The main contents of
search application behind the web page based on user behavior:
thus, WEB2.0 users is the expanding demand of SNS for many of the search behavior, then the return needs of users to search, we found that the effect of Shanghai Longfeng social marketing show mainly includes: social content and voting, social media sharing and search, social media integration and expansion.
model proposed by Lewis in the United States in 1989, with the arrival of WEB2.0 the consumption model has been the transition to AISAS. A search and share with users of consumer behavior process stage, is to users of consumer behavior caused by the rapid development of the Internet, until 2010 Shanghai new model put forward in search of love Q1 industry research supplement: demand, search, evaluation, action, share.
since the 2013 search engine ranking analysis of factors influencing the release, and fell in love with the sea station Changsha dragon LEE share a series of industry information, "social media marketing" for the website ranking Shanghai dragon’s influence is spreading rapidly. According to Shanghai shortly before the Dragon IDE search for meaning a comprehensive analysis of the impact of website rankings show that the WEB2.0 era has been the development trend of Shanghai dragon form diversification.
SNSSince the AIDMA series
social media sharing behavior inspired by the
in the face of increasingly large user content consumption to the large share of derivative excitation, social sharing further the user intention into search behavior, this series of users through the content sharing mechanism to stimulate the consumption intention, was spreading rapidly. Therefore, social sharing tools and web application, the same as the site of Shanghai Longfeng established virtuous circle "
social turn and vote form
DSEAS model is different, the consumer demand in the industry from the spontaneous form, through the search platform and get the potential excitation and product information in this form, a series of process evaluation by the user to purchase actions, behavior demand tends to a large number of product information sharing service comparison, application development and socialization network.
in the Web1.0 era, content is the website editor, the vote is also carried out on the site, the traditional search engine to the website to vote as the basis, establish a hyperlink analysis system based on weight. For Web2.0 users, the network main content creation began to change for the users, the traditional voting form by single super chain extension for sharing, evaluation, grading and other forms, in accordance with the individual user as the size of the vote, so as to establish a reference for page weight score.
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