$ man icebreaker

Icebreaker

The opening line of a cold email that proves you researched the person. A specific observation, recent activity, shared interest, or company signal. Not "I see you're in SaaS." More like "saw your post on signal-based SDR workflows last week."

when I was an SDR sending 200 emails a day, I didn't have time for icebreakers. every email started the same. "Hey [name], I noticed you're a VP at [company]..." and they all got ignored. because everyone could tell I didn't actually look. now I automate the research part so the icebreaker is real. generic openers get deleted. specific icebreakers get replies. the first sentence is the filter.

every campaign I build has an {icebreaker} merge field in email 1. I don't write the icebreakers manually anymore. I have two paths depending on scale. path 1: a Clay research prompt that pulls LinkedIn profiles, recent posts, and headline data, then generates 1-2 sentence icebreakers. the prompt embeds the full email body so the AI writes it to flow naturally. path 2: an Exa SDK script that crawls each company's domain for case studies, news, and thought leadership — then outputs a CSV of contextual icebreakers ready to merge. I ran this across 73 companies in one session. the script hits site:{domain} for case studies, then runs a separate news search with date filters, cleans the HTML boilerplate, and outputs structured research per company. 73 companies, 150KB of contextual intel, zero manual research. that's the difference between spending a week on icebreaker research and spending an afternoon writing the script that does it for you.