White Paper: How to Increase Basket Size With Full-Look Recommendations

White Paper: How to Increase Basket Size With Full-Look Recommendations

A strategic guide to AI-powered cross-sell, personalization, and AOV growth

Beauty brands are investing more than ever to bring shoppers to their e-commerce sites. But once shoppers arrive, many still hesitate, abandon the journey, or buy only one product when they could have built a complete look.

In other words, beauty brands today are paying 60% more than a few years ago to bring shoppers to their e-commerce sites, but too much value is still lost at the decision point.

This white paper shows how AI-powered Look Finder helps beauty brands move from single-product discovery to guided basket building, helping shoppers buy more confidently while giving brands a clearer path to higher AOV, stronger cross-category sales, and revenue per session growth.

➥ Who should read this white paper?

This white paper is written for beauty brands looking to improve e-commerce performance through more personalized shopping experiences.

It is especially relevant for:

  • Heads of E-commerce and Digital looking to increase AOV and revenue per session
  • Marketing and CMO teams planning campaign-led product discovery and cross-sell strategies
  • Product and technology teams evaluating AI-powered beauty personalization tools
  • Brand and creative teams looking to translate product collections into shoppable looks
  • Multi-category cosmetics brands with broad catalogs across complexion, lip, eye, and face products

➥ Key insights

Inside the white paper, you’ll learn:

  • How rising acquisition costs and shopper hesitation are changing the economics of beauty e-commerce
  • Why virtual try-on and shade matching are valuable, but no longer enough to unlock the full basket opportunity
  • How full-look recommendations help shoppers understand which products work together
  • Why facial-feature-based personalization can make makeup upselling feel more relevant and less intrusive
  • Which KPIs brands should track to measure the impact of Look Finder, including cross-category add-to-cart, AOV uplift, revenue per session, bundled products purchased, and return-rate impact
  • How Look Finder integrates into the Arbelle Webshop Widget and gives brands control over product shelves, catalog setup, widget experience, and multi-mode configuration

Download the white paper

See how Arbelle’s Look Finder helps beauty brands turn single-product discovery into full-look conversion.