Set fair, defensible quotas at scale.
A national quota allocation, modeling, and analysis tool with built-in life-sciences target-setting methodologies — set achievable targets across geographies using sales and non-sales potential factors, with caps and floors.
Everything you need to set better targets.
Non-sales potential factors
Incorporate potential-gauging factors from outside the sales ecosystem — marketing spend, key accounts, patient demographics, and number of specialized physicians.
Forecast scenario modeling
Allocate national quotas to underlying geographies across different performance scenarios — optimistic, realistic, and pessimistic.
ML-based sales trending
Trend geography-level sales for individual products using embedded machine-learning frameworks, or select a methodology manually.
Built-in fairness analysis
Evaluate allocated-quota quality with historical-period testing and visualize performance across modeled scenarios using market and product-volume markers.
Sales goal-setting & quota management.
Signs your sales targets need attention
- Too many — or too few — reps hitting target
- Extreme outlier performances
- High performance standard deviation across the team
- A disconnect between top/bottom performers and actual performance
- Biases in systemic payment outcomes
How automation benefits your business
- Significantly improve transparency and quota buy-in
- Improve the efficiency of the selling process
- Identify the strengths and weaknesses of your sales team
- Analyze each geography's quota performance by selected parameters
- Keep targets in sync with market changes
See Quota Manager on your data.
Bring your territories and history — we'll show you fairer, more defensible quotas in weeks.