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Models Of Information Forwarding And Tracking-based Analytics For Social Viral Marketing

Posted on:2015-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y N PuFull Text:PDF
GTID:2268330428496339Subject:Information Science
Abstract/Summary:PDF Full Text Request
With the rapid development of the Internet technology, social media is enjoyingincreasing popularity, enriching our entertainments as well as providing a marketingplatform for the enterprise. As a result, many traditional marketing strategies can nolonger satisfy the consumers and the pattern of information dissemination hasexperienced great changes. On the one hand, the open platform of social media, as thebridge of communication between the enterprises and the consumers, makes bilateralcommunication possible. On the other hand, for the enterprises, it is also an infiniteadvertising platform, which not only can be used to release information for free, butalso attracts the user’s attention insensibly. The Internet helps diversify the marketingmeans and personalize the marketing information, which brings considerablemarketing value. In consequence, more enterprises realize the importance ofinformation dissemination in marketing and regard Internet marketing as anindispensable stage. Now, it is the key for the enterprise to spread marketinginformation as much as possible by using the Internet properly.Therefore, viral marketing becomes the priority of the Internet marketing for theenterprise, which not only reduces the marketing costs and improves the efficiency ofinformation transmission, but also makes it easier for the enterprise in marketing.Combining social media and viral marketing, the enterprise marketing will work thebest.Of course, the great external environment created by social media open platformand social sharing contributes a lot in the development of social viral marketing.Owing to the social sharing plugins, the integrated sharing plug-ins are widely used,which establishes another way for the information dissemination of social viralmarketing.Social sharing plugins not only provides a good way of informationdissemination for the enterprise, also provides a convenient condition for trackingusers behaviors. Based on the marketing effect measures---the share amount and the flow back amount, we can easily know users response, and leting enterprises canmaster the overall situation on marketing effect, thus enterprises can direct marketingactivities in a more targeted way, improving the efficiency of marketing.This article firstly expounds two ways of information forwarding models ofsocial viral marketing. Based on the diffusion model of marketing information insocial media, and take bShare as an example,detailing the automatic forwardingprocess for enterprises access to the social media in an indirect way. Then expoundsthe tracking statistics model of social viral marketing. Comparing the email viralmarketing put forward the tracking statistical model with the integrators of socialsharing tools, with bShare and JiaThis as an example shows the tracking process andthe tracking statistics report. Finally based on the models of information forwardingand the tracking statistics summarizes the optimal means of viral marketing forenterprises to carry out.
Keywords/Search Tags:Social Media Marketing, Viral Marketing, Information Forwarding, Tracking-based Analytics, Social Sharing Plugins, Open Platform
PDF Full Text Request
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