Wholesaling is a reputation business. Your cash buyers will evaluate your deals based on how accurate your numbers have been in the past. One inflated ARV doesn't just lose you one assignment fee — it damages the relationship that was going to generate a dozen future fees.
Most buyer relationships don't end with a dramatic confrontation. They just go quiet. You send a deal, the buyer runs their own numbers, finds the ARV is off by $25,000, and stops replying to your emails. You never find out why.
Here are the five comp mistakes that cause this, and exactly how to fix each one.
Mistake 1: Using listings instead of sold data
The most common mistake, especially among newer wholesalers: pulling comps from active listings instead of completed sales.
Active listings represent asking prices. They reflect seller optimism, market timing, and individual positioning — not what buyers are actually willing to pay. In a normal market, the average home sells for 96-99% of list price. In a cooling market, the gap between listing and sold is larger.
If you're building your ARV on what sellers are asking, your number will consistently be above market. Cash buyers who are disciplined about this will immediately see the gap when they run their own comps.
The fix: Filter exclusively for sold status. In MLS systems, "sold" or "closed" means a transaction completed. In public data sources, look for recorded deeds. If a property is listed at $230,000 and hasn't sold yet, it does not belong in your comp set.
Mistake 2: Pulling comps that are too far away
Distance matters in a way that pure data doesn't capture. A sale one mile away might be in a different school district, a different flood zone, a different neighborhood with different buyer demographics and price expectations. Even 0.4 miles can be meaningfully different in some markets.
New wholesalers often pull comps from too wide a radius because they "look similar" on a photo. Experienced buyers know their markets intimately. When they see a comp from across a major road, they know immediately that it doesn't belong.
The fix: Default to half a mile for suburban and urban markets. When you expand beyond that because the market is thin, note it explicitly and make sure the expanded comps are genuinely similar market areas. If you're putting comps from across a highway in your analysis, explain why — or don't include them.
Mistake 3: Using as-is sales for an ARV calculation
ARV is the after-repair value — what the property will sell for once fixed up. To estimate that, you need comps that sold in renovated condition. If you're including estate sales, distressed sales, or properties sold in below-average condition, you're estimating something different than ARV.
The practical consequence: your ARV comes in lower than it should be. You underprice deals and leave money on the table — or your buyer questions why the property can't be acquired for what your ARV supports.
The less common but more dangerous version: accidentally including distressed sales thinking they're renovated comps. The tell is a significantly below-average sale price. Always ask what condition the comp sold in.
The fix: For ARV, filter for comps that sold in retail-ready condition — move-in ready at minimum, renovated kitchen and baths ideally. You can identify these from listing photos (available on Zillow even for sold properties) or from agent comments in MLS.
Mistake 4: Ignoring size and age gaps
A 1,100 square foot house doesn't comp cleanly to a 1,800 square foot house. The buyers are different, the renovation cost structure is different, and the price per square foot in the data doesn't necessarily transfer.
Age gaps matter similarly. A 1960 ranch in a neighborhood of 2000-era construction isn't trading at the same price-per-sqft as the newer houses. Older properties have different deferred maintenance profiles, different renovation costs, and sometimes different buyer pools.
Many wholesalers eyeball these differences and move on. Experienced buyers do the adjustment math. When your ARV is built on a comp that's 35% larger than your subject with no size adjustment, the buyer will either adjust your number down or walk.
The fix: Stay within 20% on square footage. When you can't, apply an explicit size adjustment using median PSF × the square footage difference. Note age gaps in your comp selection. If all your qualifying comps are significantly different in size or age from your subject, find better comps or note the limitation.
Mistake 5: No paper trail with the deal
You can have perfect comps and still have a buyer who won't move fast because they don't trust your analysis without seeing the evidence. In competitive markets, the deals that close fastest are the ones where the buyer can verify the numbers in 10 minutes.
If your deal package says "ARV: $225,000" with no comp detail, every buyer has to do the research themselves before they'll make a decision. That delay costs you assignments.
The fix: Include your comps with every deal you send. Address, sale price, sold date, beds/baths/sqft, and distance. Send 3-5 comps. You don't need a formatted report — even a list in the deal email works. When buyers can check your math in 2 minutes, you close faster and build a reputation for honest analysis.
The compounding reputation effect
Get these five things right consistently and your relationship with cash buyers changes. They start acting on your deals without doing a full reanalysis, because they've verified your numbers enough times to trust them. They call you when they're looking for deals, not just when you send them one. They introduce you to other buyers.
Get them wrong consistently and you become background noise — another wholesaler sending inflated deals to a list.
Underwritey pulls comps automatically, filters by location and recency first, and shows the full comp detail in a shareable buyer package. Your buyers see the evidence behind the number. Start your first deal →