Data-Driven Personalization: How to Use Consumer Insights to Generate Customer Loyalty

Your customers expect highly personalized experiences. Discover exactly how to deliver by collecting the right data and crafting messages that tap into behavioral psychology.

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Bibliographische Detailangaben
1. Verfasser: Hou, Zontee (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: London Kogan Page, Limited 2024
Ausgabe:1st ed.
Schlagworte:
Zusammenfassung:Your customers expect highly personalized experiences. Discover exactly how to deliver by collecting the right data and crafting messages that tap into behavioral psychology.
Cover -- Contents -- List of Figures -- About the Author -- Introduction -- 01 The Case for Data-Driven Personalization -- Why Now is the Time to Improve How Your Marketing Team Uses Data -- Why Personalization Matters -- Customer Expectations Around Personalization -- Our Opportunity and the Impact of Personalization -- Resources Related to this Chapter -- Chapter 1 Summary -- PART ONE Understanding Your Customers -- 02 Starting With the Right Audiences -- Recognizing the Right Customers -- Keeping the Right Customers -- Going From Segmentation to Personalization -- Resources Related to this Chapter -- Chapter 2 Summary -- 03 Researching and Segmenting Your Audiences -- Building a Robust Picture of Your Customers -- Customer Segments That Inform Our Data Collection -- Resources Related to this Chapter -- Chapter 3 Summary -- 04 Gaining Insights When Your Resources Are Limited -- Leveraging Third-Party Research -- Capitalizing on AI and Large Language Models -- Testing With Live Customers -- Resources Related to this Chapter -- Chapter 4 Summary -- PART TWO Building the Toolkit for Personalization -- 05 Preparing for Personalization: The Strategy Behind the Data -- Working With Limited Cognitive Bandwidth -- Crafting Persuasive Messages Like Aristotle -- Aligning Audience Needs With Data Collection -- Resources Related to this Chapter -- Chapter 5 Summary -- 06 Setting Up Data Systems for Today and Tomorrow -- Start With Your Foundation: Unify Your Data -- Invest in Data Quality -- Leverage AI and Machine Learning -- Identify and Interface With New Behaviors -- Resources Related to this Chapter -- Chapter 6 Summary -- 07 Mapping Multi-Faceted Customer Journeys -- What a Customer Journey Map Is-and Isn't -- Rightsizing Your Customer Journey Maps -- Adding Dimension to Your Customer Journey Maps -- Resources Related to this Chapter.
Beschreibung:Description based on publisher supplied metadata and other sources
Beschreibung:259 Seiten
ISBN:9781398614604
9781398614628

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