Measured copy patterns · public sample

Erectile Dysfunction VSL Copywriting Dataset

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

1,925

high-confidence patterns

8

processed transcripts

8

distinct products

8 / 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 agitationA Brazilian doctor with a revolutionary study explaining the root cause of small penis size0.92
avatarproof offerGood, hard-working men concerned about penis size and sexual performance0.90
ctaopeningPurchase immediately before bonuses expire and stock sells out0.92
hookmechanism storyThe holy grail of penis enlargement,results so surreal the speaker initially kept them secret0.90
mechanismproof offerBlood vessel expansion to accommodate tissue growth0.84
painproof offerMen experiencing humiliation due to having a small penis0.95
promiseopeningTransform your partner's attraction and behavior: women become aroused by your pheromones and experience extreme sexual desire0.92
social_proofproof offer47,892 treatments with zero refund requests or warranty claims0.93
tacticopeningBiological inevitability framing,women's primitive brains hardwired to respond to size0.88
urgencyopeningLimited-time opportunity; act now or lose the chance0.92

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