Measured copy patterns · public sample

Memory VSL Copywriting Dataset

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

6,045

high-confidence patterns

22

processed transcripts

17

distinct products

22 / 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
authoritymechanism storyVishwa Rajakumar, elderly grand prize winner of the World Memory Championship from India0.94
avatarproblem agitationPeople who care for their bodies but are unaware of brain-level toxicity and memory decline0.88
ctaproof offerBreak free and ensure independence; claim one of the 79 bottles now0.92
hookopeningA 30-second daily trick brought back 20-year-old level memory in parents0.92
mechanismopeningRemoval of cadmium chloride toxic metal accumulation from the body0.91
painproblem agitationDepletion of acetylcholine leading to memory loss and cognitive decline0.93
promisemechanism storyRestores mental clarity and ability to recognize family members0.94
social_proofopeningPersonal testimonial from a Hollywood legend who reversed early-onset Alzheimer's and recovered memory function0.96
tacticopeningScarcity through small-batch manufacturing and limited production capacity0.85
urgencymechanism storyInformation is being suppressed and censored; speaker's account removed multiple times, creating scarcity of access0.88

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