The Algorithmic Nudge: A Study on Social Media's Influence on Consumer Buying Behavior

The rapid evolution of social media has fundamentally disrupted traditional consumer decision-making, shifting the paradigm from intent-based search to algorithmic discovery. This research investigates the impact of social media platforms on the five stages of the consumer buying journey, utilizing a meta-analysis of secondary data sourced from global consumer reports, academic journals, and industry white papers (2020–2025). By synthesizing cross-platform data, the study identifies that algorithmic "nudges" and predictive discovery bypass traditional need recognition, particularly among Gen Z and Millennial cohorts. Findings indicate that electronic Word-of-Mouth (eWOM) and "social proof" (likes, shares, and user-generated content) act as the primary trust catalysts, with 71% of consumers more likely to purchase based on social media referrals. The research highlights a significant "funnel compression" effect, where the gap between product discovery and final purchase is drastically reduced through frictionless, in-app commerce. The study concludes that social media has created a "circular journey" of constant engagement rather than a linear path. These results suggest that marketers must prioritize community-building and algorithmic optimization over traditional advertising to maintain brand relevance in an increasingly decentralized digital marketplace.