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Post by account_disabled on Dec 3, 2023 23:18:23 GMT -6
That just having AI and machine learning capabilities doesn't guarantee that a brand can deliver a better customer experience. To see meaningful improvements, organizations must first identify the issues affecting the customer experience and decide which ones they want to solve , what data sets they need to collect and monitor, and how they plan to use the data to eliminate the challenges faced. customers. Whether a brand wants to convert more website views into purchases, increase the number of returning customers, provide a smoother transition between different interaction points, or improve online Country Email List shopping, these priorities should be determined early on. departure. Then the right data can be collected and leveraged to solve the problem. Given the overwhelming amount of data generated and collected by businesses today, this is an effective way to optimize initiatives and ensure the most important issues are addressed first. Footasylum provides a great example of the benefits of strategically implementing AI. The brand first focused on a specific obstacle in the customer journey, between stores and the web, using AI to connect in-store purchases and online systems such as loyalty programs, and thus , create a unified view of each customer. It can now predict which customers are most likely to purchase particular products and when. She thus saw a return of 8,400% on her advertising expenses . Footasylum 's next mission is to bring its city center stores back to life by using AI to enable its website to automatically share valuable customer information with its physical retailers.
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