A few more "common sense" steps would be to mark depth, post "at your own risk" signs, put "at your own risk" in listing/guest agreements. 

A common misconception is that real estate properties under $1M have a smaller tax basis and therefore do not benefit from a cost segregation study due to the associated fees.

And with much more in commonality with starting and running say a restaurant. 

There are a couple of others less commonly used. 

Now consider this: all the groups people are spending fortunes to target—foreclosures, absentee owners, probate leads, tax liens—what do they have in common?

But it's YOUR money, and Real Estate, to put it mildly, is a contact sport).Month 5: Deals & Network (15-18 hours/week)Submit first offersAttend 2-3 REI events monthlyBuild social media presenceKey Goal: First offer acceptedMonth 6: Scale & Automate (15-20 hours/week)Delegate initial tasksEstablish morning/evening routinesCreate follow-up systemsKey Goal: Sustainable weekly schedule🚫 Common Pitfalls to Avoid:Overcommitting earlyNeglecting W2 responsibilitiesSkipping system creationTaking on too many mentor calls✅ Success Markers:Consistent daily actionsGrowing networkClear systemsNo work conflictsSteady deal flowMaintained energy levels👉 Action Steps This Week:Audit your current scheduleBlock 2 hours dailyChoose your power hour (morning/evening)Set 30-day milestoneGeneral Comment:  obviously not everyone will follow these suggestions.  

If you are new to the business the most common issue is you're either locking up deals too high or you aren't finding attractive deals.

And I know that a refinance would be the best, and most common, way to go. 

HOWEVER; if you aren't going to use your full last name, then it's important to upload a pic to your profile (which you have) The reason being, when someone has a common name, with an initial and you are trying to @mention them, if you have a list of 5 David R's with the stock icon, it's impossible to know which is the correct one. 

Another common practice for nationally sparse datasets such as tax data is aggregation.