For contact management like that its awesome to search for specific types of people and locations or just data like "how long does it take to foreclose in texas".We have some other use cases as well that we use to track not only ours but competitors results online and learning what does and does not work for different aspects of the business.

The other tip I would say is really get a good relationship going with a realtor in the area if you do not have one to give you the exact data you are looking for to be successful.

My goal is to build a data-driven tool that provides actionable insights into which neighborhoods and property types are in the highest demand, based on metrics like:Time on market: How quickly rentals are being leased.Property characteristics: Bedrooms, bathrooms, size, and amenities.Pricing trends: Rental rates relative to market demand and property features.Visual quality: Leveraging property photos to analyze the style and condition of rentals that perform well.The tool will allow users to:Pinpoint areas with the fastest rental turnovers.Understand what types of properties (size, price range, features) rent the quickest.Gain deeper insights into property presentation and amenities that correlate with high demand.Thank you in advance for your feedback.

I'd suggest checking local Airbnb/VRBO data or using AirDNA to see occupancy rates and average nightly rates in the area.

Its pros include streamlined property tracking, access to owner data, automated direct mail campaigns, and team collaboration features.

One metric we do use when we're able to pull the data are permits pulled & what type of permits pulled in an area.

Finally, the data they are using to demonstrate the price hike is WAY out-dated.

Any other major syndication site has restricted sold data so it will be incomplete.

Originally posted by @Lodewijk Hof:Hello,I'm doing my research on Australia real estate market. ll use the data for a brochure, which is part of my strategy to increase investor awareness.I'm wondering if you can help me on the following data:1.

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