Overview
I worked on rebuilding and scaling a D2C ecommerce store that was previously generating minimal activity and inconsistent orders.
Before the intervention, the store averaged 10–15 orders per month with an outdated website, weak product structure, and no consistent acquisition strategy.
The goal was to redesign the store, improve conversion flow, and validate winning products through paid traffic.
Before
Before the rebuild:
• Outdated website design and poor user experience
• No structured product positioning or offer strategy
• No consistent traffic or acquisition system
• Average performance: ~10–15 orders per month
The store lacked both conversion optimization and a scalable growth approach.
What I Did
I handled the project end-to-end, covering both technical execution and performance:
• Full website redesign (UX, mobile experience, structure)
• Product page optimization (visuals, clarity, offer positioning)
• Checkout flow improvement to reduce drop-off
• Product selection and catalog structuring
• Launch and testing of paid campaigns
• Continuous iteration based on performance dataThe focus was on combining conversion optimization with product validation and paid acquisition.
Product Validation & Performance
Instead of scaling randomly, I focused on testing products with controlled budgets to identify strong performers.
Example Product: Boxing Machine
• 234 clicks
• 36 orders
• ~15% conversion rate
• ~0.6 QAR cost per order
• ~14K views (organic + paid)
This level of conversion indicated strong product-market fit and allowed for confident scaling.
Additional Product Examples
• Kitchen Spoon Scale
→ 84 orders in ~10 days
• Makeup Bag
→ 17 orders in ~3 days
• Popcorn Machine
→ 30 orders in ~7 days
Multiple products showed strong performance, reducing dependency on a single item and improving overall store stability.
Growth Over Time
After launching the new website and validating winning products, the store transitioned from low activity to consistent daily orders.
Estimated monthly performance:
• May: ~150–200 orders
• June: ~80–120
• July: ~120–180
• August: ~180–250
• September: ~220–300
• October: ~250–350
Growth was driven by improved conversion flow and continuous product testing.
Outcome
The store evolved from an underperforming setup into a structured ecommerce operation with:
• Consistent daily orders
• Multiple validated products
• Strong conversion rates
• Scalable acquisition approachOperations paused due to inventory limitations, not performance decline.
Key Takeaways
This project demonstrates:
• Ability to rebuild and optimize ecommerce stores end-to-end
• Strong understanding of conversion and user behavior
• Product validation using real data, not assumptions
• Efficient use of budget to identify and scale winning products