Open the menu located at the top left of your screen and click on Data Platform to expand the menu. Then click on Map.

Enter the market that you want to export data from. Most land investors generally choose a county to export from. In the example above, we chose Madison County, AL. Since we only want to target Madison County, we left all other filters in the image empty.

If you want to be more specific with your area of focus, you can highlight a particular region by drawing a polygon after clicking Add Zone.

You can also type the name of a subdivision or a zip code to focus on that area directly.

Enter the minimum and maximum acreage of land that you would like to export. Then choose how you would like to filter your city limits.

In this example, we are targeting rural recreational land, so we decided on going after land that is 3-80 acres and outside city limits. We chose outside city limits because larger acreage land outside city limits generally has less restrictions on what you can do on the land.

In this example, Max Improvement Percentage, Zoning Type, and Land Use were left empty since we would like to target all vacant land types. If you want to target specific improvements or zoning, you can utilize these filters to identify those types of properties. Otherwise, leave them empty.

Automatically filter out parcels with characteristics that may reduce desirability or complicate acquisitions.

In this example, we selected all AI Scrub Options.

We only want to target high quality vacant land since land with negative features such as bad slope, no road access, home owner associations (HOA), flood zones, and wetlands can lengthen the time it takes to sell that property. By selecting these AI scrub options, you avoid wasting marketing spend on properties that you would likely never buy due to it's negative features that affect the time to flip your land.

In this example, we entered 50 in Max Wetland Coverage and Max Flood zone Coverage which means we are removing land from our dataset that has more than 50% of it covered in wetlands and flood zones. Land that is covered in wetlands and flood zones can decrease the possibility of building structures on the property which can significantly decrease the value of the property. This filter allows us to increase our odds of building approval by targeting dry land outside wet areas.

If you subdivide land instead of flipping it for profit, you can utilize the Road Frontage Filter by entering a minimum and maximum amount of road frontage you prefer. The greater the road frontage, the more possibilities you have for a subdivision project. In this example, we left Road Frontage empty since we are only flipping land for profit.

The advanced slope scrubbing filter can be used to to target specific slopes on properties in your dataset. Do not adjust this if you already selected Remove Bad Slope Land in the previous section.

In this example, we left it empty since we already selected Remove Bad Slope Land.

Filtering owner characteristics can increase your business profits and likelihood that the owner would sell to you.
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✔️Deduplicate Owners and Keep Larger Parcels
If an owner owns multiple pieces of land in your dataset, this filter only keeps 1 property in your dataset so that you avoid marketing to every property that owner has in your market. We prefer to keep the largest property an owner has.
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✔️Filter by Owner Location (Optional)
In this example, we selected Out of ZIP Owner so that we target buying land from owners who don't live immediately close to the property. This can increase the likelihood that the owner sells to us since they may not be using the property for any reason since they live in a separate location from the property. You can also specifically target only out of state or out of county owners.
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✔️Filter Ownership Length (Optional)
In this example, we targeted owners who have owned the land for 60+ months. This can raise the odds of a landowner being motivated since they've held the land and paid taxes on it for a significant amount of time. This is optional, several land investors do not care about ownership length and will leave this section blank.
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✔️Exclude Keywords
Add common owner names that are unlikely to sell land to you. Owners with these names will be removed from your dataset. In this example, we added keywords like "Walmart," "Cemetery," and "HOA" because it is unlikely these types of owners would sell land to you. We recommend building a large list of keywords to exclude, ensuring you are marketing only to motivated sellers.

The rest of the filters in the image above were left empty since they are used for more advanced targeting strategies. We recommend leaving these blank unless your business relies on those advanced strategies.

In this example, we left all filters empty inside County Assessor, Sale Info, Open Lien, and Structure. These filters are for advanced strategies. We recommend leaving them blank unless you have an advanced strategy.

If your acquisition is strategy is to cold-text or cold-call landowners, select standard skip tracing.

The cost of skip tracing on a Land Insights Pro subscription is 2 cents per hit which means every property we identify a phone numbers for, we will charge you 2 cents. We will not charge you for properties we can't identify phone numbers on. The skip traced phone numbers will be added to your list when you export your dataset from Land Insights. Skip tracing prices are higher for Lite and Starter subscriptions.

Some advanced land investors like to export a KML file in their export. In this example, we did not export the KML.

Land Insights uses local comps to come up with an AI value estimate of each property in your dataset. If you select it, AI Estimate values will be added to your dataset. This can be helpful when coming up with your offer prices.

When you’re ready to export your data, click Export at the bottom of your screen, then select Purchase Now on the following page.

In this example, we were charged 0 credits per record export since we have the Pro unlimited data subscription. Lite, Starter, and Pro plans without unlimited data will all be charged for exporting property record data.

Click Download Clean Parcels and a csv file will be downloaded on your computer. After the csv file is downloaded on your computer, upload it to google sheets or Microsoft excel so that you can prepare your offer prices for each of your properties.
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Once your offers are prepared, you can upload your csv to your CRM, marketing platform, or mailing service so that you can start contacting landowners with offers on their property

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