What's Happening?
Dr. Dan McCarthy, a Professor of Marketing at the University of Maryland, has conducted research into subscription loyalty programs like DashPass, Uber One, and Instacart+. His findings indicate that while these programs are designed to offer savings,
over 50% of consumers do not actually save money. McCarthy's analysis, which he terms the 'antagonistic diagonal,' suggests a trade-off where if the consumer wins, the firm tends to lose, and vice versa. He notes that these three-sided marketplaces often have a low contribution margin, around 3% on a typical grocery order, making it difficult for both consumers and firms to consistently benefit. The research highlights that average consumer savings are positive, but this is heavily skewed by a small group of heavy buyers, a pattern also observed in mobile gaming and gambling where a few high-value customers drive the overall average.
Why It's Important?
This research is important for U.S. consumers and businesses as it sheds light on the actual efficacy of popular subscription loyalty programs. For consumers, it challenges the perception that these programs universally lead to savings, urging a more critical evaluation of their personal usage and benefits. Many consumers may be paying monthly fees without realizing a net financial gain, leading to unnecessary expenditures. For businesses, McCarthy's findings suggest that the current structure of many subscription programs may not be sustainable for broad customer satisfaction or long-term profitability. It underscores the need for companies to re-evaluate their loyalty program models to ensure they provide tangible value to a wider segment of their customer base, rather than relying on a small percentage of heavy users. The insights also highlight the potential for AI agents to empower consumers by easily calculating actual savings and prompting cancellations, which could significantly impact subscription-based business models.
What's Next?
The insights from Dr. McCarthy's research suggest a future where consumers, potentially aided by AI agents, will become more discerning about their subscription loyalty programs. McCarthy's paper identifies a simple rule for subscribers: cancel when cumulative fees exceed savings. He believes AI agents will make this rule easy to enforce, allowing consumers to quickly identify and cancel underperforming subscriptions. This shift could force companies to innovate and create more genuinely beneficial loyalty programs to retain customers. Businesses may need to move away from models that rely on customer inertia and instead focus on delivering clear, consistent value. The increasing autonomy of AI agents in managing personal finances could lead to a significant re-evaluation of subscription economics across various industries.
Beyond the Headlines
The deeper implication of Dr. McCarthy's research lies in the evolving dynamic between consumers and corporations, particularly with the rise of AI. The ability of AI agents to analyze personal spending and subscription benefits could fundamentally alter consumer behavior, shifting power from companies that rely on complex pricing and customer inertia to more informed and empowered consumers. This development raises ethical questions about transparency in loyalty programs and the responsibility of companies to clearly communicate actual value. Furthermore, the research touches on the 'dark side' of high-value customers, particularly in industries like gambling, where maximizing revenue can inadvertently target individuals with potentially negative life impacts. This highlights a broader societal concern about how data analytics and loyalty models are used, and whether they prioritize profit over consumer well-being. The increasing visibility of unit economics, both to companies and consumers via AI, could trigger a long-term shift towards more equitable and transparent business practices.
