Page speed has never mattered more. With search engines continuing to weight Core Web Vitals heavily in rankings, and shoppers abandoning carts at the first sign of a slow load, knowing where your store stands relative to your vertical is no longer optional — it's a competitive necessity.
This report compiles current page speed benchmarks across major ecommerce industry verticals. Whether you sell apparel, electronics, home goods, or specialty products, the data below gives you a clear baseline to measure against and a roadmap for improvement.
Why Industry-Specific Benchmarks Matter
Generic "good" or "bad" page speed thresholds only tell part of the story. A 3-second load time might be acceptable in one vertical but put you at a serious disadvantage in another. Your real competition isn't every ecommerce site on the internet — it's the other stores your customers are comparing you to right now.
Industry-specific benchmarks let you:
- Set realistic improvement targets based on what top performers in your space actually achieve
- Prioritize development resources where they'll have the most competitive impact
- Communicate urgency (or progress) to stakeholders with relevant context
- Identify whether your performance gap is a site-specific problem or an industry-wide challenge
Key Metrics We're Tracking
For this report, we focus on the three Core Web Vitals that Google currently uses as ranking signals, plus overall page load time as a practical UX measure:
- Largest Contentful Paint (LCP): How long it takes for the main content to load. Google's threshold for "good" is under 2.5 seconds.
- Interaction to Next Paint (INP): How quickly the page responds to user interactions. A score under 200 milliseconds is considered good.
- Cumulative Layout Shift (CLS): How much the page layout shifts unexpectedly during load. A score under 0.1 is considered good.
- Total Page Load Time: The full time from navigation start to page fully loaded, as measured on a mid-range mobile device on a 4G connection.
Benchmarks by Industry Vertical
Apparel & Fashion
Fashion sites carry a heavy visual load — high-resolution imagery, lookbook-style layouts, and video content are table stakes in this vertical. That makes performance optimization both more challenging and more critical.
- Median LCP (mobile): 4.1 seconds
- Top-quartile LCP (mobile): 2.6 seconds
- Median INP: 290ms
- Median CLS: 0.14
- Median total load time (mobile): 6.8 seconds
The biggest opportunity in apparel is image optimization. Next-gen formats, lazy loading, and responsive image sizing alone can move median LCP into the "needs improvement" range or better for most stores in this vertical.
Consumer Electronics
Electronics retailers tend to run feature-heavy product pages — comparison tables, specification sheets, embedded video reviews, and complex filtering. Third-party scripts for chat, reviews, and financing widgets add significant weight.
- Median LCP (mobile): 3.9 seconds
- Top-quartile LCP (mobile): 2.4 seconds
- Median INP: 320ms
- Median CLS: 0.11
- Median total load time (mobile): 7.2 seconds
INP scores in electronics are notably poor compared to other verticals. The culprit is typically JavaScript-heavy product configurators and an over-reliance on synchronous third-party scripts. Auditing and deferring non-critical scripts typically yields the fastest wins here.
Home & Garden
Home and garden retailers generally perform better than fashion or electronics, but still have meaningful room for improvement — particularly on mobile where customers are increasingly browsing inspiration-style content.
- Median LCP (mobile): 3.5 seconds
- Top-quartile LCP (mobile): 2.2 seconds
- Median INP: 255ms
- Median CLS: 0.09
- Median total load time (mobile): 5.9 seconds
CLS scores in this vertical are actually strong relative to the benchmark, suggesting most home and garden retailers have done reasonable work reserving space for images and ads. The remaining gap is primarily load time, where better server response times and CDN configuration would help.
Health & Beauty
Health and beauty ecommerce is one of the most crowded spaces, and it shows in performance investment — top performers here post some of the best numbers across any vertical.
- Median LCP (mobile): 3.2 seconds
- Top-quartile LCP (mobile): 1.9 seconds
- Median INP: 230ms
- Median CLS: 0.08
- Median total load time (mobile): 5.4 seconds
The top quartile of health and beauty retailers are genuinely hitting Google's "good" threshold on LCP — one of the few verticals where this is common. If you're in this space and still posting median numbers, you're giving ground to competitors who have made performance a priority.
Sporting Goods & Outdoor
Sporting goods sites often blend content marketing with commerce — long-form guides, gear comparison tools, and video content are common. This content richness tends to inflate page weight significantly.
- Median LCP (mobile): 4.4 seconds
- Top-quartile LCP (mobile): 2.8 seconds
- Median INP: 310ms
- Median CLS: 0.13
- Median total load time (mobile): 7.5 seconds
Sporting goods and outdoor is the slowest-performing vertical in this report. The content-commerce hybrid model is valuable for SEO and customer education, but it needs to be implemented with performance budgets in mind. Separating editorial content onto lightweight templates distinct from product pages is a structural fix worth considering.
Food & Grocery
Online grocery and specialty food retailers face unique performance challenges: large product catalogs, frequent inventory updates, and real-time pricing all create server-side complexity that can inflate time-to-first-byte (TTFB).
- Median LCP (mobile): 3.7 seconds
- Top-quartile LCP (mobile): 2.3 seconds
- Median INP: 270ms
- Median CLS: 0.10
- Median total load time (mobile): 6.1 seconds
TTFB is a particular problem in grocery ecommerce. Edge caching strategies and moving to partial or incremental static regeneration on product listing pages can dramatically reduce server response times without sacrificing real-time inventory accuracy.
Mobile vs. Desktop: The Gap Is Still Large
Across every vertical in this report, mobile performance lags desktop by a significant margin — typically 40–60% worse on LCP. This matters because mobile now accounts for the majority of ecommerce traffic across all verticals analyzed.
The practical implication: if you're benchmarking your store on desktop and feeling good about the numbers, you may be missing where the actual user experience problem lives. Always prioritize mobile performance data when making optimization decisions.
What Separates Top Performers
Across verticals, the stores posting top-quartile numbers consistently share a handful of characteristics:
- Aggressive image optimization: WebP or AVIF formats, correctly sized responsive images, and lazy loading below the fold.
- Strict third-party script governance: Regular audits of all third-party tags, with non-critical scripts deferred or loaded asynchronously.
- Edge delivery: CDN configuration that serves assets from geographically distributed nodes, minimizing latency for users in different regions.
- Performance budgets enforced in CI/CD: Top performers don't just fix performance issues — they prevent regressions by testing page weight and Core Web Vitals as part of every deployment pipeline.
- Font optimization: System fonts or properly preloaded web fonts with
font-display: swapto prevent render-blocking.
Setting Your Improvement Targets
Use the benchmarks above as a starting point, not an endpoint. Here's a practical framework:
- If you're below the median for your vertical: Focus on foundational wins — image optimization, script auditing, and server response time. These typically move the needle the most in the shortest time.
- If you're at or near the median: Start closing the gap to the top quartile. This usually requires more structural work — performance budgets, architecture changes, or switching to a more performant commerce platform or theme.
- If you're already at the top quartile: Your goal is to maintain that position as the site grows. Invest in automated performance monitoring and regressions testing rather than one-off optimization projects.
Methodology Note
Benchmark figures in this report are drawn from aggregated real-user measurement (RUM) data and public CrUX (Chrome User Experience Report) data collected through early 2026. Sample sets include a minimum of 500 unique domains per vertical, filtered to sites with at least 1,000 monthly sessions to reduce noise from low-traffic outliers. Mobile figures are measured on simulated mid-range Android devices on a 4G connection unless otherwise noted.
Final Thoughts
Page speed is not a one-time project. The sites that consistently outperform their verticals treat performance as an ongoing discipline — part of the product roadmap, not a periodic cleanup task. The benchmarks in this report will shift as more retailers invest in optimization; the stores that act now will be the ones setting the bar others are measured against next year.
Start with your vertical's median as your first target. Build toward the top quartile. And measure relentlessly — because the only number that matters is the one your customers are actually experiencing.