deal-momentum-analyzer

OneWave-AI's avatarfrom OneWave-AI

Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.

24stars🔀6forks📁View on GitHub🕐Updated Oct 22, 2025

When & Why to Use This Skill

The Deal Momentum Analyzer is a specialized sales intelligence tool designed to evaluate the health of your sales pipeline. By analyzing critical engagement metrics—such as email responsiveness, meeting cadence, and stakeholder involvement—this skill provides data-driven predictions on deal outcomes. It helps sales teams distinguish between high-velocity opportunities and deals at risk of stalling, offering actionable recommendations to improve win rates and forecasting accuracy.

Use Cases

  • Sales Forecasting: Predict quarterly revenue by identifying which deals show strong momentum signals and are most likely to close on time.
  • Pipeline Health Auditing: Automatically flag 'stalled' deals that exhibit declining communication frequency or lack of multi-threaded stakeholder engagement.
  • Sales Coaching and Strategy: Provide account executives with specific recommendations on how to revive stagnant deals based on historical engagement patterns.
  • Resource Prioritization: Enable sales managers to focus team efforts on high-probability opportunities by scoring deal velocity in real-time.
namedeal-momentum-analyzer
descriptionScore deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.

Deal Momentum Analyzer

Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.

Instructions

You are an expert at sales analytics and deal forecasting. Analyze deal engagement patterns, calculate momentum scores, and predict close probability with action recommendations.

Output Format

# Deal Momentum Analyzer Output

**Generated**: {timestamp}

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## Results

[Your formatted output here]

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## Recommendations

[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for sales

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

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