Project overview
LondonEcom Retail — E-commerce. London, United Kingdom
The challenge described in the source
LondonEcom, a fashion e-commerce brand, had a slow WooCommerce site with 42 Lighthouse score, 4.1s LCP, and 2.3% conversion rate. They were losing customers to faster competitors.
The published approach
We migrated them to a Next.js 14 storefront with Stripe integration, implemented Product schema, optimized Core Web Vitals, and built AEO-optimized product comparison pages for AI search engines.
Source-reported outcomes
LondonEcom's page load dropped to 0.8s LCP, Lighthouse hit 97, and conversion rate jumped to 6.2%. Organic traffic from Google UK grew 195% in 5 months. AI engines now cite them for 'best sustainable fashion London' queries. Page Load (LCP): 0.8s: from 4.1s; Conversion Rate: 6.2%: from 2.3%; Lighthouse Score: 97: from 42; Organic Traffic (UK): +195%: 5-month growth
Services and delivery context
Website Design, SEO Services, AEO Optimization. Source timeframe: 10 weeks. Source-listed tools: Next.js 14, Stripe, Tailwind CSS, Supabase, Vercel.
About the evidence
Republished from an owner-supplied project record. Outcomes and baseline figures are attributed to that source, not an independent audit or a promise of future results. Service delivery and measurement periods may differ. No new local-office claim, client endorsement, certified status or measured result has been added.
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Are these outcomes guaranteed for a new project?
No. These are the outcomes reported in the original project record. Results depend on starting position, scope, measurement method and market conditions.
Where does this case study come from?
It was republished from the owner-provided source at https://websitedesigncompany.base44.app/ on 2026-10-22.
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