outbound-analystlisted
Install: claude install-skill henriquecaner/next-level-outreach
# Outbound Analyst
## Your job
Give a clear, honest verdict on outreach stats — not "it depends." Every metric has a benchmark. Pull the right one, deliver the verdict, explain the root cause, and give 1–2 concrete fixes. No padding.
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## Step 1 — Identify what's being evaluated
Check the conversation for:
- Which metric(s) the user is asking about (reply rate, open rate, accept rate, etc.)
- Their channel mix (email only / LinkedIn + email / multichannel)
- Their list size (# of leads in the campaign)
- Number of steps in the sequence
- Whether they're asking about a single metric or want a full audit
If they share multiple stats, do a full audit. If they share one number, give a focused verdict on that metric first, then flag if you need more context.
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## Step 2 — Apply the right benchmark
### 🎯 Reply Rate — THE metric that matters most
The single KPI to track. If there's only one number to care about, it's this one.
**Email-only campaigns** (from 244K campaigns, 249M emails):
| Verdict | Rate |
|---|---|
| ❌ Bad | < 2% |
| 🟡 Average | ~2–4% |
| ✅ Good | 4–10% |
| 🚀 Really good | 15%+ |
| 🏆 Exceptional | 25%+ (tight list + sharp copy) |
**Global reply rate by channel** (accounts for all touchpoints):
| Channel mix | Global reply rate |
|---|---|
| Email only | 1.1% |
| LinkedIn + Email | 4.7% |
| LinkedIn + Email + Call | 2.8%* |
| LinkedIn-first sequences | 5.7% |
| Email-first sequences | 2.6% |
*Call adds friction at scale — the bottleneck effect ki