Jeff Otto, CMO at Riskified, shares findings from their survey on refund and loyalty programs in retail, emphasizing the impact on bottom lines. They discuss the issues of abuse in these programs and the importance of accurate data for order evaluation. The podcast also explores risk assessment in retail transactions and the future of personalized retail experiences through AI-driven identity engines.
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Quick takeaways
Retail leaders need to find the right balance between generous customer policies and profitability.
Leveraging data and AI technology is crucial for proactively addressing abuse and protecting business profitability in the retail sector.
Deep dives
The Policy Dilemma: Balancing Generous Customer Policies and Business Profitability
The podcast episode explores the challenges faced by merchants in balancing generous customer policies, such as refund and return policies, with maintaining profitability. The podcast highlights that while offering delightful customer experiences and generous policies is important for building loyalty, merchants also face significant financial impact and abuse from certain customers. The survey conducted by Riskified on 300 global merchants reveals that around 90% of respondents acknowledge the importance of offering generous policies, but also express concerns about the cost and abuse associated with these policies. The episode emphasizes the need for retail leaders to carefully manage customer policies and find the right balance that fosters loyalty without compromising profitability.
Abuse Patterns and Strategies
The podcast discusses the different types of abuse patterns and strategies that merchants encounter in their business. These include item not received claims, reseller abuse, and promotion or loyalty program abuse. The episode presents examples of these abuses, such as customers claiming they did not receive an item when they actually did or taking advantage of deep discounts to create multiple accounts. Reseller abuse involves individuals purchasing products at promotional prices and reselling them at higher prices. The podcast highlights the financial impact and challenges these abusive behaviors pose to merchants.
The Role of Data and AI in Addressing Abuse
The podcast emphasizes the value of data and AI in tackling abuse issues faced by merchants. It discusses the importance of accurately resolving the identity of customers to build trust and deliver personalized experiences. Leveraging AI-powered identity resolution engines and analyzing historical data, including fraud data, enables merchants to detect and fire bad actors, as well as identify patterns and behaviors associated with abuse. The episode also mentions the use of AI-driven tools, such as policy protect and dispute resolve, for automating the chargeback dispute process and supporting evidence-based decisions. Overall, the podcast underscores the significance of leveraging data and AI technology to proactively address abuse and protect business profitability in the retail sector.
Today’s guest is Jeff Otto, Chief Marketing Officer at Riskified, a publicly traded SaaS company that specializes in fraud and chargeback prevention. In conversation with Emerj CEO and Head of Research Daniel Faggella, Jeff shares findings from Riskified’s new survey of 300 merchants from around the world on their customer policies, including refunds and loyalty programs. The survey sheds light on what refund policies and CX strategies mean for bottom lines across the retail and eCommerce sectors. Later, the pair discusses these problems from a data perspective and the growing importance of retail leaders being able to verify as much customer information as they can. This episode is sponsored by Riskified. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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