Advertisement material distribution system, advertisement material distribution device, advertisement material distribution method, and advertisement material distribution program

Abstract

According to the invention, efficient advertisement distribution for a specific target is realized while the increase of the calculation amount is inhibited. An advertisement material distribution system according to one embodiment of the present invention is provided with: an acquisition unit that acquires setting information relating to distribution including information relating to a target value; and a control unit that, on the basis of the setting information, specifies information indicating the correspondence between each advertisement space and the brand allocated to each advertisement space for which of the plurality of brands is allocated to each advertisement space. The control unit determines information indicating a first correspondence relationship that maximizes the minimum value of all brands among the achievement rates of the target total audience rating (TRP: Target Rating Point) for each brand, and that indicates a second correspondence relationship that maximizes the minimum value of all brands among the achievement rates of the target total audience rating (TRP: Target Rating Point) for each brand, on the condition that a first rule is satisfied that includes the limitation that the total audience rating of the family or the individual GRP is equal to or greater than the target value. When a second rule is satisfied, on the basis of the information indicating the first correspondence relationship, information indicating a second correspondence relationship that minimizes the difference between the maximum value and the minimum value of the achievement rates of all brands is determined.

Description

Technical Field

[0001] The present disclosure relates to an advertisement material distribution system, an advertisement material distribution device, an advertisement material distribution method, and an advertisement material distribution program. Background Art

[0002] In television broadcasts, commercial advertisements (CM: Commercial Message) are broadcast as advertisements. Commercial advertisements are roughly classified into time slot advertisements (time CM) and spot advertisements (spot CM). A time slot advertisement is a commercial advertisement broadcast during a time slot sold together with a program, and can also be called a programmatic commercial advertisement (program commercial), a program commercial advertisement, a sponsorship commercial advertisement, etc.

[0003] A spot advertisement corresponds to a commercial advertisement broadcast during an advertisement time slot specified by a television station. Spot advertisements are classified into station break advertisements (SB: Station Break) broadcast during a program break, and participation advertisements (PT: Participation) (or participation commercial advertisements) inserted into a program but not showing a sponsor, etc.

[0004] The planning of existing spot advertisements (which can also be called advertisement space selection, planning, purchase, estimation, spot advertisement planning, distribution, etc.) is performed based on a predetermined advertisement placement pattern (for example, Patent Document 1).

[0005] Prior Art Documents

[0006] Patent Documents

[0007] Patent Document 1: Japanese Patent Application Laid-Open No. 2000-124867 Summary of the Invention

[0008] Problems to be Solved by the Invention

[0009] Depending on the product or service, it is sufficient to attract a specific target. Here, the target can be gender and age classifications (child (C: Child) group, teenager (T: Teen) group, male (M: Male) groups M1 - M3, female (F: Female) groups F1 - F3) used in the marketing field.

[0010] For such products, etc., even if advertisement materials for all age groups are used, there is no effect. Therefore, it is desired to introduce advertisement materials for specific target groups in commercial advertisements. In addition, for the same product, etc., it is desired to use advertisement materials for multiple target groups separately.

[0011] However, an appropriate method for allocating advertising materials for a specific target group has not been established. For example, when the allocation targets include multiple brands, if the optimization method is simply applied, it is possible that the obtained solution is inappropriate and the calculation amount is huge.

[0012] Therefore, one of the objectives of the present disclosure is to provide an advertising material allocation system, an advertising material allocation device, an advertising material allocation method, and an advertising material allocation program, which can achieve efficient advertising allocation for a specific target while suppressing an increase in the calculation amount.

[0013] Technical solutions for solving the problems

[0014] An advertising material allocation system according to one aspect of the present disclosure includes: an acquisition unit that acquires setting information regarding allocation, the setting information including information related to a target value; and a control unit that determines information indicating a correspondence relationship between each advertising space and the brand allocated to each advertising space for which brand of the plurality of brands is to be allocated to each advertising space according to the setting information. The control unit determines the information indicating the first correspondence relationship under the condition of satisfying a first rule including a restriction that the total household rating (GRP: Gross Rating Point) or the individual GRP is equal to or higher than the target value, and the first correspondence relationship maximizes the minimum value among all brands in the achievement rate of the target total rating point (TRP: Target Rating Point) of each brand. Under the condition of satisfying a second rule, based on the information indicating the first correspondence relationship, the control unit determines the information indicating the second correspondence relationship, and the second correspondence relationship minimizes the difference between the maximum value and the minimum value of the above achievement rates of all brands.

[0015] Effects of the invention

[0016] According to one aspect of the present invention, it is possible to achieve efficient advertising allocation for a specific target while suppressing an increase in the calculation amount. Brief description of the drawings

[0017] Figure 1 It is a diagram showing an example of the schematic configuration of an advertising material allocation system according to one embodiment.

[0018] Figure 2 It is a diagram showing an example of a flowchart of an advertising material allocation method according to one embodiment.

[0019] Figure 3 It is a diagram showing an example of the allocation process of step S104.

[0020] Figure 4 It is a diagram showing an example of the application result of an advertising material allocation method according to one embodiment.

[0021] Figure 5 This is a diagram showing a reference example of an advertisement material distribution method.

[0022] Figure 6 This is a diagram showing an example of the functional structure of a distribution device according to an embodiment.

[0023] Figure 7 This is a diagram showing an example of the hardware structure of a distribution device and the like according to an embodiment. Detailed Embodiment

[0024] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the following description, the same reference numerals are assigned to the same parts. Since the names, functions, etc. of the same parts are the same, detailed descriptions thereof will not be repeated.

[0025] (Advertisement Material Distribution System)

[0026] Figure 1 This is a diagram showing an example of the schematic structure of an advertisement material distribution system according to an embodiment. Figure 1 The advertisement material distribution system 1 shown includes an advertisement material distribution device 10, a playback and distribution device 20, and a ratings management device 30.

[0027] The advertisement material distribution device 10 is a device that allocates commercial advertisements to advertisement slots played on television or the like for one or more advertising brands (which can also be interchanged with promotional campaigns, products, services, materials, etc.). Hereinafter, the advertisement material distribution device 10 is also simply referred to as the distribution device 10, the distribution device 10, etc.

[0028] The distribution device 10 can be a portable terminal (mobile communication terminal) such as a mobile phone, a smartphone, or a tablet terminal, or a fixed communication terminal such as a personal computer (PC: Personal Computer) or a server. That is, the distribution device 10 in the present disclosure can be replaced by a communication device.

[0029] The distribution device 10 can communicate with a network (such as the Internet) via wired and / or wireless (e.g., LTE (Long Term Evolution), 5G NR (5 th Generation New Radio), Wi-Fi (registered trademark), etc.).

[0030] The playback distribution device 20 is a device that distributes playback to a television (TV: television). Here, the television (TV receiver) can be a device having at least one function of receiving terrestrial broadcasts, broadcasting satellite (BS: Broadcasting Satellite) / communications satellite (CS: Communications Satellite) broadcasts, Internet broadcasts (Internet TV), etc. For example, the television can be at least one of a multi-functional television, a smart TV, an IP (Internet Protocol) TV, a set-top box, the above-mentioned mobile terminal, the above-mentioned fixed communication terminal, etc.

[0031] In addition, playback refers to the transmission of telecommunications for the purpose of direct reception by the public, and may also include radio broadcasts, Internet broadcasts, etc.

[0032] The rating management device 30 is a device that totals the actual ratings of programs broadcast on the television. The ratings can be stored in a predetermined time unit (e.g., seconds, minutes, hours). The rating management device 30 can send information about the ratings to other devices (e.g., the distribution device 10) via a network.

[0033] The rating management device 30 can also be, for example, a device managed by a television rating investigator. The rating management device 30 can also obtain and manage the viewing history data connected to the television of a specified household (e.g., a survey cooperation household). In addition, the ratings can also be calculated or predicted based on this data.

[0034] The rating management device 30 can also record the ratings (personal ratings of the target) for each specified target (users who meet the specified attributes).

[0035] The ratings or predicted ratings can include, for example, ratings or predicted ratings related to at least one of the target total ratings (TRP: Target Rating Point), which is equivalent to the total of the personal ratings of the target group, and the gross ratings (GRP: Gross Rating Point), which is equivalent to the total of the household ratings. The predicted ratings can be derived by the distribution device 10 or the rating management device 30 based on at least one of past ratings, real-time ratings, information related to the program, etc. In addition, the predicted ratings can also include the ratings predicted for the personal overall ratings that sum up the real-time viewing and time-shifted viewing up to 7 days after the program is broadcast (which can also be called All, P+C7 (Program+Commercial7), etc.). In addition, the personal rating of the target can also refer to the ratio of viewers who meet a certain target group to the personal overall of that target group.

[0036] In addition, in the present disclosure, it is assumed that the target is gender and age classification (child (C: Child) group, teen (T: Teen) group, male (M: Male) groups 1 - M3, female (F: Female) groups 1 - F3) used in the marketing field, but it is not limited to this classification.

[0037] An example of the functional structure and hardware structure of each device such as the distribution device 10 will be described later.

[0038] In addition, this system structure is an example and is not limited thereto. For example, each device includes 1 respectively in Figure 1 but the number of each device is not limited thereto, and there may be multiple. The advertisement material distribution system 1 may be a structure that does not include some devices, or may be a structure that realizes the function of one device through multiple devices.

[0039] The functions of multiple devices may also be realized by one device. For example, at least two of the distribution device 10, the playback and release device 20, and the audience rating management device 30 may be installed on one server.

[0040] (Advertisement Material Distribution Method)

[0041] The advertisement material distribution method according to an embodiment of the present disclosure will be described below. Each advertisement material distribution method can be applied to the above - mentioned advertisement material distribution system. In addition, the content of the present disclosure can also be used for advertisement material planning. In the present disclosure, "distribution", "assignment", "planning", "planning", "optimization", etc. can be replaced with each other.

[0042] Figure 2 is a diagram showing an example of a flowchart of an advertisement material distribution method according to an embodiment.

[0043] In step S101, the distribution device 10 determines the brand to be the object of advertisement material distribution. The distribution device 10 can determine the brand based on an external input (for example, a user's setting, reception from other devices). The distribution object may include multiple brands. In addition, the distribution object may be the brand of a single (one company) advertiser, or the brands of multiple advertisers.

[0044] In step S102, the distribution device 10 obtains the settings related to distribution (which may also be referred to as setting information). The distribution device 10 can also obtain the settings based on an external input. The settings may include the information used in the subsequent step S104 (for example, information related to the first / second / third rules), and may also include information on the restrictions on distribution related to each advertisement space (prohibited conditions related to each target, etc.).

[0045] For example, specific values / information related to the first / second / third rules can be displayed as selectable (e.g., via checkboxes, etc.) in the user interface for inputting setting information, and the allocation device 10 can determine the above values / information based on the selections in the user interface.

[0046] Here, the setting information may include information related to the allocated advertisement (which may also be referred to as advertisement information, commercial advertisement information, etc.). The advertisement information may include information about the advertisement content (the content), for example, it may also represent the content of the product or service being advertised (e.g., whether it involves medicine, finance, alcohol, tobacco, etc.).

[0047] In addition, the advertisement information may also include information on whether the advertisement of this brand is a time-slot advertisement or an interstitial advertisement. The advertisement information may include information on whether the advertisement of this brand is an SB or a PT.

[0048] In addition, the advertisement information may include information on the advertising placement patterns allowed for this brand (e.g., inverted L-shaped, all-day type, Y-shaped, C-shaped, inverted F-shaped, late-night type, all-daylight type, etc.).

[0049] The setting information may include information related to the programs of each advertising slot during the advertisement allocation period (e.g., one month) for a certain brand (which may also be referred to as program information). The program information may include, for example, the broadcast date and time (which may include the start time, end time, day of the week, the time length of the program, etc.), the time level (the level of commercial advertisement fees), the program type, the information of the program content (the content), the keywords related to the program, the predicted audience rating of the program, etc.

[0050] The type of the program may be, for example, news, variety show, drama, movie, music, sports, others, etc. The predicted audience rating may include the predicted audience rating (or estimated audience rating) calculated based on at least one of the real-time audience rating and the time-shifted audience rating.

[0051] Regarding the restrictions, the allocation device 10 can determine whether a certain brand can obtain a certain advertising slot (whether an advertisement of a certain brand can be allocated to the certain advertising slot) based on at least one of the following represented by the above setting information:

[0052] · This advertising slot is an interstitial advertising slot;

[0053] · If this advertising slot is an interstitial advertising slot, whether it is a program break advertisement (SB) or a participatory advertisement (PT);

[0054] · Whether this advertising slot is a time-slot advertising slot;

[0055] · The program corresponding to this advertising slot;

[0056] · The category of the program corresponding to this advertising slot;

[0057] · The number of advertising spaces obtained for the program corresponding to the advertising space within a certain period (e.g., the same day, the same month, the brand period).

[0058] · The radio station corresponding to the advertising space.

[0059] · The day of the week and / or time period of the advertising space.

[0060] · Whether the time period adjacent to the advertising space has been obtained.

[0061] · Whether the advertising space identical to the advertising space has been obtained by the advertising space of the advertisement of the same category as the brand.

[0062] · Whether the advertising space is designated as a time period unavailable for the brand (the advertiser, the customer of the brand).

[0063] In other words, the allocation device 10 may assume that the advertising space for which at least one of the above conditions matches (or does not match) the setting of the brand is prohibited (unobtainable) for the brand. The above conditions may also be referred to as prohibited conditions and the like. The day of the week and / or time period for which the advertising space cannot be obtained may be referred to as the prohibited time.

[0064] The allocation device 10 may also derive the prohibited time according to the advertising placement mode. As the placement mode, for example, there are the inverted L type, the all-day type, the ヨ type, the コ type, the inverted F type, the late-night type, the all-daylight type, etc. The allocation device 10 may determine that the time conforming to the inverted L type is the prohibited time for the brand for which the inverted L type of placement mode is set as the prohibited time period. In addition, in the present disclosure, the advertising placement mode may also be replaced by the placement mode, the deployment mode, the advertising mode, the sales mode, etc.

[0065] In step S103, the allocation device 10 derives the predicted ratings (predicted obtained GRP, predicted obtained TRP for each target, etc.) of each advertising space for the advertisement allocation target period (e.g., one month) of a certain brand. In this derivation, the past rating data (e.g., the personal rating data for each target) recorded in the rating management device 30 may also be used. The allocation device 10 may also use analysis methods such as deep learning and regression analysis to create a GRP / TRP prediction model for the past rating data, input the program information corresponding to each advertising space into the model, and derive the predicted obtained GRP / TRP.

[0066] In addition, the allocation device 10 may also obtain information related to the predicted ratings of each advertising space based on an external input. The information related to the predicted ratings of each advertising space may also be included in the setting information related to the above allocation.

[0067] In addition, in the present disclosure, terms such as predicting to obtain GRP / TRP, obtaining GRP / TRP, predicting GRP / TRP, and estimating GRP / TRP may be used interchangeably with each other.

[0068] In the present disclosure, it is assumed that the advertising space to be allocated is a time slot that conforms to a certain period of multiple radio stations (which may be replaced by channels), such as the advertising allocation target period of a brand. However, it may also be targeted at a single radio station. In addition, in the present disclosure, terms such as advertising space, time slot, time period, and area may be used interchangeably with each other.

[0069] In step S104, the allocation device 10 implements the allocation of advertising materials for each brand based on the settings related to the allocation in S102, the obtained GRP / TRP for each time slot in S103, and the like.

[0070] In this allocation, the allocation device 10 defines a combinatorial optimization problem related to advertising allocation (for example, a linear programming problem) and uses an optimization method to obtain a solution. Here, the solution corresponds to which brand is allocated to which advertising space of the allocation target. The solution may correspond to information indicating the correspondence between all the advertising spaces of the allocation target and the brands allocated to each advertising space.

[0071] As the optimization method, the branch and bound method, the dynamic programming method, etc. may also be used. Optimization can utilize a learning model generated based on at least one of deep learning, reinforcement learning, machine learning, etc.

[0072] Figure 3 It is a diagram showing an example of the process of the allocation in step S104. In the allocation shown in the present disclosure, by taking multiple stages of optimization steps, it is possible to appropriately calculate the optimal solution pursued by the advertiser while suppressing an increase in the amount of calculation.

[0073] Hereinafter, max(…) may be a function that returns the maximum value of the variables within the parentheses, and min(…) may be a function that returns the minimum value of the variables within the parentheses.

[0074] In addition, the allocation device 10 may also determine whether the advertisement of a certain brand can be allocated to a specific advertising space based on the above-mentioned restrictions during the exploration of the solution in each step.

[0075] <Step S201>

[0076] In step S201, the allocation device 10 searches (derives) a solution that increases the minimum value of the achievement rate of each brand under the condition of satisfying the first rule. The first rule may be referred to as an observance rule, a priority rule, etc.

[0077] If the achievement rate of the \(i\) -th (\(i\) is an integer, \(i = 1,2,\cdots,N\)) brand among the \(N\) brands of the optimization object is set as Brand i , then the optimization problem in step S201 can also correspond to maximizing \(min(Brand 1 ,\cdots,Brand N ) under the conditions corresponding to the first rule.

[0078] Brand i can correspond to the ratio of a certain index of the \(i\) -th brand to the target value (that is, the estimated value of a certain index÷the target value). In addition, in the present disclosure, the index can also correspond to at least one of TRP, GRP (household GRP, individual GRP), coverage rate, frequency, amount, etc.

[0079] In addition, the estimated value of a certain index for a certain brand (for example, if the index is TRP, it is the estimated TRP) can also be the value of the index expected to be obtained when performing an advertisement allocation corresponding to the solution in the current step (the sum of the estimated values of the index for all obtained advertisement spaces).

[0080] The first rule may include one or more of the following rules for the \(i\) -th brand:

[0081] · A certain index is above the target value (or included within the target value±tolerance range)

[0082] · Which achievement rate of which index is the object of solution search (Brand i is the achievement rate of which index, and which index is the optimization object)

[0083] · During each specific time unit (for example, 1 day) of the date and time that satisfies the specific conditions within the optimization object period (for example, all dates), advertisements must be allocated to one or more advertisement spaces

[0084] · The number of the same program to SB / PT is a specific number (for example, 1, 2,…) or less

[0085] · The target achievement rate of Brand i during a specific period (or up to a certain period) (hereinafter, also referred to as the achievement rate for each period) is a specific value or more

[0086] · The difference between the maximum value and the minimum value of the specific achievement rate for each period is within a specific value.

[0087] In the first rule, for each of the multiple indexes, it may also include the above “a certain index is above the target value (or included within the target value±tolerance range)”. This tolerance range may also vary depending on the index.

[0088] When the achievement rate of which index is used as the object of solution search described above represents TRP for example, even when multiple target values (for example, target TRP as the target value of TRP and target GRP as the target value of GRP) are given for each brand, the allocation device 10 can determine Brand i as the ratio of the target value (target TRP) of the i-th brand to the total obtained TRP (TRP).

[0089] In addition, when the above “which index achievement rate is used as the object of solution search” is not specifically specified, the allocation device 10 may also determine a specific index (such as TRP) as the optimization object.

[0090] The above specific period may be part or all of the period of the optimization object. In addition, in the first rule, rules related to the achievement rates of multiple periods in different periods may also be included.

[0091] The first rule may include first rules that are different for each of multiple brands. For example, the above target values of multiple brands may be different respectively. When there are multiple “i-th brands”, the description of “i-th brand” in the present disclosure may represent the description of each of them. The “i-th brand” in the present disclosure may be replaced by any brand included in the optimized target brand.

[0092] The first rule may include one or more of the following rules for multiple brand ranges:

[0093] · The difference between the maximum value of the achievement rate of each period of a certain brand and the minimum value of the achievement rate of each period of other brands is within a specific value

[0094] · For a certain target, the order of the estimated target inclusion rates of multiple brands is the desired order.

[0095] In the present disclosure, the target inclusion rate of a certain brand can be calculated by TRP÷GRP of that brand. In addition, the estimated target inclusion rate (also referred to as the estimated target inclusion rate) of the estimated value can also be calculated by estimated TRP÷estimated GRP. In addition, the target inclusion rate of the target value (also referred to as the target target inclusion rate) can be calculated by target TRP÷target GRP.

[0096] Here, “for a certain target, the order of the estimated target inclusion rates of multiple brands is the desired order” may also be, for example, for the F1 population, the order (rank) of the estimated target inclusion rates of brands 1-3 is that brand 2 is in the 1st place, brand 1 is in the 2nd place, and brand 3 is in the 3rd place. When the brands to be optimized include multiple targets, the above desired order (desired rank) may also be set / specified for each target.

[0097] In addition, the dispensing device 10 may determine the above-mentioned desired order based on the target target content rates of each brand for the same target. In this case, the above-mentioned desired order may not be explicitly set / specified.

[0098] In addition, the information (settings) related to the first rule may be input by the user to the dispensing device 10 or received (notified) from the outside. For example, information related to at least one of the above-mentioned target values, tolerance ranges, specific conditions, specific time units, specific quantities, specific values, specific periods, X described later, etc. may be included in the dispensing-related settings of the above-mentioned step S102.

[0099] When using the branch and bound method as the optimization method, the dispensing device 10 first determines a tentative solution that satisfies the first rule according to a prescribed method (e.g., the greedy method), performs branching operations, bounding operations, etc., updates the tentative solution that satisfies the first rule based on an arbitrary method (e.g., the greedy method), and stops searching if there are no searchable branches. The tentative solution at this time corresponds to the obtained optimal solution. In addition, when determining (calculating) the initial tentative solution, in order to simplify the calculation, a part of the first rule may be ignored. In addition, for steps S202 and S203, the same optimization processing may also be performed on the first / second / third rules.

[0100] When a solution is found in step S201, the dispensing device 10 proceeds to step S202. In addition, when no solution is found in step S201 (when no tentative solution that completely satisfies the specified first rule is found, or when min(Brand 1 ,..., Brand N ) does not reach above the specified threshold), the dispensing device 10 may relax the first rule and search for a solution again. For example, the dispensing device 10 may set the above-mentioned specific value of each period achievement rate to 1 (or 100%) and perform the first step S201. When no solution is found, the above-mentioned specific value is decreased by X% (e.g., X = 5) and step S201 is performed,..., and such processing is repeatedly performed until a solution is found.

[0101] <Step S202>

[0102] In step S202, the dispensing device 10 searches for a solution that reduces the deviation of the achievement rates of each brand (when the achievement rate of brand A is the largest and the achievement rate of brand B is the smallest among multiple brands, the difference between the largest and the smallest) under the condition of satisfying the second rule in addition to or instead of the first rule.

[0103] The optimization problem in step S202 can correspond to minimizing max(Brand 1 ,..., Brand N ) - min(Brand 1 ,..., Brand N ) under the conditions corresponding to the first rule and the second rule.

[0104] The initial value (tentative solution) of the optimization problem in step S202 can also be the solution found in step S201.

[0105] The second rule can include one or more of the following rules:

[0106] · The achievement rate of the i-th brand is above the minimum value (or minimum value * coefficient) of the achievement rate of the i-th brand in the solution found in step S201

[0107] · The minimum value of the achievement rates of all brands is above the minimum value (or minimum value * coefficient) of the achievement rates of all brands in the solution found in step S201

[0108] · The achievement rate of each specific period of the i-th brand is above the achievement rate of each specific period of the i-th brand (or achievement rate of each specific period * coefficient) in the solution found in step S201.

[0109] The above coefficient can be a value of 1 or less (e.g., 0.9), which is equivalent to the value that allows the minimum value of the above achievement rate to decrease in order to reduce the deviation of the above achievement rate.

[0110] In addition, the information (settings) representing the second rule can be input by the user to the allocation device 10 or received (notified) from the outside. For example, information related to at least one of the above coefficient, Y described later, etc. can also be included in the settings related to the allocation in the above step S102. For example, whether to make the above coefficient a value of 1 or less can be displayed as selectable (by a checkbox, etc.) in the user interface for inputting the setting information of step S102, and the allocation device 10 can also determine the value of the above coefficient based on the selection of this user interface.

[0111] When a solution is found in step S202, the allocation device 10 proceeds to step S203. In addition, when no solution is found in step S202 (no tentative solution that fully satisfies the specified first / second rules is found, or max(Brand 1 ,..., Brand N ) - min(Brand 1 ,..., Brand N)When it does not reach below the specified threshold, the allocation device 10 can also relax the second rule and search for a solution again. For example, the allocation device 10 can also set the value of the above coefficient of the achievement rate to 1 to implement the first step S202. If no solution is found, the value of the above coefficient is reduced by Y% (for example, Y = 10) to implement step S202, and this process is repeated until a solution is found.

[0112] In addition, when no solution is found in step S202 (no tentative solution that fully satisfies the specified first / second rules is found, or max(Brand 1 、…、Brand N ) - min(Brand 1 、…、Brand N ) does not reach below the specified threshold), the allocation device 10 can return to step S201, relax the first rule, and search for a solution again. For example, when no solution is found in step S202, the allocation device 10 can return to step S201 and reduce the above specific value of the achievement rate for each period by X% (for example, X = 5) to implement step S201.

[0113] <Step S203>

[0114] In step S203, when the allocation device 10 satisfies the conditions of the third rule in addition to or instead of the second rule, it searches for a solution that minimizes a specific index (one or more of the following indexes):

[0115] · The difference (or the absolute value of the difference) between the estimated TRP of the i-th brand in the solution searched in step S203 and the estimated TRP of the i-th brand in the solution found in step S202

[0116] · The deviation of the number of daily advertisement positions (the number of advertisements) allocated to the i-th brand

[0117] · For the i-th brand, the number of consecutive allocation periods for adjacent programs in time.

[0118] A small deviation in the number of advertisement positions per day means suppressing the allocation of advertisements to specific days, so an improvement in the advertisement effect can be expected.

[0119] The initial value (tentative solution) of the optimization problem in step S203 can also be the solution found in step S202.

[0120] In addition, in the case where the specific metrics in step 203 include the above-mentioned multiple metrics, if it is not possible to minimize all the metrics, it is also possible to compromise on any metric. For example, the minimum value of the absolute value of the above difference is 0, but it can also be allowed to be below a certain value (e.g., 0.5, 1, 2,...). For example, the minimum value of the above deviation / number of consecutive allocation periods is 0, but it can also be allowed to be 1 (or 2, 3,...).

[0121] The third rule may include one or more of the following rules:

[0122] · The achievement rate of the i-th brand is above the minimum value of the achievement rate of the i-th brand in the solution found in step S202

[0123] · The minimum value of the achievement rates of all brands is above the minimum value (or minimum value * coefficient) of the achievement rates of all brands in the solution found in step S202

[0124] · The achievement rate of each specific period of the i-th brand is above the achievement rate of the i-th brand for that specific period in the solution found in step S202.

[0125] When a solution is found in step S203, the allocation device 10 determines that the optimal solution has been found and ends the allocation process. In step S203, there is no case where a solution cannot be found (even in the worst case, the solution of step S202 can be obtained).

[0126] Figure 4 An example of the application result of the advertisement material allocation method according to an embodiment is shown. The "desired rank" shown in the figure and the column to its left correspond to the information provided to the allocation device 10 (information available for optimization), and the column to the right of the "desired rank" corresponds to Figure 3 the metrics of the result of the optimization end of step S203.

[0127] In this example, advertisement allocation for a certain period is performed for 8 brands (brands A - H). The targets of brands A - C and G - H are F2, and the targets of brands D - F are F1.

[0128] In this example, it is assumed that the allocation device 10 provides the target TRP and target GRP of each brand. In addition, the target hit rate shown in the figure is target TRP / target GRP [%], and the desired rank corresponds to the order of the descending order of the target hit rate of each target sorted in descending order.

[0129] In this example, the achievement rate of the brand corresponds to the TRP. That is, what is maximized in step S201 is the minimum value of the achievement rates of the TRPs of each brand. The target GRP is used as a constraint condition for the first rule.

[0130] As a result of the allocation, the GRP difference (estimating GRP - target GRP) and the percentage value of the GRP difference (=GRP difference÷target GRP×100) are all 0 or more, that is, the estimated GRP of each brand has achieved the target.

[0131] As a result of the allocation, the percentage value of the TRP difference (estimating TRP - target TRP) (=TRP difference÷target TRP×100) is in the range of - 18.9% to - 16.7%, and the deviation of the achievement rate of each brand can be appropriately reduced by step S202.

[0132] As a result of the allocation, the estimated target occupancy rank is consistent with the desired rank, and it is known that the ratio of TRP / GRP of each brand desired by the advertiser is appropriately reflected.

[0133] Figure 5 It is a diagram showing a reference example of an advertisement material allocation method. In this example, instead of using Figure 2-3 the allocation of the multi - stage optimization method, it is an example using an optimization method that only makes the GRP of each brand above the target GRP, without considering (unable to consider) the target TRP, desired order, etc.

[0134] As a result of the allocation, the estimated GRP of each brand has reached the target, but there are significant differences in the estimated TRP. Assuming that the target TRP is the same as Figure 4 the deviation of the achievement rate of each brand is larger than Figure 4 that.

[0135] In addition, if the desired rank is the same as Figure 4 the estimated target occupancy order is inconsistent with the desired rank.

[0136] Refer to Figure 4 and Figure 5 It is known that the allocation using the multi - stage optimization method of the present disclosure can appropriately achieve the allocation desired by the advertiser, and thus is preferable. In addition, the allocation using the multi - stage optimization method of the present disclosure is more advantageous than the existing system (for example, an allocation device / system that performs optimization together) in terms of performance (achieved target) and processing load.

[0137] According to one embodiment described above, the preferred advertisement allocation can be appropriately determined with a lower processing load than in the case of obtaining the same solution (advertisement allocation) using the existing system. In addition, according to one embodiment, even when a solution cannot be obtained under the initial conditions, the allocation device 10 can automatically relax some of the conditions to attempt optimization, and thus the situation without a solution can be effectively suppressed.

[0138] <Supplement>

[0139] An example in which the advertisement material distribution shown in the above-described embodiment is applied to a television commercial is shown, but it is not limited thereto. The above-described embodiment of the present disclosure can be applied to, for example, radio commercials, commercials distributed on the Internet, and the like. Those skilled in the art can replace and understand the description of the above-described embodiment as needed. For example, in the case of applying to radio commercials, the audience rating of the present disclosure can also be replaced with a listening rate.

[0140] Similar to the prohibited conditions, prohibited times, etc. described in the above-described embodiment, conditions (obtainable conditions), times (obtainable times), etc. can also be set for the distribution device 10, and at least one of the conditions and times is assumed to be an advertisement space that matches (or does not match) the setting of the event and can be obtained for the event. Those skilled in the art can also implement a method of replacing the above-described prohibited conditions / prohibited times with obtainable conditions / obtainable times and importing obtainable conditions / obtainable times based on appropriately replacing the inobtainable and possible content.

[0141] The "audience rating", "GRP", "TRP", "audience rating volume", etc. of the present disclosure can be replaced with each other, and can also be replaced by other indicators related to the audience rating or total audience rating.

[0142] In addition, the present disclosure also covers the content of replacing the "audience rating" with a specific indicator (or the improvement degree, deviation, etc. of a specific indicator). The specific indicator can be an indicator for judging the advertisement effect, an intermediate indicator for improving the key performance indicators (KPI) of an advertiser, etc., and can include, for example, recognition rate, coverage, ROAS (Return On Advertising Spend), ROI (Return on Investment), etc. At least a part of the description of the "audience rating" can also be replaced with any one of the above specific indicators.

[0143] The "indicator" in the present disclosure can be replaced with at least one of the following:

[0144] (1) Currency data in advertisement transactions (for example, household GRP, ALL, P+C7, etc.),

[0145] (2) Target individual audience rating (or TRP),

[0146] (3) Audience rating volume in a specific user segment (for example, the audience rating volume of consumers who often visit the advertiser's website, the audience rating volume of consumers who often search for a specific product, the audience rating volume of consumers who come to a specific store),

[0147] (4)Expected advertising effects (e.g., CPM (Cost Per Mille), CPA (Cost Per Action), CPI (Cost Per Install), etc.).

[0148] The user segments in the above (3) can also be derived from viewing histories (e.g., provided by the ratings management device 30) and data from the Data Management Platform (DMP). The allocation device 10 can also obtain information related to the ratings of a certain user segment from the ratings management device 30. The action data / location information of the users for deriving the user segments can be sent from the mobile communication terminal to the device of the DMP and used for analysis.

[0149] As the first / second / third rule, the allocation device 10 can utilize (consider) whether the advertising placement balance is satisfied in the optimization. The advertising placement balance can be specified in specific cycle units (weeks, days, times, etc.) or in specific metrics (e.g., GRP, TRP). The advertising placement balance can be determined based on the moment when consumers seek goods or services.

[0150] For example, for the advertisement allocation of a product brand with increased demand on sunny days, it can be linked with the weather forecast and apply the GRP balance specified value for daily advertising placement, so that more commercials are played on sunny days and as few as possible on rainy days. The allocation device 10 can also, for example, implement the allocation by taking the number of advertisement positions allocated on the day when the set GRP balance specified value for advertising placement = 0.5 as half of the number of advertisement positions allocated on the day when the set GRP balance specified value for advertising placement = 1.

[0151] In addition, the GRP balance specified value for advertising placement can also be set in the allocation device 10 in association with the acquisition status (or inventory) of the advertisement positions of the brand, the production status (supply status) of the products corresponding to the brand, the emotional memory state of the consumers, etc.

[0152] (Structure of the device)

[0153] Figure 6 It is a diagram showing an example of the functional structure of the allocation device according to an embodiment. As shown in this example, the allocation device 10 has a control unit 110, a storage unit 120, a communication unit 130, an input unit 140, and an output unit 150. In addition, in this example, mainly showing the functional modules of the characteristic parts in this embodiment, the allocation device 10 can also have other functional modules required for other processes. In addition, it can also be configured not to include some functional modules.

[0154] The control unit 110 controls the dispensing device 10. The control unit 110 may be constituted by a controller, a control circuit, or a control device as described by the consensus in the technical field related to the present disclosure.

[0155] The storage unit 120 stores (holds) the information used in the dispensing device 10. The storage unit 120 may be constituted by, for example, a memory, a storage device, a storage apparatus, etc. as described by the consensus in the technical field of the present disclosure.

[0156] The communication unit 130 communicates with other communication devices (machines, servers, etc.) via a network. The communication unit 130 may output various received information to the control unit 110.

[0157] The communication unit 130 may be constituted by a transmitter / receiver, a transmission / reception circuit, or a transmission / reception device as described by the consensus in the technical field related to the present disclosure. In addition, the communication unit 130 may also be constituted by a transmission unit and a reception unit.

[0158] The input unit 140 accepts input through operations from the user. In addition, the input unit 140 may also be connected to a prescribed device, a storage medium, etc. to accept the input of data. The input unit 140 may output the input result to the control unit 110, for example.

[0159] The input unit 140 may be constituted by input devices such as a keyboard, a mouse, buttons, etc., an input / output terminal, an input / output circuit, etc. as described by the consensus in the technical field of the present disclosure. In addition, the input unit 140 may also have a structure integrated with the display unit (for example, a touch panel).

[0160] The output unit 150 outputs data, content, etc. in a form that can be perceived by the user. For example, the output unit 150 may also be constituted by including a display unit that displays images, a sound output unit that outputs sounds, etc.

[0161] The display unit may be constituted by a display device such as a display, a monitor, etc. as described by the consensus in the technical field of the present disclosure. In addition, the sound output unit may be constituted by an output device such as a speaker as described by the consensus in the technical field of the present disclosure.

[0162] The output unit 150 may be constituted by including, for example, an arithmetic unit, an arithmetic circuit, an arithmetic device, a player, an image / video / sound processing circuit, an image / video / sound processing device, an amplifier, etc. as described by the consensus in the technical field of the present disclosure.

[0163] In addition, any one of or a combination of the communication unit 130, the input unit 140, and the control unit 110 may also be referred to as an acquisition unit. The acquisition unit may also acquire (receive, generate, derive) setting information related to dispensing.

[0164] The control unit 110 may also implement processing based on Figure 2 / Figure 3 the steps shown. For example, the control unit 110 may also determine which brand's advertising materials to allocate to each advertising space according to the above-mentioned setting information. For example, the control unit 110 may, under the condition of satisfying the first rule, determine a first allocation (advertising allocation corresponding to the solution in the above-mentioned step S201) that maximizes the minimum value among the achievement rates of a specific index (such as TRP) of each brand. Under the condition of satisfying the second rule, the control unit 110 may, based on the above-mentioned first allocation (after determining the first allocation or based on the solution related to the above-mentioned first allocation), determine a second allocation (advertising allocation corresponding to the solution in the above-mentioned step S202) that minimizes the difference between the maximum value and the minimum value of the achievement rates of all brands.

[0165] The specific index may be the target total rating points (TRP: Target Rating Point), and the above-mentioned first rule may include a limit that the total household rating points (GRP: Gross Rating Point) or the individual GRP is above the target value.

[0166] The above-mentioned second rule may include a limit that the minimum value of the achievement rates of all brands in the above-mentioned second allocation is above the minimum value of the above-mentioned rates of all brands in the above-mentioned first allocation.

[0167] Under the condition of satisfying the third rule, the control unit 110 may, based on the above-mentioned second allocation, determine a third allocation (advertising allocation corresponding to the solution in the above-mentioned step S203), which minimizes at least one of the deviation of the number of daily advertising spaces allocated to a specific brand and the number of consecutive allocation periods for programs adjacent in time.

[0168] In addition, the communication unit 130 may also send allocation information corresponding to the above-mentioned first allocation / above-mentioned second allocation / above-mentioned third allocation (for example, information indicating all advertising spaces to be allocated and the correspondence between the brands allocated to each advertising space) to the playback and distribution device 20 to enable it to implement the playback of commercial advertisements according to the allocation of the present disclosure.

[0169] The playback and distribution device 20, the rating management device 30, etc. may also have the same structure as Figure 6 If a person skilled in the art, they can appropriately replace and understand the descriptions related to the allocation device 10 in Figure 6 the description.

[0170] Hereinafter, several parts will be illustrated. In addition, with Figure 6The symbols of the respective devices corresponding to the respective functional modules are obtained by applying the first digit of the symbol representing each device (for example, if it is the playback and distribution device 20, it is the first digit "2" of "20") to Figure 6 the first digit to represent.

[0171] The communication unit 230 of the playback and distribution device 20 can receive distribution information corresponding to the above first distribution / above second distribution / above third distribution from the distribution device 10. The control unit 210 of the playback and distribution device 20 can also determine the commercial advertisement to be played during a specified time period based on the above distribution information. The communication unit 230 of the playback and distribution device 20 can also publish (send) the commercial advertisement.

[0172] The control unit 310 of the audience rating management device 30 can also derive information related to audience ratings, TRP, etc. based on the viewing logs of televisions (not shown) and send it to the distribution device 10.

[0173] (Hardware Structure)

[0174] In addition, the block diagrams used in the description of the above embodiments represent block diagrams of functional units. These functional modules (structural parts) are implemented by any combination of hardware and / or software. In addition, the implementation method of each functional module is not particularly limited. That is, each functional module can be implemented by a physically integrated device, or two or more physically separated devices can be connected by wire or wirelessly, and these multiple devices can implement it.

[0175] For example, the device (such as the distribution device 10) of an embodiment of the present disclosure can function as a computer for processing the advertisement material distribution method of the present disclosure. Figure 7 is a diagram showing an example of the hardware structure of the distribution device and the like of an embodiment. The above distribution device 10, playback and distribution device 20, etc. can also be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0176] In addition, in the present disclosure, devices, circuits, equipment, units, servers, etc. can be replaced with each other. The hardware structures of the distribution device 10, playback and distribution device 20, etc. can be configured to include one or more of the respective devices shown in the figure, or can also be configured not to include some devices.

[0177] For example, although only one processor 1001 is shown, there can also be multiple processors. In addition, the processing can be executed by 1 processor, or the processing can also be executed by 2 or more processors simultaneously, sequentially, or using other methods. In addition, the processor 1001 can also be implemented by more than 1 chip.

[0178] Each function in the distribution device 10, the playback and release device 20, etc. is implemented by loading a prescribed software (program) onto hardware such as the processor 1001 and the memory 1002, and the processor 1001 performs operations to control the communication of the communication device 1004 and the reading and / or writing of data in the memory 1002 and the storage 1003.

[0179] The processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be constituted by a central processing unit (CPU: Central Processing Unit) including an interface with peripheral devices, a control device, an arithmetic device, registers, etc. In addition, each unit such as the above control unit 110 may also be implemented by the processor 1001.

[0180] In addition, the processor 1001 reads a program (program code), a software module, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and performs various processes based on them. As the program, a program that causes the computer to execute at least a part of the operations described in the above embodiments is used. For example, the control unit 110 may be implemented by a control program stored in the memory 1002 and operating in the processor 1001, and other functional modules may be implemented in the same manner.

[0181] The memory 1002 is a computer-readable storage medium and may be constituted by at least one of, for example, a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically EPROM), a RAM (Random Access Memory), and other appropriate storage media. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), etc. The memory 1002 can store a program (program code), a software module, etc. that can be executed to implement the method of an embodiment.

[0182] The storage 1003 may be a computer-readable storage medium and may be constituted by at least one of, for example, a floppy disk, a floppy disk (registered trademark), a magneto-optical disk (e.g., a compact disc (CD-ROM) (Compact Disc ROM), etc.), a digital versatile disc, a Blu-ray (registered trademark) disc), a removable disk, a hard disk drive, a smart card, a flash device (e.g., a card, a stick, a key drive), a magnetic stripe, a database, a server, and other suitable storage media. The register 1003 may be referred to as an auxiliary storage device. In addition, the above storage unit 120 may also be implemented by the memory 1002 and / or the storage 1003.

[0183] The communication device 1004 is hardware (a transceiver device) for performing communication between computers via at least one of a wired network and a wireless network, and is also referred to as a network device, a network controller, a network card, a communication module, etc. The communication device 1004 may include a SIM card. In addition, the above communication unit 130 may also be implemented by the communication device 1004.

[0184] The input device 1005 is an input device (such as a keyboard, a mouse, etc.) that accepts input from the outside. The output device 1006 is an output device for realizing external output (such as a display, a speaker, etc.). In addition, the input device 1005 and the output device 1006 may also be of an integrated structure (such as a touch panel). In addition, the above input unit 140 and output unit 150 may also be implemented by the input device 1005 and the output device 1006, respectively.

[0185] In addition, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be constituted by a single bus or may be constituted by different buses between devices.

[0186] In addition, the distribution device 10, etc. may be constituted by including hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), an FPGA (Field Programmable Gate Array), etc., and may also implement a part or all of each functional module by this hardware. For example, the processor 1001 may be implemented by at least one of these hardwares.

[0187] (Variant example)

[0188] In addition, the terms described in the present disclosure and / or the terms required to understand the present disclosure may be replaced with terms having the same or similar meanings.

[0189] The information, parameters, etc. described in the present disclosure may be represented by absolute values, may be represented by relative values of specified values, or may be represented by corresponding other information. In addition, the names used for parameters, etc. in the present disclosure are not limited in any way.

[0190] Any one of a variety of different technologies can be used to represent the information, signals, etc. described in the present disclosure. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. mentioned within the scope of the above description can be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0191] Information, signals, etc. can also be input and output via multiple network nodes. The input and output information, signals, etc. can be stored in a specific place (such as memory), or can be managed using a table. The input and output information, signals, etc. can be overwritten, updated or appended. The output information, signals, etc. can also be deleted. The input information, signals, etc. can also be sent to other devices.

[0192] In addition, the notification of specified information (for example, the notification of "is X") is not limited to an explicit notification, and can also be implied (for example, by not making the notification of the specified information or by the notification of other information).

[0193] Software should be widely interpreted to mean instructions, instruction sets, codes, code segments, program codes, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, processes, functions, etc., regardless of whether they are called software, firmware, middleware, microcode, hardware description language or other names.

[0194] In addition, software, instructions, information, etc. can also be sent and received via at least one of a transmission medium and a signal waveform. For example, when software is sent from a website, server or other remote source using at least one of wired technologies (coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), etc.) and wireless technologies (infrared, microwave, etc.), at least one of these wired technologies and wireless technologies is included in the definition of the transmission medium.

[0195] The terms "system" and "network" used in the present invention can be used interchangeably.

[0196] Each mode / embodiment described in the present disclosure can be used alone, can be used in combination, or can be switched as they are executed. In addition, as long as there is no contradiction, the processing order, sequence, flowcharts, etc. of each mode / embodiment described in the present disclosure can also be changed. For example, for the methods described in the present disclosure, the elements of various steps are presented in an exemplary order and are not limited to the specific order presented.

[0197] The description of "based on" used in the present disclosure does not mean "only based on" unless otherwise specified. In other words, "based on" means both "only based on" and "at least based on".

[0198] Any reference to an element using terms such as "first", "second", etc. used in this disclosure does not generally limit the quantity or order of these elements. These terms can be used in this disclosure as a convenient method for distinguishing between more than two elements. Therefore, the reference to a first and a second element does not mean that only two elements can be adopted, or that the first element must precede the second element in a certain form.

[0199] In this disclosure, if the terms "include", "including" and their variants are used, these terms are meant to be as inclusive as the term "comprising". In addition, the term "or" used in this invention does not mean exclusive or logic sum.

[0200] In this disclosure, for example, when articles are added through translation as in the case of a, an, and the in English, the nouns following these articles in this disclosure can be in the plural form.

[0201] In this disclosure, "below", "less than", "above", "more", "equal to", etc. can be mutually replaced.

[0202] In this disclosure, "of", "for", "regarding", "related to", "associated with", etc. can be mutually replaced.

[0203] Above, the invention related to this disclosure has been described in detail. However, for those skilled in the art, the invention related to this disclosure is not limited to the embodiments described in this disclosure. The invention of this disclosure can be implemented in the form of amendments and changes without departing from the gist and scope of the invention determined according to the description of the claims. Therefore, the description of this disclosure is intended to be illustrative and does not provide any restrictive meaning to the invention according to this disclosure.

[0204] This application is based on Japanese Patent Application No. 2022-090751 filed on June 3, 2022. The entire content thereof is incorporated herein.

Claims

1. An advertisement material distribution system, characterized in that, it has: an acquisition unit that acquires setting information regarding distribution, which includes information related to a target value; and a control unit that, based on the setting information, determines information indicating a correspondence relationship between each advertisement space and the brand assigned to each advertisement space for which advertisement material of which brand among a plurality of brands is to be distributed to each advertisement space, wherein the control unit determines information indicating a first correspondence relationship under the condition of satisfying a first rule including a restriction that the total household rating points (GRP: Gross Rating Point) or the individual GRP is equal to or higher than the target value, and in the achievement rate of the target total rating points (TRP: Target Rating Point) of each brand, the minimum value of all brands is maximized, and the control unit determines information indicating a second correspondence relationship based on the information indicating the first correspondence relationship under the condition of satisfying a second rule, and in the second correspondence relationship, the difference between the maximum value and the minimum value of the achievement rates of all brands is minimized.

2. The advertisement material distribution system according to claim 1, characterized in that, the second rule includes the following restriction: the minimum value of the achievement rates of all brands in the information indicating the second correspondence relationship is equal to or higher than the minimum value of the achievement rates of all brands in the information indicating the first correspondence relationship.

3. The advertisement material distribution system according to claim 1, characterized in that, the control unit determines information indicating a third correspondence relationship based on the information indicating the second correspondence relationship under the condition of satisfying a third rule, and in the third correspondence relationship, at least one of the deviation of the number of advertisement spaces allocated daily for a specific brand and the number of consecutive allocation spaces for programs adjacent in time is minimized.

4. An advertisement material distribution device, characterized in that, it has: an acquisition unit that acquires setting information regarding distribution, which includes information related to a target value; and a control unit that, based on the setting information, determines information indicating a correspondence relationship between each advertisement space and the brand assigned to each advertisement space for which advertisement material of which brand among a plurality of brands is to be distributed to each advertisement space, wherein the control unit determines information indicating a first correspondence relationship under the condition of satisfying a first rule including a restriction that the total household rating points (GRP: Gross Rating Point) or the individual GRP is equal to or higher than the target value, and in the achievement rate of the target total rating points (TRP: Target Rating Point) of each brand, the minimum value of all brands is maximized, and determines information indicating a second correspondence relationship based on the information indicating the first correspondence relationship under the condition of satisfying a second rule, and in the second correspondence relationship, the difference between the maximum value and the minimum value of the achievement rates of all brands is minimized.

5. An advertisement material distribution method, characterized in that, it has: An acquisition step of acquiring, by an advertisement material distribution device, setting information regarding distribution that includes information related to a target value; and A determination step of determining, by the advertisement material distribution device, based on the setting information, information indicating a correspondence relationship between each advertisement space and the brand of advertisement material allocated to each advertisement space, for which brand of advertisement material among a plurality of brands is to be allocated to each advertisement space, The determination step includes: A step of the advertisement material distribution device determining information indicating the first correspondence relationship under the condition of satisfying a first rule including a restriction that the total household rating points (GRP: Gross Rating Point) or the individual GRP is equal to or higher than the target value, the first correspondence relationship maximizing the minimum value among all brands in the achievement rate of the target total rating points (TRP: Target Rating Point) of each brand; and A step of the advertisement material distribution device determining information indicating the second correspondence relationship based on the information indicating the first correspondence relationship under the condition of satisfying a second rule, the second correspondence relationship minimizing the difference between the maximum value and the minimum value of the achievement rates of all brands.

6. An advertisement material distribution program that causes a computer to execute processing, Characterized in that, The processing includes: An acquisition step of acquiring setting information regarding distribution that includes information related to a target value; and A determination step of determining, based on the setting information, information indicating a correspondence relationship between each advertisement space and the brand of advertisement material allocated to each advertisement space, for which brand of advertisement material among a plurality of brands is to be allocated to each advertisement space, The determination step includes: A step of determining information indicating the first correspondence relationship under the condition of satisfying a first rule including a restriction that the total household rating points (GRP: Gross Rating Point) or the individual GRP is equal to or higher than the target value, the first correspondence relationship maximizing the minimum value among all brands in the achievement rate of the target total rating points (TRP: Target Rating Point) of each brand; and A step of determining information indicating the second correspondence relationship based on the information indicating the first correspondence relationship under the condition of satisfying a second rule, the second correspondence relationship minimizing the difference between the maximum value and the minimum value of the achievement rates of all brands.

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