Measured copy patterns · public sample

Prostate VSL Copywriting Dataset

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

2,084

high-confidence patterns

6

processed transcripts

5

distinct products

6 / 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 agitationDr. from the Sichuan Institute of Microbiology,a renowned Chinese researcher cited in a published study0.88
avatarmechanism storyMen aged 50-75, particularly vulnerable to prostate issues due to age-related DHP1 decline0.87
ctaproblem agitationChoose the six-bottle option for the best value and fastest transformation0.91
hookopeningRevolutionary prostate solution proven in study,results visible within 24 hours0.93
mechanismproblem agitationPrevotella bacteria accumulation in the prostate causes toxin buildup and blockages in urinary flow0.95
painproblem agitationSevere nighttime urinary frequency disrupting marriage and partner sleep0.95
promiseopening70-year-old men regaining strong urinary stream comparable to age 300.95
social_proofmechanism storyCustomer testimonial: resolved marital intimacy issues caused by nocturia; reduced nighttime urination from 6-7 times to normal sleep through0.96
tacticopeningCreating scarcity and suppression narrative,threatened by big pharma lawsuits0.92
urgencyproof offerLimited stock availability creates supply scarcity0.88

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