sales-pipeline-analyzer
npx machina-cli add skill Yarmoluk/cognify-skills/sales-pipeline-analyzer --openclawSales Pipeline Analyzer
Analyzes sales pipeline health, identifies bottlenecks, calculates conversion rates by stage, forecasts revenue, and recommends improvements. Use when evaluating sales process efficiency, diagnosing pipeline leaks, building sales forecasts, or determining where deals are stalling.
What This Skill Produces
- Structured, quantified deliverables with specific dollar amounts
- Industry-aware analysis with built-in benchmarks
- Actionable recommendations with prioritized next steps
Access
This skill definition is available to Cognify clients and partners.
To learn more or request access: cognify.com | LinkedIn
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Source
git clone https://github.com/Yarmoluk/cognify-skills/blob/main/.github/skills/sales-pipeline-analyzer/SKILL.mdView on GitHub Overview
Analyzes pipeline health, identifies bottlenecks by stage, and calculates conversion rates to inform revenue forecasts. It delivers structured, quantified outputs with dollar amounts, uses built-in industry benchmarks, and provides actionable recommendations with prioritized next steps.
How This Skill Works
The skill ingests your pipeline data, computes stage-by-stage conversion rates, and flags bottlenecks. It then forecasts revenue using benchmarks and emits prioritized recommendations with expected dollar impact.
When to Use It
- Evaluating sales process efficiency
- Diagnosing pipeline leaks
- Building sales forecasts
- Determining where deals are stalling
- Benchmarking sales performance against industry standards
Quick Start
- Step 1: Connect your CRM pipeline data (stages, counts, and values).
- Step 2: Run the analysis to get stage-by-stage conversion, bottlenecks, and revenue forecast.
- Step 3: Review prioritized recommendations and implement improvements.
Best Practices
- Define clear, consistent pipeline stages and entry criteria
- Use up-to-date CRM data and accurate close dates
- Align benchmarks with your vertical, average deal size, and seasonality
- Review outputs regularly and validate revenue impact
- Assign owners and track progress on recommended actions
Example Use Cases
- Identify bottlenecks in mid-funnel where deals stall and propose actions to accelerate conversion
- Forecast next-quarter revenue by applying stage-wise conversion rates and average deal size
- Quantify the revenue impact of recommended pipeline changes with dollar amounts
- Benchmark current pipeline health against industry standards to spot underperforming stages
- Provide prioritized next steps with owners to close gaps in the funnel