Customer loyalty describes the tendency of a customer to choose one business or product over another for a particular need. In the packaged goods industry, customers may be described as being "brand loyal" because they tend to choose a certain brand of soap more often than others. Note the use of the word "choose" though; customer loyalty becomes evident when choices are made and actions taken by customers. Customers may express high satisfaction levels with a company in a survey, but satisfaction does not equal loyalty. Loyalty is demonstrated by the actions of the customer; customers can be very satisfied and still not be loyal.
Customer Loyalty has become a catch-all term for the end result of many marketing approaches where customer data is used. You can say Relationship Marketing or Database Marketing or CRM, and what you are really talking about is trying to increase customer loyalty - getting customers to choose to buy or visit more. Increased customer loyalty is the end result, the desired benefit of these programs. All of the above approaches have two elements in common - they increase both customer retention and the life time value of customers.
Customer loyalty is the result of well-managed customer retention programs; customers who are targeted by a retention program demonstrate higher loyalty to a business. All customer retention programs rely on communicating with customers, giving them encouragement to remain active and choosing to do business with a company.
You want customers to do something, to take action. You want them to visit your website, make a purchase, sign up for a newsletter. And once they do it for the first time, you want them to continue doing business with you, especially since you probably paid big money to get them to do business with you the first time. You don’t want to pay big money the second time. You want to create a "loyal" customer who engages in profitable behavior.
Customer data and models based on this data can tell you which customers are most likely to respond and become loyal, no matter what kind of front-end marketing program you are running or how you "wrap it up" and present it to the customer. The data will tell you who to promote to, and how to save precious marketing dollars in the process of creating customers who are loyal to you longer.
For example, let's say you look at your most loyal customers and find on average they buy or visit at least once every 30 days. So you begin tracking these customers, and discover 20% of them "skip" their 30 day activity. In addition, 90% of the 20% who skip never come back. You are watching the erosion of customer loyalty right before your eyes.
And it's too late to do anything about it, because they're already gone. You will waste a tremendous amount of money trying to get them back. You have to develop a way to identify high loyalty customers who are at risk, and take action before they leave you.
This is accomplished by using the data customers create through their interactions with you to build simple models or rules to follow. These models can be your early warning system, and will alert you to situations like the "30 day skip" example above in time for you to do something before the customer defects. Behavior models cause the data to speak to you about the loyalty status of the customer before it's too late.
India is progressing very well!!!