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ekatasingh1107
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sequence-analyzer

Analyzes email sequence metrics to identify drop-offs and optimization opportunities.

2|Updated Apr 11, 2026
Search Tags:#analytics#optimization#email#crm#benchmark#sequence#analyze
One-click install
npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill sequence-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sequence-analyzer
Source: https://github.com/ekatasingh1107/b2b-gtm-skills/tree/main/skills/composites/sequence-analyzer
Command: npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill sequence-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes email sequence performance by aggregating metrics such as opens, clicks, replies, and conversions to identify drop-offs and optimization opportunities.

Core Features & Use Cases

  • Consolidates per-email sequence metrics for clear visibility into where prospects engage or disengage.
  • Benchmarks performance against defined industry or agency targets to prioritize optimization efforts.
  • Generates actionable recommendations and supports optional rewrites or A/B testing ideas.

Quick Start

Run the sequence analyzer on your dataset to reveal optimization opportunities and benchmark-driven improvements.

Frequently Asked Questions about sequence-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze email sequence performance to find where prospects drop off?▼

Email sequence performance is analyzed by aggregating opens, clicks, replies, and conversions to identify per-step drop-offs. The Skill consolidates per-email metrics to reveal exactly where prospects disengage so you can prioritize optimization efforts effectively.

Can I use CRM exported data to benchmark my email sequence metrics?▼

CRM exported data can benchmark email sequence metrics against defined industry or agency targets. The analysis requires an authenticated data source and an existing agency configuration file containing benchmarks to compare your sequence performance against baseline targets.

What is the best way to optimize email sequences using open and click data?▼

Optimizing email sequences using open and click data involves aggregating per-email metrics to identify engagement drop-offs. The analysis benchmarks these metrics against defined targets, generating actionable recommendations and optional rewrite or A/B testing ideas for improvement.

Does the sequence analyzer support manual data inputs or only CSV exports?▼

The sequence analyzer supports manual inputs, CSV exports, and CRM-exported data. It processes sequences of varying length with per-email or per-step granularity, allowing you to analyze performance regardless of your data input method.

Do I need an agency configuration file to benchmark sequence performance?▼

An existing agency.config.json file is required to benchmark sequence performance. This configuration file provides the industry or agency targets required to compare your aggregated email sequence metrics and prioritize optimization opportunities.

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