For the first time ever, CES 2023 participants, exhibitors and journalists will be able to explore some of the greatest failures of the last 50 years. The Gallery of Flops will be open to everyone attending CES in Las Vegas between Jan 5-8, 2023.
The Gallery of Flops is a new exhibit by Prelaunch.com that collects massive unexpected flops from brands like Apple, Harley Davidson, BIC, Sony, Nike, Nintendo and many more!
For more pictures follow the link.
Products such as the Apple Pippin and the Rejuvenique Face Mask are among those featured at CES 2023 in the Gallery of Flops. The Rejuvenique Face Mask was a facial toning device that used electrical stimulation to restore youthful looks, but it was declared unsafe by the FDA and later disappeared from the market. The Apple Pippin was a video game console released by Apple in the 1990s that was expected to sell 0.5 million units per year, but it turned out to be a total flop due to its high price and the lack of games to play on it. Both of these products were massive unexpected flops that cost their brands millions of dollars and could have been avoided if proper market and price validation had been conducted before launching. For more information about these and other flops please follow the link.
CES 2023 was the ideal location to debut this gallery, as it has become synonymous with huge product launches and offers a good representation of the larger global consumer electronics ecosystem. Every year, thousands of start-ups are launched in that ecosystem and almost 90% of them fail in the long run. This means that only 1 in 10 businesses in the startup category ultimately survive.
The Gallery of Flops was a fun byproduct of analyzing the reason why some product launches are successful and why others fail. It’s just one result of building the world’s first product validation platform based on real customers’ buying intent. While developing their product validation platform, the team at Prelaunch.com spent the past 4 years helping product creators validate their concepts. They gathered significant current and historic data that provides creators with insights and predicts their future successes or failures. And one thing was clear: ideas need to be validated before resources are wasted developing them and trying to force them into a market that isn't interested. When you consider that these brands that are "too big to fail" can launch flops, smaller brands are similarly likely to suffer from a high probability of failure.
Prelaunch.com allows creators to predict whether customers would buy their product, with over 80% accuracy! It evaluates market demand and defines the pricing strategy by analyzing conversion metrics and comparing them with a growing dataset of industry averages. And it uses this data to show products’ real potential, credibly predicting any product’s launch success and helping creators to avoid wasting time and resources on unexpected failures.
This process forms the central concept of Prelaunch.com's latest ad The Shower Thought. In it, we follow a creator who is struck by a "wonderful" idea in the shower, through all the stages of product development and launching, until the unlucky conclusion where no one wants to buy his product.
Some of Prelaunch.com’s core benefits for product creators include:
Over 1,000 creators have validated their products successfully using Prelaunch.com over the past 4 years.
“Based on my decades-long experience with thousands of startups, I’ve noticed one clear pattern that accompanies the majority of those that failed — no data-driven decisions during the prelaunch stage,” says CEO Narek Vardanyan. “Our team at Prelauch.com decided to address this issue by developing an all-in-one platform to help founders identify the real potential of their product before making investments.”
About the Company
Prelaunch Inc. is a US-based company that has already supported hundreds of creators to test their product market demand on the idea stage with more than 80% accuracy and to understand product-market fit and price with proven metrics based on customer purchase intent.
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