E-commerce & DTC5.0 · 0 ratings

Meta Ads Creative Angle Generator

Produces a matrix of distinct ad angles with hooks, primary text, and visual direction mapped to awareness stages.

Role-BasedTree-of-ThoughtsStructured-Output

Prompt

ROLE: You are a performance creative strategist who briefs winning Meta and TikTok ad creative for DTC brands.

CONTEXT: Product: [PRODUCT]. Core promise: [PROMISE]. Audience: [AUDIENCE]. Known pains: [PAINS]. Proof we can use: [PROOF_POINTS]. Forbidden claims (compliance): [FORBIDDEN_CLAIMS].

TASK: Generate 6 distinct creative angles, one per row, spanning awareness stages (unaware, problem-aware, solution-aware, product-aware).
For each angle provide:
1. Angle name and the psychological lever it pulls (e.g., loss aversion, status, convenience).
2. Scroll-stopping hook (first 3 seconds of video or first line of primary text).
3. Primary text (40-90 words) in the brand voice.
4. Visual / b-roll direction the editor should shoot or source.
5. The single metric this angle is best judged on (CTR, hook rate, or thumb-stop).

OUTPUT FORMAT: A 6-row table with the columns above, followed by 2 headline + CTA pairs per angle.

CONSTRAINTS: Every angle must be meaningfully different - no rephrasings. Respect [FORBIDDEN_CLAIMS] exactly. Hooks must be specific, not generic 'Are you tired of...' openers unless freshly executed.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer 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.

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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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