<b>Subscriber count is a weak predictor of revenue — and weakening</b>

<b>Subscriber count is a weak predictor of revenue — and weakening</b>

Thesis: across recent data, follower count explains less of the variance in creator revenue than engagement and audience composition do, and the link has loosened as feeds shifted from follow-graphs to recommendation.

Context. The old mental model — more followers, more money — assumed reach scaled with audience size. Recommendation-driven feeds broke that assumption: reach now depends on per-post algorithmic distribution, not on subscriber count.

Findings. Analyses correlating follower count with sponsorship rates find a positive but loose relationship, with wide scatter; two creators at the same follower count can differ several-fold in rate. Engagement rate, niche RPM, and audience geography add explanatory power that raw follower count misses. Some data suggests follower count's predictive value has declined as platforms de-emphasized the follow graph.

Caveats. 'Engagement rate' is inconsistently defined and easily gamed, and sponsorship-rate datasets are self-reported. Correlation here is not a clean causal estimate.

Implications. Pricing and forecasting on follower count alone will misprice many creators. Audience quality metrics belong in any rate model.

What we still don't know: how much of remaining follower-revenue correlation is just both being driven by an unobserved 'quality' factor.