Analyzing the Customer Database
What you’ll learn to do: Examine the objectives for analyzing the customer database
We will explore some of the techniques behind customer retention and customer loyalty programs. How does a retailer identify their best customers? What is market basket analysis and how does it help retailers tailor their product mix? How do retailers leverage their information systems to retain their best customers? What are the tactics used in a customer loyalty program?
- Explain how retailers use CRM to identify their best customers
- Recognize the goals of market basket analysis, targeting promotions, and assortment planning
- Analyze the various tactics of frequent-shopper or rewards programs
- Identify some customer retention techniques based on collected data
Identifying Best Customers
We have seen how the development of powerful CRM systems can provide valuable information to retailers. The more any business knows about their customers, the better they can meet their needs. This is even more crucial for retailers as they must anticipate demand in advance and invest in goods prior to demand.
Using data analyzed from their CRM system, retailers can drill down to find their best customers. The definition of “best customers” may vary from company to company, but in general businesses look for purchase frequency, average purchase amount, lack of returns, response to survey requests, positive reviews on surveys, and posting positive opinions on social media. Further, retailers can learn even more about their best customers by engaging with them using “Relationship Marketing” techniques.
Relationship marketing is a facet of customer relationship management (CRM) that focuses on customer loyalty and long-term customer engagement rather than shorter-term goals like customer acquisition and individual sales.
One-to-one marketing is a CRM strategy where service is personalized for every customer in order to foster customer loyalty. One-to-one marketing has become even more prevalent with the increase in online shopping. Companies like Netflix, eBay, iTunes and Amazon record every single customer click and categorize every purchase in order to construct a detailed customer profile. With that data, these online retailers are able to construct individual marketing plans for each customer