Headwater.
Audience-led businesses operate blind to their conversation layer. Generic sentiment tools collapse meaningful signal into “positive / negative / neutral” and miss the dormant advocates, the cooled warm leads, and the ranked product-demand language sitting in the comments.
Educators and enterprise clients with content-driven business models, where audience response is a leading indicator and decisions about format, pricing, and product direction depend on reading the room accurately. Two tracks: a Creator Program for educators and online creators, and a Brands & Studios track for SaaS, gaming, media, and market research.
A productized intelligence service grounded in three meta-analyses encompassing 1,532+ effect sizes and designed against the documented failure modes of commercial sentiment tools. Complete-population analysis at the individual commenter level: every statistic traces to a computed value, every quote traces to a specific person on a specific piece of content.
Viewers explicitly requested deeper content on a specific topic. Ranked first by purchase-intent language.
“I would 100% pay for a full course on this” · viewer comment, 340 likes
Previously engaged viewers stopped commenting after a format shift. Last comments were positive. They didn’t leave unhappy.
Comments at 500+ likes expressing outcomes and trust: better sales copy than a copywriter would produce.
A representative engagement reads 30,000+ comments across 17,000+ unique participants, surfacing 200 dormant advocates and a ranked product-demand inventory. Findings are delivered with citation-grade traceability rather than aggregate scores.
I can productize a research methodology into a delivered service: complete-population community analysis with citation-grounded findings, sold to creators and enterprise.