Customer Experience Analytics - Couverture souple

Arikan, Akin

 
9781032370767: Customer Experience Analytics

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781032370774: Customer Experience Analytics

Edition présentée

ISBN 10 :  1032370777 ISBN 13 :  9781032370774
Editeur : Routledge, 2023
Couverture rigide