CASA DE CAR DESIGNS LLC

Flipper active in Savannah, GA. 4 acquisitions, $554,900 tracked volume, $138,725 average price, latest observed Apr 2023.

Savannah, GAflipperorganization
25% cash2 observed lenders$138,725 avgLatest Apr 2023

Investor profile snapshot

CASA DE CAR DESIGNS LLC is a flipper real estate investor active in Savannah, GA with 4 recorded acquisitions totaling approximately $554,900. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in April 2023, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $138,725, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior, regular cash buying, and frequent private-lender financing within the recorded deed activity.

Observed window
February 2022 to April 2023

Roughly 14 months of recorded buying activity

Latest recorded purchase
April 2023

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Transaction Summary

4
Transactions
4
Properties
$554,900
Total Volume
$138,725
Average Price

Property Types

Single Family ResidentialObserved type
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Financing Signal

Recorded mortgage data links this profile to 2 observed lenders. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

Sample observed lenders

Showing 2 of 2 observed lender relationships.

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Sunnvdale ProductionsSunnydale Productions

Who else does Sunnvdale Productions fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Savannah, GA.

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Frequently asked questions

What type of real estate does CASA DE CAR DESIGNS LLC focus on?

Public records associated with CASA DE CAR DESIGNS LLC show activity in Single Family Residential across Savannah, GA.

How many properties are associated with CASA DE CAR DESIGNS LLC?

Public records show approximately 4 properties and 4 recorded transactions associated with CASA DE CAR DESIGNS LLC in this dataset.

Which lenders has CASA DE CAR DESIGNS LLC worked with?

Recent recorded mortgage activity references Sunnvdale Productions, Sunnydale Productions. Full lender history is available in SFR Analytics.

How recent is CASA DE CAR DESIGNS LLC's activity?

Records show activity from 2022 through 2023, with the most recent observed purchase recorded in April 2023.

Where is CASA DE CAR DESIGNS LLC active?

Recorded activity is concentrated in Savannah, GA, with footprint across 1 state and 1 metro in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.