When you want to find marketing analytics, you may need to consider between many choices. Finding the best marketing analytics is not an easy task. In this post, we create a very short list about top 9 the best marketing analytics for you. You can check detail product features, product specifications and also our voting for each product. Let’s start with following top 9 marketing analytics:
Reviews
1. Storytelling with Data: A Data Visualization Guide for Business Professionals
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Storytelling with Data A Data Visualization Guide for Business ProfessionalsDescription
Don't simply show your datatell a story with it!Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:
- Understand the importance of context and audience
- Determine the appropriate type of graph for your situation
- Recognize and eliminate the clutter clouding your information
- Direct your audience's attention to the most important parts of your data
- Think like a designer and utilize concepts of design in data visualization
- Leverage the power of storytelling to help your message resonate with your audience
2. Marketing Analytics: Data-Driven Techniques with Microsoft Excel
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WileyDescription
Helping tech-savvy marketers and data analysts solve real-world business problems with Excel
Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniquesand achieve optimum results.
Practical exercises in each chapter help you apply and reinforce techniques as you learn.
- Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools
- Reveals how to target and retain profitable customers and avoid high-risk customers
- Helps you forecast sales and improve response rates for marketing campaigns
- Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising
- Covers social media, viral marketing, and how to exploit both effectively
Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.
3. Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques
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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 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.
4. Marketing Analytics: Strategic Models and Metrics
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Used Book in Good ConditionDescription
Marketing Analytics: Strategic Models and Metrics offers marketing students and professionals a practical guide to strategic decision models and marketing metrics. The tools described in the book will aid marketers in making intelligent decisions to drive revenue and results in their organizations.
The book contains a wealth of information on marketing analytics:
- Almost 500 pages of text, covering a wide variety of decision models and metrics
- Nearly 400 figures, including diagrams, tables, and charts
- Step-by-step instructions on market segmentation, conjoint analysis, and other techniques
- Current examples demonstrating how organizations are applying models and metrics
The list of chapters below includes a sample of the topics:
- Chapter 1. Introduction - Introduction to marketing analytics
- Chapter 2. Market Insight - Market sizing and trend analysis
- Chapter 3. Market Segmentation - Segment identification, analysis, and strategy
- Chapter 4. Competitive Analysis - Competitor identification, analysis, and strategy
- Chapter 5. Business Strategy - Analytics-based strategy selection
- Chapter 6. Business Operations - Forecasting, predictive analytics, and data mining
- Chapter 7. Product and Service Analytics - Conjoint analysis and product/service metrics
- Chapter 8. Price Analytics - Pricing techniques and assessment
- Chapter 9. Distribution Analytics - Analytics-based channel evaluation and selection
- Chapter 10. Promotion Analytics - Promotion budget estimation and allocation
- Chapter 11. Sales Analytics - Metrics for sales, profitability, and support
- Chapter 12. Analytics in Action - Pivot tables and data-driven presentations
Edition: First Edition, Version 1.1, introduced November 2013. Revision 1.1 incorporates minor corrections and edits. It retains the same layout as the original release (First Edition, Version 1.0). See StephanSorger.com for a complete record of all changes.
5. Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know
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John Wiley SonsDescription
NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETING ASSOCIATIONHow organizations can deliver significant performance gains through strategic investment in marketing
In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing.
- Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization
- In-depth discussion of the fifteen key metrics every marketer should know
- Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms
- Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending
- In-depth examples of how to apply the principles in small and large organizations
- Free downloadable ROMI templates for all examples given in the book
With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time.
6. Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data
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Make personalized marketing a reality with this practical guide to predictive analyticsPredictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience.
Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today.
- Implement predictive marketing at any size organization
- Deliver a more personalized marketing experience
- Automate predictive analytics with machine learning technology
- Base marketing decisions on concrete data rather than unproven ideas
Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
7. Marketing Analytics: A Practical Guide to Real Marketing Science
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Mike Grigsby provides business analysts and marketers with the marketing science understanding and techniques they need to solve real-world marketing challenges, such aspulling a targeted list, segmenting data,testing campaign effectiveness, and forecasting demand.
Assuming no prior knowledge,Marketing Analyticsintroduces concepts relating to statistics, marketing strategy, and consumer behavior and then works through a series of problems by providing various data modeling options as solutions. By using this format of presenting a problem and multiple ways to solve it, this book bothmakes marketing science accessible to beginners and aids the more experienced practitioner in understandingthe more complex aspects of data analytics to refine their skills and compete more effectively in the workplace.
8. R for Marketing Research and Analytics (Use R!)
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This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.
Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.
With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.
9. Cutting Edge Marketing Analytics: Real World Cases and Data Sets for Hands On Learning (FT Press Analytics)
Description
Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics.
For each marketing problem, the authors help you:
- Identify the right data and analytics techniques
- Conduct the analysis and obtain insights from it
- Outline what-if scenarios and define optimal solutions
- Connect your insights to strategic decision-making
Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of:
- The real value of marketing analytics
- How to integrate quantitative analysis with managerial sensibility
- How to apply linear regression, logistic regression, cluster analysis, and Anova models
- The crucial role of careful experimental design
For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics