Only 71% of reps hit quota on average. Reverse-engineer your quota into daily targets to join the top 29% who consistently achieve their numbers.
Quota planning is the process of reverse-engineering your sales target into daily actionable goals. The formula is: Daily Opportunities Needed = (Quota ÷ Deal Size) ÷ Win Rate ÷ Days Remaining. With only 71% of reps hitting quota on average, this calculator helps you identify how many opportunities and deals you need to stay on track.
Break down your quota into daily actionable targets. Understanding the math behind quota achievement helps you plan proactively rather than react to missed numbers.
Industry median: 24% (at benchmark)
Deals Needed
4.8
To hit $200K quota
Opportunities Needed
20
At 24% win rate
Daily Pace
0.2
New opportunities per day
Pipeline Coverage
4.2×
Risk Level: Low (need 3.5× for safety)
17
Reduce by 4 opportunities
-17% effort
17
Reduce by 4 opportunities
-17% effort
15
Reduce by 5 opportunities
-25% effort
234 companies • Median attainment: 71%
189 companies • Median attainment: 74%
213 companies • Median attainment: 78%
179 companies • Median attainment: 68%
Quota Target ÷ Average Deal SizeThe foundation of quota planning - knowing exactly how many wins you need to hit your number
Deals Needed ÷ Win RateConverting your deals target into the pipeline volume you need to generate
Opportunities Needed ÷ Selling DaysBreaking down your annual goal into daily executable actions that compound over time
(New Metric - Current) × Volume = ImpactModeling different improvement levers to find the most effective path to quota
B2B SaaS (HR Technology) • 280 employees
Team averaging 52% quota attainment with $2.4M annual miss across 12 reps. No systematic quota planning, reactive pipeline generation, and inconsistent daily activities.
Reverse-Engineering Creates Clarity
Breaking quota into daily activities increased rep confidence by 65% and reduced anxiety
Pipeline Coverage is Non-Negotiable
Moving from 1.8x to 3.6x coverage was the single biggest driver of attainment improvement
Win Rate Compounds
8pp win rate improvement (18%→26%) reduced opportunities needed by 31%, freeing time for quality
Daily Visibility Prevents Month-End Panic
Real-time pace tracking eliminated 90% of end-of-period stress and improved work-life balance
3388% ROI
$1.8M recovered revenue
+5-8pp win rate = 22% fewer opportunities needed
Systematically improve close rate through better qualification and deal execution
•Deploy MEDDIC/BANT qualification framework consistently
•Improve discovery call structure with business impact focus
•Create competitive battle cards for top 5 competitors
•Implement earlier disqualification of poor-fit opportunities
Expected KPIs:
+20-25% ACV = 17-20% fewer deals needed
Increase ACV through better targeting, packaging, and value communication
•Target one tier higher in account segments
•Bundle complementary products/services at package discount
•Implement value-based pricing with ROI calculators
•Add premium success packages with 45% attach rate
Expected KPIs:
+40% pipeline = 3.5x+ coverage maintained
Consistently generate sufficient pipeline coverage through systematic prospecting
•Time-block 2 hours daily for prospecting activities
•Use AI-powered personalization for outreach
•Deploy multi-channel sequences (email + LinkedIn + phone)
•Activate customer referral program systematically
Expected KPIs:
-15-20 days cycle = 15% more deals per year
Accelerate deal velocity through process optimization and buyer alignment
•Create mutual action plans with timeline commitments
•Bring economic buyer into second call
•Optimize proof-of-concept with pre-built environments
•Simplify contracts to 3 pages with pre-negotiated terms
Expected KPIs:
Divide your quota by your average deal size. For example, $800K quota ÷ $40K average deal = 20 deals needed. Use trailing 6-month average deal size for accuracy, and consider segmenting by customer type if your deals vary significantly (enterprise averages 2.5x SMB).
815 B2B companies
2025 Q1-Q3
95%
Quota attainment benchmarks derived from analysis of 815 B2B companies across 4 industries. Data collected from sales compensation and performance management systems. Benchmarks represent P25, median, and P75 values to account for variance.
All calculations follow industry-standard financial metrics definitions. Benchmarks are updated quarterly based on the latest available data.

Sales Analytics Research | Our research team analyzes data from thousands of B2B companies to provide actionable insights for sales leaders. This calculator is based on our ongoing study of quota achievement patterns across industries.
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