In this episode Matt sits down with data expert Preston Pope from strIQ. Preston discusses the development of the new strIQ comps dashboard, designed to enhance revenue estimation for short-term rentals. Frustrated by subpar revenue estimations from standard software, Preston and his team built this tool to refine the process of determining comparable sets (comps) in specific areas, utilizing a variety of data 'recipes' to estimate enhanced revenue projections. The dashboard can slice and dice data based on location, bedroom count, and other factors to help investors make informed decisions. The tool filters out less relevant data like properties with low ratings or insufficient reviews, ensuring the most accurate comps are used. The episode explains how the dashboard analyzes different markets, such as Austin, Texas, showing how different property types and sizes perform. High performing areas within Austin are identified, and the impact of factors like location and amenities on revenue is highlighted. There is also a glimpse into potential AI features of the dashboard, which will provide more in-depth analysis and recommendations based on MLS photos and other data. Preston hints at future updates and beta features, inviting interested users to participate in testing. The episode emphasizes the tool's utility for both property investors and managers, making it easier to optimize listings and maximize revenue.

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