Ecommerce Analytics: Analyze and Improve the Impact of Your Digital Strategy

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Today's Complete, Focused, Up-To-Date Guide to Analytics for EcommerceEcommerce analytics is not generic analytics. Rather, it encompasses specific, powerful techniques for collecting, measuring, analyzing, visualizing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers.Ecommerce Analytics is the first focused, coherent, and practical guide to applying modern analytics in ecommerce. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage all your data resources to improve efficiency, grow revenue, reduce cost, and boost profitability.This landmark guide focuses on using analytics to solve the critical problems ecommerce organizations face, from generating demand to acquiring customers, understanding and shaping digital behavior to accelerating and optimizing conversion, nurturing new customers to re-engaging and retaining former purchasers.Phillips helps you integrate ecommerce analytics throughout all facets of digital experience, product development, business management, transactions, merchandising, and marketing. You'll discover techniques for improving strategy, tactics, and experience and measuring performance throughout the customer lifecyle, including mobile, social, and the Internet of Things (IoT).From building teams and models through choosing platforms and channels, Phillips covers all you need to fully leverage analytics in any ecommerce organization.Answer the questions that drive ecommerce profits! Customers: What are the characteristics of my most (and least) loyal customers, and how do I segment them? Marketing: How do our customers perceive us? Which have the highest lifetime value? Categories/Products: Which products earn the highest sales or margins? Which are purchased together? Price/Promotions: What's the business impact of discounts and promotions? Channels: How are my channels performing? How do they compare to and complement each other? Prospects/Customers: Which prospects should I target? What offers will work best? Optimization/Prediction: What site elements should I test? What products should I order?