Pricing Strategy
Deal Qualification Framework
A structured scoring system that evaluates potential projects or clients based on strategic fit, margin potential, scope certainty, and win probability — before time is invested in proposal creation.
Definition
A deal qualification framework replaces gut-feel pipeline decisions with structured scoring. Each potential engagement is evaluated across dimensions: (1) strategic alignment — does this client fit our target profile?; (2) margin potential — what is the expected value range?; (3) scope certainty — how well-defined is the work?; (4) win probability — what is our likelihood of closing?; and (5) capacity fit — do we have the right team available?
The framework's output is a recommendation: pursue, qualify further, or decline. The most important discipline is declining — most agencies would improve profitability by declining 20-30% of the opportunities they currently pursue, freeing capacity for better-fitting, higher-margin work.
ScopeMetrix research across 200+ analyzed projects found that agencies using a formal deal qualification framework have 40% higher average margins than those that don't, primarily because they avoid the worst-performing deal types.
The framework integrates with Bayesian pricing by providing the priors for win probability estimation: qualified deals have different base rates than unqualified ones.
Related terms
Win-Rate Paradox
The counterintuitive finding that increasing win rates often correlates with decreasing profitability, because high win rates typically indicate underpricing.
Bayesian Pricing
A pricing methodology that uses Bayesian inference to estimate win probability and optimal price points based on prior data and ongoing negotiation signals.
Win Probability
The statistical likelihood that a given proposal will result in a won deal, estimated using historical data, deal characteristics, and competitive context.
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