Exposing price discrimination in online shopping (Marketplace)

CBC News
24 Nov 201722:26

Summary

TLDRThis video script explores the phenomenon of price discrimination in online retail, where customers are charged different prices for the same product based on their personal data. The script investigates how retailers use cookies and browsing history to tailor prices, and demonstrates through tests that different devices and browsers can yield varying costs for services like hotel bookings and car rentals. The segment also touches on the broader implications of dynamic pricing and the desire for transparency from consumers.

Takeaways

  • 🛒 Online retailers engage in price discrimination, charging different customers different prices for the same product based on personal data.
  • 🔑 Retailers collect data on consumers to understand their needs and desires, using this information to adjust prices strategically.
  • 🤔 Shoppers have mixed feelings about sharing personal information for potentially better prices, with concerns about privacy and data protection.
  • 🍪 Cookies are used by websites to track consumer behavior online, allowing for targeted ads and personalized pricing based on browsing history.
  • 💻 The script demonstrates how different devices and browsers can show different prices for the same product, highlighting the complexity of online pricing.
  • 🌐 Incognito mode can provide different pricing information, potentially free from personalized pricing based on browsing history.
  • 🏨 Price differences were observed in the script for hotel rooms and car rentals on travel sites like Travelocity and Priceline.
  • 📈 The script reveals that prices can vary significantly based on factors like device type, location, and browsing mode (regular vs. incognito).
  • 🗳️ A survey mentioned in the script shows that a majority of Canadians want more transparency from online companies regarding their use of customer data.
  • 🛫 The concept of price discrimination extends beyond retail to services like travel, where different prices are offered based on various factors, including international status.
  • 📊 Price tracking tools can help consumers navigate dynamic pricing strategies by alerting them when prices for desired items drop.

Q & A

  • What is the main topic discussed in the video script?

    -The main topic discussed in the video script is the practice of price discrimination in online retail, where different customers are charged different prices for the same product based on their personal data.

  • What is the purpose of a computer cookie in the context of online shopping?

    -A computer cookie is a small file that websites can place on a user's device to collect certain information as the user surfs the web, allowing the retailer to target the user with ads and potentially adjust prices based on the user's browsing habits and preferences.

  • What is 'steering' in the context of online shopping?

    -Steering refers to the practice where websites display search results in an order that is influenced by the information they have about the user and their spending habits, potentially leading to different users seeing different prices for the same product.

  • What does the term 'incognito' browsing refer to, and how does it relate to the script?

    -Incognito browsing refers to a private mode in web browsers where the user's browsing history, search history, and cookies are not saved. In the script, incognito browsing is used to test whether prices for products like hotel rooms and car rentals differ from those seen in regular browsing sessions.

  • What is the significance of the price differences observed in the script during the hotel room and car rental searches?

    -The significance of the price differences is that they illustrate the concept of price discrimination, where online retailers use data about individual consumers to adjust prices, potentially offering discounts to some and charging more to others based on factors like location, browsing history, and perceived willingness to pay.

  • What does the script suggest about the public's perception of price discrimination in online shopping?

    -The script suggests that the public is concerned about price discrimination, with a majority of Canadians surveyed expressing a desire for more transparency from online companies regarding the collection, use, and sharing of customer data.

  • What explanation does Expedia provide for the price differences observed in the script?

    -Expedia explains that the price differences observed were due to the testers initially visiting the U.S. version of the hotels.com site, which tagged them as U.S. customers. Even when they later visited the Canadian site, the system still viewed them as American, leading to different prices being displayed.

  • What is the role of 'dynamic pricing' in the context of online retail, as mentioned in the script?

    -Dynamic pricing refers to the practice where online retailers constantly adjust the prices of their products based on various factors such as demand, supply, time of day, and customer behavior. This can lead to significant price fluctuations, as illustrated by the example of Amazon changing its prices millions of times a day.

  • What are some strategies suggested in the script for consumers to navigate price discrimination and potentially find better deals?

    -The script suggests using incognito browsing to see if prices are different without the influence of personal browsing history, deleting third-party cookies to reduce targeted pricing, and using price tracking tools to monitor price changes and receive alerts when prices drop.

  • What is the general sentiment of the script's participants towards the practice of price discrimination?

    -The general sentiment of the participants is one of concern and a sense of unfairness, with some expressing the need for more control over their personal data and a desire to be more diligent in finding the best prices using different platforms and technologies.

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相关标签
Online ShoppingPrice DiscriminationPersonal DataRetail TacticsConsumer TipsE-commercePrivacy ConcernsDynamic PricingPrice TrackingIncognito BrowsingMarket TrendsTech Insight
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