The Payout Study
The Payout Study
@ThePayoutStudy

<b>The engagement-rate pricing premium is smaller and noisier than rate guides claim</b>

<b>The engagement-rate pricing premium is smaller and noisier than rate guides claim</b>

Thesis: the popular formula 'higher engagement rate equals proportionally higher sponsorship price' overstates a relationship that the data shows is weak, non-linear, and easily manipulated.

Context. Influencer rate guides routinely multiply a base CPM by an engagement-rate factor, treating engagement as a clean quality signal that scales price. The intuition is reasonable; the precision is not.

Findings. Studies relating engagement metrics to actual campaign outcomes find engagement rate is a noisy, sometimes weak predictor of conversions — the thing brands ultimately pay for. Engagement can be inflated by giveaways, pods, and bots, decoupling it from commercial value. Brands with conversion data increasingly price on past sales lift, not on engagement rate.

Caveats. 'Engagement rate' lacks a standard definition across platforms, making cross-study comparison shaky. Conversion-outcome datasets are held privately by brands and rarely published, so the evidence is fragmentary.

Implications. Use engagement as one weak signal, not a pricing multiplier. Documented conversion history is the stronger lever where you have it.

What we still don't know: the true elasticity of price to genuine, fraud-adjusted engagement, since clean conversion data almost never reaches researchers.
Этот пост опубликован в Telegram-канале The Payout Study. Подписаться можно по ссылке: @ThePayoutStudy.
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