Research Objective

• A leading healthcare technology company needed to identify existing product attributes within a product line that were not optimizing incremental customer reach.
• The focus was on both product features and offers.
• A survey would need to be designed, scripted, and fielded among healthcare professionals.

Scope & Methodology

• A MaxDiff and TURF analysis was required to identify the best/ideal set of product attributes and build an optimal model of product combinations/attributes that would reach the maximum number of unduplicated customers.
• After completing the analysis of the best product attributes, an interactive simulation of customer preferences was designed to observe all possible attribute combinations.

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Value Delivered

• As a result of these analyses, the client was able to build a more effective product line consisting of the most preferred product line while also maximizing customer reach.
• With this information, they determined that 90% of participants were very likely to purchase from this combination of product offerings.

Learn more

• Understanding Relative Importance of Healthcare Imaging Features for New Product Development – A survey + MaxDiff case study
• Optimizing Healthcare Technology Offerings to Avoid Cannibalization | A MaxDiff TURF case study
• Tips for the First-Time Conjoint Analysis Researcher