Why do the best fashion retailers extend discovery beyond the website and into the inbox? Because email is a channel they fully own, and personalized discovery turns it from a broadcast into a revenue engine. ASOS does exactly that, reading behavioral signals to surface the right items wherever the shopper is.
The result: ASOS’s AI product discovery analyzes viewing patterns and wishlists to surface relevant items, driving a 75% increase in email engagement and 25% higher average order value.
Discovery shouldn’t stop at the website#
Most stores think of discovery as an on-site experience — recommendation rows, personalized pages. But the same engine that helps shoppers on the site can power the channels that bring them back. Email is the prime example: a generic “new arrivals” blast gets ignored, while an email populated with items chosen for that specific recipient gets opened and clicked.
ASOS feeds its discovery engine — built on viewing patterns, wishlist additions, and behavior — directly into email. The result is a 75% lift in email engagement, because each send surfaces products the recipient actually wants. The 25% AOV lift follows from better discovery throughout the journey.
How discovery AI works#
Discovery AI personalizes what each shopper sees based on their behavior, and that personalization can extend to every channel. It reads signals like views and wishlist adds to predict relevant products, then surfaces them on-site and in the inbox.
Three mechanics drive ASOS’s result. The engine reads rich signals — viewing patterns and wishlists, which capture intent the shopper hasn’t acted on yet. It personalizes across channels, applying the same intelligence to email as to the website. And it surfaces relevance, populating each touchpoint with items the individual is most likely to want.
Why owned-channel discovery is so valuable#
Email’s economics are unbeatable when it works — you own the channel, so the marginal cost is near zero. The difference between a generic blast and a personalized one is the difference between deletion and a click, and ASOS’s 75% engagement lift quantifies it. Personalized discovery turns email from a cost center into a revenue driver, bringing lapsed and casual shoppers back with products tuned to them.
The 25% AOV lift compounds the effect: better discovery surfaces complementary, higher-intent items, growing each order. Together they show discovery’s reach beyond the storefront.
What this means for your store#
Your owned channels are underused if discovery stops at the website:
- Extend personalized discovery into email and other owned channels, not just on-site.
- Use rich signals — wishlists, views, saves — to capture intent shoppers haven’t acted on.
- Populate every touchpoint with relevant items to grow engagement and order value.
Email is the channel you own. Personalized discovery is what makes it convert.
Bring discovery AI to your store with CartAmplify#
CartAmplify brings AI-powered discovery across every channel — on-site and email — to any store: Shopify, dropshipping, or marketplace. The same approach that lifted ASOS’s email engagement 75% and AOV 25%.
Related reading#
- How ASOS Uses Browse AI to Lift AOV 25%
- How ASOS Lifts AOV 25% with AI Outfit Recommendations
- How home24 Proved a 21% Lift from AI Discovery
Figures cited from publicly reported ASOS AI case studies. Results vary by catalog, traffic, and implementation.
