You will probably hear more than you could possibly find out by visual inspection from things like what’s buried in the backyard to the fence being propped up by sticks.4.

The thing is, a printer-applied address is a dead give-away that yours is a direct mail piece because the print lays flat on the paper, unlike when you hand-write an address, which gives visual texture.I think too much is made of using yellow legal pad paper. 

ciao Hey  April, 1. all of my free professional time is spent researching, working, educating myself on REI. about 20-25 hours. 2. we are using a handwritten style note on white paper with some kind of corporate branding , check out openlettermarketing .com. for visual examples.

Usually when I close on a house, the insurance company sends out somebody to do a visual inspection.

You need to put a lot of emotion around your WHY and visualize what life will be like for you both, your family, your legacy, etc. 

The best way to develop a solid SOW is this - you start off with what you are visualizing in your head, send drawings, pictures and products that you like.

Most inspections are exterior only so insurance is going off of insured/agent application and any visual cues such as an outdated electrical meter.Also, while it's been difficult to insure these things for many years now it's gotten tighter over the last 5 years in this hard market.

I ran the numbers and made a very easy visual presentation, all of which were options that worked for me.

Has every market (by city or by zip) in SoCal, which is where we fix & flip & build rentals.I'd recommend more drilled-down market stats like the bottom graph for validating your underwritings and making go-no go decisions, but it's still interesting to visualize & pick-out those super-performant markets.To be fair, I haven't seen something like this either, that's why I built it!

These properties often generated decent revenue but underperformed simply because they didn’t stand out visually.3.Natural Language Processing: They also trained an NLP model to review poorly written Airbnb descriptions.