JP6494475B2 - Advertisement distribution apparatus and advertisement distribution method - Google Patents

Description

  The present invention relates to an advertisement distribution device and an advertisement distribution method for distributing advertisements.

Conventionally, for example, commercial messages (CMs) that advertise products and services within a predetermined time frame of broadcast programs (broadcast contents) such as television (hereinafter simply referred to as TV) and radio, and the Internet There is known a technique for fusing an advertisement distributed to a user via the Internet (for example, see Patent Document 1).
In the technology described in Patent Document 1, the advertisement transmission device includes an advertisement information DB that associates CM contents and CM information related to a broadcast time, and an advertisement condition DB that stores advertisement data and its transmission conditions. Yes. Then, the advertisement transmission apparatus distributes the advertisement data to the user terminal when the broadcast time of the CM information matches the transmission condition. For example, the advertisement data is distributed using the Internet between 30 seconds and 15 minutes after the end of the CM. Also, the number of advertisement arrivals is calculated based on the audience rating of the broadcast program obtained by the audience rating survey, and the distribution control of advertisement data using the Internet is performed based on the number of advertisement arrivals and the number of recognitions. For example, if the number of ad arrivals is small, a pop-up window is used to distribute the ad data so that the number of recognitions is reached, and if the number of ad arrivals is large and the number of ad arrivals is close to reaching, For example, when the advertisement is displayed and the number of times the advertisement is reached and the number of times of recognition is reached, advertisement distribution using the Internet is not performed.

WO2008 / 081595

By the way, when a CM is broadcast within a predetermined time frame (CM broadcast frame) in a broadcast program, an advertiser purchases a CM broadcast frame of a specific broadcast program from an agent in advance. Generally, the purchase price of a CM broadcast frame is determined by the expected audience rating of a broadcast program. Therefore, the advertiser predicts the expected audience rating of the broadcast program and the attributes (for example, gender, age group, region, hobby, etc.) of the viewer who will view the broadcast program and wants to appeal the advertising target. A target audience rating of the audience is set, and a CM broadcast frame of a broadcast program corresponding to the target audience rating is purchased.
Here, in Patent Document 1 described above, advertisements are distributed according to the actual audience rating, but advertisements are not distributed according to the target audience rating. Therefore, even if the target audience rating set by the advertiser has not been reached, advertisement distribution via the Internet may be restricted, and advertisement distribution according to the advertiser's request will not be performed, and the advertisement effect will be sufficient I can't get it.

  An object of the present invention is to provide an advertisement distribution apparatus and an advertisement distribution method capable of performing advertisement distribution with a high advertisement effect.

The advertisement distribution apparatus according to the present invention acquires a viewing rate acquisition unit that acquires a viewing rate of viewing content in which a first advertisement that can be viewed in a preset time frame is incorporated, and acquires a target viewing rate of the viewing content. A target audience rating acquisition means; a second advertisement acquisition means for acquiring a second advertisement related to the advertising target of the first advertisement; and the second advertisement is distributed to a user terminal via the Internet; and An advertisement distribution unit that changes a distribution amount of the second advertisement based on a difference value with a target audience rating, and the advertisement distribution unit is based on the number of people who can view the viewing content and the difference value. Then, the number of the user terminals to be distributed of the second advertisement is determined .

  In the present invention, the target audience rating is acquired by the target audience rating acquisition means, and the distribution amount of the second advertisement delivered to the user terminal is changed based on the difference value between the target audience rating and the actual audience rating of the viewing content. Let For this reason, the second advertisement can be distributed based on the target audience rating desired by the advertiser, and the highly effective advertisement distribution process can be performed.

The system block diagram which shows schematic structure of the advertisement delivery system of 1st embodiment. The block diagram which shows schematic structure of the delivery server of this embodiment. The figure which shows an example of the recognition rate data memorize | stored in a server memory | storage part. The block diagram which shows schematic structure of the agency terminal of this embodiment. The block diagram which shows schematic structure of the user terminal of this embodiment. The flowchart which shows the advertisement delivery process of this embodiment. The flowchart which shows the delivery condition setting process of this embodiment.

[First embodiment]
Hereinafter, a first embodiment according to the present invention will be described with reference to the drawings.
FIG. 1 is a system configuration diagram illustrating a schematic configuration of an advertisement distribution system according to the present embodiment.
As shown in FIG. 1, the advertisement distribution system 1 of the present embodiment includes a distribution server 10, an agency terminal 20, a user terminal 30, an audience rating survey server 40, and the like that are advertisement distribution apparatuses of the present invention. Each device is connected so that it can communicate via a network such as the Internet.
In this advertisement distribution system 1, when a sufficient advertisement effect is not obtained by CM in the broadcast time frame of a broadcast program broadcast from a television broadcast station, an advertisement is distributed by distributing a net advertisement to the user via the Internet. It is a system that compensates. Here, the broadcast program broadcast from the television broadcasting station corresponds to the viewing content in the present invention, the CM corresponds to the first advertisement in the present invention, and the net advertisement corresponds to the second advertisement in the present invention.

The outline of the advertisement distribution system 1 of the present embodiment will be described more specifically. An advertising agency that manages the agency terminal 20 uses a CM time frame incorporated in a broadcast time frame of a broadcast program of a television broadcast as an advertiser. To sell. At this time, the price of the CM time frame is set according to the expected audience rating of the broadcast program in which the CM time frame is incorporated. However, when the actual audience rating is lower than the expected audience rating, the advertiser cannot obtain a sufficient advertising effect for the investment in the CM time frame, and the purchase price becomes an excessive investment. In this embodiment, in such a case, the advertisement is compensated by the net advertisement. For this purpose, the advertising agency reserves the advertising space of the net advertisement in advance from the administrator of the distribution server that distributes the net advertisement, and compensates the advertiser with the advertisement by the net advertisement as an optional service, for example. Sell. At this time, the advertising agency acquires advertisement data of the net advertisement distributed via the Internet and the target audience rating of the broadcast program from the advertiser, and registers these data in the distribution server 10. Then, after the broadcast program is broadcast, the distribution server 10 distributes the net advertisement to the user terminal 30 via the network when the actual audience rating of the broadcast program is lower than the target audience rating.
Hereinafter, the specific structure of each structure in the above advertisement delivery systems 1 is demonstrated.

[Configuration of distribution server]
FIG. 2 is a block diagram illustrating a schematic configuration of the distribution server 10.
The distribution server 10 is configured by a computer and functions as an advertisement distribution apparatus of the present invention. The distribution server 10 includes a server communication unit 11, a server storage unit 12, a server control unit 13, and the like.
The server communication unit 11 is connected to a network via, for example, a LAN and communicates with the agency terminal 20, the user terminal 30, the audience rating survey server 40, and the like.

The server storage unit 12 is a data recording device configured with, for example, a memory, a hard disk, and the like. The server storage unit 12 includes a program database (program DB 121), an advertisement database (advertisement DB 122), an area database (area DB 123), a user database (user DB 124), recognition rate data 125, and distribution condition data 126. ing.
As shown in Table 1, the program DB 121 is a database that stores a plurality of program data including a program ID, a program name, a broadcast time frame, and an audience rating.

The program ID is identification data for specifying a broadcast program (program data).
The program name is the name of the broadcast program.
The number of commercials is the number of broadcasts of a CM incorporated in the time frame of the broadcast program within the time frame. Here, it is the number of broadcasts of all CMs incorporated in the broadcast program, and the number of each CM varies depending on, for example, the billing rate of each advertising agency or each advertiser who purchased the CM frame of the broadcast program.
The advertisement target is data related to the advertisement target of the CM broadcast in the CM frame in the broadcast program. As this advertising target, for example, a product, a service, or the like may be recorded, and as shown in Table 1, an advertising ID (identification data) corresponding to the advertising target may be recorded. In the case of using an advertisement ID, it is preferable to record an advertisement ID used for advertisement data (see Table 2) described later. Further, as described above, since a plurality of CMs are incorporated into one broadcast program, the broadcast ratio of these CMs may be recorded.
The audience rating is actual audience rating data acquired from the audience rating survey server 40 after the broadcast of the broadcast program ends. As the audience rating, a nationwide audience rating, an audience rating in each area, an audience rating for each user attribute in the area, and the like are recorded. Here, the audience rating for the area may be, for example, the audience rating for each region such as the Kanto region or the Kinki region, the audience rating for each prefecture, or the audience rating for each municipality. Viewer attributes include, for example, the gender and age group of the viewer. As shown in Table 1, the audience rating may be for each age group of each gender. Table 1 shows the audience rating for each viewer attribute in each area. For example, the audience rating of each viewer attribute in the national ward is also recorded. In addition, as the audience rating, for example, an audience rating according to a viewer's interest category or the like may be recorded. For example, the audience rating of a viewer who is interested in a car may be recorded.

  The advertisement DB 122 stores a plurality of advertisement data related to the net advertisement distributed to the user terminal 30. As shown in Table 2, the advertisement data includes an advertisement ID, a target program, a net advertisement, an advertisement target category, a target audience rating, and the like.

The advertisement ID is identification data for specifying advertisement data. The advertisement ID is data individually assigned to an advertisement target (for example, a product or service to be advertised) corresponding to the advertisement data, in other words, identification data for specifying the advertisement target.
The target program is data for specifying a broadcast program in which a CM corresponding to the advertisement target indicated by the advertisement ID is incorporated. For example, the program ID of the corresponding program data is recorded.
The net advertisement is a content of the net advertisement transmitted to the user terminal 30 and records, for example, a banner image to be displayed as a banner advertisement, a moving image to be displayed as a moving image advertisement, and the like. Alternatively, address information (for example, URL) indicating the position of the content of the net advertisement may be recorded.
The advertisement target category indicates the category of the product or service to be advertised.

The target audience rating is a target value of the audience rating of the broadcast program desired by the advertiser for the advertising target. In this embodiment, based on the difference value between the target audience rating and the actual audience rating, the presence / absence of internet advertisement delivery, the number of delivery users of internet advertisement delivery, and the like are calculated.
This target audience rating may be set for each area and for each viewer attribute (gender, age group, etc.) as in the actual audience rating data in the program data. That is, a target audience rating is set for each attribute related to the target layer of the advertising target.
For example, in the example of Table 2, the advertisement ID “C123” is targeted to have a national audience rating of 20%. In addition, the advertisement ID “C124” has a goal that the female audience rating is 15% with respect to the area 2. Even if the audience rating of other areas, the male audience rating, etc. do not reach the target. It is good. The target audience rating is not limited to this, and a target audience rating based on the user's interest category or the like may be set as shown in the advertisement ID “C125”, for example.
In the above example, the example in which the target audience rating for each target layer is recorded is shown, but the present invention is not limited to this. The target audience rating data and the target layer attribute data may be separate data. For example, in the advertisement ID “C124” in Table 2, the target audience rating may be recorded as “15%”, and “female” may be recorded as an attribute of the target audience separately from the target audience rating.

The area DB 123 records each area and the population for the area. That is, the server storage unit 12 having the area DB 123 functions as an area population storage unit in the present invention.
As described above, this area may be, for example, a prefecture unit, a municipal unit, or another local unit. All of these (prefectural unit, municipal unit, Population for other local units may be recorded. In the present embodiment, the population for the area is recorded, but, for example, the number of households having a television and the average number of households for the area may be recorded.

  The user DB 124 is a database that stores a plurality of user data related to users who are distribution destinations of net advertisements. The user data includes, for example, a user ID, user attribute data, action history, position data, terminal data, and the like. That is, the server storage unit 12 having the user DB 124 functions as user data storage means in the present invention.

The user ID is identification data for specifying a user.
The user attribute data is data relating to the user's attributes, and for example, the status of the user himself / herself such as gender, age, normal whereabouts such as home and work, and occupation is recorded.
The action history is a user's action history in a predetermined period (for example, the most recent month). The action history is data that can be acquired when the user operates the user terminal 30 or the like and logs into the distribution server 10.
For example, when a user operation is performed, the user terminal 30 stores the operation history (operation contents and operation date / time) as an action history and transmits the action history to the distribution server 10. As such an action history, for example, a keyword history of a query of a search process performed by the user terminal 30 can be cited.
In addition, a program table (viewing content time table in the present invention) showing broadcast time frames (time data) of a plurality of broadcast programs is displayed on the user terminal 30, and a predetermined broadcast program in the program table is displayed by a user operation. When selected, the user terminal 30 stores an operation history indicating that the broadcast program has been selected as an action history together with the operation date and time. In addition, in a video site or the like, a history such as a video that introduces a broadcast program (for example, PV (Promotion Video)) has been played a predetermined number of times may be included.
The distribution server 10 acquires such behavior history and stores it in user data.

Further, the behavior history is not limited to the past behavior history on the Internet. For example, user behavior prediction data may be acquired from the user's schedule data.
Furthermore, a user's current action can be acquired from a program or the like activated on the user terminal 30 and transmitted to the distribution server 10 as an action history. For example, when a program for viewing a broadcast program is activated on the user terminal 30, the broadcast program is transmitted to the distribution server 10 as a viewing program.
Furthermore, when a program using the user terminal 30 as a television remote controller is activated, a viewing program is specified from the operation history and transmitted to the distribution server 10.

In addition, although the example which transmitted the action log | history from the user terminal 30 was shown above, it is not limited to this. For example, the distribution server 10 in this embodiment functions as a device that provides a so-called portal website, and includes various services such as a search engine. Therefore, when the user logs in using the user ID from the user terminal 30 or the like and performs a search process using a search engine, for example, the distribution server 10 acquires a keyword included in the query of the search process. You can also. The distribution server 10 accumulates such keywords in the user data as an action history. In this case, it is possible to acquire not only a user's action history at a specific user terminal 30 but also a user's action history at a terminal installed in an Internet cafe, for example.
Even when the user logs in to another service server with a predetermined identification ID, the identification ID used in the service server at the login destination and the user ID in the distribution server 10 are stored in association with each other. It becomes possible to specify the user. In this case, what is necessary is just to acquire a user's action history from another service server.

  Further, the distribution server 10 makes it possible to browse a program table (viewing content time table in the present invention) showing broadcast time frames of a plurality of broadcast programs on the Internet, and to select a predetermined broadcast program in the program table. The program introduction content for displaying the detailed explanation of the broadcast program may be provided. In this case, when the distribution server 10 receives an operation signal for selecting a predetermined broadcast program in the program guide when the user logs in to the distribution server 10 from the user terminal 30 or the like using the user ID, Is stored in the user data as an action history. In addition, although the distribution server 10 showed the example which has a program introduction content, also in operation with respect to the program introduction content published by another service server, what is necessary is just to acquire operation history from another service server.

  The position data included in the user data is, for example, the position of the user terminal 30 acquired by the user terminal 30 operated by the user. The position data may be data detected by a position detection sensor such as a GPS device, or may be data detected based on a wireless LAN connection access point or the like. Such position data is recorded in the user terminal 30 together with the date and time when the position data is acquired.

  The terminal data is data for specifying the user terminal 30 that distributes the net advertisement. For example, when the user logs in to the distribution server 10 using the user ID, the IP address of the user terminal 30 or the MAC An address etc. can be illustrated. In addition, a configuration in which a user's e-mail address, address data of a specific application, and the like are recorded may be used.

FIG. 3 is a diagram illustrating an example of the recognition rate data 125 stored in the server storage unit 12.
As shown in FIG. 3, the recognition rate data is data indicating the relationship between the frequency and the recognition rate. This recognition rate data is calculated by, for example, being aggregated and calculated by a questionnaire survey after the end of the broadcast program, for example, the content, category, and advertisement (TV CM or online advertisement) of the product or service that is the advertisement target. Depends on etc. Generally, the recognition rate data (recognition rate curve) in the same category has a similar shape. In the present embodiment, the recognition rate data for the category for each advertisement target is stored in the server storage unit 12. Note that the recognition rate curve A for CM (TV advertisement) corresponds to the first recognition rate data in the present invention, and the recognition rate curve B for the net video advertisement and the recognition rate curve C for the net banner advertisement are the second in the present invention. Corresponds to recognition rate data. That is, the server storage unit 12 functions as a first recognition rate storage unit and a second recognition rate storage unit of the present invention.
Here, the frequency is the number of times of contact with an advertisement per person, for example, the number of times of CM broadcast in a broadcast program.
As shown in FIG. 3, the advertisement recognition rate varies depending on the distribution form of the distributed advertisement. For example, a CM incorporated in a television broadcast program can obtain a high recognition rate with a low frequency. In the net advertisement, the recognition rate of the internet video advertisement using the moving image is high. In the internet banner advertisement using the banner image, the recognition rate cannot be increased unless the frequency is increased. For example, in the example of FIG. 3, when the frequency of CM (TV advertisement) for a certain advertisement target is 5 times, the recognition rate is 22%. For the frequency of 10 times and the net banner advertisement, the frequency of 25 times is required.

  The distribution condition data 126 is data related to the conditions of the distribution destination user who distributes the net advertisement. As shown in Table 3, the advertisement ID, determination value, number of distribution users, distribution target user, distribution frequency, distribution completion flag, etc. including. This distribution condition data is generated by the advertisement distribution means 134 described later and stored in the server storage unit 12.

The advertisement ID corresponds to the advertisement ID of the advertisement data, and is identification data indicating an advertisement target for which distribution of the net advertisement is determined.
The determination value is a difference value obtained by subtracting the actual audience rating from the target audience rating.
The number of distribution users includes conditions (attributes and areas) of the target layer of advertisement distribution and the number of users.
The distribution target user records the ID (user ID) of the user selected as the distribution target.
The distribution frequency indicates the number of distributions of net advertisements per person.
The distribution completion flag is flag data indicating whether or not the distribution of the net advertisement has been completed for the distribution target user.

  The server control unit 13 includes an arithmetic circuit such as a CPU and a storage circuit such as a RAM. The server control unit 13 expands a program (software) stored in the server storage unit 12 or the like in the RAM, and cooperates with the program expanded in the RAM. Various processes are executed by operation. And the server control part 13 functions as the audience rating acquisition means 131, the advertisement data acquisition means 132, the user data acquisition means 133, and the advertisement distribution means 134, as shown in FIG. .

The audience rating acquisition unit 131 acquires the actual audience rating of the broadcast program from the audience rating survey server 40.
The advertisement data acquisition unit 132 functions as a target audience rating acquisition unit, a second advertisement acquisition unit, and a target attribute acquisition unit in the present invention. The advertisement data acquisition unit 132 acquires program data and various data related to advertisement data from the agency terminal 20. That is, the advertisement data acquisition unit 132 sends an advertisement-targeted net advertisement (content such as a banner image or video, or an address (URL or the like indicating the storage location of these advertisements)), an advertisement-target category, an advertisement from the agency terminal 20. The broadcast program in which the target CM is incorporated, the number of CM broadcasts in the broadcast program, the target audience rating, and the target layer of the advertisement target are acquired.

  The user data acquisition unit 133 also functions as a user attribute acquisition unit and a position data acquisition unit of the present invention, and acquires various data relating to user data from the user terminal 30. That is, the user data acquisition unit 133 is configured to acquire user attributes including the user's gender, age, whereabouts, and work position from the user terminal 30, an action history including the operation history of the user terminal 30, and the like when the user logs in. Terminal data for identifying the user terminal, the position of the user terminal, and the like are acquired. Note that the user data acquisition unit 133 acquires the user's action history based on a command transmitted to the distribution server 10 when the user logs in to the distribution server 10.

The advertisement distribution unit 134 transmits a net advertisement to the user terminal 30. As shown in FIG. 2, the advertisement distribution means 134 includes determination value calculation means 134A, distribution user number calculation means 134B, program viewing determination means 134C, distribution user selection means 134D, distribution frequency setting means 134E, and distribution control means 134F. Function.
The determination value calculation unit 134A calculates a difference value between the actual audience rating and the target audience rating as a determination value.
The distribution user number calculating means 134B calculates the number of users (user terminals 30) distributing the net advertisement (the number of distribution users) based on the determination value.
The program viewing determination unit 134C is a content viewing determination unit of the present invention, and determines whether or not a broadcast program in which a CM corresponding to a net advertisement distributed by a user is viewed has been viewed.
The distribution user selection unit 134D selects a user who distributes the net advertisement.
The distribution frequency setting unit 134E sets the number of distributions of the net advertisement for the selected user.
The distribution control unit 134F distributes the net advertisement to the user terminal 30 corresponding to the selected user with the set number of distributions.
Note that the detailed processing of the server control unit 13 will be described later.

[Outline of advertising agency terminal]
FIG. 4 is a block diagram illustrating a schematic configuration of the agency terminal 20.
The agency terminal 20 is configured by a computer, and includes a store side communication unit 21, a store side storage unit 22, a store side control unit 23, and the like.
The store side communication part 21 communicates with the delivery server 10 etc. via a network.

  The store-side storage unit 22 is a data recording device configured with, for example, a memory, a hard disk, and the like. The store-side storage unit 22 stores, for example, a broadcast program of each broadcast station, a time frame of the broadcast program, a CM time frame within the time frame, the number of broadcasts of CMs that can be broadcast in the broadcast program, CM basic data storing the expected audience rating of the program is stored. This CM basic data is information of a broadcast program having a CM time frame that an advertising agency can provide to an advertiser, and is provided from each broadcasting station, for example.

  Further, the store-side storage unit 22 stores data related to the advertising space of the net advertisement that can be distributed by the distribution server 10. This data is data relating to an advertising space that can be distributed through a net advertisement, and stores, for example, an uncontracted advertising space that is not contracted with an advertiser. As this non-contracted advertising space, for example, an available frequency is recorded. In the net advertisement space data, the maximum frequency (or the maximum target audience rate that can be set by the advertiser) that can be used for one advertisement in the net advertisement is further recorded. That is, the advertiser cannot set a target audience rating that exceeds this maximum target audience rating. Thereby, for example, even when the audience rating in a broadcast program is extremely bad, it is possible to achieve a recognition rate corresponding to the target audience rating by compensation by means of net advertisement.

Further, the store-side storage unit 22 stores program data related to a broadcast program having a CM time frame provided to the advertiser. This program data can have the same data structure as each program data of the program DB 121 shown in Table 1.
In addition, the store-side storage unit 22 stores advertisement data related to compensation by the net advertisement provided to the advertiser. This advertisement data can have the same data structure as the advertisement data shown in Table 2.

  The store-side control unit 23 includes an arithmetic circuit such as a CPU and a storage circuit such as a RAM. The store-side control unit 23 expands a program (software) stored in the store-side storage unit 22 in the RAM, and the program expanded in the RAM. Various processes are executed in cooperation. And the shop side control part 23 functions as the advertising space securing means 231, the data acquisition means 232, and the data provision means 233 as shown in FIG. 4 by performing the said various processes.

  The advertising space securing means 231 communicates with, for example, a broadcasting station or the distribution server 10 through a network, generates contract data for a CM time frame of a broadcast program capable of incorporating a CM, and performs settlement processing. Generates contract data for advertising space and performs settlement processing. As the settlement process, for example, a general electronic commerce process can be used.

The data acquisition unit 232 acquires the advertisement target net advertisement, the advertisement target category, the target audience rating, the target layer of the advertisement target, and the like from the advertiser. These data may be input, for example, by operating the input means, for example, by the administrator of the agency terminal 20, and is transmitted from the advertiser terminal 50 held by the advertiser as shown in FIG. Data may be acquired.
The data providing means 233 is a program data related to a broadcast program having a CM broadcast frame acquired by the advertiser, and the advertisement target net advertisement, the advertisement target category, the target audience rating, and the target layer of the advertisement target provided by the advertiser. Is provided to the distribution server 10.

[User terminal configuration]
FIG. 5 is a block diagram illustrating a schematic configuration of the user terminal 30.
The user terminal 30 is configured by a computer such as a personal computer, a smartphone, or a tablet terminal, for example, and includes a user side communication unit 31, a user side storage unit 32, a position acquisition unit 33, a user side control unit 34, and an input. An operation unit 35, a display unit 36, and the like are included.
The user side communication unit 31 communicates with the distribution server 10 and the like via a network.

The user-side storage unit 32 is a data recording device configured with, for example, a memory, a hard disk, and the like. For example, user data (user ID, user attribute data, action history, etc.) is stored in the user-side storage unit 32.
The position acquisition unit 33 acquires the current position of the user terminal 30 based on, for example, a position signal output from a GPS device or a wireless LAN access point. The acquired current position is stored in the user-side storage unit 32.

  The user-side control unit 34 includes an arithmetic circuit such as a CPU and a storage circuit such as a RAM. The user-side control unit 34 develops a program (software) stored in the user-side storage unit 32 in the RAM, and the program expanded in the RAM. Various processes are executed in cooperation. And the user side control part 34 functions as the action history acquisition means 341, the user data transmission means 342, etc. by performing the said various processes.

  The action history acquisition unit 341 stores the history of each operation performed on the user terminal 30 in the user side storage unit 32. As described above, the history of each operation includes the history of keywords used in the query of the search process, the operation history when the broadcast program is selected in the program guide displayed on the display unit 36, and the like. In addition, a history of various operations input by the operation of the input operation unit 35, an operation history of an application for displaying and editing a user's schedule, and the like may be included.

  The user data transmission unit 342 transmits the user data stored in the user-side storage unit 32 and the position data acquired by the position acquisition unit 33 together with terminal data for specifying the user terminal 30 to the distribution server 10. .

[Outline of audience rating survey server]
The audience rating survey server 40 is configured by a computer, and publishes the survey results of the actual audience ratings of each broadcast program on the Internet.
Normally, the audience rating survey server 40 makes it possible to view the results of the audience ratings of all broadcast programs on the Internet at a predetermined time on the day after the broadcast program was broadcast. Since the viewing results of each broadcast program are counted within a predetermined time (for example, one hour) after the broadcast of the broadcast program ends, the distribution server 10 uses the total audience rating results after each broadcast program broadcasts. May be sent to.

[Advertising distribution processing by advertisement distribution system]
Next, an advertisement distribution process (advertisement distribution method) by the distribution server 10 in the advertisement distribution system 1 as described above will be described.
FIG. 6 is a flowchart showing the advertisement distribution process of the present embodiment.
In the advertisement distribution process in the advertisement distribution system 1 of the present embodiment, the advertisement data acquisition unit 132 of the distribution server 10 first acquires advertisement data for updating the program DB 121 and the advertisement DB 122 from the agency terminal 20 (steps). S1; second advertisement acquisition step and target audience rating acquisition step).
That is, the advertisement data acquisition unit 132 receives program data relating to a broadcast program in which the advertising target net advertisement, the advertising target category, the target audience rating, the advertising target layer, and the advertising target CM are incorporated from the agency terminal 20. To get. Then, the advertisement data acquisition unit 132 updates the program DB 121 and the advertisement DB 122 based on the acquired various data.

Moreover, the user data acquisition means 133 acquires the user data transmitted from the user terminal 30, for example periodically (step S2). That is, a user ID for identifying a user, user attribute data, action history, position data, terminal data, and the like are acquired. Then, the user data stored in the user DB 124 is compared. If the data is different, the user data is updated with the acquired data. If the user ID does not exist in the user DB 124, user data is newly generated.
As described above, the user data acquisition unit 133 acquires not only the action history transmitted from the specific user terminal 30 but also the action history when accessing the distribution server 10 via the network by the user ID. Also good.

Also, the audience rating acquisition means 131 of the distribution server 10 monitors the actual audience rating of each broadcast program released by the audience rating survey server 40 (step S3), and whether there is a broadcast program whose audience rating is disclosed. It is determined whether or not (step S4).
As described above, the audience rating released by the audience rating survey server 40 is, for example, published at a predetermined time on the next day after the broadcast program is broadcast. The audience rating disclosed by the audience rating survey server 40 may be read.
In addition, although the example which implements the process of step S1 and step S2 before the audience rating acquisition process of step S3 or step S4 was shown in FIG. 6, it is not limited to this. The processing in step S1 and step S2 can be performed by interruption processing when data is transmitted from the agency terminal 20 or the user terminal 30, and the contents of the program DB 121, the advertisement DB 122, and the user DB 124 are as follows. , Always up to date.

If it is determined as Yes in step S4, the audience rating acquisition unit 131 identifies the broadcast program whose audience rating has been disclosed, acquires the audience rating, and records the audience rating in the program data of the corresponding program DB 121. (Step S5; audience rating acquisition step).
When it is determined No in step S4 (no new audience rating data) and after the process of step S5 (after the program DB 121 is updated with the new audience rating data), the advertisement distribution unit 134 A distribution condition setting process for determining an advertisement distribution condition is performed (step S6).

FIG. 7 is a flowchart showing the distribution condition setting process.
In the distribution condition setting process in step S6, first, the determination value calculation unit 134A extracts program data in which the actual audience rating is stored from the program DB 121 (step S11). Further, the determination value calculating unit 134A extracts advertisement data having the advertisement ID recorded in the advertisement target of the program data extracted in step S11 from the advertisement DB 122 (step S12).
Thereafter, the determination value calculation unit 134A acquires, as a determination value, a difference value obtained by subtracting the actual audience rating recorded in the program data from the target audience rating recorded in the advertisement data (step S13).
At this time, when the attribute of the target layer to be advertised is recorded with respect to the target audience rating, the determination value is obtained by subtracting the actual audience rating in the target layer from the target audience rating for the target audience. If the judgment value is positive, it means that the actual audience rating of the broadcast program is less than the target audience rating. If it is negative, the actual audience rating of the broadcast program exceeds the target audience rating. Means.

Thereafter, the advertisement distribution unit 134 determines whether or not the determination value is a negative value, that is, the target audience rating is achieved in all of the advertisement targets extracted in Step S11 (Step S14).
If it is determined as Yes in step S14, the processing is terminated because there is no advertisement that needs to be compensated by the net advertisement (the distribution condition data is empty data).
On the other hand, when it determines with No in step S14, the advertisement delivery means 134 specifies the advertising object from which a judgment value becomes a positive value, and produces | generates delivery condition data (step S15). That is, the advertisement ID and the determination value are registered in the distribution condition data.

  Thereafter, based on the area DB 123 and the determination value, the distribution user number calculating unit 134B calculates the number of user terminals 30 to be distributed in the net advertisement, that is, the number of distribution users by multiplying the determination value and the area population. (Step S16). When the attribute of the advertisement target layer is designated, the population of the target layer is multiplied by the determination value. For example, when the attribute of the target layer is the Kanto region and women, the total population of women in the Kanto region is multiplied by the determination value.

After this, the distribution destination user selection process by the program viewing determination unit 134C and the distribution user selection unit 134D is performed. For this, first, the distribution user selection unit 134D determines whether or not the attribute of the advertisement target layer is designated (step S17). In other words, it is determined whether the target audience rating for the target audience is recorded as the target audience rating in the advertisement data, or whether there is data for specifying the attributes of the target audience separately from the target audience rating. To do.
If it is determined Yes in step S17 and the attribute of the target layer is specified, the distribution user selection unit 134D extracts user data having the attribute of the target layer from the user DB 124 (step S18).

If it is determined No in step S17, the processes from step S19 to step S24 are performed for all registered users, and after step S18, for each user extracted in step S18. carry out.
Specifically, the program viewing determination unit 134C determines whether each user has viewed a broadcast program in which a CM to be advertised is incorporated based on the action history of the user data (step S19).
Here, the program viewing determination unit 134C determines whether or not the target broadcast program has been viewed in the broadcast time frame by, for example, an application for viewing one-segment broadcasting as the action history of the user data. Also, an application that uses the user terminal 30 as a remote controller is activated, and it is determined whether or not an operation history that matches the broadcast channel of the target broadcast program is recorded.
Also, the viewing history of the user's broadcast program may be acquired from the television device itself that views the television program. In this case, it is possible to determine whether or not the user has watched the target broadcast program by registering the user ID in the television apparatus and transmitting the viewing history and the user ID to the distribution server 10. Become.
If it is unclear whether or not the broadcast program has been viewed, it is determined No in this step S19.

  In step S19, the user who is determined to be Yes, that is, the user who has watched the broadcast program in which the CM to be advertised is incorporated is excluded from the distribution target (step S20). As a result, in addition to viewing a broadcast program in which a CM targeted for advertisement is installed, the advertisement-targeted net advertisement is excessively distributed to the user and is instead targeted to other users who are not viewing the CM. The inconvenience that no online advertisement is distributed can be suppressed.

On the other hand, for the user determined No in step S19, the program viewing determination unit 134C determines whether or not the position data of the user data has changed in the time zone when the broadcast program was broadcast (step S21). .
That is, when there is a change in the position data, it is determined that the user is moving and not watching the broadcast program, and when there is no change in the position data, the user is staying at a specific position. Or it determines with position data not being acquired.
When it is determined Yes in step S21, the program viewing determination unit 134C can determine that the target broadcast program is not viewed as described above, and thus selects the user as a distribution target user candidate (step S21). S22).

  For the user determined to be No in step S21, the program viewing determination unit 134C further determines whether the position data matches the normal residence such as the user's home or work recorded in the user data. Is determined (step S23). If it is determined No in step S23, it is determined that there is a high possibility that the user is out and is not viewing the broadcast program. In this case, the program viewing determination unit 134C proceeds to the process of step S22, that is, selects the user as a user candidate to be distributed.

On the other hand, for the user determined to be Yes in step S23, the program viewing determination means 134C further includes an action history related to the broadcast program in which the CM to be advertised is included in the action history of the user data. It is determined whether or not (step S24). That is, a search process for a keyword related to a broadcast program such as a broadcast program name is performed in the action history data, or an operation for selecting the broadcast program is performed in the program table, or a video site Or the like, it is determined whether or not there is a history of playing a video introducing a broadcast program (for example, PV (Promotion Video)) a predetermined number of times.
If it is determined Yes in step S24, it is determined that the user is interested in the broadcast program and the user's position is a normal residence, so that the possibility of watching the broadcast program is high. To do. In this case, the program viewing determination unit 134C excludes the user from the distribution target by the process of step S24.
On the other hand, when it is determined No in step S24, it is determined that there is a possibility that the user is not interested in the broadcast program and that the user is not watching the broadcast program. In this case, the process proceeds to step S22, that is, the user is selected as a user candidate to be distributed.

Thereafter, the distribution user selection unit 134D determines a distribution target user from among the users that are candidates for distribution by the process of step S22 (step S25).
Here, when the number of users determined as candidates in step S22 is equal to or greater than the number of distribution users calculated in step S16, the distribution user selection unit 134D determines that the distribution user is selected from the users determined as candidates in step S22. Only a few minutes, for example, are selected at random and set as users to be distributed. If the number of users determined as candidates in step S22 is smaller than the number of distribution users, a shortage of users is randomly selected from the users excluded from distribution targets in step S20. At this time, the user determined as Yes in Step S24 is less likely to have watched the broadcast program than the user determined as Yes in Step S19, and therefore the user determined as Yes in Step S24. From the above, a shortage of users may be selected.
Then, the distribution user selection unit 134D records the user ID of the distribution target user in the distribution condition data.

Thereafter, the distribution frequency setting means 134E sets the distribution frequency of the net advertisement (step S26).
In step S25, the distribution frequency setting unit 134E acquires the target audience rating from the advertisement data, and calculates the frequency in the CM (TV advertisement) corresponding to the target audience rating. Then, a recognition rate (target recognition rate) corresponding to the calculated frequency is acquired from the recognition rate data, and the frequency of the net advertisement for achieving the target recognition rate is calculated.
For example, when the frequency of CM is 5 times, as shown in FIG. 3, the target recognition rate is 22%. Accordingly, the distribution frequency setting means 134E calculates that 10 frequency (10 advertisement distribution per user) is necessary when distributing the net video advertisement, and 25 times when distributing the net banner advertisement. Frequency (25 times of advertisement distribution per user) is calculated. Whether to use a net moving image advertisement or a net banner advertisement is determined by the type of the net advertisement (moving image or banner image) stored in the advertisement data. When both the video and the banner image are recorded, the distribution frequency setting unit 134E calculates the distribution frequency so that the target recognition rate can be achieved by the combination of the net video advertisement and the net banner advertisement. Alternatively, only one of them may be selected, and can be set as appropriate depending on the relationship with other advertisements when distributing the net advertisement.

After the distribution condition setting process in step S6 as described above, the distribution control unit 134F distributes the net advertisement to the user terminal 30 according to the terminal data of the user to be distributed based on the generated distribution condition data ( Step S7: Advertisement distribution step).
At this time, the distribution control means 134F counts the number of distributions of the net advertisement distributed to each user, and when the distribution of the number of distributions set for all users ends, the distribution completion data distribution completion flag is set. For example, it is set to “1” to record the completion of distribution. In this case, the distribution condition data may be deleted.

[Operational effects of this embodiment]
In the advertisement distribution apparatus according to the present embodiment, the advertisement data acquisition unit 132 causes the target audience rating of the broadcast program in which the CM is incorporated, and the net advertisement to compensate when the actual audience rating of the broadcast program does not reach the target. To get. When the audience rating of the broadcast program is acquired by the audience rating acquisition means, a judgment value obtained by subtracting the actual audience rating from the target audience rating is calculated, and the distribution amount of the net advertisement (number of delivery users) is calculated based on the judgment value. And distribution frequency).
For this reason, even if an advertiser purchases a CM time frame of a broadcast program in order to obtain an advertising effect, even if the actual audience rating of the broadcast program does not reach the target, it is distributed via the Internet. By using the online advertisement, it is possible to obtain an advertisement effect corresponding to the insufficient audience rating and improve the advertisement effect.

  In the present embodiment, the distribution user number calculation unit 134B calculates the number of persons who can view the broadcast program (that is, the area population) and the determination value. Therefore, it is possible to easily obtain the number of distribution users necessary to obtain a sufficient advertisement effect for an advertisement for which the advertisement effect by CM is insufficient, and to simplify the process.

  In this embodiment, when an advertiser designates an area as an attribute of a target layer, the difference value between the actual audience rating of the broadcast program in the area and the target audience rating of the area is used as a determination value, and the number of distribution users Is calculated. For this reason, an appropriate number of distribution users can be calculated for an area where the advertiser mainly wants to distribute the advertisement, and the advertisement distribution desired by the advertiser can be performed.

  Furthermore, in this embodiment, when an advertiser specifies an attribute of the target layer, a user corresponding to the attribute is extracted from the user data. Thereby, an internet advertisement can be appropriately distributed to the target layer which an advertiser demands.

  In this embodiment, the program viewing determination unit 134C determines that a broadcast program has been viewed when the user's action history includes a history indicating that the broadcast program has been viewed using, for example, one-segment broadcasting. Remove from delivery candidates. As a result, the same advertisement target net advertisement is distributed over and over to the user who has watched the broadcast program in which the advertisement target CM is incorporated, and instead the advertisement target is not displayed to other users who are not watching the broadcast program. The inconvenience that an online advertisement is not distributed can be suppressed.

  In the present embodiment, even if the user's action history does not include a history indicating that the broadcast program has been viewed, if the position data has changed during the broadcast time of the broadcast program, the user is moving, It is determined that the program is not viewed. Thereby, a net advertisement is distributed to a user who is highly likely not to watch a broadcast program.

  Furthermore, in this embodiment, when the user's action history does not include a history indicating that the broadcast program has been viewed and the position data does not change during the broadcast time of the broadcast program, the position is the normal location of the user. It is determined whether or not there is. If the user's action history includes a keyword history related to the target broadcast program in the search processing query, or if there is an operation history for the target broadcast program in the program guide, the user It is determined that the user is interested in the broadcast program and is watching the broadcast program. On the other hand, if there is no history regarding the target broadcast program in the action history, it is determined that the user is not viewing the target broadcast program, and is set as a distribution candidate for the net advertisement. As a result, similarly to the above, it is possible to suppress the inconvenience that the same advertisement target net advertisement as the CM is distributed to a specific user and the net advertisement is not distributed to other users.

  The distribution frequency setting means of the present embodiment obtains the recognition rate for the frequency of the CM of the program for which the target audience rating is determined from the recognition rate curve A indicating the relationship between the frequency and the recognition rate in the CM, and the frequency and recognition in the network advertisement. Using the recognition rate curves B and C indicating the relationship with the rate, the frequency of the net advertisement corresponding to the recognition rate is obtained and set as the advertisement frequency (the number of advertisements per person). Thereby, it is possible to achieve a recognition rate equivalent to a CM watched at a target audience rating by using a net advertisement, and to satisfy an advertisement effect desired by an advertiser.

  In the present embodiment, the audience rating acquisition unit 131 acquires the audience rating for each broadcast program from the audience rating survey server 40. In this case, for example, the audience rating of each broadcast program can be acquired quickly and efficient advertisement distribution can be performed as compared with the case where an audience rating survey is performed through a city questionnaire or the like.

[Second Embodiment]
Next, a second embodiment according to the present invention will be described.
In the first embodiment, the agency terminal 20 acquires the attribute of the target layer from the advertiser, transmits it to the distribution server 10, and is recorded as advertisement data. On the other hand, this embodiment is different from the first embodiment in that the distribution server 10 predicts a target layer for a broadcast program based on a plurality of user behavior histories.
In addition, in this embodiment, since it has the structure similar to said 1st embodiment and only a part of process of FIG. 7 differs, it demonstrates using the same drawing as said 1st embodiment, The same components as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted or simplified.

In this embodiment, in step S17 and step S18 in FIG. 7, the distribution user selection unit 134D extracts distribution candidate users based on the user's behavior history.
This behavior history can be the same as the behavior history used in step S24, and is related to the history of the target broadcast program (for example, the history of keywords included in the query of the search process or the target in the program guide). The operation history for selecting a broadcast program).
Thereby, the user who is interested in a broadcast program can be extracted as a delivery candidate of the net advertisement. In other words, since the advertiser compares the target layer to be advertised with the viewer group of the broadcast program and selects a broadcast program in which the CM is incorporated, users who are highly interested in the broadcast program are extracted. Thus, a high advertising effect can be obtained when a net advertisement to be advertised is distributed.

[Third embodiment]
Next, a third embodiment according to the present invention will be described.
In the first embodiment, an example in which the audience rating of each broadcast program is acquired from the audience rating survey server 40 has been described. In contrast, the third embodiment differs from the first embodiment in that the audience rating acquisition unit 131 predicts the audience rating based on comment data that can be acquired on the Internet.

  That is, as described above, the audience rating survey server 40 publishes the audience rating of the previous day's broadcast program on the day following the broadcast of the broadcast program. However, depending on the type of advertisement, there is something that is meaningful for distribution on the day of broadcasting the broadcast program or the early morning of the next day. For example, it is a case where a limited sale sale is carried out between the end of the broadcast of the broadcast program and the next day. Such an internet advertisement is preferably distributed immediately after the end of the broadcast program.

On the other hand, the audience rating acquisition unit 131 of the present embodiment predicts the audience rating based on comment data for a broadcast program to be released on the Internet.
As comment data, for example, comment texts of multiple users, Twitter (registered trademark), etc. that are replied to articles of the target broadcast program posted on SNS (Social Networking Service), blog, official page, etc. A message (so-called “tweet”) that can be browsed by an unspecified number can be cited.

The audience rating acquisition unit 131 predicts the audience rating based on the number of comment data searched as described above on the Internet, the analysis result when the comment data is analyzed, and the like. The more the number of comment data is searched, the higher the topicality and the higher the audience rating. Therefore, for example, correlation data in which the number of searches for comment data and the audience rating are associated is stored in the server storage unit 12, and the audience rating with respect to the number of searches is acquired.
Also, words (modifiers, etc.) included in the comment data are extracted by, for example, morphological analysis processing, and the audience rating is corrected by extracting the number of positive words and negative words for the category of the broadcast program. Also good. For example, for the category “comedy”, words “interesting” and “fun” are positive words, and words such as “scary” and “cannot laugh” are negative words. On the other hand, for the category “horror”, the words “scary” and “bad” are positive words, and the words “interesting” and “bright” are negative words. For this, for example, it is preferable to classify each word using a word dictionary showing positive words and negative words for each category. Then, in the case of a positive word, a positive correction value is added to the audience rating according to the number, and in the case of a negative word, a negative correction value to the audience rating is added according to the number. Is added.

Note that since the predicted audience rating predicted as described above is not an actual audience rating, there is a possibility that a correct result may not be reflected. Therefore, it is preferable to use it together with the actual audience rating acquired after the broadcast program ends from the audience rating survey server 40.
For example, the audience rating acquisition unit 131 calculates the predicted audience rating based on the comment data for 1 to 2 hours after the broadcast ends during the broadcast of the broadcast program. Similar to the first embodiment, the determination value calculation unit 134A calculates a determination value (= target audience rating−predicted audience rating) based on the predicted audience rating and the target audience rating. When the determination value is negative, the predicted audience rating is higher than the target audience rating, and thus the net advertisement is not distributed. On the other hand, when the determination value is positive, in step S16 in FIG. 7, the distribution user number calculating unit 134B sets a part of the determination value (for example, half of the determination value) as a temporary determination value based on the temporary determination value. Calculate the number of distribution users. Thereafter, the same processing as that in the first embodiment is performed, and the distribution processing of the net advertisement is performed.

  Also, the actual audience rating of each broadcast program is acquired from the audience rating survey server 40 on the next day of broadcasting the broadcast program, and an accurate determination value is calculated from the difference value between the actual audience rating and the target audience rating. Then, the determination value is compared with the temporary determination value, and when the temporary determination value is small, the distribution user number calculating unit 134B calculates the number of distribution users corresponding to the remaining determination value obtained by subtracting the temporary determination value from the determination value. And carry out the distribution process of online advertisement. On the other hand, when the provisional determination value is larger than the determination value, the distribution of the net advertisement is not performed. In this case, it is preferable to improve the accuracy of the prediction of the next audience rating by appropriately correcting the correlation data that associates the number of searches for comment data with the actual audience rating.

  In the third embodiment as described above, before the actual audience rating is made public on the audience rating survey server, the compensation process by the net advertisement when the actual audience rating is low is quickly performed based on the predicted audience rating. Can be implemented. Thereby, for example, even when it is desired to place an advertisement on the day of the broadcast, etc., it is possible to quickly distribute the net advertisement during the broadcast of the broadcast program or immediately after the broadcast, thereby further improving the advertising effect.

[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.

[Modification 1]
In the above embodiment, the audience rating acquisition unit 131 acquires the audience rating by reading the audience rating of each broadcast program released on the audience rating survey server 40. However, the present invention is not limited to this.
For example, the audience rating research server 40 may transmit the audience rating survey result to the distribution server 10 before the actual audience rating is disclosed. The audience rating survey can be acquired, for example, in about one hour from the end of the broadcast program. Therefore, by transmitting the audience rating survey result directly from the audience rating survey server 40 to the distribution server 10, it is possible to distribute the net advertisement based on the accurate audience rating at an earlier stage. In this case, as in the third embodiment, for example, it is possible to deal with an advertisement that needs to be output on the day of the broadcast program, and an advertisement effect desired by the advertiser can be obtained.

[Modification 2]
In the first embodiment described above, in step S25, when the number of distribution candidate users is smaller than the number of distribution users, an example of randomly selecting from other users is shown, but the present invention is not limited to this.
For example, you may select the related user relevant to the user who became distribution object. Examples of the related user include a family of users to be distributed, friends in SNS, and the like. By setting the family as a related user as an advertisement distribution target, for example, even if the related user is not interested in the advertisement target, the possibility of the advertisement target being introduced from the related user to the distribution target user increases, and the advertising effect Can be improved. Moreover, in SNS, users with the same hobbies often have friendships, and the advertising effect can be enhanced by extracting such SNS friends as related users.

[Modification 3]
In the first embodiment, an example in which a net advertisement can be distributed on the next day of the broadcast of a broadcast program that provides a rating rating, and in the third embodiment or modification 1, a net advertisement is displayed during the broadcast of a broadcast program or immediately after the end of the broadcast. An example of delivery is shown. In addition, the distribution server 10 acquires the advertisement distribution start timing and distribution period from the agency terminal 20, the advertiser terminal 50, etc. as the advertisement data, and sets the distribution start timing and distribution period. Also good.

[Modification 4]
In each of the above embodiments, the number of distribution users is calculated based on the determination value using the difference value between the target audience rating and the actual audience rating as a determination value. However, the present invention is not limited to this.
For example, if the target audience rating is compared with the actual audience rating, and the actual audience rating does not reach the target audience rating, a user with a preset number of delivery users may be selected to deliver the net advertisement. Good.

[Modification 5]
In the first embodiment, the program viewing determination unit 134C has a case where the position data changes over time and a case where the position data is not in a normal location as the basis for determining that the broadcast program is not viewed. Although illustrated, the presence / absence of viewing of the broadcast program may be determined by detecting whether or not the user terminal 30 is operated. For example, in addition to step S21 and step S23, it is determined whether or not an operation signal is input from the input operation unit 35 to the user terminal 30 within the broadcast time of the target broadcast program. It is predicted (determined) that the program is not watched, and the process proceeds to step S22. If the program is not input, the process proceeds to step S24.

[Modification 6]
In the embodiment described above, the distribution server 10 has shown an example of distributing a net video advertisement or a net banner advertisement. In this case, the user needs to start a dedicated program such as a browser to access the content of the distribution server 10. On the other hand, the net advertisement may be transmitted to the user terminal 30 by, for example, a push notification or the like and forcibly displayed on the display unit 36 of the user terminal 30. In this case, even if the user does not start up the browser, the net advertisement can be displayed on the user terminal.

[Modification 7]
In the above-described embodiment, the broadcast content transmitted from the television broadcasting station on the broadcast wave is exemplified as the viewing content, but the viewing content is not limited to this. The viewing content may be content of a radio program transmitted from a radio station, for example.
In addition, the viewing content may be a movie that can be viewed in a movie theater at a predetermined broadcast time. In this case, for example, an advertisement inserted before the main part of the movie starts becomes the first advertisement of the present invention. Also, in this case, the audience rating of the movie refers to the number of spectators in the movie. By applying the present invention, when the number of spectators in the movie is less than the target number of mobilization, It is possible to compensate for advertisements that are introduced before.
In addition, the present invention can be applied to any content as long as the content can be viewed in a predetermined time frame and the first advertisement can be displayed within the time frame.

[Modification 8]
In the first embodiment, the server storage unit 12 and the server control unit 13 that are hardware read and execute a program (software) stored in the server storage unit 12, thereby obtaining the audience rating acquisition unit 131, Although the example which functions as the advertisement data acquisition unit 132, the user data acquisition unit 133, and the advertisement distribution unit 134 has been shown, it is not limited thereto. For example, a configuration in which an audience rating acquisition unit, an advertisement data acquisition unit, a user data acquisition unit, and an advertisement distribution unit are realized by a hardware configuration such as an IC chip.

  In addition, the specific structure and procedure for carrying out the present invention can be changed as appropriate to other structures and the like within the scope of achieving the object of the present invention.

  DESCRIPTION OF SYMBOLS 1 ... Advertisement delivery system, 10 ... Delivery server (advertisement delivery apparatus), 11 ... Server communication part, 12 ... Server memory | storage part, 13 ... Server control part, 20 ... Agency terminal, 30 ... User terminal, 33 ... Position acquisition part , 40 ... audience rating survey server, 50 ... advertiser terminal, 121 ... program DB, 122 ... advertisement DB, 123 ... area DB, 124 ... user DB, 125 ... recognition rate data, 126 ... distribution condition data, 131 ... audience rating Acquisition means, 132 ... advertisement data acquisition means, 133 ... user data acquisition means, 134 ... advertisement distribution means, 134A ... determination value calculation means, 134B ... distribution user number calculation means, 134C ... program viewing determination means, 134D ... distribution user selection Means, 134E... Delivery frequency setting means, 134F... Delivery control means.

Claims (8)

Audience rating acquisition means for acquiring the audience rating of the viewing content in which the first advertisement that can be viewed in a preset time frame is incorporated;
Target audience rating acquisition means for acquiring a target audience rating of the viewing content;
Second advertisement acquisition means for acquiring a second advertisement related to the advertising target of the first advertisement;
An advertisement delivery means for delivering the second advertisement to a user terminal via the Internet and changing a delivery amount of the second advertisement based on a difference value between the audience rating and the target audience rating;
Equipped with a,
The advertisement distribution means determines the number of user terminals to be distributed for the second advertisement based on the number of people who can view the viewing content and the difference value.
An advertisement distribution apparatus characterized by the above. The advertisement distribution device according to claim 1 ,
An area population storage means for storing the area and the population for each area;
The audience rating acquisition means acquires the audience rating for each area,
The advertisement distribution device, wherein the advertisement distribution means calculates the difference value for each area and determines the number of the user terminals that distribute the second advertisement for each area. In the advertisement distribution device according to claim 1 or 2 ,
A target attribute acquisition means for acquiring an attribute of the target layer of the advertising target;
The audience rating acquisition means acquires the audience rating for each viewer attribute of the viewing content,
The advertisement distribution means calculates the difference value between the audience rating of the viewer corresponding to the attribute of the target layer and the target audience rating, and the number of user terminals to be distributed of the second advertisement An advertisement distribution apparatus characterized by determining The advertisement distribution device according to any one of claims 1 to 3 ,
User data acquisition means for acquiring user data including user behavior history from the user terminal,
Before SL action history, compared viewing content timetable time data indicating the time frame is selectably displayed viewable plurality of the viewing content includes operation history that indicates selection of the time data,
The advertisement delivery means before based on Kimisao operation history, the advertisement distribution device, characterized by selecting the user terminal to deliver said second advertisement. In the advertisement delivery device according to any one of claims 1 to 4 ,
Content viewing determining means for determining whether or not a user has viewed the viewing content in the time frame in which the viewing content can be viewed;
The advertisement distribution means excludes the user terminal corresponding to the user from the distribution target of the second advertisement when the content viewing determination means determines that the user has viewed the viewing content. A featured advertisement distribution device. The advertisement distribution device according to any one of claims 1 to 5 ,
First recognition rate storage means for storing first recognition rate data indicating a relationship of the recognition rate of the advertising target by the first advertisement with respect to the audience rating;
Second recognition rate storage means for storing second recognition rate data indicating the relationship between the number of times the second advertisement is distributed and the recognition rate,
The advertisement distribution means acquires a target recognition rate corresponding to the target audience rating based on the first recognition rate data, and the number of distributions corresponding to the target recognition rate based on the second recognition rate data And delivering the second advertisement of the number of times of delivery obtained to the user terminal. The advertisement distribution device according to claim 6 ,
The second recognition rate data includes a relationship of the recognition rate of the advertisement target by the second advertisement with respect to the number of distributions distributed to one user for each distribution form of the second advertisement. Advertising distribution device. An advertisement distribution method for performing advertisement distribution processing by a computer,
An audience rating acquisition step of acquiring an audience rating of the viewing content in which the first advertisement that can be viewed in a preset time frame is incorporated;
A target audience rating acquisition step of acquiring a target audience rating of the viewing content;
A second advertisement acquisition step of acquiring a second advertisement relating to the advertising target of the first advertisement;
And delivering the second advertisement in the user terminal via the Internet, and implement, the advertisement delivery step of changing the distribution rate of the second advertisement based on the difference value between the audience and the target audience ,
The advertisement distribution step determines the number of the user terminals to be distributed of the second advertisement based on the number of people who can view the viewing content and the difference value.
An advertisement delivery method characterized by the above.

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