Library/Outreach & Messaging/Personalization & Account-Based Messaging/Personalize Cold Emails at Scale from LinkedIn Profiles
TestedOutreach & MessagingQuick Win (under 10 min)

Personalize Cold Emails at Scale from LinkedIn Profiles

Generate personalized openers, subject lines, and full cold emails from LinkedIn profile data, plus a reusable

About this prompt

This prompt takes pasted LinkedIn profile data and generates a personalized opener, inferred pain point, subject line, and complete cold email for each profile. It also produces a reusable template with [PERSONALIZED_OPENER], [INFERRED_PAIN], and [SUBJECT_LINE] placeholders ready to drop into an email automation system. SDRs and BDRs running high-volume prospecting sequences should use it when they have a list of named prospects and LinkedIn access but need to move faster than manual personalization allows.Generic cold email sequences fail because buyers can tell when the personalization is performative. This prompt bridges the gap between scale and specificity by extracting a genuine detail from each LinkedIn profile and using it to anchor the personalization — not just a name-and-company merge field. For each profile pasted into [PASTE PROFILE 1] and [PASTE PROFILE 2], the output includes a one-sentence opener under 20 words, an inferred pain point based on the prospect's role and company stage, a subject line that references something concrete from their background, and a full 100-word email. The final deliverable is a reusable template with named placeholders ([PERSONALIZED_OPENER], [INFERRED_PAIN], [SUBJECT_LINE]) structured for import into your sequencing tool. Use this prompt when you have a list of 10 or more named accounts and need personalization that would normally require individual manual research. It's less useful for single one-off emails where you can personalize manually — save it for batch work. For best results, paste the full LinkedIn summary section and any recent posts rather than just the headline; the richer the profile data, the more specific the opener.

The prompt

I want to personalize cold emails at scale using LinkedIn data. For the following LinkedIn profile, generate: 1. A one-sentence personalized opener (under 20 words) that references a specific detail 2
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Variables to replace

PERSONALIZED_OPENER|INFERRED_PAIN|SUBJECT_LINE|PASTE PROFILE 1|PASTE PROFILE 2

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. 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

StageProspecting
SeatSDR, BDR, AE
DifficultyIntermediate
Time to valueQuick Win (under 10 min)
Works withAI-Agnostic
CategoryOutreach & Messaging
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