Concept evaluation research system, concept evaluation research method, and program

The system corrects concept evaluation survey errors by classifying respondents and using weighted market data to align survey results with actual sales, enhancing accuracy.

JP2025008021APending Publication Date: 2025-01-20CROSS MARKETING GRP INC +1
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Patent Information

Application Number
JP2023109853
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-07-04
Publication Date
2025-01-20

AI Technical Summary

Technical Problem

Existing concept evaluation surveys often yield discrepancies between survey results and actual sales data due to variations in store size, advertising, and market dominance by a few products or brands, leading to inaccurate market share predictions.

Method used

A system and method that classifies survey respondents into innovator types and calculates evaluation shares using actual purchase history data, correcting errors with weights to align survey results with market shares.

Benefits of technology

Minimizes the difference between concept evaluation survey results and actual sales outcomes by accurately predicting market shares through weighted corrections based on innovator theory classifications.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a concept evaluation research system, a concept evaluation research method, and a program that reduce a difference between a concept evaluation research result and a sales result.SOLUTION: The method includes: receiving, from a user terminal, answer information about a consciousness research related to a purchase timing after the start of sales of a commodity or a service for each category, and classifying monitors into a plurality of monitor classifications; causing each terminal to display a concept page of the commodity or the service, receiving an evaluation value indicating a purchase intension of the commodity or the service, and calculating a first evaluation occupancy; calculating based on purchase history data, a first market occupancy of the commodity or the service per monitor classification and category; calculating an error between the first evaluation occupancy and the first market occupancy having been calculated; causing each terminal to display a new concept, receiving an evaluation value indicating a purchase intension of the commodity or the service, and calculating a second evaluation occupancy; and performing correction by a weight generated based on an error in accordance with a monitor classification and a category of a new commodity or service.SELECTED DRAWING: Figure 11
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Description

[Technical field]

[0001] The present invention relates to a concept evaluation survey system, a concept evaluation survey method, and a program capable of processing data related to a concept evaluation survey via the Internet. [Background technology]

[0002] Conventionally, concept evaluation surveys (concept acceptability surveys) have been known as a questionnaire survey method used in situations where one wants to adopt the most highly evaluated concept for a new product or service, or to identify the target demographic for a new product or service.

[0003] For example, Patent Document 1 below discloses a method of generating a customer purchasing questionnaire based on a product profile, conducting a concept evaluation survey with customers, and quantifying customer purchasing psychology, including purchasing intention, according to evaluation points corresponding to the expressions of the survey responses in the completed and returned questionnaire. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2008-299684 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, in actual retail stores, the number of retailers handling a product, the amount of advertising placed, the floor space of sales, etc. vary depending on the sales share. Therefore, when a small number of products or brands dominate the market, even if a concept evaluation survey is conducted using uniform standards for multiple different products or brands, there will be a discrepancy between the survey results and actual sales results (market share).

[0006] In view of the above circumstances, an object of the present invention is to provide a concept evaluation survey system, a concept evaluation survey method, and a program that can minimize the difference between the results of a concept evaluation survey and actual sales results. [Means for solving the problem]

[0007] In order to achieve the above object, a concept evaluation survey system according to an embodiment of the present invention includes a communication unit and a control unit. The communication unit communicates with each monitor terminal of a plurality of monitors who are target users of an evaluation survey of the concepts of a plurality of products or services in different categories. The control unit receives, from each monitor terminal, response information of an attitude survey regarding the purchase time from the launch of the product or service for each of the categories, classifies the monitors into a plurality of monitor classifications according to the response information, displays a concept page showing the concept of the product or service on each monitor terminal, receives an evaluation value showing the intention to purchase the product or service via the concept page, and calculates a first evaluation share of the product or service for each monitor classification and each category based on the evaluation value. The control unit also calculates a first market share of the product or service for each monitor classification and each category based on actual purchase history data of the product or service that is the subject of the evaluation of the intention to purchase, and calculates an error between the calculated first evaluation share and the calculated first market share for each monitor classification and each category. The control unit then displays a concept page indicating the concept of the new product or service on each monitor terminal, receives an evaluation value indicating the intention to purchase the product or service via the concept page, calculates a second evaluation occupancy rate of the product or service for each monitor classification based on the evaluation value, and corrects the calculated second evaluation occupancy rate by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service.

[0008] With this configuration, the error between the evaluation share in the concept survey and the actual market share can be calculated for each monitor classification and for each product / service category, and in a concept survey of a new product / service, the evaluation share for each monitor classification can be corrected with a weight according to the error for that product / service, thereby minimizing the difference between the results of the concept evaluation survey and actual sales results.

[0009] The control unit may receive, as the response information from the monitor terminal, response information to a survey asking which of the five types in Innovator Theory the monitor belongs to, and classify the monitor into one of the multiple monitor classifications based on the type.

[0010] By classifying monitors into the five types defined in innovator theory, it is possible to calculate the discrepancy between the diffusion process of a new product or service and the awareness of each monitor for each product or service, thereby improving the accuracy of concept evaluation surveys.

[0011] The control unit may store, for each category, central time information indicating the period from the launch of the product or service at which the proportion of early adopters among the five types in the innovator theory becomes equal to or greater than a predetermined percentage, and may receive, for each category, the evaluation value from a monitor terminal of a monitor who purchased the new product or service at the period indicated by the central time information.

[0012] This makes it possible to conduct concept evaluation surveys with a high degree of accuracy for each product or service category, focusing on the opinions of early adopters, who are believed to have the greatest influence on the spread of new products and services.

[0013] An information processing method according to another aspect of the present invention includes: receiving, from each monitor terminal of a plurality of monitors who are target users of an evaluation survey of a plurality of product or service concepts in different categories, response information for a consciousness survey regarding the purchase timing of the product or service from the launch of the product or service for each of the categories, and classifying the monitors into a plurality of monitor classifications according to the response information; displaying a concept page showing a concept of the product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a first evaluation occupancy rate of the product or service for each of the monitor classifications and each of the categories based on the evaluation value; Calculating a first market share of the product or service for each of the monitor classifications and each of the categories based on actual purchase history data of the product or service that is the subject of the evaluation of the purchase intention; Calculating an error between the calculated first evaluation share and the calculated first market share for each of the monitor classifications and each of the categories; displaying a concept page showing a concept of a new product or service on each of the monitor terminals, receiving an evaluation value indicating an intention to purchase the product or service via the concept page, and calculating a second evaluation occupancy rate of the product or service for each of the monitor classifications based on the evaluation value; The method includes correcting the calculated second evaluation share by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service.

[0014] According to yet another aspect of the present invention, there is provided a program for an information processing device, receiving, from each monitor terminal of a plurality of monitors who are target users of an evaluation survey of a plurality of products or services in different categories, response information regarding the purchase timing of the products or services from the launch of the products or services for each category, and classifying the monitors into a plurality of monitor classifications according to the response information; displaying a concept page showing a concept of the product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a first evaluation occupancy rate of the product or service for each of the monitor classifications and each of the categories based on the evaluation value; calculating a first market share of the product or service for each of the monitor classifications and each of the categories based on actual purchase history data of the product or service that is the subject of the evaluation of the purchase intention; Calculating an error between the calculated first evaluation share and the calculated first market share for each of the monitor classifications and each of the categories; displaying a concept page showing a concept of a new product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a second evaluation occupancy rate of the product or service for each of the monitor classifications based on the evaluation value; The method executes a step of correcting the calculated second evaluation share by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service. Effect of the Invention

[0015] As described above, according to the present invention, it is possible to minimize the difference between the results of a concept evaluation survey and actual sales results, but this effect does not limit the present invention. [Brief description of the drawings]

[0016] [Figure 1] 1 is a diagram showing a configuration of a concept evaluation survey system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram showing a hardware configuration of a concept evaluation survey server according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a diagram showing a configuration of a database included in a concept evaluation survey server according to one embodiment of the present invention. [Figure 4] FIG. 1 is a diagram illustrating the innovator theory used by the concept evaluation survey server according to one embodiment of the present invention. [Diagram 5] This is a diagram explaining the central period of early adopters in the innovator theory shown in Figure 4. [Figure 6] FIG. 13 is a diagram showing data recorded for each monitor classification regarding purchase times from the launch of products in different categories, created by a concept evaluation survey server according to one embodiment of the present invention. [Figure 7] 13 is a flowchart showing a flow of a process for generating an error information database by a concept evaluation survey server according to one embodiment of the present invention. [Figure 8] FIG. 13 is a diagram showing an example of a concept page that is displayed on a monitor terminal by a concept evaluation survey server according to one embodiment of the present invention. [Figure 9] FIG. 13 is a diagram showing an example of a response input page displayed on a monitor terminal by the concept evaluation survey server according to one embodiment of the present invention. [Figure 10] FIG. 13 is a diagram conceptually showing an error information database generated by a concept evaluation survey server according to one embodiment of the present invention. [Figure 11] 11 is a flowchart showing a flow of a concept evaluation survey process by a concept evaluation survey server according to one embodiment of the present invention. [Figure 12] FIG. 2 is a diagram conceptually showing a concept evaluation survey process performed by a concept evaluation survey server according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0018] [System configuration] FIG. 1 is a diagram showing the configuration of a concept evaluation survey system according to this embodiment.

[0019] As shown in the figure, this system includes a concept evaluation survey server 100 on the Internet 50 , a plurality of monitor terminals 200 , and a client terminal 300 .

[0020] The concept evaluation survey server 100 is a server that carries out a concept evaluation survey of a product or service based on a request from a client. The concept evaluation survey server 100 is connected to a plurality of monitor terminals 200 and a client terminal 300 via the Internet 50.

[0021] Specifically, the concept evaluation survey server 100 transmits a concept evaluation survey response request (message such as email) together with access information (hyperlink or the like) to a response page to the monitor terminal 200, and receives response information for the concept evaluation survey from the monitor terminal 200. Then, the concept evaluation survey server 100 tallys up the response information, generates delivery information for the concept evaluation survey results to the requester, and transmits it to the requester terminal 300.

[0022] The monitor terminals 200 (200A, 200B, 200C...) are terminals of users who have a contract with the company that operates the concept evaluation survey server 100 and who are members who will be target users (respondents; monitors) of the concept evaluation survey conducted by the concept evaluation survey server 100, and are, for example, smartphones, mobile phones, tablet PCs (Personal Computers), notebook PCs, desktop PCs, etc.

[0023] The monitor terminal 200 receives the concept evaluation survey response request and response page from the concept evaluation survey server 100 , displays it using a browser or the like, inputs a response, and transmits response information (evaluation information) to the concept evaluation survey server 100 .

[0024] The requester terminal 300 is a terminal used by (a person in charge of) a company requesting a concept evaluation survey, and is, for example, a smartphone, a mobile phone, a tablet PC (Personal Computer), a notebook PC, a desktop PC, etc. The requester terminal 300 transmits a request to implement a concept evaluation survey to the concept evaluation survey server 100, and receives delivery information of the concept evaluation survey results from the concept evaluation survey server 100 after the concept evaluation survey is completed.

[0025] In this embodiment, the answer page displayed on the monitor terminal 200 by the concept evaluation survey server 100 is composed of a plurality of concept pages that display product concepts for a plurality of products, and an answer input page that allows the monitor to select one product that he or she wishes to purchase from among the plurality of products after the concept page is displayed.

[0026] In addition, although details will be described later, in carrying out the concept evaluation survey, the concept evaluation survey server 100 conducts an awareness survey of monitors according to the innovator theory, which is a marketing theory that indicates the penetration rate of new products and services in the market, and classifies the monitors into five monitor classifications (innovators / early adopters / early majority / late majority / laggards).The concept evaluation survey server 100 then calculates and stores the error between the answer to the product concept evaluation survey and the actual sales result of the product for each monitor classification, and is able to correct the monitor's answer in a concept evaluation survey for a new product by using a weight according to the error.

[0027] [Hardware configuration of concept evaluation survey server] Fig. 2 is a diagram showing the hardware configuration of the concept evaluation survey server 100. As shown in the figure, the concept evaluation survey server 100 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, an input / output interface 15, and a bus 14 connecting these to each other.

[0028] The CPU 11 appropriately accesses the RAM 13 etc. as necessary, and performs various arithmetic processing while controlling each block of the concept evaluation survey server 100 in an integrated manner. The ROM 12 is a non-volatile memory in which the OS to be executed by the CPU 11, firmware such as programs and various parameters, etc. are fixedly stored. The RAM 13 is used as a working area for the CPU 11, and temporarily stores the OS, various applications being executed, and various data being processed.

[0029] The input / output interface 15 is connected to a display unit 16, an operation reception unit 17, a storage unit 18, a communication unit 19, and the like.

[0030] The display unit 16 is a display device using, for example, a Liquid Crystal Display (LCD), an Organic ElectroLuminescence Display (OLED), a Cathode Ray Tube (CRT), or the like.

[0031] The operation reception unit 17 is, for example, a pointing device such as a mouse, a keyboard, a touch panel, or other input device. When the operation reception unit 17 is a touch panel, the touch panel can be integrated with the display unit 16.

[0032] The storage unit 18 is, for example, a non-volatile memory such as a hard disk drive (HDD), a flash memory (SSD; Solid State Drive), or other solid-state memory. The storage unit 18 stores the OS, various applications, and various data.

[0033] Particularly in this embodiment, the storage unit 18 stores monitor information that is the subject of the concept evaluation survey, information that constitutes the concept page to be displayed on the monitor terminal 200 in the concept evaluation survey, and the like, and also stores applications and other programs that allow the concept evaluation survey server 100 to execute processes related to the concept evaluation survey (such as displaying the answer page and tallying up the answer information) using this data. As will be described later, the storage unit 18 has databases that contain such data, including a client information database, a monitor information database, a market sales information database, a survey information database, and an error information database.

[0034] The communication unit 19 is, for example, a NIC (Network Interface Card) for Ethernet or various modules for wireless communication such as wireless LAN, and is responsible for communication processing between the monitor terminal 200 and the client terminal 300.

[0035] Although not shown, the hardware configuration of the monitor terminal 200 is similar to that of the concept evaluation survey server 100. An application for connecting to the concept evaluation survey server 100 and executing processing related to product concept evaluation is installed in the monitor terminal 200, and the concept evaluation survey server 100 may be accessed via the application.

[0036] [Database configuration of concept evaluation survey server] FIG. 3 is a diagram showing the configuration of a database included in the concept evaluation survey server 100. As shown in FIG.

[0037] As shown in the figure, the concept evaluation survey server 100 has a client information database 31, a monitor information database 32, a market sales information database 33, a survey information database 34, and an error information database 35 in the storage unit 18.

[0038] The client information database 31 stores information about clients of the concept evaluation survey who are clients of the company that operates the concept evaluation survey server 100. Specifically, the client information database 31 stores information such as a user ID, password, company name, person in charge name, email address, telephone number, and address for each client.

[0039] The monitor information database 32 stores information about monitors (users of the monitor terminals 200) who are consumers who have signed a monitor contract with the operator of the concept evaluation survey server 100. Specifically, the monitor information database 32 stores information about each monitor, such as user ID, password, name, email address, telephone number, address (place of residence), age (group), sex, family structure (married / unmarried, number of family members, presence or absence of children, etc.), occupation (occupation type, school), annual income (household annual income, individual annual income), SNS used, living arrangement (detached house, condominium, owned house, rental, etc.), mobile phone (carrier information), car ownership status, license status, hobbies, interests, etc. Furthermore, the monitor information database 32 also stores purchase history information (product name, purchase date, etc.) of products purchased by each monitor via the monitor terminal 200.

[0040] The market sales information database 33 stores data showing the market sales status of multiple products (brands) that are the subject of concept evaluation. The data may be created from purchase history data of monitors received from other research companies, or may be collected from POS (Point of Sale) data received directly from each retailer or via another company. The sales information data is updated to the latest information periodically, for example, daily or weekly. Furthermore, the sales share (market share) of each product in the market may be calculated from the data and stored in the market sales information database 33.

[0041] The data indicating the sales situation also includes data indicating the launch date and sales date (purchase date) of each product, and the market sales information database 33 also stores data (purchase date tracking data; see Figure 6) that records the period from the launch date to the purchase date of each product for each type in the innovator theory (innovator / early adopter / early majority / late majority / laggard).

[0042] The survey information database 34 stores information regarding the concept evaluation survey created for the monitors, i.e., data (text and images) constituting the response pages (the product concept page and response input page) to be displayed on each monitor terminal 200, and response data received from each monitor terminal 200.

[0043] The error information database 35 stores information regarding the error between the evaluation share of each product (the proportion of the number of monitors who responded that they would like to purchase the product to the total number of monitors surveyed) calculated by aggregating the response data of the concept evaluation survey (data indicating intention to purchase the product) stored in the survey information database 34 and the proportion (market share) of the sales of the product to all the products targeted for comparison stored in the market sales information database 33, for each product category and for each monitor classification.

[0044] These databases are used by mutual reference as necessary in the concept evaluation survey process by the concept evaluation survey server 100, which will be described later.

[0045] [About innovator theory] Here, the innovator theory will be explained. Figure 4 is a diagram explaining the outline of the innovator theory.

[0046] As shown in the figure, innovator theory, the process by which new products and services become popular goes through decision-making by five different types of groups (1) to (5) listed below, beginning with consumers who are the earliest to adopt them. It is considered desirable to consider marketing strategies and the market life cycle based on this.

[0047] (1) Innovator: They are obsessed with being the first to use new things and are adventurous adopters at the earliest stages. (2) Early Adopters: They make thoughtful judgments about new ideas and adopt them at an early stage, expressing their opinions and influencing those around them. (3) Early Majority: Before the penetration rate exceeds 50%, make sure that the quality and price are mature and adopt it. (4) Late Majority: Make sure the majority has adopted it, then adopt it cautiously under peer pressure. (5) Laggard: This is the most conservative approach, and will only be adopted after widespread adoption and proven to be effective.

[0048] Of these five types, early adopters have a major influence on the early majority and late majority that follow, so it is believed that early adopters' adoption of a product or service holds the key to spreading the product or service to subsequent types.

[0049] On the other hand, there is a large gap called a chasm between the early market (innovators and early adopters) and the mainstream market (early majority and late majority), and it is said that unless this chasm is overcome, new products and services will not become widespread in the mainstream market and will eventually disappear in the small early market. Therefore, it is important that not only early adopters but also the early majority adopt products and services.

[0050] Fig. 5 is a diagram explaining the central period of early adopters in the innovator theory of Fig. 4. As shown in the diagram, the concept evaluation survey server 100 according to this embodiment holds the results of a questionnaire conducted for each product at each predetermined time (T+1, T+2, ...) after the launch of the product, in which users who have purchased the product are asked about their reason for purchase (which of the five types of values ​​in the innovator theory is the reason based on that reason).

[0051] Based on the results of the survey, the concept evaluation survey server 100 calculates the ratio of each type of user who purchased the product during each survey period, and identifies the period when the ratio of each type exceeded a predetermined threshold (e.g., 50% or more, maximum ratio, etc.) as the central period of that type for that product. For example, as shown in the figure, period T+1 is identified as the central period for innovators, and the following period T+n is identified as the central period for early adopters. The concept evaluation survey server 100 identifies the central period of each type for each product category, and stores the identified information in the market sales information database 33 or the like.

[0052] As described above, the market sales information database 33 also stores purchase time tracking data that records the period from the start of sales of each product to the purchase time for each type of innovator theory, as shown in FIG.

[0053] As shown in the figure, the purchase period for each type differs depending on the product category. For example, the purchase period for the same early adopter is two months after the release of drinks, but four months for cosmetics.

[0054] In this embodiment, the concept evaluation survey server 100 executes a concept evaluation survey taking into consideration the purchase timing of each type, which differs for each product category, in particular, the peak period for early adopters.

[0055] [Operation of concept evaluation survey server] Next, an operation of the concept evaluation survey server 100 configured as above will be described. The operation is executed by the hardware such as the CPU 11 and the communication unit 19 of the concept evaluation survey server 100 in cooperation with the software stored in the storage unit 18. In the following description, for convenience, the CPU 11 is the subject of the operation.

[0056] (Error information database generation process) First, there will be described the process of generating the error information database 35. FIG 7 is a flowchart showing the flow of the process of generating the error information database 35.

[0057] As a pre-processing of the process in FIG. 1, the CPU 11 of the concept evaluation survey server 100 creates a response page (a product concept page or a response input page) and stores it in the survey information database 34.

[0058] First, the CPU 11 of the concept evaluation survey server 100 extracts purchasers from the monitor information database 32 who have purchased the surveyed product in period T+n (i.e., the peak period of early adopters) since its release, and sends a product concept evaluation request to the monitor terminal 200 of the selected monitor (step 41). The response request includes access information (hyperlink, etc.) to the response page.

[0059] Next, the CPU 11 judges whether or not the answer page has been accessed from any of the monitor terminals 200 (step 42).

[0060] If it is determined that the response page has been accessed (Yes in step 42), the CPU 11 causes the monitor terminal 200 to display an attitude survey page regarding the five types in the innovator theory as a pre-survey for the main survey (concept evaluation survey) (step 43).

[0061] For example, the questions on the survey page are as follows: [Question] Regarding the purchase of XXX (category of product being surveyed), please select the value below that best applies to you. 1. Be proactive in adopting new products and being the first to try new things (innovators) 2. Judge new things thoughtfully and adopt new products at an early stage (early adopters) 3. Before the penetration rate of a new product exceeds 50%, confirm that the quality and price are mature and adopt it (Early Majority) 4. Be cautious about adopting the new product until you are sure that the majority of people have adopted it (late majority) 5. They adopt new products only after they have become widely available and they are sure to be good (laggards).

[0062] Next, the CPU 11 judges whether or not it has received response information regarding the opinion survey from the monitor terminal 200 (step 44). If it judges that the response information has been received (Yes in step 44), the CPU 11 classifies the monitors who responded into one of the five monitor types (innovator / early adopter / early majority / late majority / laggard) based on the response information, and stores the monitor classification information in the monitor information database 32 (step 45).

[0063] Next, the CPU 11 causes the monitor terminal 200 to sequentially display the concept page of each product under investigation (step 46). Fig. 8 is a diagram showing an example of the display of the concept page.

[0064] As shown in the figure, the concept page includes concept information 61 indicating the concept (concept, features, basic performance, product image, product brand name, price, company brand name, etc.) of a product (a hair dryer in this example).

[0065] Further, for example, at the bottom of the concept information 61, a back button 64 for transitioning the display to the page previous to the currently displayed page and a forward button 65 for transitioning the display to the next page are provided.

[0066] As shown in (A), (B), and (C) of the same figure, the CPU 11 switches between and displays multiple concept pages with different contents for one product, like a slide show. For example, the content is switched so that the concept and features of the product are displayed on page (A), the product image is displayed on page (B), and the product brand name, price, and company brand name are displayed on page (C).

[0067] Returning to FIG. 7, the CPU 11 determines whether or not the display of the concept pages for all products has been completed (step 47).

[0068] If it is determined that the display of the concept pages of all the products has not been completed (No in step 47), the CPU 11 displays the concept pages of the remaining products and repeats the process from step 46 onwards.

[0069] On the other hand, if it is determined that the display of the concept pages for all products has been completed (Yes in step 47), the CPU 11 causes the monitor terminal 200 to display a response input page for the product desired to be purchased (step 48).

[0070] 9 is a diagram showing a display example of the answer input page. As shown in the figure, the answer input page displays a question 66 such as "Of the following products you have seen so far, which one would you most like to purchase?", a choice 67 for selecting one product from the multiple products displayed on the concept page, and a corresponding product image 68.

[0071] The options 67 are, for example, radio buttons (and product names), but are not limited to this and may be displayed in other formats such as check boxes or pull-down menus.

[0072] Further, for example at the bottom of the answer input page, a reply send button 69 for sending information indicating the selected option 67 to the concept evaluation survey server 100 as answer information (evaluation information) is provided.

[0073] Returning to FIG. 7, the CPU 11 judges whether or not answer information has been received from the monitor terminal 200 via the answer transmission button 69 on the answer input page (step 49).

[0074] When it is determined that response information has been received from the monitor terminal 200 (Yes in step 49), the CPU 11 stores the response information in the survey information database 34 (step 50).

[0075] Next, the CPU 11 refers to the survey information database 34 and judges whether or not the number of samples of the accumulated response information has reached a predetermined number (step 51).

[0076] If it is determined that the predetermined number of pieces of response information have been accumulated (Yes in step 51), the CPU 11 aggregates the response information for each monitor classification and calculates the product evaluation share for each monitor classification (the ratio of monitors who responded that they have an intention to purchase each product to the total number of responses) (step 52).

[0077] Next, the CPU 11 acquires market share information for each monitor classification (type in the innovator theory) of each product under investigation from the market sales information database 33 (step 53).

[0078] Then, the CPU 11 calculates the error between the calculated evaluation share and market share for each product for each monitor classification (step 54).

[0079] For example, if the evaluation share in a certain monitor classification is 20% and the market share is 15%, the CPU 11 calculates the error as 15 / 20=0.75.

[0080] The CPU 11 repeats the above process for all products surveyed. The CPU 11 also repeats the above process for a number of other products in different categories, and accumulates the error information for each product category (X, Y, Z...) and each monitor classification to generate an error information database 35, as shown in FIG. 10.

[0081] (Concept evaluation survey processing) Next, a description will be given of a concept evaluation survey process using the generated error information database 35. Fig. 11 is a flowchart showing the flow of the concept evaluation survey process by the concept evaluation survey server 100. Fig. 12 is a diagram conceptually showing the concept evaluation survey process.

[0082] The processing in steps 71 to 82 is similar to the processing in steps 41 to 52 in the flowchart of the generation processing of the error information database 35 shown in FIG.

[0083] The number of monitor terminals 200 to which the concept evaluation survey response request is sent in step 71 is determined to be the number of response samples predetermined by the requester when requesting the concept evaluation survey, plus a predetermined number or a predetermined percentage in consideration of cases where no response is obtained (for example, 1080 monitor terminals 200 are sent for 1000 requested samples). Therefore, the CPU 11 waits until at least the number of response samples + α from purchasers at time T+n since the product launch is accumulated, before executing the process in the figure.

[0084] The number of response samples accumulated in step 81 is a number of response samples that is predetermined by the client.

[0085] The CPU 11 compiles the response information and calculates the evaluation share of the product for each monitor classification (step 82), and then corrects each evaluation share by a weight corresponding to the error for each monitor classification stored in the error information database 35 (step 83).

[0086] As mentioned above, when calculating the ratio of market share to evaluation share as the error, the error can be used as the weight as it is. For example, if the error in a certain monitor classification of a certain product is 0.75, and the evaluation share calculated as above for the surveyed product in the same category as said product is 30%, the error is multiplied as the weight, and the result is adjusted to 30 x 0.75 = 22.5.

[0087] Then, the CPU 11 appropriately processes or formats the evaluation occupancy rate information after correction using the above weights, for example for each monitor classification, generates delivery data for delivery to the client, transmits it to the client terminal 300, and ends the processing (step 84).

[0088] In this case, depending on the request of the client, the CPU 11 may transmit only the evaluation share rate information of a specific monitor classification (for example, early adopter or early majority) to the client terminal 300 as delivery data.

[0089] [summary] As described above, according to this embodiment, the concept evaluation survey server 100 calculates the error between the evaluation share in the concept survey and the actual market share for each monitor classification based on the innovator theory and for each product / service category, and corrects the evaluation share for each monitor classification in a concept survey of a new product / service with a weight corresponding to the error for that product / service, thereby minimizing the difference between the results of the concept evaluation survey and actual sales results.

[0090] In addition, by targeting monitors of early adopters, who are said to have the greatest influence on product popularity among the five types in innovator theory, and by identifying the peak period of early adopters for each product category, it is possible to predict the popularity of products in each product category with greater accuracy.

[0091] [Variations] The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit and scope of the present invention.

[0092] In the above embodiment, the concept evaluation survey server 100 surveyed monitors who purchased a product during the peak period of early adopters. Alternatively, the survey may survey monitors who purchased a product during the peak period of the early majority.

[0093] In the above embodiment, a product is the subject of the concept evaluation survey, but a service may also be the subject of the concept evaluation survey.

[0094] In the above embodiment, the monitors are classified into five monitor categories based on their types in the innovator theory, but the classification criteria are not limited to this, and the monitors may be classified into a different number of monitor categories based on different value criteria.

[0095] The concept evaluation survey server 100 shown in the above embodiment may be configured as a system in which its functions are distributed among multiple servers or information processing devices. For example, among the above processes, the process of generating the error information database 35 and the subsequent concept evaluation survey process may be executed by separate servers.

[0096] Among the inventions described in the claims of this application, the invention described as a "concept evaluation research method" has each step performed automatically by at least one device such as a computer through information processing by software, and is not performed by a human using a device such as a computer. In other words, the "concept evaluation research method" is an information processing method using computer software, and is not a method in which a human operates a calculation tool called a computer. [Explanation of symbols]

[0097] 11...CPU 18...Memory section 19. Communications Department 31……Client information database 32……Monitor information database 33...Market sales information database 34...Investigative information database 35...Error information database 61... Concept information 100…Concept evaluation survey server 200…Monitor terminal 300: Requester terminal

Claims

1. A communication unit that communicates with each monitor terminal of a plurality of monitors who are target users of an evaluation survey of concepts of a plurality of products or services in different categories; receiving, from each of the monitor terminals, response information to a survey regarding the purchase timing of the product or service from the launch of the product or service for each of the categories, and classifying the monitors into a plurality of monitor classifications according to the response information; displaying a concept page showing a concept of the product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a first evaluation occupancy rate of the product or service for each of the monitor classifications and each of the categories based on the evaluation value; Calculating a first market share of the product or service for each of the monitor classifications and each of the categories based on actual purchase history data of the product or service that is the subject of the evaluation of the purchase intention; Calculating an error between the calculated first evaluation share and the calculated first market share for each of the monitor classifications and each of the categories; displaying a concept page showing a concept of a new product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a second evaluation occupancy rate of the product or service for each of the monitor classifications based on the evaluation value; The calculated second evaluation share is corrected by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service. Control unit and A concept evaluation survey system comprising:

2. 2. The concept evaluation survey system according to claim 1, The control unit receives, as the response information, response information to a consciousness survey asking which of five types in the innovator theory the monitor belongs to, from the monitor terminal, and classifies the monitor into the plurality of monitor classifications according to the type. Concept evaluation survey system.

3. The concept evaluation survey system according to claim 2, The control unit stores, for each of the five types in the innovator theory, central time information indicating a period from the launch of the product or service at which the ratio of early adopters is equal to or greater than a predetermined ratio, and receives, for each of the categories, the evaluation values ​​from monitor terminals of monitors who purchased the new product or service at the period indicated by the central time information. Concept evaluation survey system.

4. receiving, from each monitor terminal of a plurality of monitors who are target users of an evaluation survey of a plurality of product or service concepts in different categories, response information for a consciousness survey regarding the purchase timing of the product or service from the launch of the product or service for each of the categories, and classifying the monitors into a plurality of monitor classifications according to the response information; displaying a concept page showing a concept of the product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a first evaluation occupancy rate of the product or service for each of the monitor classifications and each of the categories based on the evaluation value; Calculating a first market share of the product or service for each of the monitor classifications and each of the categories based on actual purchase history data of the product or service that is the subject of the evaluation of the purchase intention; Calculating an error between the calculated first evaluation share and the calculated first market share for each of the monitor classifications and each of the categories; displaying a concept page showing a concept of a new product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a second evaluation occupancy rate of the product or service for each of the monitor classifications based on the evaluation value; The calculated second evaluation share is corrected by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service. Concept evaluation research methods.

5. In the information processing device, receiving, from each monitor terminal of a plurality of monitors who are target users of an evaluation survey of a plurality of products or services in different categories, response information regarding the purchase timing of the products or services from the launch of the products or services for each category, and classifying the monitors into a plurality of monitor classifications according to the response information; displaying a concept page showing a concept of the product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a first evaluation occupancy rate of the product or service for each of the monitor classifications and each of the categories based on the evaluation value; calculating a first market share of the product or service for each of the monitor classifications and each of the categories based on actual purchase history data of the product or service that is the subject of the evaluation of the purchase intention; Calculating an error between the calculated first evaluation share and the calculated first market share for each of the monitor classifications and each of the categories; displaying a concept page showing a concept of a new product or service on each of the monitor terminals, receiving an evaluation value showing an intention to purchase the product or service via the concept page, and calculating a second evaluation occupancy rate of the product or service for each of the monitor classifications based on the evaluation value; correcting the calculated second evaluation share by a weight generated based on the error corresponding to the monitor classification and the category of the new product or service; A program that executes the following.

Citation Information

Patent Citations

  • System for supporting quantitative analysis of customer purchase interest factor

    JP2008299684A