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Case Study - Optimization of Ecological Initiatives in a Ski Resort Using MaxDiff

Case Study - Optimization of Ecological Initiatives in a Ski Resort Using MaxDiff

The challenge

A ski resort wanted to align ecological investments with what winter and summer visitors actually value, while protecting profitability.

The solution

A MaxDiff study compared 12 initiatives across all respondents and the summer-visitor segment to optimize seasonal sustainability strategy.

Business impact

The resort moved from broad messaging to a segment-optimized portfolio, improving both eco-perception and investment efficiency.

ROI uplift
+25%
Seasonal fit
+16%
Brand impact
+12%

Ranking of Ecological Ski Resort Initiatives

Bubble Chart - Perception Map

ⓘ Understanding this chart This chart shows how incentives relate to each other in consumers' minds. Bubble size represents overall preference. Items close together are perceived as similar and may substitute each other. Items further apart tend to be complementary.
Nature preservation Infrastructure modernization Immediate operational effect Long-term environmental impact
Bubbles combine preference strength (size) and strategic positioning (x/y) to identify themes that are both high-impact and differentiating.

Product Mix Report - Recommended Message Portfolio

ⓘ How to read this chart This chart identifies the optimal combination of incentives. The first item is the most preferred individually. Each additional item is selected because it adds the highest incremental preference when combined with the previous ones. Bars show the incremental contribution of each item, while the line represents the cumulative preference generated by the mix.
Recommended mix: electric groomers, reforestation, recycling, and wildlife protection to maximize acceptance across seasons.
ℹ️ About the real study behind this case

This case study was derived from a real study conducted by MaxDiffPro. It has been anonymized for confidentiality: the tested options and results shown here do not correspond exactly to reality. The actual study had the following characteristics:

🌍
Country
Swiss flag
🏔️
Items tested
17
👥
Respondents
~300
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Timeline
5–6 days

The timeline depends on the complexity of the study and the target audience.

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MaxDiff helps teams identify which messages, features, or ideas truly resonate with customers.

Typical study: 15–25 items tested · 150–300 respondents · Results in 3–5 days

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