Breaking down attribution modeling in predictive analytics

Mohan, Ashish (2025) Breaking down attribution modeling in predictive analytics. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2851-2859. ISSN 2582-8266

This article presents a comprehensive overview of attribution modeling in predictive analytics, detailing how organizations can effectively evaluate the impact of various touch points throughout the customer journey. Attribution modeling has become essential as consumers interact with brands across multiple channels before making purchase decisions, requiring sophisticated techniques to assign appropriate credit to each interaction. The article explores the conceptual framework of attribution modeling, discusses various model types from single-touch to data-driven approaches, addresses common implementation challenges, and outlines strategies for organizational integration. By adopting advanced attribution frameworks, organizations can allocate marketing resources more efficiently, enhance customer understanding, improve forecasting accuracy, and align marketing activities with broader business objectives, ultimately creating a sustainable competitive advantage in increasingly complex markets.