Extent:
Online-Ressource (340 S.)
Illustrationen
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Description based upon print version of record
Title Page; Copyright Page; Contents at a Glance; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I: Getting Started with Customer Analytics; Chapter 1: Introducing Customer Analytics; Defining Customer Analytics; The benefits of customer analytics; Using customer analytics; Compiling Big and Small Data; Chapter 2: Embracing the Science and Art of Metrics; Adding up Quantitative Data; Discrete and continuous data; Levels of data; Variables; Quantifying Qualitative Data
Determining the Sample Size You NeedEstimating a confidence interval; Computing a 95% confidence interval; Determining What Data to Collect; Managing the Right Measure; Chapter 3: Planning a Customer Analytics Initiative; A Customer Analytics Initiative Overview; Defining the Scope and Outcome; Identifying the Metrics, Methods, and Tools; Setting a Budget; Determining the Correct Sample Size; Analyzing and Improving; Controlling the Results; Part II: Identifying Your Customers; Chapter 4: Segmenting Customers; Why Segment Customers; Segmenting by the Five W's; Who; Where; What; When; Why; How
Analyzing the Data to Segment Your CustomersStep 1: Tabulate your data; Step 2: Cross-Tabbing; Step 3: Cluster Analysis; Step 4: Estimate the size of each segment; Step 5. Estimate the value of each segment; Chapter 5: Creating Customer Personas; Recognizing the Importance of Personas; Working with personas; Getting More Personal with Customer Data; Step 1: Collecting the appropriate data; Step 2: Dividing data; Step 3: Identifying and refining personas; Answering Questions with Personas; Chapter 6: Determining Customer Lifetime Value; Why your CLV is important; Applying CLV in Business
Calculating Lifetime ValueEstimating revenue; Calculating the CLV; Identifying profitable customers; Marketing to profitable customers; Part III: Analytics for the Customer Journey; Chapter 7: Mapping the Customer Journey; Working with the Traditional Marketing Funnel; What Is a Customer Journey Map?; Define the Customer Journey; Finding the data; Sketching the journey; Making the map more useful; Chapter 8: Determining Brand Awareness and Attitudes; Measuring Brand Awareness; Unaided awareness; Aided awareness; Measuring product or service knowledge; Measuring Brand Attitude
Identifying brand pillarsChecking brand affinity; Measuring Usage and Intent; Finding out past usage; Measuring future intent; Understanding the Key Drivers of Attitude; Structuring a Brand Assessment Survey; Chapter 9: Measuring Customer Attitudes; Gauging Customer Satisfaction; General satisfaction; Attitude versus satisfaction; Rating Usability with the SUS and SUPR-Q; System Usability Scale (SUS); Standardized User Experience Percentile Rank Questionnaire (SUPR-Q); Measuring task difficulty with SEQ; Scoring Brand Affection; Finding Expectations: Desirability and Luxury; Desirability
Luxury
ISBN: 978-1-118-93759-4 ; 978-1-118-93763-1 ; 978-1-118-93759-4
Classification: Marketing
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10011680636