In the contemporary digital marketplace, online reviews serve as critical determinants of consumer decision-making. While textual reviews offer subjective insights, statistical review formats—such as star ratings, numerical scores, percentage-based satisfaction indices, and data visualizations—provide consumers with quantifiable cues that simplify complex information. This article explores how statistical review formats influence consumer judgment, trust formation, perceived product value, and purchasing intentions. Drawing from behavioral economics, cognitive psychology, and digital marketing research, the study argues that statistical review formats shape consumer behavior by reducing cognitive load, enabling comparison heuristics, and fostering perceptions of objectivity and credibility. The research investigates eleven key factors, including textual versus visual formats, review length, rating formats, structural clarity, emotional tone, reviewer identity cues, timeliness, review volume, multimedia integration, platform interface design, and social validation. Using responses from 200 participants, statistical measures—including mean ranking analysis and Kendall’s Coefficient of Concordance—were employed to identify patterns of influence and agreement among consumers. The results indicate that multimedia integration, social validation cues, and visual-rich review formats exert the strongest impact on consumer decisions. In contrast, traditional elements such as star ratings, review length, and timeliness play comparatively minor roles. Although Kendall’s W revealed a low level of agreement among respondents, the association remained statistically significant, suggesting shared tendencies in how consumers evaluate review formats. Overall, the study highlights the importance of interactive, visually enriched, and socially endorsed review designs in shaping modern consumer behavior