PRICE INTELLIGENCE: HOW TO USE DATA TO OPTIMIZE YOUR PRICING STRATEGY FOR BUSINESS LEADERS.

PRICE INTELLIGENCE: HOW TO USE DATA TO OPTIMIZE YOUR PRICING STRATEGY FOR BUSINESS LEADERS.

by Kunal Miind
PRICE INTELLIGENCE: HOW TO USE DATA TO OPTIMIZE YOUR PRICING STRATEGY FOR BUSINESS LEADERS.

PRICE INTELLIGENCE: HOW TO USE DATA TO OPTIMIZE YOUR PRICING STRATEGY FOR BUSINESS LEADERS.

by Kunal Miind

eBook

$119.00 

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Overview

In "Pricing Intelligence: How to Use Data to Optimize Your Pricing Strategy for Business Leaders," entrepreneur and technology expert, Kunal Miind explores how businesses can use data to optimize their pricing strategies. This book covers everything from the power of price intelligence, understanding customers, and competitive pricing analysis, to dynamic pricing strategies and best practices for pricing strategy optimization. Written for business leaders looking to stay competitive, this comprehensive guide is a must-read for anyone looking to make better pricing decisions.

Whether you're a small business owner or a corporate executive, this book is a must-read for anyone looking to make better pricing decisions and stay competitive in today's rapidly changing business landscape.



Author: KUNAL MIIND (kunalmiind.com)

Published by BAKER & MCGILL (bakermcgill.com.au)

Product Details

BN ID: 2940185601327
Publisher: Baker & McGill
Publication date: 08/03/2021
Sold by: Barnes & Noble
Format: eBook
File size: 390 KB

About the Author

Kunal Miind is an engineer and serial entrepreneur who is regarded as a leading expert in A.I and Machine Learning technologies, as well as Blockchain technology.

He is the founder and lead engineer at Vedametric Australia, a top-tier software development agency. Vedametric operates in the Computer Software industry and has 89 employees.

Kunal is also known for his early stage investments in Spreets, Qoop, Wevolver, Vedametric and King Kong Digital, and is known for buying, building, and selling multiple businesses.

Website: kunalmiind.com

Instagram: @kunalmiind
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