Customer Loyalty and Satisfaction
April 3, 2025
Most of the organizations have murkiness in considering customer loyalty and satisfaction. They feel that both are same and a satisfied customer is always loyal to them. But this is not true as the customer can be delightfully satisfied but he may be or may not be loyal. This is because satisfaction an emotional and…
When customers end up his relationship with suppliers, he breaks the loyalty with him. Following are the reasons which are responsible for loyalty break ups: Customer dis-satisfaction: Customer dissatisfaction is the primary reason that results in breaking up the continued loyalty with the supplier. Most of the unsatisfied customers try to find more prominent alternatives…
Every supplier wants to create and retain a loyal customer who engages in continued profitable business with him. Customer Loyalty is the measure of success of the supplier in retaining a long term relationship with the customer. Thus customer loyalty is when a supplier receives the ultimate reward of his efforts in interacting with its…
After gathering the information from desk and field research the raw data must be compiled so that the taxonomic analysis can be performed and data can be broken up into respective parts and segments. This can be achieved in the following manner:
Normally big organizations have large data to be analyzed and the scale substantially goes to 10 or 12 digits. It can be reduced to a scale of 3 to 5 digits to reduce the complexity and time taken in analysis. But accuracy on the other hand will be reduced as the figures need to be rounded off in case the scale is reduced.
Data analysis and compilation also includes data cleaning strategy before the further analysis is performed. This cleaning is basically validating the data for any error or irrelevant data. It’s a separate process for data cleaning performed before the analysis which is very important to fetch desirable results. This process also includes determining the missing values and inputting the most appropriate values in place.
It is also important to maintain the quality of the analysis and compilation for which the ideal key is use reliable measurement techniques.
Data sampling is also one more distinguished approach to decrease probability of repetitive data elements. It includes creating subsets of information according to a specific variable value and managing them as a whole. More the data is relevant the more accurate the results are.
An organization must define all the objectives in accordance to market requirement. The results from the compilation and analysis of data and information are very important and significant for the organization and shows success factors. The result of the process also depicts the trend of the organization by determining weak and strong points and how they stand stood in the market. Hence, every organization should have an organized and sophisticated way of compiling and analyzing the information.
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