So here is what I do:1 - Get buyer criteria for what they are looking for (exact criteria)2 - Go source that criteria using data provider3 - Scrub the list and plan a marketing campaign around it (i.e) > Direct Mail > Cold Call > SMS > Online Ads > Social Media, etc4 - Once I get inbound leads coming in.

In todays environment of back to historically normal interest rates and higher home values - now really is not a great time to buy.

@Bijan SabbaghiYou don’t that’s the challenge - we pull data from several places as a note holder and for example and currently we see less than 20% actually going to foreclosure as most are ending in bankruptcy right now due to borrowers equityThe ones that are under water are typically going back to the bank.Best bet is to find properties where deceased or maybe divorced to get higher chance of actually going to foreclosure

Similarly, the markets with the best initial cash flow typically have poor historical appreciation and rent growth.

so I guess if you compare to that..but you have a huge amount of folks that think the ONLY good investment is if its positive cash flow day one... now I agree with that in certain areas and or certain assets.. if they won't appreciate then of course you need positive cash flow to make sense of it.. but if you in areas that historically go up... then whats 100 a month going to do for the average person living in the bay area.. 

If anything, we're now seeing data that suggests there isnt much reason for rates to drop significantly any time soon.

By understanding historical patterns and market trends, we can navigate through down periods and position ourselves for growth.

**I understand this data will vary market to market, I'm just looking for ballparks here.

Common issues include incomplete data (e.g., missing property taxes or HOA fees), unreliable rent estimates, and the time-consuming process of manually calculating metrics like cash flow or ROI.Platform Preference: A web-based platform would work well for in-depth analysis, but a mobile app would be crucial for on-the-go research and quick evaluations, especially when touring properties.Wish-List Features: A tool that integrates local market data (rental demand, appreciation rates, or vacancy rates) and offers scenario modeling (e.g., "What happens if I increase rents by 10%?")

Additional Details:The property is in a desirable area with good amenities nearby.STR data from AirDNA shows decent revenue potential, but the lack of comps makes me hesitant.I’m looking for a balanced approach that minimizes risk, even if STR performance doesn’t hit expectations.If anyone has experience investing in Cincinnati or navigating markets where STR data is sparse, I’d love to hear your thoughts.