Turn Your Data Into Predictable Revenue

Start with a free 30-minute discovery call. We discuss your specific problem (high cart abandonment, unknown churn drivers, inventory issues), your data availability, and success metrics. I then provide a scoped proposal with clear deliverables, timeline, and fixed-price or hourly options. Most projects start within 1-2 weeks. Use the contact form below to book your free call.

The minimum is customer transaction history: purchase dates, order values, and customer IDs going back at least 12 months. Stronger models also use behavioral signals like email engagement, site visit frequency, and cart abandonment history. If you use Shopify or WooCommerce, I can extract everything needed directly. You do not need clean data, data preparation is part of the engagement.

Yes, and significantly. Average cart abandonment sits above 70%, but most is recoverable. Predictive models segment abandoners into high-intent, price-sensitive, and permanently-lost groups. This lets you target each group differently: personalized recovery emails, exit-intent offers, and smart discount timing. The result is recovered revenue without the margin erosion that comes from blanket discounting.

A data analyst tells you what happened, your cart abandonment rate was 72% last month. A data scientist tells you what will happen next, which specific shoppers are about to abandon right now so you can intervene. For churn prevention, cart recovery, CLV modeling, and demand forecasting, you need predictive models, not just reports. That is the difference between knowing a number and acting on it before it costs you revenue.

ML is viable when you have at least 1,000 historical customer records and a defined problem. You do not need a data team or enterprise budget. I have built production models for small Shopify stores and mid-market retailers with 500,000+ customers. The key question is not your size, it is whether the cost of the problem (churn, abandoned revenue, stockouts) exceeds the cost of solving it. If you are losing $50K+ annually to preventable issues, the ROI math almost always works.