Testing the customer experience of Amazon's Prime Day

Posted on July 17, 2015
1 min read

Share

Prime Day was Amazon's global shopping event on July 15, 2015, that offered more deals than Black Friday, exclusively for Prime members. We decided to run a study to see how users would respond to Prime Day, and also to see if Amazon's design made sense to them or not. Here are three things we observed:

Observation #1: Lack of relevancy

Users were irritated by the random mashup of deals into big lists, and their inability to filter by categories that were personally relevant to them. Members—who theoretically use the site more often and cultivate wishlists, etc.—tended to be more irritated than non-members.

Observation #2: Unclear page elements

The problem above was amplified by the fact that once they left the big Prime Day lists, it was difficult to tell what did and didn't qualify for Prime Day. Users relied on the wrong page elements to determine if something was part of Prime Day. They either used:

  • The "Prime" icon, which just indicated if the product qualified for Prime 2-day shipping, or
  • The discounted price information in red, which, if it was a steep discount, indicated to users that it must be part of Prime Day

Observation #3: Social proof in action

Although users didn't respond particularly well to the Prime Day clock, the "% claimed" indicators, and the "Deal Over" information, many of them admitted that the "% claimed" indicator could influence their purchasing decision. Many users reported that they'd be less likely to purchase something with low % claimed (because it meant it was a bad deal), or they'd be more likely to purchase something with a high % claimed (because the deal must be incredible).

 

In this Article

    Read more

    • UserTesting research reveals how World Cup hydration breaks captured fan attention—and why traditional advertising struggled to keep viewers engaged.

      Blog

      The World Cup’s hydration breaks revealed where attention really went

      The most valuable advertising moments of the 2026 World Cup may have arrived when...
    • Learn why successful AI in UX research starts with clear goals, measurable outcomes, and disciplined experimentation—not just a “pile of vibes.”

      Blog

      AI experiments need more than a pile of vibes

      AI has made it remarkably easy to try something new, and remarkably easy to...
    • Discover why AI UX research should eliminate busy work—not human judgment—and how researchers can deliver greater business impact with AI.

      Blog

      AI won't replace great UX researchers

      The biggest risk of artificial intelligence in UX research isn't that it will replace...