What it is
Gabor-Granger asks purchase likelihood at a sequence of prices to estimate how demand changes as price changes.
Overview notes
Practical note
This sits in the middle of the pricing toolkit: stronger than pure perception lighter than full conjoint.
Decision guide
When to use it
- When you need directional demand response by price
- When the business wants to compare revenue implications across points
When not to use it
- When multi-feature trade-offs dominate the decision
Inputs required
- Price ladder
- Purchase intent measurement approach
Typical outputs
- Demand curve
- Revenue curve
Simple example
Test likely conversion response across several monthly subscription prices to find a reasonable commercial range.
Strengths
- More demand-oriented than price-perception methods
Limitations
- Still based on stated intent
Common mistakes
- Ignoring how intent scales map to actual behavior
How I use it in practice
I use it when the team wants a stronger pricing read than Van Westendorp but does not need the full complexity of a conjoint design.
What is outputted
- Demand and revenue estimates by price
How to interpret the output
- Look for ranges and trade-offs not a magical optimum
How to communicate to clients
- Explain the stated-intent limitation clearly
Displayr / Q implementation notes
- Keep price ordering and skips documented
Visual placeholder
Demand curve placeholder
Add a demand-versus-revenue line chart screenshot later.
Recommended placeholder: chart screenshot, process diagram, output interpretation notes, and one short caption on what to inspect first.