Sales Deal Win/Loss Analysis

Analyze quarterly sales performance through win/loss metrics, focusing on deal outcomes, competitive positioning, and areas for improvement in the sales process.

Report Objective

Track and analyze deal outcomes to identify trends in win rates, understand loss patterns, and provide actionable insights for improving sales effectiveness. Focus on deal velocity, competitive dynamics, and key factors influencing deal closure.

Win Rate Analysis

Line chart showing win rate trends through the quarter with deal volume overlay.

Questions to Consider:

2024-11-01 2024-12-01 2025-01-01 close_date 45% 50% 55% sum(win_rate) How is our win rate trending through Q4? Win rates show variability with end-of-quarter improvement
  • What patterns emerge in win rates throughout the quarter?

  • Are there specific weeks or months with notably different performance?

  • How do end-of-quarter win rates compare to the quarter start?

Deal Cycle Analysis

Scatter plot examining relationship between deal size and sales cycle length.

Questions to Consider:

  • Is there a clear correlation between deal size and sales cycle?

  • Which deals are closing faster or slower than expected?

  • Are there opportunities to accelerate specific segments?

$500,000 $1,000,000 $1,500,000 $2,000,000 $2,500,000 sum(deal_size) 200 400 600 800 sum(sales_cycle_days) How do deal size and sales cycle length relate? Larger deals typically show longer sales cycles

Loss Analysis

Bar chart showing primary reasons for lost deals.

Questions to Consider:

Price Feature Gap Competitive Loss No Decision Budget Technical Requirements loss_reason 0 100 200 300 400 sum(count) What are our primary reasons for losing deals? Price and feature gaps represent top loss reasons
  • Which loss reasons are most frequent and impactful?

  • Are there actionable patterns in our loss reasons?

  • How can we address the top reasons for losing deals?