In real estate, money is made in purchasenot the sale. This means that every dollar you negotiate for the asking price is a dollar straight into your net worth. So you need every tool at your disposal: smart representation, patience, a compelling offer, and yes, even publicly available data that happens to be wrong.
This is not about lies or fabrication. It’s about using the information landscape to your advantage, the same way salespeople and their agents already do.
The graphic that inspired this post
Take a look at the Parcl Labs “Bullish vs. Bearish Housing Markets” chart below. Parcl Labs bills itself as a real-time real estate analytics company. The chart is really useful for spotting trends in markets like Florida and Texas, where the COVID-era boom is fading and supply is still elevated.
But notice the circled dot: SFO. This is San Francisco. According to Parcl Labs, house prices here are falling year on year.
I live in San Francisco. I track dozens of properties. I watch bid dates, over-seeking premiums and offsets as a hobby at this point. Prices in San Francisco are up at least 10% year over year, not down. Properties are going for much more than the asking. The bidding wars are back. The data Parcl Labs is showing the SFO is completely wrong.
And that’s exactly the point.
Two ways to use wrong data as a buyer
There are two ideal times to make publicly available data like this.
The first is before you are in contract. If a property has been on the market, it is likely to be overpriced. Pull out a chart like this, print it out, and respectfully present it as part of your offer narrative. You are not accusing the seller of anything. You’re just telling them what the data says. Even if the data is wrong, it brings doubt, and doubt creates room for negotiation.
The second is after you are in storage. This is the most powerful move. Once a seller accepts your offer, they are emotionally and logistically committed. They’ve told their friends, their family, maybe they’ve already chosen their next country. The last thing they want is for the deal to fall through. Any credible-looking data that suggests the market is softening gives you a reason to go back and ask for a price reduction or credit during the inspection period.
I have bought seven properties over 23 years and sold two. I have seen these dynamics play out firsthand. When we bought our current home, we went under contract in late July and didn’t close until early October. This gave us weeks to inspect, identify issues and negotiate loans. We didn’t catch everythingbut we eliminated the main points.
Fear is a salesperson’s worst enemy
Part of the reason this works is psychological. Salespeople are not immune to fear. In fact, sellers are more afraid of not being able to sell a home than a buyer is of not being able to buy a home.
I sold one of my properties in 2025 in part because the Southern California wildfires scared me. I had four rental properties worth over eight figures, and suddenly I couldn’t stop imagining one of them burning down with a $1.4 million mortgage attached. So I sold. maybe it costs me at least 10% in further profits. Fear is expensive.
As a buyer, you can channel that same fear productively. Show a graph that suggests prices are falling. Throw in some headlines about AI layoffs at Meta, Block, and others. Show that a tech sector correction can put pressure on housing demand. None of this is fabricated, it’s all real noise from real sources. You are simply curating it to a conclusion that helps you.
On a $2 million home in San Francisco, talking to the seller just 1-3% down will save you $20,000 to $60,000. That’s a significant number worth 30 minutes of prep work.
See ALL CAPS and heading used to trade data. Fear sells!
Perception is reality, especially in real estate
The same dynamic that allows savvy buyers to pick up San Francisco real estate at relative value in 2023 during the so-called narrative doom loop is available to you now.
The Internet is full of real estate data that is out of date, compiled incorrectly, or simply miscalibrated to local conditions. You don’t need to create any of them. You just have to know where to look and how to present it.
The greater the gap between perception and reality, the more opportunity there is for a patient, informed buyer.
Related: When advertised square footage is different from public records
Readers, have you ever used publicly available data, whether accurate or not, to negotiate a lower price on a home or large purchase? how did it go Where is the ethical line between the strategic use of publicly available data and defrauding a salesperson? Is there one? What other negotiation tactics have worked for you when buying real estate?
Interested in investing in these beaten markets?
If Sunbelt’s data intrigued you rather than scared you, you’re thinking like an investor. Markets like Texas and Florida are experiencing exactly the kind of price correction and oversupply that historically precedes a rebound. The question is how to get exposure without buying a rental property, dealing with tenants, or flying to San Antonio to kick the tires on a pair.
Here it is Raising funds enters
Fundrise is one of the easiest ways to start dollar cost averaging real estate markets across the country, including the Sunbelt markets that appear in the falling quadrant of that Parcl Labs chart. Instead of going all in on one property in one zip code, you get diversified exposure to dozens of markets and property types, managed by a professional team that does the right thing for you.
You can get started with less than $10. There are no tenants to manage, no unexpected repair bills and no storage drama. Just a steady, automatic investment in real estate at whatever pace works for your budget.
Fundrise is a long-time sponsor of Financial Samurai and Financial Samurai is an investor in Fundrise products. All opinions are my own.
