
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
In today's competitive business landscape, setting the right price for your product or service can make the difference between success and failure. But how do you know what customers are actually willing to pay? Enter Gabor-Granger testing—a powerful pricing research methodology that helps businesses understand customer price sensitivity and determine optimal price points.
Gabor-Granger testing is a quantitative market research technique used to measure consumers' willingness to pay (WTP) for products or services. Named after economists Clive Granger and Andre Gabor who developed it in the 1960s, this methodology provides valuable insights into how price affects purchase probability.
The fundamental premise is straightforward: respondents are shown a product or service and asked if they would purchase it at various price points. These price points are presented sequentially, with each subsequent price adjusted based on the respondent's previous answer.
The typical Gabor-Granger testing process follows these steps:
Product presentation: Respondents are shown a detailed description or visual representation of the product/service.
Initial price inquiry: Respondents are asked if they would purchase the item at a specific starting price.
Price adjustment: If they answer "yes," the price is increased; if "no," the price is decreased.
Iteration: This process continues through multiple price points until the maximum willingness to pay is identified.
Data analysis: Researchers analyze the results to determine the optimal price point that maximizes revenue or market share.
The methodology produces a demand curve that visually represents how purchase probability changes at different price points.
Gabor-Granger testing offers several benefits for businesses looking to optimize their pricing strategy:
Quantifiable insights: The methodology provides concrete data on willingness to pay rather than subjective opinions.
Simplicity: The straightforward question format makes it easy for respondents to understand and participate.
Cost-effectiveness: Compared to other pricing research methods, Gabor-Granger testing is relatively inexpensive to implement.
Actionable results: The output provides clear guidance on optimal pricing strategies for revenue maximization.
According to a study by Simon-Kucher & Partners, companies that conduct systematic pricing research like Gabor-Granger testing report profit increases of up to 25% higher than those that don't.
While powerful, Gabor-Granger testing isn't without limitations:
Hypothetical bias: Respondents' stated willingness to pay may differ from their actual purchasing behavior.
Context sensitivity: The testing environment lacks real-world purchase context, potentially skewing results.
Product familiarity: Respondents may struggle to accurately assess willingness to pay for novel or complex products.
Single-attribute focus: The method isolates price from other purchase factors like brand value or competitive alternatives.
Gabor-Granger testing is particularly valuable in these scenarios:
New product launches: Determine optimal pricing for products without established market references.
Price adjustments: Assess the impact of potential price changes on existing products.
Market segmentation: Identify different price sensitivities across customer segments.
Value-added features: Evaluate willingness to pay for additional product features or service tiers.
A mid-sized SaaS company planning to launch a new enterprise analytics platform used Gabor-Granger testing to determine optimal pricing. The company surveyed 500 potential customers, presenting the platform with different monthly subscription prices.
The results revealed that:
By multiplying these purchase probabilities by the corresponding prices and the market size, the company determined that $79/month would maximize revenue while maintaining a competitive market position—a price point they might have missed without systematic willingness to pay testing.
To maximize the effectiveness of your Gabor-Granger testing:
Provide detailed product information: Ensure respondents fully understand what they're evaluating.
Use appropriate price ranges: Set realistic starting points and increments based on market context.
Target relevant respondents: Survey individuals who represent your actual target market.
Combine with complementary research: Use other methodologies like Van Westendorp or conjoint analysis to validate findings.
Consider competitive context: Acknowledge that willingness to pay doesn't exist in a vacuum—competitive alternatives matter.
Modern adaptations of the Gabor-Granger methodology include:
Adaptive Gabor-Granger: Using algorithms that dynamically adjust price intervals based on previous responses.
Integrated feature testing: Combining price sensitivity with feature preference to create optimized product-price packages.
Longitudinal studies: Tracking willingness to pay over time to identify shifts in market perception.
Gabor-Granger testing remains one of the most valuable tools in a pricing strategist's toolkit. While no single methodology provides perfect pricing guidance, systematic willingness to pay testing offers critical insights that gut instinct alone cannot provide.
By implementing Gabor-Granger testing as part of your pricing research strategy, you gain data-driven confidence in your pricing decisions—potentially unlocking significant revenue growth and competitive advantage in increasingly price-sensitive markets.
For SaaS executives looking to optimize their pricing strategy, Gabor-Granger testing represents not just a research methodology, but a strategic investment in sustainable business growth.

Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.