Mixpanel users often treat properties as strings, but the platform also supports other data types like numbers, dates, and lists, which can enhance data analysis. Numbers can be utilized to create histograms and segments for more detailed insights into user behavior, such as song lengths, while also allowing for mathematical calculations like average, sum, minimum, and maximum. If Mixpanel does not recognize a numeric property correctly, users can manually type cast it. Dates can be used to filter and segment events based on time-related criteria, with Mixpanel accepting various date formats and allowing segmentation based on date logic. Lists enable multiple values for a property, such as mood tags or product purchases, and can be queried for individual items within the Segmentation report. These features provide a robust way to analyze and segment data beyond simple text strings, enhancing the ability to derive meaningful insights from user interactions.