What Are Investors Paying for Properties in Your Area? How to Find Out

Why Retail Comps Don't Tell the Whole Story

When you analyze a deal, the first number you pull is the ARV — the After Repair Value based on comparable sales of renovated homes. The ARV tells you what the end product is worth. But it says nothing about what the raw material cost.

Think of it this way: if renovated 3-bedroom homes in a neighborhood sell for $250,000, that is useful information. But if you also know that investors in that same neighborhood have been acquiring distressed properties at $140 to $160 per square foot — roughly $150,000 to $175,000 for a 1,100-square- foot home — you now understand the entire transaction cycle, not just the finish line.

The gap between the investor buy price and the ARV is where all the profit lives. For a wholesaler, knowing this gap tells you how much room there is for your assignment fee. For a flipper, it tells you whether a deal pencils after repairs, holding costs, and selling costs. Without the buy-side data, you are working with half the picture.

What Is Investor Price Per Square Foot?

Investor price per square foot is the metric that normalizes investor purchase prices across different property sizes. It answers a simple question: in this market, how much do investors pay per square foot when they acquire distressed properties?

This metric matters for wholesalers because it establishes the ceiling for your offer. If investors in your target area consistently buy at $130 to $150 per square foot, and your subject property is 1,200 square feet, you know the end buyer will pay somewhere between $156,000 and $180,000. Your offer to the seller needs to be below that number by at least your assignment fee.

The investor price per square foot also varies by neighborhood, property condition, and market cycle. In hot markets where flippers compete aggressively, investor $/sq ft creeps closer to retail. In markets with less competition, discounts are steeper. Tracking this metric over time gives you a sense of whether your market is getting more or less competitive.

The Manual Way: County Records and MLS Research

The traditional way to find investor purchase prices is to dig through county records and MLS data. You look for properties that sold twice within a short period — once at a low price (the investor acquisition) and again at a higher price (the renovated sale). The first sale tells you what the investor paid.

To do this manually, you would search your county recorder or assessor website for recent sales, then cross-reference each property against MLS records to see if it was resold within 6 to 12 months. When you find a match, the first sale price is the investor buy price and the second is the ARV. The difference, minus repair and holding costs, is the investor's profit.

This process works, but it is painfully slow. County records are often weeks or months behind actual closings. The interfaces are clunky and vary by county. And cross-referencing each property against MLS data to confirm it was a flip adds another layer of research. For a single neighborhood, you might spend two to three hours to find five or six confirmed investor purchases.

The bigger problem is data staleness. County records reflect when the deed was recorded, not when the sale actually occurred. In some counties, recording lags by 30 to 90 days. By the time you find an investor purchase in the records, the data may already be outdated in a fast-moving market.

How Flip Detection Works

Automated flip detection eliminates the manual research by algorithmically identifying investor purchases from transaction data. The logic is straightforward: find properties that were bought and resold within a short time period at a significant markup.

The detection algorithm looks for two signals. First, a property that changed hands twice within 12 months — this indicates a buy-renovate-sell cycle rather than a traditional owner-occupant purchase. Second, the resale price must be at least 30 percent higher than the purchase price. This threshold filters out normal market appreciation and focuses on properties where substantial renovation occurred.

When the algorithm identifies a flip, it records both the acquisition price and the resale price. The acquisition price represents what an investor actually paid for a distressed property in that area. Aggregate enough of these data points and you get a clear picture of the investor price per square foot in any given neighborhood.

The progressive search radius is important. The algorithm starts narrow — within half a mile of the subject property — because hyperlocal data is most relevant. If it cannot find enough confirmed flips in that radius, it expands to one mile, then two miles. It also relaxes the bedroom and bathroom match if needed, expanding by plus or minus one bed or bath. This ensures you always get data, even in areas with sparse flip activity.

Using Investor Data to Set Your Offer Price

Once you know what investors are paying in your target area, you can work backward to set your offer price. The math is simple: the spread between the ARV and the investor buy price must cover repairs, the investor's profit, and your assignment fee (if wholesaling).

For example, if investors in a neighborhood are acquiring 3-bedroom homes at around $150 per square foot and the subject property is 1,200 square feet, investors will pay roughly $180,000. If you want a $12,000 assignment fee, your offer to the seller should be around $168,000 or below.

This approach is more grounded than the traditional MAO formula because it uses actual investor transaction data from your specific market instead of a theoretical percentage of ARV. The 70 percent rule is a useful starting point, but the real discount investors take varies by market. In some areas, investors buy at 60 percent of ARV. In competitive markets, it may be 75 percent. The investor activity data tells you what the actual number is.

You can also use investor price data to validate your MAO calculations. If your MAO formula says the maximum allowable offer is $170,000 but investor activity data shows that flippers in the area are consistently buying at $155,000, your MAO may be too aggressive. Conversely, if investors are paying $185,000, there may be more room than you thought.