Case studies

Real deals, including the ones that didn’t work

Three of Wesley’s own flips: one that went the way the spreadsheet said, one where the rehab went fine and the pricing didn’t, and one where a big spread still turned into a loss.

Case 01 · The win

Cumming townhome

Purchase
~$175K
Rehab
~$35K
Sale
~$300K
Timeline
119 days

A modest scope, a purchase price that left room for it, and a short hold. Nothing exotic, which is the point.

Boring deals with a tight scope and a short timeline are the ones that work.

Case 02 · Good rehab, wrong list price

Marietta flip

Purchase
~$335K
Rehab
~3.5 months
First list price
~25% over comps
Sold
~$496K, day 416

The renovation finished on schedule. Then the house sat for months, through four price changes and two contracts that fell apart, and finally sold right where the comps said it would. Every month in between cost interest.

List at the comps, not at your hope. Time on market is a cost.

Case 03 · A big spread that still lost money

Roswell luxury flip

Purchase
~$1.05M
Sale
~$1.475M, day 290
Scope
Cosmetic plan grew
Result
~$60K down at closing

A cosmetic refresh grew into layout changes, new systems and a finished basement. Expensive mid-project financing filled the gap, and the house sold below its appraisal. A $425K spread wasn’t enough.

The spread isn’t the profit. Scope, financing and time decide what’s left.

Full breakdowns are taught inside the membership. Figures rounded; addresses omitted.

Past results don’t predict yours. These are examples of Wesley’s own projects, shared for teaching. They aren’t typical, representative or a promise of any outcome, and they include losses on purpose.

Why show the losses

Because that’s where the lessons are

Most investor marketing only shows the wins. That teaches people to look at a purchase price and a sale price and assume the difference is profit. It isn’t.

In the membership we take these deals apart line by line: what was assumed, what changed, which costs were missed, and what the decision should have been at each point. Then you run the same analysis on listings in your own target area.

See where this is taught

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