Retail & Brands
ML, Data Engineering & Delivery at Scale
Solution Architecture & Integration

Leading digital marketing company enabling partner shops to monetise post-purchase journeys.

AI Driven Personalisation: Turning “Thank You” Pages into Revenue Engines

98M impressions in 2025
15% Black Friday revenue uplift
7% conversion rate
Turning “Thank You” Pages into Revenue Engines

The Challenge

Post-purchase “thank you” pages were static - a missed revenue opportunity - and personalisation couldn’t scale across partner webshops. Fragmented data blocked real-time behavioural insight and product targeting, and legacy systems couldn’t process live user context or campaign logic.

What We Did

We built an AI-driven micro-shop platform embedded directly into partner “thank you” pages, backed by a real-time intelligence layer that connects each webshop to its customer. Dynamic, personalised offers now draw on demographics, behaviour and inventory data, delivered through a plug-and-play framework compatible with any partner e-commerce platform. Event sourcing gives complete event management, and a GDPR-compliant cloud architecture keeps it scalable and fast.

The Impact

98 million ad impressions in 2025
7% conversion rate on personalised offers
15% revenue increase during Black Friday
Ad-creative loading time cut 20%, lifting performance around 5%
Database optimisation delivered significant time savings with no increase in headcount
A client collaboration now extending beyond 5 years

How We Delivered

Technology stack
Go (Golang) · Kubernetes · Google Cloud · React · Figma · microservices · Docker · GitLab CI/CD · Domain-Driven Design · Hexagonal architecture · Event-Driven architecture · purpose-built UX and campaign-logic engines with built-in A/B testing.
Team & approach

A core cross-functional 7-member team - one project manager, three frontend engineers, two backend engineers and one DevOps engineer - as part of a continuous engagement spanning 5+ years.

Inside The Build

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