How AI-powered personalization generates 9% of Marc Jacobs' online revenue
Marc Jacobs needed to scale ecommerce personalization while maintaining a curated brand feel, but without dedicated tools the team built product recommendations manually — an approach that was time-consuming, unsustainable, and often fell through during busy periods. Email campaigns offered no personalization beyond basic templates, and peak-season traffic could not be served with relevant, on-brand experiences at scale.
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 · Shopper arrives at site touchpoints
Personalized recommendation modules are placed at key site locations including homepage, category pages, product pages, and mini-carts.
Nosto generates 7-10% of Marc Jacobs' sales throughout the year, rising to around 20% during the holiday season and 22% of total on-site sales during BFCM 2024, while product recommendations drove a +137% increase in average revenue per session.
What failed first
Manual product recommendation building was time-consuming and frequently fell through the cracks, particularly during high-traffic periods when team capacity was most stretched.