If you looking for consumer analytics then you are right place. We are searching for the best consumer analytics on the market and analyze these products to provide you the best choice.
Best consumer analytics
1. Customer Analytics For Dummies
Description
The easy way to grasp customer analyticsEnsuring your customers are having positive experiences withyour company at all levels, including initial brand awareness andloyalty, is crucial to the success of your business. CustomerAnalytics For Dummies shows you how to measure each stage ofthe customer journey and use the right analytics to understandcustomer behavior and make key business decisions.
Customer Analytics For Dummies gets you up to speed onwhat you should be testing. You'll also find current information onhow to leverage A/B testing, social media's role in thepost-purchasing analytics, usability metrics, prediction andstatistics, and much more to effectively manage the customerexperience. Written by a highly visible expert in the area ofcustomer analytics, this guide will have you up and running onputting customer analytics into practice at your own business in notime.
- Shows you what to measure, how to measure, and ways tointerpret the data
- Provides real-world customer analytics examples from companiessuch as Wikipedia, PayPal, and Walmart
- Explains how to use customer analytics to make smarter businessdecisions that generate more loyal customers
- Offers easy-to-digest information on understanding each stageof the customer journey
Whether you're part of a Customer Engagement team or a product,marketing, or design professional looking to get a leg up,Customer Analytics For Dummies has you covered.
2. Digital Marketing Analytics: Making Sense of Consumer Data in a Digital World: Making Sense of Consumer Data in a Digital World (Que Biz-Tech)
Description
Distill Maximum Value from Your Digital Data! Do It Now!Why hasnt all that data delivered a whopping competitive advantage? Because youve barely begun to use it, thats why! Good news: neither have your competitors. Its hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you. Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results! Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing!
- Prioritizebecause you cant measure and analyze everything
- Use analysis to craft experiences that profoundly reflect each customers needs, expectations, and behaviors
- Measure real digital media ROI: sales, leads, and customer satisfaction
- Track the performance of all paid, earned, and owned digital channels
- Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR
- Start optimizing digital content in real time
- Implement advanced tools, processes, and algorithms for accurately measuring influence
- Make the most of surveys, focus groups, and offline research synergies
- Focus new marketing investments where theyll deliver the most value Identify and understand your most important audiences across the digital ecosystem
Sam Knowles, Founder & MD of Insight Agents; author of Narrative by Numbers: How to Tell Powerful & Purposeful Stories with Data
3. Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques
Description
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.
4. Business Analytics: Applications To Consumer Marketing
Description
Increased customer focus and the exponential increase in the volume, velocity, and variety of data and the unrelenting need to stay one step ahead of competition has sharpened focus on using analytics within organizations. With business pressing more on the need to enhance their analytics capability for predicting and optimizing outcomes, this book offers practical guidance on the application of analytics for driving business decisions by adopting a customer centric approach to marketing.Salient Features
Features Strategic Imperatives of Analytics
Sharp focus on a customer centric approach for leveraging analytics
Industry wide detailed real life examples
Table of Contents
Preface
Acknowledgements
Two Usage Management
Three Cross - Sell
Four Retention Management
Five Pricing
Six Credit Bureau
Seven Quantitative Methods
Eight Analytics Ecosystem
Glossary
Index
About the Authors
5. This Is Marketing: You Can't Be Seen Until You Learn to See
Description
#1 Wall Street Journal BestsellerInstant New York Times Bestseller
A game-changing approach to marketing, sales, and advertising.
Seth Godin has taught and inspired millions of entrepreneurs, marketers, leaders, and fans from all walks of life, via his blog, online courses, lectures, and bestselling books. He is the inventor of countless ideas that have made their way into mainstream business language, from Permission Marketing to Purple Cow to Tribes to The Dip.
Now, for the first time, Godin offers the core of his marketing wisdom in one compact, accessible, timeless package.This is Marketing shows you how to do work you're proud of, whether you're a tech startup founder, a small business owner, or part of a large corporation.
Great marketers don't use consumers to solve their company's problem; they use marketing to solve other people's problems. Their tactics rely on empathy, connection, and emotional labor instead of attention-stealing ads and spammy email funnels.
No matter what your product or service, this book will help you reframe how it's presented to the world, in order to meaningfully connect with people who want it. Seth employs his signature blend of insight, observation, and memorable examples to teach you:
* How to build trust and permission with your target market.
* The art of positioning--deciding not only who it's for, but who it's not for.
* Why the best way to achieve your goals is to help others become who they want to be.
* Why the old approaches to advertising and branding no longer work.
* The surprising role of tension in any decision to buy (or not).
* How marketing is at its core about the stories we tell ourselves about our social status.
You can do work that matters for people who care. This book shows you the way.
6. Google Analytics: Understanding Visitor Behavior
Description
Do you know what people do when they visit your website or web app? Or how much the site contributes to your bottom line? Google Analytics keeps track and makes it easy for you to learn precisely what's happening. This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to Google Analytics or have been using it for years.
Google Analytics shows you how to track different market segments and analyze conversion rates, and reveals advanced techniques such as marketing-campaign tracking, a valuable feature that most people overlook. And this practical book not only provides complete code samples for web developers, it also explains the concepts behind the code to marketers, managers, and others on your team.
- Discover exactly how the Google Analytics system works
- Learn how to configure the system to measure data most relevant to your business goals
- Track online marketing activities, including cost-per-click ads, email, and internal campaigns
- Track events -- rather than page views -- on sites with features such as maps, embedded video, and widgets
- Configure Google Analytics to track enterprise data, including multiple domains
- Use advanced techniques such as custom variables and CRM integration
7. Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS (Wiley and SAS Business Series)
Description
The long-awaited, comprehensive guide to practical credit risk modelingCredit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics.
SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models.
- Understand the general concepts of credit risk management
- Validate and stress-test existing models
- Access working examples based on both real and simulated data
- Learn useful code for implementing and validating models in SAS
Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
8. Consumer Neuroscience (The MIT Press)
Description
Contrary to the assumptions of economists, consumers are not always rational actors who make decisions in their own best interests. The new field of behavioral economics draws on the insights of psychology to study non-rational decision making. The newer field of consumer neuroscience draws on the findings, tools, and techniques of neuroscience to understand how consumers make judgments and decisions. This book is the first comprehensive treatment of consumer neuroscience, suitable for classroom use or as a reference for business and marketing practitioners.
After an overview of the field, the text offers the background on the brain and physiological systems necessary for understanding how they work in the context of decision making and reviews the sensory and perceptual mechanisms that govern our perception and experience. Chapters by experts in the field investigate tools for studying the brain, including fMRI, EEG, eye-tracking, and biometrics, and their possible use in marketing. The book examines the relation of attention, memory, and emotion to consumer behavior; cognitive factors in decision making; and the brain's reward system. It describes how consumers develop implicit associations with a brand, perceptions of pricing, and how consumer neuroscience can encourage healthy behaviors. Finally, the book considers ethical issues raised by the application of neuroscience tools to marketing.
ContributorsFabio Babiloni, Davide Baldo, David Brandt, Moran Cerf, Yuping Chen, Patrizia Cherubino, Kimberly Rose Clark, William A. Cunningham, Maria C. Cordero, Manuel Garcia-Garcia, Ming Hsu, Ana Iorga, Philip Kotler, Carl Marci, Kai-MarkusMller, Ingrid L. C. Nieuwenhuis, Hirak Parikh, Dante M. Pirouz, Neal J. Roese, Irit Shapira-Lichter, Daniela Somarriba, Brendan Murray, Julia Trabulsi, Arianna Trettel, Giovanni Vecchiato, Sarah Walker
9. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Feature
WileyDescription
"Mesmerizing & fascinating..." The Seattle Post-Intelligencer
"TheFreakonomicsof big data." Stein Kretsinger, founding executive of Advertising.com
Award-winning | Used by over 30 universities | Translated into 12 languages
An introduction for everyone. In this rich, fascinating surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a how to for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world's most potent, flourishing unnaturalresource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine.Big dataembodies an extraordinary wealth of experience from which to learn.
Predictive analytics(aka machine learning)unleashes the power of data. With this technology,the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
In this lucid, captivating introduction now in its Revised and Updated edition former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
- What type of mortgage risk Chase Bank predicted before the recession.
- Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.
- Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.
- Five reasons why organizations predict death including one health insurance company.
- How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual.
- Why the NSA wants all your data: machine learning supercomputers to fight terrorism.
- How IBM's Watson computer usedpredictive modelingto answer questions and beat the human champs on TV'sJeopardy!
- How companies ascertain untold, private truths how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.
- How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.
- 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more.
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it or consumed by it get a handle on the power ofPredictive Analytics.
