Neuromarketing has gained significant academic and commercial traction due to advances in neural recording and data analysis, enabling effective detection of consumers' subconscious responses to marketing. This pioneering systematic review synthesizes technological progress in Neuromarketing over the past five years, analyzing 57 relevant studies from credible sources. Key findings reveal consumer goods as the dominant stimuli (products/promotions) in the literature. Emotion recognition studies frequently focus on frontal/prefrontal alpha signals, aligning with frontal alpha asymmetry theory. For video ad testing, EEG emerged as researchers' preferred tool over fMRI, largely due to its cost-effectiveness and superior temporal resolution. Physiological methods (eye tracking, skin conductance, heart rate, facial mapping) were also commonly employed, often alongside brain recordings. In neural signal processing, Independent Component Analysis (ICA) was the most prevalent artifact removal technique, while Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), and Linear Discriminant Analysis (LDA) demonstrated the highest average accuracy for consumer response classification. This review aims to provide future researchers with essential insights to drive novel contributions in the field