THE ROLE OF MARKETING ANALYTICS IN UNDERSTANDING CUSTOMER LIFETIME VALUE ACROSS ONLINE PLATFORMS

The study concludes that marketing analytics plays a significant role in understanding Customer Lifetime Value across online platforms. The findings indicate that marketing analytics provides accurate insights for measuring customer value and supports effective customer retention strategies. By utilizing marketing analytics and CLV, organizations can improve customer relationships, optimize marketing resources, and achieve sustainable business growth

1.                Akter, S., et al. (2025). AI-driven Customer Lifetime Value prediction using RFM analysis and machine learning techniques. 2.                Bhattacharyya, A., & Sarma, R. (2025). Customer satisfaction, loyalty, and word-of-mouth effects on Customer Lifetime Value in the Indian digital market. 3.                Gupta, S., & Lehmann, D. R. (2003). Customers as Assets. Journal of Interactive Marketing. 4.                Gupta, R., & Bansal, P. (2025). Predicting Customer Lifetime Value and customer churn using Random Forest and Neural Networks. 5.                Lemon, K. N., & Verhoef, P. C. (2016). Understanding Customer Experience Throughout the Customer Journey. Journal of Marketing. 6.                Payne, A., & Frow, P. (2005). A Strategic Framework for Customer Relationship Management. Journal of Marketing. 7.                Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004). Return on Marketing: Using Customer Equity to Focus Marketing Strategy. Journal of Marketing. 8.                Wedel, M., & Kannan, P. K. (2016). Marketing Analytics for Data-Rich Environments. Journal of Marketing.