The Unsolved Mystery of Fermat's Last Theorem and the Elusive Nature of Consumer Product Metrics
Hatched by Kazuki Nakayashiki
Aug 25, 2023
4 min read
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The Unsolved Mystery of Fermat's Last Theorem and the Elusive Nature of Consumer Product Metrics
Fermat's Last Theorem, named after the French mathematician Pierre de Fermat, is a mathematical puzzle that has baffled scholars for centuries. In 1637, Fermat wrote in the margin of a book that the equation an + bn = cn has no solutions in positive integers if n is an integer greater than 2. Little did he know that this claim would spark a mathematical quest that would last for the next three and a half centuries.
It wasn't until 30 years after Fermat's death that his claim was discovered. From that point on, mathematicians around the world dedicated their lives to proving or disproving Fermat's Last Theorem. Countless attempts were made, and many claimed to have found a solution, only to be proven wrong. The theorem became a symbol of the unsolved mysteries of the mathematical world.
Similarly, the world of consumer product metrics is filled with its own set of unsolved mysteries. One might assume that if a product has a high signup rate, it would also have a high engagement rate. However, this is often not the case. In fact, a typical product might see 90% of users refuse to sign up, and of the ones who do sign up, over 90% become inactive over time.
Mobile apps, on the other hand, tend to have better engagement metrics but lower upfront conversion rates. This discrepancy can be attributed to the fact that mobile app traffic is usually based on word of mouth. People seek out these apps because they have heard about them and want to give them a try. This pre-existing interest leads to higher signup rates. However, even with higher signup rates, engagement remains low. Often, over 90% of users are not engaged on a daily basis. They either churn or are only active a few days per month.
So, what can be done to improve engagement and frequency? The key is to tie the product into someone's pre-existing behaviors, rather than asking them to do something new. By understanding how users already behave and incorporating those behaviors into the product experience, companies can increase engagement and create a more dynamic user experience.
Another challenge in creating a successful product is the need to fill users' feeds with personalized and engaging content. Shockingly, it has been found that 50% or more of users don't know anyone else in the service. This means that companies must find a way to backfill users' feeds with content from one person or even impersonal content. The task becomes even more daunting when considering the 1% rule, which states that only a small percentage of users will actually create content. This disparity makes it incredibly difficult to create a healthy, dynamic news feed that keeps users coming back for more.
Unfortunately, many products fail to address these challenges effectively. Users either don't sign up in the first place, or if they do, they have a poor experience and quickly disengage. It is a challenging task to strike the right balance and create a product that not only attracts users but also keeps them engaged and satisfied.
In the world of consumer product metrics, success is often measured by daily active users (DAU) divided by monthly active users (MAU). A 30% DAU/MAU ratio is considered good. However, when compared to the likes of WhatsApp, which boasts a 70% DAU/MAU ratio, the difference between good and great becomes evident.
To overcome the challenges of product metrics and create a successful product, there are several actionable pieces of advice to consider:
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Understand user behavior: Take the time to understand how users already behave and incorporate those behaviors into the product experience. By aligning the product with pre-existing behaviors, you can increase engagement and create a more intuitive user experience.
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Personalize the user experience: Recognize that users often don't know anyone else in the service. Backfill their feeds with personalized and engaging content to keep them interested and coming back for more. Strive to create a dynamic news feed that caters to individual preferences.
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Focus on engagement and frequency: Rather than solely focusing on signup rates, prioritize engagement and frequency. Create a product that ties into someone's daily routine or existing habits. By doing so, you can increase the chances of users returning to the product regularly and having a positive experience.
In conclusion, both Fermat's Last Theorem and the challenges of consumer product metrics highlight the elusive nature of unsolved mysteries. While mathematicians continue to search for a proof to Fermat's Last Theorem, product developers strive to find the perfect balance between attracting users and keeping them engaged. By understanding user behavior, personalizing the user experience, and focusing on engagement and frequency, companies can increase their chances of creating a successful product that stands the test of time.
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