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(Photo by Ascannio on Shutterstock)
In a nutshell
- When eBay sellers take longer to reject an offer, it often means the price was close to what they wanted, but buyers typically misinterpret this delay as a negative signal.
- More experienced sellers make faster decisions and are more likely to accept offers, suggesting they’re less emotionally attached to their items and more focused on completing sales.
- The findings apply beyond online shopping; in job negotiations and diplomatic talks, the time taken to respond to proposals can reveal valuable information about the other party’s true preferences.
VIENNA — When a potential buyer makes an offer on eBay, sellers face a simple choice: accept, reject, or counter. New research reveals that the time taken to make this decision could significantly influence the outcome of the deal.
According to an international team of researchers, including scientists from Ohio State University and UCLA, the study shows that both buyers and sellers take significantly longer to accept unfavorable offers and reject favorable ones. This response time pattern inadvertently reveals private information about how close an offer is to someone’s target price.
“The finding adds a new element to game theory—the scientific study of strategic interactions—by considering not just what people choose, but how quickly they choose it,” explains corresponding author and UCLA psychology professor Ian Krajbich, in a statement.
The study, published in the Proceedings of the National Academy of Sciences, analyzed millions of real-world bargaining interactions on eBay. Researchers examined how people make decisions when they have private information they’d prefer to keep hidden. While traditional economic theory assumes people have preplanned strategies for every situation, the paper suggests most people actually make decisions in the moment.
On eBay, sellers can list items at a fixed price while allowing buyers to make offers. After receiving an offer, sellers can accept, reject, or counter. If rejected, buyers can make another offer, and negotiations continue until they agree on a price or someone walks away. Buyers also have the option to end negotiations by purchasing the item immediately at the listed price.
The results revealed clear patterns in response times. When receiving an offer worth 90% of their asking price, sellers typically responded within 48 minutes. However, when the offer was only 20% of their asking price, they took nearly two hours to respond with an acceptance. For rejections, sellers took about 78 minutes to reject low offers but close to two hours to reject relatively good ones.
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“Take a slow response as a good sign rather than a bad sign,” advises Krajbich. “Don’t get discouraged. Don’t think that the seller is lazy or just dragging you along. Instead, consider that you might have them on the hook.”
Experience plays a significant role in decision-making speed. More experienced sellers responded more quickly and were more willing to accept offers, suggesting that professional sellers approach transactions more efficiently and with less emotional attachment to their items.
One unexpected finding contradicted economic theory. “What’s maybe most surprising in these results is that buyers don’t seem to be using this information as strategically as they should,” notes Krajbich. While slow rejections typically indicate a seller is close to accepting an offer, buyers often misread these signals. “In fact, buyers were more likely to make second offers to sellers who had slapped them down quickly,” he adds.
The researchers used computational models called drift-diffusion models to analyze these decision patterns. These models, which track how people gather evidence before making choices, showed that response times followed predictable patterns based on how close offers were to sellers’ target prices.
Lead author Miruna Cotet, a postdoctoral scholar at Complexity Science Hub Vienna, investigated several possible explanations for why buyers retreat from slow-responding sellers. The team considered whether buyers were switching to other sellers, buying items at full price, or losing interest in impulse purchases. However, none of these explanations fully explained the behavior.
The study delivers clear strategic insights for marketplace participants: sellers may inadvertently drive away potential buyers by responding slowly, while buyers might miss out on good deals by misinterpreting slow responses as negative signals. Perhaps now you’ll think twice next time you’re trying to haggle with your favorite eBay store owner.
Paper Summary
Methodology
Researchers utilized two primary data sources. First, they analyzed about 20% of all eBay bargaining exchanges from May 2012 to June 2013, focusing on items listed under $1,000. Second, they conducted controlled field experiments on eBay between 2020-2023, where research assistants posed as buyers and made systematic offers to sellers, carefully tracking response times and outcomes. The experimental phase involved making over 3,500 offers to hundreds of sellers, with offer amounts ranging from 10-90% of asking prices. To ensure robust results, they focused primarily on collectible trading cards, which offered a relatively standardized market with clear pricing patterns.
The research team created multiple eBay accounts to conduct their experiments, making systematic offers to sellers of collectible cards, including Pokemon and baseball cards. This allowed them to control offer amounts and timing while observing real-world seller responses.
Results
Analysis revealed consistent patterns in both the observational and experimental data. Sellers took approximately 2 hours to accept low offers versus 48 minutes for high offers. Rejection times showed the opposite pattern – about 78 minutes for low offers versus 108 minutes for high offers. More experienced sellers showed faster response times overall and were more likely to accept offers. Contrary to predictions, buyers were less likely to make follow-up offers after slow rejections. The study also found that sellers who took longer to reject initial offers were more likely to accept subsequent offers, suggesting their longer deliberation time indeed signaled greater uncertainty about rejecting.
Limitations
The research focused primarily on eBay transactions under $1,000, so findings may not generalize to higher-stakes negotiations or different contexts. The study also couldn’t fully account for sellers’ multitasking behavior or external factors affecting response times. Additionally, the experimental phase focused mainly on trading cards, which may not represent all types of online transactions. The researchers acknowledge that real-world bargaining often involves more complex factors than their models could capture, including emotional elements and strategic considerations beyond simple accept/reject decisions.
Discussion and Takeaways
This research challenges fundamental assumptions about strategic decision-making, suggesting people rarely have fully formed plans and instead make choices in the moment. The study demonstrates that response times can reveal private information in negotiations, potentially affecting bargaining outcomes. The findings have implications for various strategic interactions, from job negotiations to political dealings. The success of the drift-diffusion model in explaining these decisions suggests that similar cognitive processes might underlie many types of human decision-making, from rapid perceptual choices to lengthy strategic deliberations.
Funding and Disclosures
The research was supported by the National Science Foundation (award #2333979). The authors declared no competing interests. The study received approval from the Ohio State University Institutional Review Board.
Publication Information
Published in Proceedings of the National Academy of Sciences, February 2025, Vol. 122, No. 7, e2410956122. Authors: Miruna Cotet, Wenjia Joyce Zhao, and Ian Krajbich from The Ohio State University, University of Warwick, and University of California, Los Angeles. This open-access article is distributed under Creative Commons Attribution License 4.0.