Police can't chase down every suspicious lead from people untrained to categorize a person with mental health issues as violent or not.

I was curious to see if other agents tracked their conversion rates for online leads and what their strategies are.I use a few different lead sources and I categorize my leads into 3 separate groups.RFS - This would be for a buyer calling or emailing requesting to see a specific house.  

But they do understand the variables (the last sale deed type, and $ amount of the last sale, local housing plans/initiatives ect) that actually DO contribute to being able to predict housing prices.Here's a recent prime example of a solid approach to comps https://towardsdatascience.com/predicting-house-prices-with-linear-regression-4fc427cb1002She goes on to say 'this data set contained over 20 categorical features' which is kind of a joke.

Sounds a bit robotic to categorize human beings in this fashion but I'd think in a business built on networking it is never a bad thing to be over-organized to aide memory.

It would be categorized as personal property tax and taxed through TCAD or WCAD depending on which county the home is in.

Investing in real estate is categorically different than investing in stocks/bonds and other customary financial planning tools.It is buying a small business.

Past behavior is an indicator of future behavior, so I would categorize anyone with bankruptcy or housing court on their background as higher risk. 

What you're describing would generally be categorized as improvements and capitalized, not expensed. 

Based on that categorize it accordingly. 

It categorizes expenses by property and category.