Social media content analysis "Study on brand posts of electronics companies"

Rahman, Zoha and Kumaran, Suberamanian and Zanuddin, Hasmah and Md Nasir, Mohd Hairul Nizam (2017) Social media content analysis "Study on brand posts of electronics companies". Journal of Engineering and Applied Sciences, 12 (1). pp. 87-94. ISSN 186-949X, DOI

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Social media is considered as a first-rate open communication platform to connect directly with customers. One of the most noteworthy customs to connect with the consumers through these Social Networking Sites (SNS) is to create a Facebook fanpage with brand contents and to place different posts periodically on these fanpages. According to different posts or contents placed on the fanpages, consumer responses in different manners. Usually users click like button on particular brand fanpages and then put like, comments or keep sharing on particular posts of fanpages. These types of consumer activities in fanpages reflect brand's post interactivity and engagement. Most importantly, in measuring social networking site's effectiveness, corporate houses are now analyzing metrics interms of calculating engagement rate, number of comments/share and likings infanpages. So now, it is very vital for the e-marketers to identify the effectiveness of different contents or posts of fanpages in order to increase the fan engagement rate in the fan pages. In the study the researchers have used the Netnographics technique and analyzed total 1325 brand posts from 17 international brands of electronics companies. Data of 8 month (From September 2015, April 2016) have been collected for analyses which were available online from Brand fan pages. Finally, the researchers analyzed the descriptive statistic; (Post frequency, post engagement metrics) of different posts in each Brand fanpages. The study elaborated the types of post in fanpages and their implication on generating user's engagement activities. Findings discovered two types of post (image with details and feature video post) most effective in producing user engagement. The descriptive statistics will guide the e-marketers of electronics companies to have a comprehensive idea on social media content strategy.

Item Type: Article
Additional Information: Article journal
Uncontrolled Keywords: Social media; social networking sites; social media content analysis; social media metrics analysis; online marketing
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Arts and Social Sciences
Faculty of Computer Science & Information Technology
Depositing User: Mr. Mohd Safri
Date Deposited: 20 Mar 2020 03:10
Last Modified: 05 May 2021 04:25

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