KR100469495B1 - Method for marketing support of service using geographic - Google Patents

Abstract

The present invention relates to a marketing support service method using geographic information to analyze the characteristics of the market by combining customer, market and various statistical information with geographic information to establish marketing strategies for each market and improve its competitiveness and performance. The present invention includes determining whether the user is a member or non-member, and if the determination result is a normal member, transmitting a web browser window to search for information related to marketing support on the screen of the user computer; Determining whether the owner's right analysis has been clicked to set up the sales zone of each branch and analyzing the current status of customers in the sales zone, the redundancy analysis between each branch and the competition with other companies, and the result of the determination If is clicked, it executes the information retrieval routine for store ownership analysis to the screen of user's computer. In the step of transmitting a web browser window, and if the result of the judgment does not click the analysis of the occupancy rights, the market that analyzes the demographics in the business area, corporate competition market, individual competition market and company performance by region through a user computer. Determining whether an analysis has been clicked.

Description

Method for marketing support of service using geographic}

The present invention relates to a marketing support service method using geographic information. More specifically, it analyzes the characteristics of a market by integrating geographic information system (GIS) with customers (company, individual, etc.), market and various statistical information. It is about marketing support service method using geographic information that can establish marketing strategy by market (analyze customer, company and branch, competitor), and improve its competitiveness and performance.

Today, due to the rapid proliferation of computer systems and the Internet, digital maps using the Internet have emerged and have emerged as a means of providing important geographic information.

For example, the Geographic Information System (GIS) through the Internet has become an important resource for coping with various geographic information changes by providing desired geographic information on the web.

1 and 2 are examples of a conventional Internet geographic information service, which includes map information of major cities or major regions including Seoul, or nationwide map information and a map search engine to transmit map information of a desired region to a user's computer. The note is an example.

FIG. 1 is a planar map showing the Seoul area divided into districts, and when a user clicks on a desired area, a flat map of the corresponding area is displayed as shown in FIG. 2.

Many sites that provide this type of map information service are currently in operation, and these sites enter search terms such as address, business name, and postal code into the search box of the map search engine, and then execute the screen to display a flat map of the searched location. Will output

However, since the Internet electronic map provided by such geographic information merely provides geographic information (for example, maps, maps, etc.) and facility display information, it is not necessary to analyze user startup information or commercial business analysis based on the electronic map. There was a problem.

In particular, the conventional manual bar is made manually based on the text data to analyze the commercial rights, which takes a lot of time and manpower, and there is a problem that it is difficult to analyze sufficient business rights due to lack of information.

In addition, in order to grasp the market size of the region in the past, only the population and the number of companies in the unit can be grasped, so there was a problem in actually analyzing the commercial area.

Therefore, the present invention has been proposed to solve the above problems according to the prior art, the object of the present invention by combining the customer, market and various statistical information with geographic information to analyze the characteristics of the market to establish the marketing strategy for each market It also provides marketing support services using geographic information to improve its competitiveness and performance.

In addition, an object of the present invention is divided into a part capable of analyzing the branch and a part capable of analyzing the general commercial area, to provide a marketing support service method using geographic information to enable a variety of user analysis.

Features of the marketing support service method using geographic information according to the present invention for achieving the above object,

In a service method of a marketing support service system comprising a user computer (PC), a plurality of information providing affiliates, and a marketing support company having a web server and a database,

Determining whether the user is a member or a nonmember;

If the determination result is a normal member, transmitting a web browser window for searching for information related to marketing support to a screen of a user computer;

Setting a sales zone of each branch through the user computer and determining whether a shopkeeper analysis for analyzing customer status in the sales zone, redundancy analysis between each branch, and competition with another company has been clicked;

Transmitting a web browser window to execute an information retrieval routine for the occupancy analysis, if the analysis of the occupancy rights is clicked on as a result of the determination;

If the result of the determination is that the shop owner analysis has not been clicked, determining whether the market analysis for analyzing the demographics in the business area and the business competition market, the individual competition market, and the company's performance by region is clicked through a user computer;

If the market analysis is clicked as a result of the determination, transmitting a web browser window for executing an information search routine for market analysis to a screen of a user computer;

If the market analysis is not clicked as a result of the determination, determining whether the customer analysis for analyzing the distribution status, existing customers, and prospective customers of each grade in the area set through the user computer is clicked;

If the customer analysis is clicked as a result of the determination, transmitting a web browser window for executing an information search routine for customer analysis to a screen of a user computer;

If the customer analysis is not clicked as a result of the determination, determining whether a commercial analysis for analyzing lifestyle statistics and demographics for the customers in the administrative area or the area arbitrarily set by the user is clicked through a user computer;

If it is determined that the business analysis is clicked, transmitting a web browser window to execute an information retrieval routine for business analysis on a screen of a user computer;

If it is determined that the business analysis is not clicked, determining whether a growth rate analysis showing a weighting result based on past and present performances of each market, business type, competitors, and branches by the user computer is clicked;

If the growth rate analysis is clicked on the determination result, transmitting a web browser window for executing an information search routine for growth rate analysis to a screen of a user computer;

If the growth rate analysis is not clicked as a result of the above judgment, a weighted score is given based on past and present performances and efficiencies through the user's computer to calculate a comprehensive grade for the entire branch, and look up the evaluation status for each branch on the map. Determining whether the comprehensive analysis is clicked;

If the comprehensive analysis of the store is clicked on, as a result of the determination, transmitting a web browser window for executing the information retrieval routine for the comprehensive analysis of the store to the screen of the user computer;

If the comprehensive analysis of the store is not clicked as a result of the determination, the closed point analysis that analyzes the customer that is completed when the branch is closed by counting and analyzing the customers of the other branches in the branch owner's right through the user computer Determining whether it has been clicked;

If the closed point analysis is clicked as a result of the determination, a step of transmitting a web browser window for executing the information retrieval routine for the closed point analysis to the screen of the user computer.

1 is a map of an embodiment of a general geographic information system;

FIG. 2 is a detailed map of a partial area enlarged in the geographic information of FIG. 1;

3 is a block diagram showing a marketing support service system to which the present invention is applied;

4 is a flowchart illustrating a marketing support service method using geographic information according to the present invention;

5 is a view showing a routine for the analysis of store owner of FIG.

6A and 6 are diagrams showing a routine for setting a shop owner's right in FIG. 5;

7 is a web browser window for setting the shop owner rights of FIG.

8 is a web browser window for the shopkeeper analysis option of FIG.

9 is a web browser window for the customer distribution of Figure 6,

10 is a web browser window for the shopkeeper analysis of FIG.

11 is a web browser window for the shop owner view of FIG.

12 is a diagram showing a routine for the storekeeper statistics of FIG. 5;

13 is a web browser window for the shopkeeper statistics of FIG.

14 is a diagram showing a routine for competition analysis of FIG. 5;

15 is a web browser window for the competitive analysis of FIG.

FIG. 16 is a view illustrating a routine for an industry analysis of FIG. 5;

17 is a web browser window for the industry analysis of FIG. 16,

18 is a diagram showing a routine for customer analysis of FIG. 5;

19 is a web browser window for customer analysis of FIG.

20 is a diagram showing a routine for redundancy analysis of FIG. 5;

21 is a web browser window for redundancy analysis of FIG. 20,

FIG. 22 is a view showing a routine for the storekeeper and the business area potential analysis of FIG. 5;

FIG. 23 is a web browser window for searching the list of FIG. 22;

24 is a web browser window for the detailed search of FIG. 22;

25 is a diagram showing a routine for the market analysis of FIG. 4;

FIG. 26 is a diagram showing a routine for potential analysis of FIG. 25;

27 is a web browser window for the sales status of FIG. 26,

FIG. 28 is a web browser window for potential estimation of FIG. 26;

29 is a diagram illustrating a routine for the enterprise market of FIG. 25;

30 is a web browser window for the corporate market of FIG. 29,

31 illustrates a routine for the competitive market of FIG. 25;

32 is a web browser window for the competitive market of FIG. 31;

33 is a view showing a routine for the performance analysis of FIG. 25;

34 is a web browser window for the performance analysis of FIG. 33;

35 is a diagram showing a routine for customer analysis of FIG. 4;

36 is a diagram showing a routine for the customer distribution diagram of FIG. 35;

37 is a web browser window for the customer distribution diagram of FIG. 36;

38 is a view showing a routine for the customer status by administrative region of FIG. 35;

39 is a web browser window for the customer status by administrative region of FIG. 38,

40 is a diagram showing a routine for commercial analysis of FIG. 4;

FIG. 41 is a diagram showing a routine for business district analysis by administrative region of FIG. 40; FIG.

FIG. 42 is a web browser window for analyzing commercial rights by administrative region of FIG. 41; FIG.

FIG. 43 is a diagram showing a routine for user domain commercial analysis of FIG. 40;

FIG. 44 is a web browser window for area setting of FIG. 43;

45 is a web browser window for setting the center of FIG. 43;

46 is a diagram showing a routine for the growth rate analysis of FIG. 4;

47 is a diagram showing a routine for calculating the natural growth rate of FIG. 46;

FIG. 48 is a diagram showing a routine for calculating a store enterprise market growth rate of FIG. 47; FIG.

FIG. 49 is a web browser window for calculating a store company market growth rate of FIG. 48;

FIG. 50 is a view showing a routine for calculating the growth rate of each store business of FIG. 47;

FIG. 51 is a web browser window for calculating the growth rate of each store business of FIG. 50;

52 is a web browser window for setting options in FIG. 50;

53 is a diagram showing a routine for calculating the competition rate of the bank competition of FIG. 47;

FIG. 54 is a web browser window for calculating a growth rate of a competition bank of FIG. 53;

FIG. 55 is a view showing a routine for calculating the magnetic growth rate of FIG. 47; FIG.

FIG. 56 is a web browser window for calculating the magnetic growth rate of FIG. 55; FIG.

FIG. 57 is a diagram showing a routine for calculating the total growth rate in FIG. 47;

58 is a web browser window for calculating the overall growth rate of FIG. 57;

59 is a view showing a routine for the store comprehensive analysis of FIG. 4;

60 is a diagram showing a routine for comprehensive rating analysis of FIG. 59;

FIG. 61 is a web browser window for comprehensive rating analysis of FIG. 60;

FIG. 62 shows a routine for network matrix analysis of FIG. 59; FIG.

63 is a web browser window for analyzing the network matrix of FIG. 62;

64 is a diagram showing a routine for map matrix analysis of FIG. 59;

65 is a web browser window for analyzing the map matrix of FIG. 64;

66 is a view showing a routine for the closed point analysis of FIG. 4;

FIG. 67 is a view showing a routine for the storefront probability statistics of FIG. 66; FIG.

68 is a web browser window for the probability of store occupancy of FIG. 67;

69 is a view showing a routine for the probability-by-competition statistics of FIG. 66;

FIG. 70 is a web browser window for probability statistics by competition degree of FIG. 69; FIG.

71 is a view showing a routine for applying the probability of competition according to FIG. 66;

72 is a web browser window for applying the probability of competition according to FIG. 71;

73 is a view showing a routine for selecting a closing point of FIG. 66;

74 is a web browser window for closing point selection of FIG. 73;

75 is a diagram showing a routine for customer probability analysis of FIG. 66;

76 is a web browser window for analyzing the probability of customer of FIG. 75;

FIG. 77 is a diagram showing a routine for customer probability analysis 2 of FIG. 66;

FIG. 78 is a web browser window for the customer probability analysis 2 of FIG. 77.

<Description of Symbols for Main Parts of Drawings>

100: user PC

200, 300, 400: Information provision affiliate

500: Marketing support company

500-1: Web Server

500-3: Database

Hereinafter, a preferred embodiment of a marketing support service method using geographic information according to the present invention will be described with reference to the accompanying drawings.

3 is a block diagram showing a marketing support service system to which the present invention is applied.

As shown in FIG. 3, marketing by inputting user's personal information into a web server 500-1 through a website of a marketing support company 500 that analyzes market characteristics by combining various statistical information with geographic information. A first information providing affiliate 200 that transmits customer information or competitor information to a user computer (PC) 100 receiving service related information and a web server 500-1 of the marketing support company 500. And a second information providing affiliate 300 which transmits lifestyle information, demographic information, customer information, competitor information, etc. to the web server 500-1 of the marketing support company 500, and the marketing support company ( A third information providing affiliate 400 for transmitting geographic information, business information or building information to a web server 500-1 of 500, and a database 500 for various information transmitted to the web server 500-1. -3) and also through the website of the web server 500-1 It consists of a marketing support company 500 for transmitting information related to marketing support to the user computer (100).

The operation of the marketing support service system configured as described above is as follows.

4 is a flowchart illustrating a marketing support service method using geographic information according to the present invention;

As shown in FIG. 4, first, a user computer 100 is used to access a web server 500-1 of a marketing support company 500 that provides a marketing support site (S101).

At this time, the web server 500-1 of the marketing support company 500 determines whether the connected user is a member or a non-member (S103).

As a result of the determination in S103, if the non-member, the web browser window of the marketing support company 500 transmits a web browser window for guiding the registration procedure to the screen of the user computer 100 (S105).

Then, the user inputs personal information such as a name, address, social security number, password, etc. to the web server 500-1 through the user computer 100 according to the membership registration procedure (S107).

Accordingly, the web server 500-1 registers the input personal information as a database and registers it as a member (S109).

If, as a result of the determination in step S103, the web server 500-1 transmits a web browser window for searching information related to marketing support to the screen of the user computer 100.

In addition, the web server 500-1 sets a sales zone of each branch through the user computer 100, analyzes the current status of the customer relations in the sales zone, the redundancy analysis between the branches, and analyzes the competition with other companies. It is determined whether the sovereign analysis is clicked (S111).

As a result of the determination of S111, when the store owner analysis is clicked, the web server 500-1 transmits a web browser window to execute the information retrieval routine for the store owner analysis to the screen of the user computer 100 (S113). ).

If, as a result of the determination of S111, the owner's right analysis is not clicked, the web server 500-1 analyzes the demographic analysis, the business competition market, the individual competition market, and the company's performance in the business area through the user computer 100; It is determined whether the market analysis clicked on by region (province, city, county, etc.) is clicked (S115).

If the market analysis is clicked as a result of the determination of S115, the web server 500-1 transmits a web browser window for executing an information search routine for market analysis to the screen of the user computer 100 (S117).

If the market analysis is not clicked as a result of the determination of S115, the web server 500-1 analyzes the distribution status of existing customers, the existing customers, and the prospective customers in the area set through the user computer 100. It is determined whether the analysis is clicked (S119).

If the customer analysis is clicked as a result of the determination of S119, the web server 500-1 transmits a web browser window for executing an information search routine for customer analysis to the screen of the user computer 100 (S121).

If the customer analysis is not clicked as a result of the determination of S119, the web server 500-1 may display lifestyle statistics of a customer in an administrative area or a region arbitrarily set by a user through the user computer 100 (car possession). Log number, income amount, clothing cost, eating out cost, cultural cost, etc.) and the commercial business analysis for analyzing demographics is determined (S123).

As a result of the determination in S123, when the business analysis is clicked, the web server 500-1 transmits a web browser window for executing the information retrieval routine for the business analysis to the screen of the user computer 100 (S125).

If, as a result of the determination in step S123, the business analysis is not clicked, the web server 500-1 is weighted based on past and present performances by market, industry, competitors, and its branches through the user computer 100. It is determined whether the growth rate analysis showing the result of granting is clicked (S127).

If the growth rate analysis is clicked as a result of the determination of S127, the web server 500-1 transmits a web browser window for executing the information search routine for the growth rate analysis to the screen of the user computer 100 (S129).

If the growth rate analysis is not clicked as a result of the determination of S127, the web server 500-1 gives a weighted score based on past and present performance and efficiency through the user computer 100 to the entire branch. It is determined whether the comprehensive analysis of the store to calculate the comprehensive grade and query the evaluation status for each point on the map is clicked (S131).

When the comprehensive analysis of the store is clicked on as a result of the determination of S131, the web server 500-1 transmits a web browser window to execute the information retrieval routine for the comprehensive analysis of the store on the screen of the user computer 100 (S133). ).

If, as a result of the determination in S131, the comprehensive store analysis is not clicked, the web server 500-1 aggregates and analyzes the customers of other branches in the store ownership of each branch through the user computer 100 to determine the branch. It is determined whether the closing point analysis is clicked to analyze the customer who is completed when closing (S135).

When the closed point analysis is clicked on as a result of the determination of S135, the web server 500-1 transmits a web browser window to execute the information retrieval routine for the closed point analysis to the screen of the user computer 100 (S137). ).

FIG. 5 is a diagram illustrating a routine for analyzing store owner's rights in FIG. 4.

As shown in FIG. 5, when the user clicks on the store owner analysis, the web server 500-1 analyzes the credit and the reception result of each store by the customer / amount of money on the screen of the user computer 100. Establishing a shopkeeper group to set up shop owners, center points, and business zones through isoline analysis, shopkeeper statistics to analyze and search market variables such as competition within the shop owners, competition, business type, customers, redundancy, and company input capacity, and by store Competitive analysis to analyze the performance of other transactions in the owner's rights, industry analysis to analyze the status of each major trading company's business, bank, company size, and total businesses in the shop owner's previous business, and Customer analysis that analyzes the inside and outside loans, inflows and foreign exchange transactions, redundancy analysis that compares the right of the store to other stores, and analyzes whether there are overlaps and areas; And mi It sends the web browser window where you can run a search routine for the storekeeper and sales area potential analysis to analyze the potential of the store by looking analysis of the current status and future corporate stores stores results of each of our customers.

6A and 6B are diagrams showing a routine for setting a shop owner's right in FIG.

As shown in FIGS. 6A and 6B, when the user clicks the setting of the store owner right, the web server 500-1 is a screen of the user computer 100, which is a screen with geographic information as shown in FIG. 7. Sends a web browser window showing the view setting, region selection, store analysis option, customer distribution chart, store analysis, store setting, center point setting, store owner view, business area setting, business area view, and excel output.

The screen view setting is made of a store owner analysis, and can be selected from the store owner and sales zone, business zone, the store owner analysis is to select the screen when setting the store owner analysis, the store owner and sales zone is a store owner right And when setting the setting of the sales zone to the screen, the business zone is to select the screen when setting the sales zone.

In addition, the area selection is made up of a screen, a day, two, tertiary administrative name and administrative name, and a map view and inquiry.

The screen is an inquiry condition on the screen currently being output.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

On the other hand, when the user clicks the shopkeeper analysis option, the web server 500-1 is a screen of the user computer 100, as shown in Figure 8, reference year month setting, analysis item and amount setting, isoline analysis Send a web browser window to select options, set up shop owner automation, set cell aggregation method, set cell statistics, cell analysis method, save and apply.

The reference year setting is to set the reference month to be analyzed, the analysis item and the amount setting is to enable the analysis of the occupancy rights by total reception or total credit, and the selection of the isometric line analysis option is to 7 to 25 can be set.

In addition, the shop owner analysis automation setting is to output the analyzed shop owner right to the map as a cell or isoline, the cell aggregation method setting is to specify the size of the cell to be analyzed from 10m to 10,000m.

The cell statistics setting cell analysis can be set to the number of customers, the amount of money, the number of customers and the amount of money. The cell analysis method divides the area by cell statistics into primary cells, secondary cells, and tertiary cells for each grade. This allows you to specify a sele color.

In addition, the storage is to allow the store manager analysis option set in the database, the application is applied only to the current screen and not stored in the database.

On the other hand, when the user clicks on the customer distribution diagram, the web server 500-1 is a screen of the user computer 100, as shown in FIG. Will output

Then, when the user clicks on the storekeeper analysis, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 10, cell or equivalence analysis of the storekeeper with respect to the neighboring area of the currently selected store. do.

In particular, the shopkeeper setting is to allow the user to directly set the shopkeeper right by using the analyzed shopkeeper, and the center shop setting is to secure the position competitiveness by setting a center point for the shopkeeper's shopkeeper right. will be.

In addition, when the user clicks the store owner view, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 11, view type setting, period setting, store analysis display, and map. Sends a web browser window indicating no movement and map view.

Here, the store owner right view is to be able to output the set store owner right by period.

And, the sales zone setting is to allow the user to set the sales zone through the customer distribution chart or store manager analysis, the sales zone view is to output the set sales zone by period, the Excel output is the set map screen And the store list can be output in Excel.

FIG. 12 is a diagram illustrating a routine for storekeeper statistics of FIG. 5.

As shown in FIG. 12, when the user clicks on the shopkeeper's statistics, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 13. Send a web browser window indicating.

The store selection is for selecting a store to be analyzed.

In addition, the analysis inquiry was to output the results of the businesses, size, competitive banks and own stores in the shop owner for the store, the analysis by industry is the number of customers by the industry in the shop owner, total loans, within the shop owner rights In addition, the analysis by size is to output the current and non-trading results by the size of the companies in the owner's right, and the competitive bank analysis shows the current status and performance of the competing banks in the owner's right. The self-analysis is to print out the current status, size, and profit of the own store.

In addition, the Excel output is to output the analyzed list to Excel.

FIG. 14 is a diagram illustrating a routine for competition analysis of FIG. 5.

As shown in FIG. 14, when the user clicks on the competitive analysis, the web server 500-1 is a screen of the user computer 100, and as shown in FIG. 15, region selection, reference year setting, and store inquiry. Sends a web browser window showing chart search, Excel output, etc.

The area selection is made up of a screen, a day, two, tertiary administrative names and administrative names, and a map view and list search.

The screen is an inquiry condition on the screen currently being output.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

In addition, the reference year setting is to be able to input the analysis reference year for the selected store, the store inquiry is displayed on the map screen of the store's right and competition banks within the store owner, the performance of the competition bank in the store owner The data can be output.

On the other hand, when the user clicks on the chart inquiry, the web server 500-1 shows the performance of each account subject among the competing banks in the store owner as a screen of the user computer 100 as shown in FIG. .

In addition, the Excel output is to be able to output the corresponding maps, charts, performance data of the competing banks in Excel.

FIG. 16 is a diagram illustrating a routine for an industry analysis of FIG. 5.

As shown in FIG. 16, when the user clicks on industry analysis, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 17. Sends a web browser window showing the company analysis, search items, analysis query, and Excel output.

The area selection is made up of a whole area, a day, two, tertiary administrative names and administrative names and a list inquiry.

The whole is to be able to inquire all the stores of the line.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The list inquiry is to be able to inquire each store by the designated screen or region.

On the other hand, the search target is to analyze the search target to be analyzed by a major corporation or all companies, the company analysis within the shop owner can be searched by industry, company size, major banks when selecting the search target as a major corporation If you select all companies, you can select and analyze only business types.

In addition, the search item is to be able to select the item to be analyzed as the total number of companies and banknotes loans, the analysis query is to enable the output of charts and listings within the store owner of the store.

And, the Excel output is to be able to output the currently analyzed chart and list in Excel.

FIG. 18 is a diagram illustrating a routine for customer analysis of FIG. 5.

As shown in FIG. 18, when the user clicks on the customer analysis, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 19, as shown in FIG. 19. Send a web browser window indicating.

The area selection is made up of a whole area, a day, two, tertiary administrative names and administrative names and a list inquiry.

The whole is to be able to inquire all the stores of the line.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The list inquiry is to be able to inquire each store by the designated screen or region.

On the other hand, the analysis inquiry is to be able to output the charts and the list of businesses in the store owner of the store, the own store is the total receipts and receipts of the inside and outside the store owner, total loans, the average balance and revenue of foreign exchange and total revenue, the number of customers It is to be analyzed and printed out, and the trajectory in store owners is to analyze and output the performance of stores in the store owner for the items of own store.

And, the Excel output is to output the current analyzed list to Excel.

20 is a diagram illustrating a routine for redundancy analysis of FIG. 5.

As shown in FIG. 20, when a user clicks on redundancy analysis, the web server 500-1 displays a screen of the user computer 100 to select a region, select a store, and execute the program as illustrated in FIG. 21. Send a web browser window indicating

The area selection is made up of a screen, a day, two, tertiary administrative names and administrative names, and a map view and list search.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

On the other hand, the store selection is to check the stores under analysis in the list and the store owner of the current store can be displayed on the map, the execution is to enable the redundancy analysis and the adjacent store redundancy analysis.

Here, the redundancy analysis is to allow the store area, overlap area, and overlap rate of the current store to be output, and the adjacent store redundancy analysis is to allow the adjacent stores of the current store to output the overlap rate with the specified store. .

FIG. 22 is a diagram illustrating a routine for analyzing the store owner and business area potential of FIG. 5;

As shown in FIG. 22, when the user clicks on the store and sales area potential analysis, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 23. Sends a web browser window showing conditions, sales selections, analysis queries and Excel output.

The area selection is made up of a screen, a day, two, tertiary administrative names and administrative names, and a map view and list search.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, the secondary administrative name is, for example, Gangnam-gu, the third administrative name is, for example, Gaepo-dong, and the administrative name is Gaepo 1-dong.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

In addition, when the user clicks on a detailed search condition, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 24, showing the total loan amount, the size of the company, the sales and the capital, etc. Send a browser window.

Here, the detailed search condition is to input the detailed search conditions of the total loan, company size, sales, capital, so that the existing customer analysis of the store that satisfies the conditions and prospective customers can be found.

On the other hand, the business selection is to be classified and searched for the area to be analyzed by the owner rights, sales zones, the analysis query outputs the shop owner rights and sales zones of the store on the map screen and the trading and untraded companies on the map In addition to printing in dots, the results of trading companies and untraded companies can be printed out as a list.

And, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 25 is a diagram illustrating a routine for market analysis of FIG. 4.

As shown in FIG. 25, when the user clicks on the market analysis, the web server 500-1 analyzes the growth potential of the other rows in the area designated as the screen of the user computer 100; Analyzing the credit status and bank performance of each trading company and regional analysis on graphs and isolines on the map, and competitive markets analyzing geographically with various graphs and isolines on the map by analyzing the performance of stores of other banks by region and by region. Sends a web browser window to execute information retrieval routines for line performance analysis, which analyzes the credit, receipt and foreign exchange transactions of own stores, and locally analyzes various graphs and isolines on the map.

FIG. 26 is a diagram illustrating a routine for potential analysis of FIG. 25.

As shown in FIG. 26, when the user clicks on the potential analysis, the web server 500-1 is a screen of the user computer 100 and sets a reference year and a region as shown in FIG. 27 or 28. Sends a web browser window showing the conditions, condition setting, analysis query, title, target bank selection, analysis option, addition, correction, contour line and report.

The reference year setting is to select the inquiry year to be analyzed.

The region selection is composed of a screen region subject to a currently output screen and a region region which is a user region in which a user directly sets an region to be analyzed.

The condition setting includes adding conditions for adding and analyzing conditions within a designated area, modifying conditions for modifying the added conditions, and deleting conditions for deleting the added conditions.

The analysis query allows the output of the banks that meet the conditions within the designated area, the title to output the legend, and the selection of the target bank to select the target banks to be analyzed.

Meanwhile, the analysis option is composed of a competitive index, a distance parameter, a number of levels, a penetration rate, and a number of potential customers. The competitive index is a comparison of competitiveness indexes between stores by selecting account subjects to be analyzed, and the distance parameter is 0.2. The number of levels can be selected up to -4.0, and the number of levels is selected from 5 to 30, and the color is output as an isometric map. The penetration rate is the probability that a user establishes a store, and the number of potential customers is the number of customers who will use the store in the future. Say.

And, the addition is to search by adding the area to be analyzed, the correction is to search by modifying the area to be analyzed, the contour line is to output the analyzed content as a contour line on the map screen, the report The results of the analysis were divided into target banks and regions, and total potential companies, potential business customers, market shares, general companies, and venture companies were analyzed to analyze their potential.

FIG. 29 is a diagram illustrating a routine for the enterprise market of FIG. 25.

As shown in FIG. 29, when the user clicks on the enterprise market, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 30. Send a web browser window that displays store output, map analysis and Excel output.

The area selection is composed of a screen, a region selection consisting of a day and a secondary administration name, a map view and a list inquiry.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

In addition, the analysis item is to be divided into banking performance and financial statistics for analysis, and the reference year setting is to select the reference year to be analyzed.

And, the store output is to output the stores of all the pedestrians in the area, the map analysis is output to the map with a dot chart, pie chart, bar chart, polygon, isometric map and the dot chart, polygon, isometric map is a single Items, pie charts, and bar charts allow you to print multiple items.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 31 is a diagram illustrating a routine for the competitive market of FIG. 25.

As shown in FIG. 31, when a user clicks on a competitive market, the web server 500-1 is a screen of a user computer 100, as shown in FIG. 32, region selection, reference year month setting, and store output. Sends a web browser window showing the map, map analysis, and excel output.

The area selection is composed of a screen, a region selection consisting of a day and a secondary administration name, a map view and a list inquiry.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

In addition, the reference year month setting is to be able to select the reference year to be analyzed.

And, the store output is to output the stores of all the pedestrians in the area, the map analysis is output to the map with a dot chart, pie chart, bar chart, polygon, isometric map and the dot chart, polygon, isometric map is a single Items, pie charts, and bar charts allow you to print multiple items.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 33 is a diagram illustrating a routine for performance analysis of FIG. 25.

As shown in FIG. 33, when the user clicks on the performance analysis, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 34. Sends a web browser window showing output, map analysis and Excel output.

The area selection is composed of a screen, a region selection consisting of a day and a secondary administration name, a map view and a list inquiry.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

The map view is to move the map to the currently set screen and area, and the inquiry is to be able to query each store to the designated screen or area.

In addition, the reference year month setting is to be able to select the reference year to be analyzed.

And, the store output is to output the stores of all the pedestrians in the area, the map analysis is output to the map with a dot chart, pie chart, bar chart, polygon, isometric map and the dot chart, polygon, isometric map is a single Items, pie charts, and bar charts allow you to print multiple items.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 35 is a diagram illustrating a routine for customer analysis of FIG. 4.

As shown in FIG. 35, when the user clicks on the customer analysis, the web server 500-1 sorts the customer distribution in the area designated by the screen of the user computer 100 by grade (best, excellent, normal, lower). The web browser window that executes the information search routine for the customer status by administrative region analyzing the customer's insurance status by administrative region is analyzed.

36 is a diagram illustrating a routine for the customer distribution diagram of FIG. 35.

As shown in FIG. 36, when the user clicks on the customer distribution diagram, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 37, such as region selection, area setting, and customer distribution diagram. Send a web browser window indicating.

The region selection consists of a screen, a region selection consisting of a day and a secondary administrative name.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

In addition, the area setting is to allow the user to directly set the area to be analyzed in the designated area, and the customer distribution map to output the customer in the area set by the user on the map by rating (best, excellent, normal, lower) I would have to.

FIG. 38 is a diagram illustrating a routine of customer status by administrative districts of FIG. 35.

As shown in FIG. 38, when the user clicks on the customer status for each administrative area, the web server 500-1 is a screen of the user computer 100, as shown in FIG. Sends a web browser window showing map analysis and Excel output.

The region selection consists of a screen, a region selection consisting of a day and a secondary administrative name.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

In addition, the list inquiry is to be able to query the current status of insurance by the administrative screen of the specified screen or area, the map analysis is output on the map of the dot chart, pie chart, bar chart, polygon, isometric map, dot chart, polygon, isoline In addition, a single item, pie chart, and bar chart can be outputted when selecting multiple items.

And, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 40 is a diagram illustrating a routine for analyzing a commercial domain of FIG. 4.

As shown in FIG. 40, when a user clicks on a commercial area analysis, the web server 500-1 displays an administrative area for analyzing population number, monthly income, and light style statistics data for each administrative area on the screen of the user computer 100. Sends a web browser window to execute information retrieval routine for star business analysis and user area business analysis that analyzes and outputs administrative name, monthly income, population, and lifestyle statistics data within a specified area or radius.

FIG. 41 is a diagram illustrating a routine for analyzing commercial rights by administrative district of FIG. 40.

As shown in FIG. 41, when a user clicks on a commercial area analysis by administrative area, the web server 500-1 is a screen of a user computer 100, as shown in FIG. Sends a web browser window showing map analysis and Excel output.

The region selection consists of a screen, a region selection consisting of a day and a secondary administrative name.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

In addition, the list inquiry is to enable to query the population number and lifestyle data of the administrative screen of the designated screen or region, and the map analysis is output to the map with a dot chart, pie chart, bar chart, polygon, isometric map, dot chart, Polygons and isolines are for single items, pie charts, and bar charts for selecting multiple items.

And, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 43 is a diagram illustrating a routine for analyzing user domain commercial rights of FIG. 40.

As shown in FIG. 43, when the user clicks on the user area commercial analysis, the web server 500-1 is a screen of the user computer 100 and selects a region as shown in FIG. 44 or 45. Sends a web browser window showing selection and business analysis.

The region selection consists of a screen, a region selection consisting of a day and a secondary administrative name.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

In addition, the area selection is the area setting to set the area to be directly analyzed in the designated area by the user, the center setting to select the center point in the center area of the area to be analyzed by the user, the radius to be analyzed from the center point selected by the user It consists of a radius input.

On the other hand, the commercial area analysis is to enable the user to analyze and output the population number and light style data for the area within the selected area or radius.

46 is a diagram illustrating a routine for the growth rate analysis of FIG. 4.

As shown in FIG. 46, when a user clicks on a growth rate analysis, the web server 500-1 performs an information search routine for calculating a natural growth rate that calculates a growth rate of corporate transaction performance on a screen of a user computer 100. Send a web browser window to launch.

FIG. 47 is a diagram illustrating a routine for calculating the natural growth rate of FIG. 46.

As shown in FIG. 47, when the user clicks on the natural growth rate calculation, the web server 500-1 analyzes and sets the quarterly growth rate of the corporate transaction performance of all stores on the screen of the user computer 100. Store market growth rate calculation, store business growth rate calculation that analyzes and sets untraded customer acquisitions by company size of all stores, and shopkeeper competition that analyzes and sets quarterly growth rate of competitive banks. Analyzing and setting the bank growth rate calculation, the self-growth growth rate analysis and setting the quarterly contribution profit growth rate of our stores, and the weighting growth rate of the company's growth rate, the store's industry growth rate, the competing bank growth rate, and the own store's growth rate of all stores. Sends a web browser window to run an information retrieval routine for comprehensive growth rate analysis.

FIG. 48 is a diagram illustrating a routine for calculating a store enterprise market growth rate in FIG. 47.

As shown in FIG. 48, when the user clicks on the calculation of the store company market growth rate, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 49. Sends a web browser window showing registration, registration, and Excel output.

The search condition includes a primary administrative name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administrative name, and a total of own stores when a user inputs an arbitrary%. It consists of a company selection classification option that is multiplied by a credit and a list inquiry that inquires the performance of trading companies by the semiannual of the selected store.

In addition, the option is to set the weights for the electric equipment and electricity, and the weight registration is to register in the database for the weight values of the electric equipment and electricity set.

On the other hand, the execution is to calculate the growth rate by the set weight value or option value, and the registration is to register the growth rate by the set weight value or option value in the database.

And, the Excel output is to be able to output the current calculated growth rate list in Excel.

50 is a diagram illustrating a routine for calculating the growth rate of each store business of FIG. 47.

As shown in FIG. 50, when the user clicks on the calculation of the growth rate of the store business, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 51. Sends a web browser window showing registration and Excel output.

The search conditions include setting a primary administrative name for selecting a region of a store to be analyzed, selecting a store name for selecting a store to be analyzed among stores within a designated primary administrative name, and retrieving the performance of a trading company by the semi-annual of the selected store. It consists of a list inquiry.

When the user clicks on the option, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 52. The electric growth rate setting, the electric growth rate setting, the minimum growth rate setting, Sends a web browser window showing the maximum growth rate setting, option query, option execution and option registration.

Here, the option is to enter the% value in the total electrical growth rate, electrical growth rate, minimum growth rate and maximum growth rate by company size.

In addition, the option inquiry to query the past / expected growth rate of the large, medium and small enterprises and the non-trading attraction rate / travel customer application ratio, the option execution to calculate the growth rate of large, medium and small enterprises based on the growth rate value, The option registration is to register the growth rate of large, medium and small enterprises by the growth rate value in the database.

On the other hand, the above execution is to calculate the untraded attracted amount, the owned customer increase amount, the total increase amount, the store owner's current performance, the total increase rate based on the value of the growth rate of the option, and the registration is the untraded attracted amount and the owned customer increase amount by the execution. In other words, the total increase rate, the store's current performance and the total growth rate are registered in the database.

And, the Excel output is to output the current analyzed list to Excel.

FIG. 53 is a diagram illustrating a routine for calculating a store competitive bank growth rate of FIG. 47.

As shown in FIG. 53, when the user clicks on the calculation of the store competition bank growth rate, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 54. Sends a web browser window showing registration, registration, and Excel output.

The search condition includes a primary administrative name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administrative name, and a total of competition banks in the store owners of the selected store. It consists of a list inquiry to search the loan performance.

Then, the option is to set the weight for the previous year and the previous year, the weight registration is to register in the database for the weight value of the previous previous year and the previous year.

The execution is such that the growth rate can be calculated by the set weight value or the option value, and the registration is such that the growth rate by the set weight value or the option value is registered in the database.

In addition, the Excel output is to be able to output a list of the currently calculated growth rate in Excel.

FIG. 55 is a diagram illustrating a routine for calculating the magnetic growth rate of FIG. 47.

As shown in FIG. 55, when the user clicks on the calculation of the zero point growth rate, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 56. And a web browser window indicating an Excel output or the like.

The search conditions include a primary administrative name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administrative name, and a list query for searching the total revenue performance of the selected store. Is done.

In addition, the option is to set the weight for the electric and electrical, the weight registration is to register in the database for the weight value of the set electric and electrical.

The execution is such that the growth rate can be calculated by the set weight value or the option value, and the registration is such that the growth rate by the set weight value or the option value is registered in the database.

In addition, the Excel output is to be able to output a list of the currently calculated growth rate in Excel.

FIG. 57 is a diagram showing a routine for calculating the overall growth rate in FIG. 47.

As shown in FIG. 57, when the user clicks on the calculation of the overall growth rate, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 58, as shown in FIG. And a web browser window indicating an Excel output or the like.

The search conditions include a primary administrative name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administrative name, and a list query for searching the total revenue performance of the selected store. Is done.

In addition, the option sets a weight value to each of the corporate market growth rate, store business growth rate, competitive bank growth rate, and autonomous growth rate, and the weight value is 100%.

In addition, the weight registration allows each weight value to be registered in the database.

The execution is to enable the growth rate to be calculated based on the set weight value or the option value, and the registration is to calculate the growth rate for each part by the weight value value of the option and register it in the database.

In addition, the Excel output is to be able to output the currently analyzed list in Excel.

FIG. 59 is a diagram illustrating a routine for the store comprehensive analysis of FIG. 4.

As shown in FIG. 59, when the user clicks on the comprehensive analysis of the store, the web server 500-1 is a screen of the user computer 100, and the non-redundancy, total reception, total loan, foreign currency, and profit and loss of each store are displayed. A comprehensive network analysis that analyzes the contribution of each store by multiplying the efficiency by weight and the network matrix analysis option of all stores, and a network matrix that sets the store's rating to core stores, general stores, best, excellent, low, and very low Send a web browser window to execute the information retrieval routine for analysis and map matrix analysis that displays location characteristics and store results of all stores on a map.

FIG. 60 is a diagram illustrating a routine for comprehensive rating analysis of FIG. 59.

As shown in FIG. 60, when the user clicks on the comprehensive rating analysis, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 61. And a web browser window indicating an Excel output or the like.

The search condition includes a primary administrative name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administrative name, and a realistic and ranking score of the selected store. The list is divided into market share, asset management efficiency, and non-redundancy.

In addition, the option sets each weight value to profitability, growth potential, market share, asset management efficiency, and non-redundancy, and the weight value is 100%.

In addition, the weight registration allows each weight value to be registered in the database.

The execution is to calculate the realistic and ranking score system of each store by the weight value of the option, and the registration is to register the realistic and ranking score of each store by the weight value of the option in the database.

And, the Excel output is to output the current analyzed list to Excel.

FIG. 62 is a diagram illustrating a routine for network matrix analysis of FIG. 59.

As shown in FIG. 62, when the user clicks the network matrix analysis, the web server 500-1 is a screen of the user computer 100 as shown in FIG. And a web browser window indicating an Excel output or the like.

The search condition is to set the primary administrative name for selecting the area of the store to be analyzed, the store name selection for selecting the store to be analyzed among all the stores within the designated primary administrative name, and all the stores into core stores and general stores by grade It consists of a list inquiry to search.

In addition, the option is to distinguish between the core store and the general store, it is possible to assign a score to each account subject.

In addition, the weight registration allows each weight value to be registered in the database.

According to the above option, all stores are divided into core and general stores by option, and each account subject (profitability, growth potential, market share, asset management efficiency, non-redundancy) and grade (best, excellent, general, low, extremely low). Divided by) to calculate the overall grade.

And, the Excel output is to output the current analyzed list to Excel.

FIG. 64 is a diagram illustrating a routine for map matrix analysis of FIG. 59.

As shown in FIG. 64, when the user clicks on the map matrix analysis, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 65, as shown in FIG. Send a web browser window indicating such a condition.

The region selection consists of a screen, a region selection consisting of a day and a secondary administrative name.

The screen is used to make the screen currently displayed as an inquiry condition.

The primary administrative name is, for example, Seoul, and the secondary administrative name is, for example, Gangnam-gu.

In addition, the list inquiry is to output the stores of all walks in the area by grade.

In the store view, when the icon of the corresponding store is selected on the map screen, the grade and status of the store are output for each account subject.

And, the Excel output is to be able to output the currently analyzed map screen and list in Excel.

FIG. 66 is a diagram illustrating a routine for closing point analysis of FIG. 4.

As shown in FIG. 66, when the user clicks the closing point analysis, the web server 500-1 analyzes the sales performance simulation information according to the increase in the number of people around the closing point on the screen of the user computer 100. Probability statistics for each shop owner showing statistics of store owner probability, number of competing shops and store customer status information at closed stores, application of probabilities of competition to apply probabilities according to competition by assigning additional values arbitrarily, and user-defined overall Detailed customer status information (expected number of customers, store customer, closing point) for each closed point according to the selection of closing point to select closed target stores according to the score criteria and the extraction option (by region and number of customers). Customer probability analysis that analyzes customer performance, number of acceptable customers, customer arithmetic, customer churn, etc., and shows the status of individual customers (number of customers, total receipts, total loans, etc.) for each closed point. Sends a web browser window to run an information retrieval routine for guest probability analysis2.

FIG. 67 is a diagram illustrating a routine for store-room probability statistics of FIG. 66.

As shown in FIG. 67, when the user clicks on the store probability probability, the web server 500-1 is a screen of the user computer 100, as shown in FIG. 68, showing sales performance, options and Excel output. Send a web browser window indicating such a condition.

The sales performance inquiry is to be able to query the sales performance simulation data according to the increase in the number of people.

And, the option is to change the query condition criteria, the execution is to be able to save the changed option.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 69 is a view illustrating a routine for the probability-of-competition statistics of FIG. 66.

As shown in FIG. 69, when the user clicks on the store probability probability, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 70. Send a web browser window indicating such a condition.

The customer status inquiry is to enable a comparative analysis between the data of the number of nearby competing stores and the number of customers of the store.

The option is to select a customer probability analysis criterion, and the implementation is to reflect the selected criterion.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 71 is a diagram illustrating a routine for applying the probability of competition according to FIG. 66.

As shown in FIG. 71, when the user clicks the application of the probability of competition, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 72. Sends a web browser window showing Excel output, etc.

The store probability inquiry is to query the division, the corresponding group, the number of competing stores for each store.

In addition, the option is to change the addition value% for the selected item of the current value, group application, high value, the execution is to apply the changed option content.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 73 is a diagram illustrating a routine for selecting a closing point of FIG. 66.

As shown in FIG. 73, when the user clicks the closing point selection, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 74. Send a web browser window showing the output, etc.

The closed store inquiry is intended to show a list of the closed store.

In addition, the option is to change the total score that is the basis of the target store selection, the execution is to be able to apply the changed option content.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

75 is a diagram illustrating a routine for analyzing the customer probability of FIG. 66.

As shown in FIG. 75, when the user clicks on the probability analysis of the customer, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 76. Sends a web browser window indicating the etc.

The customer status inquiry is to show detailed customer status information (expected number of customers, number of store customers, number of customers closed, number of acceptable customers, number of customers achievable, customer departure performance, etc.) for each closed point.

In addition, the option is to change the inquiry reference option of the regional headquarters, the minimum number of customers per region / completion, the execution is to apply the changed option content.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

FIG. 77 is a diagram showing a routine for customer probability analysis 2 of FIG. 66;

As shown in FIG. 77, when the user clicks on the probability analysis 2, the web server 500-1 is a screen of the user computer 100 as shown in FIG. 78. Sends a web browser window showing Excel output, etc.

The personal customer status inquiry is to show detailed personal customer status information (number of customers, total reception, total loan, etc.) for each closing point.

The option is to change the shortest store distance criterion at the closing point, and the execution is to apply the changed option contents.

In addition, the Excel output is to be able to output the currently analyzed screen and list in Excel.

As described above, the present invention, unlike the existing method, by providing the commercial analysis information in a multimedia form in which the customer and the surrounding geographic information is well harmonized, it is easy to understand and can maximize the effect of the system introduction.

In addition, the present invention allows a user to designate a radius circle or a polygon directly in a general commercial analysis, so that the user can freely select an analysis target area and express the analyzed result in an electronic map, a numerical value, and a chart form. It is convenient and easy to understand.

In particular, the present invention can shorten the time of marketing analysis, reduce the report development personnel by providing a variety of analysis data, the user can easily access a multi-dimensional analysis, establish efficient marketing and aggressive aggressive marketing strategy can do.

In addition, it is possible to prevent the departure of existing customers, and by discovering strategic prospects, there is an effect that can help to discover new branches.

Claims (38)

In a service method of a marketing support service system comprising a user computer (PC), a plurality of information providing affiliates, and a marketing support company having a web server and a database, Determining whether the user is a member or a nonmember; If the determination result is a normal member, transmitting a web browser window for searching for information related to marketing support to a screen of a user computer; Setting a sales zone of each branch through the user computer and determining whether a shopkeeper analysis for analyzing customer status in the sales zone, redundancy analysis between each branch, and competition with another company has been clicked; Transmitting a web browser window to execute an information retrieval routine for the occupancy analysis, if the analysis of the occupancy rights is clicked on as a result of the determination; If the result of the determination is that the shop owner analysis has not been clicked, determining whether the market analysis for analyzing the demographics in the business area and the business competition market, the individual competition market, and the company's performance by region is clicked through a user computer; If the market analysis is clicked as a result of the determination, transmitting a web browser window for executing an information search routine for market analysis to a screen of a user computer; If the market analysis is not clicked as a result of the determination, determining whether the customer analysis for analyzing the distribution status, existing customers, and prospective customers of each grade in the area set through the user computer is clicked; If the customer analysis is clicked as a result of the determination, transmitting a web browser window for executing an information search routine for customer analysis to a screen of a user computer; If the customer analysis is not clicked as a result of the determination, determining whether a commercial analysis for analyzing lifestyle statistics and demographics for the customers in the administrative area or the area arbitrarily set by the user is clicked through a user computer; If it is determined that the business analysis is clicked, transmitting a web browser window to execute an information retrieval routine for business analysis on a screen of a user computer; If it is determined that the business analysis is not clicked, determining whether a growth rate analysis showing a weighting result based on past and present performances of each market, business type, competitors, and branches by the user computer is clicked; If the growth rate analysis is clicked on the determination result, transmitting a web browser window for executing an information search routine for growth rate analysis to a screen of a user computer; If the growth rate analysis is not clicked as a result of the above judgment, a weighted score is given based on past and present performances and efficiencies through the user's computer to calculate a comprehensive grade for the entire branch, and look up the evaluation status for each branch on the map. Determining whether the comprehensive analysis is clicked; If the comprehensive analysis of the store is clicked on, as a result of the determination, transmitting a web browser window for executing the information retrieval routine for the comprehensive analysis of the store to the screen of the user computer; If the comprehensive analysis of the store is not clicked as a result of the determination, the closed point analysis that analyzes the customer that is completed when the branch is closed by counting and analyzing the customers of the other branches in the branch owner's right through the user computer Determining whether it has been clicked; If the closed point analysis is clicked as a result of the determination, the marketing support service using the geographic information comprising the step of transmitting a web browser window for executing the information search routine for the closed point analysis to the screen of the user computer Way. The method of claim 1, The routine for analyzing the ownership rights, Clicking a shop group setting for setting a shop owner right, a center point, and a business area by performing cell analysis and isoline analysis of credit and reception results of each shop by customer / amount; Clicking storekeeper statistics to analyze and query market variables, such as competition within / outside the store owner, industry, customer, redundancy, and company input capability; Clicking a competitive analysis to analyze the transaction performance of the other row in the store owner before each execution; Clicking on an industry analysis to analyze the current status of each of the major trading companies, banks, companies, and businesses of all business owners in the store's right before the establishment; Clicking customer analysis to analyze the in-house and out-of-store credit, receiving and foreign exchange transaction results of the store before the execution; Clicking redundancy analysis to compare the shop owner's right to the store before the execution with other stores and analyze whether there is overlap or area; Geographic information comprising the step of clicking on the store and sales zone potential analysis to analyze the store's potential by analyzing the store status of the trading and untraded companies in the shop owner and sales zone and the performance of each customer Marketing support service method using. The method of claim 2, The routine for setting the shop owner right, A screen view setting step of setting at least one of a shopkeeper analysis or a shopkeeper right and a business zone or a business zone; A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; Set the base year and month to set the reference year to be analyzed, select analysis items and amount to analyze occupancy rights by total receipt or total credit, select isoline analysis option to set 7 to 25 isometric players to analyze, and Automated shop owner analysis setting to print shop owner's right as a cell or isoline on the map, cell aggregation method setting the size of cell to be analyzed from 10m to 10000m, and cell statistics to set number of customers, amount, number of customers and amount A cell analysis method for dividing the area by cell statistics into a primary cell, a secondary cell, and a tertiary cell by class, and assigning each cell to a color; and storing a set store analysis option in a database; A shopkeeper analysis option step of setting an application that applies only to the current screen and is not stored in the database; A customer distribution diagram step of outputting a customer distribution diagram of the currently selected store as a dot on a screen; A shopkeeper analysis step of performing cell analysis or equivalence analysis of the shopkeeper on the neighborhood of the currently selected shop; A shopkeeper setting step of setting a shopkeeper's right by using a mouse by the analyzed shopkeeper; A center point setting step of securing a position competitiveness by setting a center point for a shop owner's right of a designated store; A store owner view step of setting a view type, setting a period, displaying and analyzing the store owner, not moving the map, and setting the map view; A business area setting step of setting a business area by a user through a customer distribution chart or a store manager analysis; The business zone view includes a business zone view setting step of outputting a set business zone by period; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the set map screen and the store list to Excel. The method of claim 2, The routine for the shopkeeper statistics, A store selection step of selecting a store to be analyzed; Industry-specific analysis to output the number of customers by banking industry, total bank loans, and internal / external performances in the owner's rights, and analysis by size to output current and non-trade performance by company size in the owner's rights, An analysis inquiry step of setting a competitive bank analysis for outputting the current status and performance of the competing banks; Marketing support service method using geographic information comprising an Excel output step of outputting the analyzed list to Excel. The method of claim 2, The routine for competitive analysis is A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; A reference year setting step of inputting an analysis reference year month for the selected store; A store inquiry step of outputting the store owner's right and the competing banks in the store owner's right on the map screen and outputting the performance data of the competitor's banks in the store owner's right; A chart inquiry step for charting the performance of each account subject among the competing banks in the shop owner; Marketing support service method using geographic information, characterized in that the map and chart, including the Excel output step of outputting the performance data of the competition banks in Excel. The method of claim 2, The routine for the industry analysis, It is possible to search all the stores in the line, enter a place name, name, tertiary administrative name and administrative name, map view that allows the map to move to the currently set screen and area, and each store to the designated screen or area. A region selection step of setting an inquiry for inquiry; A search target step of analyzing a search target to be analyzed by a major corporation or a company; If you select a search target as a major corporation, you can search by industry, company size, major banks, and if you select all companies to analyze only the type of business in the store owner; A search item step of selecting an item to be analyzed as the number of companies and the total loan amount of banknotes; An analysis inquiry step of outputting a chart and a list of businesses in the shop owner of the corresponding store; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed chart and list in Excel. The method of claim 2, The routine for customer analysis is It is possible to search all the stores in the line, enter a place name, name, tertiary administrative name and administrative name, map view that allows the map to move to the currently set screen and area, and each store to the designated screen or area. A region selection step of setting an inquiry for inquiry; An analysis query step of outputting a chart and a list of trajectories in the own store and store owner; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed list to Excel. The method of claim 2, The routine for redundancy analysis, A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; A store selection step of double checking the stores under analysis in a list and outputting the store owner's right of the current store to a map; Marketing support service method using geographic information comprising the step of performing redundancy analysis and redundancy analysis of adjacent stores. The method of claim 2, The routine for the store and sales area potential analysis, A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; A detailed search condition step of inputting detailed search conditions of total loan amount, company size, sales amount, and capital stock to analyze existing customers and prospective customers of stores satisfying the relevant conditions; A business selection step of classifying and searching the area to be analyzed by the owner right and the business area; An analysis inquiry step of outputting the shop owner's right and the sales area of the store on the map screen, and outputting the transaction and the untraded company as a dot on the map, and outputting the performance of the trading company and the untraded company as a list; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 1, The routine for the market analysis, A potential analysis step of analyzing the growth potential of the other rows in the designated area; A corporate market stage of analyzing the credit status and bank performance of each trading company and performing regional analysis with various graphs and isolines on a map; Competitive market stage to analyze the performance of the stores of other banks by region and regionally analyze them with various graphs and isolines on the map; Marketing support service method using geographic information comprising the step of analyzing the performance of the local credits, receiving, foreign exchange transactions by local graphs and contours on the map. The method of claim 10, The routine for the potential analysis, A reference year setting step of selecting an inquiry year to be analyzed; A region selection step of setting a screen region subject to a currently output screen and a region setting which is a user region for setting a region to be analyzed directly by a user; A condition setting step of adding conditions for adding and analyzing conditions within a designated area, modifying conditions for modifying the added conditions, and deleting conditions for deleting the added conditions; An analysis query step of outputting banks meeting the conditions within the designated area; A title setting step of outputting a legend; Selecting a target bank to select target banks to be analyzed; Competitive index to compare the competitive index between stores by selecting account subjects to analyze, distance parameter to select from 0.2 to 4.0, number of levels to output to isometric map by selecting colors from 5 to 30, and user to establish a store An analysis option setting step comprising a penetration rate indicating a probability and a number of potential customers to use the store in the future; An additional step of searching by adding a region to be analyzed; A correction step of correcting and searching for an area to be analyzed; A contour line step of outputting the analyzed content as isolines on a map screen; Marketing support service using geographic information, which includes a report step of dividing the analyzed results into target banks and regions and dividing the total number of companies, potential business customers, market shares, general companies, and venture companies. Way. The method of claim 10, The routine for the enterprise market, A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; An analysis item step of classifying and analyzing business performance and financial statistics for each bank; A reference year month setting step of selecting a reference year month to be analyzed; A store output step of outputting a store of all runners in the region; A map analysis step of outputting a dot chart, a pie chart, a bar chart, a polygon, and an isometric map on a map, and outputting a dot chart, a polygon, an iso diagram on a single item, a pie chart, a bar chart, and multiple items; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 10, Routines for the competitive market, A screen for inquiring the currently displayed screen, inputting a place name, name, tertiary administrative name and administrative name, a map view for moving the map to the currently set screen and area, and each store to a designated screen or area. A region selection step of setting an inquiry for inquiry; A reference year month setting step of selecting a reference year month to be analyzed; A store output step of outputting a store of all runners in the region; A map analysis step of outputting a dot chart, a pie chart, a bar chart, a polygon, and an isometric map on a map, and outputting a dot chart, a polygon, an iso diagram on a single item, a pie chart, a bar chart, and multiple items; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 10, The routine for the performance analysis, Inquiry screen to display the currently displayed screen, input of place name, name, tertiary administrative name and administrative name, map view to move map to the currently set screen and area, and each store to designated screen or area A region selection step of setting an inquiry; A reference year month setting step of selecting a reference year month to be analyzed; A store output step of outputting a store of all runners in the region; A map analysis step of outputting a dot chart, a pie chart, a bar chart, a polygon, and an isometric map on a map, and outputting a dot chart, a polygon, an iso diagram on a single item, a pie chart, a bar chart, and multiple items; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 1, The routine for customer analysis is A customer distribution map step of classifying and analyzing the customer distribution map in the designated area by grade (best, excellent, normal, lower); Marketing support service method using geographic information comprising the customer status step by administrative region to analyze the insurance status of customers by administrative district. The method of claim 15, The routine for the customer distribution map is A region selection step of setting a screen for searching a currently output screen, inputting a place name, and setting a secondary administration name; A region setting step of directly setting a region to be analyzed within a designated region; A marketing support service method using geographic information comprising a customer distribution map step of outputting the customer in the area set by the user on a map by rating (best, excellent, normal, lower). The method of claim 15, Routines for the customer status by the administrative district, A region selection step of setting a screen for searching a currently output screen, inputting a place name, and setting a secondary administration name; A list inquiry step for inquiring insurance status by administrative screen of the designated screen or region; A map analysis step of outputting a dot chart, a pie chart, a bar chart, a polygon, and an isometric map on a map, and outputting a dot chart, a polygon, an iso diagram on a single item, a pie chart, a bar chart, and multiple items; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 1, The routine for commercial business analysis, A commercial rights analysis step for each administrative area that analyzes population number, monthly income, and light style statistics data for each administrative area; A marketing support service method using geographic information, comprising the step of analyzing a user domain business area to analyze and output administrative name, monthly income, population, lifestyle statistics data within a designated area or radius. The method of claim 18, The routine for the analysis of commercial rights by administrative district, A region selection step of setting a screen for searching a currently output screen, inputting a place name, and setting a secondary administration name; A list inquiry step of searching the population number and lifestyle data of each administrative unit of the designated screen or region; A map analysis step of outputting a dot chart, a pie chart, a bar chart, a polygon, and an isometric map on a map, and outputting a dot chart, a polygon, an iso diagram on a single item, a pie chart, a bar chart, and multiple items; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 18, The routine for the user domain commercial analysis, A region selection step of setting a screen for searching a currently output screen, inputting a place name, and setting a secondary administration name; The user can set the area to analyze in the designated area by user, the center setting to select the center point in the center area of the area to be analyzed by the user, and the radius input to input the radius to analyze from the selected center point. A region selection step; And a commercial area analysis step of analyzing and outputting a population number and light style data of a region selected by a user or an area within a radius. The method of claim 1, The routine for the growth rate analysis, Marketing support service method using geographic information comprising the step of calculating the natural growth rate to calculate the growth rate of corporate transaction performance. The method of claim 21, The routine for calculating the self-growth growth rate is A store market growth rate calculation step of analyzing and setting quarterly growth rate of corporate transaction results of all stores; A store business growth rate calculation step of analyzing and setting corporate transaction performance and unaccompanied customer acquisition amount by company size of all stores; Competitive bank growth rate calculation step of analyzing and setting quarterly growth rate of competitive banks; A self-growth growth rate calculation step of analyzing and setting the quarterly contribution profit growth rate of the store; A marketing support service method using geographic information, comprising a comprehensive growth rate calculation step of analyzing and setting the growth rate of all the stores, the growth rate of the store, the competitive banks, and the weighted growth rate of the autonomous store. The method of claim 22, The routine for calculating the store market growth rate of the store owner, Set the primary administrative name to select the area of the store to be analyzed, select the store name to select the store to be analyzed among the stores within the designated primary administrative name, and register the product by multiplying the total credit by the autonomous store at the time of registration by the user. A search condition step consisting of a list selection for inquiring the performance of the trading company for each half year of the selected company option and the selected store; An optional step of setting weights for electric power and electric power; A weight registration step of registering in the database with respect to the set electric weights and weight values of electricity; Calculating a growth rate based on a set weight value or an option value; A registration step of registering a growth rate based on a set weight value or an option value in a database; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the current calculated growth rate list to Excel. The method of claim 22, The routine for calculating the growth rate of the store industry, It consists of a primary administration name for selecting the area of the store to be analyzed, a store name for selecting a store to analyze among the stores within the designated primary administration name, and a list search for the performance of the trading company by the semi-annual of the selected store. A search condition step; An option step of inputting a percentage value in all electric growth rate, electric growth rate, minimum growth rate and maximum growth rate by company size; An option inquiry step of inquiring the past / expected growth rate of the large, medium and small enterprises and the untraded attracting rate / voluntary customer application rate; An option execution step of calculating growth rates of large, medium and small enterprises based on the growth rate value; An option registration step of registering growth rates of large, medium and small enterprises in the database by the growth rate value; An execution step of calculating unsatisfactory transaction amount, own shop customer increase amount, total increase amount, store owner's current performance, and total growth rate based on the option's growth rate value; A registration step of registering in the database the amount of non-transactions attracted by the execution, the increase in own store customers, the total increase in total amount, the store owner's current performance, and the total growth rate; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed list to Excel. The method of claim 22, The routine for calculating the store's competitive bank growth rate is Set up the primary administration name to select the region of the store to be analyzed, select the store name to select the store to be analyzed among the stores within the designated primary administration name, and search the total loan performance by year for the competing banks in the store owner of the selected store. A search condition step consisting of a list search; An optional step of setting weights for the previous year and the previous year; A weight registration step of registering in the database about the set weight values of the previous year and the previous year; Calculating a growth rate based on a set weight value or an option value; A registration step of registering a growth rate based on a set weight value or an option value in a database; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the current calculated growth rate list to Excel. The method of claim 22, The routine for calculating the dot growth rate is A search condition step consisting of a primary administration name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administration name, and a list search for searching the total revenue performance of the selected store. Wow; An optional step of setting weights for electric power and electric power; A weight registration step of registering in the database with respect to the set electric weights and weight values of electricity; Calculating a growth rate based on a set weight value or an option value; A registration step of registering a growth rate based on a set weight value or an option value in a database; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the current calculated growth rate list to Excel. The method of claim 22, The routine for calculating the overall growth rate is, A search condition step consisting of a primary administration name setting for selecting a region of a store to be analyzed, a store name selection for selecting a store to be analyzed among stores within a designated primary administration name, and a list search for searching the total revenue performance of the selected store. Wow; An option step of setting weight values for the corporate market growth rate, the store business growth rate, the competitive bank growth rate, and the autonomous growth rate, respectively, and having a weight value of 100%; A weight registration step of registering each weight value in a database; Calculating a growth rate based on a set weight value or an option value; A registration step of calculating a growth rate for each part based on the weight value of the option and registering it in a database; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed list to Excel. The method of claim 1, The routine for the comprehensive store analysis, Comprehensive grading analysis step of analyzing the contribution of each store by multiplying the weight of the non-redundancy, total reception, total loan, foreign exchange, profit and loss, efficiency of each store; A network matrix analysis step of setting a store's grade as a core store, general store, best, excellent, low or ultra low by the network matrix analysis option of all stores; A marketing support service method using geographic information comprising a map matrix analysis step of outputting location characteristics and store results of all stores on a map. The method of claim 28, The routine for the comprehensive rating analysis, Set up the primary administration name to select the area of the store to be analyzed, select the store name to select the store to be analyzed among the stores within the designated primary administration, and select the actual and ranking scores of the selected store, including profitability, growth potential, market share, A search condition step consisting of a catalog search for querying the ranking score system by dividing asset management efficiency and redundancy; An option step of setting respective weight values for profitability, growth potential, market share, asset management efficiency, and non-redundancy, and making the weight values 100%; A weight registration step of registering each weight value in a database; An execution step of calculating a realistic and ranking score system of each store based on a weight value of an option; A registration step of registering the realistic and ranking scores of each store by the weight value of the option in a database; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed list to Excel. The method of claim 28, The routine for the network matrix analysis, Set up the primary administration name to select the area of the store to be analyzed, select the store name to select the store to be analyzed among the stores within the designated primary administration name, and classify all stores into core stores and general stores, and search the list by grade A search condition step consisting of; An optional step of classifying the core store and the general store and assigning a score to each account subject; A weight registration step of registering each weight value in a database; According to the option, all stores are divided into core and general stores, and divided into each account subject (profitability, growth potential, market share, asset management efficiency, non-redundancy) and grade (best, excellent, general, low, extremely low). Calculating a comprehensive grade; Marketing support service method using geographic information, characterized in that it comprises an Excel output step of outputting the currently analyzed list to Excel. The method of claim 28, The routine for analyzing the map matrix, A region selection step of setting a screen for inquiring the currently output screen, inputting a place name, a secondary administrative name, and an inquiry for inquiring each store by a designated screen or region; Selecting a store icon on a map screen, the store view step of outputting a store's grade and current state by account subject; Marketing support service method using geographic information characterized in that it comprises an Excel output step of outputting the currently analyzed map screen and list to Excel. The method of claim 1, The routine for the closed point analysis analysis, Shopkeeper probability statistics step of analyzing sales performance simulation information according to the increase in the number of people close to the closing point; A probability statistics step by competition showing the number of competing stores and store customer status information of the closed stores; A competition probability application step of applying a probability randomly by a user by arbitrarily adding an addition value; A closing point selection step of selecting a closing target store according to a comprehensive score standard determined by a user; Detailed customer status information for each closed point (expected number of customers, number of store customers, number of closed customers, acceptable number of customers, number of customer achievements, customer churn) according to user-selected item option extraction criteria (by region and number of customers) Customer probability analysis step of analyzing the results; Marketing support service method using geographic information comprising the step of analyzing the customer probability showing the individual customer status (number of customers, total reception, total loan, etc.) for each closing point. The method of claim 32, The routine for storekeeper probability statistics is A sales performance inquiry step of querying sales performance simulation data according to the increase in the number of employees; An optional step of changing the search condition criteria; An execution step of storing the changed option; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 32, The routine for the probability-by-competition statistics is A customer status inquiry step of comparing and analyzing the data of the number of neighboring competitive stores and the number of customers of the corresponding store; An optional step of selecting a customer probability analysis criterion; An execution step reflecting the selected criteria; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 32, The routine for applying the probability of competition is A store probability inquiry step of inquiring each of the stores, the group, and the number of competition stores; An optional step of changing the addition value% value for a selected item among a current value, a group application, and a high value; Executing the changed option contents; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 32, The routine for closing point selection is A step for querying the closed store for displaying a list of the closed store; An optional step of changing a comprehensive score which is a standard for selecting a target store; Executing the changed option contents; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 32, The routine for customer probability analysis is A customer status inquiry step showing detailed customer status information for each closed point (expected number of customers, number of store customers, number of closed point customers, acceptable customers, number of customer achievements, customer churn); An option step of changing the inquiry standard option of the regional headquarters and the minimum number of customers for each region / acquisition; Executing the changed option contents; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel. The method of claim 32, The routine for the customer probability analysis 2, A personal customer status inquiry step showing detailed personal customer status information (number of customers, total reception, total loan, etc.) for each closing point; An option step of changing the shortest store distance criterion at the closing point; Executing the changed option contents; Marketing support service method using geographic information comprising the Excel output step of outputting the currently analyzed screen and list in Excel.