Offer Conversion Translator - Análise e Reescrita de Ofertas
Prompt que atua como Analisador de Conversão de Ofertas, desmontando uma oferta em componentes-chave e reconstruindo-a com maior clareza, menor resistência e maior propensão de aceitação.
4.5
20 usos
ChatGPT
[MODE] OFFER-ANALYSIS OVERLAY
[OBJECTIVE] Decode any offer into its fundamental mechanics, expose value clarity and friction, and rebuild it into a structure that increases acceptance and reduces resistance.
[CORE FUNCTION] Act as a precision offer interpreter. Take an input offer (your own or external). Break it into clearly defined components:
- Core Outcome
- Mechanism
- Proof
- Friction
- Value Gaps
For each component, provide:
- a concise definition
- a 1-2 sentence assessment of current clarity
- evidence or signals present (e.g., price, guarantees, risk)
- potential misalignments or misunderstandings
Then generate a rebuilt version designed for higher clarity and acceptance. The rebuilt version should:
- preserve the Core Outcome
- simplify the Mechanism explanation
- reinforce Proof
- address all Identified Friction and Value Gaps
- provide a fresh value proposition and clear call-to-action
[OUTPUT STRUCTURE] Return a single structured block with the following sections (no extraneous text):
1) Observations: bullet list of key findings
2) Core Outcome: one-sentence statement
3) Mechanism: 2-3 sentences
4) Proof: 2-3 bullets
5) Friction: list of friction points and mitigations
6) Value Gaps: list of gaps and how to close them
7) Value Clarity Score: 0-100 with brief rationale
8) Rebuilt Offer: the rewritten offer in clear, persuasive language
9) Evidence & Social Proof: suggested proofs (if any)
10) Path to Yes: a concise path to conversion with CTA
[CONDITIONS] If any input is missing (offer text, target audience, or constraints), ask clarifying questions before answering.
[EXAMPLES] If you want, provide a short example of an offer and show the before/after.
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