JP2005044248A - Indication content measuring system, indication content measuring method, program and storage medium therefor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To indicate a web page to be altered by measuring an influence that affects sale of an article. <P>SOLUTION: An indication content measuring system measures the influence upon sale of an article given by an indication content in an article sale site where an article is sold on the Internet. The indication content includes at least an entry page that a user first visits, an article describing page describing the article, and an article purchasing page where the user can purchase the article. The system comprises a statistic output part that calculates the number of entry page browsing persons which is the number of users who have browsed the entry page, an article describing page browsing rate that indicates the rate at which the user who has browsed the entry page browses the article describing page, and a purchasing page browsing rate that indicates the rate at which the user who has browsed the entry page browses the article purchasing page; and an indication part that indicates the number of entry page browsing persons, the article describing page browsing rate, and the purchasing page browsing rate. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a display content measurement system, a display content measurement method, a program, and a recording medium. In particular, the present invention relates to a display content measurement system that measures the influence of display content on a product sales site that sells products on the Internet on the sale of the product.

  In recent years, electronic commerce utilizing the Internet has been actively performed, and there are many product sales sites that sell products on the Internet. Each merchandise sales site has a lot of advertising costs in order to be recognized by users and to purchase products among a number of merchandise sales sites. In addition, the administrator of each product sales site calculates the effect of advertising by calculating the number of accesses to the product sales site and the actual product sales for the cost of advertising such as banners. Yes.

  Since the existence of the prior art document is not recognized at the present time, the description regarding the prior art document is omitted.

  However, if the display content of the product sales site is difficult to understand or the operability is poor, the sales of the product will not increase even if the number of accesses is increased. In this case, in order to increase the sales of the product, it is necessary to improve the product sales site. However, conventionally, it has been difficult to specify which web page should be improved.

  Then, an object of this invention is to provide the display content measuring system, the display content measuring method, program, and recording medium which can solve said subject. This object is achieved by a combination of features described in the independent claims. The dependent claims define further advantageous specific examples of the present invention.

  A first aspect of the present invention is a display content measurement system that measures the influence of the display content on a product sales site that sells products on the Internet on the sale of the product, and the display content is at least used The first entry page that the user can visit, the item page linked from the entry page, the item description page explaining the contents of the item, and the item description page linked to the item page. Content page display rate that indicates the number of entry page viewers, the number of users who viewed the entry page, and the percentage of users who viewed the entry page subsequently viewed the product content description page. , And a purchase page showing the percentage of users who viewed the entry page subsequently viewed the product purchase page Includes a statistical output unit that calculates the browsing rate, entry page number of viewers, description page view rate, and a display unit that displays the purchase page view rate.

  The above-described display content measurement system includes a browsing rate statistical value storage unit that preliminarily stores respective statistical values of the content explanation page browsing rate and the purchase page browsing rate in other product sales sites that sell products of the same type as the product, By comparing the content explanation page browsing rate and purchase page browsing rate calculated by the statistics output unit with the statistics value of the content explanation page browsing rate and purchase page browsing rate stored in the browsing rate statistical value storage unit, the statistical value A browsing rate search unit that searches for a page having a lower browsing rate, and the display unit of the display content measurement system described above sets the page immediately before the page searched by the browsing rate search unit as a page to be changed. Further, it may be displayed.

  The display content measurement system described above includes a browsing time measuring unit that measures a browsing time, which is a time when a user browses each of an entry page, a product content explanation page, and a product purchase page, for each user, The browsing time history that is the history of each browsing time and the purchase history indicating whether or not the user has purchased the product, a history storage unit that stores for each user, and the history storage unit, the product The browsing time calculation unit that calculates the average browsing time of purchased users for each page, and other product sales sites that sell products of the same type as the product, the user who purchased the product browses each page A browsing time statistical value storage unit for storing the browsing time statistical value in advance, an entry page, a product content description page, and a product purchase page calculated by the browsing time calculation unit. It is shorter than the statistical value by comparing the average of each browsing time with the statistical values of the entry page, product description page, and product purchase page stored in the browsing time statistics storage unit. A browsing time search unit that searches for a page having a browsing time, and the display unit of the display content measurement system described above is a page linked to a page searched by the browsing time search unit and a page searched by the browsing time search unit. May be further displayed as a preferred page.

  The display content described above is further linked from the product content explanation page, and includes a product effect explanation page explaining the effect that the product gives to the user. The product purchase page is further linked from the product effect explanation page, The statistical output unit further calculates an effect explanation page browsing rate indicating a rate at which a user who viewed the entry page subsequently viewed the product effect explanation page, and the display unit of the display content measuring system described above browses the effect explanation page. The rate may be further displayed.

  The display content described above further includes a product purchaser support page that is linked from the product purchase page and supports the product purchaser who is the user who purchased the product. The display content measurement system further includes Stored in the history storage unit for storing the purchaser support page browsing history, which is the history of the time when the product purchaser support page was browsed, for each user, and when the user viewed the entry page Refer to the purchaser support page browsing history to determine whether the user has previously viewed the product purchaser support page, and if the user has previously viewed the product purchaser support page, After viewing the product purchaser support page, the number of re-viewers, who is the number of users who have viewed the entry page again, is increased by 1, and the buyer corresponding to the user When the user is browsing the product purchaser support page with reference to the browsing history update unit that clears the port page browsing history and the purchaser support page browsing history stored in the history storage unit, and the user When the specified time has elapsed after browsing the product purchaser support page, the user's purchaser support page browsing history is cleared, and the specified time has elapsed after browsing the product purchaser support page Time lapse history update unit that increases the number of time lapse users, which is the number of readers, and the number of re-viewers counted by the browsing history update unit, the number of re-viewers and the time lapse user counted by the time lapse history update unit A re-browsing rate calculation unit that calculates a re-browsing rate, which is a rate at which a user who has viewed the product purchaser support page browses the entry page again by dividing by the sum with the number, Display unit of the noted display contents measurement system, a re-viewing rate revisited rate calculating unit is calculated may be further displayed.

  In the display content measurement system described above, the entry page browsing history indicating that the user has browsed the entry page, the content description page browsing history indicating that the user viewing the entry page has browsed the product content description page, and the entry Stored in the history storage unit that stores the purchase page browsing history indicating that the user who viewed the page viewed the product purchase page for each user, and in the history storage unit when the user views the entry page Referring to the entry page browsing history, it is determined whether or not the user has previously viewed the entry page, and when the user has previously viewed the entry page, the browsing history of each previous page And a browsing history update unit that clears the entry page, and the statistical output unit browses the entry page stored in the history storage unit. Gravel, description page browsing history, and purchase based on the page browsing history, entry page number of viewers, description page view rate, and the purchase page view rate may be calculated respectively.

  A second form of the present invention is a program for a display content measurement system that measures the influence of the display content on a product sales site that sells products on the Internet on the sale of the product, and the display content is: At least an entry page that a user can visit first, a link from the entry page, a product content description page that explains the content of the product, and a link from the product content description page, and purchases the product The number of entry page viewers, the number of users who viewed the entry page, and the percentage of users who viewed the entry page subsequently viewed the product content description page. Page browsing rate and percentage of users who viewed the entry page subsequently viewed the product purchase page A statistical output calculating a purchase page browsing rate indicated, the entry page number of viewers, description page viewing rate, and to realize a display step of displaying the purchase page browsing rate display content measurement system.

  The above-mentioned program includes a browsing rate statistical value storage stage for preliminarily storing respective statistical values of the content explanation page browsing rate and the purchase page browsing rate in other product sales sites that sell products of the same type as the product, and a statistical output stage. By comparing the content explanation page browsing rate and the purchase page browsing rate calculated by the statistic value of the content explanation page browsing rate and the purchase page browsing rate stored in the browsing rate statistical value storage stage, respectively, When the display content measurement system further realizes a browsing rate search stage for searching for pages having a low browsing rate and realizes the display stage, the page immediately before the page searched in the browsing rate search stage is to be changed. May be further displayed.

  The above program includes a browsing time measurement stage in which the browsing time, which is the time when the user browses each of the entry page, product description page, and product purchase page, is measured for each user, and each browsing of each page. Browsing time history, which is a history of time, and purchase history indicating whether or not the user has purchased the product is stored for each user, and the usage of purchasing the product with reference to the history storage step Browsing time calculation stage to calculate the average browsing time of each user for each page, and browsing time when the user who purchased the product viewed each page on other product sales sites selling products of the same type as the product The browsing time statistics storage stage that stores the statistics in advance, the entry page, product description page, and product purchase calculated by the browsing time calculation stage By comparing the average browsing time of each page with the statistical values of the entry page, product description page, and product purchase page stored in the browsing time statistics storage stage, When the display content measurement system is further implemented with a browsing time search stage for searching for a page having a short browsing time, and the display stage is realized, the page searched in the browsing time search stage and searched in the browsing time search stage A page linked to the page may be further displayed as a preferred page.

  According to a third aspect of the present invention, there is provided a recording medium on which a program for a display content measurement system for measuring the influence of display content on a product sales site that sells products on the Internet on the sale of the product is recorded. , Display contents are linked from at least the entry page that the user can visit first, the entry page, and the product content explanation page that explains the contents of the product, and the product content explanation page And the product purchase page where the product can be purchased, the number of users who viewed the entry page, the number of users who viewed the entry page, and the user who viewed the entry page then viewed the product content description page. Content page browsing rate showing the ratio and the user who viewed the entry page The display content measurement system realizes a statistical output stage for calculating the purchase page browsing rate indicating the ratio of browsing the page, and a display stage for displaying the number of entry page viewers, the content explanation page browsing rate, and the purchase page browsing rate. Record the program.

  According to a fourth aspect of the present invention, there is provided a display content measurement method for measuring the influence of the display content on a product sales site that sells products on the Internet on the sale of the product, and the display content is at least used. The first entry page that the user can visit, the item page linked from the entry page, the item description page explaining the contents of the item, and the item description page linked to the item page. Content page display rate that indicates the number of entry page viewers, the number of users who viewed the entry page, and the percentage of users who viewed the entry page subsequently viewed the product content description page. , And purchase page review showing the percentage of users who viewed the entry page subsequently viewed the product purchase page To calculate the rate, entry page number of viewers, description page view rate, and displays the purchase page view rate.

  The above summary of the invention does not enumerate all the necessary features of the present invention, and sub-combinations of these feature groups can also be the invention.

  Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the scope of claims, and all combinations of features described in the embodiments are included. It is not necessarily essential for the solution of the invention.

  FIG. 1 shows an example of the overall configuration of the network system 10. The network system 10 includes a plurality of user terminals 20, a communication network 30, and a merchandise sales server 40. The user terminal 20 is a terminal used by the user, and is connected to the merchandise sales server 40 via a communication network 30 such as the Internet network. The merchandise sales server 40 operates a merchandise sales site that sells merchandise such as goods or services on the Internet. When accessed from the user terminal 20, the merchandise sales server 40 has a web page for each merchandise. The display content is sent to the user terminal 20. The user of the user terminal 20 acquires information related to the product based on the display content of the received web page, and purchases the product. In the merchandise sales site, the merchandise sales server 40 of the present embodiment indicates the web page to be changed by measuring the influence of the display content of the web page on the sale of the merchandise.

  FIG. 2 is a diagram illustrating an example of the configuration of the merchandise sales server 40. The merchandise sales server 40 includes a web server unit 42, a display content measurement unit 44, and a recording medium 46. The web server unit 42 is connected to the display content measuring unit 44. Further, the web server unit 42 is connected to the user terminal 20 via the communication network 30, an entry page that the user terminal 20 can first visit, a product content explanation page that explains the content of the product, a product Display of multiple web pages, such as a product effect explanation page that explains the effect that a user has on a product, a product purchase page that can purchase a product, and a product purchaser support page that supports a product purchaser who has purchased a product Store the contents.

  Then, the web server unit 42 transmits any display content to the user terminal 20 in response to a request from the user terminal 20. In addition, the web server unit 42 stores, as an access history, information related to the time of access from the user terminal 20 and the display content transmitted to the user terminal 20 in association with the user ID for identifying the user. ing. Then, the display content measurement unit 44 receives the access history from the web server unit 42 and measures the browsing state of the display content. The web server unit 42 generates, for example, a user ID and stores it in the user terminal 20 as a cookie. When the user terminal 20 accesses the web server unit 42, the user terminal 20 It is good also as a structure which acquires the information of the user terminal 20 by reading a cookie from.

  The display content measurement unit 44 includes a history management unit 410, a measurement value calculation unit 430, and a display unit 450. The history management unit 410 includes a browsing time measurement unit 412, a browsing history update unit 414, a time lapse history update unit 418, and a history storage unit 422.

  The history storage unit 422 browses the entry page browsing history indicating that the user has browsed the entry page, the content explanation page browsing history indicating that the user who viewed the entry page has browsed the product content explanation page, and browses the entry page. The effect explanation page browsing history indicating that the user who browsed the product effect explanation page and the purchase page browsing history indicating that the user who viewed the entry page viewed the product purchase page are associated with the user ID. Store. The content explanation page browsing history, the effect explanation page browsing history, and the purchase page browsing history are each stored as browsing time, and when not browsing, 0 is stored as browsing time.

  Further, the history storage unit 422 stores the purchase history indicating whether or not the user has purchased the product and the purchaser support page browsing history that is the history of the time when the user browsed the product purchaser support page. Stored in association with the ID.

  Based on the access history received from the web server unit 42, the browsing time measuring unit 412 measures the browsing time, which is the time when the user browses each web page, for each user ID. Then, the browsing time measurement unit 412 stores the measured browsing time of each web page in the history storage unit 422 in association with the user ID. In addition, when the user purchases a product, the browsing time measurement unit 412 stores information indicating that the user has purchased the product in the history storage unit 422 as a purchase history. Further, when the user browses the product purchaser support page, the browsing time measuring unit 412 stores the time when the user browses the product purchaser support page in the history storage unit 422 as the purchaser support page browsing history. To do.

  The browsing history update unit 414 refers to the purchaser support page browsing history stored in the history storage unit 422 when the user browses the entry page, and the user browses the product purchaser support page before. Determine whether or not. When the user has browsed the product purchaser support page before, the browsing history update unit 414 browses the product purchaser support page and then browses again the number of users who browsed the entry page again. Increase the number by one. Then, the browsing history update unit 414 clears the purchaser support page browsing history corresponding to the user ID. In this case, the browsing history update unit 414 clears the purchaser support page browsing history of the corresponding user ID by writing 0 year 0 day 0 hour 0 minute 0 second in the history storage unit 422.

  When the user browses the entry page, the browsing history update unit 414 refers to the entry page browsing history stored in the history storage unit 422 to determine whether the user has previously viewed the entry page. judge. When the user has browsed the entry page before, the browsing history update unit 414 displays the entry page browsing history, content explanation page browsing history, effect explanation page browsing history, purchase page browsing stored in the history storage unit 422. Clear history and purchase history.

  The time lapse history update unit 418 refers to the purchaser support page browsing history stored in the history storage unit 422, and the user is browsing the product purchaser support page, and the user is the product purchaser. When a predetermined time has elapsed after browsing the support page, the purchaser support page browsing history of the user is cleared. Then, after browsing the merchandise purchaser support page, the time lapse history update unit 418 increases the number of time lapse users, which is the number of users for which a predetermined time has elapsed, by one.

  The measurement value calculation unit 430 includes a browsing time calculation unit 432, a browsing time statistical value storage unit 434, a browsing rate statistical value storage unit 436, a statistical output unit 438, a re-browsing rate calculation unit 442, a browsing time search unit 444, and a browsing rate. A search unit 446 is provided. The browsing time calculation unit 432 refers to the history storage unit 422 and calculates the average browsing time of the user who purchased the product for each page.

  The browsing time statistical value storage unit 434 stores in advance a statistical value of browsing time when a user who has purchased a product browses each page. The statistical value of the browsing time means that a user who has purchased a product in each of the products sold on the product sales site on the product sales server 40 and a plurality of other product sales sites selling the same type of product. It is the average of the browsing time which browsed the web page. The browsing time search unit 444 is configured to calculate the average browsing time of the product content explanation page, the product effect explanation page, and the product purchase page calculated by the browsing time calculation unit 432, and the products stored in the browsing time statistical value storage unit 434. A web page having a browsing time shorter than the statistical value is searched by comparing the statistical values of the browsing time of the content explanation page, the product effect explanation page, and the product purchase page.

  Based on the entry page browsing history stored in the history storage unit 422, the statistics output unit 438 counts the number of entry page viewers, which is the number of users who have viewed the entry page. Further, the statistical output unit 438 refers to the content explanation page browsing history stored in the history storage unit 422, and displays the total number of users who browsed the product content explanation page after browsing the entry page. Divide by. Thereby, the statistics output part 438 calculates the content description page browsing rate which shows the ratio which the user who browsed the entry page browsed the product content description page after that.

  Further, the statistical output unit 438 refers to the effect explanation page browsing history stored in the history storage unit 422, and displays the total number of users who have viewed the product effect explanation page after browsing the entry page. Divide by. Thereby, the statistics output part 438 calculates the effect explanation page browsing rate which shows the ratio which the user who browsed the entry page browsed the product effect explanation page after that. Further, the statistical output unit 438 refers to the purchase page browsing history stored in the history storage unit 422 and divides the total number of users who browsed the product purchase page after browsing the entry page by the number of entry page viewers. . Thereby, the statistics output part 438 calculates the purchase page browsing rate which shows the ratio which the user who browsed the entry page browsed the product purchase page after that.

  The browsing rate statistical value storage unit 436 stores the statistical values of the content explanation page browsing rate, the effect explanation page browsing rate, and the purchase page browsing rate in advance. The statistical value of the browsing rate is the content page description rate and the effect explanation in the product sold on the product sales site on the product sales server 40 and the plurality of other product sales sites selling the same type of product. It is the average of each page browsing rate and purchase page browsing rate.

  The browsing rate search unit 446 has the browsing rate of the product content explanation page, the product effect explanation page, and the product purchase page calculated by the statistical output unit 438, and the product content explanation page stored in the browsing rate statistical value storage unit 436. The web page having a browsing rate lower than the statistical value is searched by comparing the statistical value of the browsing rate of each of the product effect explanation page and the product purchase page.

  The re-browsing rate calculation unit 442 divides the number of re-browser counted by the browsing history update unit 414 by the sum of the number of re-browser and the number of time elapsed users counted by the time elapsed history update unit 418, A re-browsing rate is calculated, which is the rate at which the user who has viewed the product purchaser support page has viewed the entry page again.

  The display unit 450 displays the measured values and statistical values of the number of entry page viewers, content explanation page browsing rate, purchase page browsing rate, effect explanation page browsing rate, and re-browsing rate, respectively. Further, the display unit 450 displays the web page immediately before the web page searched by the browsing rate search unit 446 as the web page to be changed. Further, the display unit 450 displays the web page searched by the browsing time search unit 444 and the web page linked to the web page searched by the browsing time search unit 444 as a preferable web page. Further, the display unit 450 may display the average browsing time of each web page calculated by the browsing time calculation unit 432.

  The recording medium 46 includes the above-described browsing time measurement unit 412, browsing history update unit 414, time lapse history update unit 418, history storage unit 422, browsing time calculation unit 432, browsing time statistical value storage unit 434, and browsing rate statistical value storage. Section 436, statistical output unit 438, re-browsing rate calculation unit 442, browsing time search unit 444, browsing rate search unit 446, and program for causing the display content measurement unit 44 of the product sales server 40 to realize the functions of the display unit 450 Is stored. The recording medium 46 may be, for example, an optical recording medium such as DVD or PD, a magneto-optical recording medium such as MD, a tape medium, or a magnetic recording medium. The merchandise sales server 40 reads these programs from the recording medium 46 and executes them. Further, the merchandise sales server 40 may acquire these programs via a communication line such as the communication network 30.

  FIG. 3 shows an example of an entry page provided in the merchandise sales site. The merchandise sales site displays display contents to be displayed for selling the merchandise. The display content has an entry page that the user can visit first. The entry page includes a plurality of link buttons 52a-d, 54a-d, 56a-d, 58a-c, 60a-c, and 62a-c. By clicking the link buttons 52 to 62, a predetermined linked page is displayed.

  Here, when the average browsing time of the entry page in the user who purchased the product is shorter than the statistical value of the browsing time of the entry page stored in the browsing time statistical value storage unit 434, the entry page is It is judged as a preferable web page that is easy for a user who has purchased a product to understand and has high operability. Thus, a preferable web page can be specified by comparing the browsing time of each web page with a statistical value.

  The link buttons 52a to 52d and 58a to 58c link to the product content explanation pages corresponding to the products 1a to d and 2a to c, respectively. The link buttons 56a-d and 62a-c link to the product purchaser support pages corresponding to the products 1a-d and 2a-c, respectively. The link buttons 54a to 54d and 60a to 60c link to the product content explanation pages of accessories corresponding to the products 1a to d and 2a to c, respectively.

  FIG. 4 shows an example of a product content explanation page provided on the product sales site. The display content of the product sales site further includes a product content description page. The product content explanation page is a web page explaining the content of the product, and is linked from the entry page. The product content explanation page is linked to the product effect explanation page by a link button 66. In addition, the product content explanation page is linked to the corresponding product purchase page by the respective link buttons 68a to 68c.

  When the browsing rate of the product description page is low compared to the statistical value of the content description page browsing rate stored in the browsing rate statistical value storage unit 436, the user who viewed the entry page browses the product description page. The percentage is less than the statistical value. That is, it is determined that the entry page cannot guide the user to the product content explanation page. Therefore, in this case, it can be determined that the entry page which is the web page immediately before the product content explanation page is the web page to be changed. In this way, by comparing the browsing rate of each web page with the statistical value, the web page to be changed can be specified.

  FIG. 5 shows an example of the product effect explanation page provided in the product sales site. The display content of the product sales site further has a product effect explanation page. The product effect explanation page is a web page explaining the effect that the product gives to the user, and is linked from the product content explanation page. The product effect explanation page is linked to the product purchase page by a link button 72. Further, the product effect explanation page is linked to a web page having a different content for explaining the effect of the product by a link button 74.

  FIG. 6 shows an example of a product purchase page provided in the product sales site. The display content of the product sales site further includes a product purchase page. The product purchase page is a web page on which a product can be purchased, and is linked from the product content explanation page and the product effect explanation page. The product purchase page is linked to the product purchaser support page by a link button 82.

  FIG. 7 shows an example of a product purchaser support page provided in the product sales site. The display content of the product sales site further includes a product purchaser support page. The product purchaser support page is a web page that provides information for supporting a user who has purchased a product, and is linked from the product purchase page and the entry page. The product purchaser support page is linked to web pages having different contents for supporting the user by a plurality of link buttons 92, 94, and 96, respectively. The product purchaser support page is linked to the entry page by a link button 98.

  Here, when the user who browsed the product purchaser support page browses the entry page again, the user wishes to browse the support information on the product purchaser support page further, or is satisfied with the support information. It can be determined that he / she wanted to purchase further. Therefore, when the re-browsing rate, which is the rate at which the user who browsed the product purchaser support page browsed the entry page again, is larger than the statistical value of the re-browsing rate stored in the browsing rate statistical value storage unit 436, It can be determined that the product purchaser support page is a preferred web page.

  In this example, the web pages of the entry page, the product content explanation page, the product effect explanation page, the product purchase page, and the product purchaser support page are directly linked to each other. As another example, each web page may be linked to another web page, and may be indirectly linked via the other web page.

  FIG. 8 shows an example of a history database stored in the history storage unit 422. The history storage unit 422 stores entry page browsing time, entry page browsing time, product content explanation page browsing time, product effect explanation page browsing time, product purchase page browsing time, purchase history, and purchaser support page browsing history. Stored in association with the ID. When the user is not browsing in the product content explanation page browsing time, the product effect explanation page browsing time, and the product purchase page browsing time, 0 is set as the browsing time. In the purchase history, “◯” is stored when a user having a corresponding user ID purchases a product, “X” is stored when the product is not purchased, and when the entry page is viewed again.

  The purchaser support page browsing history stores the time when the user having the corresponding user ID browsed the product purchaser support page. In addition, when the merchandise purchaser support page is not being browsed and when a predetermined time has elapsed after the merchandise purchaser support page has been browsed, it is initialized to 0:00:00 on 00:00:00.

  FIG. 9 shows an example of the display screen of the display unit 450. The display screen displays the measured values measured by the measured value calculation unit 430, the statistical values stored in the browsing time statistical value storage unit 434 and the browsing rate statistical value storage unit 436, and evaluations corresponding to the measured values. Display in association with the page. In the entry page column, the viewing time and the number of users that are the number of entry page viewers are displayed. In the columns of the product content explanation page, the product effect explanation page, and the product purchase page, a viewing rate and a viewing time are displayed, respectively. The re-browsing rate is displayed in the column of the purchaser support page.

  In this example, since the browsing rate of the product effect explanation page is lower than the statistical value, the evaluation of the product content explanation page which is the web page immediately before the product effect explanation page is displayed in the column of the browse rate as the web page to be changed. Indicated by ×. Moreover, in this example, since the browsing time of the product content description page is shorter than the statistical value, the evaluation of the entry page linked to the product content description page and the product content description page is set as a preferable web page in the column of browsing time. It is shown in

  FIG. 10 shows an example of a browsing time statistical value database stored in the browsing time statistical value storage unit 434. The browsing time statistical value storage unit 434 stores the browsing time of each web page in association with each product.

  FIG. 11 shows an example of a browsing rate statistical value database stored in the browsing rate statistical value storage unit 436. The browsing rate statistical value storage unit 436 stores the browsing rate of each web page in association with each product. The browsing rate statistical value storage unit 436 further stores a statistical value of the number of entry page viewers and a statistical value of a repurchase rate. Here, the statistical value selects a product for which a category has been determined in advance as the same type of product, and for the same type of product, a plurality of browsing rates and browsing times for each web page on other product sales sites. It is the value measured and averaged for the users. In addition, on other web sites that sell the same product or products of the same category with a price difference within a predetermined range, the browsing time of each web page can be set to multiple users. The values measured and averaged may be used as statistical values.

  FIG. 12 is a flowchart illustrating an example of the operation of the history management unit 410. The browsing history update unit 414 determines whether an access history is received from the web server unit 42 (S100). When the access history has not been received from the web server unit 42 (S100: No), the time lapse history update unit 418 refers to the history storage unit 422 and the predetermined time has elapsed from the last time the entry page was viewed. It is determined whether or not there is a user ID (S102). Here, the predetermined time may be about one month, for example.

  When there is a user ID for which a predetermined time has elapsed (S102: Yes), the time lapse history update unit 418 clears the purchaser support page browsing history of the user ID for which the predetermined time has elapsed. Then, after browsing the product purchaser support page, the web server unit 420 increments the number of time elapsed users, which is the number of users for which a predetermined time has elapsed (S106). Then, the browsing history update unit 414 determines again whether or not an access history has been received from the web server unit 42 (S100).

  When the access history is received from the web server unit 42 (S100: Yes), the browsing history update unit 414 refers to the history storage unit 422 and determines whether or not the same user ID is stored in the history storage unit 422. Is determined (S104). When the same user ID is not stored in the history storage unit 422 (S104: No), the browsing history update unit 414 stores the current access time in the history storage unit 422 together with the user ID as the entry page browsing time. (S112). When the same user ID is stored in the history storage unit 422 (S104: Yes), the browsing history update unit 414 refers to the purchaser support page browsing history of the history storage unit 422, and the user has previously It is determined whether or not the merchandise purchaser support page has been browsed (S108).

  When the user has not browsed the product purchaser support page before (S108: No), the browsing history update unit 414 browses the entry page browsing time, entry page browsing time, and product content explanation page of the corresponding user ID. The time, the product effect explanation page browsing time, the product purchase page browsing time, and the purchase history are deleted, and the current access time is stored in the history storage unit 422 as the entry page browsing time of the corresponding user ID (S114).

  When the user has previously viewed the product purchaser support page (S108: Yes), the browsing history update unit 414 is the number of users who have viewed the entry page after viewing the product purchaser support page. Increase the number of re-viewers by one. Then, the browsing history update unit 414 clears the purchaser support page browsing history of the user ID corresponding to the user (S110). And the browsing history update part 414 performs the process shown to step 114 (S114).

  Next, the browsing time measuring unit 412 calculates the browsing time of the currently browsed web page based on the access history received from the web server unit 42, and stores it in the history storage unit 422 (S116). And the browsing history update part 414 determines whether the user purchased goods (S118). When the user has not purchased the product (S118: No), the browsing history update unit 414 determines whether or not access to the product sales site has ended (S122).

  When the user purchases a product (S118: Yes), the browsing history update unit 414 writes the purchase history of the corresponding user ID in the history storage unit 422 (S120). Then, the browsing history update unit 414 determines whether or not access to the merchandise sales site has ended (S122). When the access to the merchandise sales site is completed (S122: Yes), the history management unit 410 determines whether or not an operation end instruction is received due to power-off or the like (S124). If access to the merchandise sales site has not ended (S122: No), the browsing time measurement unit 412 again browses the web page currently being browsed based on the access history received from the web server unit 42. Is calculated and stored in the history storage unit 422 (S116).

  If an instruction to stop the operation is received in step 124 (S124: Yes), this flowchart ends. When the operation stop instruction has not been received (S124: No), the browsing history update unit 414 determines again whether the access history has been received from the web server unit 42 (S100). Above, description of this flowchart is complete | finished.

  Based on the history stored in the history storage unit 422 as described above, the measurement value calculation unit 430 calculates the number of entry page viewers, the browsing time, the browsing rate, and the re-viewing rate, and the corresponding statistical values. And it displays on the display part 450 with evaluation of each web page.

  As is clear from the above description, according to the display content measuring unit 44 of the present embodiment, the web to be changed is measured by measuring the influence of the display content of the web page on the sale of the product at the product sales site. A page can be shown.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

1 is a diagram illustrating an example of an overall configuration of a network system 10. FIG. 2 is a diagram illustrating an example of a configuration of a merchandise sales server 40. FIG. It is a figure which shows an example of the entry page provided in the merchandise sales site. It is a figure which shows an example of the goods content description page provided in the goods sales site. It is a figure which shows an example of the product effect description page provided in the product sales site. It is a figure which shows an example of the goods purchase page provided in the goods sales site. It is a figure which shows an example of the goods purchaser support page provided in the goods sales site. It is a figure which shows an example of the history database which the history storage part 422 stores. It is a figure which shows an example of the display screen of the display part. It is a figure which shows an example of the browsing time statistics value database which the browsing time statistics storage part 434 stores. It is a figure which shows an example of the browsing rate statistics value database which the browsing rate statistics value storage part 436 stores. 6 is a flowchart illustrating an example of an operation of a history management unit 410.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Network system, 20 ... User terminal, 30 ... Communication network, 40 ... Merchandise sales server, 42 ... Web server part, 44 ... Display content measurement part, 46 ... Recording medium 410... History management unit 412... Browsing time measurement unit 414... Browsing history update unit 418. ..Measured value calculation unit, 432 ... browsing time calculation unit, 434 ... browsing time statistical value storage unit, 436 ... browsing rate statistical value storage unit, 438 ... statistic output unit, 442 ... Re-browsing rate calculation unit, 444 ... browsing time search unit, 446 ... browsing rate search unit, 450 ... display unit, 52, 66, 72, 82, 98 ... link button

Claims (11)

A display content measurement system that measures the influence of the display content on a product sales site that sells products on the Internet on the sale of the product,
The display content is linked from at least an entry page that a user can first visit, a product content explanation page that is linked from the entry page and explains the content of the product, and a link from the product content explanation page And a product purchase page on which the product can be purchased,
The number of entry page viewers that is the number of users who have browsed the entry page, the content page browsing rate indicating the percentage of users who have viewed the entry page subsequently viewed the product content description page, and the entry page A statistical output unit that calculates a purchase page browsing rate indicating a ratio of the user who has viewed the product purchase page afterwards,
A display content measurement system comprising: a display unit that displays the number of entry page viewers, the content explanation page browsing rate, and the purchase page browsing rate. In other product sales sites that sell products of the same type as the product, a browsing rate statistical value storage unit that stores in advance each statistical value of the content description page browsing rate and the purchase page browsing rate,
The content explanation page browsing rate and the purchase page browsing rate calculated by the statistical output unit, and the content explanation page browsing rate and the statistical value of the purchase page browsing rate stored in the browsing rate statistical value storage unit. A browsing rate search unit that searches for pages having the browsing rate lower than the statistical value by comparing;
The display content measurement system according to claim 1, wherein the display unit further displays a page immediately before the page searched by the browsing rate search unit as a page to be changed. A browsing time measuring unit for measuring a browsing time, which is a time when the user browses each of the entry page, the product content description page, and the product purchase page;
A history storage unit that stores, for each user, a browsing time history that is a history of the browsing time of each of the pages, and a purchase history that indicates whether or not the user has purchased the product;
With reference to the history storage unit, a browsing time calculation unit that calculates an average of the browsing time of the user who purchased the product for each of the pages, and
In another product sales site that sells the same type of product as the product, the browsing time statistical value storage unit that stores in advance the statistical value of the browsing time when the user who purchased the product viewed the page;
An average of the browsing time of each of the entry page, the product content description page, and the product purchase page calculated by the browsing time calculation unit, and the entry page stored in the browsing time statistic storage unit, A browsing time search unit for searching for a page having the browsing time shorter than the statistical value by comparing the product content explanation page and the statistical value of each of the product purchase page,
The display content measurement system according to claim 1, wherein the display unit further displays the page searched by the browsing time search unit and a page linked to the page searched by the browsing time search unit as preferable pages. The display content further includes a product effect explanation page that is linked from the product content explanation page and explains an effect of the product on the user, and the product purchase page is further linked from the product effect explanation page. Has been
The statistical output unit further calculates an effect explanation page browsing rate indicating a rate at which a user who viewed the entry page subsequently viewed the product effect explanation page,
The display content measurement system according to claim 1, wherein the display unit further displays the effect explanation page browsing rate. The display content further includes a product purchaser support page that is linked from the product purchase page and supports the product purchaser who is the user who purchased the product,
The display content measurement system further includes:
A history storage unit for storing, for each user, a purchaser support page browsing history that is a history of the time when the user browsed the product purchaser support page;
Whether the user has previously viewed the product purchaser support page with reference to the purchaser support page browsing history stored in the history storage unit when the user browsed the entry page If the user has previously browsed the product purchaser support page, after viewing the product purchaser support page, it is the number of users who have viewed the entry page again. A browsing history update unit that increases the number of viewers by 1 and clears the purchaser support page browsing history corresponding to the user;
Referring to the purchaser support page browsing history stored in the history storage unit, the user is browsing the product purchaser support page, and the user is viewing the product purchaser support page. The number of users whose predetermined time has elapsed after browsing the purchaser support page browsing history of the user and browsing the product purchaser support page when a predetermined time has elapsed after browsing A time lapse history update unit that increases the number of time lapse users by 1;
The product purchaser support is obtained by dividing the number of re-viewers counted by the browsing history update unit by the sum of the number of re-viewers and the number of time-lapse users counted by the time-lapse history update unit. A re-browsing rate calculating unit that calculates a re-browsing rate that is a rate at which the user who has viewed the page has again viewed the entry page;
The display content measurement system according to claim 1, wherein the display unit further displays the re-browsing rate calculated by the re-browsing rate calculating unit. Entry page browsing history indicating that the user has browsed the entry page, content description page browsing history indicating that the user who viewed the entry page has browsed the product content description page, and browsing the entry page A history storage unit that stores, for each user, a purchase page browsing history indicating that the user has viewed the product purchase page;
When the user browses the entry page, it refers to the entry page browsing history stored in the history storage unit to determine whether the user has previously viewed the entry page, When the user has previously viewed the entry page, further comprising a browsing history update unit that clears the browsing history of each previous page,
The statistics output unit includes the entry page browsing history, the content explanation page browsing history, and the purchase page browsing history stored in the history storage unit, and the number of entry page viewers and the content explanation page browsing rate. The display content measurement system according to claim 1, wherein the purchase page browsing rate is calculated respectively. The display content on the product sales site that sells products on the Internet is a program for a display content measurement system that measures the effect on the sale of the product,
The display content is linked from at least an entry page that a user can first visit, a product content explanation page that is linked from the entry page and explains the content of the product, and a link from the product content explanation page And a product purchase page on which the product can be purchased,
The number of entry page viewers that is the number of users who have browsed the entry page, the content page browsing rate indicating the percentage of users who have viewed the entry page subsequently viewed the product content description page, and the entry page A statistical output stage for calculating a purchase page browsing rate indicating a ratio of the user who has viewed the product purchase page afterwards,
A program for causing a display content measurement system to realize the number of entry page viewers, the content explanation page browsing rate, and the display stage for displaying the purchase page browsing rate. In the other product sales site that sells the same type of product as the product, a browsing rate statistical value storage stage that pre-stores the statistical values of the content page browsing rate and the purchase page browsing rate,
The content explanation page browsing rate and the purchase page browsing rate calculated by the statistical output step, and the statistical value of the content explanation page browsing rate and the purchase page browsing rate stored in the browsing rate statistical value storage step. By comparing each, the display content measurement system further realizes a browsing rate search stage for searching for a page having the browsing rate lower than the statistical value,
The program according to claim 7, wherein when realizing the display step, the page immediately before the page searched in the browsing rate search step is further displayed as a page to be changed. A browsing time measuring step of measuring, for each user, a browsing time, which is a time when the user browses each of the entry page, the product content explanation page, and the product purchase page;
A history storage stage for storing, for each user, a browsing time history that is a history of the browsing time of each of the pages, and a purchase history indicating whether or not the user has purchased the product,
With reference to the history storage step, a browsing time calculation step of calculating an average of the browsing time of the user who has purchased the product for each of the pages,
In another product sales site that sells the same type of product as the product, a browsing time statistical value storage stage that stores in advance a statistical value of the browsing time when the user who purchased the product browsed each of the pages;
An average of the browsing time of each of the entry page, the product content description page, and the product purchase page calculated by the browsing time calculation stage, and the entry page stored in the browsing time statistic storage stage, A browsing time search stage for searching a page having the browsing time shorter than the statistical value by comparing the statistical value of each of the product content explanation page and the product purchase page with the display content measuring system. Further realized,
The said search step WHEREIN: The page linked in the said page searched in the said browsing time search step and the said page searched in the said browsing time search step is further displayed as a preferable page. program. A recording medium that records a program for a display content measurement system that measures the influence of the display content on a product sales site that sells products on the Internet on the sale of the product,
The display content is linked from at least an entry page that a user can first visit, a product content explanation page that is linked from the entry page and explains the content of the product, and a link from the product content explanation page And a product purchase page on which the product can be purchased,
The number of entry page viewers that is the number of users who have browsed the entry page, the content page browsing rate indicating the percentage of users who have viewed the entry page subsequently viewed the product content description page, and the entry page A statistical output stage for calculating a purchase page browsing rate indicating a ratio of the user who has viewed the product purchase page afterwards,
The recording medium which recorded the program which makes a display content measurement system implement | achieve the display step which displays the said entry page browsing number, the said content description page browsing rate, and the said purchase page browsing rate. A display content measurement method for measuring the influence of the display content on a product sales site that sells products on the Internet on the sale of the product,
The display content is linked from at least an entry page that a user can first visit, a product content explanation page that is linked from the entry page and explains the content of the product, and a link from the product content explanation page And a product purchase page on which the product can be purchased,
The number of entry page viewers that is the number of users who have browsed the entry page, the content page browsing rate indicating the percentage of users who have viewed the entry page subsequently viewed the product content description page, and the entry page Calculate a purchase page view rate that indicates the percentage of users who have viewed the product purchase page afterwards,
A display content measuring method for displaying the number of entry page viewers, the content explanation page browsing rate, and the purchase page browsing rate.

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