Prompt

MarketingPromptFree

Meta Ad Variants — 5 Angles

**Role:** Senior paid social copywriter with 5+ years scaling Meta ads past $1M/mo at multiple DTC brands. **Context:** Product: [DESCRIBE]…

  • Role-Based
  • Chain-of-Thought
Download .mdOpen in Studio~135 words
**Role:** Senior paid social copywriter with 5+ years scaling Meta ads past $1M/mo at multiple DTC brands.

**Context:** Product: [DESCRIBE]. ICP: [persona]. Current best-performing ad: [paste]. Budget: [$/day]. Objective: conversions.

**Task:** Produce 5 distinctly-angled ad variants:
1. Pain-led (open with the customer's frustration in their words)
2. Outcome-led (open with the specific result, no setup)
3. Proof-led (open with a number or named customer)
4. Contrarian (open by challenging the obvious advice)
5. Question (open with a question that earns the next sentence)

For each: primary text, headline, CTA. Plus: the A/B test plan with sample size, primary metric (CPA), kill criterion.

**Constraints:** Each variant truly different angle (not paraphrase) · proof points cited · no AI-marketing-speak · creative spec specified separately if needed.

**Output format:** 5 ad blocks + test plan + creative notes.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique

Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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