• SriGeethika Nagavajyula
• Dr. Sunil Bhutada
• P. Tarun

Customer segmentation and retention are the main components of customer analytics. The main aim of Customer Segmentation is to classify the customers of a particular market place or any retail entity into different groups using which the organization can attract the customers back with new ideas, offers and combos. The retention part of the Customer Analytics mainly focuses on bringing back the customers to the same store or organization. It deals with providing the customers with their needs and ultimately with satisfaction. We perform simple customer data analytics followed by calculating the retention rates from the taken data set. The segmentation of customers into various groups is done in 2 ways. One of them is using RFM Analysis and the other method is by using K-Means Clustering. Finally, Apriori algorithm is implemented in order to find the buying patterns of the customers. Customer retention can put any organization ahead of its competitors by increasing its own market economy and profit. Customer segmentation acts as a helping factor in customer retention, using which we can bring in customer group specific offers or policies to attract such consumer groups. It also helps in building loyalty of the customers towards the retail organization.

"Customer Analytics based on Segmentation, Retention and Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.f87-f90, January-2023, Available :http://www.jetir.org/papers/JETIR2301513.pdf

"Customer Analytics based on Segmentation, Retention and Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppf87-f90, January-2023, Available at : http://www.jetir.org/papers/JETIR2301513.pdf