GO AMERICA LLC

Cash-heavy investor in Evansville, IN. 15 acquisitions, $453,792 tracked volume, $30,253 average price, latest observed May 2022.

Evansville, INflipperorganization
100% cashNo observed lender$30,253 avgLatest May 2022

Investor profile snapshot

GO AMERICA LLC is a flipper real estate investor active in Evansville, IN with 15 recorded acquisitions totaling approximately $453,792. Recorded purchases span 10 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in May 2022, 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 $30,253, which reads as entry-level to lower-middle price points. Behavioral signals point to a noticeable resale or short-hold component and cash-heavy execution within the recorded deed activity.

Observed window
January 2022 to May 2022

A relatively short observed acquisition window so far

Latest recorded purchase
May 2022

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

Market footprint
1 state / 10 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

15
Transactions
15
Properties
$453,792
Total Volume
$30,253
Average Price

Property Types

Single Family ResidentialObserved type
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Financing Signal

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
100%
Observed lenders
0

Find cash-heavy borrower prospects in Evansville, IN

No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Evansville, IN.

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Lenders

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Wholesalers & flippers

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Data teams

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Frequently asked questions

What type of real estate does GO AMERICA LLC focus on?

Public records associated with GO AMERICA LLC show activity in Single Family Residential across Evansville, IN.

How many properties are associated with GO AMERICA LLC?

Public records show approximately 15 properties and 15 recorded transactions associated with GO AMERICA LLC in this dataset.

Which lenders has GO AMERICA LLC worked with?

Recorded mortgage data linking GO AMERICA LLC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is GO AMERICA LLC's activity?

Records show activity in 2022, with the most recent observed purchase recorded in May 2022.

Where is GO AMERICA LLC active?

Recorded activity is concentrated in Evansville, IN, with footprint across 1 state and 10 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.