Role of Online Shopping Websites in Consumer Satisfaction Based Statistical Analysis

Nowadays, online shopping is very popular as there are many platforms are available. To dig into the consumer behavior for shopping there are many researchers, industries are working to provide the model to analyze consumer satisfaction. As people are searching a lot over the websites according to their interests, so the data is collected by the platforms and do analysis over it to find the consumer behaviour to improve their search and improve the platforms accordingly. Therefore, there is also need to analyze the selfcongurance, impulse buying and price sensitivity parameters which are directly or indirectly impact on the consumer satisfaction. Our aim is to develop a model to analyzes above mentioned parameters and find the relationship between each other. We also suggested some hypotheses and evaluate based statistical technique. The overall result is quiet satisfying.