You also need to build data on what sort of leads came from which campaign​s so you make increasingly​ infomed decisions every time you launch a new one.

Wesley Branaman , I'm curious as to why you would wanna gather this data and purpose.

There was a big period of distress in the market that occurred since then that would skew the data trend.

@Michael Henry great data on the Waukesha county, you are probably right about the percentage drop for SFR near multifamily, The home was listed for about 15% less than comparable home in 4 block surrounding and I paid 6% less than asking price so in total ~18% less than normal home and the owner is fixing about 2000$ worth of stuff. 

All the data says that it's not feasible. 4) The most straightforward path to success is to find someone that has done what you want and copy them. 

It's a combination of machine learning, crazy algorithms, and big data, to create a one-of-a-kind appraisal and credit report.

That has also driven up my expenses too on these two particular complexes. 

So if you listed it last year for $1000 and now want to re-rent for $1200 prospective tenants looking at your listing can see that you raised rents by $200.BTW, you can also do this same thing on houses that were previously listed but taken off the market, it keeps the data there, you cant search by resently rented but you can just click on arbitrary houses until you find one that was previously rented by seeing it under price history.

I am interested if anyone in the property management business has successfully used any of the new "receivable advance" financing groups out there like Fundbox - Kabbage etc.I have used Fundbox with my online marketing/data management company to help onboard larger corporate clients that want me to upfront fund their Adwords spend.  

The computation of the percentage allocation or split is generally done by using square footage, acreage, or some other methodology that is defensible should you be audited.