Sequential Price Testing

Gabor GrangerPrice Wheel

Systematically test price points across a range to identify optimal pricing strategies that balance customer acceptance with revenue goals.

Methodology Overview

Gabor Granger Price Wheel

Gabor Granger (also called Price Laddering or Sequential Price Sensitivity Analysis) is a systematic methodology that tests multiple price points sequentially to understand demand elasticity, identify optimal pricing zones, and determine revenue maximization opportunities across different customer segments and market conditions.

Sequential Testing Approach

Tests multiple price points in a systematic sequence to map demand curves and identify price sensitivity thresholds across different market segments.

Elasticity Curve Mapping

Creates detailed demand elasticity curves that reveal how price changes impact purchase intention and revenue across different price ranges.

Gabor-Granger Analysis

Price Sensitivity
Gabor-Granger Price Sensitivity Analysis Chart showing respondent sample percentage likely to purchase at defined price points
Strategic Applications

Gabor Granger Use Cases

Gabor Granger provides systematic insights for revenue optimization, competitive positioning, and strategic pricing decisions across diverse business scenarios.

Revenue Maximization

Identify the optimal price point that maximizes revenue by testing across multiple price levels and analyzing demand response patterns.

Revenue curve mapping
Optimal price identification
Profit margin optimization

Elasticity Analysis

Understand price elasticity across different segments and price ranges to inform flexible pricing strategies and market positioning.

Demand elasticity curves
Sensitivity thresholds
Segment-specific responses

Tiered Pricing

Design optimal pricing tiers and packages based on demand patterns across different price points and customer segments.

Tier optimization
Package pricing
Value laddering

Market Entry

Determine optimal entry pricing for new products or markets by testing price acceptance across target customer segments.

Entry price optimization
Market penetration strategy
Adoption curve analysis

Competitive Response

Model competitive pricing scenarios and customer response to different price positions relative to market alternatives.

Competitive scenarios
Price positioning
Market share impact

Dynamic Pricing

Inform dynamic pricing strategies by understanding how demand responds to price changes across different time periods and conditions.

Dynamic thresholds
Seasonal adjustments
Real-time optimization
Our Gabor Granger Process

Systematic Price Testing Methodology

Our rigorous approach to Gabor Granger price testing ensures comprehensive price sensitivity analysis that delivers actionable insights for revenue optimization.

1

Price Range Design

Define optimal price ranges and test intervals based on market research, competitive analysis, and business objectives for comprehensive testing.

Market analysis
Range optimization
Interval selection
2

Sequential Testing

Execute systematic price testing across multiple points to capture demand response patterns and price sensitivity thresholds.

Systematic exposure
Response measurement
Data quality control
3

Optimization Analysis

Analyze demand curves and elasticity patterns to identify optimal pricing strategies and revenue maximization opportunities.

Curve analysis
Optimization modeling
Strategic recommendations

Ready to Optimize Your Pricing Strategy?

Partner with PROOF Insights to leverage Gabor Granger price sensitivity testing for systematic price optimization, revenue maximization, and strategic competitive positioning.