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

Jiayu Zhang

Simen Owen Academic Proceedings Series, 2026, vol. 5, 294-302

Abstract: 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.

Keywords: traffic fission; social currency; micro-influencers; algorithmic resonance; aisas model (search for similar items in EconPapers)
Date: 2026
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