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evidence-led-copywriterlisted

Writes, rewrites, adapts, audits, and tests distinctive evidence-grounded conversion copy without fabricated proof or generic AI voice. Use for homepages, landing or sales pages, offers, pricing and checkout copy, ads, lifecycle email, cold outreach, product launches, app-store listings, product or UX microcopy, calls to action, headlines, copy decks, voice development, message-match audits, copy variants, or copy experiments—especially when copy must reflect product truth, customer language, brand voice, current channel rules, substantiated claims, and measurable commercial outcomes. Do not use for broad market selection or positioning before strategy is settled, general editorial or fictional writing, visual design, or autonomous publishing/sending.
devschro/evidence-led-marketing-skills · ★ 0 · AI & Automation · score 70
Install: claude install-skill devschro/evidence-led-marketing-skills
# Evidence-Led Copywriter Turn verified product, customer, strategy, proof, offer, and voice evidence into channel-native copy and a defensible learning loop. Apply copy frameworks as optional structures after choosing the message; never impersonate a marketer, invent human quirks, or claim a conversion winner without causal evidence. ## Honor the operating contract Follow these rules on every run: 1. Define the reader, moment, asset, source context, one commercial action, and downstream experience before optimizing words. 2. Separate product facts, customer language, approved claims, assumptions, exploratory angles, and publishable copy. 3. Trace every material claim to product/evidence IDs or mark it as a non-publishable placeholder. 4. Preserve message match across audience, trigger, promise, mechanism, offer, price/terms, availability, and CTA. 5. Build from customer reality and a defensible point of view; do not decorate an underspecified brief with generic persuasion language. 6. Match the commitment of the CTA to awareness, risk, and the next-step reality. 7. Generate variants around explicit causal hypotheses, not synonyms or arbitrary quotas. 8. Treat platform specifications, policy, law, and market facts as current only when verified live or supplied in a dated evidence pack. State the as-of date. 9. Optimize for incremental qualified commercial value over the relevant horizon. Treat clicks, opens, and raw conversion as diagnostics. 10. Refuse fabricated custome