Fan acquisition support device and fan acquisition support system
The fan acquisition support device classifies fans by spending behavior to tailor promotions, improving satisfaction and investment return by addressing the uniformity issue in existing systems.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- ADK EMOTIONS CO LTD
- Filing Date
- 2025-12-24
- Publication Date
- 2026-06-15
Smart Images

Figure 0007873947000001_ABST
Abstract
Description
【Technical Field】 【0001】 The present invention relates to a fan acquisition support device and a fan acquisition support system. 【Background Art】 【0002】 Conventionally, in so-called "contents" such as anime, manga, games, characters, dramas, movies, videos, artists, creators, idols, etc., there are fans who love these. 【0003】 When trying to analyze and grasp the popularity and fan base of a certain content, the total sales (billing amount) of CDs and related goods purchased by fans may be used as an indicator, and based on this indicator, the next measures (holding events, increasing production of related goods, etc.) are considered and implemented. 【0004】 When the measures actually implemented match the needs of fans, the satisfaction of fans increases, and fans continue to be fans of that content. On the other hand, if only measures that do not match the needs of fans continue, the satisfaction of fans decreases and fan departure occurs. 【0005】 However, the technology described in Patent Document 1 can only uniformly grant perks such as free handshake events to highly passionate fans. When highly passionate fans are subdivided, they include both core fans with very high levels of passion and casual fans with less passion, and this technology does not take into account the differences between these fan groups. 【0008】 Providing the same benefits uniformly to different fan bases will not meet the needs of some fans, and if the benefits (promotions) continue to be uninteresting to fans, it will not improve overall fan satisfaction. Furthermore, copyright and other rights holders of the content (content holders) will not be able to obtain the expected return on investment. 【0009】 Furthermore, the technology described in Patent Document 1 cannot provide any measures to keep fans with low levels of passion as fans. Therefore, it cannot transform fans with low levels of passion into fans with higher levels of passion, and thus cannot keep them as fans. Consequently, it cannot broaden the base of fans. 【0010】 This invention was made with the above points in mind, and proposes a fan acquisition support device and fan acquisition support system that can maximize both fan satisfaction and the return on investment for content holders. [Means for solving the problem] 【0011】 To solve these problems, the present invention provides a fan acquisition support device (10) equipped with a control unit (11), wherein the control unit (11) performs the following: a first process (SP1) to acquire payment management information (122) which includes information linking the amount of money paid by paying fans for the target anime and the number of such paying fans; a second process (SP2) which calculates the rate of increase in payment amount as the number of paying fans increases as an efficiency score based on the payment management information (122), and classifies paying fans into core fans and light fans based on the efficiency score; and a third process (SP3) which proposes different measures to each of the core fans and light fans. [Effects of the Invention] 【0012】 According to the present invention, it is possible to maximize both fan satisfaction and the return on investment for content holders. [Brief explanation of the drawing] 【0013】 [Figure 1] This is an overall diagram of the fan acquisition support system. [Figure 2] This is an internal configuration diagram of a fan acquisition support device. [Figure 3] This is a conceptual diagram of the fan management information system. [Figure 4] This is a conceptual diagram of billing amount management information. [Figure 5] This is a flowchart of the fan acquisition support process. [Figure 6] This is a flowchart of the fan layer classification process. [Figure 7] This is a flowchart of the policy proposal processing process. [Figure 8] This diagram illustrates the relationship between the increase in sales and the increase in the percentage of fans. [Figure 9] This is a flowchart of other fan acquisition support processes. [Figure 10] This is a conceptual diagram of the anime attribute table. [Modes for carrying out the invention] 【0014】 Hereinafter, a preferred embodiment of the present invention will be described with reference to the drawings. The same elements are denoted by the same reference numerals, and redundant descriptions are omitted. Further, the following embodiments are examples for explaining the present invention, and the present invention is not limited thereto. 【0015】 FIG. 1 shows the overall configuration of the fan acquisition support system 1. The fan acquisition support system 1 includes a fan acquisition support device 10 that operates this system, a first terminal device 20 used by a fan acquisition measure proposer, and a second terminal device 30 used by a fan. 【0016】 The fan acquisition support device 10, the first terminal device 20, and the second terminal device 30 are communicably connected to each other via a network N. The network N is not particularly limited as long as it is a communication network used for data communication between devices. 【0017】 The fan acquisition support device 10 is not limited to a single device, and may be an aggregate of a plurality of devices having different roles and functions. 【0018】 For the sake of convenience of explanation, one first terminal device 20 and one second terminal device 30 are shown respectively, but it is not necessarily limited to this. 【0019】 For example, the fan acquisition support system 1 may be configured by a plurality of first terminal devices 20 corresponding to the number of measure proposers who propose some measures for anime fans. Also, the fan acquisition support system 1 may be configured by a plurality of second terminal devices 30 corresponding to the number of anime fans who pay for anime. 【0020】 Here, "anime" generally refers to animation, a form of expression created by slightly altering a series of still images to make them appear to be moving. However, in this embodiment, "anime" refers to a concept that encompasses all types of content. Content includes not only anime, but also manga, special effects, live-action, character art, and more. Furthermore, anime fans include anime viewers, manga readers, special effects viewers, and viewers of character images. 【0021】 "Manga" is a form of expression that develops a story by adding dialogue and explanatory text to a series of panels of drawings. "Special effects" is an abbreviation for special filming, and refers to a form of expression that uses special visual effects techniques to depict images that do not exist in reality, such as in movies or television dramas. 【0022】 "Live-action" refers to works of art that directly depict real people or landscapes in photographs, films, etc. "Character" refers to the people who appear in anime, special effects, live-action works, novels, plays, films, etc. 【0023】 The first terminal device 20 is implemented by an electronic device such as a personal computer, such as a desktop or laptop computer. Alternatively, the first terminal device 20 may be a device that the policy proposer can carry with them, such as a mobile phone like a smartphone or a portable terminal device like a tablet. 【0024】 The second terminal device 30 may be a device that the user can carry, such as a smartphone or other mobile phone, or a tablet or other portable terminal device. In this case, the second terminal device 30 is equipped with a touch panel. The second terminal device 30 can be operated and given instructions on the image displayed on the touch panel by the fan touching the touch panel. 【0025】 Figure 2 shows the internal configuration of the fan acquisition support device 10. The fan acquisition support device 10 comprises a control unit 11 that controls a series of processes related to fan acquisition support, a storage unit 12 that stores information about fans who charge for anime and information about the amount charged, a communication unit 13 for communicating with external devices such as the first terminal device 20 and the second terminal device 30, and an operation unit 14 that receives operations from the operator when inputting and outputting information to the device 10. 【0026】 The control unit 11 comprises a CPU (Central Processing Unit) as hardware, ROM (Read Only Memory), and RAM (Random Access Memory). The CPU executes various processes according to the program stored in the ROM or the program loaded into the RAM from the storage unit 12. 【0027】 In other words, the CPU is a processor that executes various processes according to a program and controls the operation of the entire fan acquisition support device 10. The processor may consist of one or more processors. The program is, for example, an operating system or application software that operates each functional part of the fan acquisition support device 10. 【0028】 The memory unit 12 stores various data necessary for the fan acquisition support device 10 to perform information processing, and is, for example, a hard disk, SSD (Solid State Drive), or DRAM (Dynamic Random Access Memory). The memory unit 12 stores, for example, billing fan management information 121 and billing amount management information 122. 【0029】 The communication unit 13 communicates with other devices via a network N, including the Internet. 【0030】 The control unit 14 consists of a keyboard, mouse, microphone, camera, etc., and inputs various information in response to received instructions and operations. Alternatively, information output and input may be integrated using a touch panel, for example, as a display. 【0031】 The hardware configurations of the first terminal device 20 and the second terminal device 30 are the same as those of the fan acquisition support device 10 described above, so their explanation is omitted here. 【0032】 Figure 3 shows a conceptual diagram of the paid fan management information 121. The paid fan management information 121 consists of an anime type field 121A, an attribute field 121B, and a paid fan information field 121C. 【0033】 The anime type field 121A stores the title of the specific anime. 【0034】 The attribute field 121B stores information about the nature and characteristics of the anime, such as its target audience and publication period. For example, the target audience may include information about gender and age, such as family-friendly anime that can be enjoyed by the whole family, kids' anime that can be enjoyed by children, anime for men that can be enjoyed by men, and anime for women that can be enjoyed by women. The publication period may include information about how long the anime has been enjoyed, such as anime that have been popular for about half a century or anime that have rapidly gained popularity in the last few years. 【0035】 The "Paying Fan Information" section 121C stores information about anime fans (paying fans) who have spent money on watching anime, related events, or related merchandise. For example, it stores information about personal attributes such as age (age group), gender, and place of residence, as well as the amount of money spent on anime (amount spent). 【0036】 This information about paying fans may include not only information about their hobbies and interests, but also information from media such as magazines, newspapers, television, the internet, and social media, as a means of gathering information about anime. 【0037】 In Figure 3, the attributes (characteristics) of the anime titled "AAA" are shown to be "family-oriented (kids)" and a "long-running" series. Furthermore, as information on paying fans for this "AAA" anime, it is shown that the number of respondents to the survey was "2017," and that the "age," "gender," "amount spent," etc., for each of these 2017 respondents are stored. 【0038】 Figure 4 shows a conceptual diagram of the billing amount management information 122. The billing amount management information 122 is created based on the paying fan management information 121 obtained, for example, by conducting a survey of anime fans. 【0039】 The survey is conducted online, for example, targeting domestically located men and women of a specified age range. Furthermore, the survey targets anime fans who have made in-app purchases for each anime within the past year; anime fans who have not made such purchases are excluded. 【0040】 The control unit 11 collects the results of the survey from multiple second terminal devices 30 and constructs paid fan management information 121, which includes the amount of money paid by paying fans for the target anime. The control unit 11 also obtains payment amount management information 122, which includes information linking the amount of money paid by paying fans for the target anime and the number of such fans, based on the survey results (paid fan management information 121). 【0041】 The billing amount management information 122 shown in Figure 4 consists of a billing amount column 122A, an overall pre-WB column 122B, an overall post-WB percentage column 122C, a representative billing amount column 122D, a billing amount contributed by each tier column 122E, a cumulative number of respondents column 122F, a cumulative respondent ratio column 122G, a cumulative contributed billing amount column 122H, a cumulative contributed billing amount percentage column 122J, and an efficiency score column 122K. 【0042】 The charge amount column 122A stores charge amounts divided into multiple price ranges. The price ranges shown in the charge amount column 122A are not limited and can be set arbitrarily. 【0043】 The overall WB pre-column column 122B stores the number of paying fans aggregated (linked) according to each price range. In the overall WB pre-column column 122B, the total number column BT before the overall WB stores the cumulative number of paying fans for each price range before the overall WB. 【0044】 The overall weighted-back (WB) percentage column 122C stores the weighted-back (WB) value, which is calculated by weighting the number of paying fans according to the population composition of the country or region. Weighting back means recalculating the results by multiplying each response by the weight of "population ratio / sample ratio" to match the bias in the sample composition ratio to the population (for example, the population composition of Japan). 【0045】 Therefore, the number of paying fans after World Break, as shown in the overall post-World Break percentage column 122C, will differ depending on the population composition of the country or region from which the paying fan management information 121 was obtained. In the overall post-World Break percentage column 122C, the total paying population column CT after World Break stores the cumulative number of paying fans after World Break for each price range. 【0046】 The representative charge amount column 122D stores the representative charge amount for each price range. The representative charge amount is the midpoint value for each price range. 【0047】 The "Contribution Amount per Tier" column 122E stores the total amount spent in each price range. The "Contribution Amount per Tier" column 122E also stores the value obtained by multiplying the number of paying fans after World Break (WB), as shown in the "Post-WB Percentage" column 122C, by the representative amount spent, as shown in the "Representative Amount" column 122D. In the "Contribution Amount per Tier" column 122E, the "Total Amount" column ET stores the cumulative amount of contributions from each price range. 【0048】 The cumulative number of respondents column 122F stores the number of paying fans obtained by sequentially adding up the number of paying fans after WB for each price range. The cumulative number of respondents column 122F also stores the value obtained by sequentially adding up the number of paying fans after WB, as shown in the overall post-WB percentage column 122C, starting from the first category A1. 【0049】 The cumulative respondent ratio column 122G stores the percentage of the cumulative number of respondents shown in the cumulative number of respondents column 122F relative to the total paying population. In other words, the cumulative respondent ratio column 122G stores the percentage of the cumulative number of respondents shown in the cumulative number of respondents column 122F relative to the cumulative number of paying fans after WB shown in the total paying population column CT, for each price range. 【0050】 The cumulative contribution amount column 122H stores the total contribution amount obtained by sequentially adding up the contribution amounts for each tier. The cumulative contribution amount column 122H also stores the value obtained by sequentially adding up the contribution amounts for each tier shown in the individual tier contribution amount column 122E, starting from the first tier A1. 【0051】 The cumulative contribution amount percentage column 122J stores the percentage of the cumulative contribution amount shown in the cumulative contribution amount column 122H relative to the total contribution amount. In other words, the cumulative contribution amount percentage column 122J stores the percentage of the cumulative contribution amount shown in the cumulative contribution amount column 122H relative to the cumulative contribution amount for each amount range shown in the total contribution amount column ET, for each amount range. 【0052】 The efficiency score column 122K stores an index used to classify paying fans in policy proposals, as part of the various other information included in the payment management information 122. The efficiency score column 122K stores the value obtained by dividing the increase in the cumulative contribution payment percentage column 122J by the increase in the cumulative respondent ratio column 122G. In other words, the efficiency score column 122K stores a value that indicates the percentage increase in total sales when the number of fans in that payment range increases by 1%. 【0053】 The efficiency score is calculated by dividing the percentage increase in sales by the percentage increase in the number of fans. The efficiency score indicates how efficiently revenue grows as the number of fans increases. Thus, the efficiency score is one indicator of business growth. 【0054】 Then, using the efficiency score in the efficiency score column 122K, the billing efficiency line EL is determined to classify the paying fan base according to the amount of money spent. The billing efficiency line EL indicates the boundary for determining whether a high return on investment can be expected, and in the example shown in Figure 4, the billing efficiency line EL is set based on an efficiency score of "1". 【0055】 While a "1" efficiency score is used as the baseline for classifying core and casual users, the efficiency score is not limited to "1". The efficiency score criterion for classifying fan users can be arbitrarily specified (set) according to the purpose. 【0056】 Furthermore, the calculation of the efficiency score only requires obtaining the "rate of increase in spending due to the increase in paying fans," and is not limited to the calculation example above. For example, in the example above, the efficiency score is calculated using the cumulative value of spending for each spending range and the cumulative number of people for each spending range, but the efficiency score can also be calculated without using cumulative values. 【0057】 For example, the percentage of the total number of people in each spending range and the percentage of the total spending in each spending range can be determined, and an efficiency score can be calculated using these determined values. After that, the cumulative spending amount and the cumulative number of people in each spending range can be calculated. 【0058】 Alternatively, the payment amount management information 122 may be obtained, which includes information linking the number of paying fans to each payment amount. 【0059】 Alternatively, the billing amount management information 122 may be calculated by predicting the number of billing individuals from publicly available information without relying on surveys, and the predicted value may be obtained. 【0060】 Figure 5 shows the fan acquisition support process performed by the fan acquisition support device 10. First, the control unit 11 acquires payment management information 122, which links the amount of money paid for the target anime with the number of paying fans (SP1). 【0061】 Next, the control unit 11 classifies the fan base based on the acquired billing amount management information 122 (SP2). Specifically, the control unit 11 calculates the rate of increase in billing amount associated with the increase in paying fans as an efficiency score, and classifies paying fans into at least a core group and a light group based on this efficiency score. 【0062】 Note that, while we have classified paying fans into only two categories, core and light, based on a single payment efficiency line EL (Efficiency Level) based on efficiency scores, this classification is not limited to this. For example, paying fans could be classified into three categories, such as heavy, core, and light, based on two payment efficiency lines EL, or into three or more categories based on multiple payment efficiency lines EL. 【0063】 The control unit 11 then proposes different measures for each fan base (SP3) and terminates the process. In other words, the control unit 11 proposes different measures to the core and light paying fans, respectively. 【0064】 Figure 6 shows the details of the process for classifying the fan base (Figure 5: SP2). First, the control unit 11 performs a process to convert, for example, the number of survey respondents into the equivalent of the total population aged 3 to 49 (SP21). 【0065】 In other words, the control unit 11 performs weighting (weighting back) on the number of survey respondents collected as the basis for the billing amount management information 122, for each amount range, according to the population composition of the country or region (population) where the survey was conducted (where the billing amount management information 122 was obtained). 【0066】 Next, the control unit 11 sets the representative charge amount for each billing tier (SP22). For example, the median value is set as the representative charge amount for each divided price range. 【0067】 Next, the control unit 11 calculates the total amount of money spent by each spending tier (SP23). Specifically, the control unit 11 multiplies the set representative spending amount by the number of paying fans after weighting back, and calculates the total spending amount (contribution amount) for each spending tier. 【0068】 Next, the control unit 11 calculates the cumulative number of paying customers in order of the highest spending amount (SP24). That is, the control unit 11 sequentially adds up the number of paying fans after weighting, in order of the spending amount for each price range, and calculates the cumulative number of people (cumulative number of respondents) for each price range. 【0069】 Next, the control unit 11 calculates the ratio of the cumulative number of paying customers to the total number of paying customers, sorted by the highest spending amount (SP25). In other words, the control unit 11 calculates the ratio of the cumulative number of respondents to the total number of paying fans (total paying population) for each spending amount range. 【0070】 Next, the control unit 11 calculates the cumulative amount of charges in descending order of the billing tiers (SP26). That is, the control unit 11 sequentially adds up the contribution charges in order of the amount charges in each price tier, and calculates the cumulative amount (cumulative contribution charges) for each price tier of charges. 【0071】 Next, the control unit 11 calculates the percentage of the cumulative amount of each payment tier (SP27) relative to the total amount of payments, in descending order of payment amount. In other words, the control unit 11 calculates the percentage of the cumulative contribution amount relative to the total amount of contributions (total amount of payments) for each payment tier. 【0072】 Next, the control unit 11 calculates an efficiency score for each amount of money spent by dividing the rate of increase of the percentage of the total amount spent (SP27) by the rate of increase of the percentage of the total number of paying customers (SP25) (SP28). 【0073】 The control unit 11 then classifies paying fans into core and light tiers based on their efficiency score (SP29), and terminates this process. 【0074】 Figure 7 shows the details of the process for proposing measures (Figure 5: SP3). The control unit 11 determines whether the paying fans classified in the relevant billing tier are core customers or not (SP31). 【0075】 If the control unit 11 determines that it is the core layer (SP31: YES), it proposes measures to encourage further spending by suggesting high-priced experiences or products such as premium seats or limited-edition goods (SP32). In other words, the control unit 11 proposes measures to increase the amount of money spent on anime and then terminates this process. 【0076】 In response, if the control unit 11 determines that it is not a core layer (SP31: NO), it proposes measures to strengthen engagement by suggesting low-cost experiences or products, such as easily accessible free events or trial versions, rather than expecting fans to pay immediately, so that they will pay in the future (SP33). In other words, the control unit 11 proposes measures that will increase the fans' attachment to the anime and then terminates this process. 【0077】 Merchandise could include items featuring characters from the anime being promoted. This merchandise may also include games that incorporate elements related to the anime. Furthermore, suggestions may be made regarding the release timing of the anime merchandise and information on where it will be sold, such as at events or on e-commerce sites. 【0078】 Other events could include fan events for anime fans to interact with each other. These events may include cosplay, where participants dress up as characters from anime, mimicking their costumes, hairstyles, or makeup. Information such as the dates of anime events and ticket prices may also be suggested. 【0079】 Another possible measure would be to propose information about anime voice actors. This information could include details about their activities, as well as television programs and talk shows they appear in. 【0080】 In addition to the policies, it would also be good to propose methods for promoting information about anime, such as through magazines, newspapers, television, radio, websites, blogs, and social networking services (SNS) like X, YouTube (registered trademark), and TikTok (registered trademark). 【0081】 Figure 8 shows the relationship between the increase in sales and the increase in the percentage of fans for each efficiency score. When the efficiency score is "1", as in point P1 (for example, ES1), the increase in the percentage of fans and the increase in the percentage of revenue spent are equal, and it can be said that this is an efficient state where increasing the number of fans by 1% also increases revenue spent by approximately 1%. 【0082】 Furthermore, in cases where the efficiency score is greater than "1" (e.g., ES2), such as at point P2, the increase in the proportion of spending is greater than the increase in the proportion of fans, making it an extremely efficient segment where a high return on investment can be expected. 【0083】 On the other hand, if the efficiency score is less than "1" (<1), as in point P3 (e.g., ES3), it indicates that the increase in the proportion of spending is smaller than the increase in the proportion of fans, and that this group represents a segment where the efficiency of monetization is relatively low and a high return on investment cannot be expected. 【0084】 If we set the billing efficiency line EL based on an efficiency score of "1" (ES1), then paying fans F1 and F2, who are in the billing tier above the billing efficiency line EL and have an efficiency score greater than "1", will be considered the "core billing tier", while paying fans F3 and F4, who are in the billing tier below the billing efficiency line EL and have an efficiency score less than "1", will be considered the "light billing tier", thus dividing all billing tiers into two groups. 【0085】 Furthermore, by using the efficiency score as a compass to maximize both total spending and fan volume, it becomes possible to make optimal investments for each spending tier. In other words, as shown by the dashed arrows in Figure 8, it is advisable to propose different strategies to cultivate paying fans F4 into paying fans F3, paying fans F3 into paying fans F2, and paying fans F2 into paying fans F1. 【0086】 Thus, efficiency scores can be used as an effective indicator to improve return on investment and accelerate the growth of anime. 【0087】 Furthermore, the proposed measures can be used to optimize the return on investment (ROI) of promotions. Specifically, by measuring how the revenue stream of paying fans acquired through each promotional measure changes after its implementation, it becomes possible to determine, for example, that if the revenue stream of paying fans acquired through a particular channel is high, then investment in that channel should be increased. 【0088】 Therefore, it becomes possible to identify the channels and measures to which expenses should be invested, reduce wasted advertising costs, and develop strategies to acquire and cultivate paying fans most efficiently within a limited budget. 【0089】 Figure 9 shows other fan acquisition support processes. The fan acquisition support device 10 includes multiple sets of paid fan management information 121 for each anime, which include anime attribute information and information about paying fans of that anime. 【0090】 The control unit 11 processes the input of attribute information relating to an anime that does not have billing fan management information 121 (SPα). 【0091】 The control unit 11 performs a process to identify a corresponding animation whose attributes correspond to those of the received animation, based on the attribute information of the received animation (SP1A). In identifying a corresponding animation, "corresponding attributes" can be rephrased as "matching attributes." Therefore, it identifies a corresponding animation whose attributes match those of the received animation. 【0092】 Furthermore, the corresponding animation for each attribute can be identified, for example, using the animation attribute table shown in Figure 10. 【0093】 Figure 10 shows an example of an anime attribute table used to identify the corresponding anime. In Figure 10, the anime's attribute is "family (kids)" and it is set as a "long-running" work with "AAA" assigned to it. 【0094】 Furthermore, "BBB" is designated as an anime aimed at "young people" and a "long-running" series. Also, "CCC" is designated as an anime aimed at "families (kids)" and a "trendy" series. Furthermore, "DDD" is designated as an anime aimed at "young people" and a "trendy" series. 【0095】 Based on the attribute information received regarding the animation, the control unit 11 uses the animation attribute table shown in Figure 10 to identify the corresponding animation whose attribute corresponds to (for example, matches) the attribute. 【0096】 The anime attribute table shown in Figure 10 identifies corresponding anime by combining four attributes based on the nature and characteristics of the anime, such as the target audience and publication period, but it is not limited to this. 【0097】 For example, when identifying a corresponding anime, attributes such as the animation production company, voice actors, and author may be used. Furthermore, when identifying a corresponding anime, the four attributes mentioned above may be combined with other attributes such as the animation production company, voice actors, and author. 【0098】 The control unit 11 then performs a process (SP2A) to output the billing amount management information 122 for the identified corresponding animation, including the efficiency score, and terminates this process. In other words, it obtains payment management information 122, which includes information linking the amount of money paid for the corresponding anime with the number of paying fans, and calculates and outputs an efficiency score. 【0099】 The output efficiency score can be used as a benchmark for new anime. In other words, since it is not possible to conduct surveys on scenes from new anime before their release, comparing (referencing) them with anime that have already been surveyed and whose attributes correspond to those anime can help predict market size and be used in product development and pricing. 【0100】 This allows you to clearly define how much revenue you expect from each paying fan base, and to adjust the direction of initial promotion and content development accordingly. For example, you can set initial KPIs with a specific perspective, such as setting the revenue stream (EL) at 3,000 yen in the first six months, and aiming for 15% of your fans to exceed this EL. 【0101】 As described above, the fan acquisition support device 10 performs the following processes: a first process of acquiring payment management information 122 which includes information linking the amount of money paid by paying fans for the target anime with the number of such paying fans; a second process of calculating the rate of increase in payment amount as the number of paying fans increases as an efficiency score based on the payment management information 122, and classifying paying fans into at least a core group and a casual group based on the efficiency score; and a third process of proposing different measures to each of the core group and the casual group of paying fans. 【0102】 This allows us to classify anime fans into multiple fan bases based on the amount they spend on the targeted anime, and propose measures tailored to the needs of each base. This makes it possible to maximize both the return on investment for the content (anime) holder and the satisfaction of the fans. In other words, it allows us to propose effective measures for the entire event, increasing the return on investment and accelerating the growth of the anime. 【0103】 Furthermore, by using an efficiency score as an indicator of the percentage increase in revenue due to an increase in paying fans, it becomes possible to classify paying fans into several fan segments. This allows for the proposal of different strategies tailored to each fan segment, potentially increasing the number of paying fans and boosting revenue. 【0104】 Furthermore, in the first processing step, the fan acquisition support device 10 divides the amount charged into multiple price ranges and acquires information linked to the number of paying fans for each price range as charge amount management information 122. 【0105】 This allows paying fans to be grouped by spending amount, enabling efficient classification of the paying fan base. Furthermore, by using the median spending amount within each spending range as the median spending amount, the calculation process becomes even more efficient than calculating an efficiency score for each individual spending amount. 【0106】 Furthermore, in the second process, the fan acquisition support device 10 calculates the total amount spent by paying fans in each price range for each price range, and then sequentially adds the number of associated paying fans in the order of the amount spent in each price range to calculate the cumulative number of fans for each price range, and calculates the percentage of the cumulative number of fans that the cumulative number of fans represents for each price range, and then sequentially adds the amounts spent in the order of the amount spent in each price range to calculate the cumulative amount, and calculates the percentage of the cumulative amount that the cumulative amount represents for each amount spent, and then calculates an efficiency score for each amount spent by dividing the rate of increase of the percentage of the cumulative number of fans that the cumulative number of fans represents for the total number of paying fans. 【0107】 This allows for the computationally efficient calculation of an efficiency score by using the cumulative number of people and the cumulative amount for each monetary range. 【0108】 Furthermore, in the second process, the fan acquisition support device 10 uses the number of paying fans for each amount of money, weighted according to the population composition of the country or region from which the money management information 122 was obtained. 【0109】 This allows for weighting back the number of paying fans for each price range to match the population composition of a given country or region, enabling the calculation of a reliable efficiency score even when the sample size of acquired payment management information 122 is small. 【0110】 Furthermore, in the third process, the fan acquisition support device 10 proposes measures to increase the amount of money that core paying fans spend on anime, and proposes measures to increase the attachment of casual paying fans to anime. 【0111】 This means that, for core paying fans, it is expected that sales can be efficiently increased by proposing measures such as selling limited-quantity, premium, high-priced merchandise or holding paid events. 【0112】 Furthermore, for casual paying fans, it is expected that the base of paying fans can be broadened by proposing measures such as selling affordable merchandise that is easy to purchase, or holding free events to pique their interest more deeply. As a result, this can lead to an increase in the volume of paying fans. 【0113】 In other words, core paying fans whose efficiency score is higher than a predetermined value (threshold) are presumed to have a strong fondness and attachment to the anime in question, to actively share information and make purchases, and to be seeking rarity and exclusivity. 【0114】 Furthermore, casual paying fans whose efficiency score is below a predetermined threshold tend to be interested in the anime in question, but are less likely to take proactive action, and are presumed to spend their time enjoying it only to a certain extent. Therefore, it is desirable to propose different strategies for each group of paying fans. 【0115】 Furthermore, free events aimed at casual paying fans have a low barrier to entry and can increase awareness among non-paying fans, thus potentially attracting new paying fans. 【0116】 Furthermore, the fan acquisition support device 10 has multiple sets of anime attribute information and paid fan management information for each anime, including information about paying fans of that anime. It receives attribute information for an anime for which it does not have paid fan management information, and in the first processing, it identifies a corresponding anime whose attributes correspond to that anime based on the attribute information of that anime, and outputs the amount of paid fan management information 122 for the corresponding anime. 【0117】 This allows for simulations to be conducted when launching a new release, using the efficiency score calculated with the revenue management information 122 of similar anime with matching attributes as a benchmark. In other words, before the launch of a new release, it is not possible to obtain the revenue management information 122, making it difficult to consider effective measures. Therefore, by assuming that the paying fan base matches when the attributes match, and by using the efficiency score of similar anime, it becomes possible to help propose effective measures. 【0118】 Furthermore, the fan acquisition support device 10 includes all content in the category of anime, and includes anime viewers, manga readers, tokusatsu viewers, and character image viewers in the category of anime viewers. 【0119】 This means it can also be applied to gaining fans for manga, tokusatsu (special effects shows), characters, games, dramas, movies, videos, artists, creators, idols, and other media besides anime. 【0120】 Furthermore, the fan acquisition support device 10 may, in the first process, acquire the attribute information of paying fans as payment amount management information 122, and in the third process, identify the attribute information of paying fans and propose measures based on the identified attribute information. 【0121】 More specifically, as a measure, we can propose channels that effectively inform fans about the service. Furthermore, attribute information of paying fans refers to information collected, for example, through survey responses, such as age, gender, place of residence, hobbies, and information related to anime. 【0122】 For example, if the core group of paying fans are "in their 30s," "male," and "primarily active in outdoor activities," then it would be a good idea to promote the target anime at outdoor events featuring content popular with men in their 30s. 【0123】 For example, if the core group of paying fans are "in their 20s," "female," and "primarily active indoors," then it would be beneficial to promote anime information through videos (or advertisements) of content that appeals to women in their 20s, which can be viewed on electronic devices such as personal computers (PCs) and smartphones. 【0124】 This allows for the suggestion of strategies based on the attribute information of paying fans. In other words, even if appropriate strategies are suggested for each category of paying fans based on their efficiency score, the effectiveness of those strategies cannot be expected unless the information about them reaches the paying fans. However, by using the attribute information of paying fans, it is possible to efficiently deliver information about strategies to paying fans. [Industrial applicability] 【0125】 The present invention is useful in providing a fan acquisition support device and fan acquisition support system that can maximize both the return on investment for content (anime) holders and the satisfaction of fans by classifying anime fans into multiple fan groups based on the amount of money spent on the target anime and proposing measures suitable for the needs of each group. [Explanation of symbols] 【0126】 1...Fan acquisition support system, 10...Fan acquisition support device, 11...Control unit, 12...Storage unit, 20...First terminal device, 30...Second terminal device, 121...Paying fan management information, 122...Payment amount management information
Claims
[Claim 1] In a fan acquisition support device (10) equipped with a control unit (11), The control unit (11) A first process (SP1) obtains payment management information (122) which includes information linking the amount paid by paying fans for the target anime with the number of such paying fans, Based on the aforementioned payment amount management information (122), a second process (SP2) is performed to calculate the rate of increase in the amount of payments due to the increase in the number of paying fans as an efficiency score, and to classify the paying fans into core fans and casual fans based on the efficiency score. A third process (SP3) is executed, which proposes different measures to the core layer and the light layer of paying fans, respectively. In the first process (SP1), The aforementioned charge amount is divided into multiple price ranges, and information in which the number of paying fans is associated with each price range is obtained as the charge amount management information (122). In the second process (SP2) described above, For each of the aforementioned price ranges, the total amount paid by the paying fans in that price range is calculated. The number of paying fans associated with each of the aforementioned price ranges is sequentially added up to calculate the cumulative number for each price range, and the percentage of the cumulative number of paying fans relative to the total number of paying fans is calculated for each price range. The amounts for each of the aforementioned price ranges are added together in order to calculate the cumulative amount, and the percentage of the cumulative amount relative to the total amount is calculated for each of the aforementioned amounts. The efficiency score is calculated for each amount of money spent by dividing the rate of increase of the cumulative amount as a percentage of the total amount spent by the rate of increase of the cumulative number of people as a percentage of the total number of paying fans. The paying fans whose efficiency score falls within a certain amount range that is equal to or greater than a predetermined threshold are classified as the core group, and the paying fans whose efficiency score falls within a certain amount range that is less than the threshold are classified as the light group. A fan acquisition support device characterized by the following features. [Claim 2] In the second process (SP2), the control unit (11) The number of paying fans for each amount of charge is weighted according to the population composition of the country or region from which the aforementioned charge amount management information (122) was obtained. The fan acquisition support device according to feature 1. [Claim 3] In the third process (SP3), the control unit (11) For the core group of paying fans with relatively high efficiency scores, we propose measures to increase the amount of money they spend on the anime. For the aforementioned casual paying fans with relatively low efficiency scores, we propose measures that will increase their attachment to the anime. The fan acquisition support device according to feature 1. [Claim 4] The aforementioned fan acquisition support device (10) includes multiple sets of paid fan management information (121) for each anime, which include attribute information of the anime and information about paying fans of the anime. The control unit (11) The system accepts attribute information relating to an anime that does not have the aforementioned paid fan management information (121), In the first process (SP1) described above, based on the attribute information of one of the animations, a corresponding animation whose attributes correspond to that animation is identified, and the billing amount management information (122) for the corresponding animation is output. The fan acquisition support device according to feature 1. [Claim 5] The aforementioned anime includes all content, The aforementioned paying fans include anime viewers, manga readers, tokusatsu viewers, and character image viewers. The fan acquisition support device according to feature 1. [Claim 6] In a fan acquisition support system (1) comprising a fan acquisition support device (10) equipped with a control unit (11) and a terminal device (20) owned by a proposer of measures targeting anime fans, the two are connected in a way that allows them to communicate with each other, The control unit (11) From the terminal device (20), the following is obtained: payment management information (122) which includes information linking the amount of money paid by paying fans for the target anime and the number of such paying fans. Based on the aforementioned payment amount management information (122), the rate of increase in the amount of payments due to the increase in the number of paying fans is calculated as an efficiency score, and based on the efficiency score, the paying fans are classified into core fans and casual fans. Different measures are proposed to the terminal device (20) for the core layer and the light layer of paying fans, respectively. The aforementioned charge amount is divided into multiple price ranges, and information in which the number of paying fans is associated with each price range is obtained as the charge amount management information (122). For each of the aforementioned price ranges, the total amount paid by the paying fans in that price range is calculated. The number of paying fans associated with each of the aforementioned price ranges is sequentially added up to calculate the cumulative number for each price range, and the percentage of the cumulative number of paying fans relative to the total number of paying fans is calculated for each price range. The amounts for each of the aforementioned price ranges are added together in order to calculate the cumulative amount, and the percentage of the cumulative amount relative to the total amount is calculated for each of the aforementioned amounts. The efficiency score is calculated for each amount of money spent by dividing the rate of increase of the cumulative amount as a percentage of the total amount spent by the rate of increase of the cumulative number of people as a percentage of the total number of paying fans. The paying fans whose efficiency score falls within a certain amount range that is equal to or greater than a predetermined threshold are classified as the core group, and the paying fans whose efficiency score falls within a certain amount range that is less than the threshold are classified as the light group. A fan acquisition support system characterized by the following features.