JP6975355B1 - Information processing system, information processing method, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique capable of supporting the sale of a broadcasting frame. SOLUTION: In a system 10 according to one aspect of the present disclosure, a process relating to at least one broadcast frame for broadcasting a video for the purpose of appealing to a viewer in television broadcasting is executed. Specifically, information that can discriminate the appeal effect for each viewer attribute in the above at least one broadcast frame is acquired. Information on the target attribute, which is the viewer attribute of the appeal target of each of the plurality of sales target persons who are the sales destination candidates of at least one broadcast frame, is acquired. A broadcast slot sales destination is selected from multiple sales targets based on the target attributes of each of the multiple sales targets and the appeal effect of each viewer attribute, or sales to each of the multiple sales targets. Conditions are set. [Selection diagram] Fig. 1

Description

The present disclosure relates to information processing systems and methods.

Commercials (CM) that are broadcast on television (TV) include commercials whose advertisers are program sponsors, as well as within the broadcasting frame set by the broadcasting station regardless of the program sponsor, for example, between programs. The spot CM to be broadcast is included in the time zone.

Spot commercials are generally sold to advertisers through advertising agencies. Based on the request from the advertiser, the advertising agency purchases a broadcast slot for spot CM from a broadcasting station and sells the broadcast slot to the requesting advertiser.

In addition, a technique for selling advertising space in Internet broadcasting using a web page published on the Internet is already known (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2001-351005

As a method of selling advertisements, it is known that an advertising agency purchases one or more broadcasting slots from a broadcasting station, then proposes to the customer to purchase the purchased broadcasting slots, and sells the broadcasting slots to the customer. Has been done. Such a sales method requires the sales force of the sales person.

Therefore, according to one aspect of the present disclosure, it is desirable to be able to provide a technology capable of supporting the sale of broadcast slots.

The information processing system according to one aspect of the present disclosure includes a first acquisition unit, a second acquisition unit, and a selection unit. The first acquisition department is an appeal for each viewer attribute by broadcasting video in at least one broadcast frame for broadcasting video for the purpose of appealing to viewers, which is at least one broadcast frame in television broadcasting. It is configured to acquire effect information that can determine the effect.

The second acquisition unit is configured to acquire information on the target attribute, which is the viewer attribute of the appeal target of each of the plurality of sales target persons who are the sales destination candidates of at least one broadcast frame. The selection unit is configured to select the sales destination of the broadcast frame from the plurality of sales target persons based on the target attributes of each of the plurality of sales target persons and the effect information.

Depending on the selection of the sales destination by the information processing by the information processing system, it is possible to support the sales of the broadcasting frame by the seller. According to one aspect of the present disclosure, information on the selected seller may be output.

According to one aspect of the present disclosure, when the selection unit broadcasts a video corresponding to each of the plurality of sales targets in the broadcast frame based on the target attributes of each of the plurality of sales targets and the effect information. It may be configured to determine the appeal effect and select the sales destination of the broadcast frame from the plurality of sales target persons based on the appeal effect of each of the plurality of sales target persons.

According to one aspect of the present disclosure, at least one broadcast slot may be a plurality of broadcast slots. As the effect information, the first acquisition unit may acquire information capable of discriminating the appeal effect for each viewer attribute for each of the plurality of broadcast frames. The selection unit selects the sales destinations of the plurality of broadcast slots based on the target attributes of each of the plurality of sales targets and the appeal effect of each viewer attribute for each of the plurality of broadcast slots determined from the effect information. You can choose from multiple sellers.

According to one aspect of the present disclosure, the selection unit determines, for each of the plurality of broadcast slots, the appealing effect when the video corresponding to each of the plurality of sellers is broadcast in the corresponding broadcast slot, and the plurality of broadcast slots. Based on the appeal effect of each of the plurality of sales target persons regarding each of the broadcast slots, each sales destination of the plurality of broadcast slots may be selected from the plurality of sales target persons.

According to one aspect of the present disclosure, the selection unit allocates two or more broadcast slots for each seller to at least a part of the plurality of sellers, and further, the broadcast time of two or more broadcast slots. You may select each sales destination of a plurality of broadcast slots so that the variation of the band becomes more than the standard.

According to one aspect of the present disclosure, the information processing system may include a setting unit that sets the sales conditions of the broadcast frame for each target attribute based on the appeal effect for each viewer attribute. The information processing system may include an output unit that outputs information indicating the sales conditions set by the setting unit for the target attribute of the sales destination as the sales conditions presented to the sales destination. The selling conditions may include the selling price.

According to one aspect of the present disclosure, the information processing system includes a setting unit that sets the selling price of each of a plurality of broadcast slots for each target attribute based on the appeal effect of each viewer attribute of the corresponding broadcast slot. You may. The selection unit may be configured to select each sales destination of a plurality of broadcasting slots in consideration of the selling price set by the setting unit.

According to one aspect of the present disclosure, the information processing system, instead of the above selection unit, is based on the target attributes of each of the plurality of sales targets and the appealing effect of each viewer attribute determined from the effect information. It may be provided with a setting unit configured to set the sales conditions of the broadcast frame for each of a plurality of sales target persons.

According to one aspect of the present disclosure, even if the first acquisition unit is configured to acquire information representing the viewing amount for each viewer attribute by broadcasting video in at least one broadcast frame as effect information. good.

According to one aspect of the present disclosure, the first acquisition unit may acquire information representing the audience rating for each viewer attribute in the corresponding broadcast frame as the viewing amount for each viewer attribute. According to one aspect of the present disclosure, at least one broadcast slot may include at least one spot CM broadcast slot.

According to one aspect of the present disclosure, it is an appealing effect of broadcasting a video in a plurality of broadcasting frames for broadcasting a video intended to appeal to a viewer in television broadcasting, and is a type of appealing purpose. The first acquisition unit, which is configured to acquire the first information that can determine the appeal effect of each, and the first that can determine the appeal purpose of each of a plurality of sales target persons who are candidates for sales of a plurality of broadcasting slots. (Ii) The second acquisition unit configured to acquire information, the purpose of appealing each of the multiple sales target persons determined from the second information, and the purpose of appealing in multiple broadcasting slots determined from the first information. An information processing system may be provided including a selection unit configured to select a sales destination of each of a plurality of broadcast slots from a plurality of sales target persons based on the appeal effect of each type. ..

According to one aspect of the present disclosure, it is an appealing effect of broadcasting a video in a plurality of broadcasting frames for broadcasting a video intended to appeal to a viewer in television broadcasting, and is a type of appealing purpose. The first acquisition unit, which is configured to acquire the first information that can determine the appeal effect of each, and the first that can determine the appeal purpose of each of the plurality of sales target persons who are candidates for sales of a plurality of broadcasting slots. (Ii) The second acquisition unit configured to acquire information, the purpose of appealing each of the plurality of sellers determined from the second information, and the purpose of appealing in multiple broadcast slots determined from the first information. An information processing system may be provided that includes a setting unit configured to set sales conditions for broadcast slots for each of a plurality of sales target persons based on the appeal effect of each type.

According to one aspect of the present disclosure, the first acquisition unit is configured to acquire the first information capable of discriminating the appealing effect for each type of product for appealing purposes as the appealing effect for each type of appealing purpose. May be good.

According to one aspect of the present disclosure, a computer program may be provided for realizing at least a part of the functions in the above-mentioned information processing system on a computer. According to one aspect of the present disclosure, a computer program for operating a computer may be provided as a first acquisition unit, a second acquisition unit, and a selection unit in the above-mentioned information processing system.

According to one aspect of the present disclosure, a computer program for operating a computer may be provided as a first acquisition unit, a second acquisition unit, and a setting unit in the above-mentioned information processing system.

According to one aspect of the present disclosure, information processing methods may be provided that include procedures performed by the information processing system described above. According to one aspect of the present disclosure, an information processing method executed by a computer, which is an image in at least one broadcasting frame for broadcasting an image for the purpose of appealing to a viewer in television broadcasting. Acquiring effect information that can determine the appealing effect of each viewer attribute of the broadcast, and targeting the viewer attribute of each of the multiple sales target people who are candidates for sales of at least one broadcast slot. Sales of broadcast slots from multiple sales target users based on the acquisition of attribute information, the target attributes of each of the multiple sales target users, and the appeal effect of each viewer attribute determined from the effect information. Information processing methods may be provided that include selecting a destination.

According to one aspect of the present disclosure, the information processing method sets the sales conditions of the broadcast frame for each of the plurality of sales target persons in place of the above selection or in addition to the above selection. May include doing. The setting is to set the sales conditions of the broadcast frame for each of the plurality of sales targets based on the target attributes of each of the plurality of sales targets and the appeal effect of each viewer attribute determined from the effect information. It may include that.

According to one aspect of the present disclosure, an information processing method executed by a computer, in which video is broadcast in a plurality of broadcast frames for broadcasting video for the purpose of appealing to viewers in television broadcasting. Obtaining the first information that can determine the appealing effect for each type of appealing purpose, which is the appealing effect of broadcasting, and the appealing purpose of each of the multiple sales target persons who are candidates for sales of multiple broadcasting slots. For each type of acquisition of the second information that can be discriminated, the appealing purpose of each of the plurality of sales targets determined from the second information, and the appealing purpose in the plurality of broadcasting frames determined from the first information. An information processing method including selecting a sales destination of each of a plurality of broadcast slots from a plurality of sales target persons based on the appeal effect may be provided.

According to one aspect of the present disclosure, the information processing method is determined in place of or in addition to the above selection, from the respective appealing purposes of the plurality of sellers and the first information. It may include setting the selling conditions of the broadcasting frame to each of the plurality of sales target persons based on the appealing effect for each type of the appealing purpose in the plurality of broadcasting frames.

It is explanatory drawing about the use example of the information processing system which concerns on the exemplary embodiment of this disclosure. It is a block diagram which shows the structure of an information processing system. It is a figure which shows the structure of the audience rating time series data. It is a figure which shows the structure of the analysis target data. It is a flowchart which shows the 1st sales support process which a processor executes. It is a flowchart which shows the 2nd sales support process which a processor executes. It is a figure which shows the structure of the effect explanation data used in 2nd Embodiment. It is a flowchart which shows the search process which a processor executes in 3rd Embodiment. It is a figure which shows the structure of the effect analysis data in 4th Embodiment. It is a flowchart which shows the 3rd sales support process which a processor executes in 4th Embodiment.

An exemplary embodiment of the present disclosure will be described below with reference to the drawings.
[First Embodiment]
As shown in FIG. 1, the information processing system 10 of the present embodiment purchases a plurality of broadcast frame BFs in television broadcasting from one or more television broadcasting stations, and sells the purchased plurality of broadcast frame BFs to customers. It is configured as a system for companies.

The purchase of a broadcast slot BF corresponds to the purchase of the right to broadcast video in the corresponding broadcast slot BF. The broadcast frame BF is determined by the broadcast channel and the broadcast date and time. The broadcast frame BF handled in this embodiment is a broadcast for broadcasting a video for the purpose of appealing to viewers corresponding to consumers, such as commercials (CM) and mail-order programs (hereinafter referred to as mail-order programs). It is a frame. Examples of this broadcast frame BF include a spot CM broadcast frame and a mail-order program frame.

In the following, for the sake of simplicity, it is assumed that the broadcast frame BF is a spot CM broadcast frame. However, the technique of the present disclosure is not limited to those dealing with spot CM broadcast frames. For example, the broadcast frame BF described below may be understood as a mail-order program frame.

The information processing system 10 is configured to provide the user with information for supporting the sale of the broadcast frame BF. As shown in FIG. 2, the information processing system 10 includes a processor 11, a memory 12, a storage 13, an input device 15, a display device 17, and a communication device 19.

The processor 11 executes a process according to a computer program stored in the storage 13. The memory 12 is used as a working memory when processing is executed by the processor 11. The storage 13 is an auxiliary storage device such as a hard disk drive and a solid state drive, and stores various data to be processed by the processor 11 in addition to a computer program.

The input device 15 includes an operation device that receives an operation from the user and inputs the operation signal. Examples of operating devices include keyboards and mice. The input device 15 may further be understood to include a configuration for receiving data provided by the user through a recording medium such as a USB memory.

The display device 17 is configured to display information for the user. Examples of the display device 17 include a liquid crystal display and an organic EL display. The communication device 19 is configured to be able to communicate with an external device connected to a wide area network.

Examples of the external device include a server device 30 that provides viewing analysis data DA including audience rating information in television broadcasting. The server device 30 may be a server device that stores the viewing analysis data DA provided by a company that conducts a viewing survey using, for example, a people meter.

The viewing analysis data DA has, for example, viewing rate time-series data for each broadcasting channel, as shown in FIG. The audience rating time-series data has information on the viewing distribution of the corresponding broadcast channel and the video broadcast on the broadcast date and time for each broadcast date and time in association with the broadcast date and time information. The viewing distribution information is the audience rating information for each viewer attribute. As described above, the audience rating time-series data has the audience rating time-series data for each viewer attribute.

The viewer attribute may be a viewer attribute (demographic attribute) defined by a combination of gender and age group, for example, a male in his thirties, a female in his twenties, and the like. The method of defining consumer attributes by dividing into M1 layer, M2 layer, M3 layer, F1 layer, F2 layer, F3 layer, C layer, T layer and the like is well known especially in the advertising industry. The viewer attribute can be an attribute that follows this consumer attribute.

The information processing system 10 operates so as to sequentially acquire the viewing analysis data DA from the server device 30 and store it in the storage 13. Further, the information processing system 10 receives an input of the analysis target data DS from the user through the input device 15 and stores the analysis target data DS in the storage 13 for sales support of the broadcast frame BF.

As shown in FIG. 4, the analysis target data DS includes purchase data DS1, sales destination candidate data DS2, and condition data DS3. The purchase data DS1 has broadcast frame data DS11 for explaining the broadcast frame BF for each of the plurality of purchased broadcast frame BFs. Each broadcast frame data DS11 has information on a broadcast channel and a broadcast date and time. The broadcast frame BF is defined by a combination of a broadcast channel and a broadcast date and time.

The sales destination candidate data DS2 describes information on the target attribute, which is the attribute of the viewer to be appealed, which the customer intends to appeal by the spot CM, in association with the identification information of the customer who is the candidate for each sales destination candidate. .. The sales destination candidate data DS2 may have the attribute information of the product or service advertised by the corresponding customer by the spot CM for each sales destination candidate. In the following, the attributes of goods or services are referred to as goods / services attributes. When one customer has a plurality of product brands, it is conceivable to sell the broadcast frame BF for each product brand. Therefore, each of the plurality of product brands owned by one customer may be defined as individual sales destination candidates.

The condition data DS3 has constraint condition data DS31 and sales condition data DS32. The constraint condition data DS31 is data that defines a constraint condition regarding allocation when a sales destination is selected by allocating a sales destination candidate to a plurality of broadcast frame BFs.

For example, an advertiser rarely wants CM broadcasting only on a specific day of the week or time zone such as Monday or only in the morning, and often wants CM broadcasting on distributed dates and times. Furthermore, each advertiser often has a minimum amount of advertisements. The constraint condition data DS31 is prepared for the purpose of defining the constraint condition regarding the allocation for realizing the allocation of the broadcast frame BF according to the needs of such a sales destination candidate. The constraint condition data DS31 can have information such as a minimum amount of advertisements, a desired broadcast day / time zone, and a degree of dispersion of broadcast slots for each candidate for sale destination.

The sales condition data DS32 is data that defines a rule for calculating a selling price as a selling condition presented to a sales destination. According to the present embodiment, the selling price is determined by the relationship between the target attribute of the sales destination candidate and the viewing distribution of the broadcast frame BF. The sales condition data DS32 is used to set a selling price according to such a relationship.

According to one example, the selling price can be determined as a value Z = K * EA obtained by multiplying the estimated audience rating EA of the same viewer attribute as the target attribute of the selling destination in the broadcast frame BF to be sold by the price coefficient K. According to this example, the sales condition data DS32 has information on the price coefficient K.

The estimated audience rating EA may be the average audience rating in the past predetermined period in the past broadcast frame on the same day and time as the broadcast frame BF to be sold. For example, the estimated audience rating EA for a broadcast slot BF can be the average audience rating for the previous four weeks on the same day and time. The average audience rating can be determined from the audience rating data DA provided by the server device 30.

Subsequently, the first sales support process executed by the processor 11 will be described with reference to FIG. The first sales support process is executed by the processor 11 when the user inputs an execution instruction for the first sales support process through the input device 15.

When the first sales support process is started, the processor 11 reads the analysis target data DS designated together with the execution instruction from the storage 13 (S110). After that, the processor 11 refers to the purchase data DS1 possessed by the read-out analysis target data DS, and refers to the audience rating X [n] (n = 1, 2, 2, for each viewer attribute of each purchased broadcast frame BF. ..., N) is determined (S120). X [n] means the audience rating of the viewer attribute n (= 1, 2, ..., N).

The audience rating X [n] determined in S120 is specifically the estimated audience rating EA described above. In order to determine the audience rating X [n], the processor 11 can acquire the latest viewing analysis data DA from the server device 30 through the communication device 19. The processor 11 determines the audience rating X [n] for each viewer attribute based on the audience rating for each of the purchased broadcast slots BF in the past predetermined period of the broadcast slots on the same day of the week and the time. can do.

Further, the processor 11 refers to the sales destination candidate data DS2 possessed by the read analysis target data DS, and determines the target attribute of each sales destination candidate (S130). Further, the processor 11 calculates the effect prediction value Y [m] (m = 1, 2, ..., M) for each sales destination candidate for each purchased broadcast frame BF (S140).

The effect prediction value Y [m] is a prediction of the appeal effect when the sales destination candidate m (= 1, 2, ..., M) broadcasts a commercial for consumers corresponding to the target attribute in the corresponding broadcast frame BF. Corresponds to the value.

According to one example, the effect prediction value Y [m] of the sales destination candidate m for a certain broadcast frame BF is the audience rating X [n] in the broadcast frame BF of the viewer attribute n that matches the target attribute of the sales destination candidate m. It is calculated as a value Y [m] = C · X [n] obtained by multiplying by the appeal effect coefficient C.

Here, for the reader's understanding, the appeal effect coefficient C = 1, that is, the audience rating X [n] of the viewer attribute n whose effect prediction value Y [m] matches the target attribute of the sales destination candidate m. An example will be explained first. An example in which the appeal effect coefficient C is other than the value 1 will be described later.

In S140, as described above, the effect prediction value Y [m] (m = 1, 2, ..., M) for each combination of the broadcast frame BF and the sales destination candidate is calculated. In the subsequent S150, the processor 11 uses this effect prediction value Y [m] (m = 1, 2, ..., M) as an appropriate pattern for allocating sales destination candidates to a plurality of purchased broadcast slot BFs. To explore.

The allocation pattern referred to here is the sales destination assigned to each broadcast frame BF regarding the entire purchased multiple broadcast frame BFs when any one of the plurality of sales destination candidates is assigned to each broadcast frame BF. It means a group of combinations with candidates.

Specifically, the processor 11 searches for an allocation pattern having an appeal effect equal to or higher than the reference within a range satisfying the constraint condition indicated by the constraint condition data DS31 (S150). The allocation pattern to be searched is not limited to one.

According to the first example, the processor 11 assigns a sales destination candidate to the broadcast frame BF for each broadcast frame BF, and the effect prediction value Y [m] in the broadcast frame BF is equal to or higher than the first reference value. Narrow down to potential sales destinations. The processor 11 searches for an allocation pattern that satisfies the constraint conditions for the entire plurality of broadcast frame BFs by selecting only the sales destination candidates narrowed down for each broadcast frame BF.

According to the second example, in the processor 11, only the narrowed-down sales destination candidates are selected, and the total of the effect prediction values Y [m] is equal to or more than the second reference value within the range satisfying the constraint condition. Search for allocation patterns. The total here is a plurality of broadcasts of the effect prediction value Y [m] of each broadcast frame BF regarding the assigned sales destination candidate when the sales destination candidate is temporarily assigned to each broadcast frame BF in the corresponding allocation pattern. It means the total of the entire frame BF.

According to the third example, the processor 11 searches only the narrowed-down sales destination candidates as options, and searches for an allocation pattern having the maximum total of the effect prediction value Y [m] within a range satisfying the constraint condition. .. In this case, only one allocation pattern is searched.

The constraints are as described above. Supplementally, for a sales destination candidate in which a constraint condition regarding the degree of dispersion is described, when two or more broadcasting frame BFs are assigned to this sales destination candidate, the variation in the broadcasting time zone of two or more broadcasting frames may occur. Search for allocation patterns so that they are greater than or equal to the specified degree of dispersion.

For example, if the minimum value of the allocation rate for each time zone of morning, noon, and night is specified as the degree of dispersion, for each time zone for the entire "two or more broadcast slots BF" assigned to the corresponding sales destination candidate. The allocation pattern is searched so that the ratio of the broadcast frame BF of is equal to or more than the specified minimum value.

Similarly, if the lowest value of the allocation rate for each day of the week is specified as the degree of dispersion, the ratio of each day of the week to the "two or more broadcast slots BF" assigned to the corresponding sales destination candidate is specified for the corresponding day of the week. Search for allocation patterns so that they are greater than or equal to the minimum value. The degree of dispersion may be specified by a combination of days of the week and time zones.

After completing the search for the allocation pattern in S150, the processor 11 selects one or more sales destinations of each broadcast frame BF from the sales destination candidates according to the allocation pattern found by the search (S160).

When the allocation pattern is searched according to the first example and the second example, the number of allocation patterns to be searched is usually plural. Therefore, in the entire plurality of allocation patterns, a plurality of sales destination candidates are allocated to each broadcast frame BF.

In this case, the processor 11 can select all or a part of the plurality of assigned sales destination candidates for each broadcast frame BF as the sales destination while ranking them. Ranking may be done to suggest the priority of the seller to the user. By ranking, the user can propose a purchase to a second-ranked seller, for example, if the first-ranked seller does not purchase. The ranking may be performed based on the predicted effect value Y [m] or the selling price of the broadcast frame BF. For example, the expected effect value Y [m] or the sales destination with the highest selling price may be set as the first selling destination.

When the allocation pattern is searched according to the third example, the processor 11 can select one sales destination candidate assigned to each broadcast slot BF as the sales destination.

When the processing in S160 is exceeded, the processor 11 outputs the sales destination information including the identification information of the sales destination selected for each broadcast frame BF (S170). Specifically, the processor 11 can display the sales destination information on the display device 17. The processor 11 can store the sales destination information in the storage 13 (S170). The processor 11 then ends the first sales support process.

In S170, the processor 11 sets the selling price of each broadcasting frame BF based on the target attribute of the selling destination (S171), and presents the selling condition information indicating the selling price to the selling destination. It can be output together with the information (S173).

When the sales destination candidate m is selected as the sales destination for the broadcast frame BF, the processor 11 has a viewer attribute n that matches the target attribute of the sales destination candidate m, and the audience rating X [n] in the broadcast frame BF. ], The value Z = K · X [n] obtained by multiplying the price coefficient K can be set to the selling price Z.

In S171, the processor 11 can execute the process related to this setting for each combination of the broadcast frame BF and the sales destination. In S173, the processor 11 can output the set selling price Z in association with the information of the selling destination regarding the corresponding broadcast frame BF.

The selling price Z may be used in S150 when searching for an allocation pattern. In many cases, each advertiser has an upper limit on the commercial advertising budget. Therefore, it is conceivable that the constraint condition data DS31 has information on the upper limit of the advertising budget as a constraint condition for each sales destination candidate.

In this case, in S150, the processor 11 sets the selling price for each target attribute for each broadcasting frame BF according to the sales condition data DS32, and based on the information of the selling price for each combination of the broadcasting frame BF and the target attribute, the processor 11 sets the selling price for each broadcasting frame BF. For each sales destination candidate, the allocation pattern can be searched under the constraint condition that the total selling price of the broadcast frame BF assigned to the sales destination candidate does not exceed the upper limit of the advertising budget.

According to the first sales support process, the information processing system 10 purchased the broadcast frame BF corresponding to the spot CM so as to enhance the overall appeal effect while considering the audience rating for each viewer attribute. A sales destination can be assigned to each of a plurality of broadcast slots BF. Therefore, it is possible to provide a meaningful broadcast frame BF to a plurality of customers corresponding to the sales destination, and it is possible to enhance customer satisfaction regarding the sale of the broadcast frame BF.

In addition, the processor 11 executes the second sales support process shown in FIG. 6 when the user inputs an execution instruction for the second sales support process through the input device 15. In the second sales support process, the processor 11 first executes the same process as the process of S110-S130 (S210-S210). That is, the processor 11 reads the analysis target data DS designated by the user from the storage 13 (S210), and determines the audience rating X [n] for each viewer attribute of each broadcast frame BF (S220). Further, the processor 11 determines the target attribute of each sales destination candidate (S230).

After that, the processor 11 sets the selling price Z for each target attribute for each broadcast frame BF (S240). The selling price Z can be set based on the audience rating X [n] of the viewer attribute n that matches the target attribute as described above.

Further, the processor 11 calculates the effect prediction value Y [m] for each sales destination candidate for each broadcast frame BF in the same manner as the processing in S140 (S245). After that, the processor 11 accepts an operation of designating one broadcast frame from the purchased plurality of broadcast frame BFs from the user through the input device 15 (S250).

The processor 11 executes the process of S270 when the specified operation is performed (Yes in S260), and performs the second sales support process when the end operation is performed instead of the specified operation (Yes in S265). finish.

In this way, the processor 11 executes the process of S270 every time the operation for designating the broadcast frame BF is performed until the end operation is performed. In S270, the processor 11 outputs information on the selling price for each candidate selling destination as information on the selling conditions of the designated broadcast frame BF.

Specifically, the processor 11 has a selling price set in S240 for the target attribute of the selling destination candidate for each selling destination candidate registered in the selling destination candidate data DS2, and S245 for the selling destination candidate. The information describing the effect prediction value Y [m] calculated in 1 is displayed on the display device 17 together with the identification information of the customer corresponding to the sales destination candidate.

According to the information processing system 10 described above, the user can obtain both the profit from the sale of the broadcast frame BF and the profit from the CM broadcast on the purchaser side, for example, based on the information obtained by the second sales support process. While taking this into consideration, the sales destination of the broadcast frame BF can be determined. Furthermore, the user can propose the purchase of the broadcast frame BF to the customer together with the explanation of the appeal effect. Therefore, this information processing system 10 is useful for supporting the selling act of the user's broadcast frame BF.

Subsequently, the modified examples of the first embodiment will be described as the second embodiment, the third embodiment, and the fourth embodiment. The configuration and operation of the information processing system 10 of the modified example are the same as those of the first embodiment except for a part. Therefore, in the following, the description of the same configuration and operation as the first embodiment of the information processing system 10 of the modified example will be omitted. In the information processing system 10 of the modified example, the parts and processes having the same reference numerals and the same step numbers as those of the first embodiment are the same as the corresponding parts and processes of the first embodiment unless otherwise specified. It may be understood that it is similar.

[Second Embodiment]
In the information processing system 10 of the second embodiment, in the calculation of the effect prediction value Y [m] in S140, the product / service attribute which is the attribute of the product or service sold by the sales destination candidate is considered as the appeal effect coefficient C. The value is used.

In the second embodiment, the effect explanation database DE shown in FIG. 7 is stored in the storage 13. The effect explanation database DE has effect explanation data DE1 for each product / service attribute. The effect explanation data DE1 defines the appeal effect coefficient C [n, t] for each combination of the viewer attribute and the time zone as the appeal effect coefficient C for one corresponding product / service attribute.

The appeal effect coefficient C [n, t] represents the magnitude of the appeal effect on the viewer attribute n when the commercial is broadcast in the time zone t. It may be understood that the time zone t here includes the concept of the day of the week.

According to one example, the appeal effect coefficient C [n, t] can be determined as a conversion rate when one viewer belonging to the viewer attribute n sees a commercial broadcast in the time zone t. The conversion rate here corresponds to the probability that the viewer will react to the commercial and take the action that the advertiser is aiming for.

The conversion rate can be estimated, for example, from the amount of increase in consumer access to the relevant website or call center after the commercial broadcast of the goods or services belonging to the corresponding goods / services attribute in the past. Related websites or call centers include websites that introduce goods or services, websites or call centers that sell goods or services.

The sales destination candidate data DS2 of the second embodiment has information indicating the attribute of the product or service advertised by the corresponding customer by the spot CM together with the target attribute for each sales destination candidate.

In S130, the processor 11 determines the target attribute and the product / service attribute for each sales destination candidate. When the processor 11 calculates the effect prediction value Y [m] for each sales destination candidate for each broadcast frame BF in S140, the processor 11 refers to the effect explanation data DE1 of the product / service attribute of the corresponding sales destination candidate m and sells the product. The appeal effect coefficient C [n, t] that matches the combination of the product / service attribute of the destination candidate m, the target attribute of the sales destination candidate m, and the broadcast time zone corresponding to the broadcast frame BF is specified.

The processor 11 uses the specified appeal effect coefficient C [n, t] and is commercialized in the broadcast frame BF corresponding to the sales destination candidate m according to the formula Y [m] = C [n, t] · X [n]. The expected effect value Y [m] when the program is broadcast is calculated.

According to the second embodiment, the effect prediction value Y [m] regarding the appeal effect for each sales destination candidate is calculated in consideration of the attribute of the product or service that the customer intends to appeal by commercial and the broadcast time zone. Is used to search for the allocation pattern of the broadcast frame BF, so that it is possible to realize the allocation of the broadcast frame BF having a high appeal effect. This is useful for broadcasting commercials that are highly appealing to advertisers, and is useful for improving customer satisfaction for sellers of broadcast slots BF.

[Third Embodiment]
Subsequently, the third embodiment will be described with reference to FIG. The information processing system 10 of the third embodiment is an example in which the processing of S150 in the first sales support processing shown in FIG. 5 executed in the first embodiment is modified. FIG. 8 shows a flowchart of processing executed by the processor 11 in S150 in the third embodiment.

In S150, the processor 11 first sets the selling price Z for each target attribute of each broadcast frame BF, as in the processing in S240 (S310). After that, the processor 11 calculates the price-effectiveness predicted value Yc [m] (m = 1, 2, ..., M) for each sales destination candidate for each broadcast frame BF (S320). The price-effectiveness predicted value Yc [m] is a broadcast frame when the sales destination candidate m (= 1, 2, ..., M) broadcasts a commercial for consumers corresponding to the target attribute in the corresponding broadcast frame BF. Corresponds to the predicted value of the appeal effect on the purchase cost of BF.

In S320, the price-effectiveness predicted value Yc [m] is calculated by, for example, the following equation Yc [m] = Y [m] / Z. Z included in this formula is the selling price of the broadcast frame BF for the sales destination candidate m. That is, Z is the selling price Z set in S310 with respect to the target attribute of the sales destination candidate m. Y [m] is the effect prediction value Y [m] of the above-mentioned first embodiment or the second embodiment. Since the relationship between the predicted effect value Y [m] of the second embodiment and the selling price is not constant, in S320, the predicted effect value Y [m] of the second embodiment is used to predict the price-effectiveness Yc [ It is particularly meaningful to calculate [m].

In the following S330, the processor 11 is purchased using the price-effectiveness predicted value Yc [m] (m = 1, 2, ..., M) for each combination of the broadcast frame BF and the sales destination candidate calculated in S320. An appropriate pattern for allocating sales destination candidates to a plurality of broadcast frame BFs is searched for within a range satisfying the constraint condition indicated by the constraint condition data DS31.

Specifically, the processor 11 can execute the same processing as the first example of the processing of S150 by using the price-effectiveness predicted value Yc [m] instead of the effect predicted value Y [m].

That is, the processor 11 assigns the sales destination candidate assigned to the broadcast frame BF for each broadcast frame BF, and the sales destination candidate whose price-effectiveness predicted value Yc [m] is equal to or higher than the first reference value in this broadcast frame BF. Can be narrowed down to. The processor 11 can search for an allocation pattern that satisfies the constraint conditions for the entire plurality of broadcast frame BFs by selecting only the sales destination candidates narrowed down for each broadcast frame BF. The first reference value can be determined, for example, in consideration of sales performance. The first reference value may be set individually for each sales destination candidate in consideration of the purchase record of the corresponding sales destination candidate spot CM broadcasting frame.

As another example, in the processor 11, only the above-mentioned narrowed-down sales destination candidates are selected, and the average of the price effect predicted value Yc [m] becomes equal to or more than the second reference value or becomes the maximum within the range satisfying the constraint condition. You can search for allocation patterns. The average here is a plurality of broadcasts of the effect prediction value Y [m] of each broadcast frame BF regarding the assigned sales destination candidate when the sales destination candidate is temporarily assigned to each broadcast frame BF in the corresponding allocation pattern. It means the average of the entire frame BF.

As another example, the processor 11 selects only the narrowed-down sales destination candidates as options, and searches for an allocation pattern in which the total selling price is equal to or greater than the second reference value or is maximum within the range satisfying the constraint condition. Can be done. The total selling price is the total of a plurality of broadcasting frame BFs of the selling price Z of each broadcasting frame BF for the assigned sales destination candidate when the sales destination candidate is assigned to each broadcasting frame BF in the corresponding allocation pattern. Means the total in.

According to the third embodiment, it is possible to realize the allocation of the broadcast frame BF in consideration of price effectiveness. Therefore, it is useful for the seller of the broadcast frame BF to improve the customer satisfaction.

[Fourth Embodiment]
Subsequently, the fourth embodiment will be described with reference to FIGS. 9 and 10. The information processing system 10 of the fourth embodiment adapts the information processing system 10 of the first embodiment to the allocation of the broadcast frame BF corresponding to the mail order program frame.

In the present embodiment, the server device 30 is configured to provide the effect analysis data DF shown in FIG. 9 to the information processing system 10 instead of the viewing analysis data DA of the first embodiment. The effect analysis data DF has detailed effect data for each broadcast channel.

The effect detailed data has sales performance data of mail-order programs broadcast in the corresponding broadcast frame for each broadcast date and time. The broadcast date and time is defined, for example, by dividing a week into a day of the week and a time zone. The sales performance data describes the sales performance value for each broadcast date and time based on the past sales performance over a plurality of weeks for each product attribute.

The actual sales value is, for example, a value representing the size of the sales volume of the corresponding product group for each product attribute such as a health drink or a personal computer on a specific scale. The actual sales value can be the average of the past actual sales on the same day of the week and the same time zone in multiple weeks. The product attribute may be a product classification defined by JICFS (JAN Item Code File Service).

The standard number of units sold and the amount sold vary depending on the product attributes. Therefore, the actual sales value may be a value obtained by standardizing the number of sales or the size of the sales amount. For example, the magnitude of a sales volume can be expressed by the rate of increase or decrease from the standard number of sales or sales amount of the corresponding product attribute. The actual sales value may include an actual value other than the transaction in which the sale was completed. For example, the actual sales value may be an actual value related to the number of inquiries about the products introduced in the program. That is, the actual sales value may be an actual value related to the reaction of the viewer.

In the present embodiment, the information processing system 10 operates so as to sequentially acquire the effect analysis data DF from the server device 30 and store it in the storage 13. The information processing system 10 further receives the input of the analysis target data DS including the purchase data DS1, the sales destination candidate data DS2, and the condition data DS3 from the user through the input device 15, and stores the analysis target data DS. Store in 13.

The sales destination candidate data DS2 of the present embodiment associates each sales destination candidate with the identification information of the customer who is the candidate, and sets the attributes of the product for the purpose of appealing to the customer, in other words, the attribute of the product to be sold in the mail-order program. , Is configured to be described as target attribute information.

According to the present embodiment, the processor 11 is configured to execute the third sales support process shown in FIG. 10 instead of the first sales support process shown in FIG. The third sales support process is executed by the processor 11 when the user inputs an execution instruction for the third sales support process through the input device 15.

When the third sales support process is started, the processor 11 reads the analysis target data DS designated together with the execution instruction from the storage 13 (S410). After that, the processor 11 refers to the purchase data DS1 possessed by the read-out analysis target data DS and the effect analysis data DF stored in the storage 13 in advance, and sells each purchased broadcast frame BF by product attribute. The actual value P [j] (j = 1, 2, ..., J) is determined (S420). P [j] means the actual sales value of the product attribute j (= 1, 2, ..., J).

Further, the processor 11 refers to the sales destination candidate data DS2 possessed by the read analysis target data DS, and determines the target attribute of each sales destination candidate, that is, the attribute of the product corresponding to the appeal purpose of each sales destination candidate (). S430). Further, the processor 11 calculates the effect prediction value W [m] (m = 1, 2, ..., M) for each sales destination candidate for each purchased broadcast frame BF (S440).

The effect prediction value W [m] calculated here is when the sales destination candidate m (= 1, 2, ..., M) sells a product with a product attribute corresponding to the target attribute in the corresponding broadcast frame BF. Corresponds to the predicted value of the appeal effect.

According to one example, the effect prediction value W [m] of the sales destination candidate m for a certain broadcast frame BF is the sales actual value P [j] in the broadcast frame BF of the product attribute j that matches the target attribute of the sales destination candidate m. Is calculated as a value W [m] = C [j] · P [j] obtained by multiplying the product attribute j by the appeal effect coefficient C [j].

The appeal effect coefficient C [j] can be C [j] = 1 for all product attributes. Alternatively, the appeal effect coefficient C [j] is adjusted so that the profit expected from the seller by selling the product having the corresponding product attribute j through the broadcast frame BF is calculated as the effect predicted value W [m]. It can be a different coefficient for each product attribute j. The appeal effect coefficient C [i] can be described in advance in the condition data DS3.

In the subsequent S450, the processor 11 uses the effect prediction value W [m] (m = 1, 2, ..., M) to select an appropriate pattern for allocating sales destination candidates to a plurality of purchased broadcast frame BFs. Explore. The processing in S450 can be executed by using the effect prediction value W [m] instead of the effect prediction value Y [m] and using the same method as the processing in S150 in the first embodiment.

When the search for the allocation pattern in S450 is completed, the processor 11 selects one or more sales destinations of each broadcast frame BF from the sales destination candidates according to the allocation pattern found by the search, as in the processing in S160 (similar to the processing in S160). S460).

When the processing in S460 is exceeded, the processor 11 outputs the sales destination information including the identification information of the selected sales destination for each broadcast frame BF (S470), as in the processing in S170. The processor 11 can display the sales destination information on the display device 17. The processor 11 can store the sales destination information in the storage 13 (S470). The processor 11 then ends the third sales support process.

In S470, the processor 11 sets the selling price of each broadcasting frame BF based on the target attribute of the selling destination (S471), and presents the selling condition information indicating the selling price to the selling destination information. Can be output together with (S473).

When the sales destination candidate m is selected as the sales destination for the broadcast frame BF, the processor 11 sets the product attribute j matching the target attribute of the sales destination candidate m to the sales actual value P [j] in the broadcast frame BF. , The value Z = K [j] · P [j] multiplied by the price coefficient K [j] can be set to the selling price Z. The price coefficient K [i] for each product attribute can be described in advance in the condition data DS3.

In S471, the processor 11 can execute the process related to the setting of the selling price Z for each combination of the broadcasting frame BF and the selling destination. In S473, the processor 11 can output the set selling price Z in association with the information of the selling destination regarding the corresponding broadcast frame BF.

According to the third sales support process explained above, regarding the broadcast frame BF corresponding to the mail-order program frame, a plurality of broadcast frames purchased so as to enhance the overall appeal effect while considering the past sales performance. A sales destination can be assigned to each of the BFs. Therefore, it is possible to provide a meaningful broadcast frame BF to a plurality of customers corresponding to the sales destination, and it is possible to enhance customer satisfaction regarding the sale of the broadcast frame BF.

In addition, the processor 11 further performs the same processing as the second sales support processing (see FIG. 6) in the first embodiment with the effect analysis data DF and the product attribute corresponding to the target attribute of each sales destination candidate. It may be executed based on.

That is, in S220, the processor 11 determines the sales performance value P [j] for each product attribute of each broadcast frame BF, and in S230, it corresponds to the target attribute of each sales destination candidate (that is, the purpose of appealing the sales destination candidate). The attribute of the product to be sold) can be determined.

Further, in S240, the processor 11 can set the selling price Z for each target attribute. In S245, the effect prediction value W [m] for each sales destination candidate can be calculated for each broadcast frame BF. Further, in S270, for the designated broadcast frame BF, information on the selling price Z and the effect prediction value W [m] for each sales destination candidate can be output as information on the sales conditions of the designated broadcasting frame BF. ..

[others]
The exemplary embodiments of the present disclosure are not limited to the embodiments described above, and various embodiments can be adopted. For example, the constraint condition used for searching the allocation pattern is not limited to the above-mentioned example, and may be set in various ways according to the needs of the customer. For example, the constraint condition may include a condition relating to the genre of the program broadcast before and after the spot CM broadcast frame. The index of appeal effect used in the search for the allocation pattern and the method for determining the selling price of the broadcast frame BF are also not limited to the above example.

For example, in the first embodiment, the audience rating X [n] for each viewer attribute used for searching the allocation pattern is an estimated audience rating EA corresponding to the average audience rating in the past predetermined period. The effect prediction value Y [m] is calculated based on this estimated audience rating EA. However, the estimated audience rating EA calculated by the predetermined rule does not consider environmental changes such as seasons, calendars, and events.

Therefore, the estimated audience rating EA is multiplied by the expected achievement rate R, and a more accurate estimated audience rating (R · EA) is calculated as the audience rating X [n] for each viewer attribute. May be good. Alternatively, when calculating the effect prediction value Y [m], the audience rating X [n] may be multiplied by the achievement rate R. The achievement rate R here means the ratio of the actually observed audience rating to the estimated audience rating EA.

When searching for an allocation pattern, the expected achievement rate R is determined for each of the plurality of broadcast slots BF to be allocated, and the excellent broadcast slots with the expected achievement rate R of 100% or more are sold to a plurality of sales destinations. Allocation patterns may be explored so that they are appropriately allocated to the candidates.

In this case, the constraint condition data DS31 can describe allocation rules such as the allocation number or allocation rate of excellent broadcast slots for each sales destination candidate, and the processor 11 sets the excellent broadcast slots to each sales destination according to the allocation rules. You can search for allocation patterns to assign to candidates.

In addition, the sales condition of the broadcast frame BF for the sales destination candidate may be set as the selling price per unit audience rating. That is, the selling price Z may be calculated by multiplying the audience rating observed at the time of actual broadcasting by the selling price per unit audience rating. In other words, the sales condition may determine the calculation rule (for example, the calculation formula) of the sales price Z, not the sales price Z itself.

Further, instead of the above-mentioned audience rating X [n] corresponding to the total audience rating, the audience rating for each viewer attribute expressing the audience rating by another scale is used for calculating the effect prediction value Y [m]. You may. In the gross audience rating, the audience rating is calculated regardless of whether one viewer has viewed the commercial a plurality of times or a plurality of viewers have viewed the commercial once.

However, the viewing amount for each viewer attribute may be the number of reach to the viewer having the corresponding viewer attribute. That is, the viewing amount for each viewer attribute may be the number of viewers who have viewed the commercial one or more times and have the corresponding viewer attribute.

The viewing amount for each viewer attribute may be the number of reach for each number of times. The number of reach by the number of times is the number of viewers who have seen the commercial more than the corresponding number of times, for example, the number of viewers who have seen the commercial N1 times or more, and the number of viewers who have seen the commercial N2 times or more. ..

In addition, the viewing amount for each viewer attribute may be the content rate for each viewer attribute. The content rate here is the ratio of viewers who have the corresponding viewer attribute in the viewer group who saw the commercial, and the audience rating by viewer attribute is divided by the audience rating of all attributes. Corresponds to the value.

Instead of the audience rating X [n] for each viewer attribute, a sales index for each viewer attribute may be used. Examples of sales indicators include sales, phone calls, contract applications, website searches, website inflows, and conversions. In addition, a plurality of indicators related to viewing volume or appeal effect may be used to allocate a broadcast frame BF that meets the needs of the seller.

The first to fourth embodiments described above may be combined. For example, the allocation pattern may be searched using both the effect prediction value Y [m] of the first to third embodiments and the effect prediction value W [m] of the fourth embodiment. In this case, while aligning the scales of the effect prediction values Y [m] and W [m], the processor 11 sets the total of the effect prediction values for the entire plurality of broadcast frame BFs as the effect prediction value for each sales destination candidate. It can be obtained for each of the cases where Y [m] is used and the case where the effect prediction value W [m] is used, thereby searching for an allocation pattern that maximizes the total or exceeds the standard, for example. Can be done.

A high selling price can be set for a broadcast frame BF with a high appeal effect. Therefore, the allocation pattern may be searched while considering the total sales amount of the entire plurality of broadcast slots BF or the total profit corresponding to the difference from the purchase price. When searching for an allocation pattern, values corresponding to the selling price of the corresponding broadcast frame BF to the sales destination candidate may be used as the effect prediction values Y [m] and W [m].

The parameters used for calculating the effect prediction values Y [m] and W [m] and the selling price are not limited to the audience rating X [n] and the sales actual value P [j], and the parameters used for these calculations are The type may be different for each sales destination candidate. When searching for an allocation pattern, the parameter type may be switched for each sales destination candidate, and an allocation pattern in which the total of the predicted effect values is maximum or equal to or greater than the standard may be searched.

Instead of the above-mentioned sales actual value P [j], it is a value estimated from the past actual results, and an estimated value regarding the reaction of the viewer when the product is introduced in the corresponding broadcast frame BF is calculated, and the effect is obtained. It may be used to calculate the predicted value W [m].

As described above, the reaction of the viewer includes the number of inquiries about the products introduced in the broadcast frame BF. For example, the processor 11 may calculate the estimated value of the number of inquiries by using the machine learning technique. For example, an estimation model for calculating an estimated value of the number of inquiries may be constructed by using a machine learning algorithm such as a random forest from past results, and the above estimated value may be calculated. The estimation model can be constructed as a model for obtaining an estimated value of the number of inquiries from, for example, a broadcast date, a day of the week, a time zone, and at least a part of the program content. Machine learning algorithms can be used to calculate estimates of other viewer reactions and to calculate estimates of appealing effects.

In addition, the functions of one component in the above embodiment may be distributed and provided in a plurality of components. The functions of a plurality of components may be integrated into one component. Some of the configurations of the above embodiments may be omitted. At least a portion of the configuration of the embodiment may be added or replaced with the configuration of the other embodiments. Any aspect contained in the technical idea specified from the wording described in the claims is an embodiment of the present disclosure.

10 ... Information processing system, 11 ... Processor, 12 ... Memory, 13 ... Storage, 15 ... Input device, 17 ... Display device, 19 ... Communication device, 30 ... Server device, BF ... Broadcast frame, DS1 ... Purchase data, DS11 ... Broadcast frame data, DS2 ... Sales destination candidate data, DS3 ... Condition data, DS31 ... Constraint condition data, DS32 ... Sales condition data, DA ... Viewing analysis data, DE ... Effect explanation database, DE1 ... Effect explanation data, DF ... Effect Analysis data, DS ... Data to be analyzed.

Claims (20)

Acquire effect information capable of discriminating the appealing effect of each viewer attribute by broadcasting the video in each of a plurality of broadcasting frames for broadcasting the video for the purpose of appealing to the viewer in television broadcasting. The first acquisition department, which is configured as
The second acquisition unit configured to acquire information on the target attribute, which is the viewer attribute of the appeal target of each of the plurality of sales target persons who are the sales destination candidates of the plurality of broadcast slots, and the second acquisition unit.
Based on the target attributes of each of the plurality of sales targets and the appealing effect of each of the viewer attributes in each of the plurality of broadcast slots determined from the effect information, each of the plurality of broadcast slots. A selection unit configured to select a sales destination from the plurality of sales targets, and a selection unit.
Equipped with
For each of the plurality of broadcasting slots, the selection unit uses the selling price of the corresponding broadcasting slot or the calculation formula of the selling price as the selling condition, based on the target attribute of the corresponding selling target person, for each sales target person. It is set, the sales destination of each of the plurality of broadcasting slots is selected in consideration of the sales conditions, and each of the plurality of broadcasting slots is supported as the sales condition presented to the sales destination of the corresponding broadcasting slot. the information processing system that outputs information indicating the sales conditions set for the sale subject. The selection unit determines the appealing effect when the video corresponding to each of the plurality of sales targets is broadcast in the corresponding broadcast frame for each of the plurality of broadcast frames, and each of the plurality of broadcast frames. based on said each of the appeal effect of several sales subjects, the information processing system of claim 1, wherein selecting the respective purchaser of the plurality of broadcast frames from the plurality of sales subjects related. Each of the plurality of broadcast slots is such that the total of the selling prices of the plurality of broadcast slots when the selection unit sells each of the plurality of broadcast slots to the selected sales destination satisfies a predetermined condition. The information processing system according to claim 1 or 2, wherein the sales destination is selected. In the selection unit, for at least a part of the plurality of sales targets, the total selling price to the corresponding sales target for each sales target corresponds to the budget upper limit specified by the corresponding sales target. The information processing system according to any one of claims 1 to 3, wherein a sales destination of each of the plurality of broadcasting slots is selected within a range not exceeding the amount of money to be paid. The selection unit allocates two or more broadcasting slots to at least a part of the plurality of selling targets for each selling target, and further, the variation in the broadcasting time zone of the two or more broadcasting slots is equal to or greater than the standard. The information processing system according to any one of claims 1 to 4 , wherein the sales destination of each of the plurality of broadcast slots is selected so as to be. One of claims 1 to 5 , wherein the first acquisition unit acquires, as the effect information, information representing the viewing amount for each viewer attribute by broadcasting the video in each of the plurality of broadcasting frames. The information processing system described in item 1. The information processing system according to claim 5 or 6, wherein the first acquisition unit acquires information representing the audience rating for each viewer attribute in the corresponding broadcast frame as the viewing amount for each viewer attribute. The selection unit converts the viewing amount for each viewer attribute into the appealing effect for each viewer attribute based on the conversion rule from the viewing amount to the appeal effect determined for each broadcast time zone, and by the conversion. The information processing system according to claim 6 or 7, wherein the appeal effect for each viewer attribute is determined. The information processing system according to claim 8, wherein the conversion rule is defined for each combination of the broadcast time zone and the viewer attribute. The appeal effect for each viewer attribute is calculated by multiplying the viewer amount of the corresponding viewer attribute by the appeal effect coefficient.
The information processing system according to claim 8 or 9, wherein the appeal effect coefficient corresponds to the probability that the viewer reacts to the video broadcast in the corresponding broadcast time zone and takes an action corresponding to the appeal purpose. The information processing system according to any one of claims 1 to 10 , wherein the plurality of broadcast frames include at least one spot CM broadcast frame. It is the appealing effect of broadcasting the video in a plurality of broadcasting frames for broadcasting the video for the purpose of appealing to the viewer in television broadcasting, and the appealing effect for each type of appealing purpose can be discriminated. The first acquisition unit, which is configured to acquire the first information,
A second acquisition unit configured to acquire second information capable of discriminating the appeal purpose of each of the plurality of sales target persons who are candidates for sales of the plurality of broadcast slots.
Based on the appealing purpose of each of the plurality of sales target persons determined from the second information and the appealing effect of each type of the appealing purpose in the plurality of broadcasting frames determined from the first information. A selection unit configured to select each sales destination of a plurality of broadcast slots from the plurality of sales target persons, and a selection unit.
Equipped with
For each of the plurality of broadcasting slots, the selection unit uses the selling price of the corresponding broadcasting slot or the calculation formula of the selling price as the selling condition for each of the selling target persons based on the appealing purpose of the corresponding selling target person. It is set, the sales destination of each of the plurality of broadcasting slots is selected in consideration of the sales conditions, and each of the plurality of broadcasting slots is supported as the sales condition presented to the sales destination of the corresponding broadcasting slot. the information processing system that outputs information indicating the sales conditions set for the sale subject. Each of the plurality of broadcast slots is such that when the selection unit sells each of the plurality of broadcast slots to the selected sales destination, the total of the selling prices of the plurality of broadcast slots satisfies a predetermined condition. The information processing system according to claim 12, wherein the sales destination is selected. In the selection unit, for at least a part of the plurality of sales targets, the total selling price to the corresponding sales target for each sales target corresponds to the budget upper limit specified by the corresponding sales target. The information processing system according to claim 12 or 13, wherein a sales destination of each of the plurality of broadcasting slots is selected within a range not exceeding the amount of money to be paid. Claims 12 to claim 12 to the first acquisition unit are configured to acquire the first information capable of discriminating the appeal effect for each type of the product for the appeal purpose as the appeal effect for each type of the appeal purpose. Item 12. The information processing system according to any one of items 14. A computer program for operating a computer as the first acquisition unit, the second acquisition unit, and the selection unit in the information processing system according to any one of claims 1 to 15. Information processing method executed by a computer
Acquire effect information capable of discriminating the appealing effect of each viewer attribute by broadcasting the video in each of a plurality of broadcasting frames for broadcasting the video for the purpose of appealing to the viewer in television broadcasting. That and
Acquiring information on the target attribute, which is the viewer attribute of the appeal target of each of the plurality of sales target persons who are the sales destination candidates of the plurality of broadcast slots,
Based on the target attributes of each of the plurality of sales targets and the appealing effect of each of the viewer attributes in each of the plurality of broadcast slots determined from the effect information, each of the plurality of broadcast slots. To select a sales destination from the above-mentioned multiple sales targets,
Only including,
The selection is made for each of the plurality of sales target persons, based on the target attribute of the corresponding sales target person, with the selling price of the corresponding broadcasting frame or the calculation formula of the selling price as the selling condition for each of the plurality of broadcasting frames. Including selecting the sales destination of each of the plurality of broadcasting slots in consideration of the sales conditions.
The information processing method further provides information indicating the sales conditions set for the corresponding sales target person as the sales conditions presented to the sales destination of the corresponding broadcast frame for each of the plurality of broadcast frames. including information processing method to be output. Information processing method executed by a computer
It is the appealing effect of broadcasting the video in a plurality of broadcasting frames for broadcasting the video for the purpose of appealing to the viewer in television broadcasting, and the appealing effect for each type of appealing purpose can be discriminated. To get the first information and
Acquiring the second information that can determine the appeal purpose of each of the plurality of sales target persons who are the sales destination candidates of the plurality of broadcasting slots.
Based on the appealing purpose of each of the plurality of sales target persons determined from the second information and the appealing effect of each type of the appealing purpose in the plurality of broadcasting frames determined from the first information. To select the sales destination of each of the multiple broadcast slots from the multiple sales target persons, and
Only including,
The selection is made for each of the plurality of sales target persons, based on the appeal purpose of the corresponding sales target person, with the selling price of the corresponding broadcasting frame or the calculation formula of the selling price as the selling condition for each of the plurality of broadcasting frames. Including selecting the sales destination of each of the plurality of broadcasting slots in consideration of the sales conditions.
The information processing method further provides information indicating the sales conditions set for the corresponding sales target person as the sales conditions presented to the sales destination of the corresponding broadcast frame for each of the plurality of broadcast frames. including information processing method to be output. The selection is such that when each of the plurality of broadcast slots is sold to the selected sales destination, the total of the selling prices for the plurality of broadcast slots satisfies a predetermined condition. The information processing method according to claim 17 or 18, which comprises selecting each of the above-mentioned sales destinations. The selection is such that for at least a portion of the plurality of sales targets, the total selling price of each sales target to the corresponding sales target is set to the budget upper limit specified by the corresponding sales target. The information processing method according to any one of claims 17 to 19, which comprises selecting a sales destination of each of the plurality of broadcasting slots within a range not exceeding the corresponding amount.

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