ecommerce_ops · ecommerce · workflow
LuisaViaRoma increases ARPU across multiple touchpoints with Dynamic Yield personalization
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Personalized add-to-cart recommendations
LVR created unique recommendation experiences across countries and audience segments to upsell and cross-sell at the point of purchase.
Tools used
Dynamic Yield
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.
What failed first
LVR had experienced repeated failures with previous personalization providers before turning to Dynamic Yield.
Results
Volume15%
Cost replacedmillions of dollars in top-line revenue
Grounding & classification
Source type: vendor customer story
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personalizationrecommendation systemproduct catalogfailure mode describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedecommerceretailconversion increaserevenue increasevendor customer storyecommerce opsmarketing opsextract classify route