Ecommerce ops · Production

LuisaViaRoma increases ARPU by up to 15% with Dynamic Yield ML-powered personalization

The problem

LVR needed to optimize the luxury buying experience — helping shoppers find the right items quickly, increasing revenue per visitor, and obtaining flexible ML-powered recommendations — after repeated failures with previous personalization providers.

First attempt

LVR had a history of bad experiences with earlier personalization providers before switching to Dynamic Yield.

Workflow diagram · grounded in source

Personalized add-to-cart recommendations

ai_action

“LVR created unique recommendation experiences across countries and audience segments. While the company started by simply testing different strategies, eventually they added merchandising rules to create a truly 1:1 experience”

Thank you page recommendation optimization

ai_action

“Dynamic Yield identified opportunities to increase revenue by identifying audiences likely to prefer a less popular variation. In this case, showcasing most popular products was often the best strategy while personalized recommendations …”

Cart page urgency messaging

output

“LVR added low in stock messaging for popular items that were running out of stock. In nearly all markets, the message increased CTR, and revenue per session”

Reported outcome

LVR achieved significant increases in average revenue per user across multiple use cases, adding millions of dollars in top-line revenue, with a 15% ARPU increase from add-to-cart recommendations, 14% from thank you page optimization, and 6% from urgency messaging.

Reported metrics

ARPU from add-to-cart recommendations15%

ARPU from thank you page recommendations14%

ARPU from targeted urgency messaging6%

Top-line revenue addedmillions of dollars in top-line revenue

Reported stack

Dynamic Yield

Source

https://www.dynamicyield.com/case-studies/luisaviaroma

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

LVR achieved significant increases in average revenue per user across multiple use cases, adding millions of dollars in top-line revenue, with a 15% ARPU increase from add-to-cart recommendations, 14% from thank you p…

What tools did this team use?

Dynamic Yield.

What results were reported?

ARPU from add-to-cart recommendations: 15%; ARPU from thank you page recommendations: 14%; ARPU from targeted urgency messaging: 6%; Top-line revenue added: millions of dollars in top-line revenue (source-reported, not independently verified).

What failed first in this deployment?