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Sweaty Betty embraces personalisation

Sweaty Betty embraces personalisation
Friday November 8 2013

Women’s retailer integrates customer feedback as part of strategy to deliver comprehensive product information and a personalised online shopping experience

Sweaty Betty recently revealed it has selected RichRelevance to deliver dynamic e-commerce personalisation for its customers online, to drive sales and increase customer engagement.

By integrating RichRelevance’s personalisation technology online, the women’s boutique activewear retailer will be able to cross reference shopping behaviour with data on fitness wear products, the type of activity products are best suited to, brands available and product specifications to create a more customer-centric user experience. 

Intuitive online browsing experience 

Visitors browsing the site will also now see product recommendations, which adjust in real-time and provide each customer with suggestions relevant to their own specific fitness needs based on 100 independent algorithms used by RichRelevance.

Aalish Yorke-Long, Sweaty Betty head of e-commerce, said: “The ability to capture and maintain the attention of customers is more challenging than ever before. We are constantly looking for opportunities to deliver a best-in-class online experience to help us stand out from the crowd. 

"Moving further towards a personalised online experience was a natural next step for Sweaty Betty, as we aim to reflect and amplify our award winning instore customer service on our digital flagship." 

She added: “We chose RichRelevance to help us deliver a more personal shopping experience as they intuitively understand our brand and how we can translate this very personal experience into the online space.” 
The next, Winter issue of Retail Technology magazine will feature an in-depth interview with Yorke-Long, discussing the strategy behind Sweaty Betty’s new online investments. Contact us to subscribe and receive your copy.

Tagged as: Sweaty Betty | fitness | fashion | online | e-commerce | personalisation | recommendations | algorithms | RichRelevance