JP2007094592A - Marketing data collection and analysis system, server system, and marketing data collection and analysis program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a marketing data collection and analysis technology by which consumer's concurrent selling tendency can be exactly grasped in quantity from analysis of POS data and can be reflected in sales promotion. <P>SOLUTION: The marketing data collection and analysis system consists of a client 400 and a server 100 connected to this client through a network 500. The server 100 is provided with; an affiliate customer database 1005 which holds attributes of each affiliate customer including at least age and sex, a user database 1007 holding information relevant to a user who has applied for service provision, and a POS database 1009 which saves POS data for each retail store. The system searches the affiliate customer database and the POS database responding to a given concurrent selling data analysis instruction, extracts relevant data, and distributes the extracted sampled data to a relevant user client 400. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a marketing data collection / analysis system, a server system, and a marketing data collection / analysis program for causing a computer to perform marketing data collection / analysis.

  Conventionally, a marketing data collection and analysis system as described in JP-A-2002-24295 (Patent Document 1) is known. This conventional system collects product purchase information for each customer, and enables a sales base to easily and quickly obtain and use desired analysis results and tabulation results based on the information. It is.

  In general, POS data is generally registered in a server, and data mining is used to analyze consumption trends at each store and purchase fluctuations that depend on weather, seasons, and events, and reflect them in future product purchases. ing.

However, the conventional marketing data collection / analysis technique has a problem in that fine data mining cannot be performed because of the generality of collecting and analyzing POS data in large quantities. For example, customers tend to buy canned peanuts together with canned beer at liquor stores and supermarkets on hot summer days. It is convenient for them, and it is possible to further promote simultaneous purchases, leading to an increase in sales. However, it is not easy to derive such a proposal from analysis of POS data. This is because weather information and event information are usually not stored together with POS data.
JP 2002-24295 A

  The present invention has been made in view of the above-described conventional technical problems. Marketing data that can quantitatively accurately grasp the tendency of consumers to sell side by side from the analysis of POS data and can be reflected in sales promotion. The purpose is to provide collection and analysis technology.

  The invention of claim 1 is a marketing data collection and analysis system comprising a user client and a server connected to the user client via a network, wherein the server holds attributes including at least the age and sex of each member customer. A member customer database, a user database that holds information related to a member who has applied for service provision, a POS database that stores POS data for each retail store, and the member customer database and POS in response to a co-sale data analysis command Data analysis means for searching a database, and extracting a combination of the simultaneously purchased products and calendar information for the simultaneously purchased products in which a strong correlation is seen between the calendar information and the simultaneously purchased products, and the data analyzing means extracted Extract data to the corresponding user A extracting data distribution means for distributing the client, the user client is characterized in that it comprises an extraction data display means for receiving and displaying the extracted data to be distributed in the server.

  The invention of claim 2 is a server system connected to a user client through a network, a member customer database holding attributes including at least the age and gender of each member customer, and information related to a member who applied for service provision User database holding POS, POS database storing POS data for each retail store, and searching for the member customer database and POS database in response to a given co-sale data analysis command, and strongly correlating calendar information with products purchased at the same time Data analysis means for extracting the combination of the simultaneously purchased products and calendar information in association with each other, and extracted data distribution means for distributing the extracted data extracted by the data analysis means to the corresponding user client. It is characterized by having It is intended.

  According to a third aspect of the present invention, in the server system according to the second aspect, the data analysis means determines whether the number of sales in the period is daily, weekly, seasonal, or yearly in response to the concurrent data analysis command. Two or more types of products that show a prominent numerical value for the average number of sales during the period, and a combination of products purchased by the same member customer are extracted, and the extracted data distribution means extracts the data analysis means About the combination of 2 or more types of goods, it distributes with the calendar information of the said period.

  According to a fourth aspect of the present invention, in the server system according to the second aspect, the data analysis means determines whether the number of sales in the period is daily, weekly, seasonal or yearly in response to the concurrent data analysis command. Two or more types of products that show a prominent number of sales for the average number of sales during the period, and extract the combination of products purchased together by the same member customer, and also analyze the age group of the member customers purchased at the same time, The extracted data distribution unit distributes the age group of the member customer who purchased at the same time, the calendar information of the day, and the combination information of the simultaneously purchased product for the combination of two or more types of products extracted by the data analysis unit. It is characterized by this.

  According to a fifth aspect of the present invention, in the server system according to the fourth aspect, the data analysis means analyzes gender in addition to the age group of the member customers purchased at the same time, and the extracted data distribution means is the data analysis means. As for the combination of two or more types of products extracted, the age group and sex of the member customers who purchased at the same time, the calendar information of the day and the information on the combination of the products purchased at the same time are delivered together.

  According to a sixth aspect of the present invention, in the server system according to the third to fifth aspects, the calendar information is event information or weather information for the corresponding period together with a date for the corresponding period.

  The invention of claim 7 is a marketing data collection / analysis program installed in a server system connected to a user client via a network, the step of registering attributes including at least the age and sex of each member customer in the member customer database; Registering information related to the member who applied for service provision in the user database, registering POS data for each retail store in the POS database, and the member customer database and the POS database in response to the concurrent data analysis command given The data analysis step for extracting the combination of the simultaneously purchased products and the calendar information for the simultaneously purchased products having a strong correlation between the calendar information and the simultaneously purchased products, and the data analyzing step. It is intended to execute the extracted data distribution step of distributing the extracted data to the appropriate user client computers.

  According to an eighth aspect of the present invention, in the marketing data collection and analysis program according to the seventh aspect, in the data analysis step, the period of the period in a daily unit, a weekly unit, a seasonal unit, or a year unit with respect to the concurrent data analysis instruction. Extracting a combination of two or more types of products whose sales numbers are prominent with respect to the average sales volume during the period and purchased together by the same member customer, and in the extracted data distribution step, the data analysis step The combination of two or more types of products extracted in (1) is delivered together with calendar information for the period.

  According to a ninth aspect of the present invention, in the marketing data collection / analysis program according to the seventh aspect, in the data analysis step, the period of the period in daily unit, weekly unit, seasonal unit, or year unit with respect to the concurrent data analysis instruction Extract two or more types of products whose sales numbers are prominent relative to the average sales volume during the period, and extract the combination of products purchased together by the same member customer. Analyzing, and in the extracted data distribution step, for the combination of two or more types of products extracted in the data analysis step, the age group of the member customers who purchased at the same time, the calendar information of the day and the information on the combination of the simultaneously purchased products Are distributed together.

  According to a tenth aspect of the present invention, in the marketing data collection / analysis program according to the ninth aspect, in the data analysis step, a gender is analyzed in addition to the age group of the simultaneously purchased member customers, and in the extracted data distribution step, About the combination of two or more types of products extracted in the data analysis step, the age group and sex of the member customers who purchased at the same time, the calendar information of the day and the information on the combination of the products purchased at the same time are distributed together Is.

  The invention of claim 11 is the marketing data collection / analysis program according to claims 8 to 10, wherein the calendar information is event information or weather information on a corresponding day.

  According to the present invention, a member customer database in which the server holds attributes including at least the age and sex of each member customer, a user database that holds information related to a member who applied for service provision, and POS data for each retail store The POS database for storing data is managed, the member customer database and the POS database are searched with respect to the co-sale data analysis command given by the data analysis means, the corresponding data is extracted, and the extracted data distribution means extracts the extracted data. Can be distributed to the corresponding user client, and the user client can receive the extracted data distributed from the server, display and output the extracted data indicating the co-sale status, and present it to the registered member. For example, a group of products with a strong tendency to sell together For it is possible to help promote by proposing that the exhibition to sell space on the same selling space or close distance from each other.

  According to the present invention, the age and gender of a member customer who purchased a certain product is also analyzed along with an event on the calendar. For example, a product for young women and another product for this event are displayed side by side. Can be suggested, and at other events, it can be suggested to display another product next to another product for older men, for example, taking into account weather and events Above, it can be useful for sales promotion by suggesting that a group of products having a strong tendency to sell together be displayed in the same sales space or in a sales space close to each other.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 shows a system configuration of a marketing data collection / analysis system according to an embodiment of the present invention. This marketing data collection and analysis system includes an ASP server system 100 that provides a marketing data collection and analysis service, a service contract with the ASP server system 100, a head office client 200 that deposits POS data, and collects POS data. 200, a client client 400 (hereinafter, identified as 400A, 400B, 400C,..., If necessary), which receives a distribution of marketing data analysis results. The network 500 is used for data transmission between these clients and between the server and the client. The network 500 may be common or separated. In addition, a network using a dedicated line, a network using the Internet, a network using a telephone line, and the like are selected regardless of the request for data concealment and the data transmission speed. However, for convenience of explanation, the head office client 200, the store client 300, and the ASP server system 100 are connected by a high-speed and large-capacity optical network 510, and the ASP server system 100 and the user client 400 are connected to the Internet 520. It will be described as being connected. Each computer is provided with routers 161, 162, 210, 310, 410 for connection to the network 500.

  The ASP server system 100 is a system constructed by a company that provides a marketing data collection and analysis service, and includes a WEB server 110 for network connection, web management, application provision, a POS data management server 120 for managing POS data, A user management server 130 for managing service users, a data collection server 140 for marketing data collection analysis, and a data analysis server 150 for performing data analysis, which is a feature of the present embodiment, are included. In addition, these server groups have large-capacity data storage devices and manage a user management database, a user database, and a POS database.

  The ASP server system 100 has the functional configuration shown in FIG. 2, and is a communication control unit 1001, a member / customer data collection processing unit 1002, a POS data collection processing unit 1003, user data for connecting to an external network 500 for client communication. The collection processing unit 1004, the member customer database 1005, the POS database 1006, the user database 1007, and the data registered and managed by the member customer data, POS data, and user data collected by the data collection processing units 1002 to 1004, and the data An analysis condition input unit 1008 for inputting an analysis condition, a purchase data analysis processing unit 1009 for searching the corresponding databases 1005 to 1007 according to the input analysis condition, and extracting data matching the search condition, and this purchase data analysis processing unit 1 The analytical results of 09 to edit the report format, and includes an analysis data storage unit 1011 for storing the analysis data reporting unit 1010 and purchase data analysis processing unit 1009, and outputs.

  Next, marketing data collection / analysis processing by the marketing data collection / analysis system having the above configuration will be described. The customer information input by the member customer data collection processing unit 1002 based on the items described in the customer card registration document, for example, information on the gender, age group, residential area, hobby, and occupation degree, together with the ID for each customer, is stored in the member customer database 1005. sign up. User information collected by the user data collection processing unit 1004 to receive service provision, user information registered as a user company, store, etc., for example, ID for each user, location, range of service to be provided, network connection necessary Other information is registered in the user database 1007.

  The POS data collection processing unit 1003 receives transmission of POS data for each store from the head office client 200 registered as a user, and registers it in the POS database 1006 for each company. Registration of the POS data in the POS database 1006 is performed, for example, on a daily basis and accumulated. And about the customer who purchased using the customer card, the customer ID is also contained.

  In the marketing data collection / analysis system according to the present embodiment, the ASP server system 100 is accessed through the user client 410 from the office as the user, the analysis condition input unit 1008 accepts the marketing data analysis request, and the purchase data analysis processing unit 1009. In response to the qualification, the stored POS data is searched to perform data analysis, and the report creation processing unit 1010 provides a service for returning the extraction result to the user client 410. For example, as shown in the screen example of FIG. 3, the service includes “Analysis by age”, “Analysis by side sale”, and “Brand switch analysis”. In “Analysis by age”, “Purchase status by age” , "Purchase transition by age", "Single item ranking by age", and "Price line analysis by age" can be performed. In the “Both-sale analysis”, a “Both-sale analysis” and a “Both-sale transition analysis” are possible. “Brand switch analysis” allows “inflow analysis” and “outflow analysis”.

  The analysis by age is as follows. When there is a request for "purchase status by age", for a specified period, for example, a specified period of one month or one year, the age specified from the purchaser's member customer ID for each product handled by the user and each period Another cumulative sales quantity is obtained, and the result is output as a table (steps S1 to S3). FIG. 7 shows an output example of purchase status by age. FIG. 8 shows an output example of purchase ratios by age and purchaser composition ratio by age.

  Similarly, if there is a request for “Purchase Trends by Age,” the number of purchases for a specified product at a certain period of the specified age, for example, every week, every month, is accumulated to correspond to the specified period. And output as a graph (steps S4 to S6). FIG. 9 shows an output example of purchase trends by age. Also, if there is an analysis request for “single item ranking by age,” the products with the largest number of purchases by age are extracted during the specified period of one week, one month, or one year, and output as a table contrasted with age groups. (Steps S7 to S9). FIG. 10 shows an output example of the single item ranking by age.

  Furthermore, if there is a request for “price line analysis by age group”, it is analyzed what price line a male, female, or male and female of all ages forms (steps S10 to S12). In this case, since the price line analysis button is selected, the type is specified, the period is specified, the age and gender are specified, the price range is specified, and the search start button is operated as shown in FIG. The result can be obtained. FIG. 6 is a graph output from the purchase results of women in Sakai Supermarket in November. This analysis can be used effectively as a resource for retail buyers to create sales floors for certain varieties. Usually, there is a theory that customers can easily purchase 3 to 5 price lines in the same variety. In the case of FIG. 6, it is easy to predict that sales will not increase when the lineup of boots in the 11,000 yen range, which is not supported by all ages, is enhanced. Of course, a wholesale / manufacturer who supplies products to this retailer proposes a product with a suggested retail price of 15,000 yen to this retailer by looking at the price line analysis graph of FIG. You can plan to avoid that.

  When there is a request for “both side analysis”, as shown in the flowchart of FIG. 11, the purchase data analysis processing unit 1009 performs a purchase data analysis processing unit 1009 for each specified period, for example, every day, every week. A group of products sold better than usual is extracted every month (step S21). The meaning of “selling well” is to focus on products that are sold at a certain rate, for example, 25% or 50% or more of the sales volume in the same period. A combination group of products simultaneously purchased by the same member customer is extracted from the group of products sold well (step S22). For example, beer and peanuts are purchased at the same time by member customers with the same ID, or long leek, beef loin and konjac are purchased at the same time.

  Next, for each combination group of products that are purchased at the same time, analysis by age is performed based on the purchaser group ID. Many combinations of beer and peanuts are sold in the 40s and 50s, and many combinations of long onion, beef loin and konjac are received from the 50s to over 70s (step S23). Subsequently, the calendar information is referenced to extract events, calendars, and weather during a period when the sales of the simultaneously sold product group was large. For example, on the day when professional baseball of XX vs. XXX was held at Sapporo Dome Stadium, it was the day when the highest temperature was recorded in Sapporo, especially on certain days when there were many returnees And the like, and the calendar information, the purchaser group, and the co-sold product group are combined (step S24).

  Then, the report creation processing unit 1010 creates a report from the data related to the co-sale extracted by the purchase data analysis processing unit 1009 and transmits the report to the requesting user client 400 (step S25). In this report, for example, “August xx, on the date of xxx, the combination of beer and peanuts sold in the 40s and 50s. The sales volume is xxx, "It was x times of the season." "On August yy day, on the day of yyyy, many combinations of long onion, beef loin and konjac were sold to the 50's and 70's and older. The quantity is yyy, which is y times the normal period. "Is generated and transmitted to the requesting user client 400.

  In addition, if there is a request for “Annual Sale Trend Analysis”, the past sales results for a certain period are extracted and reported as a trend for each period. For example, the combined sales results of beer and its peanuts are aggregated daily, weekly or monthly from June 1 to September 30, and are reported in graphs or tables (steps S26 to S28). ).

  In the above embodiment, only the age group has been described. However, if the sex that can be extracted from the member customer ID is also specified as attribute information together with the age group, a girl or boy in their 10s, a woman or man in their 20s, 30 By using gender with age as the key to search, such as women or men in their ages, it is possible to perform more detailed analysis by age and side-by-side analysis.

  In addition, “brand switch analysis” enables inflow analysis and outflow analysis of how consumers behave when a product is newly introduced into the market. Both retailers and manufacturers are worried about the sales trend of new products of their own and competitors. For example, there are usually about 5 to 20 types of products (a JAN code is assigned to each product) that is classified and managed as a variety “natto” in a supermarket daily food section. In this analysis menu, it is possible to analyze the purchasing behavior of consumers when a coffee maker introduces a new product “Odorless Natto” to the market. FIG. 12 shows an inflow analysis / outflow analysis method when a cocoon maker introduced natto that does not smell of a new product to the market on October 1st. Find out how many people bought "Natless natto" during period A. Here, it is assumed that there are 100 people. Next, it is investigated what those 100 people bought in the cultivar “natto” in period B. Similarly, the 100 people in the period C are also examined what they bought in the variety “Natto”. In the inflow and outflow analysis in this system, how many of the 100 people will return to the familiar natto during the period C, or (ii) what other natto products will flow to ( iii) Analyzing whether it will continue to buy “odorless natto”, outputting it in an easy-to-understand manner and presenting it. As a result, from the viewpoint of manufacturers and wholesalers who use this service, it is a normal phenomenon that a certain level of sales results appear immediately after the introduction of a new product. Is “trial purchase = trial”, and it is possible to obtain a judgment material as to whether the customer immediately leaves (is outflowed) or “true brand switch”. For example, if 100 people continue to buy “Natless natto” during period C and beyond, it can be verified that “the brand has been switched”. If you no longer purchase “odorless natto”, you can determine that you just bought a new product.

  This inflow analysis and outflow analysis are based on the flowchart of FIG. After selecting the “inflow analysis” button on the screen of FIG. 3 (step S41), a single item and a period are designated to start a search (step S42), and the result is transmitted (steps S43 and S44). Based on this result, the user can specify the period of B for the extracted consumer group of consumers and start the search again. It is possible to analyze whether or not a new product has been purchased (steps S45 and S46). The user can perform brand switch analysis by performing the above-described analysis based on this data (step S47).

  In the screen of FIG. 3, the “flow analysis” in the “brand switch analysis” is the reverse analysis of the “flow analysis” described above, and the member who purchased the product when a new product was introduced at a certain time B Analyzes how much the consumer, the customer, did not purchase the product in the next time period C, and what other products were purchased. In this case, as shown in the flowchart of FIG. 13, the “flow analysis” button in the brand switch analysis is selected (step S48), and the search is started by designating the purchase time as a reference for a certain product, for example, the period B. Is operated (step S42). Thereafter, according to the same procedure as the inflow analysis, how long a consumer who has purchased a product at a certain time B does not purchase the product at another time, for example, period C, It is possible to analyze what product has come to be purchased (steps S43 to S47). The processing flow of this outflow analysis is almost the same as the processing flow of input analysis, but the designated period is different.

  In this way, in the marketing data collection and analysis system of the present embodiment, the server holds a member customer database that holds attributes including at least the age and sex of each member customer, and information related to the user who applied for service provision. Manage the user database and the POS database that stores the POS data for each retail store, search the member customer database and the POS database for the concurrent data analysis command given by the data analysis means, extract the corresponding data, The extracted data distribution means distributes the extracted data to the corresponding user client, and the user client receives the extracted data distributed from the server, displays and outputs the extracted data indicating the concurrent sales status, and presents it to the user. Yes, from POS data, customers tend to sell together Analysis and can be extracted, for example, can be useful for sales promotion in to suggest that the strong commodity group of Heibai trend is exhibited in selling space in the same selling space or close distance from each other.

  In addition, according to the marketing data collection and analysis system of the present embodiment, the age and gender of purchased member customers are also analyzed along with the events on the calendar. For example, this event is different from products for young women. You can suggest that products be displayed side-by-side, or at other events you can suggest that another product be displayed side-by-side with another product for older men. Considering the event, it is possible to use it for sales promotion by proposing to display a product group with a strong tendency to sell together in the same sales space or a sales space close to each other.

  In the above embodiment, the configuration of the hardware system has been described as an example. However, the marketing data collection and analysis program that enables the operation of the present invention is incorporated in a computer of an appropriate scale, and executed by executing the program. Since the system can be constructed, the present invention is not limited to a hardware system, and a marketing data collection and analysis program incorporated in the system is also included in the technical scope of the present invention.

The block diagram which shows the system configuration | structure of the marketing data collection analysis system of one embodiment of this invention. The block diagram which shows the function structure of the ASP server system in the said embodiment. Explanatory drawing which shows the menu screen of the analysis request classified by age displayed on a user client in the said embodiment. In the above embodiment, the first half of the flowchart of the age-specific analysis processing executed by the ASP server system. The latter half part of the flowchart of the analysis processing classified by age which an ASP server system performs in the said embodiment. The graph of the price line analysis result by the said embodiment. Explanatory drawing of the output example of the result of the purchase situation analysis according to the age by the said embodiment. Explanatory drawing of the other output example of the result of the purchase condition analysis classified by age by the said embodiment. Explanatory drawing of the example of an output of the result of the purchase transition analysis classified by age by the said embodiment. Explanatory drawing of the output example of the result of the single article ranking analysis according to the age by the said embodiment. In the said embodiment, the flowchart of the co-sale analysis process which an ASP server system performs. Explanatory drawing of the brand switch analysis performed by the said embodiment. The flowchart of the brand switch analysis process which an ASP server system performs in the said embodiment.

Explanation of symbols

100 ASP server 110 WEB server 120 POS server 130 Member server 140 Data collection server 140
150 Data Analysis Server 161, 162 Router 200 Head Office Client 210 Router 300 Store Server 310 Router 400 Member Server 410 Router 1001 Communication Control Unit 1002 Member Customer Data Collection Processing Unit 1003 POS Data Collection Processing Unit 1004 User Data Collection Processing Unit 1005 Member Customer Database 1006 POS database 1007 User database 1008 Analysis condition input unit 1009 Purchase data analysis processing unit 1010 Report creation processing unit 1011 Analysis data storage unit

Claims (11)

A marketing data collection and analysis system comprising a user client and a server connected to this via a network,
The server includes a member customer database that holds attributes including at least age and sex of each member customer, a user database that holds information related to a user who has applied for service provision, and a POS that stores POS data for each retail store. Search the member customer database and the POS database for the database and the co-sale data analysis command to be given, and for the simultaneously purchased products having a strong correlation between the calendar information and the simultaneously purchased products, the combination of the simultaneously purchased products and the calendar information And a data analysis means for extracting the data and the extracted data distribution means for delivering the extracted data extracted by the data analysis means to the corresponding user client,
The marketing system for collecting and analyzing marketing data, wherein the user client comprises an extracted data display means for receiving and displaying the extracted data distributed by the server. A server system connected to a user client via a network,
A member customer database holding attributes including at least the age and gender of each member customer;
A user database that holds information related to the user who applied for the service,
A POS database that stores POS data for each retail store;
The member customer database and the POS database are searched for a co-sale data analysis command, and the combination of the simultaneously purchased products and the calendar information are associated with the simultaneously purchased products having a strong correlation between the calendar information and the simultaneously purchased products. Data analysis means to extract
A server system comprising: extracted data distribution means for distributing extracted data extracted by the data analysis means to a corresponding user client. The data analysis means has two types of numerical values in which the number of sales in the period in a daily unit, a week unit, a season unit, or a year unit is prominent with respect to the average unit sales in the period in response to the concurrent data analysis command. Extract the combinations of the products that the same member customers purchased together,
The server system according to claim 2, wherein the extracted data distribution unit distributes a combination of two or more types of products extracted by the data analysis unit together with calendar information of the period. The data analysis means has two types of numerical values in which the number of sales in the period in a daily unit, a week unit, a season unit, or a year unit is prominent with respect to the average unit sales in the period in response to the concurrent data analysis command. In addition to extracting the combination of products that the same member customer purchased together, analyze the age group of the member customers who purchased the same product,
The extracted data distribution unit distributes the age group of the member customer who purchased at the same time, the calendar information of the day, and the combination information of the simultaneously purchased product for the combination of two or more types of products extracted by the data analysis unit. The server system according to claim 2. The data analysis means analyzes the sex in addition to the age group of the member customers who purchased at the same time,
The extracted data distribution means includes the age group and gender of the member customers who purchased at the same time, the calendar information of the day, and the information on the combination of the simultaneously purchased goods for the combination of two or more types of products extracted by the data analysis means. The server system according to claim 4, wherein the server system is distributed.   The server system according to claim 3, wherein the calendar information is event information or weather information of a corresponding period together with a date of the corresponding period. A marketing data collection and analysis program installed in a server system connected to a user client via a network,
Registering attributes including at least the age and gender of each member customer in the member customer database;
Registering in the user database information related to the user who applied for the service,
Registering POS data for each retail store in the POS database;
The member customer database and the POS database are searched for a co-sale data analysis command, and the combination of the simultaneously purchased products and the calendar information are associated with the simultaneously purchased products having a strong correlation between the calendar information and the simultaneously purchased products. Data analysis step to extract
A marketing data collection / analysis program for causing a computer to execute an extraction data distribution step of distributing extraction data extracted in the data analysis step to a corresponding user client. In the data analysis step, the sales data for the period in the daily sales unit, the weekly unit, the seasonal unit, or the year unit are shown in the data analysis step, and the two types of numerical values that show a prominent value relative to the average sales unit for the period are shown. Extract the combinations of the products that the same member customers purchased together,
8. The marketing data collection and analysis program according to claim 7, wherein, in the extracted data distribution step, the combination of two or more types of products extracted in the data analysis step is distributed together with calendar information for the period. In the data analysis step, the sales data for the period in the daily sales unit, the weekly unit, the seasonal unit, or the year unit are shown in the data analysis step, and the two types of numerical values that show a prominent value relative to the average sales unit for the period are shown. In addition to extracting the combination of products that the same member customer purchased together, analyze the age group of the member customers who purchased the same product,
In the extracted data distribution step, for the combination of two or more types of products extracted in the data analysis step, the age group of the member customer who purchased at the same time, the calendar information of the day and the information on the combination of the simultaneously purchased products are distributed together The marketing data collection and analysis program according to claim 7, wherein: In the data analysis step, in addition to the age group of the member customers purchased at the same time, gender is also analyzed,
In the extracted data distribution step, for the combination of two or more types of products extracted in the data analysis step, the age group and sex of the member customer who purchased at the same time, the calendar information of the day and the information on the combination of the simultaneously purchased products 10. The marketing data collection / analysis program according to claim 9, wherein the marketing data collection / analysis program is distributed together. The marketing data collection / analysis program according to claim 8, wherein the calendar information is event information or weather information on a corresponding day.