JP6730046B2 - Device, method, and program - Google Patents

Description

The present invention relates to an apparatus, a method and a program.

A method of estimating a sales promotion effect of a product by contents such as a television program in which the product has appeared has been proposed (see Patent Document 1).
[Patent Document 1] Japanese Unexamined Patent Publication No. 2015-011577

However, there is no known method for analyzing the relationship between the actual purchase behavior of a purchaser of a product or the like and the viewing of a television program or the like. For example, there is no known method for analyzing the actual viewing tendency of a television program or the like by a purchaser of a specific product.

According to a first aspect of the present invention, a broadcast information by a condition input unit for inputting a designation condition for designating a part of a plurality of target persons and a target person who satisfies the designation condition among the plurality of target persons. A history acquisition unit that acquires the usage history of the user, and a specification unit that specifies the broadcast time zone of the broadcast information that the target person who satisfies the specified condition uses with different usage tendencies for a plurality of reference persons to be compared. An apparatus, an output section that outputs the time zone specified by the specifying section in a distinguishable manner, a method performed by the apparatus, and a program used for the apparatus.

The above summary of the invention does not enumerate all the features of the present invention. Further, a sub-combination of these feature groups can also be an invention.

1 shows a system 10 according to this embodiment. An example of the processing flow of the apparatus 100 according to the present embodiment is shown. An example of a purchase history stored in the purchase history database 44 is shown. An example of the usage history stored in the usage history database 52 is shown. An example of a usage rate of broadcast information of a target person who satisfies a specified condition is shown. An example of the usage rate of the broadcast information of a plurality of reference persons is shown. An example of a table including a plurality of time zones output by the output unit 195 is shown. An example of the processing of S180 by the device 100 according to the present embodiment is shown. An example of a method in which the priority determination unit 170 determines the priority will be shown. An example of the priority for each time period determined by the priority determination unit 170 is shown. The advertisement acquisition unit 160 acquires the number of advertisements for each time slot of a specific advertisement. An example of the advertisement placement evaluation calculated by the advertisement effect calculation unit 185 is shown. An example of the process of S190 by the apparatus 100 according to the present embodiment will be shown. An example of the calculation result of a live viewing ratio and a recording viewing ratio is shown. An example of a usage rate of a target person who satisfies a specified condition for each period is shown. An example of the configuration of a computer 1900 according to the present embodiment is shown.

Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Further, not all of the combinations of features described in the embodiments are essential to the solving means of the invention.

FIG. 1 shows a system 10 according to this embodiment. The system 10 specifies and outputs a different time zone to a reference person whose comparison target usage tendency of broadcast information of a specific target person is based on a usage history of broadcast information such as a television program. The system 10 includes a plurality of viewing devices 20, a plurality of broadcasting stations 26, a broadcast information database 28, a plurality of store terminals 40, a purchase history database 44, a history management server 46, a usage management server 50, and usage. The history database 52 and the device 100 are provided.

The viewing device 20 receives the broadcast information and causes the target person to use the received broadcast information. For example, the viewing device 20 may be a television receiver, receives a television program including information such as video and audio as broadcast information, and causes a target person to watch the television program. The viewing device 20 is a television device for exclusively receiving a television broadcast, a computer such as a personal computer or a laptop computer capable of receiving the television broadcast, and a mobile phone such as a mobile phone, a smartphone or a tablet terminal capable of receiving the television broadcast. It may be a terminal.

The viewing device 20 transmits the usage information to the usage management server 50 in response to the use of the broadcast information by the target person. For example, when the broadcast information is live-viewed or reproduced and viewed after recording (also referred to as “recording-and-viewing” in this specification), the viewing device 20 uses the information regarding viewing of the broadcast information as the usage information of the broadcast information and the network 22. To the usage management server 50 via. Here, "live viewing" and "recording viewing" are collectively referred to as "use". The viewing device 20 may be a radio receiver that receives a radio broadcast as broadcast information, and may transmit information regarding listening to a radio program as usage information.

The network 22 includes various networks such as the Internet, a wide area network (WAN), and a local area network, or a combination thereof. The network 22 may include a connection by a wired network and/or a wireless network at each connection point. For example, the network 22 may be realized by the Internet.

The broadcasting station 26 broadcasts the broadcast information to the plurality of viewing devices 20. For example, the broadcasting station 26 transmits broadcast information such as a television program or a radio program to a plurality of viewing devices 20 at the same time or at different times by wireless broadcasting or cable broadcasting.

The broadcast information database 28 stores in advance information related to advertisements provided along with the broadcast information broadcast by the broadcast station 26. For example, the broadcast information database 28 is information about the number of advertisement frames for each time period when the broadcast information is broadcast, and the number of advertisement frames for a specific advertisement (for example, an advertisement of an advertiser designated by the user of the apparatus 100). To store. Further, the broadcast information database 28 may acquire the timetable of the content included in the broadcast information from the broadcast station 26 or the like and store it in advance.

One or a plurality of store terminals 40 are connected to the device 100 via the network 42, and are POS terminals provided in various stores or computers having equivalent functions. When the target person purchases products and/or services (collectively referred to as “purchase target”), the store terminal 40 transmits purchase information regarding the purchase target to the history management server 46.

The network 42 includes various networks such as the Internet, a wide area network (WAN), and a local area network, or a combination thereof. The network 42 may include a connection by a wired network and/or a wireless network at each connection point. For example, the network 42 may be realized by a dedicated line separated from the network 22. Further, the network 22 and the network 42 may be the same network (for example, the Internet).

The purchase history database 44 receives, from the history management server 46, purchase information regarding the purchase of the purchase target by the target person and stores it as a purchase history. For example, the purchase history database 44 may store the purchase information including the identification information of the target person, the information of the purchase target, the date and time of the purchase, the place of purchase, and the like for each target person.

Further, the purchase history database 44 may store attribute data of each target person included in the purchase history. For example, the purchase history database 44 stores information such as the age or age of each target person, sex, living area, married/unmarried, existence of a child, occupation, annual income band, ownership of a car, and ownership of a residence. You may.

The history management server 46 is, for example, a computer such as a server computer, is connected to the store terminal 40 and the device 100 via the network 42, and manages one or a plurality of store terminals 40 provided in each store. The history management server 46 may perform the purchase process based on the purchase information transmitted from the store terminal 40 and record the purchase information in the purchase history database 44 as a purchase history.

The history management server 46 provides the purchase history of the target person to the device 100 from the purchase history database 44 in response to a request from the device 100. The history management server 46 may manage the attribute data of one or more target persons in the purchase history database 44 and provide the attribute data to the device 100.

The usage management server 50 is, for example, a computer such as a server computer, and manages a usage history of broadcast information by each viewing device 20. For example, the usage management server 50 receives the usage information of the television program from each viewing device 20, and stores the usage information in the usage history database 52 as a usage history. As an example, the usage management server 50 may store the usage information for each content of each viewing device 20 in the usage history database 52 as a usage history based on the timetable of the content of the broadcast information stored in the broadcast information database 28. .. The usage management server 50 also provides usage histories of the plurality of viewing devices 20 in response to a request from the device 100.

Further, the usage management server 50 may provide the device 100 with information regarding the usage tendency of the broadcast information from a research organization or the like outside the system 10. For example, the usage management server 50 may provide the device 100 with the information of the audience rating of the television program provided by the audience rating research company or the like.

Further, the usage management server 50 may store the identification information for identifying each viewing device 20 in the usage history in association with the identification information of each target person in the purchase history in the usage history database 52.

The usage history database 52 stores a usage history of broadcast information by each viewing device 20. For example, the usage history database 52 stores, for each viewing device 20, identification information of the viewing device 20, broadcast information used by the target person, and/or information that specifies the usage time zone of the target person as a usage history. As an example, the usage history database 52 includes, for each viewing device 20, a selected broadcasting station (for example, a television broadcasting station), a type of live viewing and/or recording and viewing, a start time of broadcasting (for example, broadcasting of a television program). (Starting time), and/or viewing history including whether or not each content in the broadcast information is viewed may be stored as at least a part of the usage history.

The device 100 is, for example, a computer such as a server computer, analyzes the usage tendency of the broadcast information of the target person who satisfies the specified condition, and broadcasts the broadcast information that the target person who satisfies the specified condition uses with a different usage tendency from the comparison target. Specify and output the time zone of. For example, the apparatus 100 identifies a television program in which the audience rating of the target person who has purchased a particular product or the like differs from the audience rating of all the viewers. The device 100 includes a condition input unit 110, a history acquisition unit 120, a ratio calculation unit 130, a specification unit 140, a submission acquisition unit 160, a priority determination unit 170, an aggregation unit 180, an advertisement effect calculation unit 185, a recommendation unit 190, and It has an output unit 195.

The condition input unit 110 inputs a specifying condition for specifying a part of the plurality of target persons. For example, the condition input unit 110 inputs, as at least a part of the designated condition, that the target person has purchased a specific purchase target from the user of the device 100 via the input interface of the device 100. The condition input unit 110 provides the input specified condition to the history acquisition unit 120.

The condition input unit 110 may also input other information that the user should specify in the process of the apparatus 100. For example, the condition input unit 110 may input a designation of an advertisement for which an advertisement effect is to be calculated, and provide the advertisement effect calculation unit 185 with the designation.

The history acquisition unit 120 acquires a usage history of broadcast information by a target person who satisfies a specified condition among a plurality of target persons. For example, the history acquisition unit 120 satisfies the specified condition of the viewing history of the television program of the target person who purchased the specific purchase target from the usage history database 52 based on the purchase history of the purchase history database 44. It is acquired as the usage history of the broadcast information of the target person.

The history acquisition unit 120 uses the purchase history of the purchase history database 44 to collect broadcast information of a plurality of reference persons (for example, all target persons including target persons who satisfy the specified condition) to be compared from the use history database 52. Usage history may be acquired.

Further, the history acquisition unit 120 may use the purchase history of the purchase history database 44 to acquire, from the usage history database 52, a usage history of broadcast information by a target person who does not satisfy the specified condition. The history acquisition unit 120 provides the acquired usage history and the like to at least one of the ratio calculation unit 130, the advertisement effect calculation unit 185, and the recommendation unit 190.

The ratio calculation unit 130 calculates, for each time period, a usage ratio in which the target person who satisfies the designated condition uses the broadcast information, based on the usage history of the target person who satisfies the designated condition. Further, the ratio calculation unit 130 determines the plurality of reference persons based on the use histories of the plurality of reference persons (for example, all the target persons in the use history database including the person who satisfies the designated condition) to be compared with the person who satisfies the designated condition. The usage rate at which the reference person uses each broadcast information is calculated for each time period.

The ratio calculation unit 130, based on the usage history of the target person who satisfies the designated condition, sets the live viewing rate at which the target person who satisfies the designated condition views the television program live and the recording viewing rate at which the video recording is viewed for each time period. It may be calculated. The ratio calculation unit 130 supplies the calculated usage ratio to the identification unit 140 and the output unit 195.

The specifying unit 140 specifies, from a plurality of time zones, a time slot for broadcasting broadcast information that a target person who satisfies a specified condition uses a different usage tendency with respect to a plurality of reference persons to be compared. For example, the specifying unit 140 specifies a time period in which broadcast information is broadcast in which the usage ratio of the broadcast information of the target person who satisfies the specified condition is different from the usage ratio of the broadcast information of the plurality of reference persons to be compared. The identifying unit 140 supplies the identified time zone to the output unit 195.

The advertisement acquisition unit 160 acquires information regarding advertisement advertisement of broadcast information. For example, the advertisement acquisition unit 160 acquires, for each time period, at least one of a predetermined number of advertisements and a predetermined advertisement advertisement ratio, which are incidental to the broadcast information. As an example, the advertisement acquisition unit 160 outputs the number of advertisement advertisement frames for each time slot from the broadcast information database broadcast information database 28 via the use management server 50, and advertisement advertisement by the advertiser designated by the user of the apparatus 100. The number may be acquired for each time period, and the ratio of the number of advertisements/time by a specific advertiser for each time period to the entire advertisement frame may be calculated as the advertisement ratio.

Further, the advertisement acquisition unit 160 may acquire advertisement advertisement costs per advertisement frame for each time period. The submission acquisition unit 160 may obtain the number of submissions, the placement ratio, and/or the placement cost by receiving an input from the user. The advertisement acquisition unit 160 supplies the acquired information regarding the advertisement advertisement to the totaling unit 180, the recommendation unit 190, and the output unit 195.

The priority determining unit 170 determines the priority of advertisement placement for each of a plurality of time periods based on the broadcast information usage ratios of the plurality of reference persons and the broadcast information usage ratios of the target persons who satisfy the specified conditions. .. For example, the priority determination unit 170 sets the priority according to the size of the difference between the usage rate of the broadcast information of the target person who satisfies the specified condition and the usage rate of the broadcast information of the plurality of reference persons to be compared. May be given. The priority determination unit 170 supplies the calculated priority to the aggregation unit 180.

The tallying unit 180 is viewed for each priority in the time period to which the priority is assigned, based on the number and placement ratio of submissions obtained from the submission acquisition unit 160, and the priority obtained from the priority determination unit 170. The number of advertisement frames for the broadcast information and the number of advertisement advertisements set in advance are totaled. The specific processing content by the tallying unit 180 will be described later. The aggregation unit 180 supplies the calculated aggregation result to the advertisement effect calculation unit 185 and the output unit 195.

The advertisement effect calculation unit 185 calculates the advertisement placement evaluation for each broadcast station 26 based on the broadcast station 26 and the predetermined number of advertisement placements for each priority, which is aggregated by the aggregation unit 180. Further, the advertisement effect calculation unit 185 may calculate the advertisement effect of the advertisement related to the one designated purchase target incidental to the broadcast information.

Furthermore, the advertisement effect calculation unit 185 may calculate the advertisement placement efficiency based on the advertisement effect and the total number of usage rates of a plurality of reference persons of the broadcast information attached to the advertisement. The specific processing content by the advertising effect calculation unit 185 will be described later. The advertisement effect calculation unit 185 supplies the calculated advertisement placement evaluation and advertisement effect to the recommendation unit 190 and the output unit 195.

The recommendation unit 190 creates a proposal of an advertisement placement plan based on the advertisement placement evaluation of each broadcast station 26 and the advertisement placement cost of each broadcast station 26. The recommendation unit 190 supplies the created proposal to the output unit 195.

The output unit 195 outputs the processing result information received from each element of the device 100 to a display that is built in the device 100, externally attached to the device 100, or wirelessly connected to the device 100, and displays the information. For example, the output unit 195 outputs the broadcast time zone of the broadcast information, which is specified by the specifying unit 140 and is used by the target person who satisfies the specified condition with a different usage tendency from the reference person.

In addition, the output unit 195 may output the advertisement placement evaluation, the advertisement effectiveness, and/or the placement efficiency calculated by the advertisement effectiveness calculation unit 185. Further, for example, the output unit 195 may display the live viewing ratio and the recording viewing ratio for each time period. In addition, for example, the output unit 195 may output at least one of the predetermined number of advertisements that the advertisement acquisition unit 160 has acquired and the ratio of advertisements to a predetermined advertisement advertisement frame, for each time period.

In addition, for example, the output unit 195 may output at least one of the number of submitted advertisements and the submission ratio for each priority. Further, for example, the output unit 195 may output the usage rate for each period calculated by the rate calculation unit 130. Further, for example, the output unit 195 may output the proposal generated by the recommendation unit 190.

As described above, according to the system 10 including the device 100, by associating the usage history of a television program or the like with the purchase history of a product or the like, the target person who purchases the specific product or the like tends to watch the specific television program or the like. Moreover, it is possible to calculate the influence of the viewing of a specific TV program or the like on the purchase of a specific product, and present the result to the user of the apparatus 100. Thus, the apparatus 100 can specify the time zone in which a television program or the like is effectively broadcasted in advertising a specific product or the like, and calculate the effect of the advertisement accompanying the television program or the like.

The one or more elements included in the system 10 may be a distributed system including a plurality of computers. For example, the history management server 46 and the usage management server 50 may each be realized by a plurality of computers. Further, a plurality of elements included in the system 10 may be realized by one computer. For example, at least a part of the functions of the usage management server 50 and the functions of the device 100 may be realized by one computer.

FIG. 2 shows an example of a processing flow of the device 100 according to this embodiment. The device 100 analyzes the usage history of the broadcast information and evaluates the advertisement by executing the processes of S110 to S190.

First, in S110, the condition input unit 110 inputs a specified condition for specifying a part of the plurality of target persons. For example, the condition input unit 110 allows the user of the device 100 to input one or more specific purchase targets (for example, “wine a” or “beverages classified as alcoholic beverages”) via the input interface of the device 100. ) Is purchased at least as part of the specified conditions. In addition to/instead of this, the condition input unit 110 inputs an attribute that the subject should have as at least a part of the designated condition. The condition input unit 110 provides the input specified condition to the history acquisition unit 120.

Next, in S130, the history acquisition unit 120 acquires the purchase history satisfying the designated condition acquired in S110. For example, the history acquisition unit 120 acquires the purchase history of a plurality of purchase targets by a plurality of target persons from the purchase history database 44 via the history management server 46, and selects the purchase history satisfying the specified condition from the plurality of purchase histories. Identify the target audience. Here, an example of the process of the history acquisition unit 120 will be described using the example of FIG.

FIG. 3 shows an example of the purchase history stored in the purchase history database 44. As shown in the figure, the purchase history database has identification information of the target person who purchased the purchase target (shown as a purchase ID in the figure), a purchase target name, a purchase target classification, a purchase target manufacturer, and a purchase target purchase. A purchase history including the date and time, the purchase price of the purchase target, and the purchase location of the purchase target may be stored for each purchase opportunity.

For example, in FIG. 3, the target person indicated by the purchase ID “yy1” purchases “wine a” at “20xx/xx/xx 15:01” at “700 yen” and at the “super X AA store”. A purchase history indicating that a purchase has been made is shown. Furthermore, the purchase history database 44 may include the attribute data of the target person as part of the purchase history. The purchase history database 44 may use, as the purchase ID of the target person, the ID of the membership card or the like that the target person reads at the shop terminal 40 when purchasing the purchase target.

In the process of S130, for example, when the designated condition input in S110 includes the purchase of a specific purchase target (for example, “wine a”), the history acquisition unit 120 identifies the purchase history database 44 shown in FIG. The purchase ID (for example, "yy1") of the target person included in all purchase histories indicating the purchase of the purchase target (for example, "wine a") may be acquired. When the purchase history database 44 includes the attribute data of the target person and the designation condition includes designation of the attribute, the history acquisition unit 120 includes all the attributes having the designation condition in the purchase history of the purchase history database 44. The purchase ID of the target person may be acquired.

Next, in S140, the history acquisition unit 120 acquires the usage history of the broadcast information by the target persons who satisfy the specified condition among the plurality of target persons. For example, the history acquisition unit 120 acquires a plurality of usage histories corresponding to the plurality of viewing devices 20 from the usage history database 52 via the usage management server 50, and selects a plurality of usage histories from the plurality of usage histories as target persons who satisfy the specified condition. The associated usage history is specified, and the specified usage history is acquired as the usage history of the broadcast information by the target person who satisfies the specified condition. Here, an example of the process of the history acquisition unit 120 will be described using the example of FIG.

FIG. 4 shows an example of the usage history stored in the usage history database 52. As shown in the figure, the usage history database 52 includes the identification information (shown as a viewing ID in the drawing) of the viewing device 20 that each target person views, the broadcasting station that broadcast the broadcast information, the name of the broadcast information, and the broadcast information. Each content (for example, an introduction part in a news program, a CM part or each CM, each news, etc.), a start time of each content, whether each content is viewed or not, and a distinction between recorded viewing and live viewing of each content. The usage history including the data may be stored.

For example, the usage history database 52 may record a value (eg, “1”) indicating that the content has been viewed when each content is viewed at a predetermined rate (eg, 50%) or more. In the example of FIG. 4, the "introduction part" and "CM1" of the "news program xx" broadcast to the broadcast station A from 13:00 on xx month xx month 20xx by the viewing device 20 corresponding to the viewing ID "xx1". , "News 2" and "CM2" are viewed by live viewing by 50% or more, and "News" is viewed by less than 50% (or not viewed at all).

For example, the usage management server 50 stores the operation information, the operation time, and/or the usage information including the raw data such as the viewing time of the viewing apparatus 20, which is received from the viewing apparatus 20, in the broadcast information database 28. The usage history shown in FIG. 4 may be generated with reference to the time table of the broadcast information and stored in the usage history database 52.

The viewing ID may include identification information assigned to each individual person who uses the viewing device 20. In this case, a plurality of viewing IDs may be assigned to one viewing device 20. For example, when the viewing device 20 can identify a target person who is using the viewing device 20, the viewing device 20 records a usage history including a viewing ID different for each target person in the usage history database 52 via the usage management server 50. Good.

Further, the usage history database 52 may store the purchase ID corresponding to the viewing ID as a part of the usage history. For example, the usage management server 50 preliminarily identifies information on the purchase history database of the target person who views each viewing device 20 from each viewing device 20 or another terminal of the target person who views each viewing device 20 (for example, The purchase ID) may be acquired and stored in the usage history database 52 in association with the viewing ID of each viewing device 20.

In the processing of S140, for example, the history acquisition unit 120 uses the usage history related to the usage history including the purchase ID (for example, “yy1”) acquired in S130 from the usage history of the usage history database 52 illustrated in FIG. 4 (for example, The usage history of “broadcasting station A” including the purchase ID “yy1” and the viewing ID “xx1”) may be acquired as the usage history of the broadcast information by the target person who satisfies the specified condition.

Next, in the process of S150, the history acquisition unit 120 acquires the usage history of the broadcast information by the plurality of reference persons who are the comparison targets of the target persons who satisfy the specified condition. For example, the history acquisition unit 120 may generate a plurality of all usage histories of the usage history database 52, or some usage histories randomly selected from all the usage histories at a predetermined ratio (for example, 1/10). It may be acquired as the usage history of the broadcast information by the reference person. Instead of this, the history acquisition unit 120 may acquire information such as the audience rating of each TV program provided by the audience rating research company or the like from the usage management server 50. The history acquisition unit 120 provides the acquired usage history and the like to the ratio calculation unit 130, the advertisement effect calculation unit 185, and the recommendation unit 190.

Next, in S160, the ratio calculation unit 130 calculates a usage ratio in which the target person who satisfies the designated condition uses each broadcast information, based on the use history of the target person who satisfies the designated condition acquired in S140. For example, the ratio calculation unit 130 calculates the ratio of the target people who have used the broadcast information among the plurality of target people included in the usage history acquired in S140 by the time zone (for example, a specific month, week, day, day of the week, It is calculated for each time zone (as an example, 10 minutes, 30 minutes, 1 hour, 2 hours, 3 hours, or 6 hours, or a combination of a plurality of these), and for each broadcasting station that broadcasts broadcast information. ..

Here, the “target person who uses the broadcast information” may be a target person who has watched at least a predetermined number or a ratio of one or a plurality of contents included in the broadcast information in the usage history. For example, “target person using broadcast information” relates to one or more contents included in the broadcast information, two or more contents, a majority of contents, all contents, or a predetermined number or a ratio of CMs or more. The target person may have viewed the content.

FIG. 5 shows an example of the usage rate of the broadcast information of the target person who satisfies the specified condition. For example, according to FIG. 5, among the target persons who satisfy the specified condition (for example, the target person who purchased “wine a”), the broadcast information of the broadcast station A in the time period of “5:00 to 5:30 on Monday”. 2.40% of the subjects watched live or recorded and watched the broadcast information of the broadcasting station A live or recorded and watched during the period of "7:00 to 7:30 on Friday". The ratio is 10.54%. The ratio calculation unit 130 supplies the calculated usage ratio of the target person who satisfies the specified condition to the specification unit 140 and the priority determination unit 170.

Next, in S165, the ratio calculation unit 130 calculates a usage ratio in which the plurality of reference persons use each broadcast information, based on the use history of the plurality of reference persons to be compared acquired in S150. For example, the ratio calculation unit 130 determines, for each time period and for each broadcasting station that broadcasts the broadcast information, the ratio of the target person who uses each broadcast information among the plurality of reference persons included in the usage history acquired in S150. Calculate to. Instead of this, the ratio calculation unit 130 may use the value of the audience rating acquired by the history acquisition unit 120 as the usage ratio at which a plurality of reference persons use each broadcast information.

FIG. 6 shows an example of usage rates of broadcast information of a plurality of reference persons. For example, according to FIG. 6, among a plurality of reference persons (for example, all target persons whose use history is stored in the use history database 52), the broadcasting station in the time period of “5:00 to 5:30 on Monday”. The ratio of those who watched or recorded and watched the broadcast information of A live was 1.46%, and the broadcast information of the broadcasting station A was watched live or recorded during the period of “7:00 to 7:30 on Friday”. The percentage of subjects who did was 9.41%. The ratio calculating unit 130 supplies the calculated use ratios by the plurality of reference persons to the specifying unit 140 and the priority determining unit 170.

Next, in S170, the specifying unit 140 specifies the broadcast time zone of the broadcast information used by the target person who satisfies the specified condition with respect to the plurality of reference persons to be compared with different usage tendencies. For example, the identifying unit 140 compares, for each broadcast information, the use ratio of the broadcast information of the target person who satisfies the specified condition with the use ratio of the broadcast information of the plurality of reference persons who are the comparison target, and the target person who satisfies the specified condition. However, the broadcast time zone of the broadcast information that is used more than a predetermined standard may be specified for a plurality of standard persons.

As an example, the specifying unit 140 uses the usage ratio comparison value indicating the size of the usage ratio of the target person satisfying the specified condition with respect to the usage ratios of the plurality of reference persons (for example, the usage ratio of the target person satisfying the specified condition is determined by the plurality of standards A time period in which the division value divided by the utilization ratio of the person or the subtraction value reduced is greater than or equal to a predetermined criterion (for example, 120% for the division value and 20% for the subtraction value) may be specified. .. Accordingly, the specifying unit 140 can specify a broadcast time zone of a television program or the like in which a target person who purchased a specific product or the like has a higher viewing rate than a general viewer.

Further, for example, the identifying unit 140 determines that the usage rate of the target person who satisfies the specified condition is higher than the usage rates of a plurality of reference persons by a predetermined standard or more (that is, the usage rate comparison value is the standard value or more). ) In addition to the above, the broadcast time zone of broadcast information is specified in which the usage rate by a plurality of reference persons is higher than a predetermined standard (for example, 10% or the average of usage rates of all broadcasting stations in the same time zone). You may. As a result, the specifying unit 140 specifies a broadcast time period of a television program in which the target person who purchased the specific product or the like has a higher viewing rate than a general viewer and the viewing rate is equal to or higher than the reference. be able to.

The identifying unit 140 supplies the calculated utilization ratio comparison value for each time zone and the identified time zone to the output unit 195. In addition, the specifying unit 140 supplies the priority determining unit 170 with the use ratios of the broadcast information of the plurality of reference persons to be compared and the use ratio comparison values for each time period.

Next, in S175, the output unit 195 outputs the time zone specified by the specifying unit 140 in S170 to the display, and causes the display to display it in a distinguishable manner. For example, the output unit 195 outputs a table including the plurality of time periods specified by the specifying unit 140, and causes the display to display the specified time period in the table in a distinguishable manner.

FIG. 7 shows an example of a table including a plurality of time zones output by the output unit 195. As illustrated, the output unit 195 outputs a table including a plurality of time zones including a day of the week and a time zone divided every 30 minutes, and outputs a utilization ratio comparison value in the corresponding time zone in each table. For example, according to FIG. 7, the utilization ratio comparison value of the broadcast information of the broadcast station A in the time period of “5:00 to 5:30 on Monday” is 164%, and “Friday 7:00 to 7:30”. The use ratio comparison value of the broadcast information of the broadcast station A in the time zone of is 112%.

Here, the output unit 195 is less than the reference value so that the time period (for example, Monday from 5:00 to 5:30) having the usage ratio comparison value higher than the reference value (for example, 120%) can be identified. Processing such as highlighting may be performed and displayed for a time period having a utilization ratio comparison value (for example, Friday 7:00 to 7:30). For example, the output unit 195 makes the font bold, changes the font size, changes the font color, and underlines the font for a time period having a utilization ratio comparison value higher than the reference value on the table. By changing the font type, changing the background color or background pattern, and executing a combination of these, the time zone may be output in a distinguishable manner.

As a result, the output unit 195 can present the user of the device 100 in an easy-to-understand manner with respect to the viewing tendency of a television program or the like of a target person who satisfies the specified condition (for example, a target person having a purchase history of wine a). For example, according to FIG. 7, it is shown that the ratio of viewing of the target person who satisfies the specified condition is relatively high on weekdays (particularly Tuesday and Wednesday) and Saturday and Sunday. Therefore, in this example, the apparatus 100 indicates that it is desirable that the television CM of the wine a or a similar product is placed on weekday mornings and Saturdays and Sundays.

The advertisement placement cost may be determined by multiplying the total number of usage rates of a plurality of reference persons of the broadcast information attached to the advertisement (for example, GRP: Gross Rating Point showing the total number of audience ratings) by the unit price. Here, according to the device 100 of the present embodiment, when a predetermined number of GRP advertisements are put in, it is possible to avoid consuming the GRP in an inefficient time period when the usage ratio comparison value is low, and It is possible to place a TV commercial or the like on a highly efficient time zone.

Next, in S180, the apparatus 100 calculates the evaluation of each broadcasting station that broadcasts the broadcast information, based on the utilization ratio calculated in S160 and S170. In addition, the device 100 may generate a proposal for an advertisement placement plan based on the calculated evaluation of each broadcasting station. Details of the processing of S180 will be described later.

Next, in S190, the apparatus 100 calculates the placement efficiency for each advertisement attached to the broadcast information. Details of the process of S190 will be described later.

FIG. 8 shows an example of the processing of S180 by the device 100 according to this embodiment. The device 100 may execute the process of S180 by performing the processes of S181 to S189 of FIG.

First, in step S181, the priority determination unit 170 determines the broadcast information for each of a plurality of time zones based on the use ratio of the broadcast information by the plurality of reference persons and the use ratio of the broadcast information by the target person who satisfies the specified condition. Determine your ad placement priority. For example, the priority determining unit 170 is based on the use ratio of broadcast information among a plurality of reference persons, and the use ratio comparison value for each time period determined based on the use ratio of broadcast information of the target person who satisfies the specified condition. Thus, the priority of advertisement placement with respect to the broadcast information for each of a plurality of time zones may be determined.

FIG. 9 shows an example of a method in which the priority determining unit 170 determines the priority. In this example, the priority determination unit 170 uses two threshold values (for example, 7.15% and 2.36%) for the values of the usage rates of the broadcast information in the plurality of reference persons, “high” and “medium”. “,” “Low”, and the values of the usage ratio comparison values are classified into “High”, “Medium”, and “Low” using two threshold values (for example, 87% and 119%).

Then, the priority determination unit 170 determines the priority based on the combination of the two classification results. For example, when the value of the usage rate of the broadcast information broadcasted in a certain time zone by a plurality of reference persons is “high” and the value of the usage rate comparison value in the time zone is “high”, the priority determination unit 170 has the highest priority, “⊚”. In addition, when one of the use ratio value and the use ratio comparison value is “high” and the other is “medium”, the priority determination unit 170 sets the next highest priority to “◯”, and the use ratio value and use When one of the ratio comparison values is “high” and the other is “small” and when both are “medium”, the priority determination unit 170 sets the priority to the third highest “Δ”, and in other cases. The priority determination unit 170 sets the priority to the lowest “x”.

FIG. 10 shows an example of priorities for each time period determined by the priority determination unit 170. In the example of FIG. 10, the priority determination unit 170 determines a plurality of reference rates based on the use rates of the plurality of reference persons shown in FIG. 6, the use rate comparison values shown in FIG. 7, and the priority determination method described in FIG. The result of having decided the priority of advertisement placement to the broadcast information for every time zone is shown. In the figure, it is shown that the time zone of “7:00 to 7:30 on Saturday” is the time zone of “∘” having the highest priority.

Next, in S183, the advertisement acquisition unit 160 acquires the number of advertisements attached to the broadcast information for each time period. For example, the advertisement acquisition unit 160 uses the broadcast information database 28 via the usage management server 50 to determine the number of advertisement slots for advertisements (for example, TV commercials) for each time slot and a specific advertisement for each time slot (for example, advertisement advertisement). Acquire the number of advertisements of a specific advertiser or an advertisement related to a specific product). The placement acquisition unit 160 may receive the designation of the target advertisement from the user of the apparatus 100 via the condition input unit 110, and may obtain the number of placements of the designated advertisement and the like.

FIG. 11 obtains the number of submissions of each specific advertisement acquired by the submission acquisition unit 160 for each time period. In the example of FIG. 11, the number of advertisements of a specific advertisement (for example, an advertisement by the advertiser A who manufactures and sells wine a) is displayed every 30 minutes for each day of the week. For example, in FIG. 11, one advertisement is placed in a frame of 5:30 to 6:00 on Monday, one advertisement is placed on Tuesday from 5:30 to 6:00, and a frame of 6:30 to 7:00. In, it is shown that two advertisements have been placed. The submission acquisition unit 160 supplies the acquired submission frame number and submission number to the totaling unit 180.

Further, the submission acquisition unit 160 may provide the output unit 195 with a table indicating the number of submissions shown in FIG. 11, and cause the output unit 195 to output the table. Further, the advertisement acquisition unit 160 calculates the advertisement ratio for a predetermined advertisement advertisement frame for each time period, provides the output unit 195 with a table indicating the advertisement ratio for each time period, and outputs the table to the output unit 195. You can let me.

Next, in step S185, the tallying unit 180 determines, based on the number of submissions obtained from the submission acquisition unit 160 and the priority obtained from the priority determination unit 170, a time period in which the priority is assigned for each priority. The total number of advertisements set in advance for the broadcast information viewed by the user is counted. For example, the tallying unit 180 tallies the total number of advertisements of a predetermined TV commercial (for example, an advertisement by the advertiser A) in all time zones in which the priority becomes ◎, and also for the priority ◯Δ×. Similarly, the number of submissions is totaled.

In addition, the aggregation unit 180 is viewed for each priority in the time period to which the priority is assigned, based on the number of submission frames obtained from the submission acquisition unit 160 and the priority obtained from the priority determination unit 170. The predetermined number of advertisement placement frames for the broadcast information is counted. The aggregation unit 180 supplies the calculated aggregation result to the advertisement effect calculation unit 185. For example, the totaling unit 180 totals the total number of submitted frames in all the time zones in which the priority becomes ⊚, and similarly the total number of submitted frames for the priority ◯Δ×.

Next, in S187, the advertisement effect calculation unit 185 calculates the advertisement placement evaluation for each broadcast station 26, based on the number of advertisement placements and the number of placement slots of the advertisement that are predetermined for each broadcast station 26 and priority. For example, first, the advertisement effect calculation unit 185 calculates the ratio occupied by the number of advertisement frames of each priority and the ratio occupied by the number of advertisement advertisements of a predetermined priority. Next, the advertisement effect calculation unit 185 calculates, for each priority, the ratio of the ratio of the number of placed advertisement frames to the ratio of the number of placed advertisements, which is determined in advance, as the number efficiency. Next, the advertisement effect calculation unit 185 calculates the total number efficiency of higher priority (for example, the total number efficiency of priority of the upper half) to the total of number efficiency of lower priority (for example, the lower half). A value obtained by subtracting (the total number efficiency of priority) may be used as the advertisement placement evaluation of the broadcasting station 26.

FIG. 12 shows an example of the advertisement placement evaluation calculated by the advertisement effect calculation unit 185. In the example of FIG. 12, out of the total number of advertisement frames attached to the broadcast information broadcast by the broadcast station A, the number of advertisement slots attached to the broadcast information in the time period having the priority ◎ is 33, and the number of advertisement frames is The ratio to the total is 9.8%, the number of advertisement slots attached to the broadcast information in the time period of priority ◯ is 88, and the ratio to the total number of advertisement slots is 26.2%. The number of advertisement slots attached to the broadcast information in the time period of degree Δ is 96, and the ratio to the total number of advertisement slots is 28.6%, and the advertisement attached to the broadcast information in the time zone of priority × The number of submitted frames is 119, and the ratio of the total number of submitted frames is 35.4%.

In addition, in the example of FIG. 12, the broadcast information in the time period having the priority ⊚ in the total number of advertisements issued by the specific advertiser (for example, the advertiser A) with respect to the broadcast information broadcast by the broadcast station A. The number of advertisements incidental to the number of advertisements is 23, the ratio of the total number of advertisements is 20.7%, and the number of advertisements incidental to the broadcast information in the time period of the priority ○ is 34, which is the total number of advertisements. The ratio is 30.6%, the number of advertisements incidental to the broadcast information in the time zone with the priority Δ is 24, and the ratio to the total number of advertisements is 21.6%, and the priority is ×. The number of advertisements incidental to the broadcast information of the time zone is 30, and the ratio of the total number of advertisements is 27.0%.

In the example of FIG. 12, the number efficiency of the priority ◎ is 211.0 from the ratio of the number of submissions in the priority ◎ (20.7%) to the ratio of the number of submission slots in the priority ◎ (9.8%). %, and the number efficiency of the priority ◯ is 117.0% from the ratio of the number of submissions in the priority ◯ (30.6%) to the ratio of the number of submission slots in the priority ◯ (26.2%). The number efficiency of the priority Δ is 75.7% from the ratio of the number of submissions in the priority Δ (21.6%) to the ratio of the number of submission slots in the priority Δ (28.6%). Calculated, the number efficiency of priority x is calculated as 76.3% from the ratio of the number of submitted advertisements in priority x (27.0%) to the ratio of the number of published slots in priority x (35.4%). To be done.

Therefore, in the example of FIG. 12, the advertisement effect calculation unit 185 determines that the total number efficiency (328.0%) of the upper two priorities (⊚ and ○) to the number efficiency of the lower two priorities (Δ and ×). (152.0%), and as a result, the advertisement placement evaluation of the broadcasting station A is calculated to be 176.0. The advertisement effect calculation unit 185 can similarly calculate the advertisement placement evaluation for the other broadcasting stations 26.

Note that the advertisement effect calculation unit 185 does not calculate the ratio of the number of advertisement frames of each priority to the total number of advertisement frames, but instead of calculating the ratio of the number of advertisement frames of each priority, a plurality of pieces of broadcast information in which advertisement advertisement frames are set for each priority is displayed. The ratio of the total number of use ratios of the reference person (for example, advertisement GRP) may be calculated for each placement frame of each priority. For example, in the example of FIG. 12, the GRP of the broadcast information of the broadcasting frame of the broadcasting station A in the time period of the priority ◎ is 300, and the GRP of the broadcasting information of the broadcasting frame of the time period of the priority O is 700, When the GRP of the broadcast information of the advertisement frame in the time frame of the degree Δ is 500 and the GRP of the broadcast information of the advertisement frame in the time zone of the priority × is 500, the ratio of the priority ◎ is 15%, and the priority is The ratio of degree O is 35%, and the ratio of priority Δ and priority X is 25%.

In addition, the advertisement effect calculation unit 185 does not calculate the ratio of the number of advertisements of each priority to the total number of advertisements, but instead of calculating the ratio of the number of advertisements of each priority, the usage rate of a plurality of reference persons of the broadcast information in which the advertisement is advertised for each priority. The ratio of the total number (for example, advertisement GRP) may be calculated. The advertisement effect calculation unit 185 may calculate the GRP efficiency for each priority by the same method as the calculation of the number efficiency (%), and further calculate the advertisement placement evaluation based on the GRP. The advertisement effect calculation unit 185 supplies the calculated advertisement placement evaluation to the recommendation unit 190. Further, the advertisement effect calculation unit 185 may supply the calculated advertisement placement evaluation to the output unit 195 and cause the output unit 195 to output the table including the calculation result of the advertisement placement evaluation for each broadcasting station 26 illustrated in FIG. 12.

Next, in S<b>189, the recommendation unit 190 creates a proposal for an advertisement placement plan based on the advertisement placement evaluation for each broadcast station 26 and the advertisement placement cost for each broadcast station 26. For example, the recommendation unit 190 calculates a cost performance value by dividing the advertisement placement evaluation of each broadcasting station 26 by the advertisement placement unit price of each broadcasting station 26, and gives a predetermined budget to the broadcasting station 26 having a larger value. A proposal for a distribution plan that allocates distribution of advertisements may be created. In addition, for example, the recommendation unit 190 may create a proposal for a submission plan that allocates a predetermined budget to the broadcasting station 26 having the highest cost performance value. The recommendation unit 190 may supply the generated proposal to the output unit 195 and cause the output unit 195 to output the proposal.

FIG. 13 shows an example of the processing of S190 by the device 100 according to this embodiment. The apparatus 100 may execute the process of S190 by performing the processes of S192 to S196 of FIG. First, in S192, the condition input unit 110 inputs the designation of an advertisement (for example, an advertisement for wine a) related to one purchase target incidental to the broadcast information. The condition input unit 110 provides the advertisement effect calculation unit 185.

Next, in S194, the advertisement effect calculation unit 185 calculates the advertisement effect of the advertisement specified in S192. For example, the advertisement effect calculation unit 185 determines, among the plurality of target persons, the average purchase price by the target persons who have purchased the one purchase target after viewing the advertisement related to the one purchase target, and one of the plurality of target persons. The advertisement effect of the advertisement related to the one purchase target is calculated based on the average purchase price by the target person who purchased the one purchase target without viewing the advertisement related to the purchase target.

As an example, the advertisement effect calculation unit 185 acquires the purchase history of the target person who purchased the one purchase target from the purchase history database 44. Next, the advertisement effect calculation unit 185 uses the purchase ID and the like to acquire the usage history including the same target person as the target person included in the purchase history from the usage history database 52.

Then, the advertisement effect calculation unit 185 uses the acquired usage history to view or presumably watch the advertisement related to the one purchase target, and not to watch or view the advertisement related to the one purchase target. Classify into usage history that is not estimated. The advertisement effect calculation unit 185 executes the classification by determining whether the content viewing/listening presence/absence information in the broadcast information included in the usage history indicates viewing/listening of the advertisement related to the one purchase target. Good.

Next, the advertisement effect calculation unit 185 purchases the purchase amount of one purchase target in one or a plurality of purchase histories having a purchase ID in the usage history in which the advertisement related to the one purchase target has been viewed or is estimated to have been viewed. Is calculated as the average viewing purchase price. Similarly, the advertisement effect calculation unit 185 does not view the advertisement related to the one purchase target, or purchases one purchase history in one or a plurality of purchase histories having the purchase ID in the usage history estimated to be not viewed. The average of the target purchase prices is calculated as the unviewed average purchase price. Then, the advertisement effect calculation unit 185 may calculate the ratio of the viewing average purchase price to the unviewed average purchase price as the advertisement effect of the advertisement related to one purchase target.

Accordingly, the advertisement effect calculation unit 185 can estimate how much the sales promotion effect of the one purchase target was due to the advertisement related to the one purchase target. The advertising effect calculation unit 185 calculates the advertising effect by using the average of the number of purchases of one purchase target per purchase/within a predetermined period, instead of using the average purchase price of one purchase target. You may. In addition, the advertisement effect calculation unit 185 determines the purchase rate of the one purchase target of the target person who has viewed the advertisement related to the one purchase target (that is, the number of target users who have purchased after viewing the advertisement/the total viewing amount of the advertisement). Number of target people) and the purchase rate of the target people who have not viewed the advertisement related to the one purchase target (that is, the number of target people who have purchased the advertisement without viewing/all the target people who have not viewed the advertisement) The advertising effect may be calculated based on the difference or ratio with the number. The advertising effect calculation unit 185 may allow the history management server 46 and/or the usage management server 50 to share at least a part of the processing content of S194.

Next, in step S196, the advertisement effect calculation unit 185 calculates the advertisement placement efficiency based on the advertisement effect calculated in step S194 and the total number of usage rates of the plurality of reference persons of the broadcast information attached to the advertisement. For example, the advertisement effect calculation unit 185 calculates the advertisement effect of the advertisement related to the one purchase target calculated in S194 as the total number of usage rates of a plurality of reference persons of the broadcast information attached to the advertisement (for example, GRP of the advertisement). The placement efficiency may be calculated by dividing by. The advertising effect calculation unit 185 may supply the calculated result to the output unit 195 and cause the output unit 195 to output the result.

In this way, by executing the processing of S110 to S190, the apparatus 100 determines which television set the target person having a specific purchase history is based on, for example, the purchase history of products and the viewing history of TV programs. It is possible to specify whether or not the program has a viewing tendency, and it is possible to evaluate the television broadcasting station from the viewpoint of the advertising effect. Furthermore, according to the device 100, it is possible to calculate the influence of a specific advertisement on the purchase of the product etc. related to the advertisement and the efficiency of placing the advertisement.

FIG. 14 shows an example of calculation results of the live viewing ratio and the recorded viewing ratio. In addition to the processing of S110 to S190, the ratio calculation unit 130, based on the usage history of the target person who satisfies the specified condition, the target person who satisfies the specified condition views the live viewing rate of the live viewing of the television program and the recorded viewing. You may calculate the recording viewing ratio.

For example, as shown in FIG. 14, the ratio calculation unit 130 may display the TV program of the target person who satisfies the specified condition on the basis of the information indicating the type of live viewing or recorded viewing included in the usage history of the target person who satisfies the specified condition. The live viewing ratio and the recording viewing ratio of the main part may be calculated, and the live viewing ratio and the recording viewing ratio of the TV CM of the TV program of the target person who satisfies the specified condition may be calculated. The ratio calculation unit 130 may calculate a live viewing ratio and a recorded viewing ratio in the entire TV program of the target person who satisfies the specified condition. Further, the ratio calculation unit 130 may calculate the CM viewing ratio with respect to the usage ratio of the main part in live viewing/recording viewing as the CM watching ratio.

The ratio calculation unit 130 may supply the calculation result to the output unit 195 and cause the output unit 195 to output the calculation result. Accordingly, the ratio calculation unit 130 can present the extent to which the TV CM reaches the target person in each of live viewing and recorded viewing in a specific TV program or the like.

Further, the ratio calculation unit 130 may calculate, for each time period, a live viewing ratio in which a target person who satisfies a specified condition views a television program live, a recording viewing ratio in which recording and viewing is performed, and/or a CM watching ratio. Then, the ratio calculation unit 130 may supply the calculation result for each time period to the output unit 195 and cause the output unit 195 to display the calculation result in a graph or the like. Thereby, the apparatus 100 can present the change depending on the time period in which the television CM reaches the target person.

FIG. 15 shows an example of a usage rate of a target person who satisfies a specified condition for each period. In addition to the processing of S110 to S190, the ratio calculation unit 130 calculates the use ratio of each broadcast information used by the target person who satisfies the specified condition for each period (for example, one day, one week, or one month). You can

For example, as shown in FIG. 15, the ratio calculation unit 130 sets the usage ratio of the specific broadcast information by the target person who purchased the product A and the usage ratio of the specific broadcast information by the target person who purchased the product B for one week. It may be calculated for each and supplied to the output unit 195 for display in a comparable manner. As a result, the device 100 compares the usage ratios (that is, the audience rating of a specific TV program, etc.) between the purchasers of the product of the specific advertiser and the purchasers of the competing products that are subject to different specified conditions. , The results can be provided.

FIG. 16 shows an example of the configuration of the computer 1900 according to this embodiment. The computer 1900 according to this embodiment functions as the device 100. In addition to this, a computer connected to the network 22 as the usage management server 50 and/or the viewing device 20, and a computer connected to the network 42 as the store terminal 40 and/or the history management server 46 have the same configuration as the computer 1900. May be taken.

The computer 1900 according to this embodiment is connected to the host controller 2082 by an input/output controller 2084 and a CPU peripheral unit having a CPU 2000, a RAM 2020, a graphic controller 2075, and a display device 2080 which are mutually connected by a host controller 2082. An input/output unit having a communication interface 2030, a hard disk drive 2040, and a DVD drive 2060, and a legacy input/output unit having a ROM 2010 connected to the input/output controller 2084, a flash memory drive 2050, and an input/output chip 2070. ..

The host controller 2082 connects the RAM 2020 to the CPU 2000 and the graphic controller 2075 that access the RAM 2020 at a high transfer rate. The CPU 2000 operates based on the programs stored in the ROM 2010 and the RAM 2020, and controls each part. The graphic controller 2075 acquires image data generated by the CPU 2000 or the like on a frame buffer provided in the RAM 2020 and displays it on the display device 2080. Instead of this, the graphic controller 2075 may internally include a frame buffer that stores image data generated by the CPU 2000 or the like.

The input/output controller 2084 connects the host controller 2082 to the communication interface 2030, hard disk drive 2040, and DVD drive 2060, which are relatively high-speed input/output devices. The communication interface 2030 communicates with other devices via a network by wire or wirelessly. Further, the communication interface functions as hardware that performs communication. The hard disk drive 2040 stores programs and data used by the CPU 2000 in the computer 1900. The DVD drive 2060 reads a program or data from the DVD 2095 and provides it to the hard disk drive 2040 via the RAM 2020.

Further, the ROM 2010, the flash memory drive 2050, and the input/output chip 2070, which are relatively low-speed input/output devices, are connected to the input/output controller 2084. The ROM 2010 stores a boot program executed by the computer 1900 at startup, and/or a program dependent on the hardware of the computer 1900. The flash memory drive 2050 reads a program or data from the flash memory 2090 and provides it to the hard disk drive 2040 via the RAM 2020. The input/output chip 2070 connects the flash memory drive 2050 to the input/output controller 2084, and inputs/outputs various input/output devices via, for example, a parallel port, a serial port, a keyboard port, a mouse port, or the like. Connect to controller 2084.

The program provided to the hard disk drive 2040 via the RAM 2020 is stored in a recording medium such as a flash memory 2090, a DVD 2095, or an IC card and provided by the user. The program is read from the recording medium, installed in the hard disk drive 2040 in the computer 1900 via the RAM 2020, and executed by the CPU 2000.

The program installed in the computer 1900 and causing the computer 1900 to function as at least a part of the apparatus 100 includes a condition input module, a history acquisition module, a ratio calculation module, a specific module, a submission acquisition module, a priority determination module, an aggregation module, and an advertising effect. At least one of a calculation module, a recommendation module, and an output module is provided. These programs or modules work on the CPU 2000 or the like to cause the computer 1900 to operate the condition input unit 110, the history acquisition unit 120, the ratio calculation unit 130, the specification unit 140, the submission acquisition unit 160, the priority determination unit 170, the aggregation unit 180. The advertisement effect calculation unit 185, the recommendation unit 190, and the output unit 195 may function.

When the information processing described in these programs is read by the computer 1900, it acts on the CPU 2000 or the like, which is a specific means in which software and the various hardware resources described above cooperate with each other, and causes the computer 1900 to operate under conditions. Functions as the input unit 110, the history acquisition unit 120, the ratio calculation unit 130, the specification unit 140, the submission acquisition unit 160, the priority determination unit 170, the aggregation unit 180, the advertisement effect calculation unit 185, the recommendation unit 190, and the output unit 195. To do. Then, by implementing the calculation or processing of information according to the purpose of use of the computer 1900 in the present embodiment by these specific means, the unique device 100 according to the purpose of use is constructed.

As an example, when performing communication between the computer 1900 and an external device or the like, the CPU 2000 executes the communication program loaded on the RAM 2020, and based on the processing content described in the communication program, the communication interface. It instructs the communication process to 2030. Under the control of the CPU 2000, the communication interface 2030 reads out the transmission data stored in the transmission buffer area or the like provided on the storage device such as the RAM 2020, the hard disk drive 2040, the flash memory 2090, or the DVD 2095 and transmits it to the network. Alternatively, the received data received from the network is written to the reception buffer area or the like provided on the storage device. As described above, the communication interface 2030 may transfer the transmission/reception data to/from the storage device by the DMA (Direct Memory Access) method. Instead, the CPU 2000 transfers the storage device or the communication interface 2030 of the transfer source. The transmission/reception data may be transferred by reading the data from the device and writing the data to the transfer destination communication interface 2030 or the storage device.

In addition, the CPU 2000 DMAs all or necessary portions from files or databases stored in an external storage device such as a hard disk drive 2040, a DVD drive 2060 (DVD2095), a flash memory drive 2050 (flash memory 2090). The data is read into the RAM 2020 by transfer or the like, and various processing is performed on the data in the RAM 2020. Then, the CPU 2000 writes the processed data back to the external storage device by DMA transfer or the like. In such a process, the RAM 2020 can be regarded as temporarily holding the contents of the external storage device, and thus the RAM 2020, the external storage device, and the like are collectively referred to as a memory, a storage unit, a storage device, or the like in this embodiment.

For example, the storage unit of the device 100 includes the condition input unit 110, the history acquisition unit 120, the ratio calculation unit 130, the specification unit 140, the submission acquisition unit 160, the priority determination unit 170, the aggregation unit 180, the advertisement effect calculation unit 185, and the recommendation. Data received from and/or provided to the section 190 and the output section 195 may be stored as appropriate. For example, the storage unit may receive and store the specified condition that the condition input unit 110 supplies to the history acquisition unit 120. In addition, the storage unit may store the aggregation result and the like calculated by the aggregation unit 180 and the like.

Various information such as various programs, data, tables, and databases in the present embodiment is stored in such a storage device and is a target of information processing. Note that the CPU 2000 can also hold part of the RAM 2020 in the cache memory and read/write on the cache memory. Even in such a form, the cache memory plays a part of the function of the RAM 2020. Therefore, in the present embodiment, the cache memory is also included in the RAM 2020, the memory, and/or the storage device unless otherwise indicated. To do.

Further, the CPU 2000 performs various operations described in the present embodiment on the data read from the RAM 2020, which is designated by the instruction sequence of the program, including information processing, condition determination, information search/replacement, and the like. Process and write back to the RAM 2020. For example, when the condition determination is performed, the CPU 2000 determines whether or not the various variables shown in the present embodiment satisfy a condition of being larger, smaller, above, below, or equal to other variables or constants. If the condition is satisfied (or not satisfied), a branch is made to a different instruction sequence or a subroutine is called.

Further, the CPU 2000 can search for information stored in a file in the storage device, a database, or the like. For example, when a plurality of entries in which the attribute values of the second attribute are associated with the attribute values of the first attribute are stored in the storage device, the CPU 2000 determines that the entries of the plurality of entries are stored in the storage device. Corresponding to the first attribute satisfying a predetermined condition by searching an entry in which the attribute value of the first attribute matches the specified condition and reading the attribute value of the second attribute stored in the entry. The attribute value of the obtained second attribute can be obtained.

Further, when a plurality of elements are listed in the description of the embodiment, elements other than the listed elements may be used. For example, when it is described that “X executes Y using A, B and C”, X may execute Y using D, in addition to A, B and C.

Although the present invention has been described using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is apparent to those skilled in the art that various changes or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

The execution order of each process such as the operation, procedure, step, and step in the devices, systems, programs, and methods shown in the claims, the specification, and the drawings is "preceding" or "prior to". It should be noted that the output of the previous process can be realized in any order unless the output of the previous process is used in the subsequent process. Even if the operation flow in the claims, the description, and the drawings is described by using “first,” “next,” and the like for convenience, it means that it is essential to carry out in this order. Not a thing.

10 system 20 viewing device 22 network 26 broadcast station 28 broadcast information database 40 store terminal 42 network 44 purchase history database 46 history management server 50 usage management server 52 usage history database 100 device 110 condition input unit 120 history acquisition unit 130 ratio calculation unit 140 Specific unit 160 Advertisement acquisition unit 170 Priority determination unit 180 Aggregation unit 190 Recommendation unit 195 Output unit 1900 Computer 2000 CPU
2010 ROM
2020 RAM
2030 communication interface 2040 hard disk drive 2050 flash memory drive 2060 DVD drive 2070 input/output chip 2075 graphic controller 2080 display device 2082 host controller 2084 input/output controller 2090 flash memory 2095 DVD

Claims (18)

A condition input section for inputting specified conditions for specifying a part of a plurality of target persons,
A history acquisition unit that acquires a usage history of broadcast information by a target person who satisfies the specified condition among the plurality of target persons,
A target unit that satisfies the specified condition, with respect to a plurality of reference persons to be compared, a specifying unit that specifies a broadcast time zone of the broadcast information to be used with different usage tendencies.
An output unit that outputs the time zone identified by the identification unit in a distinguishable manner,
Bei to give a,
The designated condition includes, as at least a part, that the target person has purchased a specific purchase target,
apparatus. Further comprising a ratio calculation unit that calculates a usage ratio in which the target person who satisfies the specified condition uses the broadcast information,
The specifying unit specifies a broadcast time zone of the broadcast information used by the target person who satisfies the specified condition with respect to the plurality of reference persons at different usage rates,
The device according to claim 1. The history acquisition unit, you get the purchase history of the purchase target by the plurality of subjects,
The device according to claim 2. At least, among the plurality of target persons, based on the average number of purchases by the target persons or the number of target persons who purchased the one purchase target after viewing the advertisement related to the one purchase target incidental to the broadcast information, Further comprising an advertisement effect calculation unit that calculates an advertisement effect of the advertisement related to the one purchase target,
The output unit outputs the advertisement effect,
The device according to claim 3. The advertisement effect calculation unit calculates the advertisement efficiency of the advertisement based on the advertisement effect and the total number of usage rates of a plurality of reference persons of the broadcast information attached to the advertisement,
The output unit outputs the submission efficiency,
The device according to claim 4. The condition input unit inputs an attribute that the target person should have as at least a part of the specified condition,
The device according to claim 5. The specifying unit specifies a broadcast time zone of the broadcast information that a target person who satisfies the specified condition uses more than a predetermined reference with respect to the plurality of reference persons,
The output unit outputs a table including a plurality of time zones and displays the specified time zone in the table in a distinguishable manner,
The device according to claim 6. The specifying unit includes the broadcast information in which the usage ratio by the plurality of reference persons is higher than a predetermined reference, and the usage ratio of the target person who satisfies the specified condition is higher than the usage ratio by the plurality of reference persons. The time zone of the broadcast of
The output unit outputs a table including a plurality of time zones and displays the specified time zone in the table in a distinguishable manner,
The device according to claim 6. The history acquisition unit acquires, as a usage history of the broadcast information, a viewing history of a television program of a target person who satisfies the specified condition among the plurality of target persons.
The device according to claim 7 or 8. The ratio calculation unit calculates a live viewing ratio in which the target person who satisfies the specified condition views the television program live, and a recording viewing ratio in which recording and viewing are performed,
The output unit outputs the live viewing ratio and the recording viewing ratio for each time period,
The device according to claim 9. Further provided with a placement acquisition unit that acquires at least one of the number of placements of a predetermined advertisement attached to the television program and a placement ratio of a predetermined advertisement placement frame for each time period,
The output unit outputs, for each of the time periods, at least one of the predetermined advertisement number and the predetermined advertisement ratio with respect to the advertisement frame.
The device according to claim 10. Priority for determining the priority of advertisement placement for each of the plurality of time periods based on the usage rate of the television program by the plurality of reference persons and the usage rate of the television program by the target person who satisfies the specified condition. Further comprising a decision unit,
The device according to claim 11. For each of the priorities, a totaling unit for totaling the number of advertisements of the predetermined advertisement for television programs viewed in a time period to which the priority is assigned,
Further equipped with,
The output unit outputs at least one of the number of submitted advertisements and the submitted proportion for each of the priorities that have been aggregated,
The device according to claim 12. The advertisement effect calculation unit calculates an advertisement placement evaluation for each television broadcasting station based on the number of placements of the predetermined advertisement for each television broadcasting station and the priority.
The device according to claim 13. A recommendation unit that creates a proposal for an advertisement placement plan based on the advertisement placement evaluation for each television station and the advertisement placement cost for each television station;
The device according to claim 14. The ratio calculation unit calculates, for each period, a use ratio in which a target person who satisfies the specified condition uses the broadcast information,
The output unit outputs the calculated usage rate for each period,
Device according to any one of claims 2 to 15. A computer implemented method comprising:
A condition input step of inputting specified conditions for specifying a part of the plurality of target people,
A history acquisition step of acquiring a usage history of broadcast information by a target person who satisfies the specified condition among the plurality of target persons;
A specifying step in which a target person who satisfies the specified condition specifies a broadcast time zone of the broadcast information to be used with different usage tendencies with respect to a plurality of reference persons to be compared,
An output step for identifiably outputting the time zone specified in the specific step,
Bei to give a,
The specified condition includes, as at least a part, that the target person has purchased a specific purchase target,
Method. The computer when run,
A condition input section for inputting specified conditions for specifying a part of a plurality of target persons,
A history acquisition unit that acquires a usage history of broadcast information by a target person who satisfies the specified condition among the plurality of target persons,
A target unit that satisfies the specified condition, with respect to a plurality of reference persons to be compared, a specifying unit that specifies a broadcast time zone of the broadcast information to be used with different usage tendencies.
An output unit that outputs the time zone identified by the identification unit in a distinguishable manner,
Function as
The specified condition includes, as at least a part, that the target person has purchased a specific purchase target,
program.

Images