Step 1 β Define Your Area π
Start by selecting your target area. You can choose:
County
ZIP code
Subdivision
Polygon (custom area)
In this example, Teller County, Colorado is selected, and the platform auto-suggests the correct market.
For subdivisions, a dropdown menu displays every subdivision within the selected county. You may also draw a polygon to target a specific portion of the area.
Step 2 β Define the Acreage Range π
Set your minimum and maximum acreage.
Example: 5 to 40 acres.
Blue bubbles will populate in real time, showing the total data count and where the parcels are clustered.
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Step 3 β Set Maximum Improvement Percentage ποΈ
This is based on the county-assessed value of improvements.
Example: Setting 10% Max Improvement will allow small improvements like barns, cabins, or minor structures while filtering out heavily improved properties.
Step 4 β Use the City Limits Filter ποΈ
Choose one of the following:
Within City Limits
Without City Limits (fewer restrictions, useful for hyper-rural land)
Include Everything (used in this example)
Step 5 β Zoning and Land Use (Optional) πΊοΈ
You may filter by local zoning codes or land use. In this example, these are left blank.
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Step 6 β AI Scrubbing Filters (Land Insights Exclusive) π€
AI Scrubbing removes parcels that typically waste time and marketing dollars.
Vacant Land AI Filter β Removes properties with buildings, even if not registered at the county level.
Bad Slope Filter
Automated quick scrub for non-buildable or hard-to-sell land
Advanced slope scrubbing (ex: limit to 30% of land under 20% slope)
HOA Parcels β Removes properties inside HOAs
AI Landlock Scrub β Removes land without legal access (recommended to keep ON)
Max Wetlands & Flood Zone Coverage β Set a percentage limit (ex: 30%)
Road Frontage Scrub β Minimum frontage requirement (ex: 200 ft). You may also filter by highways, normal roads, or local roads
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Step 7 β Owner Filters π€
Duplicate Owners β Keep only one parcel per owner (We recommends the larger parcel)
Out of State / Out of County / Out of ZIP Owners β Out-of-ZIP owners often show the strongest balance of motivation and volume
Exclude Corporate Owners β Trusts, LLCs, and entities
Only Inner Family Transfer β Targets inherited land
Tax Delinquent Owners β Toggle on if desired
Ownership Length β Minimum or maximum months (60+ months is a common motivation benchmark)
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Step 8 β Include & Exclude Keywords π
Keywords come from names on the title.
Include Keywords β Only include owners with specific names (ex: βStarbucksβ)
Exclude Keywords β Remove waste by excluding municipalities and government entities (ex: βHospital,β βLLC,β βWalmart,β)
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Step 9 β County Assessor Data π²
You may filter by:
Total Value: The county assessor's assessment of what the property is worth, which can be used to sort by the county's perceived market value.
Land Value
Improvement Value
Market Total Value
Market Land Value / Market Improvement Value
Tax Delinquent Time Frame: Filter for properties that are tax delinquent within a specific time frame (e.g., 5, 6, 7, or 1 year).
Step 10 β Sale Info (Previous Sale) π
Filter by:
Sales Price: Set a minimum and maximum range of what the owner paid. This is useful because owners are often more open to selling when they can still make a profit.
Sale Price Type: Filter by how the price was recorded, such as full amount stated, non-arms-length transactions, or transfer tax values.
Last Sale Date: Target properties based on when they were last sold.
Sellerβs Name: Filter by a specific seller if you are tracking properties from a known entity.
Transaction Deed Type: Sort by the type of deed used in the previous sale (for example, Administratorβs Deed, Bargain and Sale Deed, or Quitclaim Deed), which can sometimes indicate different motivation levels.
Step 11 β Open Lien Filters π¦
Filter by:
Mortgage Amount β Target properties based on loan size.
Mortgage Recording Date β Filter by when the loan was recorded.
Financing Type β Sort by adjustable rate, fixed rate, or variable mortgages, which may impact owner motivation based on current interest rates.
Mortgage Type β Filter by the actual loan instrument used.
Interest Rate β Target properties with specific interest rates, which is especially useful for subject-to strategies.
Step 12 β Structure Filters π
Filter by total structure square footage and structure count.
The speaker typically caps structures at 700 sq ft to avoid house-priced underwriting.
Step 13 β Skip Tracing Options π
Skip trace your data at export in the same CSV file.
You can choose from the following options:
No Skip Tracing β Only exports property and ownership data.
Standard Skip Tracing β Adds basic, verified phone numbers to your export.
Premium Skip Tracing β Provides the most complete and accurate contact data available.
Using skip tracing at export allows you to move directly into cold calling or cold texting campaigns without reformatting or uploading data into another service.
Step 14 β Miscellaneous Export Options βοΈ
Include Parcel KML β Visualize parcels in Google Earth
AI Market Value Estimate β Included for Pro and Starter users at no additional cost
Step 15 β Final Export Steps β
Click Export
Review total parcels (ex: 56 parcels)
Zoom in to view highlighted parcels (purple outline)
Click Purchase Now
Click Purchase to complete the export
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Here are some next steps for you:
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