JP7422990B2 - Website analysis system, website analysis method, website analysis device, and program - Google Patents

Description

The present invention relates to a technology for classifying websites and making optimal improvement proposals from the viewpoint of improving SEO for each classified type.

Traditionally, websites have been a powerful advertising tool for companies to penetrate the market with their products and services, but it has become essential to devise ways to increase their effectiveness as advertising media. Then, the website operator conducts so-called access analysis that investigates the environment and characteristics of viewers, movements within the site, etc., and manually checks each analysis result to improve the website's performance. We are trying to identify issues and make improvements. Conventionally, websites have been a powerful tool for promoting products and services handled by companies into the market as advertising media, but it has become essential to devise ways to increase their effectiveness as advertising media. Then, the website operator conducts so-called access analysis that investigates the environment and characteristics of viewers, movements within the site, etc., and manually checks each analysis result to improve the website's performance. We are trying to identify issues and make improvements.

Here, as a technique for determining the function of a website to be analyzed, for example, in Patent Document 1, a collection means collects the URL of a first viewed web page in a website viewed by a user, and the first Collecting a plurality of website browsing logs that include the URL of a second viewed webpage viewed immediately before the second viewed webpage and that are acquired on the user terminal; A regular expression that extracts multiple functions that have common definitions among multiple websites for each of the web page groups for the purpose of , and common parts in the URLs of multiple web pages that correspond to each of the functions. and a regular expression-function conversion dictionary that corresponds to each other, and each of the URLs of the first viewed web page and the URL of the second viewed web page included in each of the plurality of viewed logs collected by the collection means. Disclosed is a website analysis method including the step of determining a function corresponding to each of the first viewed web page and each of the second viewed web page based on each of the first viewed web page and each of the second viewed web page.

Patent No. 5705772

However, Patent Document 1 does not disclose anything about classifying websites and making optimal improvement proposals from the viewpoint of improving SEO for each classified type.

The present invention has been made in view of these problems, and its purpose is to classify websites and make optimal improvement proposals for each classified type from the perspective of improving SEO. be.

In order to solve the above problems, a website analysis device according to one aspect of the present invention includes an acquisition processing unit that acquires data of a web page of a website, and an acquisition processing unit that acquires data of a web page and obtains a keyword group by analyzing the data of the web page. Based on the analysis processing unit and the keyword group , if the web page includes a means for linking to a sales person, it is determined that the web page is a sales person link type, and the web page includes a means for linking to a sales person. If the web page does not contain a shopping cart or a payment method, it is considered to be a web-based type, and if it is a web-based type, it is considered to be an e-commerce type or a non-e-commerce type depending on whether the web page includes a shopping cart or payment method. a specific processing unit that further determines the type of website and specifies the type of the website; a storage unit that stores improvement suggestion information for the website; and a storage unit that stores improvement suggestion information corresponding to the website type. and a proposal processing unit that reads and outputs the information.

A website analysis method according to another aspect of the present invention includes a step in which an acquisition processing unit obtains data on a web page of a website, and an analysis processing unit analyzes the data on the web page to obtain a keyword group. and a specific processing unit determines that the web page is a sales person link type if the web page includes a link to a sales person based on the keyword group, and provides a link to the sales person. If the method is not included, it is determined that it is a web-based type, and if it is a web-based type, it is determined whether the web page is an e-commerce type depending on whether the web page includes a shopping cart or a payment method. further comprising the steps of determining whether the website is a non-electronic commerce type and specifying the type of the website; and a step of the proposal processing unit reading and outputting improvement proposal information corresponding to the type of the website from a storage unit. .

A program according to still another aspect of the present invention includes a computer including: an acquisition processing unit that acquires data on a web page of a website; an analysis processing unit that analyzes the data on the web page to obtain a keyword group; According to If it is determined that the web page is a web-based type, it is further determined whether the web page is an e-commerce type or a non-e-commerce type, depending on whether the web page includes a shopping cart or a payment method , and the The present invention functions as a specific processing unit that specifies the type of the website, and a proposal processing unit that reads and outputs improvement proposal information corresponding to the type of website from the storage unit.

A website analysis system according to yet another aspect of the present invention is a system that includes a website analysis device and a user terminal device, and the website analysis device is configured to analyze a website specified by a URL. an acquisition processing unit that acquires data on a web page; an analysis processing unit that analyzes the data on the web page to obtain a keyword group; and a means for linking the web page to a sales representative based on the keyword group. If there is a link to the salesperson, it is determined to be a salesperson link type, and if it does not include a means of linking to a salesperson, it is determined to be a web-only type . A specific processing unit that further determines whether the website is an electronic commerce type or a non-electronic commerce type based on whether the website includes a shopping cart or a payment method , and identifies the type of the website, and an improvement of the website. The terminal device includes a storage unit that stores proposal information, and a proposal processing unit that reads improvement proposal information corresponding to the type of the website from the storage unit and outputs it to the terminal device. The website includes a transmitter that transmits the URL of the website to be analyzed to the analysis device, a receiver that receives improvement suggestion information from the website analysis device, and a display section that displays the improvement suggestion information.

According to the present invention, it is possible to provide a technique for classifying websites and making optimal improvement proposals from the viewpoint of improving SEO for each classified type.

1 is a configuration diagram of a website analysis system according to a first embodiment of the present invention. It is a block diagram of the website analysis device in the same system. It is a block diagram of the terminal device in the same system. It is a flowchart showing the processing procedure by the same system. It is a flowchart which shows the processing procedure of electronic commerce identification processing in detail. It is a flowchart which shows the processing procedure of non-electronic commerce identification processing in detail. It is a flowchart showing in detail the processing procedure of inter-company transaction identification processing. It is a flowchart showing in detail the processing procedure of business-to-consumer transaction identification processing. FIG. 2 is a conceptual diagram illustrating the classification of websites. It is a screen transition diagram.

Hereinafter, one embodiment of the present invention will be described with reference to the drawings.

FIG. 1 shows and describes the configuration of a website analysis system according to an embodiment of the present invention.

As shown in the figure, in the website analysis system, a website analysis device 1 and user terminal devices 2 (2A, 2B...) are connected wirelessly or by wire via a communication network 3 such as the Internet. . Furthermore, it may be connected to the website evaluation device 4. As the website analysis device 1, for example, a personal computer (PC), a server device, etc. can be adopted. As the terminal device 2, various devices such as a smartphone, a tablet terminal, a notebook PC, etc. can be adopted. The website evaluation device 4 provides information such as a conversion (CV) rate of a website.

In such a configuration, the user's terminal device 2 receives input of the URL (Uniform Resource Locator) of the website desired to be analyzed on the display screen, and sends the data of the URL to the website analysis device 1. . The website analysis device 1 accesses the received URL and acquires web page data of the accessed website. This web page data includes various types of data such as HTML (HyperText Markup Language) format data and image (still image, video) data.

The website analysis device 1 analyzes the acquired data. For example, for text data in HTML format, morphological analysis is performed to identify keywords and the like. Then, the website analysis device 1 specifies the type of the website to be analyzed based on the analysis result, and outputs improvement proposal information corresponding to the specified type. This improvement suggestion information is transmitted to the user's terminal device 2 and can be viewed on the terminal device 2.

FIG. 2 shows and describes the configuration of the website analysis device.

As shown in the figure, the website analysis device 1 includes a control section 11, a communication section 12, and a storage section 13. The control unit 11, communication unit 12, and storage unit 13 are communicably connected via a bus. In addition to these configurations, the device may also include an input unit such as a keyboard and a mouse, and a display unit such as a liquid crystal display for displaying various types of information.

The communication unit 12 is realized by, for example, a network interface card (NIC), etc., and is connected to a communication network 3 such as the Internet by wire or wirelessly, and communicates with the terminal device 2 etc. It is a communication interface.

The storage unit 13 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk drive (HDD), an optical disk device, etc. A program to be executed by the unit 11 is stored in advance. Furthermore, the storage unit 13 includes a user information storage unit 14 , a site information storage unit 15 , and an improvement suggestion information storage unit 16 .

The user information storage unit 14 stores attribute information such as the user's name, age, gender, e-mail address, password used when accessing the site, etc. in association with the user ID as a primary key. These are just examples, and various other information can be stored.

The site information storage unit 15 stores contents such as HTML text data and images obtained from web pages that constitute the linked website of the URL that has received a request for analysis from the user, using the user ID as the main key. are doing. This site information storage unit 15 further stores a reference table comparing keywords and classifications (rational type/sensitivity type) for determining rational type/sensitivity type, which will be described later.

The improvement proposal information storage 16 stores improvement proposal information corresponding to the website type using the type ID as a primary key.

The control unit 11 is realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. The control unit 11 may be configured with an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Array). Then, the control unit 11 reads and executes the program stored in the storage unit 13, so that the input processing unit 11a, the acquisition processing unit 11b, the analysis processing unit 11c, the specific processing unit 11d, the proposal processing unit 11e, and the transmission It functions as a section 11f, a receiving section 11g, and a generating section 11h.

More specifically, the receiving unit 11g receives, via the communication unit 12, data of a URL that specifies the analysis target sent from the user's terminal device 2. The input processing unit 11a receives and processes the input data of the URL of the website to be analyzed, which is transmitted from the user's terminal device 2. The acquisition processing unit 11b acquires data of a web page of a website. The analysis processing unit 11c analyzes web page data and obtains a keyword group.

The specific processing unit 11d determines whether the website is a web-only type or a salesperson link type, based on the keyword group, and if the website is a web-based type, it is determined whether the website is an electronic commerce (EC) type or a non-website type. Further determine whether it is an electronic commerce type. On the other hand, if the website is of the salesperson link type, it is further determined whether the website is of the business-to-business (BtoB) type or the business-to-consumer (BtoC) type. Then, the website is further subdivided into each of the web-complete type, salesperson link type, business-to-business transaction type, and business-to-consumer type, and the website type is specified.

More specifically, if the website is of the electronic commerce type, the specific processing unit 11d determines whether the website is of the rational type or not. Websites are subdivided based on the second viewpoint of whether they are related to malls or emotional malls.

In addition, if the website is of a non-electronic commerce type, the specific processing unit 11d determines whether the website mainly handles information about other companies or the company's own information, and whether the website Websites are subdivided based on the second viewpoint of whether or not there is a conversion for the purpose of sales promotion (CV).

Furthermore, if the website is of a business-to-business type, the specific processing unit 11d determines whether the website is for a major company or a company of any size, and the amount of knowledge of the customer of the website. The websites are subdivided based on the second viewpoint regarding the size of the website.

In addition, when the website is a business-to-consumer transaction type, the specific processing unit 11d determines from the first viewpoint whether the cost of the products handled by the website is high or low, and the information sensitivity of the website's customers. Websites are subdivided based on the second viewpoint of whether they are high or low.

In this way, the proposal processing section 11e reads out improvement proposal information corresponding to the type of website from the improvement proposal information storage section 16 of the storage section 13 and outputs it. The generation unit 11 converts this improvement proposal information into HTML data. Then, the transmitter 11f transmits the HTML data and the like related to this improvement proposal to the user's terminal device 2 via the communication unit 12.

FIG. 3 shows and describes the configuration of the terminal device.

As shown in the figure, the user's terminal device 2 includes a control section 21, a communication section 22, an operation section 23, a display section 24, and a storage section 25. Each section 21 to 25 is communicably connected via a bus. The communication unit 22 is realized by, for example, a NIC, and is a communication interface that is connected to the communication network 3 by wire or wirelessly and communicates with the website analysis device 1 and the like. The operation unit 23 is realized by a mouse, a keyboard, etc., and receives various operation inputs from the user. The display unit 24 is realized by a liquid crystal display or the like, and performs various displays. Note that the operation section 23 and the display section 24 may be integrally configured as a touch panel. The storage unit 25 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, an HDD, an optical disk device, etc., and stores a program to be executed by the control unit 21.

The control unit 21 is realized by a CPU, MPU, or the like. The control unit 11 may be configured with an integrated circuit such as ASIC or FPGA. The control unit 11 functions as a transmitting unit 21a, a receiving unit 21b, a viewing unit 21c, and a display control unit 21d by executing a program stored in the storage unit 25. The transmitting unit 21a transmits data such as the URL of the website to be analyzed, which is input on the display screen, to the website analysis device 1 via the communication unit 22. The receiving unit 21b receives improvement proposal information sent from the website analysis device 1 via the communication unit 22. The viewing section 21c implements a so-called browser function. Then, the display control unit 21d controls the display unit 24 to display a display based on the HTML data transmitted from the website analysis device 1.

Hereinafter, the processing procedure by the website analysis device will be explained in detail with reference to the flowchart in FIG. 4. This also corresponds to the web analysis method according to the embodiment.

When the process starts, the input processing unit 11a receives input data of the URL of the website to be analyzed transmitted from the user's terminal device 2, and processes it (S1). Subsequently, the acquisition processing unit 11b acquires the data of the web page of the website (S2). Then, the analysis processing unit 11c analyzes the web page data and obtains a keyword group, etc. (S3). The analysis processing unit 11c performs a morphological analysis of, for example, HTML data of a web page, and identifies a group of keywords that frequently appear in the web page. It also analyzes the attributes of image data included in web pages.

Next, the specific processing unit 11d determines whether the website is a web-complete type or a salesperson link type based on the obtained keyword group, images, etc. (S4). Whether or not the web page is of the salesperson link type is determined by, for example, whether the web page includes means for linking to a salesperson. If the link to the sales person is not included, it is determined that the content is web-complete.

Then, when the website is a web-complete type, the specific processing unit 11d further determines whether the website is an electronic commerce type or a non-electronic commerce type (S5). Whether or not it is an electronic commerce type is determined by, for example, whether the web page includes a shopping cart or a payment method. If a shopping cart or payment method is not included, it is determined that it is a non-electronic commerce type.

If it is determined in step S5 that the website is an electronic commerce type, the identification processing unit 11d executes an EC identification process, which will be described in detail later, to subdivide the website type (S6). On the other hand, if it is determined in S5 that the website is of a non-electronic commerce type, the specific processing unit 11d executes a non-EC specific process, which will be described in detail later, and subdivides the website type (S7). .

On the other hand, if the website is of the salesperson link type, the specific processing unit 11d further determines whether the website is of the business-to-business transaction type or the business-to-consumer transaction type (S8). If it is determined in step S8 that the website is a business-to-business transaction type, the identification processing unit 11d executes BtoB identification processing, which will be described in detail later, to subdivide the website type (S9). On the other hand, if it is determined in step S8 that it is a business-to-consumer transaction type, the identification processing unit 11d executes BtoC identification processing, which will be described in detail later, and further classifies the website type ( S10).

In this manner, in steps S4 to S10, the specific processing unit 11d further subcategorizes the website into each of the web-based type, salesperson link type, business-to-business transaction type, and business-to-consumer type, and Identify the type of site.

That is, in the EC identification process, the identification processing unit 11d determines from the first viewpoint whether the website is related to general mail order or single item mail order, and whether the website is related to rational mall or emotional mall. Websites are subdivided based on the second viewpoint of what they are. In addition, in the non-EC identification process, the identification processing unit 11d determines from the first viewpoint whether the website mainly deals with other companies' information or the company's own information, and whether the website has conversions for promotional purposes. Websites are subdivided based on the second viewpoint of whether or not they are. Furthermore, in the BtoB identification process, the identification processing unit 11d determines whether the website is for a major company or a company of any size, if the website is of a business-to-business type, and the website The websites are subdivided based on the second viewpoint regarding the amount of knowledge of the customers. In addition, in the BtoC identification process, the identification processing unit 11d takes into account the first viewpoint of whether the cost of the product handled by the website is high or small, and the second viewpoint of whether the information sensitivity of the website's customers is high or low. Subdivide your website based on. These details will be explained later with reference to FIGS. 5 to 8.

Next, the generation unit 11h generates HTML data presenting the type of the specified website, and the transmission unit 11f transmits it to the user's terminal device 2 (S11). Subsequently, the proposal processing unit 11e determines whether or not the improvement proposal request is selected (S12), and if the improvement proposal request is not selected, the process ends. On the other hand, when the improvement proposal request is selected, the proposal processing section 11e reads improvement proposal information corresponding to the specified model from the improvement proposal information storage section 16, and the generation section 11h generates HTML data. , the transmitter 11f transmits to the user's terminal device 2 via the communication unit 12 (S13), and the series of processing ends.

Here, FIG. 5 shows and describes in detail the processing procedure of the electronic commerce (EC) type identification process executed in step S6 of FIG. 4.

When entering this e-commerce type identification process, the identification processing unit 11d determines whether the website to be analyzed is related to general mail order or single item mail order (S21). Whether it is general mail order or single item mail order can be determined based on, for example, whether the number of products available on the website exceeds a predetermined threshold.

If the specific processing unit 11d determines that the item is related to general mail order, it determines whether sales at physical stores are large or small (S22). Whether this amount is large or small may be determined in relation to a predetermined threshold value.

If the specific processing unit 11d determines that the sales of the physical store are large, the specific processing unit 11d determines whether the website is a rational type or an emotional type (S23). Whether a person is a rational type or an emotional type can be determined by comparing keywords that frequently appear on websites with keywords that are stored in the site information storage unit 15 and are previously associated with a rational type/an emotional type.

When the identification processing unit 11d determines that the person is of the rational type, it specifies the website as being related to the rational type store collaboration mall (S24), and when it is determined that the person is of the emotional type, the identification processing unit 11d identifies the website as being related to the rational type store cooperation mall (S24). It is identified that it is related to a type store cooperative mall (S25), and the process returns.

On the other hand, if the specific processing unit 11d determines in step S22 that the sales at the physical store are low, it determines whether the website is rational or emotional (S26). When the identification processing unit 11d determines that the person is of the rational type, it identifies the website as related to the rational type mall (S27), and when it determines that the person is of the emotional type, the identification processing unit 11d identifies the website as related to the emotional type mall. (S28), and returns.

On the other hand, in step S21, if the specific processing unit 11d determines that the website is related to mail-order sales of single items, it determines whether the website is of the rational type or the emotional type (S29). When the identification processing unit 11d determines that the person is of the rational type, it identifies the website as related to the rational type of single item mail order (S30), and when it determines that the person is of the emotional type, the identification processing unit 11d identifies the website as being of the emotional type. It is identified that it is related to single item mail order (S31), and the process returns.

Next, FIG. 6 shows and describes in detail the processing procedure of the non-electronic commerce (EC) type identification process executed in step S7 of FIG. 4.

When entering this non-electronic commerce type identification processing, the identification processing unit 11d determines whether the information posted on the website to be analyzed is centered on information about other companies or information about the company itself (S41). Regarding whether the information is centered on other companies' information or the company's own, identify the company's name etc. from keywords extracted from the website to be analyzed, and determine whether information related to the company's name accounts for a large proportion, or information other than the company's own company accounts for a large proportion. Judgment can be made based on whether the

In step S41, if the specific processing unit 11d determines that the published information is mainly about other companies' information, it determines whether there is conversion for the purpose of sales promotion (S42). Information on conversions can be obtained from external website evaluation devices. If it is determined that there is no conversion for promotional purposes, the website is identified as related to article media (S43), and if it is determined that there is conversion for promotional purposes, the website is identified as related to the product introduction portal. It is identified as the object (S44), and the process returns.

On the other hand, if the specific processing unit 11d determines in step S41 that the posted information is mainly company information, it determines whether there is a conversion for the purpose of sales promotion (S45). If it is determined that there are no conversions for promotional purposes, the website is identified as a public relations/brand site (S46), and if it is determined that there are conversions for promotional purposes, the website is identified as a contract application site. (S47) and returns.

FIG. 7 shows and describes in detail the processing procedure of the business-to-business (BtoB) type identification process executed in step S9 of FIG. 4.

When entering the inter-company transaction type identification process, the identification processing unit 11d determines whether the website to be analyzed is centered on major companies or is independent of company size (S51).

In step S51, if the identification processing unit 11d determines that the target customers are mainly major companies, it determines whether the target customer has a large or small amount of knowledge (S52). To determine whether a customer has a large or small amount of knowledge, for example, the site information storage unit 15 stores keywords, their categories, and information regarding the customer's amount of knowledge. The determination can be made by comparing the extracted keywords with the keywords in the site information storage unit 15.

If the identification processing unit 11d determines that the customer has a small amount of knowledge, it identifies the website as related to large-scale solutions (S53), and if it determines that the customer has a large amount of knowledge, it identifies the website as being related to large-scale solutions (S53). The site is identified as being related to large-scale specialized products (S54), and the process returns.

On the other hand, in step S51, if the identification processing unit 11d determines that the company size does not matter, it determines whether the target customer has a large or small amount of knowledge (S55), and determines whether the customer has a small amount of knowledge. If it is determined that the website is related to solutions for corporations (S56), and if it is determined that the customer has a large amount of knowledge, the website is identified as being related to specialized products for corporations (S57). ), return.

FIG. 8 shows and explains the processing procedure of business-to-consumer transaction (BtoC) type identification processing in detail.

When entering the business-to-consumer type identification process, the identification processing unit 11d determines whether the cost of the website to be analyzed is high or low (S61). For example, it is possible to determine whether the cost is high or low by specifying the amount based on cost-related keywords extracted from websites as an analysis target and comparing it with a predetermined threshold.

In step S61, if the identification processing unit 11d determines that the cost of the handled product is expensive, it determines whether the target customer's information sensitivity is high or low (S62). Regarding information sensitivity, for example, keywords, their categories, and information regarding the level of information sensitivity are stored in association with each other in the site information storage unit 15, and the keywords extracted from the website to be analyzed are stored in the site information storage unit 15. Judgment will be made by comparing 15 keywords.

Then, if the identification processing unit 11d determines that the customer's information sensitivity is low, it identifies the website as related to urgent proposal products (S63), and if it determines that the customer's information sensitivity is high, , the website is identified as being related to urgent store merchandise (S64), and the process returns.

On the other hand, in the above step S61, when the identification processing unit 11d determines that the cost of the handled product is small, it determines whether the information sensitivity of the target customer is high or low (S65). If it is determined that the customer's information sensitivity is low, the website is identified as related to specialty store products (S66), and if it is determined that the customer's information sensitivity is high, the website is identified as being related to specialty store products (S66). It is specified that the item is related to store merchandise (S67), and the process returns.

The classification of websites will be described in more detail below with reference to FIG.

Through the processes of steps S4 to S10 in FIG. 4 described above, the websites to be analyzed are classified into 18 types in this embodiment.

A "rational store collaboration mall" is an e-commerce site that sells a large number of rationally selected products, such as home appliances and books, and has a large number of physical stores, which generates sales through mutual customer referrals with e-commerce. This is a website that allows you to maximize your

An "emotional store cooperation mall" is an e-commerce site that sells a large number of products that are sensually selected, such as fashion and gourmet food. This is a website that allows you to maximize your

A "rational mall" is an e-commerce site that sells a large number of products that are rationally selected, such as home appliances and books, and has few physical stores or sales at physical stores, and has no interaction with e-commerce. This is a website with little synergy in customer referrals.

An "emotional mall" is an e-commerce site that sells a large number of products that are emotionally selected, such as fashion and gourmet food. This is a website with little synergy in customer referrals.

``Rational single-item mail order'' is a website that aims at regular purchases of products that are rationally selected based on differences in performance, such as health foods and cosmetics.

``Emotional single item mail order'' is a website that aims at regular purchases of products that are selected based on sensibility, such as fashion or gourmet food.

"Article media" is a website related to article-based media that publishes a wide range of news, commentary, special features, etc. This includes media sites that collect and disseminate a wide range of information desired by their targets.

A "product introduction portal" is a portal site that introduces products from various companies and supports lead acquisition. This includes portal sites that facilitate comparison studies by handling a variety of products from multiple companies.

A "public relations/brand site" is a website for the purpose of publicizing and branding a company or its products.

A "contract application site" is a website where a company can contract and apply for its own products and services. Since the products handled are limited to information about the company's own products, the website can be established with just the LP and form.

"Large-scale solutions" are BtoB product sites that are centered around large companies and have little customer knowledge. This category includes websites that sell products that customers cannot choose on their own because of their limited knowledge.

"Large-scale specialty products" are BtoB product sites that are centered around large companies and whose customers have a large amount of knowledge. This is a website that handles highly specialized products such as industrial parts, materials, and chemicals, and because customers also have a wealth of knowledge about the products, they can make their own selections.

"Corporate solutions" are BtoB product sites for which customers have little knowledge, regardless of company size. This category includes websites that sell products that customers cannot choose on their own because of their limited knowledge.

"Specialized products for corporations" are BtoB product sites where customers have a large amount of knowledge, regardless of company size. This is a website that handles highly specialized products such as industrial parts, materials, and chemicals, and because customers also have a wealth of knowledge about the products, they can make their own selections.

"Urgent proposal products" is a website that obtains leads for high-priced products that are only considered for the first time in urgent situations. This includes websites dealing in products such as insurance, home loans, hair removal, universities, automobiles, cram schools, etc., which many customers are not usually interested in and only start considering when urgent.

"Special Proposal Products" is a website that obtains leads for high-priced products that people are interested in and consider on a daily basis. For example, websites dealing with products such as real estate purchases, job changes, travel, weddings, investments, etc. fall under this category.

"Urgent Store Products" is a website that sends customers to stores with low-priced products that are only considered in times of crisis. This includes websites dealing with products for hospitals, convenience stores, supermarkets, cleaning services, etc., which many customers are not usually interested in and only start considering when urgent.

``Special store merchandise'' is a website that sends customers to stores that sell low-priced merchandise that customers are interested in and consider on a daily basis. For example, this includes websites that sell products for gourmet restaurants, beauty salons, beauty salons, massage shops, etc.

FIG. 10 shows an example of a screen display on the user's terminal device 2 and will be described.

In the terminal device 2, when the URL of the website for which analysis is desired is entered in the area 100a of the screen 100 shown in FIG. is sent. Thereafter, the website analysis device 1 performs the above-described specific processing, and the terminal device 2 screen 100 is switched to a screen 101 as shown in FIG. 10(b).

On screen 101, the type of the specified website is presented. When the "improvement proposal request" button 101a is selected on this screen 101, a request for an improvement proposal is made to the website analysis device 1. Thereafter, the website analysis device 1 performs the above-described proposal processing, and the terminal device 2 displays the screen 102 shown in FIG. 10(c). This screen 102 presents improvement proposals that match the website type.

As explained above, according to the embodiment of the present invention, it is possible to subdivide the website to be analyzed into 18 types and make optimal improvement proposals from the perspective of improving SEO etc. for each classified type. It becomes possible. In other words, it is possible to suggest a so-called "winning pattern" for the website.

Although the embodiments of the present invention have been described above, the present invention is not limited thereto, and it goes without saying that various improvements and changes can be made without departing from the spirit thereof.

For example, the 18 types (classifications) mentioned above are just a series, and it is possible to further subdivide the types of websites to be analyzed by adding a third perspective to each specific process. Of course.

DESCRIPTION OF SYMBOLS 1... Website analysis device, 2A, 2B... Terminal device, 3... Communication network, 11... Control section, 11a... Input processing section, 11b... Acquisition processing section, 11c... Analysis processing section, 11d... Specific processing section, 11e... Proposal processing section, 11f... Transmission section, 11g... Receiving section, 11h... Generation section, 12... Communication section, 13... Storage section, 14... User information storage section, 15... Site information storage section, 16... Improvement suggestion information storage section , 21...control section, 21a...transmission section, 21b...reception section, 21c...viewing section, 21d...display control section, 22...communication section, 23...operation section, 24...display section, 25...storage section.

Claims (4)

an acquisition processing unit that acquires data on web pages of a website;
an analysis processing unit that analyzes the data of the web page and obtains a keyword group;
Based on the keyword group , if the web page includes a link to a salesperson, it is determined to be a salesperson link type, and if it does not include a link to a salesperson, the web page is determined to be a salesperson link type. is determined to be web-based, and if it is web-based, it is further determined whether it is an e-commerce type or a non-e-commerce type depending on whether the web page includes a shopping cart or a payment method. and a specific processing unit that specifies the type of the website;
a storage unit that stores improvement suggestion information for the website;
a proposal processing unit that reads and outputs improvement proposal information corresponding to the type of website from the storage unit;
A website analysis device with. a step in which the acquisition processing unit acquires data of a web page of the website;
an analysis processing unit analyzing data of the web page to obtain a keyword group;
Based on the keyword group, the specific processing unit determines that the web page is of the sales person link type if the web page includes a means for linking to a sales person, and determines that the web page includes a means for linking to a sales person. If the web page does not contain a shopping cart or a payment method, it is considered to be a web-based type of web-based commerce. further determining the type of website and identifying the type of the website;
a step in which the proposal processing unit reads and outputs improvement proposal information corresponding to the type of website from the storage unit;
A website analysis method with computer,
an acquisition processing unit that acquires data on web pages of a website;
an analysis processing unit that analyzes the data of the web page and obtains a keyword group;
Based on the keyword group , if the web page includes a link to a salesperson, it is determined to be a salesperson link type, and if it does not include a link to a salesperson, the web page is determined to be a salesperson link type. is determined to be web-based, and if it is web-based, it is further determined whether it is an e-commerce type or a non-e-commerce type depending on whether the web page includes a shopping cart or a payment method. and a specific processing unit that specifies the type of the website;
A program that functions as a proposal processing unit that reads and outputs improvement proposal information corresponding to the type of website from a storage unit. A system comprising a website analysis device and a user terminal device,
The website analysis device includes:
an acquisition processing unit that acquires data of a web page of a website specified by a URL;
an analysis processing unit that analyzes the data of the web page and obtains a keyword group;
Based on the keyword group , if the web page includes a link to a salesperson, it is determined to be a salesperson link type, and if it does not include a link to a salesperson, the web page is determined to be a salesperson link type. is determined to be web-based, and if it is web-based, it is further determined whether it is an e-commerce type or a non-e-commerce type depending on whether the web page includes a shopping cart or a payment method. and a specific processing unit that specifies the type of the website;
a storage unit that stores improvement suggestion information for the website;
a proposal processing unit that reads improvement proposal information corresponding to the type of website from the storage unit and outputs it to the terminal device;
The terminal device is
a transmitter that transmits the URL of the website to be analyzed to the website analysis device;
a receiving unit that receives improvement proposal information from the website analysis device;
A website analysis system, comprising: a display unit that displays the improvement suggestion information.

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