CN102073960A - Method for assessing operation effect in website marketing process - Google Patents
Method for assessing operation effect in website marketing process Download PDFInfo
- Publication number
- CN102073960A CN102073960A CN2010102818365A CN201010281836A CN102073960A CN 102073960 A CN102073960 A CN 102073960A CN 2010102818365 A CN2010102818365 A CN 2010102818365A CN 201010281836 A CN201010281836 A CN 201010281836A CN 102073960 A CN102073960 A CN 102073960A
- Authority
- CN
- China
- Prior art keywords
- website
- page
- operational effect
- rank
- appraisal procedure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a method for assessing an operation effect in a website marketing process, comprising the following steps of: (1) structuring a set of website operation effect analysis indicator system; (2) solidifying the website operation effect analysis indicator system into a website marketing decision analysis system; (3) acquiring data information essential to the website operation effect analysis indicator system by the website marketing decision analysis system through a set of data acquisition mechanism; and (4) establishing a multi-dimensional data mining module by the website marketing decision analysis system by taking a data warehouse as a foundation, and displaying an analysis result to a user according to the website operation effect analysis indicator system. The assessment method provided by the invention is comprehensive and fine for content assessment, has the visual and easy analysis result and is easy for popularization and use.
Description
Technical field
The invention belongs to technical field of information processing, be specifically related to a kind of method of assessing at the operational effect of website in the network marketing activity.
Background technology
The website is in the operation process, the website owner is concerned about very whether the website of oneself is paid close attention to by the people, whether the website emphasis page is visited by the people, the website is what situation that is in the field of business at present, whether the website is in relevant informations such as normal operations, and mainly be to obtain the website visiting data on flows by in the website, embedding modes such as data acquisition unit at present on the market, obtain a series of statistical report forms then.Each large search engine all provides this type systematic at present, such as the Baidu of Baidu statistics, and the Google analyze of Google, even some companies and individual also released special website traffic statistical system, and such as 51.la, Chinese network alliance etc.These website traffic analytic systems generally all can provide the statistical report form at website visitation data, comprise website visiting traffic statistics at times, and depth analysis etc. is browsed in the website caller data analysis, ubiquitous following 3 problems of these statistical and analytical tools:
1, have only more experienced Website operation management personnel just can understand these forms, the common website owner is difficult to understand the implication of these forms.
Though 2 obtain such as visit capacity, the keyword rank, data and forms thereof such as website rank lack comprehensive data analysis, simply directly the result of reaction network marketing popularization.
3, lack the index system of industry standard, can't determine whether these indexs are comprehensive, index result's normal range that whether belongs in the field of business.
Summary of the invention
For overcoming deficiency of the prior art, the object of the present invention is to provide a kind of assessment content carefully to arrive, the appraisal procedure of operational effect in the visual and understandable website marketing process of analysis result comprehensively.
In order to solve the problems of the technologies described above, realize above-mentioned purpose, the present invention has adopted following technical scheme:
The appraisal procedure of operational effect is characterized in that in the marketing process of a kind of website, may further comprise the steps:
A) make up a cover website operational effect analysis indexes system;
B) described website operational effect analysis indexes system is cured in the network marketing decision analysis system;
C) described network marketing decision analysis system is obtained necessary data message in the operational effect analysis indexes system of described website by a sets of data collection mechanism;
D) described network marketing decision analysis system is set up the data mining model of various dimensions based on data warehouse, and analysis result is shown to the user according to described website operational effect analysis indexes system.
Further, described website operational effect analysis indexes system is the tree topology figure of a network marketing promotion effect index.
Further, the structure of the tree topology figure of described network marketing promotion effect index comprises following index:
A) website Attraction Degree, described website Attraction Degree comprises the combination in any of following specific targets: effectively rate of people logging in, returning rate, actively the visitor leads, loyal visitor leads, loyal index, loyal access page ratio, participant index, jump out that rate, rebound degree, passerby lead, passerby's index and pass by ratio;
B) website promotion degree, described website promotion degree comprises following specific targets combination in any: the including of search engine, keyword rank, Alexa rank, Chinese website rank, PR rank, SR rank, search engine flow account for number percent, backward chaining number and the external linkage quantity of total flow;
C) website liveness, described website liveness comprises following specific targets combination in any: homepage renewal speed, web site contents renewal speed and website structure renewal speed;
D) website health degree, described website health degree comprises following specific targets combination in any: lost efficacy and linked number, average webpage opening speed, unusual website structure, abnormality code injection, unusual page injection and malice visit in the website.
Further, described data acquisition mechanism comprises following two kinds of acquisition systems:
A) embedded data acquisition system, described embedded data acquisition system adopts the form of being installed by user's download, to obtain the website visiting register system, website change record check system is embedded into the user website server, and this system will be according to gathering the real-time or operation regularly of content;
B) self-operating service acquisition system, described self-operating service acquisition system is installed on the server, service routine that can the timing automatic operation, this system can be according to the timing operation that requires of image data.
Further, the content of described embedded data acquisition system acquisition comprises following information:
A) visit action, described visit action comprises: IP, area of source, access page, last station time, change website, portal site over to, enter the page time, produce the page time, insert the merchant and change key word over to;
B) visitor's information, described visitor's information comprises: IP, area of source, browser, operating system, language, access merchant;
C) page refreshment record, described page refreshment record comprises: more new web page, update time, change user;
D) webpage opening speed, described webpage opening speed comprises: webpage, access time, page open time, visitor IP;
E) web site url inspection, described web site url inspection comprises: current inefficacy link, discovery time;
F) website structure inspection, described website structure inspection comprises: more new directory, update time.
When preferably, the frequency acquisition of described embedded data acquisition system is each user to access pages.
Further, the content of described self-operating service acquisition system collection comprises following information:
A) search engine is included detail, and described search engine is included detail and comprised: the interface that calls search engine commonly used obtains, and the information of obtaining comprises: search engine, include page link, time of receipt, include domain name;
B) ranking information, described ranking information comprises: Alexa precedence data, Chinese website rank, PR rank, SR rank;
C) backward chaining detail, described backward chaining detail comprises: call backward chaining extracting function and obtain, the information of obtaining comprises: backward chaining website, the page, link;
D) external linkage detail, described external linkage detail comprises: call external linkage extracting function and obtain, the information of obtaining comprises external website, the link page, link.
Preferably, the frequency acquisition of described self-operating service acquisition system is every day.
Compared with prior art the present invention has the following advantages:
1, evaluation index carefully arrives comprehensively.
2, analytical structure is visual and understandable.
Above-mentioned explanation only is the general introduction of technical solution of the present invention, for can clearer understanding technological means of the present invention, and can be implemented according to the content of instructions, below with preferred embodiment of the present invention and conjunction with figs. describe in detail as after.The specific embodiment of the present invention is provided in detail by following examples and accompanying drawing thereof.
Description of drawings
Fig. 1 is the estimation flow synoptic diagram of the appraisal procedure of operational effect in the marketing process of website of the present invention.
Fig. 2 is the tree topology figure of network marketing promotion effect index of the appraisal procedure of operational effect in the marketing process of website of the present invention.
Embodiment
Below in conjunction with drawings and Examples technology implementation process of the present invention is described further.
Referring to shown in Figure 1, the appraisal procedure of operational effect is characterized in that in the marketing process of a kind of website, may further comprise the steps:
A) make up a cover website operational effect analysis indexes system 101;
B) described website operational effect analysis indexes system is cured in the network marketing decision analysis system 102;
C) described network marketing decision analysis system is obtained necessary data message 103 in the operational effect analysis indexes system of described website by a sets of data collection mechanism;
D) described network marketing decision analysis system is set up the data mining model of various dimensions based on data warehouse, and analysis result is shown to user 104 according to described website operational effect analysis indexes system.
Further, referring to shown in Figure 2, described website operational effect analysis indexes system is the tree topology figure of a network marketing promotion effect index.
The particular content of the tree topology figure of described network marketing promotion effect index sees table shown in 1.
Table 1: network marketing promotion effect index
Further, described data acquisition mechanism comprises following two kinds of acquisition systems:
A) embedded data acquisition system, described embedded data acquisition system adopts the form of being installed by user's download, to obtain the website visiting register system, website change record check system is embedded into the user website server, and this system will be according to gathering the real-time or operation regularly of content;
B) self-operating service acquisition system, described self-operating service acquisition system is installed on the server, service routine that can the timing automatic operation, this system can be according to the timing operation that requires of image data.
The particular content of described data acquisition mechanism sees the following form 2.
Table 2 data acquisition mechanism
The foregoing description just is to allow the one of ordinary skilled in the art can understand content of the present invention and enforcement according to this for technical conceive of the present invention and characteristics being described, its objective is, can not limit protection scope of the present invention with this.The variation or the modification of every equivalence that the essence of content has been done according to the present invention all should be encompassed in protection scope of the present invention.
Claims (8)
1. the appraisal procedure of operational effect in the website marketing process is characterized in that, may further comprise the steps:
A) make up a cover website operational effect analysis indexes system (101);
B) described website operational effect analysis indexes system is cured in the network marketing decision analysis system (102);
C) described network marketing decision analysis system is obtained necessary data message (103) in the operational effect analysis indexes system of described website by a sets of data collection mechanism;
D) described network marketing decision analysis system is set up the data mining model of various dimensions based on data warehouse, and analysis result is shown to user (104) according to described website operational effect analysis indexes system.
2. the appraisal procedure of operational effect is characterized in that in the marketing process of website according to claim 1, and described website operational effect analysis indexes system is the tree topology figure of a network marketing promotion effect index.
3. according to the appraisal procedure of operational effect in the marketing process of website according to claim 2, it is characterized in that the structure of the tree topology figure of described network marketing promotion effect index comprises following index:
A) website Attraction Degree (201), described website Attraction Degree comprises the combination in any of following specific targets: effectively rate of people logging in, returning rate, actively the visitor leads, loyal visitor leads, loyal index, loyal access page ratio, participant index, jump out that rate, rebound degree, passerby lead, passerby's index and pass by ratio;
B) website promotion degree (202), described website promotion degree comprises following specific targets combination in any: the including of search engine, keyword rank, Alexa rank, Chinese website rank, PR rank, SR rank, search engine flow account for number percent, backward chaining number and the external linkage quantity of total flow;
C) website liveness (203), described website liveness comprises following specific targets combination in any: homepage renewal speed, web site contents renewal speed and website structure renewal speed;
D) website health degree (204), described website health degree comprises following specific targets combination in any: lost efficacy and linked number, average webpage opening speed, unusual website structure, abnormality code injection, unusual page injection and malice visit in the website.
4. the appraisal procedure of operational effect is characterized in that in the marketing process of website according to claim 1, and described data acquisition mechanism comprises following two kinds of acquisition systems:
A) embedded data acquisition system, described embedded data acquisition system adopts the form of being installed by user's download, to obtain the website visiting register system, website change record check system is embedded into the user website server, and this system will be according to gathering the real-time or operation regularly of content;
B) self-operating service acquisition system, described self-operating service acquisition system is installed on the server, service routine that can the timing automatic operation, this system can be according to the timing operation that requires of image data.
5. the appraisal procedure of operational effect is characterized in that in the marketing process of website according to claim 4, and the content of described embedded data acquisition system acquisition comprises following information:
A) visit action, described visit action comprises: IP, area of source, access page, last station time, change website, portal site over to, enter the page time, produce the page time, insert the merchant and change key word over to;
B) visitor's information, described visitor's information comprises: IP, area of source, browser, operating system, language, access merchant;
C) page refreshment record, described page refreshment record comprises: more new web page, update time, change user;
D) webpage opening speed, described webpage opening speed comprises: webpage, access time, page open time, visitor IP;
E) web site url inspection, described web site url inspection comprises: current inefficacy link, discovery time;
F) website structure inspection, described website structure inspection comprises: more new directory, update time.
6. the appraisal procedure of operational effect is characterized in that in the marketing process of website according to claim 4, and the content of described self-operating service acquisition system collection comprises following information:
A) search engine is included detail, and described search engine is included detail and comprised: the interface that calls search engine commonly used obtains, and the information of obtaining comprises: search engine, include page link, time of receipt, include domain name;
B) ranking information, described ranking information comprises: Alexa precedence data, Chinese website rank, PR rank, SR rank;
C) backward chaining detail, described backward chaining detail comprises: call backward chaining extracting function and obtain, the information of obtaining comprises: backward chaining website, the page, link;
D) external linkage detail, described external linkage detail comprises: call external linkage extracting function and obtain, the information of obtaining comprises external website, the link page, link.
7. according to the appraisal procedure of operational effect in claim 4 or the 5 described website marketing process, it is characterized in that, when the frequency acquisition of described embedded data acquisition system is each user to access pages.
8. according to the appraisal procedure of operational effect in claim 4 or the 6 described website marketing process, it is characterized in that the frequency acquisition of described self-operating service acquisition system is every day.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102818365A CN102073960A (en) | 2010-09-15 | 2010-09-15 | Method for assessing operation effect in website marketing process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102818365A CN102073960A (en) | 2010-09-15 | 2010-09-15 | Method for assessing operation effect in website marketing process |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102073960A true CN102073960A (en) | 2011-05-25 |
Family
ID=44032493
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102818365A Pending CN102073960A (en) | 2010-09-15 | 2010-09-15 | Method for assessing operation effect in website marketing process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102073960A (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436506A (en) * | 2011-12-27 | 2012-05-02 | Tcl集团股份有限公司 | Mass data processing method and device for network server |
| CN103605735A (en) * | 2013-11-19 | 2014-02-26 | 北京国双科技有限公司 | Website data analyzing method and website data analyzing device |
| CN103955841A (en) * | 2012-08-31 | 2014-07-30 | 埃森哲环球服务有限公司 | Marketing campaign management system |
| WO2015074486A1 (en) * | 2013-11-20 | 2015-05-28 | 北京国双科技有限公司 | Method and apparatus for calculating user retention ratio |
| CN105431875A (en) * | 2013-08-05 | 2016-03-23 | 雅虎公司 | Search engine marketing optimizer |
| CN105512154A (en) * | 2014-10-20 | 2016-04-20 | 国家电网公司 | Method and system for environmental-protection data collection based on embedded database |
| CN106557473A (en) * | 2015-09-24 | 2017-04-05 | 北京国双科技有限公司 | The method and apparatus for generating path |
| CN106789136A (en) * | 2015-11-19 | 2017-05-31 | 北大方正集团有限公司 | OA operation analysis implementation method and device based on user behavior |
| CN107544968A (en) * | 2016-06-23 | 2018-01-05 | 北京国双科技有限公司 | A kind of method and device for determining Website Usability |
| CN107562885A (en) * | 2017-09-05 | 2018-01-09 | 合肥爱吾宠科技有限公司 | Website operation management device and method |
| CN108197301A (en) * | 2018-01-26 | 2018-06-22 | 北京博睿宏远数据科技股份有限公司 | A kind of method for being used to quantify different stock trader APP market refresh rates |
| CN108270637A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Website quality multilayer drills through system and method |
| CN109165338A (en) * | 2018-07-04 | 2019-01-08 | 华迪计算机集团有限公司 | A kind of Information Efficiency analysis method and system |
| CN109617973A (en) * | 2018-12-17 | 2019-04-12 | 清创网御(合肥)科技有限公司 | A kind of social safety integrated estimation system and method |
| WO2019105226A1 (en) * | 2017-11-29 | 2019-06-06 | 口碑(上海)信息技术有限公司 | Method and device used for predicting effect of marketing activity, and electronic device |
| CN110020065A (en) * | 2017-07-19 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of website identification method and device |
-
2010
- 2010-09-15 CN CN2010102818365A patent/CN102073960A/en active Pending
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436506A (en) * | 2011-12-27 | 2012-05-02 | Tcl集团股份有限公司 | Mass data processing method and device for network server |
| US10282746B2 (en) | 2012-08-31 | 2019-05-07 | Accenture Global Services Limited | Marketing campaign management system |
| CN103955841A (en) * | 2012-08-31 | 2014-07-30 | 埃森哲环球服务有限公司 | Marketing campaign management system |
| CN105431875A (en) * | 2013-08-05 | 2016-03-23 | 雅虎公司 | Search engine marketing optimizer |
| CN105431875B (en) * | 2013-08-05 | 2020-07-14 | 奥誓公司 | Search engine marketing optimizer |
| CN103605735A (en) * | 2013-11-19 | 2014-02-26 | 北京国双科技有限公司 | Website data analyzing method and website data analyzing device |
| CN103605735B (en) * | 2013-11-19 | 2017-11-21 | 北京国双科技有限公司 | website data analysis method and device |
| WO2015074486A1 (en) * | 2013-11-20 | 2015-05-28 | 北京国双科技有限公司 | Method and apparatus for calculating user retention ratio |
| CN105512154A (en) * | 2014-10-20 | 2016-04-20 | 国家电网公司 | Method and system for environmental-protection data collection based on embedded database |
| CN106557473A (en) * | 2015-09-24 | 2017-04-05 | 北京国双科技有限公司 | The method and apparatus for generating path |
| CN106557473B (en) * | 2015-09-24 | 2020-01-07 | 北京国双科技有限公司 | Method and device for generating new channel |
| CN106789136A (en) * | 2015-11-19 | 2017-05-31 | 北大方正集团有限公司 | OA operation analysis implementation method and device based on user behavior |
| CN107544968B (en) * | 2016-06-23 | 2019-12-24 | 北京国双科技有限公司 | Method and device for determining website availability |
| CN107544968A (en) * | 2016-06-23 | 2018-01-05 | 北京国双科技有限公司 | A kind of method and device for determining Website Usability |
| CN108270637A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Website quality multilayer drills through system and method |
| CN108270637B (en) * | 2016-12-30 | 2020-12-22 | 中国移动通信集团浙江有限公司 | Website quality multi-layer drilling system and method |
| CN110020065A (en) * | 2017-07-19 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of website identification method and device |
| CN110020065B (en) * | 2017-07-19 | 2023-04-25 | 阿里巴巴集团控股有限公司 | Website identification method and device |
| CN107562885A (en) * | 2017-09-05 | 2018-01-09 | 合肥爱吾宠科技有限公司 | Website operation management device and method |
| WO2019105226A1 (en) * | 2017-11-29 | 2019-06-06 | 口碑(上海)信息技术有限公司 | Method and device used for predicting effect of marketing activity, and electronic device |
| CN108197301A (en) * | 2018-01-26 | 2018-06-22 | 北京博睿宏远数据科技股份有限公司 | A kind of method for being used to quantify different stock trader APP market refresh rates |
| CN109165338A (en) * | 2018-07-04 | 2019-01-08 | 华迪计算机集团有限公司 | A kind of Information Efficiency analysis method and system |
| CN109617973A (en) * | 2018-12-17 | 2019-04-12 | 清创网御(合肥)科技有限公司 | A kind of social safety integrated estimation system and method |
| CN109617973B (en) * | 2018-12-17 | 2021-07-20 | 清创网御(合肥)科技有限公司 | Social security comprehensive evaluation system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102073960A (en) | Method for assessing operation effect in website marketing process | |
| Blumenstock | Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda | |
| CN103218431B (en) | A kind ofly can identify the system that info web gathers automatically | |
| CN102314455A (en) | Method and system for calculating click flow of web page | |
| CN102932206B (en) | The method and system of monitoring website access information | |
| CN102436564A (en) | Method and device for identifying tampered webpage | |
| CN100586080C (en) | Method and system for accessing data of statistical web page | |
| CN102932207B (en) | The method of monitoring website access information and server | |
| CN104281607A (en) | Microblog hot topic analyzing method | |
| CN101242307A (en) | Website access analysis system and method based on built-in code proxy log | |
| CN106021583B (en) | Statistical method and system for page flow data | |
| CN103618696B (en) | Method and server for processing cookie information | |
| CN103631828A (en) | Method and device for determining access path and method and system for determining page churn rate | |
| CN104348871B (en) | A kind of similar account extended method and device | |
| CN102833111B (en) | A kind of visual HTTP data monitoring and managing method and device | |
| CN102497632A (en) | Smart-phone-based webpage access control method, system and smart phone | |
| CN101883180A (en) | Method and system for shielding information in wireless network accessed by mobile terminal and mobile terminal | |
| CN103729479A (en) | Web page content statistical method and system based on distributed file storage | |
| CN103761257A (en) | Webpage handling method and system based on mobile browser | |
| CN107590265A (en) | A kind of administrative ownership recognition methods in the website based on web crawlers | |
| Trejo-Pech et al. | Violations of standard practices by predatory economics journals | |
| CN104639387A (en) | Users' network behavior tracking method and equipment | |
| CN104281646A (en) | Urban water-logging detecting method on basis of microblog data | |
| CN102681996A (en) | Pre-reading method and device | |
| CN104572765A (en) | Method and system for searching vest account based on user account behavior analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20110525 |