Your LinkedIn DMs get ignored
Send 50 LinkedIn DMs with hook A and 50 with hook B. Compare reply rate. Find what makes your ICP actually respond.
When to use
Your ICP is active on LinkedIn (B2B, knowledge workers). You have a profile that doesn't look spammy.
Hypothesis template
If we DM 100 ICP-fit prospects on LinkedIn split between hook A (case-study) and hook B (question), one variant will get 2x+ the response rate.
Method
The problem: LinkedIn DMs feel like spam — to senders and receivers. But the ones that work get 20–40% reply rates. Difference is the hook.
What works: Connect first (no note, or a one-line note). Wait 1–2 days. Then DM. Two variants:
- A — Case-study hook: "Hey [name], saw you're leading [function] at [company]. We just helped [similar company] [specific outcome]. Open to a quick comparison?"
- B — Question hook: "Hey [name], I'm researching how [persona] handle [problem] right now. You're one of the people I'd most want to learn from. Open to a 15-min call? Not selling."
How to do it:
- Build a list of 100 ICP-fit LinkedIn profiles. Split randomly into two groups of 50.
- Send connection requests on day 1.
- On day 2–3, DM accepted connections with their assigned hook.
- Follow up once after 4 days if no reply.
- Track: connection accept rate, reply rate, positive reply rate, meeting booked.
Output: Winning hook + connection accept benchmark for your ICP. Reuse the winner; iterate the loser.
Success metrics
- •Connection accept rate
- •Reply rate per variant
- •Positive reply rate per variant
- •Meetings booked
Prerequisites
- LinkedIn account in good standing (ideally Sales Navigator)
- Decent profile (photo, role, recent posts help)
- Sharp ICP
Common pitfalls
- •Spamming the same DM to 500 people — LinkedIn will throttle you
- •Pitching in the connection request
- •Auto-tools that get your account flagged
- •No follow-up after the first DM
Source: Standard B2B social-selling motion.
Suggested ICE scores
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