Personalized recommendations increased CVR by 4.4X
The fashion e-commerce market has become increasingly saturated with similarly positioned competitors. To maintain its edge, the fashion label wanted to improve its overall user experience to increase customer engagement and loyalty and drive up sales and average order values.
Disjointed approach to marketing that failed to sync up all available channels
With various digital and social channels, the client did not fully integrate them cohesively into its marketing strategy to target its potential customers. Social media posts, email campaigns and the website felt separate, instead of complementary marketing components that drove traffic and sales.
Lackluster user experience without recommendations or other engagement
The e-commerce platform itself lacked advanced, personalized recommendations that would match shoppers with products and prompt shoppers to stay engaged with the site.
Malaysian fashion brand Doublewoot used Appier’s customer engagement platform AIQUA for a more holistic and customer-centric approach to engaging its existing and potential customers. AIQUA’s personalization features focused each of the fashion house’s marketing collateral so that they only target those with whom there is a good chance for success. Through working with Appier, Doublewoot was able to improve how it engaged with its customers and deliver a more seamless and personalized experience across its multiple channels.
Relevant recommendations increased average page views by
AI image recommendations increased session duration by
EDMs with personalized recommendations increased CVR by
Start Growing Your Business Today with Appier