The Role of Social Media In Startup Market Research And Intelligence
DOI:
https://doi.org/10.63682/jns.v14i28S.6788Keywords:
Startups, Social Media, Market Research, Competitive Intelligence, Social Listening, Sentiment Analysis, Trend Forecasting, Consumer BehaviorAbstract
In the dynamic and competitive business environment, startups must rely on efficient, cost-effective methods for market research and intelligence. Social media has emerged as a transformative tool, enabling startups to gather real-time data, understand consumer behavior, track competitors, and make informed decisions. This research paper explores how startups leverage social media platforms for market research and competitive intelligence. It delves into methodologies such as sentiment analysis, social listening, trend forecasting, and audience analytics, providing real-world examples and data to support these functions. The study also examines the challenges startups face when using social media for research, including data privacy, information overload, and authenticity of insights. The paper concludes by highlighting best practices and offering recommendations for startups aiming to harness the full potential of social media as a strategic asset in market intelligence.
Downloads
Metrics
References
Singh, Gurvinder, and Jahid Ali. "A Novel Composite Approach for Software Clone Detection." International Journal of Computer Applications 126.7 (2015).
Sigh, Gurwinder, and Jahid Ali. "Study and analysis of Object Oriented Languages Using Hybrid Clone Detection Technique”." Advances in Computational Sciences & Technology, Research India Publications (2017).
Singh, G., & Kaur, J. (2025). Crime prediction using AI-driven methodologies. Journal of Technology, 13(3), 68–79.
Singh, G., & Chadroo, M. M. N. (2025). Crime prediction using AI-driven methodologies: Classification of commercial rice grains using morpho-colorimetric features and advanced artificial neural networks. Journal of Technology, 13(2), 661–674.
Singh Rahul, G., & Kumar, R. (2024). Crime prediction using AI driven methodologies to study the compressive strength by using destructive testing (DT) and non-destructive testing (NDT) of the concrete prepared by using fly ash and copper slag. International Journal of Emerging Technologies and Innovative Research, 11(5), j475–j483.
Singh, G., Kumar, V., & Kumar, R. (2024). Evaluation of Properties of Concrete Made from Recycled Coarse Aggregates at Different Mix Proportions. Journal of Technology, 13(2), 661–674.
Singh, G., Kundal, S., & Kumar, R. (2024). Utilization of lathe steel fibre for development of concrete: Review. International Journal of Creative Research Thoughts (IJCRT), 12(3), e340–e346.
Singh, G., Hemlata, & Kumar, R. (2024). Crime prediction using AI-driven methodologies: Selection of either (fly ash, rubber and rice husk) material for rigid pavement: Review. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 12(III), 97–100.
Singh, G., & Shukla, N. (2023). Hemispherical potential measurement of brain using EEG readings: A case study with innovative ideas for more efficient medical equipment. International Journal of Engineering and Techniques (IJET), 9(2), 6.
Gurvinder Singh, J. A., & Singh, G. (2017). Analysis of code clone detection of web language using suffix array based tokenization. International Journal of Research in Computer Application and Management, 7(08).
Mannem, Pravallika, Rajesh Daruvuri, and K. Patibandla. "Leveraging Supervised Learning in Cloud Architectures for Automated Repetitive Tasks." International Journal of Innovative Research in Science, Engineering and Technology 13.11 (2024): 1-10.
Daruvuri, Rajesh, Pravallika Mannem, and Kiran Kumar Patibandla. "Leveraging Unsupervised Learning for Workload Balancing and Resource Utilization in Cloud Architectures." 2024.
Daruvuri, Rajesh, and Kiran Kumar Patibandla. "MultiSmpLLM: Enhancing Multimodal Social Media Popularity Prediction with Adapter Tuning and Transformer-based Direct Preference Optimization." 2025.
Daruvuri, Rajesh, et al. "Bitcoin Financial Forecasting: Analyzing the Impact of Moving Average Strategies on Trading Performance." 2025.
Patibandla, Kiran Kumar, and Rajesh Daruvuri. "Efficient Knowledge Transfer for Small-Scale Language Models: Achieving High Performance with Reduced Data and Model Size." 2025.
Daruvuri, Rajesh, Kiran Kumar Patibandla, and Pravallika Mannem. "Explainable Sentiment Analysis on Social Media: A Unified Approach with BERT and Token-Level Insights." 2025.
Krithika R Priya, S., Selvakumari, R., & Chandrakala, K. R. (2024). Analyzing cryptographic protocols to strengthen HR information security. Journal of Discrete Mathematical Sciences & Cryptography, 27(8), 2495–2509.
Naveen Raj Kumar, D., Kogila, N., Loganatha Prasanna, S., Senthamizhselvi, A., Muthukrishnan, K. B., & Selvakumari, R. (2024). Building a resilient workforce in Indian IT: The impact of strategic leadership and knowledge management on change management. Pakistan Journal of Life and Social Sciences, 22(2), 12459-12468.
Thandauthapani, A., Mathew, F., Priya, R., Selvakumari, R., Begum, F., & Sandhya, L. (2024). Impacts and drivers: The dual role of social media on consumer behavior in South India's expanding e-commerce market. Pakistan Journal of Life and Social Sciences, 22(2), 5791-5813.
Selvakumari, R., & Naveen Rajkumar, D. (2023). Empirical evidence of service quality assessment of hospitals in Tamil Nadu. Proceedings of the International Conference on Business and Finance, 16-22.
Kanchidevi, S., & Selvakumari, R. (2023). Entrepreneurship and sustainable development: Examining the role of social and environmental entrepreneurship. European Chemical Bulletin, 12(Special issue 8), 3529-3542.
Selvakumari, R. (2022). Consumer perceptions of website’s attributes and online purchase intentions: A behavioural study. NeuroQuantology, 20(19), 484-493.
Selvakumari, R. (2020). Customer's perception towards organized retail outlets with reference to hypermarkets in Bengaluru city. Wutan Huatan Jisuan Jishu, 16(11), 419-438.
Selvakumari, R. (2018). A study on women faculties’ influencing factors relating to quality of work life with special reference to arts and science colleges in Tiruchirappalli district. International Journal of Innovative Research in Management Studies (IJIRMS), 3(3), 9-13.
Selvakumari, R. (2022). Analysis of quality work life on employees' performance with special reference to women employees. Journal of Education, 15(2), 62-70.
Stalin, V., & Selvakumari, R. (2023). The role of HR in promoting work-life balance and employee well-being. In Fusion of Knowledge: Multidisciplinary Perspectives in Research (Vol. 2, pp. 328-338).
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.