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Price: Maximizing Customer Loyalty through Personalized Pricing

by Cactus Raazi
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Current price ₹1,131.00
Original price ₹1,564.00
Original price ₹1,564.00
Original price ₹1,564.00
(-28%)
₹1,131.00
Current price ₹1,131.00

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Book cover type: Paperback
  • ISBN13: 9781544506111
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Lioncrest Publishing
  • Publisher Imprint: Lioncrest Publishing
  • Publication Date:
  • Pages: 174
  • Original Price: USD 16.99
  • Language: English
  • Edition: N/A
  • Item Weight: 227 grams
  • BISAC Subject(s): Sales & Selling / General and Sales & Selling / Management

Price is the primary feature of every transaction-so why is it often treated as an afterthought? Most companies use pricing approaches developed before the internet, failing to harness modern analytics. Your customer relationships vary widely; shouldn't each customer's loyalty to your product or service be reflected in their price?


In this age of increasing price transparency, uniform pricing is no longer sufficient. The best way forward is to create personalized pricing for your loyal customers and resist the constant discounting pressure of internet price aggregation.



In Price, Cactus Raazi invites you to shake loose of your pricing preconceptions. Whether you're a corporate executive or a sole proprietor, you'll see how personalized pricing can improve customer loyalty and turn episodic transactions into recurring revenue. With price transparency and aggressive discounting here to stay, now is the time to refocus your pricing approach on your individual customer.

Raazi, Cactus: - Cactus Raazi is the founder of Elefant Inc., a startup building smarter marketplaces through AI-powered pricing. He leads a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than three decades in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah.

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