Stop Leaving Money on the Table
Explore possible price ranges with established pricing-question frameworks and structured AI archetypes, then validate with real customers.
Pricing Analysis
Pricing Is the Biggest Lever You're Not Testing
Companies use many pricing approaches. Customer research and live evidence are needed to understand actual willingness to pay.
- Gut-based pricing leaves revenue on the table
- Competitor matching assumes they got it right
- Cost-plus ignores customer value perception
- Human pricing studies vary in cost and scope
- A/B testing prices risks customer trust
Pricing Challenges
Impact visualization
Van Westendorp Analysis
Build a Pricing Hypothesis
AudiAInce® applies Van Westendorp and Gabor-Granger question frameworks to structured AI archetypes to generate pricing hypotheses for customer validation.
- Van Westendorp price sensitivity analysis
- Gabor-Granger demand curves
- Model-generated willingness-to-pay signals
- Modeled price-sensitivity estimates
- Competitive price positioning
- Tier and bundle recommendations
How It Works
From product description to pricing strategy in four steps
Describe Your Product
Share your product, features, current pricing (if any), and any competitor context you have.
5 minSelect Methodology
Choose Van Westendorp for price ranges or Gabor-Granger for demand curves - or run both.
1 minAI Personas Evaluate
41 structured AI archetypes generate model responses to pricing questions from distinct economic perspectives.
~15 minReview Pricing Hypotheses
Review a model-derived price point, modeled range, AI-archetype analysis, and ideas for customer validation.
InstantWhat You Get
Model-generated pricing exploration
Modeled Price Point
The point calculated from AI-archetype responses; it is a hypothesis, not measured customer willingness to pay.
Price Sensitivity Curve
See how model-generated purchase intent changes at each price point.
Modeled Segment Reactions
Compare how structured AI archetypes respond to different price points.
Value Perception Analysis
Explore model-generated themes about value perception for customer validation.
Competitive Positioning
See how your pricing compares to alternatives and where you can differentiate.
Tier & Bundle Guidance
Generate tier, bundle, and package hypotheses to validate.
Better Than Guessing
How AudiAInce® compares to common pricing approaches
Cost-Plus Pricing
Not recommended-
Ignores customer value perception
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Doesn't account for competition
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Leaves money on the table
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No demand sensitivity data
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Based on internal costs only
Competitor Matching
Not recommended-
Assumes competitors got it right
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Race to the bottom on price
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Ignores your unique value
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No differentiation signal
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Reactive, not strategic
AudiAInce® Pricing
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AI-archetype value signals
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Model segment comparisons
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Established question frameworks
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Modeled demand curves
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Competitive context
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Validation hypotheses
Research-Grade Methodologies
Established pricing-question frameworks used for directional exploration
Van Westendorp Price Sensitivity Meter
Identifies four key price thresholds by asking personas at what price your product is too cheap (quality concerns), a bargain, getting expensive, and too expensive.
Van Westendorp Price Sensitivity Meter
Gabor-Granger Price Analysis
Uses model-generated purchase-intent responses at specific price points to build modeled demand curves and price-sensitivity estimates.
Gabor-Granger Price Analysis
When to Test Pricing
Common scenarios where pricing validation drives results
New Product Launch
Set the right price from day one. Avoid the costly mistake of repricing after launch.
SaaS launching new tierPrice Increase
Explore model-generated price sensitivity, then validate actual customer response before changing prices.
Annual price reviewTier Structure
Design pricing tiers that maximize upgrade rates and customer lifetime value.
Good/Better/Best packagesMarket Expansion
Test pricing in new markets where willingness to pay may differ significantly.
International expansionStructured AI Archetypes
Nineteen structured AI audience archetypes with defined demographic, behavioral, and psychographic attributes.
Full Transparency
Export methodology with reasoning chains - not a black box.
Directional Results
Model-generated hypotheses to validate with real customers and market evidence.
Price With a Validation Plan
Stop guessing at pricing. Get data-driven insights in minutes, not months.