Gabor-Granger Pricing Survey: The 2026 Guide for Indian Brands Measuring Price Sensitivity

Gabor-Granger is a pricing research methodology that measures consumer demand at specific price points. The methodology was developed by Andre Gabor in the 1960s and refined by Colin Granger. It's the most direct way to measure the price-demand relationship in a survey context.

The Core Methodology. Respondents are asked a series of yes/no purchase-intent questions at specific prices. The standard approach: start at a low price and ask 'Would you buy [product] at ₹X?'. If yes, increase the price and ask again. If no, the highest price at which they said yes is recorded. The pattern of yes/no responses across all respondents is used to build a demand curve.

Two Common Approaches.

1. Monadic Price Testing. Each respondent sees one price point and is asked if they would buy at that price. To build a demand curve, you need different respondents at different price points (e.g., 200 respondents at ₹99, 200 at ₹149, 200 at ₹199, 200 at ₹249, etc.). Pro: avoids anchoring bias. Con: requires large total sample (1,000+ for 5 price points).

2. Sequential Price Testing. Each respondent sees a series of prices, starting low and increasing (or starting high and decreasing). Pro: smaller total sample. Con: anchoring bias — the first price seen influences subsequent responses.

The Poseidon AI on Hercules Works supports both approaches and helps you choose based on your research goals. The Monadic approach is generally preferred for India where anchoring effects are stronger.

The Output. A demand curve showing the percentage of consumers who would buy at each price point. Price elasticity estimates (the percentage change in demand for a 1% change in price). The optimal revenue-maximising price point (the price at which price × % buyers is maximised). The optimal volume-maximising price (the price at which % buyers is highest). The break-even price (the price below which demand drops below profitable levels).

Why Gabor-Granger. Gabor-Granger is the most direct measurement of the price-demand relationship. It answers the specific question 'how many customers would buy at ₹X?' with high precision. The methodology is well-validated across hundreds of product categories. The Poseidon AI on Hercules Works handles the analysis automatically and produces the demand curve, price elasticity, and revenue-maximising price.

Gabor-Granger is uniquely valuable for Indian pricing research because Indian consumers are highly price-sensitive, and the price-demand relationship is steeper than in Western markets. The methodology captures this precisely.

Indian Price Sensitivity. Most Indian consumer products have price elasticities between -1.5 and -3.0 (a 1% price increase leads to 1.5-3% demand decrease). This is steeper than typical Western products (-1.0 to -2.0). Gabor-Granger measures this elasticity precisely, which is essential for pricing decisions.

The Bargain Effect. Indian consumers love a bargain. Gabor-Granger often reveals a 'bargain bump' — a higher purchase intent at a slightly discounted price (e.g., ₹199 marked down from ₹249) than at the same absolute price (₹199). The methodology captures this through careful price point selection.

Tier 1 vs Tier 2/3 Differences. Indian consumer price sensitivity varies significantly between Tier 1 metros and Tier 2/3 cities. Gabor-Granger with cross-segment analysis reveals these differences, enabling tier-specific pricing strategies.

Monadic for India. The Monadic Gabor-Granger approach (different respondents at different price points) is generally preferred for Indian research because Indian consumers are more susceptible to anchoring effects than Western consumers. The Poseidon AI on Hercules Works defaults to the Monadic approach for Indian pricing studies.

Revenue-Maximising vs Volume-Maximising. Gabor-Granger can identify both the revenue-maximising price (price × % buyers is highest) and the volume-maximising price (% buyers is highest). For most Indian consumer products, the revenue-maximising price is 10-20% higher than the volume-maximising price. The choice between them depends on the brand's strategy — premium positioning favours revenue-maximising, market share favours volume-maximising.

Multilingual Gabor-Granger. Gabor-Granger works well across Indian languages because the price-intent question is conceptually simple. The Poseidon AI handles Gabor-Granger in English, Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, and Malayalam. A multi-language Gabor-Granger study can reveal regional price-sensitivity differences that drive differentiated pricing strategies.

Gabor-Granger is one of three major pricing research methodologies. Here's how to choose.

Gabor-Granger. Best for: directly measuring demand at specific price points. The output is a demand curve and price elasticity. Methodology: yes/no purchase-intent questions at specific prices. Strengths: direct measurement, well-validated, easy to interpret. Weaknesses: doesn't directly identify the acceptable price range (Van Westendorp does), doesn't account for feature trade-offs (Conjoint does). Best for: setting a specific launch price, promotional pricing analysis.

Van Westendorp PSM. Best for: identifying the acceptable price range and optimal price point. The output is the OPP, IPP, PMC, PME, and RAI. Methodology: four price-elicitation questions. Strengths: identifies the range of acceptable prices, the most strategically defensible price. Weaknesses: doesn't measure demand at specific prices directly. Best for: new product launch pricing, re-launch pricing, pricing repositioning. See van westendorp price sensitivity survey.

Conjoint Analysis (CBC). Best for: measuring willingness to pay while accounting for product features. The output is utility scores, importance weights, and price elasticity. Methodology: choice-based product profiles with varying features and prices. Strengths: isolates the value of price from other features. Weaknesses: complex survey design, larger samples needed. Best for: complex products with multiple features, pricing-feature trade-off analysis. See conjoint analysis India.

The Right Approach. For most Indian pricing research, use all three:

• Van Westendorp to identify the acceptable price range and optimal price point
• Gabor-Granger to measure demand at specific prices within that range
• Conjoint to understand how price interacts with features

The Poseidon AI on Hercules Works supports all three methodologies and can combine them in a single study for comprehensive pricing research. The methodology library includes Gabor-Granger, Van Westendorp, Conjoint, MaxDiff, Kano, and many more.