Reference file

Consumer ai

consumer-ai.md

The high-volume consumer variant

Read this when the product sells to consumers or prosumers rather than to a buying committee, and the motion runs across dozens or hundreds of creators rather than a handful.

The hit-rate argument, and where it stops working

With a large denominator, hit rate becomes the thing to optimise: the share of posts clearing roughly 3x the account's own average. Broad untargeted spending sits in the low single digits, commonly around three percent. Selecting creators on demonstrated hit rate, engineering the content, and working the launch window lifts it several times over.

The compounding is the whole argument. Moving from three percent to ten percent, at identical budget and identical post count, produces roughly three times the output over a year. Nothing else in creator marketing returns that much for the same spend, which is why the discipline is worth its overhead.

It stops working when the denominator is small. Eleven posts against a niche audience cannot express a rate; three winners out of eleven is three winners, and next cycle it might be one. A small-roster motion has to score on composition of engagement and lagged pipeline instead, which is slower, coarser, and unavoidable.

What else changes

Creator selection weighting. Score on the creator's own recent hit rate rather than audience size. Size sets initial distribution; content decides whether anything spreads beyond it.

Tiering. Consumer motions support three tiers: one or two at the top for narrative reach, ten to thirty in the middle carrying the quality signal, and a long tail of fifty to two hundred carrying density and template spread. Small-roster motions collapse to head and mid.

Templates and remix. Publishing the method, the prompt, or the workflow turns viewers into participants, and every imitator becomes a new distribution node. This mechanic drives most large consumer spread and is the highest-leverage single decision in a consumer launch. It largely does not occur in B2B, where buyers read but do not remix.

Emotional register. Consumer spread concentrates in awe, humour, and controversy. Negative and moral-emotional content carries a measurable click-through advantage, roughly thirty percent, and a proportionate risk: controversy only converts when it is consistent with the product's actual value, otherwise it collects anger and nothing else. In B2B it backfires outright, because a buyer who must defend the purchase internally will not forward something that makes them look reckless. Contrarian travels in B2B; outrage does not.

Sequencing. Consumer motions extend across four waves rather than one: the initial break, the publicly released template, the tutorial, then the conversion path. Peak attention landing nowhere produces downloads that churn, and the gap between a record launch and a collapsed retention curve is routinely a single quarter.

What stays identical

The window itself. The leverage ordering of reactions, links out of the post body, the author answering comments, real people only, amplify winners rather than rescue losers, trigger and stop conditions written in numbers before publish. Feeds test small and score fast regardless of who the buyer is.