What problem does it solve?
This Skill helps you determine whether your outbound metrics (like reply rate, open rate, LinkedIn accept rate, and PRR) are good or underperforming by comparing them to real lemlist benchmarks from hundreds of thousands of campaigns.
Core Features & Use Cases
- Evidence-based verdicts: Gives a clear good/bad judgment for each metric using the correct benchmark instead of vague “it depends” advice.
- Root-cause diagnosis: Identifies the most likely reasons a metric is weak (e.g., deliverability/warmup, copy mismatch, targeting/I CP issues, CTA mismatch).
- Actionable fixes: Recommends 1–2 concrete improvements tailored to the user’s context (channel mix, list size, and sequence steps).
- Focused or full audit: Runs a full audit when multiple stats are provided, or starts with the most important KPI first when only one metric is shared.
- Metric prioritization: Guides troubleshooting in an efficient order—warmup/deliverability first, then reply rate, then LinkedIn accept rate, then PRR, and finally open rate.
Quick Start
Ask: “Use outbound-analyst to benchmark my campaign stats: reply rate __%, PRR __%, LinkedIn accept rate __%, list size __ leads, and sequence steps __, and tell me what to fix next.”
