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If you work in land acquisition, development, or investment, you know the drill: the best parcels rarely come with a "for sale" sign. They're found through relationships, county records, driving neighborhoods, and a lot of manual digging. That process works, but it's slow - and in a competitive market, slow can mean losing a deal to someone who found it first.
That's the gap a new wave of land intelligence platforms is trying to close, and Acres is one of the more prominent examples aimed squarely at professional land teams.
What Acres Actually Does
At its core, Acres is a data platform that brings together the pieces of information a land team would otherwise have to chase down separately: parcel records, ownership history, past sales, mortgage data, zoning, and map layers like flood risk or topography. Instead of pulling county assessor records here, a sales comp report there, and a zoning map from somewhere else, it's meant to live in one searchable, map-based interface.
The platform reports a sizeable data footprint - over 150 million parcel records, more than 45 million recorded land transactions, upwards of 25 million mortgages, and thousands of map layers pulled from over 1,000 data sources nationwide. Whether that scale matters to you depends on how much of your work involves markets outside your own backyard, but for teams operating across multiple states or in non-disclosure states (where sale prices aren't publicly recorded), having a single nationwide source is a real convenience.
Where It Fits in the Deal Process
A few areas stand out as the practical use cases for a land prospecting tool like this:
Prospecting and lead generation. Rather than manually researching ownership parcel by parcel, teams can filter by criteria - acreage, zoning, crop type, soil quality, or location boundaries - and generate lists of landowners who match a target profile. That turns "who owns land that fits what we're building" from a weeks-long research project into a filtered search.
Comparable sales and valuation. Land valuation is notoriously hard when good sales data is scattered or locked behind paywalls in different counties. Having nationwide sales data with sale-specific context helps teams sanity-check a price before they're deep into negotiations.
Ownership and diligence. Knowing who actually owns a parcel - and what else they own, how much debt is tied to it, and when a mortgage matures - is useful both for outreach and for understanding a seller's motivation. Mortgage maturity data in particular is a signal worth watching if you're trying to find owners who might be more open to a conversation soon.
Team collaboration. For larger organizations, the harder problem often isn't finding data - it's making sure five people across two divisions aren't duplicating research or missing that someone already talked to a landowner last quarter. A shared portfolio view with tags, notes, and deal status is meant to solve exactly that kind of internal friction.
Who It's Built For
Acres offers both an individual plan and an Enterprise plan, with the enterprise tier clearly aimed at teams - homebuilders, developers, brokers, appraisers, lenders, energy and data center site selectors, and similar groups doing land work at scale. The Enterprise plan adds things like custom branded reports, larger lead-list allowances, skip tracing (finding current contact info for landowners), and dedicated onboarding and support.
The customer logos and testimonials on the site skew toward exactly that audience - homebuilders like Lennar and Century Communities, brokerage and real estate services like CBRE, and utility and materials companies like PG&E and Vulcan Materials - which suggests it's positioned more for organizations doing continuous, high-volume land sourcing than for a single investor buying the occasional lot.
Is It Worth Looking At?
If your team is still stitching together county records, paid comp reports, and spreadsheets to answer basic questions like "who owns this and what did land near it sell for," a consolidated platform can save real time - the value proposition here is less about doing something impossible before and more about removing friction from a workflow every land team already runs.
That said, a couple of things are worth checking before committing, especially at the enterprise level: how current and accurate the data is in your specific target markets (coverage quality can vary by region), and how well the mortgage and ownership records actually apply to your specific use case, since real estate data platforms almost always carry disclaimers around accuracy and recommend independent verification before you rely on anything for a real transaction.
The most reliable way to judge fit is to see it against your own market. Acres offers a demo request and a free sample report, which is a reasonable way to test the data quality on parcels you already know well before rolling it out across a team.
This post is based on publicly available information from acres.com/enterprise. Acres is a third-party platform and not affiliated with the author.
