Website data monitoring method, system and equipment and storage medium

Abstract

The invention discloses a website data monitoring method, system and device and a storage medium. The method comprises the following steps: acquiring content distribution of website data, and dividing a key monitoring page and a common monitoring page according to the content distribution; respectively setting monitoring indexes of the key monitoring page and the common monitoring page, and collecting user access parameters according to the monitoring indexes; determining audience characteristics and flow characteristics of the website data according to the user access parameters, and determining an optimization strategy based on the audience characteristics and the flow characteristics; and carrying out content optimization on the website data according to the optimization strategy, adjusting the monitoring index according to an optimization result, and carrying out subsequent monitoring. According to the method, the page with high popularity can be emphatically monitored, meanwhile, the page with low popularity can be effectively monitored, the monitoring efficiency is improved, meanwhile, manual flow statistics is not needed, and the labor cost is saved.

Description

Technical Field

[0001] The present invention relates to the field of data monitoring technology, and in particular to a website data monitoring method, system, device and storage medium. Background Art

[0002] At present, with the continuous development of Internet technology, various network applications emerge in an endless stream, providing convenience for users to surf the Internet, and the Internet has become an indispensable part of people's lives. At the same time, various Internet data have also grown explosively. Under the situation of the continuous growth of Internet data, by monitoring the website traffic data, it is convenient for website managers to understand the website's access situation in real time and make corresponding marketing strategies. Here, website traffic refers to the number of visits to a website, which is used to describe the number of users who visit a website and the number of web pages browsed by users. Usually, in order to improve the browsing of the website, the website party will put information on the corresponding media. After the user browses the information put, he jumps to the website party through the corresponding media, clicks, browses and converts, thereby increasing the website traffic. The existing website data monitoring methods are all summed up by manually counting the user's website browsing situation in the background and then making adaptive adjustments to the website content and marketing strategies. It not only wastes a lot of manpower costs, but also invests the same monitoring cost for the low-heat page content, resulting in reduced monitoring efficiency, and cannot quickly and targetedly optimize the website content, reducing practicality and reliability. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides a website data monitoring method, system, device and storage medium to solve the problem mentioned in the background technology that manual traffic statistics not only wastes a lot of manpower costs, but also invests the same monitoring cost into low-popularity page content, resulting in reduced monitoring efficiency, and cannot quickly and specifically optimize the website content, thereby reducing practicality and reliability.

[0004] A website data monitoring method comprises the following steps:

[0005] Obtain the content distribution of website data, and divide the pages into key monitoring pages and ordinary monitoring pages according to the content distribution;

[0006] Set monitoring indicators for key monitoring pages and common monitoring pages respectively, and collect user access parameters based on the monitoring indicators;

[0007] Determine the audience characteristics and traffic characteristics of website data based on user access parameters, and determine optimization strategies based on the audience characteristics and traffic characteristics;

[0008] Optimize website data content according to optimization strategies, adjust monitoring indicators based on optimization results and conduct subsequent monitoring.

[0009] Preferably, the obtaining of content distribution of website data and dividing key monitoring pages and common monitoring pages according to content distribution include:

[0010] Obtain the page data distribution of the website through relevant web links, and perform keyword extraction on the distribution data of each page;

[0011] Determine the relevant mapping heat factors and the keyword occurrence frequency of the extracted keywords of each page, and determine the content distribution heat map of each page according to the relevant mapping heat factors and the keyword occurrence frequency;

[0012] Determine the data characteristics of the distribution data of each page, and determine the content characteristics of each page based on the data characteristics;

[0013] Based on the content characteristics of each page and the content distribution heat map, the website pages are divided into key monitoring pages and ordinary monitoring pages.

[0014] Preferably, the monitoring indicators of the key monitoring pages and the common monitoring pages are respectively set, and the user access parameters are collected according to the monitoring indicators, including:

[0015] The business characteristics of the key monitoring page and the common monitoring page are obtained respectively, and the monitoring flow index and monitoring behavior index of the key monitoring page and the common monitoring page are set according to the business characteristics;

[0016] Determine the data monitoring items for key monitoring pages and common monitoring pages based on monitoring traffic indicators and monitoring behavior indicators;

[0017] Determine the mapping relationship between data monitoring items and monitoring flow indicators and monitoring behavior indicators, and determine data collection parameters based on the mapping relationship;

[0018] Collect the user's access parameters to the web page data based on the data collection parameters.

[0019] Preferably, the monitoring traffic indicators of the key monitoring pages include: daily active users, daily visits, monthly active users, monthly visits, ratio of new and old users, geographical distribution of visitors and number of independent visitors, and the monitoring traffic indicators of the common monitoring pages include: daily visits, monthly visits and page views;

[0020] The monitoring behavior indicators of the key monitoring pages include: page dwell time, page click rate, page bounce rate and business conversion rate, and the monitoring behavior indicators of the common monitoring pages include: page dwell time.

[0021] Preferably, determining the audience characteristics and flow characteristics of the website data according to the user access parameters, and determining the optimization strategy based on the audience characteristics and flow characteristics, includes:

[0022] Determine the user's access device model and access browser or platform parameters based on the user's access parameters, and determine the audience attributes based on the access device model and access browser or platform parameters;

[0023] Determine the per capita behavior parameters of each key monitoring page and common monitoring page based on the user access parameters, and determine the audience heat factor of each key monitoring page and common monitoring page based on the per capita behavior parameters;

[0024] Determine the audience characteristics of website data based on audience population attributes and audience heat factors, obtain the user's key focus area distribution based on user access parameters, and build a page statistics flow change curve based on the key focus area distribution and the website's initial page distribution;

[0025] Determine the traffic characteristics of website data based on the page statistics traffic change curve, and determine the content promotion optimization strategy and content distribution optimization strategy based on the traffic characteristics and audience characteristics.

[0026] Preferably, the content optimization of the website data according to the optimization strategy, adjusting the monitoring indicators according to the optimization results and performing subsequent monitoring include:

[0027] Determine the pages to be retained and deleted according to the optimization strategy, and optimize the website data based on the pages to be retained and deleted;

[0028] Obtain new website display data based on optimization results, and adjust monitoring indicators based on traffic preferences and new display data;

[0029] Follow-up monitoring of the website's new display data is carried out through the adjusted monitoring indicators.

[0030] Preferably, the method further comprises:

[0031] Conduct multivariate testing on website data and determine the traffic performance of website data in different versions based on the test results;

[0032] Determine the best display version based on the traffic performance of different versions of the website data;

[0033] Obtain the operation data and usage data of the website data, and evaluate the compatibility and quality of the website based on the operation data and usage data;

[0034] Optimize website programming parameters based on compatibility and quality, and optimize marketing strategies based on traffic characteristics. 8. A website data monitoring system, the system includes:

[0035] A division module is used to obtain the content distribution of website data and divide key monitoring pages and common monitoring pages according to the content distribution;

[0036] The collection module is used to set the monitoring indicators of key monitoring pages and common monitoring pages respectively, and collect user access parameters according to the monitoring indicators;

[0037] A determination module, used to determine the audience characteristics and flow characteristics of website data according to user access parameters, and determine an optimization strategy based on the audience characteristics and flow characteristics;

[0038] The optimization module is used to optimize the content of website data according to the optimization strategy, adjust the monitoring indicators according to the optimization results and perform subsequent monitoring.

[0039] A website data monitoring device is applicable to the color management method of the above-mentioned LED display screen.

[0040] A color management storage medium for an LED display screen is applicable to the color management method for the LED display screen.

[0041] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0042] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0044] Figure 1 A workflow diagram of a website data monitoring method provided by the present invention;

[0045] Figure 2 Another work flow chart of a website data monitoring method provided by the present invention;

[0046] Figure 3 This is a structural schematic diagram of a website data monitoring system provided by the present invention. DETAILED DESCRIPTION

[0047] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Instead, they are merely examples of systems and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0048] At present, with the continuous development of Internet technology, various network applications emerge in an endless stream, providing convenience for users to surf the Internet, and the Internet has become an indispensable part of people's lives. At the same time, various Internet data have also exploded. Under the situation of continuous growth of Internet data, by monitoring website traffic data, it is convenient for website managers to understand the access situation of the website in real time and make corresponding marketing strategies. The website traffic here refers to the number of visits to the website, which is used to describe the number of users who visit a website and the number of web pages browsed by users. In general, in order to improve the browsing of the website, the website party will put information on the corresponding media. After the user browses the information put, the user jumps to the website party through the corresponding media to click, browse and convert, thereby increasing the website traffic. The existing website data monitoring method is to summarize the website browsing situation of the user manually in the background and then make adaptive adjustments to the website content and marketing strategy. It not only wastes a lot of manpower costs, but also invests the same monitoring cost for the page content with low popularity, resulting in reduced monitoring efficiency, and cannot quickly and targetedly optimize the website content, which reduces practicality and reliability. In order to solve the above problems, this embodiment discloses a website data monitoring method based on page division and website analysis tool collaboration.

[0049] A website data monitoring method, such as Figure 1 As shown, the following steps are included:

[0050] Step S101, obtaining content distribution of website data, and dividing key monitoring pages and common monitoring pages according to the content distribution;

[0051] Step S102: setting monitoring indicators for key monitoring pages and common monitoring pages respectively, and collecting user access parameters according to the monitoring indicators;

[0052] Step S103, determining the audience characteristics and flow characteristics of the website data according to the user access parameters, and determining the optimization strategy based on the audience characteristics and flow characteristics;

[0053] Step S104: Optimize the website data content according to the optimization strategy, adjust the monitoring indicators according to the optimization results and perform subsequent monitoring.

[0054] In this embodiment, the monitoring indicators are represented as statistical traffic monitoring indicators for key monitoring and common monitoring pages respectively;

[0055] In this embodiment, the tool is used to collect user access parameters through website analysis.

[0056] The working principle of the above technical solution is: obtain the content distribution of website data, and divide the key monitoring pages and ordinary monitoring pages according to the content distribution; set the monitoring indicators of the key monitoring pages and ordinary monitoring pages respectively, and collect user access parameters according to the monitoring indicators; determine the audience characteristics and traffic characteristics of the website data according to the user access parameters, and determine the optimization strategy based on the audience characteristics and traffic characteristics; optimize the content of the website data according to the optimization strategy, adjust the monitoring indicators according to the optimization results and conduct subsequent monitoring.

[0057] The beneficial effects of the above technical solution are as follows: by dividing the website pages and setting the monitoring indicators, it is possible to focus on monitoring the pages with high popularity while ensuring effective monitoring of the pages with low popularity, thereby improving the monitoring efficiency. At the same time, there is no need for manual traffic statistics, saving labor costs. Furthermore, by determining the audience characteristics and traffic characteristics of the website and then determining the optimization strategy to optimize the website content, the content of pages with low traffic can be targetedly removed or modified to increase the website traffic and exposure, thereby improving practicality. It solves the problem mentioned in the prior art that manual traffic statistics not only waste a lot of manpower costs, but also invest the same monitoring cost in the content of pages with low popularity, resulting in reduced monitoring efficiency, and the inability to quickly and targetedly optimize the website content, thereby reducing practicality and reliability.

[0058] In one embodiment, Figure 2 As shown, the content distribution of the website data is obtained, and the key monitoring pages and the common monitoring pages are divided according to the content distribution, including:

[0059] Step S201, obtaining the page data distribution of the website through relevant web page links, and performing keyword extraction on the distribution data of each page;

[0060] Step S202: determining the relevant mapping heat factors and the keyword occurrence frequency of the extracted keywords of each page, and determining the content distribution heat map of each page according to the relevant mapping heat factors and the keyword occurrence frequency;

[0061] Step S203, determining data features of the distribution data of each page, and determining content features of each page according to the data features;

[0062] Step S204: Divide the website pages into key monitoring pages and common monitoring pages based on the content characteristics of each page and the content distribution heat map.

[0063] In this embodiment, the relevant mapping heat factor is represented by the heat factor of the keyword's related topics on each platform;

[0064] In this embodiment, the data feature is represented by the data representation feature of the distribution data of each page, such as text and images;

[0065] In this embodiment, the content hotspot represents the content attribute characteristics of the displayed content of each page.

[0066] The beneficial effects of the above technical solution are: by evaluating the popularity of each page, it is possible to evaluate the pages with high popularity and the pages with low popularity, thereby laying a reference condition for the subsequent division of monitored pages, thereby improving practicality. Furthermore, by comprehensively dividing the pages according to the page data characteristics and the content distribution heat map, the page division can be performed by referring to both the content attributes and the network popularity attributes, thereby ensuring the accuracy, objectivity and reliability of the division results.

[0067] In one embodiment, the steps of respectively setting monitoring indicators for key monitoring pages and common monitoring pages and collecting user access parameters according to the monitoring indicators include:

[0068] The business characteristics of the key monitoring page and the common monitoring page are obtained respectively, and the monitoring flow index and monitoring behavior index of the key monitoring page and the common monitoring page are set according to the business characteristics;

[0069] Determine the data monitoring items for key monitoring pages and common monitoring pages based on monitoring traffic indicators and monitoring behavior indicators;

[0070] Determine the mapping relationship between data monitoring items and monitoring flow indicators and monitoring behavior indicators, and determine data collection parameters based on the mapping relationship;

[0071] Collect the user's access parameters to the web page data based on the data collection parameters.

[0072] The beneficial effect of the above technical solution is: by setting monitoring traffic indicators and monitoring behavior indicators according to business characteristics, the specific collection indicators and data collection parameters for user access can be accurately determined based on the website operation business, ensuring the comprehensiveness and stability of website traffic evaluation.

[0073] In one embodiment, the monitoring traffic indicators of the key monitoring pages include: daily active users, daily visits, monthly active users, monthly visits, new and old user ratios, geographical distribution of visitors, and number of independent visitors; the monitoring traffic indicators of the common monitoring pages include: daily visits, monthly visits, and page views;

[0074] The monitoring behavior indicators of the key monitoring pages include: page dwell time, page click rate, page bounce rate and business conversion rate, and the monitoring behavior indicators of the common monitoring pages include: page dwell time.

[0075] In one embodiment, determining the audience characteristics and flow characteristics of website data according to the user access parameters, and determining the optimization strategy based on the audience characteristics and flow characteristics, includes:

[0076] Determine the user's access device model and access browser or platform parameters based on the user's access parameters, and determine the audience attributes based on the access device model and access browser or platform parameters;

[0077] Determine the per capita behavior parameters of each key monitoring page and common monitoring page based on the user access parameters, and determine the audience heat factor of each key monitoring page and common monitoring page based on the per capita behavior parameters;

[0078] Determine the audience characteristics of website data based on audience population attributes and audience heat factors, obtain the user's key focus area distribution based on user access parameters, and build a page statistics flow change curve based on the key focus area distribution and the website's initial page distribution;

[0079] Determine the traffic characteristics of website data based on the page statistics traffic change curve, and determine the content promotion optimization strategy and content distribution optimization strategy based on the traffic characteristics and audience characteristics.

[0080] The beneficial effects of the above technical solution are: determining the audience population attributes according to the user access parameters, and at the same time, determining the audience heat factor of each key monitoring page and ordinary monitoring page according to the per capita behavior parameters, obtaining the user's key focus area distribution, and constructing a page statistical traffic change curve to determine the traffic characteristics of the website data, thereby obtaining content promotion optimization strategies and content distribution optimization strategies, which can more accurately locate the target user group and user platform, and carry out more accurate promotion. At the same time, the website content is deeply optimized to better meet the user's needs and browsing experience, further improving practicality.

[0081] In one embodiment, optimizing the content of the website data according to the optimization strategy, adjusting the monitoring indicators according to the optimization results and performing subsequent monitoring include:

[0082] Determine the pages to be retained and deleted according to the optimization strategy, and optimize the website data based on the pages to be retained and deleted;

[0083] Obtain new website display data based on optimization results, and adjust monitoring indicators based on traffic preferences and new display data;

[0084] Follow-up monitoring of the website's new display data is carried out through the adjusted monitoring indicators.

[0085] The beneficial effects of the above technical solution are: optimizing website data according to the optimization strategy, obtaining the new display data of the website to adjust the monitoring indicators, and subsequently monitoring the new display data of the website, so as to more accurately understand the user behavior and access of the website. At the same time, it can better measure the performance and effect of the website, thereby optimizing the search engine.

[0086] In one embodiment, the method further comprises:

[0087] Conduct multivariate testing on website data and determine the traffic performance of website data in different versions based on the test results;

[0088] Determine the best display version based on the traffic performance of different versions of the website data;

[0089] Obtain the operation data and usage data of the website data, and evaluate the compatibility and quality of the website based on the operation data and usage data;

[0090] Optimize website programming parameters based on compatibility and quality, and optimize marketing strategies based on traffic characteristics.

[0091] The beneficial effects of the above technical solution are: determining the traffic performance of website data in different versions based on the multivariate test results of website data, and determining the best display version, which can more accurately evaluate the performance of each version, and further, evaluate the compatibility and quality of the website through the operation data and usage data of the website data, optimize the website programming parameters, improve user experience, reduce errors and loading time, while reducing costs and increasing website value, so that the optimized website will have higher reliability and performance, and can better adapt to various devices and browsers.

[0092] In one embodiment, this embodiment also discloses a website data monitoring system, such as Figure 3 As shown, the system includes:

[0093] The division module 301 is used to obtain the content distribution of the website data and divide the key monitoring pages and the common monitoring pages according to the content distribution;

[0094] The collection module 302 is used to set monitoring indicators for key monitoring pages and common monitoring pages respectively, and collect user access parameters according to the monitoring indicators;

[0095] Determination module 303, used to determine audience characteristics and flow characteristics of website data according to user access parameters, and determine optimization strategies based on the audience characteristics and flow characteristics;

[0096] The optimization module 304 is used to optimize the content of the website data according to the optimization strategy, adjust the monitoring indicators according to the optimization results and perform subsequent monitoring.

[0097] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0098] In one embodiment, this embodiment further discloses a website data monitoring device, which is applicable to the color management method of the LED display screen described in the above embodiment.

[0099] In one embodiment, this embodiment further discloses a color management storage medium for an LED display screen, which is applicable to the color management method for an LED display screen described in the above embodiment.

[0100] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0101] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A website data monitoring method, It is characterized in that The following steps are involved: Obtain the content distribution of website data, and divide the pages into key monitoring pages and ordinary monitoring pages according to the content distribution; Set monitoring indicators for key monitoring pages and common monitoring pages respectively, and collect user access parameters based on the monitoring indicators; Determine the audience characteristics and traffic characteristics of website data based on user access parameters, and determine optimization strategies based on the audience characteristics and traffic characteristics; Optimize website data content according to optimization strategies, adjust monitoring indicators based on optimization results and conduct subsequent monitoring.

2. According to the website data monitoring method of claim 1, It is characterized in that The obtaining of content distribution of website data and dividing key monitoring pages and common monitoring pages according to the content distribution include: Obtain the page data distribution of the website through relevant web links, and perform keyword extraction on the distribution data of each page; Determine the relevant mapping heat factors and the keyword occurrence frequency of the extracted keywords of each page, and determine the content distribution heat map of each page according to the relevant mapping heat factors and the keyword occurrence frequency; Determine the data characteristics of the distribution data of each page, and determine the content characteristics of each page based on the data characteristics; Based on the content characteristics of each page and the content distribution heat map, the website pages are divided into key monitoring pages and ordinary monitoring pages.

3. According to the website data monitoring method of claim 1, It is characterized in that The monitoring indicators of the key monitoring pages and the common monitoring pages are respectively set, and the user access parameters are collected according to the monitoring indicators, including: The business characteristics of the key monitoring page and the common monitoring page are obtained respectively, and the monitoring flow index and monitoring behavior index of the key monitoring page and the common monitoring page are set according to the business characteristics; Determine the data monitoring items for key monitoring pages and common monitoring pages based on monitoring traffic indicators and monitoring behavior indicators; Determine the mapping relationship between data monitoring items and monitoring flow indicators and monitoring behavior indicators, and determine data collection parameters based on the mapping relationship; Collect the user's access parameters to the web page data based on the data collection parameters.

4. According to the website data monitoring method of claim 3, It is characterized in that The monitoring traffic indicators of the key monitoring pages include: daily active users, daily visits, monthly active users, monthly visits, ratio of new and old users, geographical distribution of visitors and number of independent visitors; the monitoring traffic indicators of the common monitoring pages include: daily visits, monthly visits and page views; The monitoring behavior indicators of the key monitoring pages include: page dwell time, page click rate, page bounce rate and business conversion rate, and the monitoring behavior indicators of the common monitoring pages include: page dwell time.

5. According to the website data monitoring method of claim 1, It is characterized in that Determining the audience characteristics and flow characteristics of website data according to user access parameters, and determining the optimization strategy based on the audience characteristics and flow characteristics, includes: Determine the user's access device model and access browser or platform parameters based on the user's access parameters, and determine the audience attributes based on the access device model and access browser or platform parameters; Determine the per capita behavior parameters of each key monitoring page and common monitoring page based on the user access parameters, and determine the audience heat factor of each key monitoring page and common monitoring page based on the per capita behavior parameters; Determine the audience characteristics of website data based on audience population attributes and audience heat factors, obtain the user's key focus area distribution based on user access parameters, and build a page statistics flow change curve based on the key focus area distribution and the website's initial page distribution; Determine the traffic characteristics of website data based on the page statistics traffic change curve, and determine the content promotion optimization strategy and content distribution optimization strategy based on the traffic characteristics and audience characteristics.

6. According to the website data monitoring method of claim 1, It is characterized in that The content optimization of website data according to the optimization strategy, adjustment of monitoring indicators according to the optimization results and subsequent monitoring include: Determine the pages to be retained and deleted according to the optimization strategy, and optimize the website data based on the pages to be retained and deleted; Obtain new website display data based on optimization results, and adjust monitoring indicators based on traffic preferences and new display data; Follow-up monitoring of the website's new display data is carried out through the adjusted monitoring indicators.

7. According to the website data monitoring method of claim 1, It is characterized in that The method further comprises: Conduct multivariate testing on website data and determine the traffic performance of website data in different versions based on the test results; Determine the best display version based on the traffic performance of different versions of the website data; Obtain the operation data and usage data of the website data, and evaluate the compatibility and quality of the website based on the operation data and usage data; Optimize website programming parameters based on compatibility and quality, and optimize marketing strategies based on traffic characteristics.

8. A website data monitoring system, It is characterized in that The system includes: A division module is used to obtain the content distribution of website data and divide key monitoring pages and common monitoring pages according to the content distribution; The collection module is used to set the monitoring indicators of key monitoring pages and common monitoring pages respectively, and collect user access parameters according to the monitoring indicators; A determination module, used to determine the audience characteristics and flow characteristics of website data according to user access parameters, and determine an optimization strategy based on the audience characteristics and flow characteristics; The optimization module is used to optimize the content of website data according to the optimization strategy, adjust the monitoring indicators according to the optimization results and perform subsequent monitoring.

9. A website data monitoring device, applicable to the color management method of the LED display screen described in any one of claims 1 to 7.

10. A color management storage medium for an LED display screen, applicable to the color management method for an LED display screen as claimed in any one of claims 1 to 7.

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