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ekatasingh1107
ekatasingh1107COMMUNITY
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win-loss-analyzer

Analyze closed-won and closed-lost deals to identify win and loss patterns.

2|Updated Apr 11, 2026
Search Tags:#crm#pipeline#analyze#competitive-analysis#deals#icp#win-loss
One-click install
npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill win-loss-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: win-loss-analyzer
Source: https://github.com/ekatasingh1107/b2b-gtm-skills/tree/main/skills/capabilities/win-loss-analyzer
Command: npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill win-loss-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates and analyzes closed-won and closed-lost deal records to surface repeatable patterns that explain wins and losses, helping teams refine ICP, messaging, pricing, and process.

Core Features & Use Cases

  • CRM or manual data ingestion: read agency.config.json and import CRM export or manually supplied deal lists for analysis.
  • Win analysis: identify sweet-spot segments, best channels, service demand, time-to-close patterns, and competitive advantages.
  • Loss analysis: surface primary loss reasons, deadliest pipeline stages, objection inventory, ghosting patterns, and competitor loss trends.
  • Cross-analysis & recommendations: produce segment win rates, risk factors, data quality assessment, and prioritized actions for ICP, messaging, process, and pricing adjustments.
  • Use case: run a 10-deal analysis to discover why proposal-stage deals are slipping and receive a ranked list of remediation steps.

Quick Start

Analyze the last 10 deals (won and lost) and generate a win-loss analysis with segment win rates, loss reasons, and actionable recommendations.

Frequently Asked Questions about win-loss-analyzer

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

FAQPage Schema
How do I analyze won and lost deals to find out why my sales pipeline is slipping?▼

Win-loss analysis processes your closed-won and closed-lost CRM deal records to identify patterns driving outcomes, surfacing loss reasons, ghosting trends, and actionable pipeline remediation steps.

What is win-loss analysis and how does it improve my ideal customer profile?▼

Win-loss analysis evaluates closed deals to calculate segment win rates and identify sweet-spot industries. It refines your ideal customer profile by revealing which channels, decision makers, and industries consistently drive closed-won deals.

Can I manually enter deal lists for competitive analysis if I don't have CRM access?▼

Yes, you can manually supply deal lists or import CRM exports for competitive analysis. Optional CRM access is available via agency.config.json, but structured manual data containing status, value, and industry is sufficient.

What's the best way to identify the deadliest pipeline stages where deals stall?▼

Analyzing closed-lost deal records identifies the deadliest pipeline stages by surfacing primary loss reasons and objection inventories. This cross-analysis reveals exactly where your proposal-stage deals are slipping.

What structured deal fields do I need to run a pipeline analysis on closed opportunities?▼

Pipeline analysis requires structured deal fields including status, value, dates, industry, decision maker, and source channel. Optional CRM access via agency.config.json allows direct ingestion of these closed-won and closed-lost records.

How do I compare competitor loss trends across my recent closed-lost deals?▼

Competitor loss trends are surfaced by analyzing closed-lost deal records to inventory objections and track which competitors consistently win against your team. This cross-analysis recommends messaging and pricing adjustments to counter losses.

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