Published Paper Details:

Artificial Intelligence (AI) has moved the practice of marketing from a traditional activity into a domain that is intensely driven by intelligence and data. The framework combines behavioral insights, neuromarketing, and AI-driven predictive analytics to offer an innovative approach for consumer intelligence and strategic decision-making. Neuromarketing is a method for exploring unconscious emotional and cognitive responses; behavioral insights explain decision-making biases and preferences while predictive analytics employs massive data in order to anticipate consumer behavior. This research proposes a conceptual framework between marketing performance, decision quality, and customization effectiveness with Artificial Intelligence (AI)-based consumer intelligence. The Effects of Integrated Consumer Intelligence Series Using Survey Data, Evidence from Neuromarketing Experiments and AI-Based Predictive Modeling: This mixed-method study employing survey data and experimental evidence from neuromarketing as well as AI-based predictive modelling to unlock the strategic marketing effects. We anticipate that the findings can help advance theory through the can provide a bridge between cognitive neuroscience in conjunction with AI-decomposed today, precision marketing, consumer engagement, and competitive advantage in the digital economy.