It clicks together, so no glue down, and the pattern we used resembles marble with a gray veining. 

Crime patterns, school zones, and tenant demand play a big role.Tenant quality and turnover trends — Certain areas and price points see higher turnover, which can quickly impact cash flow.Older housing stock and maintenance expectations — Many properties require updates or ongoing repairs that out-of-state investors often underestimate.Eviction execution and local process — Mississippi law is generally landlord-friendly, but local knowledge is key to handling issues efficiently.Curious to hear from other Jackson investors.

100% agree — list quality beats volume.From working with different datasets and campaigns, one pattern that keeps showing up is that segmentation by actual seller pain points (not just surface filters) drastically improves connect rates and conversation quality.We’ve also seen that dialing efficiency improves when data is refreshed and cleaned more frequently, even if overall list size is smaller.Curious if you’re seeing similar lift when lists are stacked by motivation vs. single-criteria pulls?

I want to be there in the morning to observe work patterns and daily routines, spend time in a local café or coffee shop to see who actually lives and lingers there, and be present after work to understand how the area transitions in the evening.

This rule is roughly patterned after the ratios used when qualifying for a mortgage.To that end, I employ a SECOND RULE.

Start analyzing 5-10 properties per week even if you're not buying yet - you'll spot patterns in cap rates, rent ratios, and what actually sells vs what sits.

Underwriting must account for course capex, staffing, and weather-driven revenue cycles.Ski HotelsWhat defines them:Ski hotels offer onsite or immediate slope access, positioning the asset directly within the ski experience.Investor considerations:• Premium ADRs during peak winter season• Strong appeal to destination travelers and group bookings• Limited competitive supply due to geographic constraintsKey risks:• Highly seasonal revenue concentrated in winter months• Dependence on snowfall and climate patterns• Capital-intensive infrastructure and maintenanceInvestor takeaway:Ski hotels are high-yield, high-risk assets.

That’s not a small tremor — that’s a meaningful shift for a company that anchors a huge part of our local economy.Layer that on top of UPS announcing up to 30,000 job cuts, and it becomes harder to ignore the pattern.

Quote from @Julien Hill: Over the last 18 months working with mortgage brokers on DSCR deals, I've noticed a pattern with the partnerships that actually work long-term.It comes down to execution fundamentals that protect everyone involved, including the broker's reputation, the investor's timeline, and the deal itself.Consistent execution looks like the below:Response time matters - Initial response within hours, not days.

Then refis, sales, or tax time turn into cleanup projects.A few common patterns I see:• Waiting until year-end to update books• Property manager statements not tying to bank activity• No clear property-level view of cash flowNot here to pitch, just sharing observations and curious if this lines up with others’ experience or if you’ve found systems that work better.