{ "item_title" : "Pricing Analytics", "item_author" : [" Walter R. Paczkowski "], "item_description" : "This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models--now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analysts--economists, statisticians, or market researchers--who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/04/119/811/1041198116_b.jpg", "price_data" : { "retail_price" : "190.00", "online_price" : "190.00", "our_price" : "190.00", "club_price" : "190.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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