Marketing Strategy: Based on First Principles and Data Analytics - Softcover

Palmatier, Robert W.; Sridhar, Shrihari

 
9781352011463: Marketing Strategy: Based on First Principles and Data Analytics

Inhaltsangabe

Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates.

Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies.

New to this Edition:
- Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies
- Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion
- Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments
- Vibrant visual presentation with a new full colour design

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/marketing-strategy-2e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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Über die Autorinnen und Autoren

Robert W. Palmatier is Professor of Marketing, and John C. Narver Chair of Business Administration at the University of Washington, USA.

Shrihari Sridhar is Professor of Marketing, holder of the Joe Foster '56 Chair in Business Leadership, and Research Director of the Sales Leadership Institute at Texas A&M University.

Von der hinteren Coverseite

Faced with ever more competitive marketplaces, businesses today need to be finely attuned to their customers, anticipating their changing needs and responding with agility. 

Drawing on cutting-edge research and industry best practice, Marketing Strategy articulates an elegant and practical customer-centric framework that helps you to develop, implement, and evaluate successful real-world marketing strategies.

Key features:

  • Unique Four Principles framework offers a structured approach to manage modern marketing and its challenges
  • Integration of cutting-edge data analytics allows you to make effective data-driven decisions
  • World-renowned and globally-connected authors with a wealth of academic and practitioner experience
  • Flexible options to use alongside interactive market simulation software

Thoroughly revised and up-to-date, this new edition offers:

  • Fresh insights from cutting-edge academic research and recent industry developments
  • Expanded range of examples, covering over 250 diverse companies from 25 countries 
  • Analysis of emerging marketing strategies including influencer marketing, digital marketing and social media strategies
  • A vibrant new design and enhanced pedagogy for a dynamic learning experience 
  • New in-class exercises and worked Data Analytic Technique examples, allowing you to develop your own skills
  • Added hands-on learning features, including seven new unsolved analytics-driven case exercises
  • Extensive online resources including additional cases and enhanced data sets, now compatible with both R and SAS


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