Library/Outreach & Messaging/Personalization & Account-Based Messaging/Write a Scalable Semi-Personalized ABM Email
TestedOutreach & MessagingQuick Win (under 10 min)
About this prompt
This prompt helps marketers and SDRs write ABM outreach that feels personal to each account while remaining efficient across a full segment. It structures the email with a segment-specific hook, shared pain point, and a call to action calibrated for programmatic sending. Use it when you're running a named-account campaign and need copy that converts without requiring fully custom research per contact.Running an account-based campaign at scale requires a different writing discipline than one-off personalization — the message needs to feel like it was written for one person while actually working for dozens. This prompt helps you construct an email with a segment-level insight as the hook, a problem statement that resonates across the ICP, and a CTA that's low-friction enough for cold accounts. Plug in the vertical, account count, and your solution category to get output calibrated to your segment. Use it for the middle layer of your ABM sequence — after the ultra-personalized first touch to Tier 1 accounts, and before the fully generic nurture for Tier 3. For best results, specify two or three firmographic traits the segment shares so the AI can write to a recognizable pain pattern rather than a generic description.The prompt
I'm running an Account-Based Marketing campaign targeting [NUMBER] accounts in [VERTICAL/SEGMENT]. I want to send a semi-personalized email that feels 1:1 but is scalable across the segment.
Write a
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Variables to replace
NUMBER|VERTICAL/SEGMENT|VERTICAL|COMPANY NAME|PERSONALIZED LINE|PAIN|STORY OR 'GENERATE ONE'
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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