To further boost occupancy and revenue, consider revisiting a dynamic pricing tool like PriceLabs, as it works best with more time and data to adjust rates competitively.

Quote from @JD Martin: I would have to see actual data on a median & value adjusted basis to believe that OK is anywhere near Fl on a dollar for dollar comparison.

Data can be sorted by property type, lien position, LTV, and even the seller's proximity to the property. 

You can do any strategy you want personally so long as the market data supports a 1:1 under STR, MTR, or LTR income strategies.

. 😉  Lack of investment capital (money) ought never be the obstacle because if the deal is right, the money will always appear.Then, you’ll need great data sources both for identifying opportunities and confirming the facts.

The data plans are reasonable ($50/month) and the service seems like it would be more reliable through storms and outages. 

Also, on an international level SF RE is relatively cheap compared to central London, HK, Manhattan, etc.

When trying to analyse STR I try to use as many data sources as possible, AirDNA, Rabbu, Pricelabs and good old networking, ask around see what other investors are getting for their units. 

There are a few banks in HK that are also located here in the states.

We have a tax accountant and financial planner that needs our data if various formats.