The Effect of Personalised Algorithm in Brand Reinforcement

Abstract

In the digital era, brands increasingly rely on personalized algorithms to tailor content and advertisements to individual users. This study aims to investigate how social media impacts buying behaviour of Indian consumers impact of personalized algorithms on brand reinforcement, focusing on how consumers perceive such personalization and whether it fosters trust, recall, and loyalty toward brands. A survey was conducted using a structured questionnaire distributed to a diverse demographic in India. The research explores consumer awareness, trust, perceived value, and behavioral response to AI-powered content recommendations. The findings suggest that while consumers acknowledge the utility of personalized content, its effectiveness in strengthening brand relationships depends on transparency, relevance, and the perceived benefits outweighing privacy concerns. This paper provides actionable insights for marketers aiming to enhance brand reinforcement through data-driven personalization.