ECHO PROPERTIES LLC

Flipper active in Dothan, AL. 12 acquisitions, $1.16M tracked volume, $96,955 average price, latest observed Jan 2026.

Dothan, ALflipperorganization
75% cash2 observed lenders$96,955 avgLatest Jan 2026

Investor profile snapshot

ECHO PROPERTIES LLC is a flipper real estate investor active in Dothan, AL with 12 recorded acquisitions totaling approximately $1,163,461. Recorded purchases span 6 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in January 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $96,955, which reads as entry-level to lower-middle price points. Behavioral signals point to a noticeable resale or short-hold component, cash-heavy execution, and periodic private-lender usage within the recorded deed activity.

Observed window
March 2022 to January 2026

About 4 years of observed acquisition activity

Latest recorded purchase
January 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 6 metros

Spread across several metros inside the same state footprint

Strategy read
Cash-heavy

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

12
Transactions
12
Properties
$1.16M
Total Volume
$96,955
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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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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2lo LLCMerchants Ne LLC

Who else does 2lo LLC fund?

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

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Frequently asked questions

What type of real estate does ECHO PROPERTIES LLC focus on?

Public records associated with ECHO PROPERTIES LLC show activity in Single Family Residential, Vacant Land across Dothan, AL.

How many properties are associated with ECHO PROPERTIES LLC?

Public records show approximately 12 properties and 12 recorded transactions associated with ECHO PROPERTIES LLC in this dataset.

Which lenders has ECHO PROPERTIES LLC worked with?

Recent recorded mortgage activity references 2lo LLC, Merchants Ne LLC. Full lender history is available in SFR Analytics.

How recent is ECHO PROPERTIES LLC's activity?

Records show activity from 2022 through 2026, with the most recent observed purchase recorded in January 2026.

Where is ECHO PROPERTIES LLC active?

Recorded activity is concentrated in Dothan, AL, with footprint across 1 state and 6 metros 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.