E-Commerce Sites Adjust Prices Based on Your Clicks
A social media thread explains how e-commerce platforms like Shopee use customer behavior to personalize prices dynamically. Factors like search frequency and cart abandonment are used as signals of purchase intent, with platforms showing higher prices to users who seem eager to buy. The thread also shares hacks for mimicking low-intent behavior to trigger discounts.
This practice, sometimes called "surveillance pricing," has historical roots in pre-industrial markets where haggling was common. The invention of the price tag in the 1870s standardized prices for efficiency, a model that held for over a century until e-commerce enabled a high-tech return to variable pricing. Amazon is a key example of dynamic pricing at scale, with its algorithms adjusting the prices of millions of items multiple times a day. Some prices on the platform can change as frequently as every 10 minutes, reacting to a host of real-time data signals. The data powering these price shifts is extensive, including competitor pricing, inventory levels, product demand, and even the time of day or season. Algorithms also analyze customer-specific data like browsing history, past purchases, and what device is being used to predict an individual's willingness to pay. A distinction exists between dynamic pricing, which adjusts to broad market conditions, and personalized pricing, which tailors a price to a specific individual. The latter is more controversial and faces greater scrutiny from regulators and consumer advocates. While dynamic pricing is not explicitly illegal, it is governed by consumer protection laws that prohibit unfair or misleading practices. Regulations like the UK's Digital Markets, Competition and Consumers Act of 2024 specifically target practices like "drip pricing," where charges are added late in the checkout process. High-profile instances have brought the practice under public scrutiny. Ticketmaster faced backlash for its use of dynamic pricing during the 2024 Oasis reunion tour ticket sales, which saw prices surge dramatically based on real-time demand.
