Data-driven personalization how to use consumer insights to generate customer loyalty

To break through the noise, marketers today need to be hyper-relevant to their customers. To do that takes data and a deep understanding of your audience. Data-Driven Personalization breaks down the best ways to reach new customers and better engage your best customers. By combining principles of pe...

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Detalles Bibliográficos
Otros Autores: Hou, Zontee, autor (autor)
Formato: Libro
Idioma:Inglés
Publicado: New York : Kogan Page [2024]
Edición:First published
Materias:
Ver en Universidad de Navarra:https://unika.unav.edu/discovery/fulldisplay?docid=alma991011536433208016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es
Descripción
Sumario:To break through the noise, marketers today need to be hyper-relevant to their customers. To do that takes data and a deep understanding of your audience. Data-Driven Personalization breaks down the best ways to reach new customers and better engage your best customers. By combining principles of persuasion, behavioral economics and industry research, this book provides readers with an actionable blueprint for how to implement a customer-centric approach to marketing that will drive results. The book is broken into six parts that detail everything from what data is most valuable for personalization to how to build a data-driven marketing team that's prepared for the next five years and beyond. Each chapter includes actionable insights to guide marketers as they implement a data-driven personalization approach to their strategy. The chapters also focus on hands-on tactics like identifying messages that will move the needle with customers, how to generate seamless omnichannel experiences and how to balance personalization with data privacy. The book features case studies from top brands, including FreshDirect, Target, Adobe, Cisco and Spotify --
Descripción Física:X, 259 páginas . gráficas (blanco y negro) ; 24 cm
Bibliografía:Incluye referencias bibliográficas (páginas [244-254) e índice
ISBN:9781398614604
9781398614628