Social media content analytics: Study on B2C fan-pages
One of the supreme way of directly connecting with consumers via Social Networking Sites (SNS) is to generate a brand page in Facebook (called fan page) containing products information and publish regular po stings on these pages. Customers will reply differently to these postings. In defining the e...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/18122/1/All.pdf http://eprints.um.edu.my/18122/ |
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| Summary: | One of the supreme way of directly connecting with consumers via Social Networking Sites (SNS) is to generate a brand page in Facebook (called fan page) containing products information and publish regular po stings on these pages. Customers will reply differently to these postings. In defining the effectiveness of social networking sites, marketers are measuring metrics to calculate the engagement rate (e.g. number of comments/share and likings in fan pages). The study applied Pseudotheories and analyzed a total 3543 brand posts from 19 ofthe most popular B2C (Business to Consumer) fan pages of Malaysia. 12 months' worth of data (From September 2015- August 2016) were collected for analyses, which were available online from the Brand's fan pages. The Fan-page content was analyzed using Cross Section Regression of the EVIEWS 9 software for its impact on multiple contents upon user's engagement actions. The study explored the content features (content quality, content valence and content volume) ofS-O-R (Stimulus -Organism-Response) model and identify their impact on user's engagement actions (Like, comments and shares). The findings of the study will direct emarketers to apprise informational analyses upon the effectiveness of the posted contents' features. |
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