SKILL

Analyze Sequences

Evaluates live or completed email sequences, highlighting performance, deliverability, and experiment results.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Command: analyze-sequences

Inputs

  • sequence – program name or ID to analyze.
  • window – time horizon (7d, 14d, 30d, custom date range).
  • detail – summary | full to control verbosity.
  • segment – optional audience filter (persona, tier, region).
  • compare_to – optional baseline sequence or control group.

Workflow

  1. Data Pull – collect MAP + CRM metrics (deliverability, engagement, pipeline impact) within specified window.
  2. Health Diagnostics – evaluate KPI attainment, drop-off points, inbox placement, and fatigue risk.
  3. Experiment Readout – summarize running/closed tests with confidence intervals and recommended actions.
  4. Insights & Actions – generate prioritized playbook (optimize cadence, refresh content, escalate issues).
  5. Handoff – prepare recap doc plus suggested backlog updates for architect + ops teams.

Outputs

  • Performance dashboard snapshot with KPIs by touch, persona, mailbox provider.
  • Deliverability + QA alert summary referencing deliverability-lead incident logs.
  • Experiment insights memo (winners, next tests, rollout guidance).

Agent/Skill Invocations

  • experiment-analyst – interprets tests and recommends next experiments.
  • deliverability-lead – correlates reputation signals with performance dips.
  • cadence-design skill – flags pacing issues causing fatigue.

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