Concurrent Streaming, Viewer Transfers, and Audience Loyalty in a Creator Ecosystem: A Minute-Level Longitudinal Study

Abstract

Live streaming platforms host interconnected communities of content creators whose audiences overlap and interact in ways that are poorly understood at fine temporal resolution. We present a descriptive longitudinal study of audience behavior within a creator ecosystem, analyzing 2.9 million minute-by-minute viewership observations across 7,762 livestreams from 18 affiliated channels over 3.3 years. We find that (1) concurrent streaming is associated with substantial raw per-stream audience decreases (14,377 to 6,057 viewers as concurrent stream count rises from 1 to 9), though hour-of-day controls reduce the residualized correlation to $ρ= -0.165$, indicating that scheduling confounds account for much of the observed drop; (2) algorithmically detected viewer transfer events achieve a median efficiency of approximately 50\% across 3,243 candidate events; and (3) audience loyalty metrics (stability, competition resistance, retention, and floor ratio) vary substantially across creators within the same organization, with competition resistance ranging from 0.36 to 1.00, indicating that audience exclusivity is a creator-level rather than organization-level property. These findings provide practical benchmarks for creator organizations making scheduling, cross-promotion, and talent management decisions.

Figures (5)

• Figure 1: Audience overlap network. Node size proportional to average viewership; edge weight proportional to estimated overlap. Colors indicate organizational generation.
• Figure 2: Pairwise concurrent streaming frequency. Darker cells indicate higher rates of temporal overlap between channels.
• Figure 3: Concurrent streaming and per-stream dilution (HoloEN channels only, minute-level). Left: total ecosystem viewership vs. concurrent stream count ($\rho = 0.686$), largely reflecting scheduling endogeneity. Right: per-stream average viewership (bars) and total ecosystem viewership (line) by concurrent stream count. Per-stream averages drop substantially with concurrent stream count, though the residualized within-hour effect is smaller ($\rho = -0.165$).
• Figure 4: Detected viewer transfer event: Calliope $\rightarrow$ IRyS on 2025-06-21. Top panel: ending channel viewership. Bottom panel: receiving channel with +24,116 viewer spike at transfer time (dashed line).
• Figure 5: Audience loyalty components by channel. The composite index $L$ (bar length) is a weighted summary provided for visual reference; the individual components are the primary unit of analysis. Colors indicate organizational generation.