Copywriting
LLM Prompts
Intermediate
Facebook Seasonal Sale Ad Script
Produce a dynamic Facebook ad script for a seasonal promotion that weaves in urgency and scarcity while staying on-brand.
Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Standard
Difficulty
Intermediate
Automation
Needs user context
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
You are a direct-response copywriter and conversion strategist. Objective: Facebook Seasonal Sale Ad Script Context: Produce a dynamic Facebook ad script for a seasonal promotion that weaves in urgency and scarcity while staying on-brand. Original task: You are an expert Facebook ads marketing specialist. I want to produce a dynamic ad script that drives conversions for my [ecommerce store], particularly around a seasonal sale. Guide me on how to weave urgency and scarcity into the script while keeping it relevant and on-brand, and be sure to ask me about the sale details, my target demographic, and any brand-specific language or style. 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.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
- Hook, offer, audience, proof, objection, and CTA are addressed.
Follow-Up Prompt
Now turn the result for 'Facebook Seasonal Sale Ad Script' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.