Ecommerce ops · Production

LuisaViaRoma increases ARPU across multiple touchpoints with Dynamic Yield personalization

The problem

LVR needed to help luxury shoppers find the right products quickly, increase revenue per visitor, and achieve true 1:1 personalization — after a history of failed attempts with prior personalization providers.

First attempt

LVR had experienced repeated failures with previous personalization providers before turning to Dynamic Yield.

Workflow diagram · grounded in source
1
Personalized add-to-cart recommendations
ai_action
“To upsell and cross-sell at the point of purchase, LVR created unique recommendation experiences across countries and audience segments”
2
Merchandising rules for 1:1 experience
ai_action
“they added merchandising rules to create a truly 1:1 experience, leading to a 15% boost in average revenue per user”
3
Thank you page recommendation optimization
feedback_loop
“By continually testing recommendation strategies across the thank you page, LVR helped users serendipitously discover more products or accessories to pull off the perfect look”
4
Audience-based recommendation strategy selection
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“Dynamic Yield identified opportunities to increase revenue by identifying audiences likely to prefer a less popular variation”
5
Urgency messaging on cart pages
ai_action
“Capitalizing on the power of FOMO (fear of missing out), LVR added low in stock messaging for popular items that were running out of stock”
Reported outcome

LVR achieved a 15% ARPU boost from personalized add-to-cart recommendations, a 14% ARPU increase from thank you page optimization, and a 6% ARPU increase from urgency messaging, adding millions of dollars in top-line revenue.

Reported metrics
ARPU from add-to-cart recommendations15%
ARPU from thank you page recommendations14%
ARPU from 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 a 15% ARPU boost from personalized add-to-cart recommendations, a 14% ARPU increase from thank you page optimization, and a 6% ARPU increase from urgency messaging, adding millions of dollars in top-line…

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 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?

LVR had experienced repeated failures with previous personalization providers before turning to Dynamic Yield.

How is this ecommerce ops AI workflow structured?

Personalized add-to-cart recommendations → Merchandising rules for 1:1 experience → Thank you page recommendation optimization → Audience-based recommendation strategy selection → Urgency messaging on cart pages.

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