Case Study: FatFace achieves 1.71% conversion rate uplift in 10 days with Taggstar's machine learning and aggregated review messaging

FatFace achieves a further 1.71% conversion rate uplift in 10 days with the addition of machine learning and aggregated review messaging

FatFace, a British family lifestyle clothing brand with a large digital and store presence, had been using Taggstar’s social proof messaging across product detail and basket pages (an 11-message implementation) and had already seen a 4.4% conversion uplift. They wanted to further increase buyer confidence by incorporating aggregated product review messaging and smarter, context-sensitive signals for different stages of the customer journey.

Taggstar partnered with Bazaarvoice to add two aggregated review message types and deployed Taggstar’s machine-learning to surface the most relevant messages in real time (expanding messaging from 11 to 13 types). The December 2021 optimisation test delivered an additional 1.71% conversion rate uplift in just 10 days, and FatFace plans to roll out Taggstar social proof more broadly across PLPs, wishlist and email.

FatFace

Liam Price

Head of E-commerce