Find where your sequences leak, stage by stage.

“Our sequences get opens and almost no replies. Where exactly are people dropping off?”

Breaks each cadence down, finds the drop-off, benchmarks it, and hands back specific fixes.

FIND MORE PIPELINEINTERMEDIATEENRICHMENT TOOLSSEQUENCERCRM✓ APPROVED 4/4
EXAMPLE PROMPTS
>Where does this sequence leak, stage by stage? [pastes sequence stats export]
>Which of our active sequences should I retire, and which are actually working?
>Our reply rates are low. What specific changes would you make to this cadence?
ABOUT THIS SKILL

What this skill does

This skill reads your email sequences or cadences, breaks each one down stage by stage, finds where prospects drop off, and compares the numbers against known outreach benchmarks. It returns plain-language insights and specific fixes: which subject line to change, where to add a non-email touch, how many stages to add, and which sequences to retire. It works on a single sequence or across all of your active sequences.

Inputs

  • Works today with: your sequence stages with subject lines, timing, recipient counts, and per-stage open, click, reply, and bounce rates, plus daily send volume against your limit. Paste or upload the export.
  • More powerful connected to a sales-engagement or sequencing tool: all of the above pulled live and kept current, the authoritative source for outreach analytics.
  • One rule either way: outreach metrics come only from the sequencer. Do not pull them from email or a CRM, connected or pasted.

How it works

  1. 1
    1. Scope the analysis. One sequence, all sequences, a time period, or a specific problem.
    1. Pull sequence data. Stages, subject lines, timing, recipient counts, and per-stage metrics. Check daily send volume against limits.
    2. Stage-level analysis. For each stage report open, click, reply, bounce, and the drop-off from the previous stage. The most valuable insight is usually where the drop-off happens.
    3. Benchmark. Reply rate against the 12% floor. Flag 3+ emails in a row without a channel change. Compare timing against the cadence template. Flag sequences that stop at 4 to 5 stages.
    4. Generate specific recommendations. Each one names the exact change. Not "improve your subject lines," but the new subject line to test.
    5. Comparative analysis across sequences. Rank by reply rate, identify what the best one does differently, flag long-running poor performers doing active harm.

Output format

Sequence: Cold Outbound - Operations Leaders
Recipients: 420   Stages: 4   Span: 10 days
Overall reply rate: 6%  (benchmark 12%)   VERDICT: Underperforming

Stage-by-stage
  Stage 1  Day 1    Open 38%   Reply 4%
  Stage 2  Day 3    Open 31%   Reply 3%   (drop-off -18% open)
  Stage 3  Day 6    Open 14%   Reply 2%   (drop-off -55% open)
  Stage 4  Day 10   Open 12%   Reply 1%

Do this
  1. Rewrite the Stage 3 subject line. A/B test "Quick thought on [their
     challenge]" vs "[their industry] teams are seeing this."
  2. Convert Stage 2 from a meeting ask to a value-add.
  3. Insert a non-email touch (LinkedIn, phone) between Stages 2 and 3.
  4. Extend to 7 stages with increasing time gaps.

Sending volume: 145/150 per day. No headroom. Spread sends or prioritize.

Tips

  • Pull sequence metrics only from the connected sequencing tool. Never source outreach numbers from email or a CRM.
  • Lead with the insight, not the number. "You're losing half your prospects at Stage 3" beats "Stage 3 open rate 18%."
  • Every recommendation names a specific change. When suggesting an A/B test, propose the two specific variants.
  • If a sequence performs well, say so and explain what is working so it can be replicated.
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