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In this scenario, one potential solution would be to track new users as part of a cohort. Cohort analysis allows you to track users based on shared characteristics over time. The “new users only” would form one cohort, and after they lose their “new” status, they can be tracked in different cohorts. By setting the time frame when they are considered “new users” (e.g., 30 days), and then following their behavior after this period passes, it becomes much easier to analyze their behavior and evolution over time, even after they cease to be “new users”. It’s powerful because it’ll allow tracking the user’s life cycle and see how their behavior changes as they become more oriented with your product or service. While it may require more time and resources to set up the cohorts and analysis properly, the level of insight offered can help drive decision-making in a more targeted fashion.
