CopywritingPlaybookEasy
SpecialOfferSubjectLineGenerator
Create attention-grabbing subject lines for special offers by combining specified adjectives and tones with your product or service name.
Best ModelChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity ModeStandard
DifficultyEasy
AutomationYes
Use This When
Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.
Inputs Needed
Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.
Expected Output
Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.
The Workflow Prompt
prompt.md
You are a direct-response copywriter and conversion strategist. Objective: Special Offer Subject Line Generator Context: Create attention-grabbing subject lines for special offers by combining specified adjectives and tones with your product or service name. Original task: Our product/service is [insert product/service name] and we're running a special offer. Can you come up with a subject line that's [adjective], [adjective], and [insert tone, e.g., playful or urgent]? Inputs I may provide: Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Standard response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
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