JP2018198005A - Information processing device, information processing method, program, and data structure - Google Patents

Abstract

To improve the accuracy to measure advertising effectiveness.SOLUTION: In an information processing device 4, a distribution date/time acquisition unit 410 acquires the distribution date/time of an advertisement shown in the content distributed via a broadcast wave. A counting unit 413 counts an acquisition number representing the number of users acquiring the content by accessing to the server providing the content, within a measurement period from the moment after the advertisement is distributed until the moment when a prescribed measurement execution threshold time elapses. An effectiveness calculation unit 414 calculates an indicator indicating the effectiveness of the advertisement based on the acquisition number. An effectiveness indicator output unit 415 outputs the indicator.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an information processing apparatus, an information processing method, a program, and a data structure, and more particularly, to a technique for measuring an advertising effect.

  A technique has been proposed in which an email address is assigned to each offline campaign or advertising medium, and the number of applicants who have sent an email to the email address is used for measuring the advertising effectiveness of the campaign or advertising medium (Patent Document 1). .

JP 2002-140616 A

  It can be said that the purpose of the advertisement is achieved by the user actually accessing the advertisement target that is the purpose of the advertisement. With the above technology, the number of applicants for a campaign or advertising medium can be reflected in the measurement of advertising effectiveness. Is not limited. For this reason, it cannot be said that the advertisement effect can be measured appropriately only by acquiring the number of applicants, and there is room for improvement in the advertisement effect measurement technique.

  This invention is made | formed in view of the said subject, and it aims at providing the technique which improves the precision of the measurement of an advertising effect.

  A first aspect of the present invention is an information processing apparatus. This apparatus includes a distribution date and time acquisition unit that acquires a distribution date and time of an advertisement of content distributed using a broadcast wave, and a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed. A counting unit that counts the number of acquisitions that is the number of users who have acquired the content by accessing a server that provides the content; and an effect calculation unit that calculates an index indicating the effectiveness of the advertisement based on the acquisition number And an effect index output unit for outputting the index.

  The information processing apparatus includes a curve approximation unit that approximates a time variation of the number of users who have acquired the content by accessing a server that provides the content after the advertisement is distributed, and the approximated curve And a measurement range setting unit that sets the measurement execution threshold time based on the attenuation amount.

  The counting unit may count the number of users who have accessed the server and installed the content on a terminal.

  The counting unit may count the number of the users when the content installed in the terminal is activated for the first time.

  The information processing apparatus may further include an attribute management unit that acquires attribute information of a user who acquired the content from an attribute database that stores attribute information of each user of the terminal, and the effect calculation unit includes: The index may be calculated for each attribute set for the user.

  The counting unit may count the number of times of use, which is the number of times the content is activated during a predetermined period after the content is installed on the user's terminal. The number of times of use may be stored in the database in association with the user.

  The effect calculation unit may calculate, as the index, an increase number that is a value obtained by subtracting a steady acquisition number calculated from an acquisition number outside the measurement execution threshold time from an acquisition number within the measurement execution threshold time.

  The information processing apparatus may further include an advertising cost calculation unit that calculates an advertising cost per content provision by dividing the cost required for the advertisement by the increased number.

  The second aspect of the present invention is an information processing method. In this method, a processor acquires a delivery date and time of an advertisement of content distributed using a broadcast wave, and within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed Counting a number of acquisitions that is the number of users who have acquired the content by accessing a server that provides the content, calculating an index indicating the effectiveness of the advertisement based on the acquisition number, and the index And a step of outputting.

  The third aspect of the present invention is a program. This program has a function of acquiring a delivery date and time of an advertisement of content distributed using broadcast waves to a computer and within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed. A function of counting the number of acquisitions that is the number of users who have acquired the content by accessing a server that provides the content, a function of calculating an index indicating the effectiveness of the advertisement based on the acquisition number, and the index And the function of outputting.

  A fourth aspect of the present invention is a data structure of electronic data for calculating an index indicating the effect of content advertisement. This data structure includes a distribution date and time when the advertisement is distributed using broadcast waves, and transition data of the number of users who have acquired the content by accessing a server that provides the content after the advertisement is distributed. ,including.

  The data structure may further include a curve that approximates a time variation of the number of users, and a measurement execution threshold time that defines a time range for counting the number of users in order to calculate the effect of the advertisement.

  The data structure is the number of users who have accessed the server that provides the content and acquired the content within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed It may further include a number.

  According to the present invention, it is possible to improve the accuracy of measuring the advertising effect.

It is a figure for demonstrating the outline | summary of the information processing apparatus which concerns on embodiment. It is a figure which shows typically the function structure of the information processing apparatus which concerns on embodiment, and an advertisement information database. It is a figure which shows typically the data structure of the delivery database which concerns on embodiment. It is a figure which shows typically the graph which shows the time fluctuation | variation of the number of users who acquired content. It is a figure which shows typically the data structure of the user information database which concerns on embodiment. It is a flowchart for demonstrating the flow of the information processing which the information processing apparatus which concerns on embodiment performs.

<Outline of the embodiment>
FIG. 1 is a diagram for explaining the outline of the information processing apparatus 4 according to the embodiment, and more specifically, is a schematic diagram illustrating a flow from distribution of an advertisement to output of an index indicating an advertisement effect. The outline of the embodiment will be described with reference to FIG. In the following description, the numbers (1) to (9) are assigned, and these descriptions correspond to (1) to (9) in FIG.

  (1). The advertiser A requests the broadcasting station 1 for an advertisement related to a product or service, or content such as an application used by the user U when purchasing the product or providing the service. Specifically, the advertiser A requests the broadcast station 1 to distribute advertisements related to content via an advertising agency (not shown). For convenience of explanation, the following description will be given by taking as an example the case where the advertiser A requests the broadcast station 1 for an advertisement related to content such as a smartphone application.

(2). The broadcasting station 1 is a broadcasting station such as a television broadcasting station or a radio broadcasting station, and distributes content advertisements using broadcast waves.
(3). The user U views the advertisement distributed by the broadcast station 1 by receiving broadcast waves with a receiving device such as a television or radio in the viewing environment 2 such as the home of the user U, for example.

  (4). A user U who views an advertisement distributed by the broadcast station 1 accesses the content server 3 via a communication network N such as the Internet using a user terminal such as a smartphone.

  (5). The content server 3 is a server that provides content to be advertised. The content server 3 provides content to the content server 3 in response to a request from the user terminal. The user terminal installs the content downloaded from the content server 3.

(6). The information processing device 4 is a device for measuring the effect of the advertisement. The information processing device 4 acquires information related to the provision of content from the content server 3 via the communication network N and stores it in the advertisement information database 6.
(7). Further, the information processing apparatus 4 acquires information related to advertisement distribution from the broadcasting station 1 via the communication network N and stores the information in the advertisement information database 6.

  Here, “information relating to provision of content” refers to information for identifying the user U who owns the user terminal that acquired the content to be advertised, and for specifying the date and time when the content was activated on the user terminal. Information including at least information. The content server 3 is a server managed by a communication company with which the user U has a communication contract, or an administrator entrusted to the communication company, and an attribute database 5 for storing attribute information of each user U of the user terminal; Can be accessed. For this reason, the content server 3 can provide the information processing apparatus 4 with information related to the provision of the content in response to a request from the information processing apparatus 4.

  The “information related to advertisement distribution” includes information for specifying the type of advertisement distributed by the broadcasting station 1, information for specifying the distribution date and time, and information for specifying the distribution area. Information that contains at least.

  (8). The information processing apparatus 4 calculates an index indicating the effect of advertisement distribution based on information regarding content provision and information regarding advertisement distribution. More specifically, the information processing device 4 determines the number of users who have accessed the content server 3 and acquired the content within a measurement period until a predetermined measurement execution threshold time has elapsed after the advertisement is distributed. Count a certain number of acquisitions.

  (9). The information processing apparatus 4 provides the calculated index to the advertiser A via an advertising agency or the like. Thereby, the advertiser A can grasp the effect of the advertisement that is requested and distributed to the broadcasting station 1. The information processing apparatus 4 counts the number of contents acquired within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed. For this reason, the information processing device 4 can quantitatively measure the direct effect of the advertisement for each time slot and each distribution advertisement. As a result, the information processing apparatus 4 can improve the accuracy of measuring the advertising effect.

<Functional Configuration of Information Processing Device 4>
Subsequently, functional configurations of the information processing apparatus 4 and the advertisement information database 6 according to the embodiment will be described.

  FIG. 2 is a diagram schematically illustrating a functional configuration of the information processing device 4 and the advertisement information database 6 according to the embodiment. The information processing apparatus 4 according to the embodiment includes a storage unit 40 and a control unit 41. The control unit 41 includes a distribution date acquisition unit 410, a curve approximation unit 411, a measurement range setting unit 412, a counting unit 413, an effect calculation unit 414, an effect index output unit 415, an attribute management unit 416, and an advertisement cost calculation unit 417. . The advertisement information database 6 includes a distribution database 60 and a user information database 61.

  The storage unit 40 includes a ROM (Read Only Memory) that stores a BIOS (Basic Input Output System) or the like of the information processing apparatus 4, a RAM (Random Access Memory) that is a work area of the information processing apparatus 4, and an OS (Operating System). And a mass storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) for storing application programs and the like.

  The control unit 41 is a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit) of the information processing device 4, and executes a program stored in the storage unit 40, thereby causing a distribution date and time acquisition unit 410, a curve It functions as an approximation unit 411, a measurement range setting unit 412, a counting unit 413, an effect calculation unit 414, an effect index output unit 415, an attribute management unit 416, and an advertisement cost calculation unit 417.

  The distribution date acquisition unit 410 refers to the advertisement information database 6 and acquires the distribution date of the advertisement of the content distributed using the broadcast wave. The curve approximating unit 411 approximates the time variation of the number of users U who have accessed the content server 3 and acquired the content after the advertisement is distributed with a curve. The measurement range setting unit 412 sets the measurement execution threshold time based on the approximate curve attenuation amount.

  FIG. 3 is a diagram schematically illustrating a data structure of the distribution database 60 according to the embodiment. The distribution database 60 has a data structure of electronic data for calculating an index indicating the effect of content advertisement, and manages an advertisement identifier for uniquely identifying each advertisement assigned to each advertisement. FIG. 3 exemplifies “information regarding advertisement distribution” for an advertisement whose advertisement identifier is CIDYYYY.

  Specifically, the distribution database 60 stores, for each advertisement identifier, a file that stores distribution date and time, advertisement target content, a distribution area identifier for specifying a region where the advertisement is distributed, and transition data of the number of advertisement target content acquisitions. The name, the type of curve used by the curve approximation unit 411 for approximation, the information that the measurement range setting unit 412 refers to for setting the measurement execution threshold time, and the cost required for the advertisement are stored in association with each other.

  The distribution date and time acquisition unit 410 refers to the distribution database 60 and acquires the distribution date and time. Similarly, the curve approximation unit 411 refers to the distribution database 60 and identifies the type of curve used for approximation. Further, the measurement range setting unit 412 refers to the distribution database 60 and acquires information that is referred to in order to set the measurement execution threshold time.

  Hereinafter, the curve approximation process by the curve approximation unit 411 and the threshold value setting process by the measurement range setting unit 412 will be described with reference to FIG.

  FIG. 4 is a diagram schematically showing a graph showing the time variation of the number of users U who have acquired the content. In the graph shown in FIG. 4, the horizontal axis represents time t, and the vertical axis represents the number of users who have acquired content (hereinafter referred to as “acquisition number”). Specifically, the vertical axis represents the number of content acquisitions per unit time. The curve approximation unit 411 reads the file storing the acquired transition data with reference to the distribution database 60, and creates the graph shown in FIG.

  In FIG. 4, time b is an advertisement delivery date and time. In the example shown in FIG. 4, before the time b, the average number of content acquisitions per unit time is c. Since the advertisement was distributed at time b, the number of acquisitions increased to a + c because the user U who viewed the advertisement acquired the content. Thereafter, when a predetermined period Dth has elapsed, the average value of the number of acquisitions has again settled on c.

  The curve approximation unit 411 fits the change in the number of acquisitions after time b with a curve. Specifically, the curve approximation unit 411 fits the change over time in the number of acquisitions after time b with a half Gaussian curve expressed by the following equation (1).

ここでｙは取得数を表し、σは標準偏差を表す。

Here, y represents the number of acquisitions and σ represents a standard deviation.

  In the curve shown in Equation (1), y reaches the maximum value a + c at time b, and thereafter decreases with the elapse of time t. In equation (1), time b is known because it is acquired by the delivery date acquisition unit 410. c is also known because the number of acquisitions per unit time before time b is an average. Furthermore, a is known because it is a value obtained by subtracting the average value c from the number of acquisitions at time b. Therefore, σ is the only variable required to determine the form of equation (1). The curve approximation unit 411 determines the equation (1) by calculating σ so that the error between the curve shown by the equation (1) and the number of acquisitions y after the time b is small.

  The measurement range setting unit 412 calculates the measurement execution threshold time based on the curve equation determined by the curve approximation unit 411. Although it depends on the magnitude of σ, in general, it can be said that the half Gaussian curve represented by the expression (1) takes the value of c approximately after the time of 3σ from the time b. Therefore, the measurement range setting unit 412 sets a value of 3σ as the measurement execution threshold time. The predetermined period Dth shown in FIG. 4 corresponds to a length three times as long as σ in Expression (1).

  The measurement execution threshold time is a so-called estimated value of the influence range of the advertisement in the time variation of the acquisition number y, and can be said to be a time range in which the number of users U is counted in order to calculate the effect of the advertisement. The measurement range setting unit 412 calculates the measurement execution threshold time based on the equation of the curve determined by the curve approximation unit 411, whereby the advertisement effect can be measured with higher accuracy.

  Returning to the description of FIG. The counting unit 413 accesses the content server 3 and acquires the content within the measurement period until the measurement execution threshold time set by the measurement range setting unit 412 elapses after the time b when the advertisement is distributed. The total number of acquisitions Y, which is the number of Specifically, the counting unit 413 executes the calculation represented by the following formula (2).

なお、式（２）中の関数ｆ（ｔ）は、式（１）中のｆ（ｔ）である。

Note that the function f (t) in the equation (2) is f (t) in the equation (1).

  The total acquisition number Y in the equation (2) is the total number of users U who have accessed the content server 3 and acquired content between time b and time b + 3σ. The effect calculation unit 414 calculates an index indicating the effect of the advertisement based on the total number of acquisitions Y calculated by the counting unit 413. As described above, the effect calculation unit 414 calculates the advertisement effect based on the number of users who actually acquired the advertisement target content distributed using the broadcast wave, and thus can accurately measure the effect of the advertisement. .

  The effect index output unit 415 provides the advertiser A with the index calculated by the effect calculation unit 414 via an advertising agency or the like. Thereby, the advertiser A can grasp the effect of the advertisement that is requested and distributed to the broadcasting station 1.

  The effect calculation unit 414 calculates an increase number I, which is a value obtained by subtracting the steady acquisition number calculated from the acquisition number outside the measurement execution threshold time from the total acquisition number Y within the measurement execution threshold time shown in Expression (2), as the index. Calculate as As described above, outside the measurement execution threshold time, the number of content acquisitions per unit time is c. Therefore, the number C of steady acquisitions within the measurement execution threshold time is expressed by Expression (3).

  As described above, the effect calculation unit 414 calculates the increase number I = Y−C as an index indicating the effect of the advertisement. The increase number I is the area of a region indicated by hatching in FIG. As described above, the effect calculation unit 414 can measure the advertisement effect more accurately by eliminating the steady number of content acquisitions.

Next, the counting process of the number of users by the counting unit 413 will be described in more detail.
The counting unit 413 accesses the content server 3 and counts the number of users U who actually installed the content on the user terminal. When the content to be advertised is digital content such as a smartphone application, the counting unit 413 counts the number of actually installed users. Thereby, the effect of advertisement can be measured more accurately. Note that the counting unit 413 may count the number of users U who have acquired the campaign code distributed by the content provider, instead of the number of users U who actually installed the content on the user terminal.

  FIG. 5 is a diagram schematically illustrating the data structure of the user information database 61 according to the embodiment. The user information database 61 manages each user U by assigning a user identifier for uniquely identifying each user U possessing the user terminal.

  FIG. 5 shows “content provision information” for the user U whose user identifier is UIDXXXX. The user information database 61 is managed by the attribute management unit 416. The attribute management unit 416 acquires the attribute information of the user U who acquired the content by referring to the attribute database 5 and stores it in the user information database 61.

  The user information database 61 stores, for each user identifier, the age, gender, residence area of the user U, information on the application installed on the user terminal by the user U, and the activation history of the application that is the content to be advertised. Yes.

  As shown in FIG. 5, in the application activation history, the date and time when the content to be advertised is activated in the user terminal is stored in chronological order. The counting unit 413 can count the number of users who actually installed the advertisement target content by referring to the user information database 61.

  Here, the oldest date and time in the application activation history is the date and time when the user U installed the content to be advertised on the user terminal. The counting unit 413 may count the number of users U when the content installed in the terminal is activated for the first time. The counting unit 413 can measure the advertising effect with higher accuracy by counting the number of users who have actually activated the content.

  Further, the counting unit 413 refers to the user information database 61, and counts the total number of acquisitions Y for each attribute set for the user U (for example, each user's age, sex, residential area, installed application). May be. Thereby, the effect calculation part 414 can calculate the parameter | index which shows the effect of an advertisement for every attribute set to the user U. FIG.

  For example, normal TV commercials vary from region to region. For this reason, when the counting unit 413 counts the total number of acquisitions Y for each region, the effect of the advertisement can be measured with higher accuracy. In addition, since the advertising effect can be measured for each attribute of the user U, it can be used for correcting the target of the advertisement or correcting the effect of the advertisement.

  If the user terminal includes a position acquisition device such as GPS (Global Positioning System), the effect calculation unit 414 replaces the residence area of the user U stored in the attribute database 5 with the position acquisition device. The output result may be used as a user attribute.

  The counting unit 413 may count the number of times of use, which is the number of times the content is activated after the content is installed in the user terminal of the user U until a predetermined period elapses. The attribute management unit 416 stores the usage count in the user information database 61 in association with the user U. The counting unit 413 counts the number of times each user U uses the content, whereby the quality of the customer can be measured from the viewpoint of the content usage frequency.

  Therefore, the “predetermined period” is a “customer determination counting period” that the counting unit 413 refers to to determine the quality of the customer. The predetermined period may be determined by experiment in consideration of the type of content to be advertised, etc., for example, one week. The counting unit 413 may measure the number of times the user U starts the application during a predetermined period, and store a user with a high number of startups in the user information database 61 as a user with a high use frequency of the application.

  As described above, the case where the effect of the advertisement is measured from the viewpoint of the number of users U accessing the content has been described. On the other hand, even if the number of users U who have accessed the content is increased, it may be difficult to say that the effect is high from the viewpoint of cost effectiveness when the cost required for this is high.

  Therefore, the advertisement cost calculation unit 417 refers to the user information database 61 and acquires the cost required for the advertisement. The advertising cost calculation unit 417 calculates the advertising cost (Cost Per Install; CPI) per content provision by dividing the acquired cost by the increase number I calculated by the effect calculation unit 414. The effect index output unit 415 provides the advertiser A with the CPI calculated by the advertisement cost calculation unit 417. Thereby, the advertiser A can grasp | ascertain the effect of an advertisement from a viewpoint of cost.

  Further, when a plurality of different types of advertisements are distributed, the advertisement cost calculation unit 417 may select only an advertisement having a CPI higher than a threshold as an advertisement having a high effect. The effect index output unit 415 may notify the advertiser of the advertisement selected by the advertisement cost calculation unit 417. Thereby, the advertiser can grasp the advertisement with high advertising effect from a quantitative viewpoint.

<Processing Flow of Information Processing Performed by Information Processing Device 4>
FIG. 6 is a flowchart for explaining the flow of information processing executed by the information processing apparatus 4 according to the embodiment. The processing in this flowchart starts when the information processing apparatus 4 is activated, for example.

  The distribution date and time acquisition unit 410 acquires the distribution date and time of the advertisement of the content distributed using the broadcast wave (S2). After the advertisement is distributed, the curve approximating unit 411 accesses the content server 3 that provides the content and acquires the time variation of the number of users U who have acquired the content (S4).

  The curve approximation unit 411 approximates the obtained time variation of the number of users with a curve obtained by referring to the distribution database 60 (S6). The measurement range setting unit 412 sets the measurement execution threshold time based on the attenuation amount of the curve approximated by the curve approximation unit 411 (S8).

  The counting unit 413 counts and acquires the number of acquisitions that are the number of users who have accessed the content server 3 and acquired content within the measurement period until the measurement execution threshold time elapses after the advertisement is distributed. (S10).

  The effect calculation unit 414 calculates an index indicating the effect of the advertisement based on the acquisition number acquired by the counting unit 413 (S12). The effect index output unit 415 outputs the index calculated by the effect calculation unit 414 (S14).

  When the effect index output unit 415 outputs an index, the processing in this flowchart ends.

<Effects of information processing apparatus 4 according to the embodiment>
As described above, according to the information processing apparatus 4 according to the embodiment, it is possible to improve the accuracy of measuring the advertising effect. In particular, since the information processing apparatus 4 calculates the advertising effect based on the number of users who actually acquired the advertising target content distributed using broadcast waves, the information processing device 4 can accurately measure the advertising effect.

  The effect of broadcast wave advertisements varies greatly depending on the time zone and the content of the broadcast. However, since broadcast ads are temporary and do not remain in shape, they are evaluated for each time zone and each delivery ad. Is difficult. The information processing apparatus 4 according to the embodiment can calculate the effect of the broadcast wave advertisement for each time slot and distribution advertisement, and quantitatively compare the evaluations between advertisements.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment, A various deformation | transformation and change are possible within the range of the summary. is there. For example, the specific embodiments of device distribution / integration are not limited to the above-described embodiments, and all or a part of them may be configured to be functionally or physically distributed / integrated in arbitrary units. Can do. In addition, new embodiments generated by any combination of a plurality of embodiments are also included in the embodiments of the present invention. The effect of the new embodiment produced by the combination has the effect of the original embodiment.

  In the above, the case where the curve approximation unit 411 approximates the time variation of the number of users U who have acquired the content with a half Gaussian curve has been described. The curve approximation unit 411 may approximate the time variation with another curve instead of the half Gaussian curve. For example, approximation may be performed using a polynomial, a probability density function of a Laplace distribution in a positive region, or the like.

  In the above description, the smartphone application is mainly described as an example of the content for dealing with advertisements. However, the content for dealing with advertisements is not limited to the smartphone application, and may be products such as clothing, electrical appliances, and daily necessities. In this case, the content server 3 is a server that provides an online store, and the counting unit 413 accesses the content server 3 and places an order for a product within a measurement period after the advertisement is executed until the measurement execution threshold time elapses. What is necessary is just to count the number of the users U who performed.

  Further, the information processing apparatus 4 may include a position information acquisition unit (not shown). The position information acquisition unit can acquire position information indicating the location of the user terminal from the user terminal. The effect calculation unit 414 may determine whether a certain user U stayed at a location associated with the downloaded content within a predetermined time from the download date and time. Thereby, the effect calculation part 414 can calculate the effect of whether the user U visited the actual store linked | related with the content of advertisement object.

  The effect calculation unit 414 calculates the number of contents erased within a predetermined period from the number of contents acquired by the user U in the user terminal, and calculates the difference between the user's expectation by the advertisement and the actual content evaluation May be. The effect calculation unit 414 can realize whether or not the user U has deleted the content from the user terminal by periodically acquiring information on the installed application type from the user terminal.

DESCRIPTION OF SYMBOLS 1 ... Broadcasting station 2 ... Viewing environment 3 ... Content server 4 ... Information processing apparatus 40 ... Memory | storage part 41 ... Control part 410 ... Delivery date acquisition part 411 ... Curve Approximation unit 412 ... measurement range setting unit 413 ... counting unit 414 ... effect calculation unit 415 ... effect index output unit 416 ... attribute management unit 417 ... advertising cost calculation unit 5 ... Attribute database 6 ... advertisement information database 60 ... distribution database 61 ... user information database N ... communication network

Claims (13)

A distribution date and time acquisition unit for acquiring the distribution date and time of advertisements of content distributed using broadcast waves;
Count that counts the number of acquisitions that are the number of users who have accessed the server that provides the content and acquired the content within a measurement period after the advertisement is delivered and until a predetermined measurement execution threshold time elapses And
An effect calculating unit that calculates an index indicating the effect of the advertisement based on the acquired number;
An effect index output unit for outputting the index;
An information processing apparatus comprising: A curve approximation unit that approximates the time variation of the number of users who have accessed the server that provides the content and acquired the content after the advertisement is distributed, with a curve;
A measurement range setting unit that sets the measurement execution threshold time based on the approximate attenuation amount of the curve;
The information processing apparatus according to claim 1, further comprising: The counting unit counts the number of users who have accessed the server and installed the content on a terminal.
The information processing apparatus according to claim 1 or 2. The counting unit counts the number of users when the content installed in the terminal is activated for the first time,
The information processing apparatus according to claim 3. An attribute management unit that acquires attribute information of a user who acquired the content from an attribute database that stores attribute information of each user of the terminal;
The effect calculation unit calculates the index for each attribute set for the user.
The information processing apparatus according to claim 3 or 4. The counting unit counts the number of times of use, which is the number of times the content has been activated between the time when the content is installed on the user's terminal and the elapse of a predetermined period.
The attribute management unit stores the usage count in a database in association with the user.
The information processing apparatus according to claim 5. The effect calculation unit calculates, as the index, an increase number that is a value obtained by subtracting a steady acquisition number calculated from an acquisition number outside the measurement execution threshold time from the acquisition number within the measurement execution threshold time.
The information processing apparatus according to any one of claims 1 to 6. An advertisement cost calculation unit that calculates an advertisement cost per content provision by dividing the cost required for the advertisement by the increased number,
The information processing apparatus according to claim 7. Processor
Obtaining a delivery date and time of an advertisement for content delivered using broadcast waves;
A step of counting the number of acquisitions that is the number of users who have acquired the content by accessing the server that provides the content within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed When,
Calculating an indicator of the effectiveness of the advertisement based on the acquired number;
Outputting the indicator;
Information processing method to execute. On the computer,
A function for acquiring the delivery date and time of advertisements for content delivered using broadcast waves;
A function of counting the number of acquisitions that is the number of users who have acquired the content by accessing the server that provides the content within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed When,
A function of calculating an index indicating the effectiveness of the advertisement based on the acquired number;
A function of outputting the index;
A program that realizes A data structure of electronic data for calculating an index indicating the effectiveness of content advertising,
Distribution date and time when the advertisement was distributed using broadcast waves,
Transition data of the number of users who have accessed the server providing the content and acquired the content after the advertisement has been distributed;
A data structure containing A curve approximating the time variation of the number of users;
A measurement execution threshold time that defines a time range for counting the number of users in order to calculate the effect of the advertisement;
The data structure of claim 11 further comprising: Further including an acquisition number that is the number of users who have accessed the server providing the content and acquired the content within a measurement period until a predetermined measurement execution threshold time elapses after the advertisement is distributed,
The data structure according to claim 11 or 12.

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