Abstract
In the digital age, the significance of social media networking cannot be overstated. Individuals, businesses, and organizations have embraced these platforms as essential tools for communication, brand promotion, and community building. Social media analytics involve the systematic collection and analysis of data to measure the performance of one’s presence on platforms like Facebook, Instagram, Twitter, and LinkedIn. Key performance indicators (KPIs) such as engagement, reach, impressions, and conversion rates are pivotal in assessing the effectiveness of social media strategies. Additionally, understanding audience demographics, content performance, and competitor analysis informs data-driven decision-making. Growth perspectives in social media networking encompass strategies to expand reach, engage audiences, and foster sustainable growth. Consistency in posting, delivering high-quality content, and engaging with users are fundamental principles. Paid advertising, collaborations, and community building are strategies that extend one’s social media reach. Furthermore, data-driven optimization, trend monitoring, and user experience enhancements are indispensable for staying relevant in a dynamic digital landscape. This article is an attempt to provide a concise overview of the critical components related to social media networking along with analytics and growth perspectives. The article encapsulates the essence of social media networking analytics and growth perspectives, offering a foundation for individuals, businesses, and organizations to harness the full potential of these platforms, connect with their target audiences, and achieve enduring growth in the ever-evolving realm of social media.
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Sabla, Y., Gour, S. (2024). Social Media Networking Analytics and Growth Perspectives. In: Joshi, A., Mahmud, M., Ragel, R.G., Karthik, S. (eds) ICT: Innovation and Computing. ICTCS 2023. Lecture Notes in Networks and Systems, vol 879. Springer, Singapore. https://doi.org/10.1007/978-981-99-9486-1_22
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DOI: https://doi.org/10.1007/978-981-99-9486-1_22
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