{"product_id":"customer-lifetime-value-modeling-with-applications-in-python-and-r","title":"Customer Lifetime Value Modeling with Applications in Python and R","description":"\u003cp\u003eFirms and organisations cannot exist without customers. They essentially constitute the key ingredient to make a firm profitable and add shareholder and societal value. Despite recent technological advances in both data storage as well as processing and analysis, many small to large-scale firms are still struggling to quantify customer value, optimise customer relationships, facilitate customer experiences and identify customer journeys.\u003cbr\u003e\u003cbr\u003eDue to a nearly continuously expanding product portfolio, with new products and services being developed and marketed on an on-going basis, along a diversity of existing as well as innovative channels, modeling customer lifetime value is a\u003cbr\u003efar from simple exercise with many challenges and difficulties arising. More specifically, throughout our dealings with firms, we often found that simple questions such as \"Who is actually your customer?\", \"Who are your most valuable customers?\", \"What is the best way to acquire new customers\"?, \"Why do your customers leave you?\", \"What product\/service should be offered to what customer?\", \"How can you sell more to your customers?\", \"How do you measure customer value?\", often provoked intense (if not fierce) discussions with answers not always readily available and uniformly agreed upon by business practitioners across different departments. This book tries to answer exactly these questions using data-driven and analytical techniques and insights. More specifically, we try to provide a clear and to-the-point guide of how to define, quantify, model and deploy Customer Lifetime Value (CLV) models from various perspectives by first identifying and defining the key problems and then offering ways to tackle them using carefully selected data combined with state of the art analytics.\u003cbr\u003e\u003cbr\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 18px; font-weight: 700;\"\u003eAbout the author\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProfessor Bart Baesens \u003c\/strong\u003eis a professor of Big Data \u0026amp; Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data \u0026amp; analytics, credit risk modeling, fraud detection, and marketing analytics. He co-authored more than 250 scientific papers and 10 books some of which have been translated into Chinese, Japanese, Korean, Russian and Kazakh, and sold more than 40,000 copies of these books world-wide. Bart received the OR Society’s Goodeve medal for best JORS paper in 2016 and the EURO 2014 and EURO 2017 award for best EJOR paper. His research is summarized at www.dataminingapps.com. He also regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy. Bart is listed in the top 2% of Stanford University's new Database of Top Scientists in the World. He was also named one of the World's top educators in Data Science by CDO magazine in 2021 and has educated tens of thousands of data scientists across the globe in the fields of credit risk, fraud, marketing, ICT, HR and others. Bart also has his own ON-LINE learning BlueCourses platform: \u003ca href=\"http:\/\/www.bluecourses.com\"\u003ewww.bluecourses.com\u003c\/a\u003e which features courses on machine learning, credit risk, fraud, marketing, text analytics, deep learning, web scraping etc.\u003c\/p\u003e","brand":"Independently published","offers":[{"title":"Default Title","offer_id":50506341613638,"sku":"9798847676137","price":7116.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61GJAh8XX5L._SL1500.jpg?v=1790327464","url":"https:\/\/cb-india.com\/products\/customer-lifetime-value-modeling-with-applications-in-python-and-r","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}