Optimizing Customer Engagement with Social Media Analytics

Main Article Content

Sumit Jain

Abstract

Social media analytics is one of the most effective ways of improving the customer experience for companies that want to increase their online presence. Through the use of analytical tools, organizations are able to track customers’ activities, choices and opinions in the different social sites. This data is very useful in understanding the needs of the customers and thus helps businesses to design content that is more relevant to their audience hence building a good relationship with the customers. Social media analytics also helps the brands to monitor the performance of the campaigns, the number of likes, shares, comments and other aspects that would influence the customer’s decisions. In addition, real-time analysis can help companies to act immediately in response to customers’ feedback, which will improve brand recognition and credibility. Implementing all these ideas into the marketing strategies helps in retaining the customers while at the same time gaining new customers through better communication and tailored experiences. Analyzing the data, businesses can track competitors’ activity, adapt to the changes in the market, and maximize their engagement. Therefore, social media analytics is a tool that helps to achieve customer-oriented business development and build long-term partnerships in the context of the digital environment.

Article Details

How to Cite
Sumit Jain. (2024). Optimizing Customer Engagement with Social Media Analytics. International Journal of Advanced Research and Multidisciplinary Trends (IJARMT), 1(1), 41–52. Retrieved from https://www.ijarmt.com/index.php/j/article/view/17
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Articles

References

Gonçalves, A. (2017). Social media analytics strategy: Using data to optimize business performance. Apress.

Gonçalves, A. (2021). Social Media Analytics Strategy: Using Data to Optimize Business Performance.

Bheekharry, N. D. (2020, May). Optimising customer engagement through digital intelligence. In Digital Marketing & eCommerce Conference (pp. 179-187). Cham: Springer International Publishing.

Gołąb-Andrzejak, E. (2022). Enhancing customer engagement in social media with AI–a higher education case study. Procedia Computer Science, 207, 3028-3037.

Palle, R. R. (2021). Discuss the role of data analytics in extracting meaningful insights from social media data, influencing marketing strategies and user engagement. Journal of Artificial Intelligence and Machine Learning in Management, 5(1), 64-69.

Manoharan, A. (2024). Enhancing audience engagement through ai-powered social media automation. World Journal of Advanced Engineering Technology and Sciences, 11(2), 150-157.

Vlachvei, A., Notta, O., & Koronaki, E. (2022). Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands. Journal of Research in Interactive Marketing, 16(4), 615-632.

Jung, W. J., Yang, S., & Kim, H. W. (2020). Design of sweepstakes-based social media marketing for online customer engagement. Electronic Commerce Research, 20(1), 119-146.

Zhang, M. (2023). Optimizing Customer Engagement Through Strategic Digital Marketing and Financial Management. Journal of Interdisciplinary Insights, 1(1), 59-68.

Abu-Salih, B., Alotaibi, S., Abukhurma, R., Almiani, M., & Aljaafari, M. (2024). DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement. Cluster Computing, 1-27.

Kamal, M., & Himel, A. S. (2023). Redefining modern marketing: an analysis of AI and NLP's influence on consumer engagement, strategy, and beyond. Eigenpub Review of Science and Technology, 7(1), 203-223.

Al Kurdi, B., Alshurideh, M. T., Hamadneh, S., Kalra, D., Marwaha, S., & Alzoubi, H. M. (2024, February). Machine Learning Applications in Social Media Marketing: Innovating Customer Engagement and Brand Building. In 2024 2nd International Conference on Cyber Resilience (ICCR) (pp. 1-7). IEEE.

Delanoy, N. (2020). Social Media and Customer Engagement: Customer Relations in a Digital Era (Doctoral dissertation, Walden University).

Sternberg, F., Pedersen, K. H., Ryelund, N. K., Mukkamala, R. R., & Vatrapu, R. (2018, July). Analysing customer engagement of Turkish airlines using big social data. In 2018 IEEE international congress on big data (BigData Congress) (pp. 74-81). IEEE.

Lee, D., Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management science, 64(11), 5105-5131.