Quote from @Devin Conley: I think in most markets these days, you are only going to find 1% RTP ratios at the individual (good) deal level.There are definitely some markets where those numbers exist as the norm, but as others in the thread have pointed out, there is probably some other risk to consider in those cases (negative growth, jobs leaving, very small population size, vacancy rates, etc.)For example, if we filter by metro markets with 10%+ growth since 2010, the best typical RTP ratio we see is around ~0.77% Devin - Which website do you pull this data from as you shown in the pic ? 

It is useful early in the process or when data quality is questionable.

Majority are filed by HUD because attorneys don't see the profit in them.You have to prove:1) You didn't break any specific laws2) You didn't indirectly discriminate and treated everyone the sameSo, when an applicant, or a "tester" sent by HUD, files the lawsuit you will need data to show the above.Where do you get that data?

Ryan - I'm biased because I head sales for STR Search, but give John Bianchi's service a look.It's a much more data-driven process than what elefante is serving up. 

Remember the data was from Nov 2021.  

You'll need to go through the, "short-term pain, for long-term gain" exercise of setting all this up and then hiring someone to execute.STEP 1: Pay a really good CPA to outline your Chart of Accounts and processes.STEP 2: Hire & train a Remote Worker to enter all the data, do monthly reconciliations and provide you monthly & quarterly reports.STEP 3: Find someone, maybe the original CPA, to do a quarterly review/audit to catch mistakes, etc.

Just hard to get people to purely look at the data (in my experience).  

I can only base my optimism of breaking even on the information and data supplied, let alone the follow up by Versity. 

Based upon airdna data the revenue potential looks okay on Martin, but not great. 

Sidenote: business analytics, MBA, so also this has been an opportunity to tell the story with data.