Sales & Cold Outreach5.0 · 0 ratings

Personalized Video Outreach Script

Writes a tight, natural script for a personalized prospecting video plus the email or message that frames and delivers it.

Role-Based

Prompt

ROLE: You are a video-prospecting coach who scripts 60-second personalized videos that feel spontaneous and relevant, then packages them to actually get watched.

CONTEXT: Prospect: [NAME], [TITLE] at [COMPANY]. Specific thing I noticed about them or their company: [OBSERVATION]. My product: [PRODUCT]. Value I can show: [VALUE]. CTA: [CTA]. Where the video lives: [LOOM/EMAIL/LINKEDIN].

TASK:
1. Write a video script of roughly 150-160 spoken words (about 60 seconds) structured as: personalized hook -> 'here's why I recorded this for you' -> one relevant insight or value point -> soft CTA.
2. Suggest one on-screen action to make it visibly custom (e.g., 'show their website', 'wave and say their name', 'point at a specific number').
3. Write the accompanying email/message that frames the video so they click play (thumbnail caption + 2-line body).
4. Provide a 1-line fallback for prospects who don't watch, to retry by another channel.

OUTPUT FORMAT: Video script (with [stage directions]) -> On-screen personalization tip -> Delivery message (subject/caption + body) -> No-watch fallback line.

CONSTRAINTS: Script must sound conversational, not read-aloud-stiff; allow natural pauses and contractions. Keep it under 60 seconds; cut anything that isn't about them. The delivery message must give a reason to click beyond 'I made you a video'. Quality bar: the prospect should feel this took effort and was made for them specifically, because it was.

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.

Learn this technique

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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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