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

TL;DR

This study analyzes minute-level viewership data from a creator ecosystem to understand how concurrent streaming, viewer transfers, and audience loyalty dynamics influence audience behavior and inform creator management strategies.

Contribution

It provides detailed empirical insights into viewer transfer efficiency, audience loyalty variability, and the effects of concurrent streaming at a fine temporal resolution.

Findings

Concurrent streams reduce raw viewership, but scheduling confounds explain much of this effect.

Viewer transfer events have about 50% efficiency in audience movement.

Audience loyalty varies significantly across creators within the same organization.

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 $\rho = -0.165$, 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.