Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and ...
Excel is that tool. Every example in this book features step-by-step instructions, a downloadable Excel file containing data and solutions, and plenty of screenshots. To sharpen your marketing analytics, you just need this guide and Excel.
Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you.
Paid search advertising is a powerful tool for marketers looking to match their offers with consumers who are ... Marketing Metrics, The Definitive Guide to Measuring Marketing Performance (Upper Saddle River, NJ: FT Press, 2010). 3.
The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications.
Because you've barely begun to use it, that's why! Good news: neither have your competitors. It's hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you.
Resource Allocation -- Cluster Analysis -- Conjoint Analysis -- Linear Regression -- Customer Lifetime Value -- Marketing Experiments -- Paid Search Advertising -- Text Analytics -- Logistic Regression -- Recommendation Systems -- ...
Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.
The tools described in the book will aid marketers in making intelligent decisions to drive revenue and results in their organizations.
What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value ...