Gabor-Granger Pricing Method: Complete Guide
What Is the Gabor-Granger Method?
The Gabor-Granger method is a pricing research technique that finds the revenue-maximizing price point by measuring purchase intent at multiple specific prices. Developed by economists André Gabor and Clive Granger in the 1960s, it produces a demand curve showing how purchase probability changes as price increases, letting you calculate the price that maximizes projected revenue.
Unlike Van Westendorp, which asks respondents to suggest their own price thresholds, Gabor-Granger presents researcher-defined price points and measures willingness to buy at each one. This makes it better suited for products with established market pricing where you have a reasonable price range in mind.
How Gabor-Granger Works
The Sequential Price Approach
Each respondent sees the product description followed by a purchase intent question at a specific price. Based on their response, the survey adjusts the next price:
- Start at a random price within your range (e.g., $49 for a product you expect to price between $29-$79)
- If the respondent says "yes" (would buy): Show a higher price
- If the respondent says "no" (would not buy): Show a lower price
- Repeat 3-5 times to find each respondent's price ceiling
This produces, for each respondent, the maximum price they'd accept. Aggregated across the sample, you get a demand curve.
The Monadic Price Approach
A simpler variant: each respondent sees only one price (randomly assigned from your range) and answers the purchase intent question. Different respondents see different prices. With enough respondents per price point (50+), you get a demand curve from the aggregated data.
The monadic approach avoids the anchoring bias of the sequential approach (earlier prices influence later responses) but requires a larger sample.
Building the Demand Curve
For each price point, calculate the percentage of respondents who would buy. Plot price on the x-axis and purchase probability on the y-axis:
| Price | Would Buy (%) | Revenue Index (Price x %) |
|---|---|---|
| $29 | 82% | 23.8 |
| $39 | 71% | 27.7 |
| $49 | 58% | 28.4 |
| $59 | 41% | 24.2 |
| $69 | 27% | 18.6 |
| $79 | 14% | 11.1 |
The revenue-maximizing price is $49, where price x purchase probability peaks. Lower prices have higher conversion but less revenue per sale. Higher prices have better margins but fewer buyers.
When to Use Gabor-Granger
Existing Products with Known Competitors
Gabor-Granger works best when you already know the approximate price range. The method requires you to predefine price points, so you need market context. For a SaaS product where competitors charge $25-$75/user/month, Gabor-Granger tests 5-7 specific prices within that range.
Revenue Optimization
When your primary goal is maximizing revenue (or profit, if you include margin data), Gabor-Granger's demand curve directly answers that question. Van Westendorp gives you a range; Gabor-Granger gives you the revenue curve within that range.
Price Increase Testing
Existing products considering a price increase benefit from Gabor-Granger. Test the current price alongside 2-3 higher prices to see how demand drops with each increment. This directly informs the "how much revenue do we gain/lose at each price?" calculation.
Simple Survey Integration
The purchase intent question is straightforward and adds 2-4 minutes to any survey. It works as a standalone pricing study or as a section within a larger brand health or product feedback survey.
Gabor-Granger vs Van Westendorp
| Dimension | Gabor-Granger | Van Westendorp |
|---|---|---|
| Core question | "What price maximizes revenue?" | "What price range is acceptable?" |
| Price input | Researcher-defined price points | Respondent-suggested prices |
| Output | Demand curve + revenue-maximizing price | Acceptable range + 4 price thresholds |
| Revenue estimation | Yes (direct) | No |
| New product suitability | Moderate (needs realistic price points) | Strong (no price assumptions needed) |
| Anchoring bias risk | Higher (sequential approach) | Lower (open-ended responses) |
| Survey time | 2-4 min | 2-3 min |
| Sample size | 200-400 (or 50+ per price point) | 100-300 |
Use Van Westendorp first when you don't know what prices to test. It finds the range. Use Gabor-Granger second when you know the range and need to find the optimal point within it.
Step-by-Step Implementation
1. Define Your Price Points
Select 5-7 price points spanning the range you want to test. Space them evenly or use psychologically meaningful intervals ($29, $39, $49, $59, $69).
If you've run Van Westendorp first, use the PMC-to-PME range as your Gabor-Granger testing range.
2. Write the Product Description
Show a clear, consistent product concept. Every respondent sees the same description before the price question. Include features, benefits, and any context needed for realistic price evaluation.
3. Choose Sequential or Monadic
Sequential (each respondent sees multiple prices): More efficient per respondent. 200-300 total respondents. Risk of anchoring bias.
Monadic (each respondent sees one price): No anchoring. Requires 50-100 respondents per price point. Cleaner data but higher total sample cost.
4. Collect and Analyze
For each price point, calculate the purchase probability (% who said "definitely" or "probably" would buy). Multiply price x purchase probability to get the revenue index. The peak of the revenue curve is your optimal price.
5. Factor in Costs
Revenue optimization is incomplete without margin data. If your cost per unit is $15, the profit curve differs from the revenue curve:
| Price | Would Buy | Revenue | Profit (Price - $15) x Would Buy |
|---|---|---|---|
| $29 | 82% | 23.8 | 11.5 |
| $39 | 71% | 27.7 | 17.0 |
| $49 | 58% | 28.4 | 19.7 |
| $59 | 41% | 24.2 | 18.0 |
In this example, $49 maximizes both revenue and profit. But with different cost structures, the optimal points can diverge.
Real-World Example: B2B Software
A CRM startup wanted to set pricing for their mid-market tier. Van Westendorp (run first with 200 respondents) identified an acceptable range of $35-$85/user/month. They then ran Gabor-Granger on 400 mid-market buyers at 6 price points within that range.
Results:
| Price | Purchase Intent | Revenue Index |
|---|---|---|
| $35/user/mo | 76% | 26.6 |
| $45/user/mo | 64% | 28.8 |
| $55/user/mo | 51% | 28.1 |
| $65/user/mo | 38% | 24.7 |
| $75/user/mo | 22% | 16.5 |
| $85/user/mo | 11% | 9.4 |
Revenue peaked at $45, with $55 a close second. The company chose $49/user/month (between the two peaks), which also aligned with the psychological pricing of a "sub-$50" positioning.
Common Mistakes
Testing prices outside the realistic range. If competitors charge $30-$70, testing $10 or $150 wastes price points and distorts the demand curve.
Using "definitely would buy" as the only acceptance threshold. This produces an overly conservative demand curve. Include "probably would buy" for a more realistic estimate. Most practitioners use a weighted approach: 100% of "definitely" + 50% of "probably."
Ignoring segment differences. The revenue-maximizing price differs by segment. Enterprise buyers might peak at $65; SMB buyers at $39. Run the analysis separately.
Sequential bias without randomization. In the sequential approach, always randomize the starting price across respondents. Starting everyone at the same price anchors the entire sample.
Frequently Asked Questions
Can I combine Gabor-Granger with Van Westendorp?
Yes, and it's a common two-phase approach. Phase 1: Van Westendorp finds the acceptable range. Phase 2: Gabor-Granger finds the revenue-maximizing point within that range. You can run both in the same survey.
How many price points should I test?
5-7 for the sequential approach, spread across your expected range. For monadic, 4-5 (with 50-100 respondents each). More price points give a smoother demand curve but require more respondents.
Does Gabor-Granger work for subscription pricing?
Yes. Frame the purchase intent question around the subscription price: "Would you subscribe to this service at $49/month?" The demand curve works identically for subscriptions, one-time purchases, and per-unit pricing.
Related Guides
- Van Westendorp Pricing Model -- Finding the acceptable price range
- Van Westendorp vs Gabor-Granger -- Choosing between the two methods
- Pricing Research Methods -- Complete comparison of pricing techniques
- Willingness to Pay Research -- Broader WTP methodology
- Conjoint Analysis -- For pricing + feature optimization
- Gabor-Granger Pricing Survey Template -- Ready-to-use template
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