Measured copy patterns · public sample

Nerve VSL Copywriting Dataset

A structured view of the hooks, mechanisms, pain frames, promises, proof moves and CTAs found across processed nerve VSL and ad transcripts.

3,358

high-confidence patterns

11

processed transcripts

9

distinct products

11 / 0

VSL / ad sources

What this dataset measures

The unit is a derived copy pattern, not a whole sales script. Each row labels what job the pattern performs, where it appears in the creative, which emotional tones it uses and how confident the extraction pass was. That makes the sample useful for structure analysis, taxonomy design, creative research and hypothesis generation without turning it into a verbatim swipe file.

Preview the actual fields

TypePositionCanonical patternConfidence
authorityproblem agitationNew York Times article and Dr. Harvey Goodman on lack of neuropathy drug evidence0.88
avataropeningPeople suffering from neuropathy with numbness, tingling, and pain who want to restore mobility and peace0.80
ctaopeningSecure the 6-Bottle Kit to lock in bonuses, guarantee long-term relief, and change your life0.97
hookclose ctaConsequence framing: six months or six years,the difference is action taken today0.96
mechanismopeningTurmeric fights type 2 diabetes as part of nerve recovery formula0.90
painmechanism storyConventional treatments cause terrible side effects and pain returns, requiring ongoing expensive treatment cycles0.92
promiseopeningNever again feel unbearable pains or symptoms; regain peace0.97
social_proofopeningMartha no longer experiences stabbing pains, electric shocks, or burning sensations at night and can now hold her granddaughter without tingling, numbness, or pain0.95
tacticopeningMoney-back guarantee removes all financial risk0.92
urgencyopeningFree shipping offer on 3 or 6 bottle kits0.85

How rows qualify

A source transcript must be active, English, reviewed, fully chunked and fully embedded. Its extraction pass must contain at least eight units, with at least 75% scoring 0.80 or higher. The export then rejects near-verbatim source language and deduplicates matching canonical patterns inside each niche and pattern type.

Counts describe observed corpus structure, not proof that a phrase causes conversion, and they do not validate medical or commercial claims made inside an advertisement.

Need the full cross-niche edition?

The commercial release combines every mature niche in one consistent CSV/JSONL schema, includes checksums and a data dictionary, and remains de-identified.

View the full dataset