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E-raamat: Customer Experience Analytics: How Customers Can Better Guide Your Web and App Design Decisions [Taylor & Francis e-raamat]

  • Formaat: 326 pages, 37 Tables, black and white; 15 Line drawings, black and white; 70 Halftones, black and white; 85 Illustrations, black and white
  • Ilmumisaeg: 13-Feb-2023
  • Kirjastus: Routledge
  • ISBN-13: 9781003335191
  • Taylor & Francis e-raamat
  • Hind: 170,80 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 244,00 €
  • Säästad 30%
  • Formaat: 326 pages, 37 Tables, black and white; 15 Line drawings, black and white; 70 Halftones, black and white; 85 Illustrations, black and white
  • Ilmumisaeg: 13-Feb-2023
  • Kirjastus: Routledge
  • ISBN-13: 9781003335191
An unprecedented guide to user experience (UX) analytics, this book closes a mission-critical skill gap and enables business professionals in a digital-first world to make smart, effective, and quick decisions based on experience analytics.

Despite two decades of web metrics, customer experience has largely remained a black box. UX analytics tools help businesses to see themselves and their customers with a new lens, but decision-makers have had to depend on skilled analysts to interpret data from these tools, causing delays and confusion. No more: this book shows a wide range of professionals how to use UX analytics to improve the customer experience and increase revenue, and teaches the C-SUITE method for applying UX analytics to any digital optimization challenge. It provides 50 case studies and 30 cheat sheets to make this a daily reference, and includes ten mindmaps, one for each role discussed, from senior leaders to product managers to e-commerce specialists.

Managers across industries will regularly consult this book to help them guide their teams, and entry- to mid-level professionals in marketing, e-commerce, sales, product management, and more will turn to these pages to improve their websites and apps.
Acknowledgments ix
Foreword xi
Introduction: The Experience Imperative--Experience or Bust! 1(8)
PART I Experience Analytics Essentials for Closing Blindspots and Connecting the Dots
9(96)
1 What Ingredients Make for a Good Experience?
11(11)
2 Where Are the Blindspots in the Traditional Digital Intelligence Ecosystem?
22(17)
3 A Map of Digital Experience Analytics and Metrics
39(56)
3A Experience Analysis
47(24)
3B Automated Experience Insights
71(16)
3C Impact Quantification, Customer Insights, and Segmentation
87(8)
4 Connect the Dots Between Experience and the Digital Intelligence Ecosystem
95(10)
PART II Solve Everyday Business Challenges Faster with Experience Analytics
105(184)
5 Solve Common Challenges at the Top of the Funnel
107(38)
5A Solve Marketing Acquisition Challenges
109(18)
5B Solve Brand Marketing and Content Challenges
127(18)
6 Solve Common Challenges at the Middle of the Funnel
145(35)
6A Solve Ecommerce and Ebusiness Sales Challenges
146(22)
6B Solve Visual Merchandising Challenges
168(12)
7 Solve Common Challenges at the Bottom of the Funnel
180(35)
7A Solve Customer Feedback Management Challenges
181(13)
7B Solve Operations, Triage, and Technical Performance Challenges
194(21)
8 Solve Common Challenges at the Flip Side of the Funnel
215(31)
8A Solve Customer Experience, Service, and Support Challenges
217(13)
8B Solve Customer Marketing Challenges
230(16)
9 Solve Challenges Across the Entire Customer Journey
246(43)
9A Solve Product and UX/CX Challenges
247(19)
9B Solve Conversion Rate Optimization and Analytics Challenges
266(23)
PART III See Into the Future with Experience Analytics
289(25)
10 Target and Personalize Marketing Experiences Based on Digital Body Language
291(14)
11 Extend Experience Analytics to New Channels
305(9)
Table of C-Suites and Case Studies 314(7)
Index 321
Akin Arikan has over 20 years of experience working with customers in the field of digital intelligence and is an award-winning industry speaker, a published author on multichannel marketing, a frequent contributor to magazines, and a blogger. Akin is a director of product at Contentsquare, a popular customer experience analytics and optimization solution, and a guest lecturer on the first-of-its-kind Cross-Channel Management certificate program at the University of St. Gallen.