Looking forward to hearing different perspectives.Strong take — and honestly, this needs to be said more often.Cold calling doesn’t just test beginners, it conditions them.And most of the time, it conditions them to associate real estate with rejection, frustration, and noise — not progress.Early momentum isn’t a “soft” thing.

All in all, if i want this type of data, i will use Rankbreeze over it.Interesting. 

Third party websites that non-licensed wholesalers use to run comps, will not have the most accurate data as a result of this.

They already understand tenant-in-place deals, realistic returns, and the operational side, so there’s far less friction.A few things that have helped:• Create a private investor list/program specifically for off-market or “tenant in place” opportunities• Put together a very detailed pro forma using real management data rental history expenses turnover assumptions maintenance trends etc• Set expectations upfront that showings are limited and typically only after an accepted or near-accepted offer due to tenant logistics• Offer portfolio or management incentives for buyers who take on multiple properties or keep management in place• Cross-market directly to owners already under management before going publicThe right investor values the existing cash flow and stability and understands the constraints that come with occupied properties.

Uhaul's data puts Oregon at about 50% coming in 50% going out.

What was your experience like in terms of communication, accuracy of the data, and the condition of the property compared to what was presented?

On your deal analysis, do stress tests. 

Also as a fellow data person - the spreadsheet breaking point is real.

Not sure if that is accurate, but that is what it showed with the data I entered.

I have all my ai's running in "lab" setting's and as support "staff" positions; analysis, underwriting, scrapping data, signal analysis.