Conjoint Analysis Calculator
Calculate the relative importance of product or service attributes from conjoint analysis utility ranges. Determine which features matter most to your respondents.
Inputs
Results
Attribute 1 Importance
50%
How to Use This Calculator
- Enter the number of product attributes and the number of levels per attribute.
- Set the number of survey respondents and the number of choice tasks per respondent.
- Input attribute importance weights from pilot data or expert judgment.
- Review the Utility Scores for each attribute level and the Relative Attribute Importance ranking.
- Use the Market Simulation output to predict share of preference for different product configurations.
How the result changes with Attribute 1 Utility Range
| Attribute 1 Utility Range | Attribute 1 Importance |
|---|---|
| 100 | 97.56% |
| 350 | 99.29% |
| 650 | 99.62% |
| 900 | 99.72% |
What each input means
- Attribute 1 Utility Range
- The difference between the highest and lowest part-worth utilities for attribute 1 (e.g., price). Larger ranges indicate greater impact on preference.
- Attribute 2 Utility Range
- The difference between the highest and lowest part-worth utilities for attribute 2 (e.g., brand). Calculated from your conjoint regression output.
- Attribute 3 Utility Range
- The difference between the highest and lowest part-worth utilities for attribute 3 (e.g., color). Set to 0 if you only have two attributes.
How this is calculated
Worked example, using the default values
- Identify Input ParametersAttribute 1 Utility Range = 2.5, Attribute 2 Utility Range = 1.8, Attribute 3 Utility Range = 0.7 = 3 input(s) provided
- Calculate Attribute 1 ImportanceAttribute 1 Importance50 = 50
- Calculate Attribute 2 ImportanceAttribute 2 Importance36 = 36
- Calculate Attribute 3 ImportanceAttribute 3 Importance14 = 14
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