Performance, does Hyvä really matter for fashion?

Q: Performance, does Hyvä really matter for fashion?

For fashion, more than any other vertical. Three reasons: PDPs are image-heavy , 8-15 product photos per PDP is normal in fashion. Luma + jQuery + RequireJS load all of them eagerly, killing LCP. Hyvä uses native lazy-load + Tailwind aspect-ratio classes + responsive image srcset, holding LCP under 1.5s on mobile. Variant pickers re-render on every interaction , size click → color update → fit update. Luma re-runs the full PDP JS on each click (200-400ms INP). Hyvä uses Alpine.js reactive state (under 80ms INP). At 50,000 variant catalogs the difference is the customer giving up vs. completing the purchase. Mobile traffic is 70-80% of fashion ecom . Core Web Vitals on mobile are non-negotiable for organic ranking on fashion head terms (e.g. “summer dresses” “men’s sneakers”). Numbers from a recent Luma → Hyvä migration on a 12k-SKU women’s apparel store: Lighthouse mobile 42 → 96 , LCP 4.1s → 1.3s , INP 320ms → 75ms . Measured conversion lift: +18% on mobile, +11% on desktop. Migration timeline: 6 weeks. ROI inside 90 days. If you’re on Luma + 3 fashion-heavy apps and serious about ranking on category head terms, Hyvä migration is the highest-leverage spend you can make.

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Accepted Answer

For fashion, more than any other vertical. Three reasons:

PDPs are image-heavy, 8-15 product photos per PDP is normal in fashion. Luma + jQuery + RequireJS load all of them eagerly, killing LCP. Hyvä uses native lazy-load + Tailwind aspect-ratio classes + responsive image srcset, holding LCP under 1.5s on mobile.
Variant pickers re-render on every interaction, size click → color update → fit update. Luma re-runs the full PDP JS on each click (200-400ms INP). Hyvä uses Alpine.js reactive state (under 80ms INP). At 50,000 variant catalogs the difference is the customer giving up vs. completing the purchase.
Mobile traffic is 70-80% of fashion ecom. Core Web Vitals on mobile are non-negotiable for organic ranking on fashion head terms (e.g. “summer dresses” “men’s sneakers”).

Numbers from a recent Luma → Hyvä migration on a 12k-SKU women’s apparel store: Lighthouse mobile 42 → 96, LCP 4.1s → 1.3s, INP 320ms → 75ms. Measured conversion lift: +18% on mobile, +11% on desktop. Migration timeline: 6 weeks. ROI inside 90 days.

If you’re on Luma + 3 fashion-heavy apps and serious about ranking on category head terms, Hyvä migration is the highest-leverage spend you can make.

Performance, does Hyvä really matter for fashion?

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