Data-Driven Marketing Strategy: How to apply data to achieve measurable results - Couverture souple

Miller, Kamila

 
9781398623637: Data-Driven Marketing Strategy: How to apply data to achieve measurable results

Synopsis

The comprehensive undergraduate guide to designing creative, data-driven marketing strategies. Data-Driven Marketing Strategy gives upper-level undergraduate students a comprehensive framework for turning marketing data into creative, evidence-based strategies that deliver measurable impact. Written by Kamila Miller, it helps students move beyond understanding metrics to interpreting insights and applying them to real marketing challenges. Designed to support both classroom learning and independent study, this textbook aligns with undergraduate modules in Marketing Strategy and Data-Driven Marketing. It includes: - Frameworks for applying data to every stage of marketing strategy - Guidance for creating personas and segmentation models - Best-practice tips for leveraging data and technology for best outcomes, practical exercises, key learning points and real-world examples including Pepsi, Netflix and HubSpot - Insights on digital marketing trends, AI, and customer experience - Online resources including lecturer slides Whether studying marketing strategy or preparing for a data-driven career, Data-Driven Marketing Strategy equips students with the tools, insight and creativity to design strategies that perform.

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À propos de l'auteur

Kamila Miller is a Lecturer at Henley Business School, UK, teaching Sales and Marketing, Consumer Behaviour and Digital Marketing. She also lectures at Oxford Brookes University on Marketing in a Digital World. Miller is also a CIM member and Communication Ambassador, actively organizing and participating in events.

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

9781398623866: Data-driven Marketing Strategy: How to Apply Data to Achieve Measurable Results

Edition présentée

ISBN 10 :  1398623865 ISBN 13 :  9781398623866
Editeur : Kogan Page Ltd, 2026
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