I love all of the great ideas on here so far. Something that would benefit the data geeks would be to identify the inefficiencies within a given market through the lifecycle of real estate. A starting point would look something like the following.
First outline the process.
Identify market
corelogic; Uhaul data; census data; Airbnb Data; Zillow data zestimate vs rent rate; Houses on market, consumptions rate, etc
Output: what market has potential inefficiencies or unforeseen growth
Identify neighborhoods
school ratings; public transportation; crime spot data; HOA quality; proximity to major employer and average wages; opportunity zones; historic appreciation; historic average rental rates; etc
Output: what is currently working the area and what are BP members doing there as well as unforeseen growth
Identify strategies that are best for the given areas
short term; long term; BRRRR; arbitrage; etc
Output: which strategy is more efficient or applicable from user input
Identify realtors/wholesale/etc
highlight most active realtors/wholesale companies
Output: connect with and understand local market
Funding types
based off the price and type of units what is available and who offers the funding; BP member input on successful previous funding deals
Contracts
current trends in the area to close the deal from in the local market
Management
highlight local management for long term or short term; contact info for Core four, inner and outer circle. Picture below
When to execute exit strageties or refi options
BP member input to identify potential options in the given area
Basically how do we take these models, consolidate all the quantifiable data and subjective data from BP members to identify opportunities.
