Rank your options with MaxDiff, increase your odds for success
MaxDiff offers a realistic view of people’s preferences mimicking real-life choice situations.
This method provides you with the ranking and relative importance of tested options, such as product features, brand attributes, claims and consumer pain points.
Increase your odds for success
MaxDiff helps you understand what drives consumer choices. It uses advanced statistical modelling (HB) to estimate the preferences of each respondent.
When to use MaxDiff
- Identifying category drivers and segments
- Idea screening
- Ranking product features
- Ranking claims
- Ranking messaging and designs
Benefits and value provided
MaxDiff questions are easy to answer and closely represent how consumers make choices in real life. The method allows you to include more options in the test than other questioning techniques.
Ranking is more realistic as the test prevents anyone from liking or disliking all options. It allows for a reliable cross-cultural comparison since there is no scale bias.
Discrimination power is greater than for a scale question or a single select question because respondents only choose the best option. Therefore you get good predictive accuracy on what respondents perceive as the most important
More Methods
Discover other options
Conjoint Analysis
Understand what your customers value in your product with Conjoint. Learn how much each feature influences your demand and sales, and estimate what price premium you can charge for improved features.
NLP (Natural Language Processing)
Including open-ended questions in a survey can generate thousands of sentences to make sense of. But this isn’t a problem with Cambri’s proprietary NLP solution. In a matter of seconds, you’ll get an understanding of what consumers are talking about, and whether the sentiment is positive, negative or neutral.
TURF Analysis
TURF is a method that can be used to gain insights about market potential and optimal portfolio strategy given limited resources, as it shows the incremental reach of adding an option to the existing portfolio.
Cluster Analysis
Segmentation helps identify homogeneous segments with unique preferences, as well as understand the interrelationship between needs or drivers. It allows you to uncover the preference of different attributes for a particular segment that may be different from the market as a whole.