., weak trust-account processes, slow ad approvals, unclear authority/access).Compensation models: monthly retainer, per-door supervision fee, rev-share, flat + performance, minimum terms/exit clauses.Ballpark ranges and how they scale with door count.Where you found them: NARPM Triangle chapter, local REALTOR associations, NCREC license/firm search, BP groups, LinkedIn, referrals.Contract must-haves (IC setup): authority, E&O proof, ad-approval SLA, trust-account signatories, data access, transition/exit clauses.  

This information is more for quick saves, gather data about the home you maybe want to see the next weekend, but it does not give you years of data in front of you to source the out price of the home you are looking to sell.

If this place were nice, it would get $2200+/ Maybe, and I am not local, so I can only go by the data and could be wrong.

@Kyle Gagnon - combining data for the state of Alabama is not of value. 

Lockbox Showings: You seem to be biased against these, yet Shomojo and other industry data, show they are increasingly preferred by prospective tenants.

The data in consumer debt, and consumer actions is really freaking me out.

Research neighborhoods with growth potential, such as Journal Square in Jersey City, and use data analytics tools to assess profitability.

FHA, 203k, conventional, hard money) typically used by local investors- The entire acquisition process- and moreMuch of this data can also be found doing independent research.

There is often a range of value that can be supported with market data, but when providing a single point value, they are rarely going to reconcile to either extremes of that range.

Data, comps, and expert insights give us facts.