How Sephora Lifted AOV 25% with AI Product Discovery

Why is AI the number-one investment for ecommerce brands heading into 2026? Because it moves the two metrics that decide whether a store thrives: how much each customer spends, and how often they come back. Sephora, the beauty retailer that has made personalization a signature, is proof that AI discovery moves both at once.

The result: Sephora’s AI-powered product discovery drove a 25% increase in average order value and a 17% rise in repeat customers.

Beauty is a discovery problem#

Beauty shopping is unusually hard to get right. The “best” foundation depends on skin tone, type, finish, and budget; the right serum depends on concerns the shopper may not know how to name. Customers arrive with a need but rarely with a product name. That makes beauty a discovery category first and a search category second — and it makes the store that guides discovery well the one that wins.

Sephora leaned into exactly that. Its AI surfaces products matched to each customer’s stated preferences and inferred profile, interpreting even the language of reviews to align recommendations with the descriptors a shopper responds to — “gentle but effective,” “glowy finish.” The result is a store that feels like a knowledgeable beauty advisor rather than an endless shelf.

How discovery AI works#

Discovery AI personalizes the browse experience — the part of the journey before a shopper has a specific product in mind. Rather than showing everyone the same grid, it assembles recommendations tailored to each person’s profile, history, and intent.

For Sephora, the engine does three things in concert:

It builds a rich preference profile from behavior, purchases, and even review sentiment, so recommendations reflect taste, not just category. It drives intelligent cross-category sell — guiding a customer from a serum to the complementary moisturizer, or a lip liner to the lipstick — which is precisely how AOV climbs. And it deploys consistently across web, app, and email, so the personalization follows the customer wherever they shop.

Why both numbers moved#

The 25% AOV lift and the 17% repeat-customer rise tell a single story from two angles. Better discovery grows the basket now (AOV) because complementary, high-fit products surface at the right moment. And better discovery grows the relationship (repeat rate) because a customer who consistently finds products that work for them learns to trust the store and returns.

That second effect is the more valuable one. Acquiring a customer is expensive; the profit is in the repeat. A 17% lift in repeat customers means the cost of acquisition is amortized over more orders, and the lifetime value of each shopper rises. Discovery AI is one of the few levers that improves the first purchase and the fifth purchase simultaneously.

What this means for your store#

You don’t need Sephora’s catalog or its loyalty program to use this play. The mechanics translate to any considered-purchase category:

Personalize discovery to each shopper’s profile and intent so the browse feels curated, not overwhelming.
Drive cross-category recommendations to lift AOV at the moment of highest receptivity.
Keep personalization consistent across web, app, and email so trust — and repeat purchases — compound.

When customers find products that genuinely fit, they spend more today and come back tomorrow. That’s the whole game.

Bring discovery AI to your store with CartAmplify#

CartAmplify brings the same AI-powered product discovery that helped Sephora lift AOV 25% and repeat customers 17% to any store — Shopify, dropshipping, or marketplace. Personalized discovery that grows the basket and builds the relationship.

Try CartAmplify free →

Figures cited from publicly reported Sephora AI case studies. Results vary by catalog, traffic, and implementation.