DiscoverHBR On StrategyHow to Build a Dynamic-Pricing Strategy That Works
How to Build a Dynamic-Pricing Strategy That Works

How to Build a Dynamic-Pricing Strategy That Works

Update: 2024-08-142
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More and more companies are turning to pricing algorithms to maximize profits. But many are unaware of a big downside.


Marco Bertini, a marketing professor at Esade Business School in Barcelona, says constant price shifts can actually hurt the perception of your brand and its products. He warns that employing AI and machine learning without considering human psychology can damage your relationship with customers.


In this episode, he outlines steps you can take to avoid these pitfalls, including some basic guardrails, overrides, and communication tactics. He also shares real-world examples of companies that are using dynamic pricing to smooth demand and provide better customer experiences.

Key episode topics include: strategy, pricing strategy, algorithms, psychology, customer experience, communication, dynamic pricing, brand, AI, machine learning, profits.

HBR On Strategy curates the best case studies and conversations with the world’s top business and management experts, to help you unlock new ways of doing business. New episodes every week.

· Listen to the full HBR IdeaCast episode: Algorithms Won’t Solve All Your Pricing Problems (2021)

· Find more episodes of HBR IdeaCast

· Discover 100 years of Harvard Business Review articles, case studies, podcasts, and more at HBR.org

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How to Build a Dynamic-Pricing Strategy That Works

How to Build a Dynamic-Pricing Strategy That Works