Share
Marketing Analytics: Essential Tools for Data-Driven Decisions (Darden Business Series)
Paul W. Farris
(Author)
·
Rajkumar Venkatesan
(Author)
·
Ronald T. Wilcox
(Author)
·
University of Virginia Press
· Hardcover
Marketing Analytics: Essential Tools for Data-Driven Decisions (Darden Business Series) - Venkatesan, Rajkumar ; Farris, Paul W. ; Wilcox, Ronald T.
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, July 22 and
Monday, July 29.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Marketing Analytics: Essential Tools for Data-Driven Decisions (Darden Business Series)"
The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one's product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.