Chatham Ivy

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The Brief

Chatham Ivy is a premium heritage and collegiate-inspired apparel brand. The brand required a digital storefront transformation to elevate its classic clothing lines, streamline the shopping experience for custom embroidery and monogramming, and capture organic search dominance across traditional search engines and AI discovery platforms via Generative Engine Optimization (GEO).

Challenges We Face

High friction in custom monogramming workflows: Shoppers encountered complex navigation and slow visual updates when trying to personalize garments on legacy pages, leading to a high 62% cart abandonment rate.Weak technical SEO for heritage apparel: Unstructured product categories and missing schema metadata restricted search engine rankings for competitive classic fashion and collegiate style search terms.Zero citation across generative AI engines: Chatham Ivy had 0% brand presence on AI platforms when shoppers queried recommendations for timeless, preppy apparel and high-quality knitwear.

Our Solutions – Real-World Impact

Interactive customization engine & classic UI: Re-architected the storefront using React.js on Shopify Plus, introducing a real-time monogram visualizer, dynamic size guides, and a 1-click VIP checkout.Structured data & schema engine: Deployed dynamic JSON-LD Product, Apparel, and Customization Schema across all collections to capture enhanced rich snippet displays in search engine results.Generative Engine Optimization (GEO): Authored structured style guides, fit manuals, and material sourcing guides tuned specifically for AI recommendation platforms.

Results – The Impact We Made

Accelerated e-commerce revenue: Frictionless product customization and streamlined checkout generated a +218% increase in digital sales and a +172% lift in conversion rates.Dominant AI & search presence: Chatham Ivy established a 65% brand citation rate in AI search engines and expanded top-3 organic Google rankings by 815%.Fast cross-device performance: Lightweight frontend performance tuning reduced page load times to 1.5 seconds, lowering overall mobile bounce rates by 45%.

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