Sales

What is Win Rate?

Win Rate shows the percentage of deals successfully closed by the sales team. It helps assess sales performance and effectiveness.

Full FormWin Rate
CategorySales
UnitPercentage (%)
Higher IsBetter
FORMULA

How to Calculate Win Rate

Win Rate measures the percentage of deals successfully closed, reflecting sales effectiveness. A higher win rate means better targeting and pitching, helping evaluate sales performance. It supports coaching and strategy improvements.

Win Rate Formula
Win Rate=
Deals Won
Total Deals
× 100

Simple Example

If you closed 48 deals out of 120 opportunities:

Win Rate = (48 ÷ 120) × 100 = 40%
120
Deals
48
Wins
40%
Win Rate

Marketing Platforms that supports Win Rate

These platforms provide the data needed to measure or calculate Win Rate in Two Minute Reports.

Most Popular
Shopify

Shopify

E-Commerce
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MySQL

MySQL

Database
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API Bridge

API Bridge

Other sources
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HubSpot

HubSpot

Customer relationship management
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Frequently Asked Questions

Win rate measures the percentage of sales opportunities that result in closed-won deals, calculated as: (Closed-Won Deals / Total Opportunities) × 100. If your team had 50 opportunities and closed 15, your win rate is 30%. This metric reveals sales effectiveness, competitive positioning, product-market fit, and qualification quality. Win rate is typically calculated for opportunities that progressed past initial qualification—including early-stage leads that never develop would artificially deflate the metric. High win rates indicate strong sales execution and well-qualified pipelines. Low rates suggest poor qualification, weak competitive positioning, or sales skill gaps. Track win rates by rep, product, deal size, and competitor to identify specific improvement opportunities and patterns.
Win rate and close rate are often used interchangeably but can have distinct meanings depending on context. Win rate typically measures won deals as a percentage of all decided opportunities (won + lost), excluding still-open opportunities: Wins / (Wins + Losses). Close rate includes all opportunities in denominator regardless of status: Wins / All Opportunities, making it lower since it includes open deals not yet resolved. Some organizations use 'close rate' to include both won and lost (any closure) while 'win rate' measures only won deals. Clarify definitions within your organization for consistent measurement. The key insight both metrics provide is sales effectiveness—how often do opportunities convert to revenue versus being lost to competitors or no-decision?
Average win rates vary by industry, sales model, and deal complexity. B2B companies typically see 15-30% win rates overall. Enterprise software sales average 20-25%. Mid-market B2B SaaS often achieves 25-35%. High-velocity inside sales can reach 30-40% or higher. Complex, competitive enterprise deals might see 10-20%. Rates below 15% suggest poor qualification or positioning issues. Rates above 40% might indicate insufficient pipeline building—teams playing it too safe. Win rates for well-qualified opportunities (SQL and beyond) should be higher than top-of-funnel rates. Track close-lost reasons to understand specific competitive or objection patterns. Rather than fixating on benchmarks, focus on continuous improvement and beating your own historical baseline.
Improving win rates requires better qualification and sales execution. Tighten qualification criteria to pursue only well-fit opportunities with genuine need, budget, and timeline. Develop strong discovery skills that uncover real pain points and buying criteria. Build relationships with multiple stakeholders, not just single champions. Differentiate clearly against competitors by understanding their weaknesses and your unique strengths. Provide compelling ROI business cases that justify purchases. Address objections proactively before they become deal-killers. Create urgency through limited-time incentives or capacity constraints. Use social proof via case studies and customer references relevant to prospect's situation. Train on consultative selling focused on customer outcomes rather than product features. Analyze lost deals systematically to identify patterns and address recurring issues.