Haifa Petroleum Co. Sales Analysis

dc.contributor.advisor	Dwikat, Mohammad
dc.contributor.author	Nasra, Mahmoud
dc.contributor.author	M Zyoud, Shayma
dc.date.accessioned	2017-11-22T08:30:48Z
dc.date.available	2017-11-22T08:30:48Z
dc.date.issued	2017
dc.description.abstract	The purpose of this project is to make customer segmentation (breaking down the customer base into segments by a number of different metrics), which in turn helps in identifying the best customers using their data in order to maintain those worthy ones attract the less loyal ones and find out the reasons why they are not loyal to the company , and then take an action to deal with these segments separately . We used IBM SPSS to analyze the data , we chose to apply RFM ( Recency , frequency , monetary ) model, to gain insight into customer behavior . The project illustrates Minimum data requirements, Model Description and how the model factors are categorized into bins, it also describes model figuration and each step separately, and some challenges that we faced and the solves we came up with ,Finally, the results we got and their explanation. RFM results can be used to make a more detailed reports and papers that are needed by managers and decision makers, especially when they want to get a very high ROI marketing campaigns and site designs .	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.11888/12729
dc.language.iso	en	en_US
dc.title	Haifa Petroleum Co. Sales Analysis	en_US
dc.type	Graduation Project	en_US

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