Retailer lifts sales ~30% with AI personalization (FC Beauty)

The problem

A small retailer used AI to personalize offers and recommendations, driving about a 30% sales increase with the same ad spend.

The AI solution

Personalization isn't just for big players. A small retailer implemented AI‑driven product recommendations and segmented offers based on browsing, purchase history, and seasonality.

Tools included recommendation services and simple rules to feature relevant bundles. The team A/B tested placements and tuned content weekly.

Impact: around a 30% sales increase attributed to better targeting and discovery.

SMB takeaway: start on PDPs and cart. Measure add‑to‑cart and AOV before expanding to email and ads.

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Results & metrics

• Impact: around a 30% sales increase attributed to better targeting and discovery.

Lessons for SMBs

• Start small: pilot one workflow and measure it rigorously
• Blend heuristics with ML for quicker wins and safer rollout
• Train staff and bake new steps into SOPs to lock in gains

Learn more

Read the full case study: Raconteur: Four AI case studies

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