Uplift Modeling for Consumer Retail & Ecom

1:1 Live Session — Uplift Modeling for Consumer Retail & E-commerce

Most retail brands don’t have a discount problem.

They have a discount targeting problem.

In this 1:1 live session, I’ll help you understand and apply uplift modeling—a data-driven approach that identifies which customers actually need an offer to convert, and who should be excluded to protect margins.

It is a hands-on session, where we will use your brand’s actual sales data and build a working uplift model live in Excel—so you can clearly see which customers truly need discounts and where margins are being lost.

What you’ll learn in this session

1. What uplift modeling is and why it’s different from traditional prediction models
2. How uplift modeling helps reduce discount leakage and improve promo ROI
3. Treatment vs Control logic explained in simple retail terms
4. How to identify:
5. Customers who buy only because of discounts
6. Customers who would buy anyway
7. Customers where discounts are wasted
8. Where uplift modeling works best:
9. Seasonal sales
10. New launches
11. Cart abandoners
12. Loyalty & repeat buyers