Whether you have your own analytics platform or integrate a third-party tool-like Fullstory, Mixpanel, or Heap-you should look closely at what separates converted users from the pack. Start with patterns in your user analytics data And once you find a high correlation, you can make calculated adjustments to nudge more users towards those aha-inducing behaviors. You need to make use of the data you already have-in particular, your user analytics and user feedback.īy doing so, you can find out which set of actions or behaviors correlate to that value discovery. It can be hard to pinpoint the exact moment where you get new users to say “aha!” if you don’t have an idea of where to start looking.
It also often separates the users who stick around from those who churn.
Either way, the aha moment is the switch that turns an evaluating user into an activated user. Sometimes users actively realize this moment, while others experience it more subconsciously. That moment things click-when a user realizes that they can truly benefit from your app-is their aha moment. They usually have some idea of what this value will be-and if your marketing and messaging are effective, they’ll already understand your core value proposition before even trying your product. When a user first subscribes to your product, they’re looking to find value in it by solving an immediate need. In the example above, a new user might even experience multiple aha moments as the value of the product really sinks in.
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