Content marketing through data mining on Facebook social network

As the Internet has found its place within different sectors of society, the use of various social
networks is increasing and that is why they are utilized for business purposes. Most commercial
companies need to do marketing in social networks in order to introduce their goods and/or
services. In marketing, appropriate and accurate advertisement of goods based on needs of users
of these social networks is required to sell the goods of different companies and manufacturing
units in effective ways. In most cases, however, advertising and marketing methods in social
networks are not correct and the resulted advertisements are boring and tiring to users and they
might ignore them without noticing. Such advertisements will be considered as spam and will be
annoying to network users. This is taken into consideration in the present study where users'
interests, attitudes, and behavior on Facebook are specified through data mining techniques,
based on which content marketing is conducted. The present study is conducted on the social
network of Facebook, where content marketing, a new form of marketing, is utilized and instead
of introducing the goods, the contents of different goods are presented. The data utilized in the
study are actual and related to Facebook users, and therefore, the results can be generalized to
other networks.

Spotlight

Power

Power is an independent marketing firm focused on premium installed home brands. Based in Louisville, KY, their position as a residential product authority spans four decades. With notable clients like GE Appliances and Lennox, Power has the proven expertise to help clients support their brand and distribution channels in smart, effective and relevant ways.

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