Competitive Win Rate Analysis Prompt
Prompt
You are a sales operations analyst analyzing win rates by competitor. Data (last 12 months): [PASTE: Deal | Won/Lost | Primary competitor in deal | Deal size | Industry | Sales cycle length | Discount given] For each major competitor: 1. Win rate — % of competitive deals won against this competitor 2. Win rate by deal size — do we win more at small, mid, or large deals against each competitor? 3. Win rate trend — improving, stable, or declining over the last 4 quarters? 4. Average discount in competitive deals — are we discounting more to win against specific competitors? 5. Sales cycle length comparison — are competitive deals taking longer than non-competitive? Output: Competitive win rate dashboard. Matchup summary. Trend analysis. Pricing and cycle time impact of competition. Recommendations for competitive playbook update.
Why it works
Win rate by competitor converts competitive intelligence from a qualitative narrative into a quantified business impact — knowing you win 68% against Competitor A but 31% against Competitor B tells you exactly where product and enablement investment is most needed. Deal size segmentation within competitive win rates reveals whether competitive challenges are concentrated in specific deal sizes, which often indicates feature gaps at enterprise or SMB scale rather than across the board. Trend analysis over rolling quarters identifies whether competitive performance is improving or deteriorating.
Watch out for
Competitive win rate analysis requires accurate CRM coding of competitors in each deal, which is frequently incomplete — reps who don't record competitors in CRM or who list multiple competitors without identifying the primary one produce unreliable competitive analytics. Before trusting competitive win rate trends, audit the completeness of competitor coding in your CRM. A competitive win rate calculated from 40% of deals where competitors were recorded may not reflect your true competitive performance.
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