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The conventional way of summarizing ratings or sentiment of reviews ofcustomers on products of an online shopping brand are not sufficient toevaluate the financial health of that brand. It overlooks the social standingand influence of individual customers. In this paper, we have proposed a toolnamed as Review Network for measuring the influence of customers in onlinemerchandise sites like Amazon.com. Using this measured influence, we haveproposed a method that evaluates loyalty of customers of a brand based on theirratings and sentiments of their reviews collected from online merchandisesites. Review network of a brand is built from all the reviews of all theproducts from that brand where nodes are customers and an edge is created if acustomer becomes a potential reader of a review written by another customer.The centrality of a customer in that review network represents her influence.Our proposed method named as Social Promoter Score combines loyalty andcentrality of all customers of a brand. We have compared our method with abaseline approach based on the concept of Net Promoter Score . We have appliedSocial Promoter Score on Amazon.com review data set of some well-known brands.Results show that Social Promoter Score predicts financial health of a brand interms of future sales much better than baseline method. We have noticed that ingeneral effects of Social Promoter Score reflect on the product sales in one tofive months.

Social Promoter Score (SPS) and Review Network: A Method and a Tool for Predicting Financial Health of an Online Shopping Brand