← Back to VOLUME 15, ISSUE 3, MARCH 2026
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Influencer Equation: Unraveling the Science of Social Media Impact
Vasanth P, D. Pradeep, Mrs K. Kalaivani
DOI: 10.17148/IJARCCE.2026.15324
Abstract: - In the digital world that we are in today, influencer marketing is an essential part of the process to improve the growth and sales of the brand. The main focus of this project is to determine the influence of the different influencers on the growth of the brand using data analysis. The data that is provided contains information about the campaign ID, platform, influencer type, campaign type, start date, stop date, engagement, estimated reach, product sales, and campaign duration. The main focus of the project is to determine the influence of the engagement of the influencers and the type of influencers on the sales of the product using statistical and machine learning methods. However, the main focus is to determine the percentage value of the influence of the individual influencers on the sales growth.
Keywords: Influencer Marketing, Brand Growth, Data Analytics, Random Forest Regression, Campaign
Keywords: Influencer Marketing, Brand Growth, Data Analytics, Random Forest Regression, Campaign
π 29 views
How to Cite:
[1] Vasanth P, D. Pradeep, Mrs K. Kalaivani, βThe Influencer Equation: Unraveling the Science of Social Media Impact,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15324
