Driving Traffic Fission and Brand Growth through KOL Content: An Empirical Study in the Social Media Era

This thesis investigates the structural mechanisms of traffic fission within the decentralized social commerce landscape, using the 2024 Luckin Coffee "Big Bold Red" campaign on Xiaohongshu (Rednote) as a primary case study. As traditional top-down advertising yields diminishing returns, this research explores how brands can leverage "algorithm-native" content and strategic influencer matrices to trigger autonomous organic growth. Utilizing a mixed-methods approach, the study performs a content coding and quantitative analysis of 50 purposively sampled influencer nodes. The empirical findings reveal that traffic fission is a synergistic function of social currency, network density, and algorithmic alignment. A key discovery is the Fission Multiplier ( [[MATH_EQ_001]] ), which illustrates that micro-influencers and Key Opinion Consumers (KOCs) achieve a significantly higher efficiency rate (5.2x) compared to mega-influencers (1.4x). This suggests that relatability and peer-to-peer validation are more effective catalysts for secondary dissemination than absolute reach. Furthermore, the longitudinal analysis of the campaign's lifecycle demonstrates a profound shift in traffic evolution: while initial awareness is driven by 85% paid seeding, the peak phase is characterized by 86% organic user-generated content (UGC). This transition results in an 88% reduction in relative customer acquisition costs. The study concludes that sustainable growth in 2026 requires brands to design products as "fissionable assets" and synchronize postings with the platform's 120-minute algorithmic window to maximize resonance. These findings offer a strategic playbook for brands navigating the paradox of viral velocity and long-term brand equity.