Customers may use various retail touch points to purchase products and to contact a company for service and support. Companies can get a complete view of their customers by aggregating data from such touch points to acquire a 360-degree view of the customer.
Technologies such as mobile devices, online communities, social media platforms, and more, has resulted in a boom in the number of touch points for customer interaction. Without the right tools, this can pose a serious challenge in aggregating the data from the many diverse interactions that the customers may have across channels.
Nowadays, retail businesses can employ an increasing assortment of tools to obtain a 360-degree customer view to gather customer information – social media listening tools to listen to what customers are saying on various social media sites, predictive analytics tools to determine what customers may research or purchase next, customer relationship management suites to track the customers’ buying history and to reward them, and marketing automation software to offer a seamless, unified omni-channel shopping experience to the customers. Such software should have the ability and the interface to integrate with other applications to enable data sharing and attain a cohesive, up-to-date, accurate view of customers in the real-time.
The 360-degree view of customers also often requires a big data analytics strategy to marry structured data, or data that can reside in the rows and columns of a database, with unstructured data as it resides on social media platforms and so forth is becoming increasingly important.