Predicting the Success of Influencer Marketing Campaigns Using Machine Learning
摘要
Influencer marketing has become popular with the rise of social media. It is being used by various corporate businesses to promote their products and services. The method proposed here is an innovative approach to influencer marketing by using machine learning to predict the success of campaigns. The system allows businesses to input their desired budget, target location, and marketing category and meticulously analyzes Instagram influencers by factoring in their location, cost, reach, and engagement levels. Hashtags are used to measure the quality of content. This helps the businesses to stay ahead of competition in this digital era.