One strategy is to leverage the appreciation here to buy elsewhere.Right now the data is showing continued appreciation in the LA area.

We would now like to refinance the unit based on Income valuation methodology. 

I've actually driven by a few of these on daily commutes.

Can you pull data on what competition is doing with/without each option?

Hey @Chris Mendoza go to their website, click on blog, and then scroll down and they have 2020 and 2019 data for the Blue Ridge markets (as well as many others).

If your data research is strictly around the city of St.

In my experience the basics for a functional RE based CRM are:Custom Fields for Data Objects (Leads, Prospects, Applications, Buildings, Units, etc...)A Screening Engine (background/credit checks, employment verification, etc)Online Rental Application (this should automatically run the application through screening)Ability to mass email/sms leads and tenants to provide informationSurveys/Inspection formsI've been building real estate CRM tools for years.

Additionally, I’m unclear on how their ARV analysis is conducted since most properties can be found on Redfin or Zillow — does it involve an in-person visit, or is it purely data-driven using comps and suggested repairs?

There has been significant growth, especially with tech giants like Intel, Meta, Amazon, and Google setting up operations (2 data centers), driving up property prices and job opportunities.

The data from Airbnb and local realtors show that there is a huge demand for rentals due to people from New York City looking for places to escape within a 2.5 hour drive from Manhattan.