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Find What Deals Are Selling In Any Market

Our Sold Properties analysis shows you exactly what deals are selling in your market. Analyze every detail from beds, baths, price, sq ft and even who bought it.

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https://youtu.be/x8AsAvqmGss

Buy Box, Buyer History and What Sells.

The Sold Properties tool is an auditing and validation system that shows you the exact properties that are selling on market and off market anywhere in the US.
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How It Works

The data updates monthly, so you're always working with fresh market intelligence.
Ready to see what deals you've been missing?
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Step 1

Select your target market (county/city)

Step 2

View the deal breakdown – see every investor transaction from the last 6 months

Step 3

Analyze patterns – which distress signals, property types, and areas produced deals

Step 4

Check your prediction rate – what percentage of actual deals your current targeting would catch

Step 5

Adjust your filters and watch your hit rate soar

The "Why" Behind Sold Properties

Sold Properties is meant to validate the specific list you are pulling is good before you actually load it into the records page for marketing. By using historical data to validate a list, you can ensure that for every small batch of properties you reach out to, there is a deal waiting based on real evidence.
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Validate Your "Buy Box"

The Sold Properties tab is a "crazy" easy way to build a really strong buyer list by seeing exactly who is buying in your market.
Identify Patterns

See the top patterns within an area, including property types, year built, and specific home price ranges.

Identify Distressors

View the exact distress flags attached to sold properties, such as tax delinquency, absentee owners, tired landlords, or vacant properties.

Identify Missed Deals

See which investor transactions were already in your records but were missed, helping you identify if a deal fell off in your sales process.

Find Buyers In Any Market

The Sold Properties tab is a "crazy" easy way to build a really strong buyer list by seeing exactly who is buying in your market.
Verified Sales

See the exact sale prices and transaction history for investor-purchased properties.

Entity Research

Pull the specific LLCs or entities that purchased properties and look up the actual signing members.

Direct Prospecting

Once you find the buyers, you can skip trace them in DataSift and call them directly to see if they are open to joining your buyers list.

AI Data Predicts Deals Anywhere

Our flagship AI data product is designed to give you an unfair advantage by predicting activity before it happens.

Our AI has historically predicted up to 83% of all investor transactions.

Trend Identification: The system defaults to the last six months of data so you can work with a nice trend versus just one month at a time.

Instantly know the amount of deals that will be in the list you download

Proven Results: Real Case Studies

Investors Doing Deals Consistently Every Month
100k+ Plus Working Part Time As A Real Estate Wholesaler
6 Quick Deals From Returned Mail And Deep Dives
Gerald Has Complete Control In His Motivated Seller Marketing
How AJ Got 11 Motivated Seller Leads On Autopilot While Vacationing In Florida
How DataFlik and REISift Changed Their Real Estate Companies Deal Flow And Follow Up
How Girl Buys Houses Went from $50K Debt to 5+ Deals a Month with DataFlik
100K+ Motivated Seller Business From Closing The Leads You Ignored On Purpose
Closing Difficult Long Term Follow Up Deals Immediately After Joining REISift
Consistent $100k+ Motivated Seller Deal Spreads With REISift
Daily Routine Of A Successful Real Estate Investor
Ethical Real Estate Investor Shares His Thoughts On Making Good Money
How Mara Made $1M Wholesaling Motivated Seller Properties This Year
The DataSIFT team want to just hop on here and thank you for the release of SIFTMAP. The not having to go back and forth between PropStream or PropWire and any of these other platforms, just to get basic info is a huge advantage. Saving me an extra couple hundred bucks a month, and that way I can put it towards more direct mail in the system, as well as obviously saving a bunch of hours every week and just focused on revenue generating stuff.

‍

John Ramos

DataSift User

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Highlights

Better Deals.
Better Margins.
The Sift Way!

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