Pricing & Willingness-to-Pay Surveys
Understand price sensitivity and value perception. AI explores willingness-to-pay through natural conversation, avoiding the biases of direct pricing questions.
The AI Advantage
Asking customers "how much would you pay?" directly yields unreliable answers. CX Pulse AI uses conversational techniques inspired by Van Westendorp and Gabor-Granger methodologies to explore price sensitivity naturally. It probes value perception, feature-price tradeoffs, and competitive pricing awareness through a conversation that feels like market exploration rather than a pricing interrogation.
Key Features
Van Westendorp Analysis
AI conducts price sensitivity research using the Van Westendorp methodology, identifying optimal price points and acceptable price ranges.
Price Sensitivity Measurement
Measure elasticity of demand across customer segments to understand how price changes affect willingness to purchase.
Feature-Value Mapping
Connect specific features to perceived value, understanding which capabilities drive willingness to pay premium prices.
Competitive Price Positioning
Understand how customers perceive your pricing relative to competitors and identify your optimal competitive price position.
Example Questions
How would you rate the value you currently receive relative to the price you pay?
At what price point would you consider this product to be a bargain?
At what price would you start to question the quality of the product?
Which features are worth paying more for, and which are not essential?
What pricing model do you prefer: subscription, one-time, or usage-based?
Ready-to-Use Templates
Price Sensitivity Survey
A 6-question survey to gauge price sensitivity, willingness to pay, competitive pricing comparison, value factor ranking, pricing model preference, and open-ended pricing feedback.
Pricing Research Analysis
A 7-question AI-enhanced pricing research survey using the Van Westendorp price sensitivity model with questions on current spending, value perception, four price points, and an AI-guided conversation for deeper pricing insights.
Frequently Asked Questions
Which pricing research methodology should we use?
CX Pulse supports Van Westendorp, Gabor-Granger, and conjoint-style approaches. AI recommends the best methodology based on your pricing model and research objectives.
How many responses do we need for reliable pricing data?
Aim for 100-300 responses per segment for statistically reliable pricing insights. AI begins surfacing directional insights with as few as 30 responses.
Does this work for B2B pricing research?
Absolutely. B2B pricing research requires understanding decision-maker perspectives on value, ROI, and competitive alternatives. CX Pulse adapts for B2B contexts.
Can we test different pricing tiers?
Yes. Present multiple pricing scenarios and tier structures to understand which packaging resonates most with different customer segments.
Pricing & Willingness to Pay Resources & Guides
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Start collecting pricing & willingness to pay insights today
AI explores value perception, price sensitivity, and willingness-to-pay through natural conversation.