according to the embodiments of the present invention can be executed in all devices in which an application is installed and driven, and can also be executed in a server such as a portal site or an online advertisement site. Hereinafter, for convenience of description, an embodiment will be described in which a method of providing an advertisement product suitable for the electronic device 110, which is an advertiser terminal, as a recommended advertisement product is performed in the server 150. FIG.

FIG. 3 is a block diagram illustrating an example of a component that a processor of a server according to an embodiment of the present invention may include; FIG. 4 illustrates an example of a method of automating an advertisement medium mix according to an exemplary embodiment of the present invention; It is a flow chart.

3, the processor 222 included in the server 150 includes components such as an information collecting unit 310, an information receiving unit 320, An advertisement commodity determination unit 330, and an advertisement providing unit 340. Then, the processor 222 determines various types of advertisement products based on the advertisement-related information collected from various advertisement media (for example, a mobile advertisement application, a keyword search site, a shopping mall, etc.) (Not shown), which is stored and maintained in accordance with the type of the program.

The components of the processor 222 and the processor 222 may control the server 150 to perform the steps 410 through 440 included in the advertisement media mix automation method of FIG. At this time, the components of the processor 222 and the processor 222 may be implemented to execute instructions according to the code of the operating system and the code of at least one program that the memory 221 contains. Here, the components of the processor 222 may be representations of different functions performed by the processor 222 in accordance with control commands provided by the program code stored in the server 150. For example, in a method for automating a media mix automation according to the control command described above, the processor 222 stores program code stored in a file for providing a recommendation advertisement item suitable for an advertiser determined based on the collected advertisement- The advertisement providing unit 340 may be used as a functional expression of an operation of loading the advertiser terminal 221 to an advertiser terminal (i.e., an electronic device).

First, in step 410, the information collecting unit 310 may collect stored advertisement related information such as a DB of a corresponding advertisement medium, a server, or a DB of an advertisement agency in relation to a product exposed to various advertisement media on-line . For example, the information collecting unit 310 collects, from a plurality of advertisement media, advertisement industry information, minimum enforcement amount, advertisement index, advertisement related information, advertisement type information, (I. E., Identifier information indicating the type of advertising product), and a billing scheme. The information collecting unit 310 may store and maintain the collected advertisement related information in a database (not shown) according to a billing method.

For example, when advertisement-related information is collected in association with banners exposed to mobile bands, clothing / fashion goods, which is a category of athletic shoes, are collected as advertisement information, and when a mobile band is exposed as a banner, An advertisement index such as the number of clicks and impressions generated in association with the sneaker banner, advertisement type information of the mobile band banner (i.e., identifier information of the corresponding advertisement product), and a billing method may be collected. At this time, if the minimum enforcement amount is not set, it can be collected.

As another example, when advertisement related information is collected for a movie trailer exposed in the form of a video banner on a predetermined area (for example, the upper right side of the initial connection screen) of the initial connection screen of the portal site 1, Entertainment can be collected as information on the type of the advertisement industry, and the minimum enforcement amount, advertisement index, advertisement type information of the video banner of the portal site 1 (that is, identifier information of the corresponding advertisement item), billing method and the like can be collected.

As another example, when advertisement information is collected for a product that is exposed when a keyword is searched for an 'Irish table' on a portal site, the category of furniture / interior / life that is the category of the product is collected as advertisement information, , A generated advertisement index, a keyword search advertisement type (e.g., a power site, a biz site, etc.) of a portal site, and keyword information and a billing method previously designated for the product. At this time, if the related keyword is set in advance, the related keyword information can also be collected together. In embodiments where the advertisement related information is collected, when there are advertisement indicators such as the number of clicks, the number of CTRs other than the number of impressions, the number of actions, and the like, at least one of the CTR and the number of actions may be collected together.

In operation 420, the information receiving unit 320 may receive advertisement condition information corresponding to a product desired by the advertiser from the advertiser terminal.

For example, the information receiving unit 320 may receive advertisement condition information through a web page for setting advertisement condition information displayed on a screen of the advertiser terminal or an application installed and executed in the advertiser terminal. For example, advertisement industry information (education, travel, entertainment, clothing, furniture, etc.) indicating a category of a product to be advertised, advertisement purpose information, advertisement cost, and the like can be received as advertisement condition information.

In step 430, the advertisement product determination unit 330 determines whether or not the advertisement related information stored in the database (that is, the advertisement index, the minimum enforcement amount, the advertisement type information, the billing method, etc. stored in correspondence with the advertisement type information of the advertisement product) The advertisement product corresponding to the advertisement condition information among the advertisement products stored in the database can be determined as the recommended advertisement product.

For example, the advertisement product determination unit 330 may search for advertisement data of a plurality of types of advertisement products, such as a keyword search advertisement, a video advertisement, a banner advertisement, and the like, And determine a predetermined number of recommended advertisement products according to the advertisement cost for the determined advertisement products.

In step 440, the advertisement providing unit 340 may provide different numbers of the recommended advertisement products to the advertiser terminal according to the advertisement cost. For example, a banner advertisement, a keyword search advertisement, a video advertisement, and the like can be provided to an advertiser through a single screen as a recommended advertisement product.

5 is a system structure diagram illustrating a data processing process for providing a recommended advertisement product in an embodiment of the present invention.

Referring to FIG. 5, the information collecting unit 310 may collect advertisement related information from various advertisement media (510). Then, the collected advertisement related information may be processed and an advertisement product database may be constructed (520). For example, an advertisement product database in which various types of advertisement products are classified according to a billing method can be constructed based on the collected advertisement-related information.

The module 530 for automating the advertisement media mix based on the information stored in the advertisement product database includes a logic 531 for determining a recommended advertisement product corresponding to the advertisement condition information inputted by the advertiser, a plurality of keywords (E.g., advertising costs, etc.) corresponding to at least one advertising product associated with the advertising content, and logic 533 providing quote data computed according to the advertising metrics . At this time, a keyword search API may be used (540) to determine a keyword search advertisement associated with a plurality of keywords input from the advertiser, and the advertisement related information corresponding to the keyword search advertisement determined by calling the keyword search API And the advertisement cost and the like may be provided to the advertiser as the estimate data related to the keyword inputted by the advertiser (550).

6 is a diagram illustrating an example of a screen configuration in which advertisement condition information is input to provide a recommended advertisement product in an embodiment of the present invention.

Referring to FIG. 6, the advertiser terminal screen 600 may include advertisement condition information such as advertisement category information, advertisement purpose information, and advertisement cost.

For example, when an application installed in an advertiser terminal is activated or when a user accesses a website providing advertisement media mix automation and selects an advertisement recommendation, advertisement information such as advertisement type information, advertisement purpose information, advertisement cost, and the like are displayed on the advertiser terminal screen 600 Advertisement condition information for receiving a selection input from an advertiser may be displayed. 6, an example of receiving advertisement condition information through an application of an advertiser terminal will be described.

The advertisement information information indicates a category to which the advertiser is to belong, and the advertising information may include an advertiser's brand, a site entrance, an application download, a video view, and the like. Here, items related to brand exposure may be further divided into whether they are exposed as a banner type or as a video type.

For example, as the display information indicating the inquiry is selected after the furniture, the interior / living of a plurality of categories are selected from the advertiser, the brand exposure is selected, the advertisement cost is set to ten million won, The advertising industry information includes an indicator indicating the furniture / interior / living, an advertising target information indicating an indicator indicating the brand exposure, and advertisement condition information having the advertisement cost set to 10 million won through the application of the advertiser terminal 320 can be received. In this way, when the advertisement condition information is received, the advertisement commodity decision unit 330 determines a certain number of advertisement commodities having a high correlation with the advertisement condition information among the advertisement commodities classified and stored in the database according to the charging method It is possible to determine a recommended advertisement product.

FIG. 7 is a flowchart illustrating an operation of providing a different number of recommended advertisement products according to an advertisement cost, in an embodiment of the present invention.

In FIG. 7, the budget allocation ratio may indicate a rate at which the advertisement cost received from the advertiser terminal is allocated to each of the recommended advertisement products.

In operation 710, the advertisement product determination unit 330 may determine a level corresponding to the received advertisement cost among a plurality of predefined cost levels.

For example, the cost level may be pre-defined as a lowest level, an intermediate level, and a highest level, and may be further subdivided into four or more levels depending on the minimum enforcement amount and advertising type of the advertising products.

For example, the cost level may be classified into 10 million won or more, 5 million to less than 10 million won, or less than 5 million won, and if the received advertisement cost is 10 million won, (I.e., level 1) corresponding to the above. If the advertisement cost is 9 million won, it belongs to the middle level (i.e., level 2). If the advertisement beauty cost is 3 million won, it can be confirmed that it belongs to the lowest level (i.e., level 3).

The advertisement product determination unit 330 may determine the recommended advertisement product based on the number of the recommended advertisement products designated at the cost level that the advertisement cost is determined to belong to, and determine the budget allocation ratio for each recommended advertisement product.

If it is determined in step 720 that the advertisement cost belongs to the highest level (720: YES), in step 730, the recommended advertisement product determination unit 330 determines that the number of recommended advertisement products is unlimited, That is, an advertisement budget). By confirming the number of recommended advertisement products, the recommended advertisement product determination unit 330 can determine a plurality of advertisement products corresponding to the received advertisement products by referring to the database.

For example, the recommended advertisement product deciding unit 330 decides the advertisement products corresponding to a predetermined reference value or more (i.e., similarity degree) between the advertisement related information of the advertisement products stored in the database and the advertisement condition information, . Then, the recommended advertisement product determination unit 330 may sort the recommended advertisement products in the order of higher priority (i.e., in order of relevance). The recommended advertisement product deciding unit 330 may allocate the advertisement cost to each of the recommended advertisement products at a predetermined fixed ratio according to the number and priority of the recommended advertisement products.

As another example, the recommended advertisement product determination unit 330 may determine the maximum number of recommended advertisements (for example, five (5), for example) in the order of relevance among the recommended advertisement products corresponding to the reference value ) Can be determined as a final recommendation advertisement product. The maximum number may be specified in advance in consideration of the screen size of the advertiser terminal. The recommended advertisement product deciding unit 330 may distribute the advertisement cost for each of the five recommended advertisement products at a predetermined fixed ratio according to the priority order.

At this time, in determining the recommended advertisement products, the advertisement product decision unit 330 may exclude the overlapping advertisement products and determine the recommended advertisement products. For example, when three A-company mobile banner advertisement items are determined to be the recommended advertisement products by overlapping with priority 1, 3, and 5, the advertisement products with a relatively low priority among the overlapping recommended advertisement products are excluded, One can be selected as a recommended advertisement product. When the number of the recommended advertisement products is preliminarily designated as 5, the overlapping two advertisement products are excluded from the recommended advertisement products, so that the priority 6 and priority 7 advertisement products can be determined as the recommended advertisement products.

Table 1 below is an example showing the advertisement cost (i.e., the advertisement budget) distributed at a fixed ratio for each recommended advertisement product determined when the advertisement cost corresponds to the highest level.

According to Table 1, advertisement costs can be specified in advance at different ratios according to the number of recommended advertisement products. For example, the advertisement budget of the first advertisement product among the recommended advertisement products may be fixedly preset to 50% regardless of the number of the 50% recommended advertisement products, and the remaining 50% And can be distributed differentially. Also, the higher the priority, the more the advertisement cost can be allocated to the advertisement than the lower recommended advertisement product.

Referring to Table 1, when five recommended advertisement products are determined and the advertisement cost is 10 million Yuan, the advertisement product decision unit 330 adds 50% of the advertisement cost of 50,000% 10,000 won can be allocated to the budget. In addition, 25% of the second recommendation advertisement product is distributed at 2.5 million won, 20% of the second recommendation advertisement product is distributed at 2 million won, and 4% It is possible to allocate KRW 400,000 and allocate KRW 100,000, which corresponds to 1%, to the 5th ranked recommendation advertisement product

If it is determined in step 720 that the advertisement cost received from the advertiser terminal does not belong to the highest level (720: No), in step 740, the advertisement product determination unit 330 determines that the recommended advertisement product number is limited . A predetermined limited number of recommended advertisement products may be determined, and a budget allocation ratio may be determined for each recommended advertisement product based on the advertisement cost. For example, if it is determined that the advertisement cost belongs to the intermediate level, the advertisement product determination unit 330 can confirm that the number of the recommended advertisement products is limited to three. If it is determined that the advertisement cost belongs to the lowest level, the advertisement product determination unit 330 can confirm that the number of the recommended advertisement products is limited to two.

Tables 2 and 3 below show an example of a budget allocation ratio determined for each recommended advertisement product when the received advertisement cost does not correspond to the highest level.

Table 2 shows the budget allocation ratios determined for the recommended advertisement products when the advertisement cost belongs to the medium level and Table 3 shows the budget allocation ratios allocated for the recommended advertisement products when the advertisement cost belongs to the lowest level.

 According to Table 2, the number of recommended advertisement products corresponding to the advertisement cost can be limited to three. According to Table 3, the number of recommended advertisement products corresponding to the advertisement cost can be limited to three. Then, the advertisement product determination unit 330 refers to the database and searches the advertisement products corresponding to the relation of the advertisement-related information of the plurality of advertisement products and the advertisement condition information with the reference value or more (i.e., three or two ) Can be determined as a recommended advertisement product. At this time, the advertisement product decision unit 330 may determine a budget allocation ratio for each of the recommended advertisement products according to the advertisement object information. In addition, if the types of the recommended advertisement products are different from each other, the advertisement product decision unit 330 may determine the budget allocation ratio or randomly determine according to the purpose of media mix of different types of recommended advertisement products. For example, as shown in Tables 2 and 3, the advertisement product determination unit 330 determines whether the media mix objective corresponds to a mainstream advertisement product, The budget allocation ratio can be determined differently for each of the recommended advertisement products depending on whether they are applicable or equilibrium distribution.

FIG. 8 is a flowchart illustrating an operation for determining a recommended advertisement product based on a minimum execution amount, according to an exemplary embodiment of the present invention.

The number of the recommended advertisement products can be checked according to the advertisement cost, and the number of the recommended advertisement products can be confirmed in the order of the degree of association between the advertisement related information and the advertisement condition information, Products can be determined. For example, if the advertisement cost is over 10 million won, N (unlimited) advertisement product is determined as the recommended advertisement product, and if the advertisement cost is over 10 million won, the advertisement product is determined as the recommended advertisement product. The product may be determined as a recommended advertisement product. The recommended advertisement product primarily determined on the basis of the cost level to which the advertisement cost belongs may correspond to the recommended candidate advertisement product rather than the finally determined recommended advertisement product, and the minimum enforcement amount of the recommended candidate advertisement product, The final recommendation advertisement product can be determined by comparing the advertisement cost (i.e., the advertisement budget) corresponding to the budget allocation ratio determined by the recommended candidate advertisement product.

In step 810, the advertisement product determination unit 330 searches the advertisement products corresponding to the advertisement condition information among the plurality of advertisement products stored in the database (e.g., the advertising products whose relevance is equal to or greater than the reference value) It is possible to compare an advertisement budget corresponding to a budget allocation ratio determined for each advertisement product with a minimum enforcement amount predetermined for the advertisement product.

In operation 820, the advertisement product determination unit 330 may finally determine advertisement products having a minimum execution amount equal to or less than the advertisement budget as a recommended advertisement product through comparison.

For example, the advertisement product determination unit 330 may calculate an advertisement budget corresponding to the budget allocation ratio determined for each of the three recommended advertisement products, with respect to the three recommended advertisement products determined based on the advertisement cost of 800 million Yuan and the advertisement condition information . For example, based on Table 2, it is assumed that 80% is allocated to a first-ranked advertisement product (e.g., a banner advertisement product), 15% is allocated to a second-ranked advertisement product When the budget allocation ratio of 5% is determined, the advertisement product decision unit 330 may calculate the advertisement budgets of the first to third rank advertisement products as 6.40, 1200, and 40000, respectively.

At this time, the advertisement product determination unit 330 can determine whether the calculated advertisement budget per product is equal to or smaller than the minimum enforcement amount predetermined for the first to third rank advertisement products. The first to third ranking advertisement products may be determined as final advertisement products. If the minimum execution amount among the first to third order advertisement products is larger than the advertisement budget, the advertisement product determination unit 330 may exclude the advertisement product having the minimum execution amount from the recommended advertisement product. The advertisement product determination unit 330 may further determine a recommended advertisement product corresponding to the number of the excluded advertisement products.

For example, the advertisement product decision unit 330 can additionally determine, as a recommended advertisement product, an advertisement product having a high correlation between the advertisement-related information of the product and the advertisement condition information, . For example, if one item is excluded, the advertisement product determination unit 330 may determine an advertisement product having the highest relevance degree of the advertisement condition information as the recommended advertisement product for the advertisement products whose minimum enforcement amount has not been determined. As described above, it is possible to determine and provide a number of the advertisement products designated in the cost level to which the advertisement cost belongs as the recommended advertisement product through the additional determination.

8, the case where the final recommendation advertisement product is determined based on the minimum enforcement amount in the case where the advertisement cost corresponds to the intermediate level is described. However, this is an example, and the advertisement cost is set to the highest level and the lowest level Likewise, the final recommendation advertisement product can be determined through comparison between the minimum enforcement amount specified for the corresponding advertisement product and the advertisement budget corresponding to the determined budget allocation ratio. That is, the advertisement product may be excluded from the recommended advertisement product primarily determined based on the minimum enforcement amount, or the recommended advertisement product may be additionally determined for the number of the excluded advertisement products have.

9 is a diagram illustrating a screen configuration of an advertiser terminal in which a recommended advertisement product is provided, according to an embodiment of the present invention.

9, when the advertisement cost is 8 million Yuan, the advertisement provider 340 transmits at least one of the expected number of impressions, the estimated number of clicks, the estimated number of actions, and the expected CTR to the advertiser terminal . Then, it is possible to provide the advertiser terminal with three recommended advertisement products determined based on the advertisement condition information and 8 million won.

Then, at least one of the predicted number of impressions 902, the estimated number of clicks 903, the estimated number of actions 904, and the estimated CTR 905 is displayed on the screen 900 of the advertiser terminal together with the advertisement cost 910 Can be displayed. At this time, the recommended advertisement product related information may be displayed at the bottom of the input / selected advertisement condition information.

(For example, a Naver power site, etc.), a mobile advertisement of a company B (for example, a cacao adam), a keyword search advertisement of a company C (for example, Can be determined as the recommended advertisement product. At this time, the screen 900 may display the number of the advertisement budget corresponding to the budget allocation rate allocated to the corresponding advertisement product together with the three recommended advertisement products, and the ratio representing the advertisement budget, in the form of a bar bar. At this time, the color of the bar bar may be displayed differently for each advertisement product. In some areas of the screen 900, an advertisement index for each of the recommended advertisement products may be displayed in a graph form 906.

For example, when the expected click count is selected as the advertisement indicator 905, the estimated click count calculated for each of the three recommended advertisement products may be displayed on the screen 900 in the form of a graph. As such, in order to provide a graph for facilitating comparison of the advertisement indexes for each recommended advertisement item, it is preferable that the advertisement indexes (for example, the estimated clicks, the estimated CTR, the estimated number of actions, And the advertisement providing unit 340 may provide the calculated advertisement index together with the identifier information of the recommended advertisement product to the advertiser terminal. Accordingly, if an advertiser changes the ad indicator via the screen 900, e.g., if the ad indicator 905 is changed from the expected clicks to the expected number of impressions, the graph 906 is updated with the expected impression-related graph And can be displayed on the screen 900.

As described above, by changing the selection of the advertisement indicator 905, not only the advertisement indicator related graph 906 is updated, but also the advertisement condition information is updated, Products and advertising metrics may be updated. For example, at least one of the advertising cost, the number of the recommended advertisement products, and the type of the recommended advertisement product may be updated when the advertising purpose is changed, and the related advertisement indicator (estimated clicks, CTR, number of impressions, etc.) may be updated.

In addition, the screen 900 may include download related display information 907, and if the display information 907 is selected, it may provide a download of the comparison graph of the recommended advertisement products and the recommended advertisement product . In addition, the display 900 may further include storage related display information, and if the storage related display information is selected, the recommended advertisement products and the corresponding advertisement indicator are matched with the advertiser identifier information (e.g., advertiser ID, etc.) Can be stored and maintained in a database in the form of a database. If there is a request from the advertiser terminal for the recommended advertisement products included in the stored advertisement list, the list may be provided.

10 is a diagram illustrating a screen configuration for providing estimated quotation data for a keyword search advertisement in an embodiment of the present invention.

10, when a keyword search advertisement is selected from an advertisement product list including a plurality of different types of advertisement products or a keyword search advertisement is selected from an advertisement product list composed of recommended advertisement products, The screen 1000 may be displayed on the advertiser terminal. At this time, it is possible to input a keyword up to a predetermined number of times (for example, five). The screen 1000 may include display information 1001 indicating whether a related keyword is included.

The advertisement product determination unit 330 may generate the estimate data corresponding to the inputted keyword based on the advertisement products collected in the database, the keyword of the advertisement product, and the advertisement related information by calling the keyword search API. For example, the estimated number of hits for each keyword, the estimated advertising cost, and the like may be generated as quotation data. Estimated advertising costs may correspond to total advertising costs included in the quote data acquired through the API. In this case, when a check box indicating the inclusion of the related keyword is selected, the advertisement product determination unit 330 determines whether the related keyword is included in a predetermined number (for example, And the like, to the advertiser terminal. In the case of the brand search advertisement, the announcement cost is determined according to the number of monthly hits provided by the advertisement medium. By collecting the advertisement related information and converting it into a DB, by using the keyword search advertisement API, Estimate data can be automatically generated. For example, the advertisement product decision unit 340 can inquire the monthly view count of the input keyword by utilizing the Naver keyword tool function of the API. Then, the number of hits of the retrieved keyword can be compared with the price information of each PC / mobile section of the brand search advertisement. Then, the total advertisement cost of the brand search advertisement, that is, the estimated advertisement cost, can be calculated according to the comparison result.

As described above, the advertiser terminal receives the minimum advertisement condition information for determining the advertisement product of the appropriate type for the advertiser terminal, and automatically recommends various types of advertisement products corresponding to the inputted advertisement condition information , It is possible to make it possible to identify an advertisement product suitable for a user even if it is a starter advertisement. It is also possible to provide a function of correcting the advertisement index indicating the efficiency of advertisement and a function of correcting the advertisement condition information and immediately providing the updated recommended advertisement products and the corresponding advertisement-related advertisement indexes according to the modified information, It is possible to make the advertisement medium suitable for exposing one's own advertisement or the advertisement method having the best efficiency of advertisement.

In addition, the user convenience can be increased by providing the keyword search advertisement and the banner advertisement at a time on a single screen, and automatically providing the estimate data for each keyword. The advertiser can immediately check which keyword is suitable for the keyword search advertisement of the product to be advertised.

The system or apparatus described above may be implemented as a hardware component, a software component or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (20)

A method for automating an advertisement media mix executed by a computer,
Collecting advertisement-related information corresponding to an advertisement exposed from different online advertisement media with different advertisement types;
Receiving advertisement condition information corresponding to an advertisement to be advertised from an advertiser terminal;
Determining a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information; And
Providing a different number of the recommended advertisement products to the advertiser terminal according to advertisement costs received from the advertiser terminal
Lt; / RTI > The method according to claim 1,
The method of claim 1,
Determining a budget allocation ratio for each of the recommended advertisement products based on the advertisement cost received from the advertiser terminal
Lt; / RTI > The method according to claim 1,
The providing of the recommendation advertisement product to the advertiser terminal comprises:
Providing a keyword search advertisement, a banner advertisement, and a video advertisement corresponding to the advertisement condition information among the plurality of advertisement products to the advertiser terminal together
The method comprising the steps of: The method according to claim 1,
The providing of the recommendation advertisement product to the advertiser terminal comprises:
The estimated click count, the estimated click through rate (CTR), and the expected action count calculated on the basis of the advertisement related information, the advertisement industry information received from the advertiser terminal, and the advertisement object information, Providing inclusion advertising indicators
The method comprising the steps of: The method according to claim 1,
The method of claim 1,
A relatively large number of advertisement products are determined as the recommended advertisement products as the advertisement cost is high
The method comprising the steps of: The method according to claim 1,
The method of claim 1,
Sequentially comparing an advertisement budget corresponding to a budget allocation ratio of a corresponding advertisement product with a minimum enforcement amount predetermined for the advertisement product in order of priority from a plurality of advertisement products corresponding to the advertisement condition information; And
Determining through the comparison that the minimum enforcement amount is less than the advertisement budget corresponding to the budget allocation rate as the recommended advertisement product
Lt; / RTI > The method according to claim 6,
The method of claim 1,
When the number of the finally determined recommended advertisement products is smaller than the reference number previously set in the cost level to which the advertisement cost belongs, the advertisement item corresponding to the insufficient number of the advertisement products whose minimum enforcement amount is not set, Steps to further determine as a product
Further comprising the steps of: The method according to claim 1,
The providing of the recommendation advertisement product to the advertiser terminal comprises:
And providing the advertiser terminal with display information indicating whether the related keyword is included together with the keyword search advertisement if the recommended advertisement product corresponds to the keyword search advertisement
The method comprising the steps of: The method according to claim 1,
The recommendation advertisement product is updated with at least one of advertisement industry information, advertisement information, and advertisement cost included in the advertisement condition information to an advertisement product corresponding to the modified advertisement condition information and provided to the advertiser terminal Being
The method comprising the steps of: An advertisement media mix automation system executed by a computer,
An information collecting unit for collecting advertisement related information corresponding to an advertisement exposed in different advertisement types from a plurality of online advertisement media;
An information receiving unit for receiving advertisement condition information corresponding to an advertisement to be advertised from an advertiser terminal;
An advertisement product determining unit that determines a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information; And
And an advertisement providing unit for providing a different number of the recommended advertisement products to the advertiser terminal according to advertisement costs received from the advertiser terminal
Wherein the advertisement media mix automation system comprises: 11. The method of claim 10,
The advertisement product determination unit may determine,
And determining a budget allocation ratio for each of the recommended advertisement products based on the advertisement cost received from the advertiser terminal
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The advertisement providing unit,
Providing a keyword search advertisement, a banner advertisement, and a video advertisement corresponding to the advertisement condition information among the plurality of advertisement products to the advertiser terminal together
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The advertisement providing unit,
The estimated click count, the estimated click through rate (CTR), and the expected action count calculated on the basis of the advertisement related information, the advertisement industry information received from the advertiser terminal, and the advertisement object information, Providing inclusion advertising indicators
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The advertisement product determination unit may determine,
A relatively large number of advertisement products are determined as the recommended advertisement products as the advertisement cost is high
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The advertisement product determination unit may determine,
Sequentially comparing a minimum enforcement amount designated in advance for a corresponding advertisement product and an advertisement budget corresponding to a budget allocation ratio of the advertisement product, in order of priority, for a plurality of advertisement products corresponding to the advertisement condition information, And finally determining the advertisement products whose minimum enforcement amount is smaller than the advertisement budget as the recommended advertisement product
Wherein the advertisement media mix automation system is characterized by: 16. The method of claim 15,
The advertisement product determination unit may determine,
When the number of the finally determined recommended advertisement products is smaller than the reference number previously set in the cost level to which the advertisement cost belongs, the advertisement item corresponding to the insufficient number of the advertisement products whose minimum enforcement amount is not set, Deciding on additional items
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The advertisement providing unit,
And providing the advertiser terminal with display information indicating whether the related keyword is included together with the keyword search advertisement if the recommended advertisement product corresponds to the keyword search advertisement
Wherein the advertisement media mix automation system is characterized by: 11. The method of claim 10,
The recommendation advertisement product is updated with at least one of advertisement industry information, advertisement information, and advertisement cost included in the advertisement condition information to an advertisement product corresponding to the modified advertisement condition information and provided to the advertiser terminal Being
Wherein the advertisement media mix automation system is characterized by: A computer program stored in a recording medium for executing a method for automating advertisement media mix in combination with a computer-implemented electronic apparatus,
The advertisement media mix automation method includes:
Collecting advertisement-related information corresponding to an advertisement exposed from different online advertisement media with different advertisement types;
Receiving advertisement condition information corresponding to an advertisement to be advertised from an advertiser terminal;
Determining a plurality of advertisement products corresponding to the advertisement condition information as a recommended advertisement product based on the collected advertisement related information; And
Providing a different number of the recommended advertisement products to the advertiser terminal according to advertisement costs received from the advertiser terminal
And a computer program product. 20. The method of claim 19,
The method of claim 1,
Determining a budget allocation ratio for each of the recommended advertisement products based on the advertisement cost received from the advertiser terminal
≪ / RTI >

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