Three Proven Frameworks
We deploy the right method for your pricing challenge: Van Westendorp for exploration, Gabor-Granger for direct pricing, conjoint for complex products.
Research Solutions
Pricing Research in Poland
Consumer-validated pricing strategies that maximise revenue without killing demand
The Pricing Ridge — Between Demand and Margin
Price too high, you lose volume. Price too low, you leave money on the table. The optimal price sits on a narrow ridge between demand and margin — and the only way to find it is to ask consumers. Pricing research uses proven analytical frameworks to measure willingness to pay, price sensitivity, and perceived value across your target market. The result? A pricing strategy backed by data, not spreadsheet assumptions.
Van Westendorp, Gabor-Granger & Conjoint
Three proven frameworks. Van Westendorp Price Sensitivity Meter: four questions establish the acceptable price range and the optimal price point (OPP) where the fewest consumers consider the product too cheap or too expensive. Gabor-Granger: a direct price-demand curve showing purchase probability at each price level — the simplest way to model revenue-maximising price. Conjoint analysis: respondents evaluate product bundles with varying features and prices, revealing the trade-offs consumers make between price and product attributes — the most powerful tool for pricing new products with multiple features.
Price as a Signal — Beyond the Number
Beyond the number. Price is never just a number — it’s a signal. Premium pricing communicates quality. Promotional pricing signals value. Our pricing research measures not just willingness to pay, but price perception: does your price feel fair? Does it match the perceived quality? How does it compare to competitors in the consumer’s mind? We combine pricing data with brand perception and competitive analysis for a complete pricing intelligence picture.
Where Pricing Research Drives Decisions
Where pricing research drives decisions. New product launch pricing, price increase impact modelling, promotional price optimization, product tier and bundle architecture, competitive price positioning, and subscription/SaaS pricing model design.
Fast Execution, Revenue-Ready Output
Fast execution. Online pricing studies on our NPB panel deliver results in 7–10 business days. For complex conjoint designs, allow 2–3 weeks. We deliver price-demand curves, optimal price point calculations, and revenue simulation models.
Market in Numbers
3 frameworks
Van Westendorp, Gabor-Granger, conjoint
7–10 days
online pricing study turnaround
Revenue model
price-demand curves with simulation
N=200–500
typical sample per study
Sources: ESOMAR, Fieldstat pricing research practice
Pricing Research Methods
| Method | What It Reveals | Best For | Complexity |
|---|---|---|---|
Van Westendorp |
Acceptable price range + optimal price point |
Simple products, price exploration |
Low |
Gabor-Granger |
Price-demand curve + revenue-maximising price |
Direct pricing decisions |
Low |
Conjoint analysis |
Feature-price trade-offs + willingness to pay |
Multi-feature products, bundles |
High |
Brand-Price Trade-Off |
Price sensitivity vs. brand loyalty |
Competitive pricing, brand premium |
Medium |
MaxDiff pricing |
Ranking price-feature importance |
Product tier architecture |
Medium |
Sample Research Questions
Jaka jest optymalna cena dla nowego produktu?
How will the price change affect demand and market shares?
What is the price elasticity in our product category?
Which pricing model (subscription vs. one-time) do customers prefer?
How do consumers perceive the price-quality ratio of our product?
Why Fieldstat?
Revenue Simulation
We deliver price-demand curves with revenue simulation models — not just an optimal price, but the volume and margin implications.
Competitive Context
We measure your pricing in competitive context: perceived value vs. alternatives, brand premium, and switching price thresholds.
7-Day Results
Online pricing studies on our NPB panel deliver validated pricing data in 7–10 business days.
Benefits
- Consumer-validated optimal price point for products and services
- Price-demand curves showing volume impact at each price level
- Revenue simulation models for strategic pricing scenarios
- Feature-price trade-off analysis via conjoint
- Competitive price positioning and brand premium measurement
- Price increase impact modelling before implementation
Applications
New product launch pricing
Price increase impact assessment
Product tier and bundle architecture
Competitive price positioning
Promotional pricing optimisation
SaaS and subscription model pricing
Feature-price trade-off analysis
Implementation Process
1
Pricing Challenge Brief
We discuss your product, competitive landscape, and pricing hypotheses. We recommend the optimal research framework.
2
Study Design
We design the pricing exercise (Van Westendorp, Gabor-Granger, or conjoint), define attributes, and recruit target consumers.
3
Data Collection
Respondents complete the pricing exercise on our NPB panel. For conjoint, we build choice scenarios with systematic feature/price variation.
4
Price Modelling
We build price-demand curves, calculate optimal price points, and run revenue simulation scenarios.
5
Pricing Strategy Report
You receive a clear pricing recommendation with demand curves, revenue models, competitive context, and implementation guidance.
Frequently Asked Questions
Which pricing method should I use?
Van Westendorp for exploring acceptable price ranges. Gabor-Granger for direct price-demand curves. Conjoint when you need to understand feature-price trade-offs.
How much does pricing research cost?
Van Westendorp/Gabor-Granger studies from PLN 12,000. Conjoint analysis from PLN 25,000. Combined pricing + brand perception from PLN 30,000.
Can you test subscription/SaaS pricing?
Yes. We design conjoint studies for subscription tiers, feature bundles, and pricing models. We can simulate take-rates for different tier configurations.
How many respondents do I need?
Van Westendorp/Gabor-Granger: N=200–400. Conjoint analysis: N=300–500 (larger samples improve model stability).
What is price sensitivity research?
Price sensitivity studies determine optimal pricing by measuring how demand changes at different price points. Key methods include Van Westendorp (PSM), Gabor-Granger, and conjoint analysis.
Can pricing research account for competitor prices?
Yes. Conjoint and competitive simulation models explicitly model competitor pricing, allowing you to optimise your price relative to the market.
Industry Sources & Standards
External sources and industry organizations related to this research method:
Related Sectors
This solution is most frequently applied in the following industries: