Content viewing analysis system and content viewing analysis method

Abstract

To provide a content viewing analysis system and a content viewing analysis method which, when a broadcast content and an IP content compared with this are IP transmitted, are capable of properly evaluating the actual condition of viewing the whole of them including an overlapping portion.SOLUTION: In a content viewing analysis system 1, a ready-to-win overlapping calculation model creation part 11 executes overlapping calculation model creation processing and thereafter a ready-to-win calculation part 12 calculates the number of ready-to-win unique users of overlapping viewing. An impression distribution model creation part 13 creates an impression distribution model between broadcast viewing of a broadcast content and viewing by IP content distribution.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a content viewing analysis system and a content viewing analysis method for analyzing overlapping viewing of broadcast content transmission and IP content transmission in content transmission in which broadcast content is transmitted via broadcasting and IP content transmission that transmits IP content in contrast to the broadcast content via a network are performed. [Background technology]

[0002] Conventionally, optimization of advertising space has been achieved by predicting target audience ratings with higher accuracy than a predetermined level using an advanced audience rating prediction device (SHARE) or the like, as described in Patent Document 1 below. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2018 / 131576 Summary of the Invention [Problem to be solved by the invention]

[0004] With such conventional advertising space optimization, although it was possible to predict impressions, etc. with a certain degree of accuracy for broadcast content transmission, i.e., television broadcasting, it was difficult to predict impressions, etc. with an accuracy comparable to the actual values ​​for overlap between broadcast content and IP content transmission, which transmits IP content in contrast to broadcast content via a network.

[0005] In view of the above circumstances, the present invention aims to provide a content viewing analysis system and a content viewing analysis method that can appropriately evaluate the overall viewing behavior of broadcast content and its corresponding IP content, including overlapping parts, when these content and IP content are transmitted via IP. [Means for solving the problem]

[0006] A content viewing analysis system of a first invention is a content viewing analysis system that analyzes overlapping viewing of broadcast content transmission and IP content transmission in a content transmission in which broadcast content is transmitted via broadcast and IP content transmission that transmits IP content that is contrasted with the broadcast content via a network, from cross-media panel data acquired from a single source, which analyzes broadcast viewing that has received and viewed the broadcast content transmission and IP viewing that has received and viewed the IP content transmission, a reach overlap calculation model creation unit that randomly extracts the broadcast content postings at multiple points in time and creates an approximation curve model that is an approximation curve in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data both converge to 100%; It is characterized by being equipped with:

[0007] According to the content viewing analysis system of the first invention, broadcast content submissions are randomly extracted at multiple points in time, and an approximation curve model is created in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data converges to 100%.This makes it possible to construct an overlap calculation model that is in line with reality, using a theoretical approximation curve that converges to 100%, while reflecting the actual degree of overlap between the reach % of IP viewing relative to the reach % of broadcast viewing.

[0008] In this way, according to the content viewing analysis system of the first invention, when broadcast content and IP content to be compared with it are transmitted via IP, the viewing status of the entire content, including overlapping parts, can be appropriately evaluated.

[0009] The content viewing analysis system of the second invention is the first invention, a reach calculation unit that applies the approximation curve model created by the reach overlap calculation model creation unit to broadcast viewing data other than the cross-media panel data to calculate the number of reach unique users of broadcast viewing and the number of reach unique users of overlapping viewing of broadcast viewing and IP viewing based on an estimated population; It is characterized by being equipped with:

[0010] According to the content viewing analysis system of the second invention, the created approximation curve model is applied to actual broadcast viewing data, such as viewership measured using a people meter (PM), and this is expanded and estimated based on demographic statistics, thereby making it possible to calculate the number of unique users reached by broadcast viewing and the number of unique users reached by overlapping broadcast and IP viewing that are in line with reality.

[0011] In this way, according to the content viewing analysis system of the second invention, when broadcast content and its corresponding IP content are transmitted via IP, the number of unique users reached, which represents the overall viewing situation of these content, can be appropriately evaluated, including the overlapping parts.

[0012] The content viewing analysis system of the third invention is the first invention, an impression allocation model creation unit that creates an impression allocation model based on the relative relationship between the contact frequency of the broadcast content through broadcast viewing, the contact frequency of the IP content through IP viewing, and the contact frequency through broadcast viewing and IP viewing; It is characterized by being equipped with:

[0013] According to the content viewing analysis system of the third invention, by creating an impression allocation model based on the relative relationship between the frequency of contact through broadcast viewing, the frequency of contact through IP viewing, and the frequency of contact through broadcast viewing and IP viewing, it is possible to realize impression allocation that is in line with reality, including the overlapping parts between broadcast viewing and IP viewing.

[0014] In this way, according to the content viewing analysis system of the third invention, when broadcast content and its corresponding IP content are transmitted via IP, it is possible to appropriately realize impression allocation, which is the overall viewing situation of these content, including overlapping parts.

[0015] A content viewing analysis system according to a fourth aspect of the present invention is the system according to the first aspect of the present invention, When the IP content transmission includes two transmission services, a television distribution service and a video sharing service, and when the broadcast content transmission, the television distribution service, and the video sharing service have a relationship in which they overlap with each other, the reach overlap calculation model creation unit creates the approximate curve model for each overlapping portion.

[0016] According to the content viewing analysis system of the fourth invention, when IP content transmission includes two transmission services, a television distribution service and a video hosting service, and the broadcast content transmission, the television distribution service, and the video hosting service have a relationship that includes overlapping portions with each other, the approximation curve model of the first invention can be applied to each of these overlapping portions.

[0017] In this way, according to the content viewing analysis system of the fourth invention, even when broadcast content and its corresponding IP content are distributed via two transmission services, namely a television distribution service and a video sharing service, it is possible to appropriately evaluate the overall viewing behavior of these content, including the overlapping parts.

[0018] According to the content viewing analysis method of the fifth invention, A content viewing analysis method for analyzing overlapping viewing of broadcast content transmission and IP content transmission in a content transmission in which broadcast content is transmitted via broadcast and IP content transmission that transmits IP content in contrast to the broadcast content via a network is performed, the method analyzing overlapping viewing of the broadcast content transmission and the IP content transmission from cross-media panel data acquired from a single source, the broadcast viewing that has been received and viewed and the IP viewing that has been received and viewed, A reach overlap calculation model creation process is a process of randomly extracting the broadcast content postings at multiple points in time and creating an approximation curve model in which the reach % of broadcast viewing and the reach % of IP viewing in the entire cross-media panel data both converge to 100%. It is characterized by being equipped with:

[0019] According to the content viewing analysis method of the fifth invention, broadcast content submissions are randomly extracted at multiple points in time, and an approximation curve model is created in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data converges to 100%, thereby making it possible to construct an overlap calculation model that is in line with reality using a theoretical approximation curve that converges to 100% while reflecting the actual degree of overlap between the reach % of IP viewing relative to the reach % of broadcast viewing.

[0020] In this way, according to the content viewing analysis method of the fifth invention, when broadcast content and IP content to be compared with it are transmitted via IP, the overall viewing status of these can be appropriately evaluated, including overlapping parts. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a schematic diagram showing a configuration of a content viewing analysis system according to an embodiment of the present invention. [Figure 2] FIG. 10 is a schematic diagram showing the processing content of the overlap calculation model creation processing. [Figure 3] FIG. 4 is a schematic diagram showing processing details in an impression allocation model creation process. DETAILED DESCRIPTION OF THE INVENTION

[0022] A content viewing analysis system 1 according to one embodiment of the present invention will be described below with reference to FIG.

[0023] As shown in Figure 1(A), the content viewing analysis system 1 comprises a reach overlap calculation model creation unit 11, a reach calculation unit 12, an impression allocation model creation unit 13, and an overlap calculation execution processing unit 14, and as shown schematically on the left side of Figure 1(B), it is a system that performs a total analysis taking into account overlapping viewing in the three viewing data from a total of three independent viewing data (cross-media panel data obtained from a single source): broadcast content transmission that transmits broadcast content via broadcasting, and IP content transmission that transmits IP content that is contrasted with the broadcast content via a network using two television distribution services and a video sharing service, as shown schematically on the right side of Figure 1(B).

[0024] Television distribution services include, in addition to the exemplified TVer (registered trademark), Amazon Prime Video (registered trademark), Netflix (registered trademark), Hulu (registered trademark), and video distribution services provided by Internet businesses such as Yahoo (registered trademark) and Rakuten (registered trademark). Video sharing services include, in addition to the exemplified YouTube (registered trademark), video sharing on Facebook (registered trademark) and X.

[0025] Furthermore, viewing on a television device connected to the Internet (connected TV) will also be treated as viewing IP content, i.e., viewing via television distribution services or video sharing services.

[0026] The reach overlap calculation model creation unit 11 randomly extracts broadcast content postings at multiple points in time and creates an approximation curve model that is an approximation curve in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data converges to 100%.

[0027] The reach calculation unit 12 applies the approximate curve model created by the reach overlap calculation model creation unit 11 to broadcast viewing data other than the cross-media panel data, and calculates the number of reach unique users for broadcast viewing and the number of reach unique users for overlapping viewing of broadcast viewing and IP viewing based on the estimated population.

[0028] The impression allocation model creation unit 13 creates an impression allocation model based on the relative relationship between the contact frequency of broadcast content through broadcast viewing, the contact frequency of the IP content through IP viewing, and the contact frequency through broadcast viewing and IP viewing.

[0029] The overlap calculation execution processing unit 14 executes various calculation processes, including overlap viewing (each quadrant on the right side of Figure 1(B)), in broadcast viewing and IP viewing (including either or both of television distribution services and video sharing services).

[0030] The above is the configuration of the content viewing analysis system 1 of this embodiment. In the above configuration, each of the processing units 11 to 14 is configured with hardware such as a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), etc., and functions as an arithmetic unit (sequencer) for executing various processes by storing and holding programs for executing various processes described below in memory (not shown) and executing the programs. Also, some or all of the processing units 11 to 14 may be configured with other servers (external servers), and the content viewing analysis system 1 may be realized by distributed processing.

[0031] Next, the processing performed by the content viewing analysis system 1 (the content viewing analysis method of the present invention) will be described.

[0032] In this embodiment, the viewing data used is cross-media panel data that contains TV viewing and internet usage history (application usage and web browsing) acquired from a single source. In addition, this cross-media panel data also makes it possible to acquire panel profiles (including attribute information such as information on gender and age, income, occupation, co-resident family composition, viewing attitudes, and purchasing attitudes) and survey information.

[0033] First, a process of calculating the number of reach unique users with overlapping viewing by the reach calculation unit 12 after the reach overlap calculation model creation unit 11 has executed the overlap calculation model creation process will be described.

[0034] First, in the overlap calculation model creation process, for example, advertisements for viewing television commercials, which are broadcast content, are randomly extracted at intervals of several thousand to several tens of thousands of points in time, and the reach % of the television commercial among users of a television distribution service (e.g., TVer), which transmits IP content, is calculated relative to the reach % of the television commercial among all panelists in the cross-media panel data.

[0035] Then, based on the user-based TV commercial reach percentage for all panelists, we create the overlap calculation model shown in Figure 2.

[0036] Such an overlap calculation model is created as an approximate curve model in which the TV commercial reach % and the TV commercial reach % among TVer users are approximate curves that converge to 100%.

[0037] Here, if the reach % of user-based TV commercials for the entire panel were simply multiplied by 1.1 or 0.9 by setting an overlap coefficient, an inconsistency would arise in which the overlap would be extremely small or large when the reach % of TV commercials for the entire panel is 100% or when the reach % of user-based TV commercials is 100%, compared to the line with an overlap coefficient of 1 shown for reference in the figure.

[0038] However, as described above, by creating an approximate curve model in which the TV commercial reach % and the TV commercial reach % among TVer users are approximate curves that converge to 100%, such inconsistencies do not occur.

[0039] Next, the reach calculation unit 12 applies the approximation curve model created by the reach overlap calculation model creation unit 11 to actual broadcast viewing data other than the cross-media panel data (for example, audience ratings measured using a people meter (PM)). Then, by expanding and estimating this based on demographic statistics, it is possible to calculate the number of reach unique users who overlap view a specific TV commercial for broadcast viewing and IP viewing (TVer users) in accordance with reality. At this time, it is also possible to calculate the number of reach unique users for broadcast viewing.

[0040] The above is the details of the process for calculating the number of reach unique users. Note that, in the above embodiment, the overlap between broadcast viewing and users of a television distribution service (for example, TVer) has been described, but by applying the same process to each of the three sets on the right side of Figure 1 (B) (more precisely, to each of the overlapping quadrants), it is possible to calculate the number of reach unique users of overlapping viewing for the overlapping parts of the sets.

[0041] Next, a description will be given of the impression allocation model creation process performed by the impression allocation model creation unit 13 to create an impression allocation model between broadcast viewing of broadcast content and viewing of a television distribution service (for example, TVer) that distributes IP content.

[0042] The impression allocation model creation process is based on the premise that the data that can be acquired differs between broadcast viewing of broadcast content and IP content distribution. For example, in the case of broadcast content, the total number of exposures to TV commercials can be acquired, whereas in the case of IP content distribution, the total number of operating minutes (including both TV distribution services and video hosting services) is acquired.

[0043] Therefore, in the impression allocation model creation process, first, the total number of exposures to TV commercials by panel and the total number of operating minutes of IP content distribution (both TVer and YouTube (registered trademark)) are obtained from the cross-media panel data.

[0044] Next, the panel is classified according to which media they used, and the frequency of media contact within each quadrant is calculated.

[0045] An impression allocation model is created based on the relative relationship between the media contact frequencies in each quadrant calculated in this way.

[0046] For example, as shown schematically in Figure 3, if the number of reached unique users UU obtained by the process of calculating the number of reached unique users described above is 50 people for TV only, 50 people for TV & TVer, and 50 people for TVer only, and the impressions imps obtained as data are 300 imps for TV and 200 imps for TVer, the impression allocation for TV only is adjusted depending on whether the frequency of TV contact is higher or lower than that for TV & TVer.

[0047] Specifically, impression allocation is adjusted based on the contact frequency based on the ratio of the average frequency obtained by dividing the impressions (imps) by the number of reach unique users (UU).

[0048] This prevents the inconsistency that would occur if impressions were simply distributed equally according to the number of unique users reached in each quadrant, where (A) TV imps and (B) TVer imps for TV&TVer are not necessarily the same as those for TV only and TVer only.

[0049] In this way, according to the impression allocation model creation process of this embodiment, by creating an impression allocation model based on the relative relationship between (1) the frequency of contact when viewing broadcast content on air, (2) the frequency of contact when viewing a television distribution service (e.g., TVer) that distributes IP content, and (3) the frequency of contact when viewing broadcast content and TVer content, it is possible to achieve impression allocation that is in line with reality, including the overlap between broadcast viewing and IP viewing.

[0050] The above is the details of the impression allocation model creation process. Note that, in the above embodiment, the creation of an impression allocation model for broadcast viewing and a television distribution service (for example, TVer) has been described, but by applying the same process to each of the three sets on the right side of Figure 1 (B) (more precisely, to each of the overlapping quadrants), it is possible to create an impression allocation model that includes the overlapping parts of the sets.

[0051] In this way, according to the content viewing analysis system 1 of this embodiment and the content viewing analysis method executed thereby, when broadcast content and its corresponding IP content are transmitted via IP, the overall viewing behavior of these contents, including overlapping parts, can be appropriately evaluated.

[0052] In this embodiment, the case where the content is the same as a television commercial and IP content is transmitted via IP has been described, but the contents to be compared do not necessarily have to be identical, and IP content to be compared with the broadcast content can be selected and applied.

[0053] Furthermore, in this embodiment, the content may be a target program (television program) in addition to commercial material (television commercial material), or may be a radio program or radio commercial that does not include video. [Explanation of symbols]

[0054] 1...content viewing analysis system, 11...reach overlap calculation model creation unit, 12...reach calculation unit, 13...impression allocation model creation unit, 14...overlap calculation execution processing unit.

Claims

1. In a content viewing analysis system in which broadcast content transmission is performed by transmitting broadcast content via broadcasting and IP content transmission is performed by transmitting IP content that is contrasted with the broadcast content via a network, the system analyzes overlapping viewing of the broadcast content transmission and the IP content transmission from cross-media panel data acquired from a single source, the broadcast viewing that is received and viewed by the broadcast content transmission and the IP viewing that is received and viewed by the IP content transmission, a reach overlap calculation model creation unit that randomly extracts the broadcast content postings at multiple points in time and creates an approximation curve model that is an approximation curve in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data converges to 100%; A content viewing analysis system comprising:

2. 2. The content viewing analysis system according to claim 1, a reach calculation unit that applies the approximation curve model created by the reach overlap calculation model creation unit to broadcast viewing data other than the cross-media panel data to calculate the number of reach unique users of broadcast viewing and the number of reach unique users of overlapping viewing of broadcast viewing and IP viewing based on an estimated population; A content viewing analysis system comprising:

3. 2. The content viewing analysis system according to claim 1, an impression allocation model creation unit that creates an impression allocation model based on the relative relationship between the contact frequency of the broadcast content through broadcast viewing, the contact frequency of the IP content through IP viewing, and the contact frequency through broadcast viewing and IP viewing; A content viewing analysis system comprising:

4. 2. The content viewing analysis system according to claim 1, A content viewing analysis system characterized in that when the IP content transmission includes two transmission services, a television distribution service and a video sharing service, and when the broadcast content transmission, the television distribution service, and the video sharing service have overlapping portions, the reach overlap calculation model creation unit creates the approximate curve model for each overlapping portion.

5. A content viewing analysis method for analyzing overlapping viewing of broadcast content transmission and IP content transmission in a content transmission in which broadcast content is transmitted via broadcast and IP content transmission that transmits IP content in contrast to the broadcast content via a network is performed, the method analyzing overlapping viewing of the broadcast content transmission and the IP content transmission from cross-media panel data acquired from a single source, the broadcast viewing that has been received and viewed and the IP viewing that has been received and viewed, A reach overlap calculation model creation process in which the broadcast content postings are randomly extracted at multiple points in time, and an approximation curve model is created in which the reach % of IP viewing relative to the reach % of broadcast viewing in the entire cross-media panel data both converge to 100%. A content viewing analysis method comprising:

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