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Retail / E-commerce

Rebuilding Retail Growth: How Webskyne Engineered a Data-Driven E-commerce Platform for 3.4× Revenue Lift

An established retailer stagnant at $12M annual revenue partnered to rebuild their e-commerce platform with AI-powered personalization and data infrastructure. Revenue grew 3.4× to $41M within 18 months while customer acquisition cost dropped 45%.

$12M → $41M (3.4×)
Revenue
-45%
Customer acquisition cost
+67%
Repeat purchase rate
+52%
Average order value
Rebuilding Retail Growth: How Webskyne Engineered a Data-Driven E-commerce Platform for 3.4× Revenue Lift

Challenge

The retailer had no unified customer data platform. Marketing campaigns were generic, product recommendations were static, and pricing decisions were intuition-based. They couldn't identify high-value customers or predict purchasing behavior.

Solution

Webskyne built a CDP-integrated e-commerce platform with real-time personalization, dynamic pricing, and automated marketing orchestration. Every customer interaction became a data point for continuous optimization.

Implementation Highlights

  • Customer Data Platform (CDP) integration
  • Real-time personalization engine
  • Dynamic pricing with competitive intelligence
  • Marketing automation with RFM segmentation
  • Predictive analytics for demand forecasting

Outcomes

$12M → $41M (3.4×)
Revenue
-45%
Customer acquisition cost
+67%
Repeat purchase rate
+52%
Average order value
Tech stack
Next.jsSegmentReactNode.jsPostgreSQLAWS
Timeline: 18 months
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