Pikolinos

Fashion RetailMid-size brand

Timeline: 4 months to improve sizing data for Pikolinos
ROI:
Solution: StrutFit x Pikolinos
-5.7%
Return Rate

The Challenge

Pikolinos was seeing a meaningful share of returns tied to sizing uncertainty across styles. They did not have a reliable way of establishing if a product was fitting bigger or smaller and also providing that information back to their customers. As a leading footwear brand in Spain, they wanted to protect their market position by improving the online sizing experience - reducing size related returns and giving shoppers more confidence at checkout.

75% of returns are due to sizing
Unsure which products fit different
Size chart on website is just generic

The Solution

StrutFit launched with Pikolinos’ standard size guide to capture accurate sizing and purchase data. Next, we measured size guide data accuracy by comparing returns to the original size recommendations to see where guidance aligned or missed. Then, classify each style (true-to-size, size-up, or size-down) based on the evidence. We rolled the learnings back into the experience by updating sizing data and also added clear fit tips to product pages to influence all customers (e.g.,this product fits small, buy one size larger than your usual size).

Phase 1: Launch & Learn

8 weeks

Integrate StrutFit to collect initial sizing, sales and returns data

Phase 2: Measure Style Accuracy

1 week

Update size charts and add fit tips to products that are identified to fit different

Phase 3: Launch Updates

8 week

Launch updates to website and monitor the impact

Results Achieved

Measurable impact across key business metrics

-5.7%

Return Rate

Before:23.0%
After:21.7%

Saved money in processing returns costs

+5.1%

Conversion Rate

Before:4.9%
After:5.2%

More orders coming through website

+9.8%

Revenue Per Visit

Before:€5.76
After:€6.32

Higher overall revenue through the website

"Very good news on the returns reduction!"
ASN
Antonio Soto Nadal
Global Digital Business Director, Pikolinos

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