KR100955289B1 - Method and system for calculating market scale of goods - Google Patents

Abstract

PURPOSE: A method for calculating the market scale of products and a system thereof are provided to calculate product interest levels through the product sale of each customer or question research results about a customer reference target of an analysis target product according to a classified grade, thereby calculating the market scale of products using estimation and the application of actual product purchase records. CONSTITUTION: A product market scale calculation server(100) comprises a product charm calculator(110) and a product market scale calculator(130). Through the product purchases of each customer or question research results about a customer reference target of an analysis target product, the product market scale calculation server calculates product interest levels of the analysis area of the customer reference target and upper areas. The product market scale calculator calculates the product market scale of each analysis area.

Description

Method and System for Calculating Market Scale of Goods}

The present invention relates to a method and system for calculating a commodity market size. Specifically, the present invention relates to a method and system for calculating a product market size using a product market size calculation server using a product performance of a customer.

The present invention relates to a method and system for calculating a commodity market size.

Conventionally, in calculating the market size for each product or calculating the potential (or attractiveness) of the product, a method of estimating the market size for each product by a survey and a method for estimating the market size using statistical techniques are used. Has come.

Since these methods require survey or statistical techniques whenever necessary, they incur a large amount of cost each time. In addition, the quality of the results of the market scale calculation is largely performed every time, and based on past data. There was a limit to predicting how the market size of each product would change.

In addition, there was an unpredictable limit on the potential of each apartment complex for each apartment complex in a large residential area.

The present invention is to solve the above problems, to provide a method and system for calculating the product market size using the product market scale calculation server using the product performance of the customer.

Specifically, the product market size calculation server calculates product attractiveness or potential by using the product performance or survey results per customer for each grade classified for the customer standard object of the analysis target product, and applies the overall estimation or actual performance. It is intended to provide a method and system for calculating the size of a commodity market.

In order to achieve the above object, according to one aspect of the present invention, in the method of calculating the commodity market scale by the commodity market scale calculation server, the customer by the grade of the customer reference target of the analysis target product to be analyzed Calculating product attractiveness or potential in the analysis region and the upper region using the product performance or the survey result; And the product market size of each analysis region is calculated by multiplying the product attractiveness or the weight of potential in the analysis region with respect to the upper region by multiplying the estimated performance or actual performance of the analysis target product with respect to the customer reference target in the upper region. It proposes a method for calculating a commodity market scale comprising a.

Preferably, in another aspect, the step of calculating the above-mentioned product attractiveness or potential may include: an object selection step of setting a customer reference object of an analysis target product to be analyzed on a market scale in a calculation server; A product performance per customer input step of receiving product performance or survey results per customer for each of the grades already classified for the set customer standard object or reading a product performance or survey results per customer from a DB; And the product performance or survey results per customer received or read, according to the classified grades, are applied (multiplied) according to the analysis region for the target product and the number of products available for purchase in the upper region (multiplied). And a product attractiveness calculation step of calculating product attractiveness or potential of the upper region.

Further preferably, in one aspect, the step of calculating the product market size for each analysis region described above may include: input of total estimates or actual results of the customer reference object in the upper region, or estimates of all previously stored or A step of inputting the entire estimated performance or actual performance to read the actual performance from the DB; And the overall estimation results of the customer criteria subjects in the upper region from which the above-mentioned input or read of the product attractiveness or potential of the upper region from the calculated analysis region and the upper region's product attractiveness or potential. Or an analysis region market scale calculation step of calculating (by multiplying) the product market size for each analysis region by applying (multiplying) the actual results.

Also preferably, the product market size calculation method according to another aspect is to calculate the product market size by analysis region for each customer reference object for the analysis target product to be analyzed for market size Comprising the scale further comprises the step of calculating the product market size of the analysis region for the entire customer reference target for the analysis target product.

Further preferably, in the above-described aspects, the customer reference object for the analytical product to be analyzed for market size may be based on the analytical product. It is characterized in that it is classified as part or all of the general housing group customers, the SOHO group customers including individual business owners, and the corporate group customers including corporate operators.

In a preferred aspect, when the above-mentioned customer reference object is an apartment group customer,

The product attractiveness or potential calculation for the apartment group customer includes: an object selection step in which the apartment group customer is set as a customer standard object of the analysis target product to be analyzed on a market scale by the calculation server; Customers who receive product records per customer by actual possession or survey by grades already classified based on apartment group equilibrium and price or property value, or read the already stored product data per customer from DB A product performance input step; And if the product to be analyzed is a unit of households sold on a household basis, the product performance or survey results per customer received or read are multiplied according to the number of households available for purchase in the apartment group in the analysis region and the upper region. If the analysis target product is an individual unit product sold for each individual, the above-mentioned product performance per customer is multiplied by the product of the analysis area and the upper region's number of households and the average number of individual persons who can purchase the product per household. And a product attractiveness calculation step of calculating product attractiveness or potential of the upper region.

In addition, the product market size calculation by the analysis region for the apartment group customers: The overall input or actual results for the apartment group customers in the upper region, or the total of the estimated or actual records already stored from the DB to read Estimation or actual performance input step; And the product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the product attractiveness or potential in the upper region by applying (multiplying) the overall estimated performance or actual performance to the apartment group customers. An analysis area market scale calculating step of calculating a product market size for each region.

In another preferred embodiment, when the above-mentioned customer reference target is a general housing group customer,

Product attractiveness or potential calculation for the general housing group customer: the target selection step of setting the general housing group customer as the customer reference target of the analysis target product to be analyzed on the market scale in the calculation server; Based on the monthly income of the customers of the general housing group or the real estate value of the general housing, the product performances per customer by the actual possession or survey are classified by the classes already classified or the previously stored product performances per customer are read from the DB. A product performance input step per customer; And if the product to be analyzed is a unit of product sold on a household basis, the product performance or survey results per customer received or read is multiplied according to the number of households available for purchase in general residential groups in the analysis region and upper region, and analyzed. If the target product is an individual unit product sold for each individual, the above-mentioned product performance per customer is multiplied by the product of the number of households in the analysis region and upper region and the average number of individual persons who can purchase the product per household, and the analysis region and And a product attractiveness calculation step of calculating product attractiveness or potential of the upper region.

In addition, the analysis of the product market size by region for analysis of general housing customers can be performed either by inputting the total estimated or actual performance of the general residential customers in the upper region or by reading the estimated or actual performance of the entire stored data from the DB. A total estimation or actual performance input step coming; And the ratio of product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the product attractiveness or potential in the upper region is applied (multiplied) to the overall estimated or actual performance for the general housing customers. Comprising a step of calculating the market size of the analysis region to calculate the product market size of each analysis region.

Furthermore, in one preferred embodiment, the above-mentioned customer reference object is a SOHO customer.

Product attractiveness or potential calculation for the SOHO group customer: The target selection step in which the SOHO group customer is set as the customer reference target of the analysis target product to be analyzed on the market scale in the calculation server; Soho-gun customers are categorized into food and lodging businesses and other sole proprietors, categorized by the number of businesses and workers per business in food and lodging businesses, and by financial loans per individual business owners and the number of employees per individual business owner. Actual holdings or surveys by grades already classified on the basis of the ratings of SOHO group customers by a combination of classified grades or by classes already classified on the basis of economic value, including sales by SOHO units of SOHO group customers. A product-per-customer product input step of receiving a product-per-customer product result from a survey or reading a previously stored product-per-customer product result from a DB; And if the product to be analyzed is a product that is limited to subheadings of a particular industry, the product performance or survey results per customer entered or read is included in the product that is limited to subheadings of the specific industry in the analysis area and the upper region. If the product to be analyzed is a business unit product sold by the business unit, the above-mentioned product performance per customer is analyzed and the SOHO group business that can purchase the product for the business unit product in the analysis region and the upper region. And a product attractiveness calculation step of calculating product attractiveness or potential of the analysis region and the upper region by multiplying by the number of Soho-gun customers.

In addition, the product market size calculation by analysis region for Soho group customers is as follows: The overall estimates or actual results of the Soho group customers in the upper region or the total estimated or actual results already stored from the DB are read. Estimation or actual performance input step; And analyze the product's attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the region's product attractiveness or potential by applying (multiplying) the overall estimated performance or actual performance for the SOHO group customers. An analysis area market scale calculating step of calculating a product market size for each region.

In addition, another preferred aspect, when the above-mentioned customer reference target is a corporate group customer,

Product attractiveness or potential calculation for the corporate group customer: The target selection step in which the corporate group customer is set as the customer reference target of the analysis target product to be analyzed on the market scale in the calculation server; Enter the actual performance of the product per customer by surveys or surveys by grades already classified by class or sales, employee count, return on investment, all or part of profit or loss based on company size and financial sector loan amount Or a product per customer input step of reading the already stored product per customer product from a DB; And when the analysis target product is a business unit product sold in a business unit, the above-mentioned product performance per customer is multiplied by the number of business purchasers available for the business unit product in the analysis region and the upper region, and the analysis target product is a specific business type. In the case of products that are sold in a limited number of businesses, the product performance or survey results per customer received or read is included in the number of businesses who can purchase products for the products sold in the analysis area and the specific business in the upper area. And a product attractiveness calculation step of calculating product attractiveness or potential of the analysis region and the upper region by multiplying according to the corporate group customer.

In addition, the product market size calculation by region for analysis of corporate clients: total estimates or actual results for the corporate clients in the upper region or input from the DB of the estimated or actual records of all the stores already stored. Or actual performance input step; And the product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the product attractiveness or potential in the upper region by applying (multiplying) the total estimated or actual performance to the enterprise customers by An analysis area market scale calculating step of calculating a product market scale.

In order to achieve the above object, according to another aspect of the present invention, in the commodity market scale calculation system comprising a commodity market scale calculation server, the above-mentioned commodity market scale calculation server: an analysis target to analyze the market size A merchandise attractiveness calculation unit that calculates merchandise attractiveness or potential in the analysis region and the upper region by using the product performance or survey results per customer for the customer criteria target of the product; And the product market size of each analysis region is calculated by multiplying the product attractiveness or the weight of potential in the analysis region with respect to the upper region by multiplying the estimated performance or actual performance of the analysis target product with respect to the customer reference target in the upper region. A commodity market scale calculating system is proposed.

Preferably, according to another aspect, the above-mentioned merchandise attractiveness calculation unit: a classification module for classifying according to the setting of the customer reference target of the analysis target product to be analyzed on the market scale or reading the classification for each grade stored in the DB; A product record input module for receiving a product record or a survey result per customer for each level classified for the set customer reference object or reading a product record or survey result per customer from a DB; And the product performance or survey results per customer received or read, according to the classified grades, are applied (multiplied) according to the analysis region for the target product and the number of products available for purchase in the upper region (multiplied). And a product attractiveness calculation module that calculates product attractiveness or potential of the upper region.

In addition, the above-mentioned commodity market scale calculation unit: a performance input module for receiving the total estimated performance or actual performance for the customer reference object in the upper region or reading the total estimated performance or actual performance already stored from the DB; And the overall estimation results of the customer criteria subjects in the upper region from which the above-mentioned input or read of the product attractiveness or potential of the upper region from the calculated analysis region and the upper region's product attractiveness or potential. Or a market size calculation module that calculates a product market size for each analysis region by applying (multiplying) the actual performance.

In addition, in order to achieve the above object, the embodiments according to various combinations of the characteristic features of the present invention are not described in full, but those skilled in the art practice according to various combinations of the characteristic technical configurations of the present invention It is obvious that the example can be implemented.

According to an aspect of the present invention, a method and system for calculating a product market size using a product market scale calculation server using a product performance or a survey result of a customer are implemented.

In other words, the product market size calculation server calculates product attractiveness or potential by using the product performance or survey results per customer for each class classified for the customer standard object of the analysis target product, and applies the overall estimation or actual performance to the product. We have implemented a method and system for calculating the market size.

In addition, as in one embodiment of the present invention, by presenting a method or system for calculating the market size of the product, by analyzing the market share of the company's products for each analysis region and thereby easily identify the poor and excellent areas through regional marketing Strategies, goals, and assessments can be easily performed.

In addition, according to an embodiment, it is possible to grasp the market size of each product in the analysis area by household (apartment, general housing) and companies (soho, company-corporate). Therefore, if you want to have a store in the analysis area, it is easy to identify whether it is a store that needs to be operated as a household-type business, a store that should be operated as a corporate-type business, or a store that needs to operate as a mixed household and company type. have.

In addition, in the case of developing a new product, it is possible to measure the marketability of the product by measuring the market size of the product by using the result of a survey (such as a survey) on the preference of the new product. There is.

In addition, the method or system according to one embodiment can easily grasp the market size of the product by registering the apartment type, general housing type, SOHO type, and enterprise type to be moved in the case of the new development site. Accordingly, there is an effect that can easily configure the marketing strategy for the new development site.

It is apparent that various effects not directly mentioned in accordance with various embodiments of the present invention may be derived by those skilled in the art from various configurations according to embodiments of the present invention.

Embodiments of the present invention for achieving the above object are described with reference to the accompanying drawings. In describing the embodiments, the same reference numerals refer to the same configuration, and additional descriptions that may overlap or limit the meaning of the invention may be omitted in describing the embodiments of the present invention.

First, according to one aspect of the present invention, looks at the product market scale calculation system in detail.

1 is a state diagram illustrating a state in which a user is connected to a product market scale calculation system 1 according to an exemplary embodiment of the present invention through a network.

Referring to Figure 1, the product market scale calculation system of the present invention includes a product market scale calculation server. Although the user terminal 300 is shown in FIG. 1, the product market scale calculation system 1 according to the present invention is preferably a product market scale calculation server 100 and a product market scale calculation DB except the user terminal 300. It can be understood to include 200. However, the present invention is not limited thereto, and the user terminal 300 may include a user terminal 300 when the user terminal 300 is in a common management area of the product market scale calculation server 100 or is managed by a common subject. A user who wants to inquire about the market size of a product for an analysis area (including administrative operations or a specific commercial area) accesses the product market scale calculation server 100 using the user terminal 300 to calculate the market size for each product of the analysis area. . The product market scale calculation server 100 provides the user terminal 300 with the product market scale calculation result calculated in conjunction with the product market scale calculation DB 200. The product market scale calculation DB 200 may be included in the product market scale calculation server 100 or may be provided separately from the product market scale calculation server 100.

In the present invention, the product may include a conventional product corresponding to the financial product and tangible goods, preferably, it may be a financial product. Financial instruments can be classified into financial instruments, financial instruments and other credit products, and savings deposits, periodic deposits, bancassurance, market deposits, etc. are received products, and mortgages, construction mortgages, personal loans, corporate loans, etc. As a product, it can be divided into other products such as credit card, MMF, non-life insurance, pension insurance. It is obvious that various other financial instruments may be included that are not mentioned.

In the present invention, the market size of the product is the actual size or estimated size of the product in the analysis region. The market size of a commodity can be divided by the subject of the customer of the commodity. The subject of the customer or product business of the product, in one embodiment of the invention, can be divided into individuals or companies. This distinction may include both individuals and companies, depending on the nature of the product, or may only be for individuals or companies, depending on the nature of the product. In addition, in one embodiment of the present invention, in the case of an individual may be divided into individual customers living in apartments, townhouses and villas, individual customers living in a general house, and also in the case of an enterprise may be divided into individual operators and corporate operators have. The customer of the product may be divided into regions, city units, city and district districts, administrative buildings, commercial units, apartment complexes, general housing number units, SOHO businesses or business units, corporate businesses or business units.

The market size of a commodity means the market size of the commodity for each subject. In particular, in relation to financial products, the actual commodity market size for each subject means the amount of goods held per subject. In the case of financial products, savings deposits, term deposits, bancassurance, market deposits, mortgage loans, personal loans, corporate loans, credit cards, MMFs, non-life insurance, pension insurance, etc. It may mean a water purifier, a refrigerator, a TV, a washing machine, or the like. The definition of other commodities may include classification of commodities in social ideology.

The product market scale calculation server in the product market scale calculation system according to an embodiment of the present invention will be described in detail. 2 is a schematic block diagram illustrating a product market scale calculation server of a product market scale calculation system according to an exemplary embodiment of the present invention.

2, the product market scale calculation server 100 of the product market scale calculation system according to an embodiment of the present invention includes a product attractiveness calculation unit 110 and a product market scale calculation unit 130 It is done by Although not shown, it preferably includes a control unit for integrating control of the server.

The merchandise attractiveness calculation unit 110 analyzes the attractiveness of the product in the analysis region and the upper region by using the product performance per customer or the survey results for each customer reference object of the analysis target product to be analyzed on the market scale. Or calculate the potential. In the present invention, the product performance per customer may be, for example, the product performance by grade of the customer actually secured by a specific financial institution, or may be the product performance of the customer obtained through a survey or the like. In addition, the survey results in the present invention may be the product performance of the customer secured through the survey or the like, or may be the customer purchase intention and amount of the product secured through the survey. The attractiveness or potential of a product is obtained based on the actual product performance of the customer or the product obtained through questionnaires, and indicates the marketability or potential of the product applied to the estimation of the market size of the product.

In the present invention, the customer reference object is classified as a customer of the product in order to more easily analyze the market size of the product, and may be classified as an individual or a company. It can be all or just individuals or companies. Preferably, in one embodiment, the customer reference object for the analysis target product to be analyzed for market size is an apartment group customer including an apartment house, an apartment complex, a villa, or a villa according to the analysis target product. This can be classified as part or all of the general housing group customers, SOHO group customers including individual business owners, and corporate group customers including corporate businesses.

In addition, in the present invention, the analysis area may be an area to analyze the market size, and may be an administrative unit or a town unit, an apartment complex, a unit such as a house number, a city, etc., and an upper region may be an upper region unit including an analysis region. For example, if the analysis area is an administrative dong or a town unit, it may be a city or district unit or a special / metropolitan city / provincial unit.

The commodity market scale calculation unit 130 applies the product attractiveness or the weight of the potential in the analysis region for the upper region to the estimated or actual performance of the entire analysis target product for the customer reference object in the upper region (multiplying by Calculate the size of the product market by analysis region.

According to one preferred embodiment, the commodity market scale calculation server 100, if the customer subject is an individual, and analyzes the address, if the apartment (including apartment houses, villas, etc.) apartment group customers, if the address outside the apartment Classified as a general housing group customer, if the customer is a company or business entity, if it is a private business owner Soho-gun customers, if it is a non-soho corporate business company customers are classified as a corporate group customer and recorded in the customer classification DB. In one embodiment, the product market size calculation DB 200 as shown in FIG. 1 includes a customer classification DB and a class of subjects classified in detail by classified customer subjects (apartment customers, general house customers, SOHOs, companies). It includes the product classification database for each customer that calculates the product amount per customer for each classification criteria DB and subject classification criteria DB.

In addition, according to a preferred embodiment, the product market size calculation DB 200 is a general population including the apartment population DB including the apartment equilibrium, the number of households and addresses by city, and the average monthly income of households by administrative buildings and the number of households. Population DB, Lo-Ho Population DB, which includes the number of loans per sub-business by administrative building, the number of employees per individual company, the number of businesses in the food and hospitality industry, the number of workers and the number of private companies in the food and hospitality industry, and the enterprises by company It may include a corporate population database that includes the size and total amount of financial loans.

In addition, the DB of attractiveness of the population applying the product holdings per customer by subject according to the subject class classification DB, which classifies the subject DB by subject according to the subject classification criteria DB, and the subjects of city (Seoul, Busan, Gyeonggi, etc.) It may include a product sales DB by subject of registered trials and a DB of product market size by subject of a population calculated by using the product sales DB of trials and the attractiveness of each subject of the population.

The product market scale calculation server of the product market scale calculation system according to another embodiment of the present invention will be described in detail with reference to FIG. 2.

Referring to FIG. 2, the merchandise attractiveness calculation unit 110 of the merchandise market scale calculation server 100 includes a classification classification module 111, a merchandise performance input module 113, and a merchandise attractiveness calculation module 115. Is done. The classification module 111 reads the classification according to the grade or the classification stored in the DB according to the setting of the customer reference target of the analysis target product to be analyzed on the market scale. The product performance input module 113 receives a product record or a survey result per customer for each level that is already classified for the set customer reference object, or reads a product record or survey result per customer already stored from the DB. The merchandise attractiveness calculation module 115 applies (multiply) the product performance or survey results per customer received or read according to the number of customers who can purchase the product in the analysis region and the upper region of the analysis target product by the classified grades. Calculate product attractiveness or potential in the analysis region and higher region for the customer base target. In the present invention, the number of customers means the number of customers who can purchase a corresponding product unless otherwise specified.

Also, preferably, referring to FIG. 2, the product market scale calculation unit 130 of the product market scale calculation server 100 includes a performance input module 131 and a market scale calculation module 133. The performance input module 131 receives the entire estimated performance or actual performance of the customer reference object in the upper region or reads the estimated performance or actual performance of the entire stored data from the DB. And the market scale calculation module 133 is a customer in the upper region that has received or read the input of the product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the upper region's product attractiveness or potential The product market size of each analysis region is calculated by applying (multiplying) the total estimated or actual performance of the reference object.

Next, the product market scale calculation method according to another aspect of the present invention will be described with reference to the drawings. The same configuration as that of the commodity market scale calculation system is used with the same reference numerals, and descriptions of overlapping descriptions will be omitted in the following embodiments.

3A and 3B are flowcharts illustrating a method of calculating a product market size according to an embodiment of the present invention. The product market scale calculation method according to an embodiment of the present invention calculates the product market scale by the product market scale calculation server 100.

3A and 3B, the method for calculating a product market size according to an embodiment may include calculating product attractiveness or potential in the analysis region and the upper region (S100) and calculating the product market size for each analysis region ( S200) is made.

In calculating the attractiveness or the potential of the product in the analysis region and the upper region (S100), the product size per customer per customer or the survey results for the analysis target product of the analysis target product to be analyzed may be used. Product attractiveness or potential in the region of analysis and higher region. Preferably, in the case of new products, it is used as a product estimation result per customer calculated after the survey.

In calculating the product market size by analysis region (S200), the attractiveness or potential weight of the product in the analysis region for the upper region is calculated based on the estimated performance or actual performance of the entire analysis target product for the customer reference target in the upper region. Apply (multiply) the product market size by region.

In addition, referring to Figure 3b, according to one embodiment of the present invention, the product market scale calculation method of the above-described embodiments is calculated by calculating the product market size by analysis region for each customer reference object for the analysis target product to be market size After calculating the product market size of the analysis area for each customer reference target calculated by the calculated customer market target further comprises the step of calculating the product market size of the analysis area for the entire customer reference target (S300). Depending on the nature of the product, the customer base targets can vary, and in that case, the market size of the product to be analyzed is aggregated by calculating and summing up the product market size in the analysis area for each customer base target. For example, for the receiving products of the financial products, for example, apartment group customers, general housing customers, SOHO group customers, and corporate group customers are all suitable for the customer criteria. After that, it will be aggregated. In addition, since mortgage loan products correspond to apartment group customers and general housing group customers, the product market size for each analysis region is calculated and added to these customer reference targets only. In addition, in the case of SOHO loan products, only Soho-gun customers are suitable as the customer criteria, so it is sufficient to calculate the product market size in the analysis area for Soho-gun customers.

4 is a flowchart illustrating a product attractiveness or potential calculation process in a product market scale calculation method according to an exemplary embodiment of the present invention.

Referring to FIG. 4, in the product market scale calculation method of the above-described embodiments, the calculating of the attractiveness or the potential of the product (S100) may include selecting a target (S110), inputting a product record (S130), and calculating a product attractiveness. It includes (S150). In the target selection step (S110), the customer reference target of the analysis target product to be analyzed in the market scale is set in the calculation server. Preferably, the customer reference object to be set is already stored in the classification in the product market scale calculation DB (200). Stored classification DB can be modified and stored. These classifications are classified to consider the difference in the product demand or product performance of the customer of the product, and to increase the accuracy of the estimation of the market size of the product. The more segmented the classification, the more accurate the estimation of the commodity market size, which requires more data and the more complicated the calculation process.

Looking at the classification of the customer reference object, for example, in the case of apartment group customers can be classified by the equilibrium and the price, or can be classified by the real estate economic value. In the case of general housing customers, the classification may be based on monthly income or real estate economic value. For Soho customers, the food and lodging business and other private business operators can be divided and classified.The food and lodging business can be classified by the number of businesses and the number of workers per business, or the sales of each business unit. The ratings can be classified by data representing economic capabilities, such as profits and profits.In the case of other individual business owners, the ratings are classified by the financial sector loans and the number of employees per individual business owner, or they represent economic capabilities such as sales and profits of individual business owners. Classes can be identified by data.

In the product performance input step per customer (S130), the product performance or survey results for each customer are input for each of the grades already classified for the set customer standard object, or the product performance or survey results per customer are already stored from the DB. The product performance per customer for each of the classified grades is preferably stored in the product market scale calculation DB 200. In the present invention, the product performance per customer may be, for example, the product performance by grade of the customer actually secured by a specific financial institution, or may be the product performance of the customer obtained through a survey or the like. Product performance per customer in the present invention may be a part of the performance rather than the overall performance in the product field.

In the merchandise attractiveness calculation step (S150), the product performance or survey results per customer received or read are applied according to the number of customers who can purchase products in the analysis region and the upper region of the analysis target product for each classified grade (multiply). Calculate product attractiveness or potential in the analysis region and higher region for the customer base target.

5 is a flowchart illustrating a process of calculating a product market size for each analysis region in the method for calculating a product market size according to an embodiment of the present invention.

Referring to FIG. 5, in the method of calculating the product market size of the above-described embodiments, the calculating of the product market size for each analysis region (S200) may include an overall estimation or actual performance input step (S210) and an analysis region market scale calculation step (S230). ), And in the input of the total estimated or actual results (S210), the total estimated or actual results of the customer reference object in the upper region are input or the estimated or actual results of the already stored DB are stored. Read from In the analysis region market scale calculation step (S230), the ratio of product attractiveness or potential in the analysis region for the upper region is calculated from the calculated region and product region attractiveness or potential in the upper region. The product market size of each analysis region is calculated by applying (multiplying) the overall estimated performance or actual performance of the target customer base of the product. The overall estimated performance or actual performance of the customer reference target in the upper region is also preferably stored in the market scale calculation DB 200. In the present invention, the estimated performance or actual performance is the overall estimated performance or actual performance of the analysis target product. For example, in the case of financial institutions, the performance of most financial institutions is calculated for all products in metropolitan cities / provinces, which are upper regions of administrative buildings, and thus, the overall estimated performance or actual performance of the analyzed products can be obtained.

Next, a specific embodiment of the present invention will be described by dividing each of the customer reference target is an apartment group customer, a general housing group customer, a SOHO group customer, a corporate group customer.

Referring to Figures 3a, 3b, 4 and 5, the product market scale calculation, the selection of the target (S110), input the product performance per customer for each classified class or read from the DB (S130), the product performance application per product for each grade Product attractiveness (latency) calculation process (S100), including the process of calculating the attractiveness (potential) (S150), and input from the overall estimate or actual performance in the upper region or read from DB (S210) and the upper region The product market size calculation process by analysis region (S200), which includes the product market size calculation by analysis region (S230) by applying (multiplying) the product attractiveness ratio in the analysis region to the estimated or actual performance of the entire upper region. It is made, including.

In addition, referring to Figure 3b, after the product market scale calculation process (S200) of the analysis region for each of the customer reference targets, the aggregate step (S300) of the product market size for each analysis region for the customer reference targets is further included.

First, according to one preferred embodiment, in the above-described embodiments, a case where the customer reference target is an apartment group customer will be described. 3A, 3B, 4 and 5 will be described in the configuration and process when the target selection (S110) as the apartment group customer in the product market scale calculation task.

3A, 3B, 4, and 5, the product attractiveness or potential calculation process for the apartment group customer includes a target selection step (S110), a product performance input step per customer (S130), and a product attractiveness calculation step (S150). It is made, including. For example, the market size of the apartments of the population located in the country aggregates the product performance per customer by class according to the already classified apartment class (S130), and calculates the product attractiveness by applying the product performance per customer by the class of the apartment apartment (S150). )do.

Specifically, in the object selection step (S100), the apartment group customer is set as the customer reference object of the analysis target product to be analyzed on the market scale by the calculation server. In the product performance input step per customer (S130), the product performance per customer by actual holding or survey is input or already stored for each of the classes already classified based on the grade of the apartment group by the equilibrium and the price or the real estate value. Read the product performance per customer from the DB. In addition, in the merchandise attractiveness calculation step (S150), when the analysis target product is a generation unit product (eg, a financial product such as mortgage loan, construction mortgage loan, etc.) that is sold on a household basis, the product performance per customer received or read. Alternatively, the survey results are multiplied by the number of households available for purchase of apartments in the analysis region and the upper region, and the individual unit products (for example, savings deposits, time deposits, personal loans, credit cards, damages) for which the analysis product is sold for each individual. In the case of financial products such as insurance), the above-mentioned product performance per customer is multiplied by the product of the number of households in the analysis region and the upper region and the average number of individual persons who can purchase the product per household. Or calculate the potential.

In addition, in a preferred embodiment, referring to Figures 3a, 3b, 4 and 5, the process of calculating the product market size by analysis region for the apartment group customer is the overall estimated performance or actual performance input step (S210) and the analysis region market size calculation step It includes (S230). For example, the estimated performance or actual performance of the entire upper area apartment is input or read from the DB (S210), and the product market size for each apartment apartment is calculated (S230).

Specifically, in the overall estimation or actual performance input step (S210), the entire estimation or actual performance of the apartment group customers in the upper region is input or the estimated or actual performance of the entire stored data is read from the DB. In the analysis area market scale calculation step (S230), the overall result of the product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the upper region's product attractiveness or potential. Or by applying (multiplying) the actual results, the market size of the commodity by analysis region is calculated.

7A is an exemplary table regarding the equilibrium grades and the quote grade criteria of an apartment.

FIG. 7B shows an example of classifying apartment grades by applying a table on apartment equilibrium grades and quote grade criteria of FIG. 7A by using the equilibrium and quotes of apartments located in Suyu 3-dong, Gangbuk-gu, Seoul. After applying the product performance or survey results per customer, the product performance per apartment household is calculated by applying (multiplying) the average population per household in the administrative building where the apartment is located. The application of the average number of population per household is illustrative and the average population per household may not apply depending on product characteristics. The apartment attractiveness is calculated by multiplying the calculated product performance per apartment by the number of apartments available for purchase, and after adding the attractiveness of each apartment in Seoul, the top city where the apartment is located, the apartment attraction in Seoul, the top city of the apartment. Calculate the share in the province, and calculate the total market size by multiplying the apartment division estimates by city. Divide the number of apartments available for purchase by the total market size and calculate the amount of goods held per household.

FIG. 6 illustrates an example of estimating the sales of a product for each trial by using the sum of the sales of the products of the customers for each subject in the trial when there is no market scale data of the products in the trial unit. The total sales of each customer's trials is multiplied by the component ratio of each trial, and the sales of the subjects to be analyzed by each trial are estimated.

<Calculation of apartment market size>

Apartment Attractiveness = ((Product Performance per Apartment Customer * Population per Household in Administrative Building) * Number of Apartment Households)

Total market size of apartment = (Apartment's attractiveness of apartment / sum of apartment's attractiveness within the apartment's top attempt) * Estimated performance of the apartment's top attempt

Product holding per apartment household = total market size / apartment households

In applying the model of the above-described embodiment by those of ordinary skill in the art, when the performance of each product of the customer is a product for sale by age group, the population by age group can be substituted for the number of households, household unit products It is obvious that the population per household can be excluded in the case of. It will also be obvious to apply more or more roughly the equilibrium and quote rating criteria of an apartment. It is not the equilibrium and the market price of apartments that are applied to the estimated market size of goods, but to the market size of the actual goods, not to the city, but to the municipal and administrative units, and to the estimated market size of the goods. It is obvious that using the data indicating the economic value of the apartment such as the building price is not included in the product-specific performance of the customer, but also using the product-specific performance data by the survey.

According to another preferred embodiment, in the above-described embodiments, looks at the case where the customer reference target is a general housing group customer. 3A, 3B, 4 and 5 will be described in the configuration and process when the target selection (S110) as a general housing group customer in the product market scale calculation task.

Referring to Figures 3a, 3b, 4 and 5, the product attractiveness or potential calculation process for the general housing group customer, as in the case of the apartment group customer selection step (S100), product performance input step per customer (S130) and The merchandise charm is also made, including the step S150. For example, the market size of the general housing of the population located in the country aggregates the product performance per customer by class according to the class of apartments already classified (S130), and applies the product performance per customer by class of the general housing of the population to improve the attractiveness of the product. It calculates (S150).

Specifically, in the target selection step (S100), the general housing group customer is set as the customer reference target of the analysis target product to be analyzed in the market size in the calculation server, and in the product performance input step per customer (S130) Based on the grade based on the monthly income or the real estate value of the general housing, the product performances per customer by actual holdings or surveys are input for each grade already classified, or the product performances per customer already stored are read from the DB. In the product attractiveness calculation step (S150), when the analysis target product is a generation unit product (eg, a financial product such as a mortgage loan or a mortgage loan) that is sold on a household basis, the product performance per customer received or read or The result of the survey is multiplied by the number of households available for purchase in the residential area of the analysis region and the upper region, and the individual unit products (for example, savings deposits, time deposits, personal loans, credit cards, damages) in which the analyzed products are sold by individual In the case of financial products such as insurance), the above-mentioned product performance per customer is multiplied by the product of the number of households in the analysis region and the upper region and the average number of individual persons who can purchase the product per household. Calculate the degree or potential.

In addition, preferably, referring to Figures 3a, 3b, 4 and 5, the process of calculating the product market size by analysis region for the general housing group customers, as in the case of the apartment group customers inputting the overall estimated performance or actual performance (S210) And an analysis region market scale calculation step (S230). For example, the market size of the general housing of the population located in the country aggregates the product performance per customer by class according to the class of general housing already classified (S130), and applies the product performance per customer by class of the general housing in the population to improve product attractiveness. It calculates (S150).

In detail, in the input of the total estimated performance or actual performance (S210), the total estimated performance or actual performance of the general housing group customer in the upper region is input or the estimated or actual performance of the entire stored data is read from the DB. And, in the calculation area market size calculation step (S230), the weight of product attractiveness or potential in the analysis region for the upper region is calculated from the calculated analysis region and upper region's product attractiveness or potential. The product market size for each analysis region is calculated by applying (multiplying) the estimated or actual results.

8A is an exemplary table regarding rating criteria of a general house.

FIG. 8b shows an example of classifying general housing grades in administrative dongs by applying the table on the general housing class criteria of FIG. 8a after converting the percentile scores of monthly incomes of administrative dongs located in Gangbuk-gu, Seoul After applying the product performance or survey results per customer corresponding to the general housing class of the general house, the average product population per household in the administrative building where the general house is located is calculated (multiplied) to calculate the product performance per household. The attractiveness of the general housing is calculated by multiplying the product performance per household by the number of households that can purchase the product. Calculates the share of the attractiveness of general housing in Seoul and estimates general housing sector by city The enemy is calculated by multiplying the total market size. The product holding amount per household is calculated by dividing the number of general housing households that can purchase the product by the calculated total market size.

FIG. 6 illustrates an example of estimating the sales of a product for each trial by using the sum of the sales of the products of the customers for each subject in the trial when there is no market scale data of the products in the trial unit. The total sales of each customer's trials is multiplied by the component ratio of each trial, and the sales of the subjects to be analyzed by each trial are estimated.

<General Housing Market Calculation Formula>

General Housing Attraction = ((Product Performance per Customer of General Housing * Population per Household in Administrative Building) * Number of Households in General Housing)

Total market size of general housing = (sum of general housing attractiveness of the general housing / general housing attractiveness located in the upper city of the general housing) * estimated performance in the upper city of the general housing

Product holding per household in general housing = total market size / households in general housing

In applying the model of the above-described embodiment by those of ordinary skill in the art, when the performance of each product of the customer is a product for sale by age group, the population by age group can be substituted for the number of households, household unit products It is obvious that the population per household can be excluded in the case of. In addition, not only can the standard percentile classification criteria of general housing be applied in more detail or more roughly, but it is also subdivided by various statistical techniques, and the actual market size is not a trial unit. Data that is applied in units of units and administrative units, not in the market size of actual goods, but in the estimated market size of goods, and indicates the economic value of ordinary houses by administrative buildings, not the monthly income of households by administrative buildings of ordinary houses. In addition, the data used to indicate the economic value of general housing, such as building prices, is used for public announcements by the unit number of general houses, not by administrative buildings, and the performance data by products, rather than the product performance of customers. It will also be obvious that the included in the configuration of the present invention.

Furthermore, according to one preferred embodiment, look at the case where the customer reference object is a SOHO customer in the above-described embodiments. 3A, 3B, 4 and 5 will be described the configuration and process when the target selection (S110) as a Soho group customer in the product market scale calculation task.

Referring to Figures 3a, 3b, 4 and 5, the product attractiveness or potential calculation process for the SOHO group customer selection step (S100), product performance input step per customer (S130) and product attractiveness calculation step (S150) It is made, including. For example, the market size of Soho customers in a population located in the country is calculated by calculating the product performance per customer by class according to the already classified Soho class (S130), and calculating the product attractiveness by applying the product performance per customer by the class of Soho customers. (S150).

In detail, in the target selection step (S100), the SOHO group customer is set as the customer reference target of the analysis target product to be analyzed on the market scale by the calculation server.

Next, in the product performance input step (S130), customers in Soho are divided into food and lodging businesses and other individual businesses. In the case of food and lodging businesses, the classification is divided by the number of businesses and the number of workers per business. Based on a rating by economic value, including revenues by class already classified by Soho Group customers or by Soho Business Unit units of Soho Group customers, based on a combination of loans and ratings by number of employees per individual entrepreneur. As a result, the product records per customer by actual holding or survey are inputted for each class already classified, or the product records per customer already stored are read from the DB.

In the product attractiveness calculation step (S150), when the product to be analyzed is a product that is sold by being limited to a sub-item of a particular industry, the product performance or survey results per customer inputted or read out may be determined based on the specific industry of the analysis region and the upper region. Product purchase possible Soho Multiply according to the number of business owners, and if the analysis target product is a business unit product (for example, financial products such as individual business loans) sold by the business unit, the above-mentioned product performance per customer is purchased in the analysis region and the upper region. Multiply according to the number of possible SOHO operators to calculate the attractiveness or potential of the product in the analyzed region and the upper region for SOHO customers.

Also, referring to FIGS. 3A, 3B, 4, and 5, the product market size calculation process for each analysis region for SOHO group customers may include an overall estimation or actual performance input step (S210) and an analysis region market scale calculation step ( S230) is made. For example, the market size of Soho customers in a population located in the country is calculated by calculating the product performance per customer by class according to the class of Soho customers already classified (S130), and applying the product performance by customer per class of the population Soho customer to improve product attractiveness. It calculates (S150).

In the overall estimated performance or actual performance input step (S210), the entire estimated performance or actual performance of the SOHO group customer in the upper region is input or the estimated or actual performance of the entire stored data is read from the DB. In the analysis area market scale calculation step (S230), the overall result of the estimation of the product attractiveness or potential in the analysis region for the upper region from the calculated analysis region and the upper region's product attractiveness or potential. Or by applying (multiplying) the actual results, the market size of the commodity by analysis region is calculated.

9A is an exemplary table of subclass rating criteria.

9B is a subsidiary of an administrative building in Soho, located in Gangbuk-gu, Seoul. After converting the financial loans per company, the number of employees per individual business, the number of businesses with 9 or less food and hospitality businesses, the number of workers per business with 9 or less workers in the food and hospitality industry, After calculating the percentiles of employees per individual business, recalculate the percentiles of the items in the country, and extract the SOHO scale grade by applying the table on the SOHO scale criteria criteria of FIG. 9A, and below 9 persons in the food and accommodation sector. After averaging the percentiles by number of businesses and the percentiles by number of workers per business of 9 or fewer in the food and hospitality sector, Re-calculating the percentile is extracted by applying the table relating to food and food grade lodging in Figure 9a the lodging industry grade standards. 9B is an exemplary embodiment and the scope of the present invention is not limited thereto.

FIG. 9B shows an example of classifying SOHO ratings in administrative buildings by applying a table on SOHO rating criteria in Soho, Gangbuk-gu, Seoul, and after applying the product performance or survey results per customer corresponding to SOHO rating in Soho, Soho attractiveness is calculated by multiplying the calculated number of private businesses in the administrative building where Soho is located, and after summarizing the attractiveness of each Soho in Seoul, the top city where Soho is located, within the Soho attractive road in Seoul, which is the top city of Soho. The market share is then calculated by multiplying the SOHO estimate by trial. Divide the number of private companies by the total market size and calculate the product holdings per household.

FIG. 6 illustrates an example of estimating the sales of a product for each trial by using the sum of the sales of the products of the customers for each subject in the trial when there is no market scale data of the products in the trial unit. The total sales of each customer's trials is multiplied by the component ratio of each trial, and the sales of the subjects to be analyzed by each trial are estimated.

<Soho market scale calculation formula>

Soho Attractiveness = (Product Performance per Customer in Soho * Number of Individual Businesses in Administrative Building)

Soho Total Market Size = (Soho Attractiveness of the Soho / Soho Attractiveness in the Soho's Higher Attempts) * Estimated Performance in the Soho's Higher Attempts

Product holdings per SOHO = total market size / number of individual firms

In applying the model of the embodiment described above by a person of ordinary skill in the art, if the customer's product performance is limited to the subheading of a specific industry, the number of sub-businesses in a particular industry is substituted for the number of private business owners. Can be replaced. In addition, the Soho percentile rating criteria can be applied in more detail or more roughly, and the segmentation by various statistical techniques is not the attempt size of the actual product, but the municipal and administrative districts. The application of units in units, not in actual market size of goods, but in estimated market size of goods, loans of financial rights per sub-company in each administrative division of Soho, number of employees per individual business, food and hospitality businesses with 9 or fewer businesses The use of data representing the economic value of SOHOs by administrative activities, rather than the number of workers per business of less than 9 in the food and hospitality sectors, is not economical. Using data that represents value is not a product-specific performance of the customer, but rather a product-specific performance data from surveys. Also be used, included in the configuration of the present invention will be apparent.

Furthermore, according to another preferred embodiment, look at the case where the customer reference target is a corporate group customer in the above-described embodiments. 3A, 3B, 4 and 5 will be described in the configuration and process when the target selection (S110) as a corporate group customer in the product market scale calculation task.

3A, 3B, 4, and 5, the product attractiveness or potential calculation process for the corporate group customer includes a target selection step (S100), a product performance input step per customer (S130), and a product attractiveness calculation step (S150). It is made to include. For example, the market size of corporate customers of a population located in the country aggregates the product performance per customer by class according to the already-classified company class (S130), and calculates the product attractiveness by applying the product performance per customer by class of the population company ( S150).

Specifically, in the target selection step (S100), the enterprise group customer is set as the customer reference target of the analysis target product to be analyzed on the market scale by the calculation server.

Next, in the product performance input step (S130), the actual holding or questionnaire by the class already classified based on the grade or sales, the number of employees, the return on investment, or the profit or loss based on the company size and the loan amount of the financial group of the enterprise group customer The customer's product record per customer is inputted or the already stored product record is read from the DB.

In the merchandise attractiveness calculation step (S150), when the analysis target product is a business unit product (for example, a financial product such as a corporate loan) that is sold in a business unit, the above-described product performance per customer is purchased in the analysis region and the upper region. Multiply according to the number of possible businesses, and if the product to be analyzed is limited to a company in a particular industry, the product performance or survey results per customer entered or read can be purchased in a specific industry in the analysis area and upper region. Multiply by the number of operators to calculate the attractiveness or potential of the product in the analysis region and upper region for the corporate customer.

Further, preferably, referring to Figures 3a, 3b, 4 and 5, the product market size calculation process of each analysis region for the enterprise group customer is the overall estimated performance or actual performance input step (S210) and the analysis region market size calculation step (S230) ) For example, the market size of corporate customers of a population located in the country aggregates the product performance per customer by class according to the already-classified company class (S130), and calculates the product attractiveness by applying the product performance per customer by class of the population company ( S150).

In the overall estimated performance or actual performance input step (S210), the total estimated performance or actual performance of the corporate customers in the upper region is inputted or the estimated or actual performance of the entire stored data is read from the DB. In the analysis area market size calculation step (S230), the weight of the product attractiveness or potential in the analysis region for the upper region is calculated from the calculated analysis region and the upper region's product attractiveness or potential. The product market size for each analysis region is calculated by applying (multiplying) the actual results.

Figure 10a is an exemplary table of the enterprise scale rating and loan scale rating criteria of the enterprise.

FIG. 10B shows an example of classifying company grades by applying a table of enterprise size grades and loan scale grade criteria of FIG. 10A using the company size and financial sector loan amount of a company located in Suyu 3-dong, Gangbuk-gu, Seoul. After applying the product performance or survey results per customer corresponding to the company class, multiply the number of companies with the financial loan in the administrative building where the company is located, and calculate the attractiveness of each company. After summing up, the company's share of the firm's top attempts in Seoul is calculated, and the total market size is multiplied by the company's earnings estimates by city. Divide the number of financial lending firms by the total market size to calculate the product holdings per firm.

FIG. 6 illustrates an example of estimating the sales of a product for each trial by using the sum of the sales of the products of the customers for each subject in the trial when there is no market scale data of the products in the trial unit. The total sales of each customer's trials is multiplied by the component ratio of each trial, and the sales of the subjects to be analyzed by each trial are estimated.

<Company market size calculation formula>

Firm attractiveness = Product performance per corporate customer * Number of firms with administrative agreement

Total market size of the company = (Company attractiveness of the company / sum of the attractiveness of each company in the top city of the company) * Estimated performance in the top city of the company

Product holdings per company = total market size / number of companies holding loans in the financial sector

In applying the model of the above-described embodiment by a person skilled in the art, the number of businesses by a specific industry, where the product performance of the customer is limited to a specific industry, can be replaced by the number of companies with loans to the financial sector. In addition, in addition to applying the company's percentile rating criteria in more detail or more roughly, and further subdividing by various statistical techniques, the market size of the actual product is not a trial unit, but a municipal and administrative unit. It is not applied to the actual market size of the commodity, but also to the estimated market size of the commodity, but not to the company's company size or loan size, but includes some or all of the company's sales, employees, and return on investment. To use data that represents the economic capabilities of a company, not just a business unit, but a city, district, It is not applied to the affective unit, not to the actual market size of the product, but to the estimated market size of the product, or to use the performance data of each product by a survey, not the product performance of the product of the customer. Inclusion will be self-evident.

4 and 5, in one embodiment of the present invention, when the product market scale calculation task is selected (apartment, general house, SOHO, company) to be analyzed (S110), for example, analysis of an apartment If you want to do this, calculate the market size of each apartment product, and if you want to analyze the general house, calculate the market size of the general house. If you want to analyze the SOHO, calculate the market size of each product. If the company intends to calculate the market size by product for a company such as a corporation except Soho, the market size for each product of a company shall be calculated. In addition, referring to FIG. 3B, when it is necessary to calculate the market size for each product incorporating such customer reference objects according to the property of the product, the result calculated from each customer reference object is calculated.

After calculating the market size of goods by each subject, the aggregate of the market size by subject in FIG. 3b is shown as an example of each administrative dong in Gangbuk-gu, Seoul, and the contents are shown in the total market of apartments, houses, Soho, and companies. It includes the market size of products per household company, which is calculated by dividing the size and total market size of each actor by the number of households, and includes the total market size of households and product holdings per household by adding apartments and general housing. However, if the market size is aggregated by business unit rather than administrative unit, the market size of apartments and companies is calculated by apartment complexes and businesses. In this case, the market size is calculated in units of administrative buildings, and the market size of general housing is calculated by reflecting the density of general houses in the administrative ridge.In case of Soho, the market size is reflected by the density of the number of private businesses in the administrative ridge. . The market size calculated in this way is summed up in each commercial unit.

In the new development site currently under development, it is possible to apply the embodiment according to the present invention. For example, according to one embodiment, the apartment complex's equilibrium, the number of households by market, the monthly income and the number of households, the loans of financial institutions per sub-company in Soho, the number of employees per individual business, the number of businesses under 9 persons in the food and lodging industry, Obtaining or estimating the number of workers per business of less than 9 people in the food and hospitality sector and the number of firms by company size and the size of financial sector loans can calculate the potential of products by subjects. I'll omit it because it's the same.

In the above, the present invention has been described with reference to the preferred embodiments with reference to the accompanying drawings. The accompanying drawings and the foregoing embodiments are described by way of example to help those skilled in the art to understand the present invention. Therefore, various embodiments of the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention, the foregoing embodiments are to be considered as illustrative and not restrictive. Therefore, the scope of the present invention should be interpreted according to the invention described in the appended claims rather than the above-described embodiments, and various modifications, alternatives, and equivalents described by those skilled in the art are described above. It is obvious that it is included in the scope of the.

1 is a state diagram illustrating a state in which a user is connected to a product market scale calculation system according to an embodiment of the present invention through a network;

2 is a schematic block diagram showing a product market scale calculation server of a product market scale calculation system according to an embodiment of the present invention;

3A and 3B are flowcharts illustrating a method of calculating a product market size according to an embodiment of the present invention.

4 is a flowchart illustrating a product attractiveness or potential calculation process in a product market scale calculation method according to an embodiment of the present invention.

5 is a flowchart illustrating a process of calculating a product market size for each analysis region in the method for calculating a product market size according to an embodiment of the present invention.

6 is a table for estimating the market size of each product of each trial,

7A is an apartment class classification criteria table.

7b is a table showing the product market scale of an apartment;

Figure 8a is a general housing class classification criteria table diagram,

8b is a table showing the product market size of a general house;

9A is a SOHO classification criteria table diagram,

9B is a table illustrating a product market size calculation of SOHO;

10A is a company class classification criteria table diagram,

Figure 10b is a table of the product market size calculation of the company,

11 is a table showing the aggregated product market size of apartments, general housing, SOHO, and enterprises.

<Description of Symbols for Main Parts of Drawings>

1: product market scale calculation system 100: product market scale calculation server

110: product attractiveness calculation unit 130: product market scale calculation unit

200: Product market size calculation DB

Claims (11)

Product analysis area that the product market size calculation server analyzes the market size by using the product performance or the survey results per customer for each customer reference target grade of the customer reference target for the analysis target product Calculating merchandise attractiveness in an upper region including the analysis region; And The product market scale calculation server has a weight ratio of product attractiveness in the analysis region to the upper region, and multiplies the estimated performance or actual performance of the analysis target product to the customer reference object in the upper region by the product market by analysis region. Calculating the scale; In the above, calculating the merchandise attractiveness is: A target selection step of setting a customer reference target of an analysis target product to be analyzed on a market scale by the product market scale calculation server; A product performance per customer input step of receiving a product record or a survey result per customer for each of the customer criteria target grades already classified for the set customer reference object or reading a product record or survey result per customer from a DB; And The product market scale calculation server has a product record or a survey result per customer that is input or read, and multiplies the number of products available for purchase in the analysis region and the upper region for the analysis target product by the classified customer criteria target grades. And a product attractiveness calculation step of calculating product attractiveness of the analysis region and the upper region. In the above, calculating the product market size for each analysis region: The estimated market or calculation results of the product market scale calculation server receiving the estimated or actual results of the entire analysis target product for the customer reference object in the upper region or reading the estimated or actual results of the entire stored data from the DB; Actual performance input step; And From the calculated analysis region and the product attractiveness of the upper region of the analysis target product with respect to the customer reference target in the upper region received or read with the ratio of the product attractiveness in the analysis region to the upper region A product market scale calculation method comprising: calculating an analysis region market size by calculating a product market size for each analysis region by multiplying the total estimated performance or actual performance. delete delete The method according to claim 1, The product market scale calculation server calculates the product market size by analysis region for each customer reference object for the analysis target product to analyze the market size, and then adds the product market size of the analysis region for each customer reference object A product market scale calculation method further comprising the step of calculating the product market size of the analysis region for the customer reference target. The method according to claim 1 or 4, According to the above-mentioned analysis products, the customer base target for the analysis target product to be analyzed is the apartment group customers including apartment houses, apartment houses and villas, the general housing group customers and individual business owners except the apartment group. A method for calculating the market size of a product, characterized in that it is classified as part or all of the SOHO group customers, including the corporate group customers, including corporate business. The method of claim 5, wherein the customer reference target is an apartment group customer, Product attractiveness calculation for the apartment group customers: A target selection step of setting an apartment group customer as a customer reference target of an analysis target product to be analyzed in a market size calculation server; The commodity market scale calculation server receives the actual record of the product held per customer or by the survey by the class already classified based on the equilibrium and the price of the apartment group or the property value by real estate value or the already stored product per customer. A product performance input step per customer to read the results from the DB; And If the product to be analyzed is a unit of product sold on a household basis, the input or read product performance or survey results per customer are multiplied according to the number of available product generations of the apartment group in the analysis region and the upper region. If the product is an individual unit product sold for each individual, the product performance per customer is multiplied by the product of the number of households in the analysis region and the upper region and the average number of individual persons who can purchase the product per household. A product attractiveness calculation step of calculating a product attractiveness of the region; Calculation of the market size of products by analysis region for the apartment group customers: The estimated market or actual results of the product market scale calculation server receiving the estimated or actual results of the entire analysis target product for the apartment group customers in the upper region or reading the estimated or actual results of the entire stored data from the DB. Performance input step; And Analyzing by multiplying the estimated performance or actual performance of the entire product to be analyzed for the apartment group customer with the ratio of the product attractiveness in the analysis region to the upper region from the calculated analysis region and product attractiveness of the upper region An analysis region market scale calculation step of calculating the product market size by region; product market scale calculation method comprising the. The method of claim 5, wherein the customer reference target is a general housing group customer, Product attractiveness calculation for the general housing group customers: A target selection step in which a general housing group customer is set as a customer reference target of an analysis target product to be analyzed in a market size calculation server; The product market scale calculation server receives the actual product records per customer by the grades already classified or classified by the grades based on the monthly income of the general housing group customers or the real estate value of the general housing, or the stored per customer A product record input step per customer to read the product record from the DB; And If the product to be analyzed is a unit of a product sold on a household basis, the input or read product performance or survey results per customer are multiplied according to the number of purchaseable households of the general housing group in the analysis region and the upper region, and analyzed. If the target product is an individual unit unit product sold for each individual, the product performance per customer is multiplied by the product of the number of households in the analysis region and upper region and the average number of individual persons available for product purchase per household, and the analysis region for the general housing group customer. And a product attractiveness calculation step of calculating product attractiveness of the upper region. Calculation of the market size of goods by analysis region for the general housing group customers: The product market scale calculation server receives the total estimated performance or actual performance of the entire product to be analyzed for the general housing group customer in the upper region, or reads the total estimated performance or actual performance already stored from the DB; Actual performance input step; And From the calculated attractiveness of the analysis region and the upper region, the ratio of the attractiveness of the product in the analysis region to the upper region is multiplied and multiplied by the estimated performance or actual performance of the entire analysis target product for the general housing group customer. A product market scale calculation method comprising: a step of calculating an analysis region market size for calculating a product market size for each analysis region. The method according to claim 5, wherein when the customer reference target is Lo-Ho group customers, Product attractiveness calculation for the SOHO group customer is: An object selection step of setting a SOHO group customer as a customer reference object of an analysis target product to be analyzed in a market size calculation server; The product market scale calculation server Soho-gun customers are categorized into food and lodging businesses and other sole proprietors, categorized by the number of businesses and workers per business in food and lodging businesses, and by financial loans per individual business owners and the number of employees per individual business owner. Actually held or surveyed by grades already classified by grades already classified on the basis of the SOHO group customer's grades by a combination of classified grades or by grades already classified by economic value, including sales by SOHO units of SOHO group customers A product-per-customer product input step of receiving product-per-customer product results from a survey or reading already stored product-per-customer product results from a DB; And If the product to be analyzed is a product that is sold only to a subheading of a particular industry, the product performance or survey results per customer received or read is included in a product that is limited to the subheading of the particular industry in the analysis area and the upper region. The SOHO group that can multiply according to the number of SOHOs available for purchase, and if the analysis target product is a business unit product sold in a business unit, the product performance per customer for the business unit products in the analysis area and the upper region. A product attractiveness calculation step of calculating product attractiveness of the analysis region and the upper region by multiplying by the number; The market size of the commodity market by analysis region for the Soho-gun customers is: The estimated market or actual results of the product market scale calculation server receiving the estimated or actual performance of the entire analysis target product for the SOHO group customers in the upper region or reading the estimated or actual performance of the entire stored data from the DB. Performance input step; And Analyzing by multiplying the estimated performance or actual performance of the entire product to be analyzed for the Soho-kun customers by the weight of the product attractiveness in the analysis region for the upper region from the calculated analysis region and product attractiveness of the upper region An analysis region market scale calculation step of calculating the product market size by region; product market scale calculation method comprising the. The method according to claim 5, wherein the customer reference target is a corporate group customer, Product attractiveness calculation for the enterprise group customers: A target selection step of setting a corporate group customer as a customer reference target of an analysis target product to be analyzed in a market size calculation server; The product market scale calculation server is actually owned by a class or class based on the size or sales, employee count, return on investment, or profit or loss based on the company size and the loan amount of the financial sector of the enterprise group customer or by the survey A product per customer input step of receiving a product record per customer or reading a previously stored product per customer product from a DB; And If the analysis target product is a business unit product sold in a business unit unit, the product performance per customer is multiplied by the number of business purchasers available for the business unit product in the analysis region and the upper region, and the analysis product is a company of a specific industry. In the case of a product that is sold only to the customer, the product performance or survey results per customer received or read according to the number of businesses who can purchase the product for the product sold by being limited to the companies of the specific industry in the analysis region and the upper region And a product attractiveness calculation step of calculating product attractiveness of the analysis region and the upper region by multiplying the corporate group customer. Calculation of product market size by analysis region for the enterprise group customers: The total estimated or actual performance of the commodity market scale calculation server, which receives the estimated or actual performance of the entire analysis target product for the corporate group customer in the upper region or reads the estimated or actual performance of the entire stored data from the DB. Input step; And From the calculated attractiveness of the analysis region and the upper region, the ratio of the attractiveness of the product in the analysis region to the upper region is multiplied by the estimated performance or the actual performance of the analysis target product for the enterprise group customer by analysis region. An analysis area market scale calculating step of calculating the product market size; product market scale calculation method comprising the. In the commodity market scale calculation system comprising a commodity market scale calculation server, The product market scale calculation server is: The analysis area including the analysis area and the analysis area which are the market size analysis target for the customer reference object by using the product performance per customer or the survey results of the customer reference object grade for the customer reference object of the analysis target product to analyze the market size A merchandise attractiveness calculation unit for calculating merchandise attractiveness in the upper region; And A commodity market that calculates the product market size for each analysis region by multiplying the estimated performance or actual performance of the entire product to be analyzed for the customer reference object in the upper region with the weight of product attractiveness in the analysis region with respect to the upper region. A scale calculation unit; In the above, the merchandise attractiveness calculation unit: A classification module for classifying according to the setting of the customer reference object of the analysis target product to be analyzed for market size or reading the classification for each class stored in the DB; A product record input module for receiving a product record or a survey result per customer for each of the grades already classified with respect to the set customer reference object or reading a product record or survey result per customer already stored from a DB; And The analysis region and the upper region for the customer reference object by multiplying the input or read product performance or survey results per customer by the classified grade by the number of products available for purchase in the analysis region and the upper region for the analysis target product Includes; a product attractiveness calculation module for calculating a product attractiveness of the, In the above, the commodity market scale calculation unit: A performance input module for receiving an estimated performance or actual performance of the entire analysis target product for the customer reference object in the upper region or reading an estimated performance or actual performance of the entire stored data from a DB; And The total analysis target product for the customer reference object in the received or read upper region having the ratio of the attractiveness of the product in the analysis region to the upper region from the calculated analysis region and the product attractiveness of the upper region. A commodity market scale calculation system, comprising: a market scale calculation module for calculating a commodity market size for each analysis region by multiplying the estimated performance or actual performance of the analysis region. delete

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