A New Google: Building a Habitual Recall for Search and Beyond

A New Google: Building a Habitual Recall for Search and Beyond

When Google first emerged in 2000, it quickly gained popularity among hackers who realized its superiority over search engines like Lycos or Excite. Fast forward to today, and we are witnessing a similar effect. Early adopters are no longer relying on Google as their go-to search engine. This begs the question: how can a new search engine build habitual recall and entice users to choose it over Google?

One approach is to target specific verticals and aim to become the best site for searches within those categories. Whether it is electric product search, travel, or code, focusing on a particular niche allows for a more tailored and specialized search experience. By providing superior results and a seamless user interface, a new search engine can attract users who are seeking more specific information within these verticals.

However, simply offering a great search experience may not be enough to create habitual recall. To truly differentiate from Google, new search engines should consider becoming a destination for something beyond search. This is where the concept of community comes into play. By fostering a sense of belonging and creating a platform for users to connect and engage with each other, a search engine can become more than just a tool for finding information. It can become a community-driven platform that keeps users coming back for more.

Now, let's shift our focus to the concept of product market fit (PMF). PMF refers to the point at which a product is good enough to start shifting focus from product improvement to growing distribution channels. One of the most important metrics for determining PMF is cohort retention rate. This metric measures how well a product retains its users over time.

The cohort retention rate is a crucial indicator of PMF because it signifies that the product is not only attracting users but also keeping them engaged. In other words, it demonstrates that users find enough value in the product to continue using it. As you improve your product, newer cohorts should have high cohort retention rates, indicating that your efforts are paying off.

To track your progress towards achieving PMF, it is essential to create a cohort retention "triangle" chart. This chart visually represents the retention rates of different cohorts over time. Ideally, you want to see a few cohorts that level off at a specific number, indicating that you have achieved product market fit. It is also helpful to benchmark your retention rates against similar products that have experienced significant growth. This will give you a better understanding of what retention rates to aim for in your specific industry.

A good rule of thumb for consumer products is to aim for a cohort retention rate of at least 25%. This means that 25% of users from a specific cohort are still actively using the product after a certain period of time. For B2B SaaS products, a cohort retention rate of 70% is considered a good floor. These retention rates not only demonstrate the stickiness of your product but also amplify your acquisition efforts. Users who stay with your product are more likely to recommend it to others, leading to organic growth through word of mouth.

To actively measure your cohort retention rate, use a "triangle" cohort retention chart. This chart allows you to track the retention rates of different cohorts over time and identify any trends or patterns. By regularly monitoring your cohort retention rate, you can make informed decisions about product improvements and growth strategies.

In conclusion, building a new search engine that can compete with Google requires more than just offering a superior search experience. It requires building habitual recall and becoming a destination for users. By focusing on specific verticals and incorporating community elements, a new search engine can differentiate itself from Google and attract a loyal user base.

Additionally, achieving product market fit is crucial for sustainable growth. Cohort retention rate is a key metric to determine PMF, and it should be actively measured and tracked using a cohort retention chart. By aiming for benchmark retention rates and continuously improving your product, you can amplify your acquisition efforts and create a product that users love.

Three actionable advice to take away from this article are:

1. Identify a specific vertical or niche to focus on and provide a superior search experience within that category.
2. Foster a sense of community and create a platform for users to connect and engage with each other.
3. Actively measure and track your cohort retention rate using a cohort retention chart to gauge your progress towards achieving product market fit.

With these strategies in mind, a new search engine can position itself as a viable alternative to Google and build a loyal user base that keeps coming back for more. Remember, come for search, stay for something else.