Enhancing Social Media Marketing with Machine Learning Based Ads Classification

Abstract

Social media is an incredible dynamic platform where businesses must connect with their target Audiences to earn profits by marketing their products and services. To improve marketing strategies for businesses, ad classification with machine learning is essential. With the rise of social media marketing Strategies, it’s critical to explore the future of ML-based ad classification. By using powerful ML models and cutting-edge techniques, we can classify ads based on the target audience, user behavior, and ad relevance. This optimization of user interactions will offer valuable insights for businesses, allowing them to stay ahead of the curve. Keywords: Social media ads, classification, target audience, machine learning, marketing, analysis, ad campaigns, audience behaviour.