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Customers are more empowered and connected than ever. They have access to information anywhere, any time – where to shop, what to buy, how much to pay, etc. That makes it increasingly important to predict how customers will behave when interacting with an organization, so you can respond accordingly. The deeper your understanding of customers’ buying habits and lifestyle preferences, the more accurate your predictions of future buying behaviors will be and the more successful you will be at delivering relevant offers that attract rather than alienate customers.

Customer experience management is all  about knowing your customers totally so that you can create personalized experiences that win their loyalty and urge them to evangelize to others about you. That’s the most important advertising there is. To deliver this, you need analytics. With analytics you can maintain and build complete customer profiles. You can personalize all customer interactions. And you can get the right message to the right place at the right time, all the time time.

The customer experience has become a key differentiator for competitive businesses. Top organizations are improving both customer loyalty and profitability by creating consistently positive end-to-end experiences for their customers. But with our ever-evolving marketplace many new ideas and best practices are emerging for how to create both unique and superior customer experiences that make a difference. Several organizations take a strategic view of the customer experience, including how to design, implement manage the customer experience in a disciplined way, address challenges and develop best practices for evaluating customer analytics to gain insight into the full customer experience ecosystem.

As the backbone for all marketing activities, customer analytics comprises techniques such as predictive modeling, data visualization, information management and segmentation. These are the processes and technologies that give organizations the customer insight necessary to deliver offers that are anticipated, relevant and timely. Using real-time customer analytics with your predefined business processes along with assortment optimization enables you to choose the most profitable mix for a specific touch point. The best solutions work by projecting inventory profitability based on a number of objectives such as consumer loyalty, product relationships and category role.

A well-tuned data provides more meaningful customer insights.  Using this data and assortment optimization, you will be able to meet your customers’ expectations better ,with the right merchandise in the right place at the right time.  Businesses  that stay focused on their customers’ needs will be able to stay ahead of their competition.