JP4825228B2 - Advertisement distribution apparatus, advertisement distribution system, and advertisement distribution method - Google Patents

Description

  The present invention relates to an advertisement distribution device, an advertisement distribution system, an advertisement distribution method, and an advertisement distribution method that distribute advertisement displays on a network.

Conventionally, a web page on a network such as the Internet is provided with an information display area clearly distinguished from the web page, and an advertisement or the like is displayed in the information display area. Such advertisements are linked to web pages of products to be advertised, and are widely used as leading advertising advertisement methods along with newspaper advertisements.
Various methods have been devised for distributing such advertisements. For example, distribution according to user attributes such as gender and region, distribution according to the user's behavior history, distribution according to the content the user wants to browse, and the like.

On the other hand, advertisers want to deliver advertisements with high advertising effects that increase profits, and also want to pay for advertisements commensurate with profits.
As a method for paying the advertisement, generally, CPM (Cost per 1000), which is an advertisement insertion fee per display 1000 times, CPC (Cost per Click) charged each time one click is made, and charged per contract There is CPA (Cost per Action).
The advertiser chooses the most appropriate billing method according to the type of advertisement and pays the advertisement price. For example, the CPM billing method is optimal for advertisements that inform consumers of company names, product names, or service names, so-called branding ads, and CPC billing methods for advertisements intended to lead to a new homepage (HP). Is optimal, and the CPA billing method is optimal for advertisements aimed at contracting.

  In view of this, an advertising fee charging method corresponding to the advertising effect has been proposed in order to improve the effect of the distributed advertisement (for example, Patent Document 1 and Patent Document 2).

  The advertisement billing system described in Patent Literature 1 includes a server that distributes advertisements, a browsing terminal that browses advertisements distributed by transmitting user identification information, a portable terminal that stores user identification information in advance, and a store. A store terminal that acquires user identification information by communicating with a portable terminal and transmits it to the server is provided, and charging is performed according to the frequency of matching between the user identification information at the time of browsing and at the time of settlement.

  In the advertisement distribution system described in Patent Literature 2, when electronic payment is performed by a user's portable terminal, the electronic payment apparatus acquires advertisement information from the advertisement storage device and distributes the advertisement to the portable terminal. Then, when the advertisement is accessed from the mobile terminal, the store is identified by acquiring the distribution source information, and the advertisement distribution fee to be paid to the store is tabulated.

JP 2004-220299 A JP 2007-41663 A

However, although it is possible to deliver according to the user's preference by the delivery method according to the user's attributes as described above, it is difficult to say that it is directly related to the contract, so it is more effective for the advertiser. Difficult to get.
In Patent Document 1 and Patent Document 2, billing according to the advertising effect is the main purpose, and a higher advertising effect cannot be obtained. Moreover, since it is the method of charging based on the user information and store information which were obtained by communication with a portable terminal and the apparatus installed in the store, a user has to make a payment with a portable terminal. In other words, since it is not possible to charge an advertisement unless a product is actually purchased, it is not possible to deal with a charging method such as CPM or CPC.

  It is an object of the present invention to obtain a high advertising effect by performing optimal advertisement distribution to a user even if the advertiser does not have marketing expertise, and to charge the advertiser appropriately. An advertisement distribution apparatus, an advertisement distribution system, and an advertisement distribution method are provided.

An advertisement distribution apparatus according to the present invention provides advertisement display information to a web server that receives an advertisement from an advertiser-side terminal connected via a network and distributes a plurality of web pages to a client terminal. A request receiving unit that receives an advertisement display request for requesting an advertisement display from the web server , and a result totaling unit that totals as a result for the advertisement when there is an action on the advertisement; A record log database that records the results and is updated each time the results are totaled by the results totaling unit, a user information database that records user information about users for each user, a billing method for the advertisement display , amount of money, and the advertisement information database to record the advertising industries in each ad, before the stored in the actual log database Based on the results, for each user information to obtain a high advertisement effect industries in order, and optimization condition analysis unit that sets as a category, the user information, and the user set by the optimization condition analysis unit and optimization information database for recording a plurality of categories for the information, the advertisement information billing amount is recorded in the database the optimization information database to implement an optimization process based on the stored data to calculate the optimum value An advertisement optimization processing unit that selects the submitted advertisement based on the optimal value; and an advertisement display distribution unit that distributes advertisement display information of the advertisement selected by the advertisement optimization processing unit to the web server; , was provided, are set respectively optimized ratio in each category is recorded in the optimization information database, the advertising optimization processing unit, wherein the optimization index Zui it, and calculates the optimum value from the charge amount.

In the present invention, a request reception unit, an optimization condition analysis unit, an optimization information database, an advertisement information database, an advertisement optimization processing unit, an advertisement display distribution unit, an advertiser side terminal and a web server connected via a network are provided. In cooperation, the client terminal connected via the network is provided with a website having a plurality of web pages on which advertisements are displayed.
At this time, the advertisement optimization processing unit performs an optimization process on each advertisement in accordance with the attribute of the user accessing from the client terminal and distributes the optimal advertisement display to the user. Here, the advertisement optimal for the user is an advertisement that matches the user's preference and means that it is most likely to lead to purchase.

When the user operates the client terminal to access the website, the web server that transmits the website requests the advertisement distribution apparatus to display an advertisement to be displayed on the web page.
When the request receiving unit recognizes an advertisement display request, the advertisement distribution device performs an optimization process for each advertisement in order to distribute an optimal advertisement to the user.
First, the optimization condition analysis unit analyzes categories that are optimal for various conditions based on past input conditions for advertisement display from the client terminal, and stores the results in the optimization information database. The optimization information database stores a plurality of optimum categories for various conditions in the optimum order.
Here, the past input status with respect to the advertisement display from the client terminal is a total of the results of the action of the client terminal for each advertisement, and may be obtained from an external institution, or the advertisement distribution device The results may be aggregated within.

The advertisement information database stores IDs, image data, billing methods, billing amounts, and the like for each advertisement. There are multiple types of billing methods, which are determined according to the type and purpose of the advertisement.
The advertisement optimization processing unit performs an optimization process based on the information stored in the optimization information database with respect to the billing amount stored in the advertisement information database. For example, the optimization information database is searched for an advertisement that matches a category that meets various conditions such as user attributes, distribution date and time, and the advertisement placement position. If there is data corresponding to the conditions in the optimization information database, the optimization process is performed on the advertisement. As the optimization process, for example, an optimization rate is set for each category set in the optimization information database, and the optimization rate of the matching category is reflected in the charge amount.
Then, the advertisement with the highest advertising effect is selected from the optimized advertisements, and the advertisement display information of the selected advertisement is distributed from the advertisement display distribution unit to the web server.

In the present invention, the optimization condition is analyzed based on the past input situation with respect to the advertisement display from the client terminal, and is recorded as the optimization information database. And since the advertisement of the category which matches conditions, such as a user's attribute, is searched from this optimization information database, an optimal advertisement can be delivered to a user. As a result, the user tends to pay attention to the advertisement and easily leads to purchase of the product. That is, a high advertising effect can be obtained.
Thus, the advertisement distribution apparatus of the present invention can be systematized. Therefore, even an advertiser who does not have marketing knowledge can distribute an advertisement with a high advertising effect to the user.

Furthermore, even if the advertising budget is small, the number of advertisement distributions to the target user increases due to the targeted advertisement, which is likely to lead to purchase. That is, the advertising effect is very high.
And by performing such an appropriate advertisement distribution, it is not necessary for the advertisement distribution site to have an excessive inventory of advertisements, so the cost on the advertisement distribution side can be reduced.

In the advertisement distribution apparatus according to the present invention, the advertisement optimization processing unit converts the charge amount recorded in the advertisement information database into an amount of a uniform charge method, and based on the optimization rate from the converted amount, It is preferable to calculate an optimum value.
Since various conversion methods are registered in the advertisement information database, they cannot be generally compared. However, according to the present invention, since the amount of money is converted by a uniform conversion method for all advertisements, the advertisements can be compared with each other. Therefore, the optimization process for each advertisement can be accurately performed, and the systemization of the advertisement distribution apparatus of the present invention becomes easier.

  In the advertisement distribution apparatus according to the present invention, it is preferable that the uniform accounting method is converted into the amount of money by uniformly converting the accounting method as CPM (Cost per 1000).

Generally, as a billing method for advertisements displayed on a web page, CPM (Cost per 1000) charged per 1000 times displayed, CPC (Cost per Click) charged per one click, charged per contract CPA (Cost per Action). The advertisement information database is registered by any one of these charging methods, and it is difficult to compare them in general.
In the present invention, even if the billing method of the advertisement recorded in the advertisement information database is CPC or CPA, it is converted into CPM from these.

As the conversion method, for example, an index such as CTR (Click Through Rate) or CVR (Conversion Rate) can be used. CTR represents the rate at which an ad is clicked on the display and is referred to as the click rate. CVR represents the rate of purchases or contracts relative to the number of visits to the website of the ad and is referred to as the conversion rate. . CTR and CVR are calculated according to the past performance of each advertisement. These data may be tabulated by an external organization, or may be a result tabulated inside the advertisement distribution apparatus of the present invention.
Therefore, since the CPM values of all advertisements are calculated, it is possible to compare them in general, to perform the optimization process accurately, and to systematize the optimization process of the advertisement optimization processing unit more easily. be able to. As a result, it is possible to provide a user with an advertisement having a higher advertising effect without knowledge of marketing or the like regarding advertisement distribution.

In the advertisement distribution device of the present invention, the advertisement optimization processing unit, a category subject to a said user information recorded in the user information database and retrieved from the optimization information database is set to the category It is preferable to calculate the optimum value based on the optimization rate.

In this invention, the user ID of the user who has accessed the web page and the user ID recorded in the user information database are associated with each other to acquire the user information, and the conditions and optimization based on the user attributes included in this information Associate with information database conditions. Thereby, the optimum category for the user is determined. Then, an optimization process is performed on the converted amount of the advertisement that matches the category.
For example, the optimization rate used for the optimization process is set for each category, and the optimization rate is reflected in the converted amount.

As described above, the user information is used as a condition, and a category that meets the condition is searched from the optimized information database, so that an optimal advertisement can be distributed to the user.
Therefore, the user can easily pay attention to the distributed advertisement and easily purchase the product, so that a high advertising effect can be obtained. That is, even if the advertising budget is small, the number of advertisements delivered to the target user increases due to the targeted advertisement, and it is easy to make a purchase.

The advertisement distribution device of the present invention, the advertising optimization processing unit, the advertisement information information stored in the database to find a category that the condition from the optimization information database, optimized rate set in the category It is preferable to calculate the optimum value based on the above .

Here, the information stored in the advertisement information database includes, for example, a delivery date and a posting position. The distribution date and time is the time zone for distributing the advertisement, and the posting position is the position for displaying the advertisement on the web page.
In this invention, since the category corresponding to the various conditions of the advertisement is searched from the optimization information database, an appropriate advertisement can be displayed to the user. For example, if the advertisement is to be displayed on the housewives, the target can be narrowed down by distributing it during the daytime.
This makes it easier for the user to pay attention to the distributed advertisement, and leads to purchase of the product. That is, a high advertising effect can be obtained.

  In the advertisement distribution apparatus according to the present invention, it is preferable that the submitted advertisement is selected by selecting an advertisement having the highest optimum value.

  According to this invention, since the advertisement display having the highest optimum value is selected and distributed to the user, the highest advertisement effect can be obtained.

In the advertisement distribution device of the present invention, characterized by comprising a record aggregation unit to aggregate as results when there is action on previous SL ads.

  According to this invention, if there is any action for the advertisement display on the distributed web page, the result totaling unit totals as a result log. For example, when an advertisement distribution device distributes an advertisement display to a web server, when there is a page request for requesting an advertisement page by accessing the distributed advertisement display, a purchase procedure is performed on the advertiser side terminal. Such as when it was done.

  The contents of the results log include, for example, the number of times the advertisement is displayed on the web page, the number of times the display advertisement displayed on the web page is clicked, and the purchase or contract from the display advertisement displayed on the web page. There are times. From these results, it is also possible to calculate CTR (Click Through Rate) and CVR (Conversion Rate). CTR is a click rate indicating a rate at which an advertisement is clicked with respect to an impression, and CVR is a rate of purchase or contract with respect to the number of accesses to the website of the advertisement.

  In this way, since the results are counted when there is some action on the distributed advertisement display, accurate information is accumulated in the database. Therefore, if the above-described optimization condition analysis is performed based on this performance log, a more accurate analysis can be performed and a more optimal advertisement can be distributed to the user. That is, the advertising effect can be further improved.

Advertisement distribution device of the present invention includes a record log database that records the results aggregated by the record aggregation unit, the record aggregation unit, and updates the record log database each time the aggregate.

  In the present invention, every time there is some action on the distributed advertisement display, the results are totaled and stored in the database, so the latest result log is always held. Therefore, the optimization condition analysis unit can always analyze the optimization condition based on the latest result log. Thereby, since an optimization process can be performed more correctly, an advertising effect can be improved more.

  When the client terminal accesses the advertisement display, the advertisement distribution apparatus of the present invention receives an advertisement page request for requesting an advertisement page corresponding to the advertisement display from the web server, and sends the advertisement page request to the advertiser side terminal. It is preferable to include a transfer unit that transfers the advertisement page request.

  When the user performs an action such as clicking on the advertisement display on the web page, the transfer unit transmits an advertisement page request to the advertiser side terminal of the advertisement. When the advertiser side terminal receives this page request, the advertiser side terminal transmits the corresponding advertisement page to the client terminal. Thereby, the user can browse the advertisement page on the client terminal.

In the advertisement distribution apparatus according to the present invention, it is preferable that the advertisement display is a banner advertisement.
Here, the banner represents an information display area for displaying a series of information separately from other parts of the web page in the web page. Further, the banner advertisement represents a banner that displays advertisements and advertisements for products and the like. A banner advertisement is often provided with a link to a web page such as a product.

  According to the present invention, since the line of sight tends to gather in the banner advertisement, the user's attention can be urged. If attention can be urged, as described above, the banner advertisement displays an advertisement having a high content of interest to the user, which is likely to lead to purchase. That is, the advertising effect can be further enhanced.

  The advertisement distribution system of the present invention includes a client terminal on which a website having a plurality of web pages is displayed, a web server connected to the client terminal via a network and providing the website, and an advertisement on the web server It is characterized by comprising the above-mentioned advertisement distribution apparatus that provides a display, and an advertiser side terminal that is connected to the advertisement distribution apparatus via a network and submits an advertisement to the advertisement distribution apparatus.

  According to the present invention, the same effects as described above can be achieved by the client terminal, the web server, the advertisement distribution device, and the advertiser side terminal connected via the network.

An advertisement delivery method of the present invention includes a client terminal on which a website having a plurality of web pages is displayed, a web server connected to the client terminal via a network and providing the website on which advertisements are displayed, An advertisement distribution device that performs optimization processing on each advertisement according to the user who accesses the website or the condition of each advertisement, and distributes advertisement display information of the optimal advertisement to the web server, and the advertisement distribution device An advertisement distribution method implemented in an advertisement distribution system including an advertiser-side terminal for submitting an advertisement, wherein the advertisement distribution device includes user information database that records user information for each user , A billing method for the advertisement display, a billing amount, and an advertisement information database for recording the type of advertisement for each advertisement; For example, the advertisement distribution device, as the optimization process, if there is action on the advertisement, and the record aggregation step of aggregating the results for the advertisement, based on the results, for each user information to obtain a high advertisement effect industries in order, on the basis of the optimized ratio set respectively and the optimal Kakai analysis processing step of setting as a category, relative to the category set by the optimization analysis process, the advertisement An optimization processing step of calculating an optimal value from the billing amount and an advertisement distribution selection processing step of selecting an advertisement to be distributed to the web server based on the optimal value are performed.

According to this invention, since the optimization processing is performed on the above-mentioned conversion amount based on the optimization information analyzed based on the input status of the client terminal with respect to the advertisement display on the web page, the optimization according to various conditions is performed. Can be implemented accurately.
And the advertisement with the highest optimal value optimized in this way can obtain the highest advertising effect. Therefore, a high advertising effect can be obtained by selecting the advertisement with the highest optimal value and distributing it to the user.

  In the advertisement distribution method of the present invention, it is preferable that a conversion processing step of converting the billing amount of the advertisement into a uniform billing method amount is performed before the optimization processing step.

  According to the present invention, since all advertisements are converted into a uniform charge method, it is possible to compare even advertisement displays with different charge methods.

  Since the above method can be systematized, an advertisement display with a higher advertising effect can be distributed to the user without knowledge of marketing. That is, since a higher advertising effect can be obtained with a smaller advertising budget, the advertiser can expect cost reduction and higher profits.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[Outline of configuration of advertisement distribution system]
FIG. 1 is a diagram showing an outline of the configuration of an advertisement distribution system including an advertisement distribution server according to an embodiment of the present invention.
As shown in FIG. 1, the advertisement distribution system 10 is connected to an advertiser-side terminal 100 that submits an advertisement, and is connected to the advertiser-side terminal 100 via the Internet 20 to store and store the received advertisement. An advertisement distribution server 200 as an advertisement distribution apparatus that selects and distributes an optimal advertisement from among the advertisements that have been distributed, a Web server 300 that is connected to the advertisement distribution server 200 via the Internet 20, and the Internet 20 A client terminal 400 that accesses the Web server 300 and browses a Web page.

  The Internet 20 is based on a general-purpose protocol such as TCP / IP, but is not limited to this. For example, an intranet such as a LAN (Local Area Network), a network such as a communication line network or a broadcasting network in which a plurality of base stations capable of transmitting and receiving information via a wireless medium constitute a network, and a medium for directly receiving data Any configuration for transmitting and receiving data, such as the wireless medium itself, can be used.

The advertiser terminal 100 submits advertisement data such as a product or service to be advertised to the advertisement distribution server 200 via the Internet 20.
The advertisement distribution server 200 accumulates advertisement data submitted from the advertiser-side terminal 100 and determines an advertisement to be distributed based on user information of the client terminal 400 that has accessed the web page.
The Web server 300 is a device that manages a site managed by an ISP (Internet Service Provider) provider. A clearly distinguished information display area is secured in a part of this site, and advertisements distributed from the advertisement distribution server 200 via the Internet 20 are displayed in this information display area.

  The client terminal 400 accesses the Web server 300 via the Internet 20 and requests a page to be browsed. Then, the web page received from the web server 300 is displayed. In the present embodiment, the web page provided by the web server 300 to the client terminal 400 is a search site for searching web documents on the Internet 20.

[Details of configuration of advertisement distribution system]
FIG. 2 is a diagram showing details of the configuration of the advertisement distribution system including the advertisement distribution server according to the embodiment of the present invention.
As illustrated in FIG. 2, the client terminal 400 includes a page request unit 410 that requests a web page from the web server 300, a page reception unit 420 that receives a web page from the web server 300, and the displayed web page When an advertisement banner is clicked, an advertisement page request unit 430 that requests the advertisement page of the advertisement, an advertisement page reception unit 440 that receives the advertisement page of the advertisement from the advertiser terminal, and a purchase procedure from the advertisement page A purchase procedure unit 450.

  Although not shown in FIG. 2, the client terminal 400 has, for example, terminal display means for outputting a web page as a screen display as output means, terminal input means such as a keyboard as input means, and output for printing out. And terminal printing means such as a printer as means.

When requesting a web page, the page request unit 410 transmits user-related information such as a user ID to the web server 300. Examples of the user related information include cookie.
The client terminal 400 is not particularly limited as long as it is a device that can be connected to the Web server 300 via the Internet, and examples thereof include a mobile phone and a laptop computer. In FIG. 1, a configuration in which one client terminal 400 and one Web server 300 are connected is illustrated for the sake of explanation, but actually, the Web server 300 is connected to a large number of client terminals 400. Service can be provided.

  The Web server 300 includes a calculation processing device as a calculation unit and a storage device (not shown) as a storage unit, and is a terminal device. The client terminal 400 and the advertisement distribution server 200 are connected to the network. The web server 300 accesses the client terminal 400 or the advertisement distribution server 200 periodically or as necessary, and transmits / receives various data to be transmitted from these through the network.

As the arithmetic processing unit, a page request receiving unit 310 that receives a page request from the page request unit 410 of the client terminal 400, and an advertisement banner request unit that requests an advertisement banner to be displayed on the requested page to the advertisement distribution server 200. 320, an advertisement banner receiving unit 340 that receives an advertisement banner from the advertisement distribution server 200, a page transmission unit 330 that transmits a requested web page to the client terminal 400, and an advertisement banner on the web page at the client terminal 400 is clicked An advertisement page request receiving unit 350 that receives the advertisement page from the advertisement page receiving unit 440, and an advertisement page request unit 360 that requests the requested advertisement page from the advertisement distribution server 200.
The web server 300 transmits the advertisement banner received by a web page creation unit (not shown) to the client terminal 400 after being incorporated into the web page.

  On the other hand, the storage device stores data transmitted and output from the client terminal 400 and the advertisement distribution server 200. For example, a database that stores user information, a database that stores form data related to various forms, and the like. I have.

  The advertisement distribution server 200 includes a storage device as storage means and an arithmetic processing device as arithmetic means, and is a terminal device. The network is connected to the Web server 300 and the advertiser side terminal 100. The advertisement distribution server 200 accesses the Web server 300 or the advertiser-side terminal 100 periodically or as necessary, and transmits / receives various data to be transmitted from these through the network.

  The storage device includes an advertisement information database 201 that stores advertisement data submitted from the advertiser-side terminal 100, a user information database 202 that stores user information such as a user ID, and the effects of distribution of each advertisement as a result. An accumulated performance log database 203 and an optimization information database 204 for accumulating results analyzed by the optimization condition analysis unit 260 based on the performance log database 203 are provided.

  For example, as shown in Table 1 below, the advertisement information database 201 has a table structure in which advertisement data for each advertisement ID of each advertisement, type of business / product, posting position, billing information, target, and the like are stored as one record. It has become. The advertisement data is a medium such as sound or image, and the ID assigned to the information display area on the web page is recorded as the posting position. In the billing information, the unit price of any one of CPM, CPC, and CPA is recorded. Note that the information stored in the advertisement information database 201 is not limited to these, and for example, information that defines which conditions among the optimum advertisement conditions described later are distributed to the user is also stored.

  For example, as shown in Table 2 below, the user information database 202 has a table structure in which attributes, areas, action histories, and the like for each user ID of each user are stored as one record. The information stored in the user information database 202 is not limited to these.

For example, as shown in Table 3 below, the result log database 203 has a table structure in which impression results, click results, purchase results, CTR, CVR, etc. for each advertisement ID of each advertisement are stored as one record. Yes.
Here, impression results are the number of impressions on the web page, click results are the number of clicks on the advertising banner displayed on the web page, purchase results are clicked on the advertisement banner on the web page, and products from the advertiser's website are selected. The number of purchases is recorded. CTR (Click Through Rate) is a click rate indicating the rate at which an advertisement is clicked with respect to an impression, and CVR (Conversion Rate) is the rate of purchase or contract with respect to the number of accesses to the website of the advertisement. It is said.

The optimization information database 204 stores the results analyzed based on the data accumulated in the performance log database 203. For example, as shown in Table 4 below, the table structure is such that category 1, category 2, and category 3 are stored as one record in the order of the highest advertisement effect for each condition as the optimum advertisement condition. .
The optimum advertisement condition is determined based on data stored in the advertisement information database 201, the user information database 202, and the like. For example, various data can be used as a condition, for example, according to the advertisement placement position or according to user attributes.
Category 1, category 2, and category 3 are set to category 1, category 2, and category 3 in order of the type of business that has the highest advertising effectiveness for each optimum advertisement condition. In each category, an optimization rate used when optimizing the CPM value is set. In Table 4, category 1 is 20%, category 2 is 15%, and category 3 is 10%. The optimization rate is not limited to these values, and can be changed as appropriate. Further, the number of categories is not limited to three, and may be increased or decreased as necessary.

  On the other hand, the arithmetic processing device includes an advertisement banner request receiving unit 210 that receives an advertisement banner request from the advertisement banner request unit 320 of the Web server 300, and an advertisement banner distribution unit 220 that distributes the advertisement banner to the Web server 300. A transfer unit 230 that receives the advertisement page request from the advertisement page request unit 360 and transfers the advertisement page request to the advertiser side terminal 100; and a submission reception unit that receives the advertisement data submitted from the advertiser side terminal 100 240, a result totaling unit 250 that totals the results of advertisement distribution, an optimization condition analysis unit 260 that analyzes optimization conditions based on the totaled results, and a calculation for distributing an optimal advertisement to the user And an advertisement optimization processing unit 270.

The advertisement banner request receiving unit 210 receives an advertisement banner request and also receives information about a user who has accessed the web server.
The advertisement banner distribution unit 220 distributes the advertisement banner to the Web server 300.
When the distributed advertisement banner is clicked, the transfer unit 230 receives the advertisement page request and transmits it to the advertiser-side terminal 100.
The submission receiving unit 240 registers the advertisement data submitted from the advertiser terminal 100 in the advertisement information database 201.

The result totaling unit 250 totals the results each time the advertisement banner is distributed, the request for the advertisement page is transferred, and the purchase is performed at the advertiser terminal 100, and the result log information is accumulated in the result log database 203.
The optimization condition analysis unit 260 analyzes the optimization conditions from the performance log information accumulated in the performance log database 203, and sets the industry with the highest advertising effect for each optimization condition in order from category 1 to category 3. Things are registered in the optimization information database 204.
The advertisement optimization processing unit 270 calculates the conversion amount by unifying the advertisement billing method stored in the advertisement information database 201 to CPM. And the category in which the conditions regarding a user or an advertisement and the content of the optimization information database 204 correspond is searched, and the optimization process of a conversion amount is implemented using the optimization rate set to each category.

  In addition to submitting an advertisement to the advertisement distribution server 200, the advertiser side terminal 100 receives the request for the advertisement page transferred from the transfer unit 230 and transmits the advertisement page to the client terminal 400. When the purchase procedure is performed by the purchase procedure unit 450 of the client terminal 400, the advertiser terminal 100 receives the procedure and completes the purchase.

[Advertising system operation]
FIG. 3 is a flowchart of the advertisement optimization processing unit according to the embodiment of the present invention. FIG. 4 is a process diagram showing a process of optimizing the CPM value according to the embodiment of the present invention.
Hereinafter, the operation of the advertisement distribution system 10 will be described with reference to FIGS. 3 and 4 with reference to FIG. 2 as appropriate.

As shown in FIG. 4, the user in the present embodiment is in a state of “male in his twenties, living in 23 wards, high number of times browsing the internet auction, browsing pages related to automobiles”.
First, the user inputs operating the terminal input means (not shown) of the client terminal 400, in order to access the W eb server 300, for example, enter the address by activating a web browser. By inputting this address, the client terminal 400 requests a web page from the page request unit 410 to the page request receiving unit 310 of the web server 300. At this time, the user ID is also transmitted by Cookie.
When the page request receiving unit 310 receives this page request, the Web server 300 requests an advertisement banner to be displayed on the corresponding page from the advertisement banner request unit 320 to the advertisement distribution server 200. At this time, the user ID received from the client terminal 400 is also transmitted to the advertisement distribution server 200 at the same time.

The operation of the advertisement distribution server 200 will be described in detail below based on FIG.
In ST1, when receiving an advertisement banner request from the Web server 300, the advertisement optimization processing unit 270 extracts the received user ID information from the user information database 202 and proceeds to ST2.

Although not shown in FIGS. 2 and 3, if the user does not have a user ID, the Web server 300 displays a new registration web page. Here, it is possible to receive registration in the user information database 202 by inputting predetermined items such as a desired user ID and transmitting them to the Web server 300 and the advertisement distribution server 200.
Predetermined items to be entered when newly registering a user ID include a desired user ID, password, e-mail address, name, gender, age, etc., but are not limited thereto, and can be arbitrarily set as required. Yes (see Table 2).

  In ST2, the advertisement optimization processing unit 270 converts billing information for all advertisements stored in the advertisement information database 201 into CPM values. For conversion into CPM values, CTR and CVR recorded in the performance log database 203 are used (see Table 3).

The conversion method to CPM value using CTR and CVR will be specifically described with reference to FIG.
As shown in FIG. 4, the advertisement information database 201 includes advertisement A (industry: used car sales, merchandise: general used cars, target: auction users), advertisement B (industry: domestic car sales, merchandise: light cars). , Target: 20-30s, male, resident in Tokyo, 9: 00: 00-18: 00) and advertisement C (industry: imported car sales, merchandise: large wagon, target: 30-40s, with investment history) Has been. The billing method for each advertisement is also stored here. The billing method for the advertisement A is ¥ 50 for CPM, the billing method for the advertisement B is ¥ 1000 for CPC, and the billing method for the advertisement C is ¥ 10000 for CPA. (See Table 1).

When the charging method is CPC, the CPM value is obtained by multiplying the CPC value by the CTR value. When the charging method is CPA , the CPM value is obtained by multiplying the CPA value by the CTR value and the CVR value.
In the above example, the billing information for the advertisement A is CPM, so the CPM value is ¥ 50 as it is, and the billing information for the advertisement B is CPC, so that the CPM value is ¥ 1000 × 10% = ¥ 100. Since the billing information of the advertisement C is CPA, the CPM value is ¥ 150 from ¥ 10000 × 15% × 10% = ¥ 150.

After the conversion to the CPM value is completed, the advertisement optimization processing unit 270 proceeds to ST3.
In the process after ST3, the optimization process is executed based on the contents stored in the optimization information database 204.
Here, the optimization information database 204 will be described. Since the optimization condition analysis unit 260 creates the optimization information database 204 based on the data stored in the performance log database 203, the optimization information database 204 is also updated whenever the performance log database 203 is updated. .
Note that the performance log database 203 collects the results when the advertisement banner is distributed from the advertisement banner distribution unit 220, when an advertisement page is requested by the transfer unit 230, and when the purchase procedure is received by the advertiser terminal 100. Updated by the unit 250.
The optimization information database 204 sets an advertisement having the highest advertising effect as category 1 for all advertisement optimum conditions, and sets category 2 and category 3 in descending order of results. In each of these categories, the optimization rate of the CPM value is set. For example, 20% is set for advertisements corresponding to category 1, 15% for advertisements corresponding to category 2, and 10% for advertisements corresponding to category 3. (See Table 4).

In the present embodiment, categories 1 to 3 are created and the CPM value optimization rates are 20%, 15%, and 10%. However, the present invention is not limited to these values. It can be set as appropriate according to the type and number of advertisements.
Further, the optimum advertisement conditions are not limited to those exemplified here, such as those based on user attributes, those based on action history, those based on distribution date and time, and those based on the contents of the posting surface.

In ST3, it is determined whether or not each advertisement can be targeted by a user attribute.
Specifically, in the optimization information database 204, if the attribute of the corresponding user registered in the user information database 202 is stored as the advertisement optimum condition, and the type of the advertisement is stored in any category Targeting by user attribute is possible. Therefore, it becomes Yes and progresses to ST4. When the attribute of the corresponding user or the type of business of the corresponding advertisement is not registered, the answer is No and the process proceeds to ST6.

  In ST4, if the corresponding advertisement desires distribution by user attribute, it becomes Yes and proceeds to ST5. If distribution by user attribute is not desired, No is determined and the process proceeds to ST6. In addition, the presence or absence of the distribution request by the user attribute is registered in the advertisement information database 201. If the presence / absence of the distribution request by the user attribute is not registered in the advertisement information database 201, it is determined as Yes and the process proceeds to ST5.

In ST5, the CPM value of the corresponding advertisement is optimized based on the user attribute condition.
Specifically, the optimization information database 204 confirms the category of the target user of each advertisement stored in the advertisement information database 201 and the category in which the type of business of the corresponding advertisement is stored, and optimizes the corresponding category. The product of the rate and the CPM value becomes the new CPM value.
After the optimization of the CPM value, the advertisement optimization processing unit 270 proceeds to ST6.

ST6 to ST8 operate in the same manner as ST3 to ST5.
In ST6, it is determined whether or not each advertisement can be targeted by action history.
Specifically, in the optimization information database 204, the action history of the corresponding user registered in the user information database 202 is stored as the advertisement optimum condition, and the type of the corresponding advertisement is stored in any category. For example, targeting based on the action history of the user can be performed. Therefore, it becomes Yes and progresses to ST7. When the action history of the corresponding user or the business type of the corresponding advertisement is not registered, No is determined and the process proceeds to ST9.

  In ST7, if the corresponding advertisement desires distribution by action history, it becomes Yes and proceeds to ST8. If distribution by the action history is not desired, the answer is No and the process proceeds to ST9. In addition, the presence or absence of the distribution request by the action history is registered in the advertisement information database 201. When the presence / absence of the distribution request based on the action history is not registered in the advertisement information database 201, it is determined as Yes and the process proceeds to ST8.

In ST8, the CPM value of the corresponding advertisement is optimized based on the action history conditions.
Specifically, from the optimization information database 204, the user's behavior history and the category in which the type of business of the corresponding advertisement stored in the advertisement information database 201 is stored are confirmed, and the optimum of the corresponding category is confirmed. The new CPM value is obtained by multiplying the conversion rate by the CPM value.
After the optimization of the CPM value, the advertisement optimization processing unit 270 proceeds to ST9.

  In ST9, if the corresponding advertisement desires distribution by distribution date and time, it becomes Yes and proceeds to ST10. If distribution by distribution date / time is not desired, the answer is No and the process proceeds to ST11. In addition, the presence / absence of the distribution request by the distribution date / time is registered in the advertisement information database 201. If the presence / absence of the distribution request according to the distribution date / time is not registered in the advertisement information database 201, it is determined as Yes and the process proceeds to ST10.

In ST10, the CPM value of the corresponding advertisement is optimized based on the distribution date and time conditions.
Specifically, from the optimization information database 204, a new CPM value is obtained by multiplying the CPM value by the optimization rate of the category that is the type of business of the advertisement and the advertisement optimization condition is the delivery date and time.
After the optimization of the CPM value, the advertisement optimization processing unit 270 proceeds to ST11. If the delivery date / time is not stored as the advertisement optimization condition, the process proceeds to ST11 without optimizing the CPM value.

  In ST11, if the corresponding advertisement desires distribution by placement position, it becomes Yes and proceeds to ST12. If distribution by the posting position is not desired, the answer is No and the process proceeds to ST13. In addition, the presence or absence of the distribution request by the posting position is registered in the advertisement information database 201. If the presence / absence of distribution request according to the posting position is not registered in the advertisement information database 201, it is determined as Yes and the process proceeds to ST12.

In ST12, the CPM value of the corresponding advertisement is optimized based on the placement position condition.
Specifically, from the optimization information database 204, a new CPM value is obtained by multiplying the CPM value by the optimization rate of the category that is the business category of the advertisement in which the advertisement optimization condition is the posting position.
After the optimization of the CPM value, the advertisement optimization processing unit 270 proceeds to ST13. If the placement position is not stored as the advertisement optimization condition, the process proceeds to ST13 without converting the CPM value.

  In ST13, if the corresponding advertisement desires distribution on the placement side, it becomes Yes and proceeds to ST14. If distribution by the posting side is not desired, the answer is No and the process proceeds to ST15. In addition, the presence or absence of the distribution request by the printing surface is registered in the advertisement information database 201. When the presence / absence of the distribution request on the placement side is not registered in the advertisement information database 201, it is determined as Yes and the process proceeds to ST14.

In ST14, the CPM value of the corresponding advertisement is optimized based on the conditions of the placement surface.
Specifically, if the content of the web page currently being viewed matches the relevance and compatibility with the business type, product, etc. of the corresponding advertisement, a new one with a CPM value multiplied by an optimization rate of 20% A CPM value is obtained.
After the optimization of the CPM value, the advertisement optimization processing unit 270 proceeds to ST15. If the placement page is not stored as the advertisement optimization condition, the process proceeds to ST15 without converting the CPM value.

Here, for the advertisements A, B, and C shown in FIG. 4, the above-described steps ST3 to ST14 will be described more specifically.
In the case of the advertisement A, the target is “auction user” and relates to the action history.
Therefore, No is determined in ST3 and the process proceeds to ST6.

In ST6, the data of the optimization information database 204 in Table 4 is referred to, and it is confirmed whether or not there is a category in which the corresponding condition (“auction user”) matches the “used car” that is the type of business of the advertisement A. In this case, category 1 in which “auction user” and “used car” in the optimization information database 204 meet. That is, it becomes Yes in ST6 and proceeds to ST7.
In ST7, if it is registered in the advertisement information database 201 that there is a distribution request based on the action history of the advertisement A, the determination becomes Yes, and the process proceeds to ST8.
In ST8, the CPM value of the advertisement A calculated in ST2 is multiplied by the category 1 optimization rate of 20%. That is, the CPM value of the advertisement A is (¥ 50 × 120% = ¥ 60). Then, the process proceeds to ST9.

In ST9, since there is no distribution request based on the distribution date and time, the process proceeds to ST11.
In ST11, since there is no distribution request based on the posting position, the process proceeds to ST13.
In ST13, if it is registered in the advertisement information database 201 that there is a distribution request according to the contents of the posting page, the answer is Yes, and the process proceeds to ST14.
In ST14, the page being browsed by the user is an automobile-related page, and the business type of the advertisement A is “used car sales”. Therefore, the optimization rate of 20% is applied to the CPM value calculated in ST8. That is, the CPM value of the advertisement A is (¥ 60 × 120% = ¥ 72).

In the case of the advertisement B, the target is “20-30s, male, resident in Tokyo, AM 9: 00-PM 6:00”, which is related to the user attribute.
Therefore, in ST3, the data in the optimization information database 204 in Table 4 is referred to, and the corresponding condition (“20-30s, male, living in Tokyo”) matches the “domestic car” that is the type of advertisement B. Determine if there is a category. In this case, category 2 in which “male in his twenties” and “domestic car” in the optimization information database 204 intersect, and category 2 in which “resident in Tokyo” and “domestic car” intersect. That is, it becomes Yes in ST3 and proceeds to ST4.
In ST4, if it is registered in the advertisement information database 201 that there is a distribution request based on the user attribute of the advertisement B, the answer is Yes, and the process proceeds to ST5.
In ST5, the category 2 optimization rate of 15% is applied to the CPM value calculated in ST2. That is, the CPM value of the advertisement B is (¥ 100 × 115% × 115% = ¥ 132). Then, the process proceeds to ST6.

In ST6, since the target is not related to the action history, the answer is No, and the process proceeds to ST9.
In ST9, if it is registered that there is a distribution request based on the distribution date and time, the answer is Yes and the process proceeds to ST10.
In ST10, an optimization rate of 20% is applied to the CPM value calculated in ST5. That is, the CPM value of the advertisement A is (¥ 132 × 120% = ¥ 158). Then, the process proceeds to ST11.

In ST11, since there is no distribution request based on the posting position, the process proceeds to ST13.
In ST13, if it is registered in the advertisement information database 201 that there is a distribution request according to the contents of the posting page, the answer is Yes, and the process proceeds to ST14.
In ST14, the page being browsed by the user is an automobile-related page, and the business type of the advertisement B is “domestic car sales”, so the content of the posted page matches the business type of the advertisement B. Therefore, the optimization rate of 20% is applied to the CPM value calculated in ST10. That is, the CPM value of the advertisement A is (¥ 158 × 120% = ¥ 190).

In the case of the advertisement C, the target is “30-40s, investment history is present”.
In ST3, since the corresponding user attribute condition (“30-40s”) is not registered in the optimization information database 204 of Table 4, it cannot be targeted by the user attribute, so No, and the process proceeds to ST6.
In ST6, since the target is not related to the action history, the answer is No, and the process proceeds to ST9.

In ST9, since there is no distribution request based on the distribution date and time, the process proceeds to ST11.
In ST11, since there is no distribution request based on the posting position, the process proceeds to ST13.
In ST13, if it is registered in the advertisement information database 201 that there is a distribution request according to the contents of the posting page, the answer is Yes, and the process proceeds to ST14.
In ST14, since the page being browsed by the user is an automobile-related page and the business type of the advertisement C is “imported car sales”, the content of the posted page matches the business type of the advertisement C. Therefore, the optimization rate of 20% is applied to the CPM value calculated in ST2. That is, the CPM value of the advertisement A is (¥ 150 × 120% = ¥ 180).
As described above, the advertisement optimization processing unit 270 performs optimization under the above various conditions, and then proceeds to ST15.

In ST15, the converted CPM value of each advertisement is compared, and the advertisement having the highest CPM value is distributed. Here, the advertisement with the highest CPM value can obtain the highest advertisement effect.
Then, the process proceeds to ST16, where the result totaling unit 250 totals advertisement distribution, and registers the result of the totalization in the result log database 203. Then, the optimization condition analysis unit 260 performs optimization condition analysis based on the contents of the result log database 203, creates the optimization information database 204, and ends the advertisement optimization process.

As shown in FIG. 2, the advertisement distributed in ST15 is distributed from the advertisement banner distribution unit 220 to the web server 300, and a web page incorporating the advertisement banner is created by a page creation unit (not shown) of the web server 30, The data is transmitted from the page transmission unit 330 to the client terminal 400.
The client terminal 400 receives the web page on which the advertisement banner is displayed by the page receiving unit 420, and displays the web page by a terminal display unit (not shown).

When the user clicks on an advertisement banner on the web page using a terminal input unit (not shown) of the client terminal 400, the advertisement page request unit 430 requests the web server 300 for an advertisement page.
The web server 300 that has received the advertisement page request by the advertisement page request reception unit 350 requests an advertisement page from the advertisement page request unit 360 to the transfer unit 230 of the advertisement distribution server 200.
When receiving the advertisement page request, the transfer unit 230 transmits the advertisement page request to the advertiser-side terminal 100.

Upon receiving the advertisement page request, the advertiser side terminal 100 delivers the requested advertisement page to the client terminal 400.
The client terminal 400 receives the advertisement page by the advertisement page receiving unit 440 and displays a web page by a terminal display unit (not shown).
When purchasing, necessary items are input by a terminal input unit (not shown), and the purchase contents and the like are transmitted from the purchase procedure unit 450 of the client terminal 400 to the advertiser terminal 100.
When the advertiser-side terminal 100 receives data such as purchase details, the advertiser-side terminal 100 performs a calculation process of the purchase procedure, and the purchase procedure is completed.

  When the advertisement banner is distributed from the advertisement banner distribution unit 220, when an advertisement page is requested by the transfer unit 230, and when the purchase procedure is received by the advertiser terminal 100, the result totaling unit 250 counts each process. In addition, registration in the result log database 203 is performed. Then, the optimization condition analysis unit 260 performs optimization condition analysis and updates the optimization information database 204.

[Effects of Embodiment]
In embodiment mentioned above, there can exist the effect shown below.

In the present embodiment, when there is a page browsing request from the user, CPM values are calculated for all advertisements stored in the advertisement information database 201. As a result, it is possible to compare a plurality of advertisements with different accounting methods according to one standard called CPM.
Further, the optimization condition is analyzed based on the result log database 203 accumulated so far, and the analysis result is stored in the optimization information database 204. Then, the contents of the optimization information database 204 are compared with various conditions such as the attribute of the user who has requested to view the page, the action history, the delivery date and time, and the CPM value of each advertisement is optimized according to the various conditions. An advertisement with a high CPM value can be distributed.
That is, the user's interests and interests are predicted, and banner advertisements such as products that match the user's interests are distributed. Therefore, the user is likely to pay attention to the banner advertisements related to the products that the user is interested in and can easily purchase the products. Therefore, a high advertising effect can be obtained.

Further, by systematizing the method for distributing the optimal advertisement to the user in this way, even an advertiser who does not have marketing knowledge can distribute an advertisement having a high advertising effect to the user.
Therefore, even with a small advertisement budget, the number of advertisements delivered to the target user is increased by targeted advertisements, which is likely to lead to purchase. That is, the advertising effect is very high. In addition, when the advertiser submits an advertisement to the advertisement distribution server 200, it is not necessary to consider the advertising effect, the market, and the like, so the submission process can be completed easily.

  Furthermore, by performing such appropriate advertisement distribution, the advertisement distribution site does not need to have an excessive inventory of advertisements, and thus the cost of the advertisement distribution site can be reduced.

  In the above-described embodiment, when receiving a request for an advertisement banner, the user ID is received at the same time. Therefore, by comparing the user ID with the user ID stored in the user information database 202, a more detailed user can be obtained. Information can be obtained. Therefore, it is possible to select an advertisement that is optimal for the corresponding user, and to obtain a higher advertising effect.

In the above-described embodiment, the result totaling unit 250 counts every time an advertisement banner is distributed, every time an advertisement banner is clicked, and every purchase procedure is performed, and the result is reflected in the result log database 203. Accurate performance data is accumulated. Since the optimization condition is analyzed based on this accurate performance data, a more accurate optimization information database 204 is created.
Therefore, an optimal advertisement can be distributed by the user, and the advertising effect is very high.

[Modification]
In addition, this invention is not limited to embodiment mentioned above, In the range which can achieve the objective of this invention, the deformation | transformation shown below is also included, for example.

In the above-described embodiment, the contents of the various databases (the advertisement information database 201, the user information database 202, the performance log database 203, and the optimization information database 204) used in the advertisement distribution server 200 are not limited to those described above. The number of items may be increased or decreased as appropriate according to the conditions to be set.
For example, occupations, hobbies, and other items can be increased in the user information database 202. Thereby, the types of optimization conditions increase, the target users can be further narrowed down, and a higher advertising effect can be obtained.
Moreover, the category of the optimization information database 204 can be increased. This makes it possible to calculate the CPM value more precisely, but note the possibility of performance degradation due to increased processing.

In the above-described embodiment, the optimization is performed according to the conditions of the user attribute, the action history, the distribution date and time, the placement position, and the contents of the placement surface in the operation of the advertisement optimization process, but is not limited to these conditions.
For example, the above conditions may be reduced or increased. By increasing the conditions, more targeted advertisement distribution can be implemented. Therefore, for advertisers with a small advertising budget, it is possible to perform advertisement distribution with higher advertising effectiveness.

  In the embodiment described above, the advertisement information database 201 stores the presence / absence of the distribution request according to various conditions, and the step of confirming the presence / absence (ST4, ST7) is performed, but this step may not be performed. As a result, the processing speed can be increased.

  In the above-described embodiment, the user ID is received at the same time when the advertisement banner request is received. However, if the user is not registered, the advertisement distribution system of the present invention can be used even without the user ID. it can. Although there is no detailed user information, it is also possible to use an address as a condition from an access area or the like.

  The present invention can be used as an advertisement distribution device and an advertisement distribution method for providing advertisement distribution on a network.

The figure which shows the outline of a structure of the advertisement delivery system containing the advertisement delivery server concerning embodiment of this invention. The figure which shows the detail of a structure of the advertisement delivery system containing the advertisement delivery server concerning embodiment of this invention. The flowchart of the advertisement delivery method concerning embodiment of this invention. Schematic which shows the process of the optimization of the CPM value concerning embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Advertisement delivery system 20 Internet 100 Advertiser side terminal 200 Advertisement delivery server 201 Advertisement information database 202 User information database 203 Performance log database 204 Optimization information database 210 Advertisement banner request receiving part 220 Advertisement banner delivery part 230 Transfer part 240 Submission reception Unit 250 result totaling unit 260 optimization condition analysis unit 270 advertisement optimization processing unit 300 web server 400 client terminal 410 page request unit 420 page reception unit 430 advertisement page request unit 440 advertisement page reception unit 450 purchase procedure unit

Claims (11)

An advertisement distribution apparatus that provides advertisement display information to a web server that receives an advertisement from an advertiser side terminal connected via a network and distributes a plurality of web pages to a client terminal,
A request receiving unit for receiving an advertisement display request for requesting an advertisement display from the web server;
When there is an action for the advertisement, a result totaling unit that totals as a result for the advertisement;
Record the results and update the results log database each time the results are aggregated by the results totaling unit;
A user information database that records user information for each user , and
An advertisement information database that records the billing method , billing amount , and advertisement industry for the advertisement display for each advertisement;
Based on the results stored in the results log database , for each user information, in order to obtain an industry with high advertising effect in order, and set as a category, an optimization condition analysis unit,
And optimization information database for recording a plurality of categories for the user information, and the user information set by the optimization condition analysis unit,
An optimized value is calculated based on the data stored in the optimization information database to the billing amount recorded in the advertisement information database, and the submitted advertisement is calculated based on the optimum value. An ad optimization processor to select,
An advertisement display distribution unit that distributes the advertisement display information of the advertisement selected by the advertisement optimization processing unit to the web server ,
Each category recorded in the optimization information database has its own optimization rate.
The advertisement distribution device, wherein the advertisement optimization processing unit calculates an optimum value from the billing amount based on the optimization rate . The advertisement distribution device according to claim 1,
The advertisement optimization processing unit
The advertisement distribution apparatus, wherein the charge amount recorded in the advertisement information database is converted into an amount of a uniform charge method, and the optimum value is calculated from the converted amount based on the optimization rate . The advertisement distribution device according to claim 2,
The conversion to the amount of the uniform charging method is performed by uniformly converting the charging method as CPM (Cost per 1000). In the advertisement distribution device according to claim 2 or 3,
The advertising optimization processing unit, the user information recorded in the database the user information searching category to conditions from the optimization information database, based on said set optimized ratio to the category optimum An advertisement distribution device characterized by calculating a value . The advertisement distribution device according to any one of claims 2 to 4,
The advertisement optimization processing unit searches the optimization information database for a category based on information stored in the advertisement information database, and calculates the optimum value based on an optimization rate set for the category. An advertisement distribution apparatus characterized by the above. In the advertisement distribution device according to any one of claims 1 to 5,
The advertisement distribution apparatus according to claim 1, wherein the submitted advertisement is selected by selecting an advertisement having the highest optimum value. The advertisement distribution device according to any one of claims 1 to 6 ,
When the client terminal accesses the advertisement display, the client terminal receives an advertisement page request for requesting an advertisement page corresponding to the advertisement display from the web server, and transfers the advertisement page request to the advertiser side terminal. An advertisement distribution device comprising a section. The advertisement distribution device according to any one of claims 1 to 7 ,
The advertisement display apparatus, wherein the advertisement display is a banner advertisement. A client device that displays a website with multiple web pages;
A web server connected to the client terminal via a network and providing the website;
The advertisement distribution apparatus according to any one of claims 1 to 8 , wherein an advertisement display is provided to the web server.
An advertisement distribution system comprising: an advertiser-side terminal connected to the advertisement distribution device via a network and submitting an advertisement to the advertisement distribution device. A client terminal on which a website having a plurality of web pages is displayed; a web server connected to the client terminal via a network and providing the website on which an advertisement is displayed; and a user who accesses the website or An advertisement distribution device that performs optimization processing on each advertisement according to the conditions of each advertisement and distributes the advertisement display information of the optimal advertisement to the web server, and the advertiser side that submits the advertisement to this advertisement distribution device An advertisement distribution method implemented in an advertisement distribution system comprising a terminal,
The advertisement distribution device includes:
A user information database that records user information for each user , and
A billing method for the advertisement display, a billing amount, and an advertisement information database that records the type of advertisement for each advertisement, and
The advertisement distribution apparatus, as the optimization process ,
When there is an action for the advertisement, a result totaling step for totaling as a result for the advertisement;
Based on the results, for each user information to obtain a high advertisement effect industries in order, the best Kakai analysis processing step of setting as a category,
An optimization processing step of calculating an optimal value from the billing amount of the advertisement based on the optimization rate set for each of the categories set by the optimization analysis processing step ;
An advertisement distribution selection processing step of selecting an advertisement to be distributed to the web server based on the optimum value . The advertisement distribution method according to claim 10 ,
Before the optimization processing step, a conversion processing step of converting the billing amount of the advertisement into the amount of a uniform billing method is performed.

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