Personalize Outbound at Scale Using LinkedIn Data
The problem
Generic cold emails get few replies, and reps cannot manually research every prospect on a high-volume list.
Implementation steps
- 1
Import prospect list to Clay (name, company, LinkedIn URL)
- 2
Use Claygent to scrape recent LinkedIn posts and extract topics
- 3
Generate personalized first line referencing their post topic
- 4
Use Clay AI to write custom icebreaker based on post content
- 5
Push to Instantly campaign with dynamic merge tags
Template outline
The structure to recreate in your own workspace. Field names and thresholds are starting points.
Clay Table:
- Input: CSV with LinkedIn URLs
- Column 1: Claygent scrapes last 3 LinkedIn posts
- Column 2: Extract topics (AI prompt: "Summarize topics in 3 words")
- Column 3: Generate opener (AI prompt: "Write 1 sentence referencing {{topic}}")
- Column 4: Instantly HTTP API to add contact with custom field {{opener}}Keep going
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