Customer Analytics For Dummies (eBook)
336 Seiten
John Wiley & Sons (Verlag)
978-1-118-93762-4 (ISBN)
Ensuring your customers are having positive experiences with
your company at all levels, including initial brand awareness and
loyalty, is crucial to the success of your business. Customer
Analytics For Dummies shows you how to measure each stage of
the customer journey and use the right analytics to understand
customer behavior and make key business decisions.
Customer Analytics For Dummies gets you up to speed on
what you should be testing. You'll also find current information on
how to leverage A/B testing, social media's role in the
post-purchasing analytics, usability metrics, prediction and
statistics, and much more to effectively manage the customer
experience. Written by a highly visible expert in the area of
customer analytics, this guide will have you up and running on
putting customer analytics into practice at your own business in no
time.
* Shows you what to measure, how to measure, and ways to
interpret the data
* Provides real-world customer analytics examples from companies
such as Wikipedia, PayPal, and Walmart
* Explains how to use customer analytics to make smarter business
decisions that generate more loyal customers
* Offers easy-to-digest information on understanding each stage
of 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.
Jeff Sauro is a Six-Sigma trained statistical analyst and pioneer in quantifying the customer experience. He writes a weekly column at measuringu.com and has been an invited speaker at Fortune 500 companies, industry conferences, and as an expert witness.
Introduction 1
Part I: Getting Started with Customer Analytics 5
Chapter 1: Introducing Customer Analytics 7
Chapter 2: Embracing the Science and Art of Metrics 15
Chapter 3: Planning a Customer Analytics Initiative 31
Part II: Identifying Your Customers 41
Chapter 4: Segmenting Customers 43
Chapter 5: Creating Customer Personas 61
Chapter 6: Determining Customer Lifetime Value 75
Part III: Analytics for the Customer Journey 85
Chapter 7: Mapping the Customer Journey 87
Chapter 8: Determining Brand Awareness and Attitudes 103
Chapter 9: Measuring Customer Attitudes 113
Chapter 10: Quantifying the Consideration and Purchase Phases 133
Chapter 11: Tracking Post-Purchase Behavior 151
Chapter 12: Measuring Customer Loyalty 163
Part IV: Analytics for Product Development 185
Chapter 13: Developing Products That Customers Want 187
Chapter 14: Gaining Insights through a Usability Study 207
Chapter 15: Measuring Findability and Navigation 231
Chapter 16: Considering the Ethics of Customer Analytics 249
Part V: The Part of Tens 255
Chapter 17: Ten Customer Metrics You Should Collect 257
Chapter 18: Ten Methods to Improve the Customer Experience 263
Chapter 19: Ten Common Analytic Mistakes 267
Chapter 20: Ten Methods for Identifying Customer Needs 271
Appendix: Predicting with Customer Analytics 277
Index 311
| Erscheint lt. Verlag | 16.1.2015 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Technik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| Schlagworte | Data Analysis • Datenanalyse • Statistics • Statistik |
| ISBN-10 | 1-118-93762-7 / 1118937627 |
| ISBN-13 | 978-1-118-93762-4 / 9781118937624 |
| Haben Sie eine Frage zum Produkt? |
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