Analyse outreach sequence performance Prompt
Prompt
Analyse this outreach sequence and tell me how to improve it. Sequence purpose: [what it targets] Performance by email: [Email N]: Subject: [subject] · Open: [%] · Reply: [%] Industry benchmarks: [if known] Please: 1. Diagnose where the sequence breaks down 2. Rewrite subject lines for below-average open rates 3. Rewrite the worst-performing email body 4. Suggest one structural change to the overall sequence 5. What to A/B test first
Why it works
Diagnosing sequence performance by email rather than in aggregate identifies exactly where the drop-off occurs — an open rate problem and a reply rate problem require completely different fixes. Asking for subject line rewrites for below-average openers produces immediately actionable improvements rather than general advice. Including industry benchmarks as an input enables the analysis to distinguish between sequences that are performing poorly versus sequences that are performing at industry average but could be better.
Watch out for
Outreach sequence analysis based on open rates is increasingly unreliable due to Apple Mail Privacy Protection, which artificially inflates open rates for iOS users. If your sequence data doesn't clearly separate tracked vs. untracked opens, reply rate and click rate are more reliable performance signals. Also ensure your sequence complies with CAN-SPAM and GDPR requirements before scaling — legal exposure from non-compliant sequences grows with volume.
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