Hommey

Personalisation was powered by embedded analytics tracking customer browsing and purchase behaviour across the platform. Recommendation logic used this behavioural data to surface relevant products — replacing a generic catalogue view with suggestions tailored to each customer's patterns. Google Analytics and Hotjar provided continuous UX data to refine recommendation placement and conversion paths over time.

Mobile-first means the interface is designed and built for the smallest screen size first, then progressively enhanced for larger screens — rather than shrinking a desktop layout down. For Hommey, this meant optimising page load times for mobile networks, touch-friendly interaction patterns, and a product browsing experience designed around how customers actually shop on their phones — resulting in 99% responsiveness across all devices from day one.

The 2.5× user growth was driven by personalised product recommendations that increased repeat visits, region-specific campaigns that enabled efficient market expansion, and a mobile-first UX that reduced friction in the new-user onboarding flow. The embedded analytics stack gave the team real-time visibility into which acquisition and engagement tactics were working, allowing rapid iteration throughout the first six months.

Hommey's platform was built on AWS and GCP cloud infrastructure with Azure Edge for content delivery — ensuring fast load times regardless of where in the region a customer was accessing the platform. The flexible CMS architecture meant region-specific content and campaigns could be deployed without engineering involvement, enabling the business team to roll out new markets rapidly without creating a technical bottleneck.