Case Study: Avon achieves seamless 1:1 multichannel personalisation and revenue uplift with Dynamic Yield

A Dynamic Yield Case Study

Preview of the Avon Case Study

Building the foundation for personalisation in Avon’s multichannel business

Avon, a 135-year-old global beauty brand with 5.6 million Representatives in more than 70 countries, faced a growing multichannel challenge as customers shifted from brochure and Representative-led sales to online shopping. The added digital channels created data fragmentation and made it harder to deliver the personalised, 1:1 shopping experience customers expect.

Avon consolidated its experimentation, recommendations, and personalization tools onto a single platform, joined cross-channel data, and used RFM-driven audience segmentation and workshops to break down silos. By testing “Recently Viewed” and “Similarity” recommendation strategies on product listing and detail pages in the UK, Czech Republic, and Poland, Avon saw incremental uplifts in cart value and revenue, prompting plans to scale personalization across 26+ countries and add features like social-proof availability, countdown timers, and exit-intent offers.


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