CASE STUDY
FASHION RETAILER LISTING


01
OBSERVATIONS & HYPOTHESIS
User Recordings' Analysis:
Analysis of session recordings, scroll depth, and interaction patterns on listing pages showed two distinct user behaviors:
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Some users scrolled extensively, suggesting high browsing intent and a desire to explore a wide product range quickly.
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Others engaged heavily with filters and sorting, indicating comparison-driven behavior rather than deep PDP exploration.
In the original layout (3 products per row), users were required to scroll more to view the same product volume, potentially slowing discovery and increasing interaction cost. Conversely, overly dense layouts risk visual fatigue and reduced clarity.
To identify the optimal balance between information density and scannability, we ran an intensity A/B/C experiment, testing different numbers of product cards per row.
Experiment Setup:
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Original: 3 product cards per row
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Variant 1: 4 product cards per row
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Variant 2: 5 product cards per row
Hypothesis
If we increase the number of product cards per row, we will reduce scrolling effort and accelerate product discovery, improving engagement and downstream conversion—up to the point where visual density begins to harm clarity.
We expect:
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Moderate increases in density to improve performance
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Excessive density to show diminishing or negative returns
Goals
Psychological Principles
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Cognitive efficiency
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Reduced interaction cost
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Faster visual scanning
Primary Goal
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Increase Product Click-Through Rate (PLP → PDP)
Secondary Goals
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Increase Add to Cart (ATC) rate
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Improve overall Conversion Rate

02
THE VARIANTS


03
The Results
The hypothesis was partially validated, with Variant 2 (5 product cards per row) emerging as the clear winner and outperforming both the control and Variant 1.
Observed results for Variant 2:
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+6.79% Increase in Product Click-Through Rate (Primary Goal)
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+4.32% Increase in Add to Cart (ATC) rate
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+2.95% Increase in overall Conversion Rate
Statistical significance was reached at the 95% confidence level, confirming the reliability of the uplift.
The results indicate that users benefited from higher information density, enabling faster scanning and more efficient product comparison without overwhelming the interface. Variant 2 struck the optimal balance between speed of discovery and visual clarity, while the intermediate layout (4 per row) showed smaller, non-decisive gains.
This experiment demonstrates that listing page performance is highly sensitive to layout intensity, and that optimizing for browsing efficiency can meaningfully impact both mid- and bottom-funnel metrics.
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