Case Study - Optimizing Wine Bottle Label Packaging with MaxDiff

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Case Study - Optimizing Wine Bottle Label Packaging with MaxDiff

The challenge

A winery had 14 label visuals for its new bottle range. Two labels were already used in stores, while 12 were new concepts. The team needed to know if the existing labels were still competitive or if new visuals should replace them.

The solution

We ran a MaxDiff study on images with 250 consumers. Respondents repeatedly chose the most and least appealing label among small sets. This produced a robust preference ranking with direct comparability between existing and new designs.

What we learned

New concepts clearly outperform the current shelf labels.
All three existing labels (6, 7, and 11) fell behind newer visuals — the packaging refresh wasn't just justified, it was overdue.
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🏆 Top 3 Labels

Label 1: 89%
Label 2: 84%
Label 3: 81%
), Label 2 (84%), Label 3 (81%)

Notably, all three top-ranked labels are exclusively new design concepts..

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📈 Performance Gap

New labels occupy the top 5 ranks. Existing labels squeezed into positions 6, 7, and 11 with scores of 76%, 71%, and 42% — a significant preference drop that validates an immediate redesign. (rank 11). The pressure from new designs is undeniable.

Why it matters

The brand avoided a subjective design decision and switched to data-backed packaging choices, prioritizing concepts with stronger shelf and online appeal.

Business impact

Online sales
+9%
In-store sales
+6%
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:

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Country
French flagSwiss flag
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Items tested
18
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Respondents
~200
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Timeline
4–5 days

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

Label Preference Ranking

Image-based MaxDiff ranking across existing and new label visuals

All (n=203)
Label 1 New
Label 1
89%
Label 2 New
Label 2
84%
Label 3 New
Label 3
81%
Label 4 New
Label 4
80%
Label 5 New
Label 5
76%
Label 6 Existing
Label 6
76%
Label 7 Existing
Label 7
71%
Label 8 New
Label 8
64%
Label 9 New
Label 9
57%
Label 10 New
Label 10
48%
Label 11 Existing
Label 11
42%
Label 12 New
Label 12
42%
Label 13 New
Label 13
36%
Label 14 New
Label 14
34%
Label 15 New
Label 15
27%

Run a Similar Study for Your Product

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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