MRP: ₹999
₹833
₹ 166 Off
(Incl. of all taxes)
Qty
Buying in bulk?
In stock
Deliver to
- 7-day returns
- Secure payment
- International shipping
- Carefully packed
Get this at ₹ 791Extra 5% OffAdd items worth ₹999 to the cart & get extra 5% off
Get this at ₹ 750Extra 10% OffAdd items worth ₹1499 to the cart & get extra 10% off
Book Summary
About the Book: Marketing Analytics: 2nd Edition
Marketing Analytics offers students, educators, and practitioners a practical
guide to applying statistical, machine learning, and generative AI models to
marketing decisions. The book serves as a unified reference for key marketing
areas such as branding, product development, pricing, marketing mix, and
customer journey.
It addresses decision-making challenges across several industries, including
CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The
text highlights trade-offs in inference based on industry-specific data, data
limitations, and regulatory norms governing data usage.
The book demonstrates use cases with models built using Microsoft Excel, R, and
Python—three widely used tools in the analytics
- ISBN-13
- 9789373320489
- Language
- English
- Binding
- Paper Back
- Publisher
- Wiley
- Publishing Date
- 2025-12
- Total Pages
- 546
Marketing Analytics: 2nd Edition
Frequently bought together
Total for 3 items₹959₹1139You save ₹180
Product Specifications
Book Summary
About the Book: Marketing Analytics: 2nd Edition
Marketing Analytics offers students, educators, and practitioners a practical
guide to applying statistical, machine learning, and generative AI models to
marketing decisions. The book serves as a unified reference for key marketing
areas such as branding, product development, pricing, marketing mix, and
customer journey.
It addresses decision-making challenges across several industries, including
CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The
text highlights trade-offs in inference based on industry-specific data, data
limitations, and regulatory norms governing data usage.
The book demonstrates use cases with models built using Microsoft Excel, R, and
Python—three widely used tools in the analytics
Book Specifications
- ISBN-13
- 9789373320489
- Language
- English
- Binding
- Paper Back
- Publisher
- Wiley
- Publishing Date
- 2025-12
- Total Pages
- 546