AI prompt to win back former or lapsed clients

Keeping a client is usually easier than finding a new one, and renewal is when clients shop around. AI helps agents reach out before renewal, explain changes clearly and spot clients who may be about to leave.

Below is a ready-to-copy prompt to win back former or lapsed clients, a detailed version that asks you clarifying questions first, and 2 specialized AI tools (GoHighLevel and HubSpot) with instructions for this task. It also works in ChatGPT, Claude, Gemini or Copilot.

This page includes an affiliate link (GoHighLevel). We may earn a commission at no extra cost to you. Tools are ordered by fit for the task, never by payout. Disclosure

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The prompt

Write a respectful win-back email to a former client whose policy lapsed a year ago, offering a no-obligation review. No disparaging competitors, no price promises. Placeholder [First Name].

Detailed version (asks clarifying questions first)

Act as an experienced assistant to a licensed insurance agent. Before answering, ask me up to 3 clarifying questions (the line of business, your relationship with the client, and tone). Then complete this task, and finish with a short checklist of statements I should verify with my compliance team.

Task: Write a respectful win-back email to a former client whose policy lapsed a year ago, offering a no-obligation review. No disparaging competitors, no price promises. Placeholder [First Name].

What a good result looks like

A good win-back email is respectful and brief: it acknowledges they left, says you'd be glad to help again, offers a no-obligation review and doesn't criticize where they went.

Common mistakes and watch-outs

Don't disparage their current insurer or agent and don't promise lower prices. Only email former clients you're allowed to contact, with an opt-out. If they left because of a service problem, acknowledge it honestly. GoHighLevel or HubSpot can segment former clients by when they left.

How to adapt the prompt

Time it near their likely renewal date, and write versions for clients who left over price and those who moved. Ask for a short text follow-up.

EXAMPLE output (placeholder data, not a real client)

Subject: We'd love to help again, [First Name]

Hi [First Name],

It's been about a year since your policy with us ended, and I wanted to say thank you for the time you were a client.

If you'd ever like a second look at your coverage, especially around your renewal, I'm happy to do a no-obligation review. No pressure at all.

Reply here or book a time: [Booking Link]

[Agent Name], [Agency Name]
Unsubscribe: [Link]

How to use it

Copy the prompt. Copy the short prompt above, or the detailed version if you want the AI to ask clarifying questions first.
Fill in the placeholders. Replace [First Name] with your own details. Use placeholders or de-identified details; never paste client personal information.
Run it in the right tool. Paste it into ChatGPT, Claude, Gemini or Copilot, or use GoHighLevel and HubSpot as described below.
Review before you use it. Get consent before texting or auto-dialing (TCPA), and honor Do Not Call lists and opt-out requests. Check every fact, name and number yourself.
Take the next step. Next, see: Handle a cancellation request respectfully.

Best AI tools for this task

Specialized tools first, ordered by fit for this task (never by payout), then any general AI assistant.

GoHighLevel site ↗ Affiliate link

All-in-one sales and marketing automation platform (CRM, SMS/email follow-up, funnels).

How to use it

Create a win-back campaign for lapsed contacts with one email and one text spaced a week apart.

HubSpot site ↗

CRM and marketing platform with AI features.

How to use it

Build a list of lapsed clients and send a win-back email using contact tokens.

Any AI assistant

ChatGPT Claude Google Gemini Microsoft Copilot

Paste the prompt above (short or detailed) into any of these.

Before you use it

Get consent before texting or auto-dialing (TCPA), and honor Do Not Call lists and opt-out requests.
Marketing emails need a working opt-out and your physical address (CAN-SPAM).
Don't promise savings or specific rates.
Never paste client personal information (names, policy numbers, health or financial details) into AI tools your agency hasn't approved.
Review every AI output for accuracy and compliance before you use it.

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