Appier supports EF Shop to adopt AI in its digital transformation trilogy

EF Shop looked forward to interacting more closely with customers online and providing its diversified product selection. Appier provided suitable solutions for different stages of EF Shop’s marketing processes, and gradually implemented a digital transformation trilogy for EF Shop.

  • Phase 1: Multichannel marketing automation for easier engagement

EF Shop used AIQUA to automatically push out messages to customers on different channels such as its website, the LINE app, and email inboxes. In Phase 1, the client improved its web engagement that resulted in 4X the subscription rate and 3.6X the active subscriber count of the industry benchmark. With AIQUA, the client sent out 1-2 million marketing emails per month and effectively re-engaged dormant users to shop with the platform.

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  • Phase 2: Fundamental recommendation engine

EF Shop onboarded one of AIQUA’s recommendation engines that displays items that people who “viewed also viewed.” With this one recommendation scenario alone, which shows what people who looked at the item a shopper is currently looking at also viewed, the website was able to display personalized product recommendations to increase the probability of and speed up transaction. This section was strategically featured on product and shopping cart pages, where shoppers are likely to be thinking about what else to buy.

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