Many businesses use a survey with a series of questions that is used to create a net promoter score. This serves as an indication of how a customer’s experience with the service of a business was. Each plot point in this visualization represents a store, with the color representing the average sentiment score of that store.
From this, we can see that stores with low net promoter scores and generally lower sentiment scores tend to have less revenue than those with higher scores. A weekly analysis here could reveal any low performing stores, from which the reviews can be further analyzed to detect any specific problems and rectify them. Using reviews from the customers, stores can boost their revenue and profitability.
Outside of analyzing reviews as a whole, it may be beneficial to look at individual words too. Being able to search for specific words to see where and how often they are occurring can help detect problems. For example, to see how many locations may be having an issue with rudeness or slow service, using a network visualization yields the following: