JP2015036919A - Evaluation support system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To generate information for performing an evaluation of the effect of a site by performing an analysis with a purchase behavior of a user from visiting the site to a purchase of a product(s) as an analysis viewpoint.SOLUTION: An evaluation support system includes: a web page information storage part 24 for storing web page information generated by associating an analysis viewpoint with a web page categorized into the analysis viewpoint and a weight indicating a degree of influence given to a purchase behavior of a user by the web page categorized into the analysis viewpoint when the purchase behavior of the user in an EC site 10 is taken as the analysis viewpoint; a stay information transmission part 13 for generating stay information including a stay time on each web page of the user for each analysis viewpoint based on a stay record on each web page of the user; and an evaluation information generation part 22 for generating evaluation information serving as an index of evaluation of a configuration of the EC site 10 presented to the user based on the web page information and the stay information.

Description

  The present invention relates to an evaluation support system and a program.

  In an EC (e-Commerce) site, in order to evaluate the configuration of the site, conventionally, purchase results by customers are analyzed using various methods (for example, Patent Documents 1 to 3).

Japanese Patent Laid-Open No. 2001-175761 JP 2001-034852 A JP 2012-150563 A

  An object of the present invention is to generate information for evaluating the effect of a site by performing an analysis from the viewpoint of analysis of purchase behavior from a user visiting a site to purchasing a product. To do.

  The evaluation support system according to the present invention includes a purchase behavior item from when a user visits a site until purchase of a product, identification information for identifying a web page included in the site, and an influence degree on the purchase behavior. Storage means for associating and storing weight information to be shown; acquisition means for acquiring a user's stay time in each web page; and configuration evaluation of the website based on the weight information and stay time of each web page Generating means for generating information.

  In addition, the generation unit obtains index data for evaluating the configuration of the website for each purchase action item.

  Moreover, the said production | generation means produces | generates the structure evaluation information based on the average stay time of the said purchase action item stay time.

  In addition, the generation unit counts the number of visits to each web page for each purchase behavior item, and generates configuration evaluation information based on the total number of visits.

  The program according to the present invention includes a purchase behavior item from when a user visits a site to purchase of a product, identification information for identifying a web page included in the site, and a weight indicating the degree of influence on the purchase behavior. A computer capable of accessing storage means for associating and storing information, acquisition means for acquiring a user's stay time in each web page, weight information of each web page and the stay time of the website based on the stay time It is for functioning as a generation means for generating configuration evaluation information.

  According to the first aspect of the present invention, information for evaluating the effect of the site is obtained by performing an analysis based on the purchase behavior from the time when the user visits the site until the purchase of the product. Can be generated.

  According to the second aspect of the present invention, the site can be evaluated for each analysis viewpoint.

  According to the invention described in claim 3, the site can be evaluated from the viewpoint of staying time.

  According to the invention described in claim 4, the site can be evaluated from the viewpoint of the number of visits.

  According to the invention described in claim 5, information for evaluating the effect of the site is obtained by performing analysis based on the purchase behavior from the time when the user visits the site until the purchase of the product. Can be generated.

1 is an overall configuration and a block configuration diagram showing an embodiment of an evaluation support system according to the present invention. It is a hardware block diagram of the computer which forms the evaluation assistance apparatus in this Embodiment. It is a figure which shows an example of a data structure of the web page information memorize | stored in the web page information storage part in this Embodiment. It is a figure which shows an example of a data structure of the user information memorize | stored in the user information storage part in this Embodiment. It is a figure which shows an example of the data structure of the stay information memorize | stored in the stay information storage part in this Embodiment. It is a figure which shows an example of a screen display when the evaluation information produced | generated by the evaluation information production | generation part in this Embodiment is displayed on a screen. It is a figure which shows an example of a screen display when the other evaluation information produced | generated by the evaluation information production | generation part in this Embodiment is displayed on a screen. It is a figure which shows an example of a screen display when the evaluation information produced | generated by the evaluation information production | generation part in this Embodiment pays attention to one goods, and is displayed on a screen. It is a figure which shows an example of a screen display when the other evaluation information produced | generated by the evaluation information production | generation part in this Embodiment pays attention to one goods, and is displayed on a screen.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is an overall configuration and a block configuration diagram showing an embodiment of an evaluation support system according to the present invention. FIG. 1 shows an evaluator that evaluates the configuration of a user EC site 10 on the basis of an EC (e-Commerce) site 10 where a user visits and purchases a product and the staying status of each user at the EC site 10. 1 shows a configuration in which an evaluation support apparatus 20 that provides information useful for the user and a personal computer (PC) 4 used by a user visiting the EC site 10 are connected to a network 2.

  By the way, the purchasing behavior process is a model that represents all experiences or psychology from the time a user knows, selects, uses, and destroys a product in time series / stepwise. It is characterized in that the configuration of the EC site 10 is evaluated by analyzing the merchandise purchasing process up to the action of ordering merchandise, instead of the purchase results by. For example, the service provider evaluates the configuration of the EC site 10 with respect to whether or not the recommendation can be appropriately made for the EC site 10 owned by the customer. In the present embodiment, each web page in the EC site 10 is analyzed based on each purchase behavior such as interest, trial, consideration of purchase, and completion of an order included in the product purchase process. Whether to correspond to a viewpoint is defined in advance, and the configuration of the EC site 10 is evaluated by analyzing the staying status of each web page.

  “Recommendation” refers to a service that analyzes user preferences on an EC site or the like and provides information that seems to be suitable for each user. Also called “Recommendation”. If the content of the recommendation is appropriate, the possibility that the user who visits the EC site 10 purchases the product, that is, moves to ordering the product is relatively high, so the recommendation is evaluated to be effective. The On the other hand, if the user does not move to ordering goods, it is considered that there is some cause in the content of the recommendation, and the effect of the recommendation is evaluated low.

  FIG. 2 is a hardware configuration diagram of a computer forming the evaluation support apparatus 20 in the present embodiment. The server computer forming the evaluation support apparatus 20 in the present embodiment can be realized by a general-purpose hardware configuration that has existed in the past. That is, the computer is provided as a CPU 31, a ROM 32, a RAM 33, an HDD controller 35 to which a hard disk drive (HDD) 34 is connected, a mouse 36 and a keyboard 37 provided as input means, and a display device as shown in FIG. An input / output controller 39 to which each display 38 is connected and a network controller 40 provided as communication means are connected to an internal bus 41. Since the EC site 10 is also realized by the same computer, it may be illustrated as in FIG.

  Returning to FIG. 1, the EC site 10 includes an EC function processing unit 11, a user operation collection unit 12, and a stay information transmission unit 13. Although the EC site 10 may be equipped with other functions, components not used in the description of the present embodiment are omitted from the drawing. The EC function processing unit 11 is a configuration that forms the core of the EC site 10, and realizes an electronic commerce function that displays a web page related to the sale of products on the PC 10 and that is used by the user for product purchases. The user operation collection unit 12 collects operation contents of a user who has visited the EC site 10 such as a web page selection operation, user registration, and data input operation for product purchase. The stay information transmitting unit 13 generates stay information, which will be described later, based on the operations collected by the user operation collecting unit 12 and transmits the stay information to the evaluation support apparatus 20.

  The constituent elements 11 to 13 in the EC site 10 are realized by a cooperative operation of a computer that forms the EC site 10 and a program that operates on a CPU mounted on the computer.

  The evaluation support apparatus 20 includes a stay information reception unit 21, an evaluation information generation unit 22, a user interface (UI) unit 23, a web page information storage unit 24 provided as a storage unit, a user information storage unit 25, and a stay information storage unit 26. have. When the stay information receiving unit 21 acquires the stay information transmitted from the EC site 10, the stay information receiving unit 21 stores the acquired stay information by writing it in the stay information storage unit 26. The evaluation information generation unit 22 is provided as an acquisition unit and a generation unit, and reads web page information from the web page information storage unit 24, user information from the user information storage unit 25, and stay information from the stay information storage unit 26, respectively. The configuration evaluation information that is an index for evaluating the configuration of the EC site 10 is generated based on the acquired information. The user interface unit 23 is provided as a display control unit that controls the display of the configuration evaluation information (hereinafter simply referred to as “evaluation information”) generated by the evaluation information generation unit 22. In the present embodiment, the input / output controller 39 is linked to display evaluation information on the display 38 of the evaluation support apparatus 20. Further, when displaying the evaluation information, the user interface unit 23 receives an instruction operation by the evaluator using the mouse 36 or the keyboard 37 as to what kind of information is to be displayed in what form.

  FIG. 3 is a diagram illustrating an example of a data configuration of the web page information stored in the web page information storage unit 24 in the present embodiment. The web page information is preset and registered in the web page information storage unit 24 by an evaluator or the like. The web page information is composed of a set of analysis viewpoints, weights, and web pages. In the present embodiment, the purchasing behavior process is formed by the purchasing behaviors from interest (weak), interest (strong), trial, and order completion, as shown in FIG. Is the “analysis perspective”. In the present embodiment, since inquiries (questions), inquiries (claims) and returns after ordering are also user actions related to purchase behavior, they are included in part of purchase behavior, and these are also “analysis viewpoints”. It is said.

  In the “weight”, weight information indicating the degree of influence of the web page classified into the analysis viewpoint on the purchase behavior of the user is set. The degree of influence on the purchase behavior includes the importance level until the product order is reached, the contribution level when the product order is reached, and the like. For example, since the advertisement page that serves as the entrance to the EC site 10 is positioned as a web page that gives the user interest (weakness), it is considered to be a relatively unimportant web page for initiating purchase behavior of order completion. Conceivable. Therefore, the weight is relatively small as 1. If the user is interested in the products handled on the EC site 10, they will continue to browse by displaying other web pages, but there are some interests (strong), trials, purchase considerations (specs), etc. As the purchase behavior advances by moving the web page of FIG. 3 and the depth of entry into the EC site 10 increases, the degree of influence on the purchase behavior of the user increases according to the depth, so the setting example illustrated in FIG. The weight increases. On the other hand, inquiries (questions), inquiries (claims), and returns are negative actions after the user purchases a product. Therefore, there is no influence on the purchase behavior of the user, but rather an action that cancels the purchase behavior, and thus a negative value is set for the weight.

  In the “web page”, page identification information for identifying the web page classified in the analysis viewpoint is set. In the present embodiment, contents (text) that introduce the purpose and type of each web page are shown so that the contents of the web page can be easily recognized.

  The evaluator sets weights for each analysis viewpoint from the above viewpoints, and allocates web pages included in the EC site. In the present embodiment, an example in which different weights are set according to the purchase behavior process is shown, but equivalent weights may be set for different analysis viewpoints. In addition, a plurality of web pages may be allocated to one analysis viewpoint, such as a demo introduction page and a demo version download page allocated to an interest (strong). Further, FIG. 3 does not include a corresponding example, but it is not always necessary to allocate a web page for an analysis viewpoint.

  FIG. 4 is a diagram illustrating an example of a data configuration of user information stored in the user information storage unit 25 according to the present embodiment. In the user information, attribute information of the user input from the e-Commerce user registration information input page assigned to the analysis viewpoint “user registration in progress” is set. In FIG. 4, for each user, a user ID given as information for identifying the user is set and registered in association with the age, sex, and occupation of the user. Of course, you may make it register other information, such as an address and contact information of an e-mail address.

  FIG. 5 is a diagram illustrating an example of a data configuration of stay information stored in the stay information storage unit 26 according to the present embodiment. The stay information is written and stored in the stay information storage unit 26 by the stay information receiving unit 21 based on the stay information transmitted from the EC site 10. In the stay information, each item information is set according to a series of operations from when the user visits the EC site 10 until the user leaves. In “visit No.”, identification information for identifying a series of operations from when the user visits the EC site 10 until the user leaves is set. In “User ID”, a user ID assigned to the visiting user is set. As described above, the user ID is given only after the user's personal information is input from the user registration information input page of e-Commerce. Therefore, in the case of a visit to the EC site 10 by a user who has entered personal information from this input page and has already been given a user ID, or proceed to this input page and register a new user as “User ID” The user ID is set when the user ID is given to the user.

  A user visits the EC site 10 and moves away from one of the web pages regardless of whether or not the product is finally purchased while moving each web page in the site. The date and time when the user visited the EC site 10 is set in “visit date and time”, and the date and time when the user left the EC site 10 is set as “removal date and time”. In the present embodiment, it is assumed that the web page in the EC site 10 is moved according to the purchase behavior process. Further, in the present embodiment, the configuration of the EC site 10 is evaluated for each analysis viewpoint. Accordingly, the staying time (staying time for each analysis viewpoint) staying on the web page allocated to each analysis viewpoint is set for each analysis viewpoint. In addition, in the analysis viewpoint to which a plurality of web pages are allocated, a time obtained by adding up the staying time on each web page is set. Note that the time difference between the departure date and time and the visit date is the same as the total stay time of each web page.

  In addition, the data structure of the stay information mentioned above is an example, and it is not necessary to limit to this. For example, in the evaluation information generation process to be described later, data called the number of page views is used. Therefore, the number of page views integrated for each analysis viewpoint may be recorded. Also, instead of obtaining the stay time, record the date and time of visiting and leaving the web page, and subtract the visit date and time from the move time when necessary to calculate the stay time of each web page. Also good.

  Each component 21-23 in the evaluation support apparatus 20 is implement | achieved by cooperation operation | movement of the computer which forms the evaluation support apparatus 20, and the program which operate | moves by CPU31 mounted in the computer. The storage units 34 to 36 are realized by the HDD 34 mounted on the evaluation support apparatus 20. Alternatively, the RAM 33 or an external storage means may be used via a network.

  Further, the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or DVD-ROM. The program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU of the computer sequentially executing the program.

  Next, the operation in this embodiment will be described.

  When a user starts a browser on the PC 4 and accesses the EC site 10 by specifying a predetermined URL, the EC function processing unit 11 displays a web page (usually a top page) corresponding to the specified URL in the browser. To display. In the present embodiment, the product information and the advertisement page correspond to the top page in the EC site 10. Thereafter, the user sequentially switches the web pages to be displayed on the display of the PC 4 by a predetermined page selection operation. In the present embodiment, an arbitrary web page is not selectable, and the web pages are selected in the order according to the analysis viewpoint for convenience. The user leaves the EC site 10 after purchasing the product while changing the web page or without purchasing the product.

  When the user operation collection unit 12 collects the page selection operation by the user, the user operation collection unit 12 passes the operation to the stay information transmission unit 13. The stay information transmission unit 13 summarizes the information sent from the user operation collection unit 12 for each visit to the EC site 10 by one user. Is newly provided, and the stay information illustrated in FIG. 5 is generated and transmitted to the evaluation support apparatus 20. When the stay information receiving unit 21 in the evaluation support device 20 acquires the stay information transmitted from the EC site 10, the stay information receiving unit 21 registers the acquired stay information in the stay information storage unit 26.

  In the present embodiment, the stay information transmitting unit 13 functions as a stay information generating unit so that the stay information is generated on the EC site 10 side and then transmitted to the evaluation support device 20. The information collected by the unit 12 may be transmitted as it is or edited and processed to the evaluation support apparatus 20, and the stay information may be generated on the evaluation support apparatus 20 side. For example, a stay information generating unit may be provided separately in the evaluation support device 20, or the stay information receiving unit 21 may have a function as a stay information generating unit. Alternatively, the information sent from the EC site 10 side is stored, and the evaluation information generating unit 22 that uses the stay information is provided with a function as a stay information generating means so that the stay information is generated when the evaluation information is generated. It may be.

  Next, a process for generating evaluation information that is an index for evaluating the configuration of the EC site 10 performed by the evaluation information generation unit 22 of the evaluation support apparatus 20 will be described.

  The EC site 10 is visited a plurality of times by a plurality of users. One user may visit multiple times. Accordingly, a plurality of pieces of stay information are registered in the stay information storage unit 26. The evaluation information generation unit 22 generates the following evaluation information with reference to the stay information, the web page information, and the user information. Then, the user interface unit 23 displays the evaluation information generated in accordance with the operation instruction from the evaluator on the display 38. As is apparent from the following display examples, the index data for evaluating the configuration of the EC site 10 is obtained for each analysis viewpoint in the present embodiment.

  FIG. 6 is a diagram illustrating an example of a screen display when the evaluation information generated by the evaluation information generation unit 22 is displayed on the screen. FIG. 6 shows a graph in which the horizontal axis is an analysis viewpoint, the vertical axis is the number of page views (the number of visits), and the page views are arranged in descending order. It should be noted that the number of page views of each web page is aggregated and displayed in an analysis viewpoint in which a plurality of web pages are allocated, such as interest (strong). Of the stay information registered in the stay information storage unit 26, the number of stay information in which the stay time is set is the number of page views of each analysis viewpoint.

  Referring to the broken line 51 portion of this graph, it can be seen that the number of page views of the web page to which the analysis viewpoint “user registration is in progress” is extremely reduced. Therefore, by referring to this graph, the evaluator evaluates that there is a high possibility that the user registration information input page of e-Commerce corresponding to “user registration in progress” has caused the purchase abandonment. That is, it is evaluated that the user registration information input page of e-Commerce is relatively ineffective. Then, the evaluator determines that there is room for improvement in the user registration method and the position of user registration in the purchase behavior process. Alternatively, if user registration is not performed, there is a possibility that it will lead to the sale of products, so it may be determined that there is room for consideration not to allow user registration.

  FIG. 7 is a diagram illustrating an example of a screen display when other evaluation information generated by the evaluation information generation unit in the present embodiment is displayed on the screen. FIG. 7 shows an example in which an indicator called stay deviation is obtained for each analysis viewpoint and displayed as a graph on a radar chart. First, the stay deviation will be described.

  In the stay information registered in the stay information storage unit 26, the stay time on the web page is set for each analysis viewpoint, so the evaluation information generating unit 22 analyzes the average value of the stay time on the web page Calculate for each viewpoint. And the average value of the average value for every analysis viewpoint is calculated | required, and the deviation value of each analysis viewpoint with respect to this whole average value is calculated | required. This deviation value is referred to as “stay deviation” in the present embodiment.

  According to this graph, since the stay deviation of the analysis viewpoint related to the order indicated by the broken line 52 is larger than the stay deviation of the analysis viewpoint related to the estimate indicated by the broken line 53, it can be understood that the stay time related to the estimate is longer than the stay time related to the order. Therefore, by referring to this graph, the evaluator evaluates that the estimation screen is difficult to understand. That is, it is evaluated that the product estimate information input page and the product estimate completion page are not effective compared to the product order information input page and the product order completion page. Then, the evaluator determines that there is room for improvement in the design of the estimation screen.

  As an evaluation based on the stay deviation, if the stay deviation is larger than the average value, it means that the user has stayed for a long time on the web page assigned to the analysis viewpoint. In this case, it may be evaluated that there is some problem with the web page to which the analysis viewpoint is assigned. On the other hand, if the stay deviation is smaller than the average value, it may be evaluated that the web page to which the analysis viewpoint is given is easy to understand, but since there is no interest in the analysis viewpoint or it has been referred to in the past. It is also possible to pass through. In consideration of such a case, it is desirable that the evaluator appropriately evaluates all the analysis viewpoints according to the characteristics of the analysis viewpoints, instead of uniformly evaluating the values according to the magnitude of the values.

  Although the above example is an evaluation of the configuration of the EC site 10 in the entire product handled at the EC site 10, the configuration of the EC site 10 of each product may be evaluated.

  FIG. 8 is a diagram illustrating an example of a screen display when the evaluation information generated by the evaluation information generation unit in the present embodiment is displayed on the screen focusing on one product. FIG. 8 shows a graph similar to FIG. 6 specialized for one product called ABC software. In addition, you may make it identify the goods which the visitor to EC site 10 is purchasing by specifying the goods which downloaded the demo version, or the goods which took the estimate. In addition, you may make it record the goods specific information which visitor to EC site 10 makes into purchase object included in stay information.

  Referring to the broken line 54 portion of this graph, it can be seen that the number of page views of the web page of each analysis point after “trial” is small. Therefore, by referring to this graph, the evaluator evaluates that there is a high possibility that the deficiency in the structure of the demo has caused the purchase of the product to be abandoned. That is, it is evaluated that the download execution page is relatively ineffective. Then, the evaluator determines that there is room for improvement in the demo structure. Alternatively, it may be determined that there is room for improvement in the ABC software itself because there is a problem with the product itself of the attempted ABC software.

  FIG. 9 is a diagram illustrating an example of a screen display when other evaluation information generated by the evaluation information generation unit in the present embodiment is displayed on the screen focusing on one product. FIG. 9 shows a graph similar to FIG. 7 specialized for one product called ABC software.

  Referring to the broken line 55 portion of this graph, it can be seen that the stay deviation of “purchase consideration (price)” is relatively large. Therefore, by referring to this graph, the evaluator evaluates that there is a high possibility that the user has been lost due to a problem in price presentation, which has caused the purchase of the product to be abandoned. That is, the detailed price page of ABC software is evaluated as relatively ineffective. Then, the evaluator determines that there is room for improvement in the method of presenting the price of the ABC software. Alternatively, it may be determined that there is a problem with the ABC software price setting itself and that it is necessary to review the review of the ABC software price.

  The evaluation information generation part 22 in this Embodiment produces | generates the evaluation information called interest degree separately from the said evaluation information. The degree of interest of the entire product is obtained by multiplying the weight set for each analysis point by the number of page views of the web page allocated to that analysis point, and dividing the sum of the multiplication values calculated for each analysis point by the number of products. . The degree of interest of the entire product is a standard for the degree of interest in each product.

  Subsequently, the evaluation information generation unit 22 calculates the degree of interest for each product. Although the interest level of the entire product is calculated based on all the stay information registered in the stay information storage unit 26, the interest level of each product is calculated only from the stay information corresponding to the product. The calculation formula may be the same as the calculation formula for the degree of interest of the entire product.

  When the interest level of the product is calculated, the calculated interest level is compared with a reference value (interest level of the entire product). When the interest level of a product is lower than the reference value, the interest in the product is relatively low. Accordingly, it is evaluated that all or a part of the web pages related to the product such as the product information page and the demonstration introduction page of the product are relatively ineffective. Then, the evaluator determines that there is room for improvement in the web page related to the product. Or you may decide that it is necessary to consider removing the product from the lineup.

  In the present embodiment, an example in which the evaluation information is presented in the format as described above is shown, but it is not necessary to limit to this. For example, by referring to user information, stratification analysis may be performed according to user attribute information such as gender, age, occupation, etc., and attributes such as product category, durable item, consumable item, etc., not individually. The stratified analysis may be performed according to the above.

  In the present embodiment, in order to evaluate the configuration of the EC site 10, information for evaluating each web page on the EC site 10 is generated and provided based on the purchase behavior process. The evaluator refers to this evaluation information and examines how to configure the web page on the EC site 10, in what order, and how to design the contents of each web page. Will do. Then, the examination result (evaluation result) is presented to the customer who owns the EC site. When presenting, evaluation information may also be presented.

  In this embodiment, the configuration of the EC site 10 is evaluated as described above. However, the configuration of the EC site 10 operated without using the recommendation and the EC site operated using the recommendation. The present embodiment may be used to evaluate a recommendation by comparing the evaluation with 10 configurations.

  In the present embodiment, the EC site 10 and the evaluation support apparatus 20 that generates the evaluation information are realized by different computers, but may be realized by the same computer. In this embodiment, the user interface unit 23 is provided as a display control unit, and the evaluation information is displayed on the display 38 of the evaluation support apparatus 20. However, the display information is displayed on an apparatus other than the evaluation support apparatus 20. Also good. For example, display information for displaying the display contents of FIGS. 6 to 9 may be transmitted to another device as the control contents in the display control means.

2 network, 10 EC site, 11 EC function processing unit, 12 user operation collection unit, 13 stay information transmission unit, 20 evaluation support device, 21 stay information reception unit, 22 evaluation information generation unit, 23 user interface unit, 24 web page Information storage unit, 25 User information storage unit, 26 Stay information storage unit, 31 CPU, 32 ROM, 33 RAM, 34 Hard disk drive (HDD), 35 HDD controller, 36 Mouse, 37 Keyboard, 38 Display, 39 Input / output controller, 40 Network controller, 41 Internal bus.

Claims (5)

A purchase behavior item from when a user visits a site until purchase of a product, identification information for identifying a web page included in the site, and weight information indicating the degree of influence on the purchase behavior are stored in association with each other. Storage means;
Acquisition means for acquiring a user's stay time on each of the web pages;
Generating means for generating configuration evaluation information of the website based on the weight information of each web page and the stay time;
An evaluation support system characterized by comprising:   The evaluation support system according to claim 1, wherein the generation unit obtains index data for evaluating the configuration of the website for each purchase action item.   The evaluation support system according to claim 1, wherein the generation unit generates configuration evaluation information based on an average stay time of each purchase action item.   The evaluation support system according to claim 1, wherein the generation unit counts the number of visits to each web page for each purchase behavior item, and generates configuration evaluation information based on the total number of visits. A purchase behavior item from when a user visits a site until purchase of a product, identification information for identifying a web page included in the site, and weight information indicating the degree of influence on the purchase behavior are stored in association with each other. A computer that can access the storage means,
Acquisition means for acquiring a user's stay time on each of the web pages;
Generating means for generating composition evaluation information of the website based on weight information of each web page and the stay time;
Program to function as.

Images