Conjoint Analysis Reports
The Conjoint Analysis section of the Reports tab contains pre-made tables and graphs to help you understand your results.
Every visualization has a helpful tooltip to explain what data it displays, and what this data means. Below are the data points your reports will contain:
- Feature Importance: The measurement of influence a feature has when the respondent is choosing their preferred bundle. The higher the score, the more weight it carries in the decision-making process. This table compares each of your features’ importance.
- Optimal Package: The most preferred package across respondents. It maximizes customer/buyer preference and utility.
- Relative Utility Value: The measurement of preference for each level of a feature. The greater a level’s relative utility value is, the more it enhances a package by being present. Each feature gets its own table assessing its levels’ relative utility values.
- Average Level Utility: The average calculation across respondents’ individual utility scores. This chart breaks it down to the levels of each feature, and is helpful in determining how significant a level is in contributing to a feature’s overall feature importance.
- Demand Estimation: The measurement of how preference share is affected by feature price & price variation. This report helps you determine when your price or price multipliers are getting too high and affecting package demand.
- Revenue Projection: The measurement of the projected revenue at each price point. This report helps you determine what package price leads to the most revenue.
- Profit Projection: The measurement of the projected profit at each price point. This report helps you determine what package leads to the most profit. To use this report, your project must use conditional pricing.
You can export Conjoint project data in two different places: one yields the actual conjoint analysis results in a CSV file, and the other yields additional survey data and contact information (if applicable).
Conjoint Analysis Results
In the Conjoint Analysis section, you can export raw data for each of your respondents or for aggregate data, depending on what data point you’re interested in.
Click Export to get a CSV file of one of the following:
- Export Individual Utilities: Get the relative utility value that each respondent scored each level of each feature.
- Export Summary Metrics: Downloads a folder with three files. The data in each file is an average for the data set, and is not broken out by respondent. The scores given are:
- Average Utility for each level.
- Feature Importance for each feature.
- Relative Utilities for each level.
If you included additional survey questions with your conjoint, or if you collected personal data by distributing to a contact list, you can download this information in the Data tab. This export will contain survey question results, Embedded Data, and survey metadata, but it will not contain conjoint results.