Growth idea action plan
Scrape competitor LinkedIn followers to build a high-intent cold email list
Instead of buying generic lists, scrape followers of competitor tools on LinkedIn, enrich/verify the list, then email with a “we noticed you use X” opener plus one sentence of relevant social proof and a soft CTA.
Why this can grow a startup
Cold email works when the list carries intent. People who follow or use a competitor already understand the problem and have budget allocated, so your message is not educating from zero — it’s offering a better path. The opener is believable because it explains why you’re reaching out (competitor adjacency), the social proof reduces perceived risk, and the soft CTA lowers commitment. This also avoids the classic outbound trap where you optimize copy while your list is fundamentally cold.
Ian's take
From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. Founder-led distribution works when it is proof-led. I would not post theory for this. I would show what changed, what surprised me, what I would do again, and what an operator should try next. For acquisition, I would keep the first test narrow enough that a clear yes or no is possible. Broad reach is not useful if the signal is muddy. For this tactic, I would watch 2.3% reply rate (competitor-follower list); 2.1% reply rate across 70% of results before putting more time or budget behind it.
Action plan
- Define one narrow startup segment where scrape competitor linkedin followers to build a high-intent cold email list can create a measurable lift.
- Turn the tactic into one offer, page, campaign, or workflow for the Outbound and LinkedIn channel.
- Use the evidence from reddit.com to set the first version of the message, format, and audience.
- Launch a small test for 7 to 14 days with one success metric: 2.3% reply rate (competitor-follower list); 2.1% reply rate across 70% of results.
- Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.
Source-backed example
An operator running outbound for a B2B SaaS reported testing 18 opener frameworks across ~484k sends. Their best-performing approach targeted followers of competitor tools; they said competitor-follower scraping produced ~70% of their results with ~2.1% reply rate, and their “how we found you + one-line social proof + soft CTA” pattern hit ~2.3% reply rate.
Result: 2.3% reply rate (competitor-follower list); 2.1% reply rate across 70% of results
Source: reddit.com
Last checked: May 27, 2026 19:18 GMT+0800
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