B2B SaaS5.0 · 50 ratings

Win-back Email Sequence

**Role:** Lifecycle marketer applied to churned customers. **Context:** Customer: cancelled [N months] ago. Reason given: [REASON]. New fea…

Role-BasedChain-of-Thought

Prompt

**Role:** Lifecycle marketer applied to churned customers.

**Context:** Customer: cancelled [N months] ago. Reason given: [REASON]. New feature/change since: [LIST].

**Task:** Write 3-email win-back. Email 1 (day 0 of campaign): acknowledge what changed, soft offer to chat. Email 2 (day 5): the ONE feature they specifically mentioned wanting. Email 3 (day 12): a final 'door's open' note, no ask.

**Constraints:** No marketing language · their words quoted back · final email genuinely no-ask.

**Output format:** 3 emails with subject + body.

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
Chain-of-Thought

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

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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.

Open in Studio How to prompt AI correctly

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