How Much Does Commercial Property Data Cost in 2026?

A 300-building campaign can start with a cheap parcel download and still consume weeks of sales research. The first comparison is what each price buys: access to records, software delivery, or buildings already selected against your work requirements.

Pricing model	Data charge toward 300 accepted buildings	Work still to budget
Per matched building: Ground Control	300 × $10 to $20 = $3,000 to $6,000, before add-ons	Contact research, outreach and estimating
Research seats	Reonomy advertises a $400 starting monthly rate per user; get a quote for the term and exports needed to screen 6,000 candidates	Building selection and file preparation
Data licenses and APIs	Regrid Standard: $375 + 4,000 × $0.10 = $775 for 6,000 returned records in one billing month; ATTOM requires a usage quote	Integration, screening and any extra usage
Per-record downloads	Regrid Pro: $10 + 1,000 × $0.10 = $110 for 6,000 CSV records in one billing month	Screening parcel candidates into 300 suitable buildings

The raw-data rows use the campaign worksheet’s 5% fit assumption: 6,000 candidates yield 300 accepted buildings. A record is a candidate until it passes the service specification. The price of access alone cannot settle the buying decision.

Ground Control by PorchRocket sells the selection work with the building. A research subscription or download can cost less at checkout, but its price does not tell you how long your team will spend finding warehouses with five visible rooftop units or properties with paved parking areas.

The November 2026 prices below come from the linked vendor pages. Research seats buy staff access; licenses and APIs buy data delivery; downloads buy records; matched-building orders buy selection with the file. The campaign worksheet carries each route through to a signed service account.

How we compared commercial property data prices

For a trade company, the strongest comparison measures the total cost of producing 300 buildings that meet a written service specification.

I would compare these five items before asking about a discount:

• Building fit: Can the purchase select your size band and business type, plus visible features such as rooftop HVAC, loading docks or tanks?
• Buying commitment: Are you paying for selected buildings, individual users or recurring software access, and what amount must you commit before the first campaign?
• Time to a working file: Who does the screening, who prepares the import, and when can the salesperson start?
• Contact scope: Does the price include owner information or named decision-maker research, or are those separate purchases?
• Wrong-match treatment: What written criteria decide whether a building belongs in the order, and what happens when it fails them?

For trade prospecting, Ground Control ranks first because it delivers a file selected around the service you sell. Its commercial price is $10 to $20 per building, with delivery within 48 hours after payment and credit back for wrong matches reported within 30 days.

The wider commercial property data provider comparison explains the categories. This cost guide gives the labor beside the purchase price so an owner can approve a campaign budget.

Published commercial property data prices in 2026

Ground Control publishes $10 to $20 per matched building; the other verified prices below purchase research access, parcel downloads or API delivery.

Option	Verified public price	What that price establishes	What needs a separate check
Ground Control, best for trade companies buying selected buildings	$10 to $20 per commercial building	A matched-building order, starting at 10 buildings	Owner and decision-maker add-ons
Regrid Property App Pro	$10 monthly or $100 annually	One Pro subscription	Required screening time and exports beyond the allowance
Regrid Standard API	$375 monthly	2,000 parcel records and 200,000 tiles	Additional records, integration and screening
Regrid Premium API	$500 monthly	2,000 parcel records and 200,000 tiles	Whether the extra fields justify the tier
Reonomy	From $400 per user per month, according to its official resource	A starting subscription rate	Checkout term and export package
ATTOM Basic Property API	From $500 monthly	Starting Basic access	Required endpoints and usage; Premium is quoted
CoStar	Quote-based	A sales discussion for the requested subscription	Total commitment and permitted campaign workflow

The official Regrid app plans, Regrid API rate card, Reonomy starting-price explanation and ATTOM API pricing support those dollar figures. CoStar directs prospective subscribers to its sales team.

Keep the billing units separate. The labor worksheet below carries each purchase through to an accepted building.

Ground Control pricing for a 300-building campaign

A Ground Control order for 300 commercial buildings costs $3,000 to $6,000 before add-ons, with the exact order price visible before payment.

Budget at $20 a building. Larger orders cost less per building, so replace that allowance with the displayed order price before approving spend. Check the Ground Control price page for your order.

For an HVAC service department, the specification might be warehouses or industrial buildings of 25,000 square feet or more, with five or more visible rooftop units in the territory your technicians cover. For paving, the starting specification could be retail or industrial properties with paved parking areas. A roof coating crew could select older commercial roofs by material and size band.

Those are different lists. Paying the same amount for each building makes sense only when the building carries enough work to support your sales effort. I would rather begin with 10 carefully selected warehouses than spread the same research budget across unrelated property types.

Owner information and decision-maker research are add-ons. Decide which one your office needs before ordering. A company with a capable office researcher can buy the building selection first and perform contact work internally; a small sales team can add the named contact research where found.

The standard file explains why each property matched. You can inspect the selection against your written requirements and send wrong matches back for credit within 30 days. That gives the purchasing decision a defined unit: one building meeting the agreed criteria.

Reonomy pricing and the cost of research seats

Reonomy states a starting rate of $400 per user per month, while the selected billing term and export package determine a downloadable campaign’s full bill.

Its current subscription page describes monthly and annual plans, seat-based pricing and separately quoted bulk feeds or API access, with 1,000 monthly exports included in the annual option and exports listed as an addition to the monthly option. Its stated audiences include brokers, investors and research teams.

For a contractor, the cost question is who will select the right buildings after buying access. Ownership research can answer who holds a parcel, but your campaign still needs a person to decide whether the site meets your service specification. Price those hours beside the subscription.

Ask for the total. The checkout summary should show the user count, selected term and required export volume. I would test the export workflow against the file the salesperson needs before committing a research seat to the campaign.

Use the Reonomy alternatives for contractors comparison when the immediate purchase is a selected territory list. If the owner wants a researcher investigating ownership throughout the year, price the seat against that continuing workload.

Pick it if commercial ownership research is a recurring staff responsibility and your team will use the seat beyond this prospecting order.

CoStar pricing needs a scoped quote

CoStar does not publish a subscription dollar schedule on the product and contact pages checked for this guide, so obtain a scoped sales quote.

The official CoStar product overview describes property information, sales comparables, lease activity and market analytics for commercial real estate users. Those jobs differ from ordering a trade-specific list selected by visible building features.

For a service contractor, I would send sales a written request for the proposed workflow, including the number of users and intended territory. Attach an example of the campaign output. Ask what the license permits your team to export and retain. Put the quoted commitment into the worksheet before estimating a per-building cost.

A subscription used for leasing research and investment analysis can serve several departments, but a sales manager who only needs 300 suitable buildings should charge the campaign for the full purchase unless another department has approved its share. Get that allocation in writing. Dividing by every property in a database hides the campaign’s expense.

The CoStar alternatives comparison addresses that buying decision in more detail. I would choose a delivered list for a single territory campaign and evaluate research software when the company has continuing real estate analysis to do.

Pick it if your organization needs commercial lease or transaction research regularly enough to fund the quoted subscription on those tasks.

ATTOM pricing for commercial property data APIs

ATTOM Basic Property API starts at $500 per month; Premium pricing depends on the requested data, usage and application requirements.

Its official pricing page lists core property and ownership categories and says endpoint availability and coverage vary by license. A buyer should confirm the requested commercial property fields and volume before using the starting rate as a campaign total.

For a trade company, the extra expense is the workflow around the feed. Someone must connect the software, resolve incoming records and decide which buildings belong in the salesperson’s territory. If visible equipment or site features decide qualification, include that selection work in the budget.

I would request a sample containing the fields that settle the buying decision. Test a warehouse address and a multi-building site your staff can recognize. Give the developer one expected output row and require the software to preserve a building identifier, the source date and the account assignment through export, so the office can trace a disputed row without reopening the integration.

An API becomes easier to justify when it feeds repeated business operations. Buying access to make one spreadsheet still leaves the development bill on that spreadsheet. Spread that cost across later campaigns only when someone has funded and scheduled them.

Ask the vendor to price the data access; ask your developer to price implementation and upkeep. Add both amounts before comparing the result with a delivered file.

Pick it if your company is building a repeatable property-data application and has staff assigned to operate it.

Regrid pricing for downloads and APIs

Regrid Pro costs $10 monthly, while its separate Standard API costs $375 monthly; the download allowance and API allowance are different products.

The Property App’s export documentation includes 5,000 spreadsheet records per month for Pro and Team subscribers. Additional CSV records cost $0.10 each; spatial exports cost $0.15 per parcel. A new Pro subscriber downloading 300 CSV records within the allowance pays the subscription, not an added $30 record charge.

The Standard and Premium APIs each include 2,000 parcel records and 200,000 tiles. Standard record overages are $0.10; Premium record overages are $0.15. Regrid’s API billing explanation bills returned records, including repeated lookups, rather than simply counting requests. An application that fetches the same records again can spend more of its allowance.

For a contractor, these prices put parcel candidates within reach. Time the remaining screen. Ten seconds spent recognizing an address and four minutes spent investigating a rooftop are different cost inputs; I would ask the researcher to measure that work before selecting an app or commissioning API work.

Use a small batch to test the full path from source record to assigned account. Include ambiguous sites in the timing sample; otherwise the research estimate excludes the records that take the longest to resolve. Count rejects in the time total even though they never reach the sales team.

Pick it if parcel data is the required input and your team can perform the remaining selection work at an acceptable cost.

Hidden costs between the record and the first visit

The largest avoidable expenses are screening hours and wasted sales activity, but additional seats and minimum commitments can raise the data bill before outreach begins.

Start with the purchase commitment. Put the amount payable for the selected term into the campaign budget, including every user who needs access. If an export package costs extra, include it. A low advertised access rate does not establish the price of the file your office intends to work.

Count the rejects. Someone pays for the minutes spent checking a warehouse that fails your size requirement or an industrial site outside the service boundary. Log them. The finished spreadsheet will show only the buildings that survived.

File preparation gets its own line. Connecting buildings to parcels and assigning territories consume staff time. Remove duplicates before assigning accounts. A multi-building campus also needs an account structure so two salespeople do not approach the same manager independently. Keep a building identifier and an owner or portfolio identifier in separate columns.

Wasted visits cost more than the inspection itself. Charge travel and preparation to the campaign that generated them, using your company’s hourly cost. For roofing, the commercial roofing prospecting guide shows how building selection connects to surveys and maintenance accounts.

Owner time costs money. I would price an owner’s research hour at the cost of replacing that work or the contribution of the work it displaces, because calling it free removes the person who did the research from the buying calculation.

For public work, Bid Control by PorchRocket finds city, county and school opportunities, with bid papers and addenda in one place. Track that campaign separately so private-property data costs do not get mixed with public-bid preparation.

How to calculate cost per usable building

Divide the data fee, screening labor and file preparation by the number of distinct buildings accepted against the campaign’s written specification.

Cost per usable building = (data purchase + screening labor + file preparation) / accepted buildings.

Say an HVAC service department north of Fort Worth wants 300 warehouse or industrial prospects within 35 miles, each at least 25,000 square feet with five or more visible rooftop units. The buying model assumes 5% of a broad candidate pool fits, four minutes of review per candidate and $46 per research hour. Apply that same pool to the alternative routes to isolate purchase and processing costs; replace its fit rate with a timed sample after using each provider’s available filters. Manual file cleanup takes another 12 hours. A delivered matched list needs six hours for administration and import review.

Each raw record represents one candidate building, and each accepted building represents a separate sales account. All hourly rates include payroll burden and allocated operating costs. Existing research tools carry no extra campaign charge; taxes and financing costs are excluded.

To find 300 suitable buildings at a 5% fit rate, the manual route needs 300 / 0.05 = 6,000 candidates. Reviewing them takes 6,000 × 4 / 60 = 400 hours. At $46 an hour, selection alone costs $18,400. Cleanup adds 12 × $46 = $552.

The denominator stays at 300. Dividing by all 6,000 purchased records would give credit to 5,700 properties the salesperson should never approach.

Define acceptance before buying. For this campaign, a building needs the specified business type and size, the requested visible equipment band and an address inside the territory. An uncertain property waits for resolution instead of quietly entering the accepted count.

Contactability is a second measure. A building can fit the service specification while contact research remains unfinished. Track cost per matched building first, then cost per reachable account. The sales office can see which part of the process needs attention without treating a missing phone number as proof that the building is unsuitable.

What a 300-building campaign costs after research

Using the stated screening assumptions, Ground Control costs $6,276 to prepare 300 buildings, compared with $19,062 for a parcel download and manual selection.

The Ground Control budget uses $20 per building, the upper published price: 300 × $20 = $6,000. Administration adds 6 × $46 = $276. The resulting cost per usable building is $6,276 / 300 = $20.92.

The download route uses one month of Regrid Pro and 6,000 CSV records: $10 + (1,000 × $0.10) = $110, because 5,000 records fall inside the allowance. Add $18,400 of screening and $552 of cleanup. Total preparation cost is $19,062, or $63.54 per accepted building.

Route to the same 300 accepted buildings	Data purchase	Selection, preparation and setup	Prepared-list total
Ground Control	$6,000	$276 administration	$6,276
Regrid CSV download	$110	$18,400 screening + $552 cleanup	$19,062
Regrid Standard API	$375 + 4,000 × $0.10 = $775	$18,400 screening + $552 cleanup + $1,776 implementation	$21,503
Reonomy research seat	R, the quote including the required term and exports	$18,400 screening + $552 cleanup	R + $18,952
CoStar research subscription	C, the quote for a permitted research workflow	$18,400 screening + $552 cleanup	C + $18,952
ATTOM API	Q, the quote including required access and usage	$18,400 screening + $552 cleanup + $1,776 implementation	Q + $20,728

The API implementation allowance is 24 hours at $74 an hour. Vendor data fees remain separate. Regrid usage occurs within one billing month, with the full allowance available, each record returned once and no tile overages. Staff can share the 400 screening hours after authorized export. Confirm permitted retention and downstream use before buying; extended access adds another subscription charge.

All routes must meet the same acceptance specification. A research quote belongs in the table only after the vendor confirms the planned workflow. An existing integration can reduce setup expense; faster screening changes the labor line.

Ground Control saves $19,062 - $6,276 = $12,786 against the download route here. That is about 278 research hours at $46, before the first sales call.

Cost per signed account and the five-year return

Customer acquisition cost includes the prepared list and every sales expense through signing; the base campaign below spends $16,254 and signs three accounts at $5,418 each.

Use the same sales workload for each source so the data comparison stays readable. Budget 18 hours of internal contact research at $46, then 90 hours of outreach at $48. The outreach allowance is 18 minutes per target building across all attempts.

The funnel assumes 20% of 300 targets become conversations, 50% of those conversations become site meetings and 50% of meetings become proposals. That means 60 conversations, 30 meetings and 15 proposals. Signing 20% of proposals produces three accounts, a 1% target-to-account rate. Each meeting uses 1.5 hours at $62, including preparation and travel; each proposal takes two hours at $68.

Work after list preparation	Arithmetic	Cost
Contact research	18 × $46	$828
Outreach	90 × $48	$4,320
Site meetings	30 × 1.5 × $62	$2,790
Proposals	15 × 2 × $68	$2,040
Total	$828 + $4,320 + $2,790 + $2,040	$9,978

Customer acquisition cost, or CAC, is all campaign spending divided by signed accounts. Ground Control produces ($6,276 + $9,978) / 3 = $5,418 per account. The download route produces ($19,062 + $9,978) / 3 = $9,680. The Standard API route produces ($21,503 + $9,978) / 3 = about $10,494.

For account value, use a $16,200 annual PM agreement with $10,400 in direct annual service costs, including travel. Annual gross profit is $5,800. Customer lifetime value measures the gross profit expected while that account stays with you.

At 80% annual retention over five years, expected gross profit per signed account is $5,800 × (1 + 0.8 + 0.64 + 0.512 + 0.4096) = $19,497.28. The first year is earned in full; each renewal keeps the same revenue and service cost, with no additional acquisition expense. This uses undiscounted gross profit and leaves replacement projects out of the account value.

Lead-list ROI = (account gross profit over the chosen period - list and sales cost) / list and sales cost.

The sensitivity table holds outreach, meetings and proposals fixed and changes only signed accounts. Dollar totals retain cents; target-to-account rates are rounded to two decimals and ROI to the nearest whole percent.

Five-year outcome with the same $16,254 campaign budget	Signed accounts	Target-to-account rate	CAC	Expected account gross profit	Campaign ROI
Low	1	0.33%	$16,254.00	$19,497.28	20%
Base	3	1.00%	$5,418.00	$58,491.84	260%
High	5	1.67%	$3,250.80	$97,486.40	500%

The base case leaves $58,491.84 - $16,254 = $42,237.84 after acquisition expense. CAC payback is $5,418 / ($5,800 / 12), or about 11.2 months with gross profit earned evenly through the first year. Budget around the low case if cash is tight; payback timing matters before five-year value arrives.

Change the assumptions in the lead-list ROI calculator. Start with your agreement margin and retention, then enter the whole sales budget.

How much does fit change sales output?

In the campaign model, 300 accepted targets put 20 times as many suitable buildings into the same outreach hours as 300 records from the 5%-fit pool.

The 90-hour outreach budget covers 300 buildings at 18 minutes each. At a 5% fit rate, an unscreened batch of that size contains 15 suitable buildings. A list of 300 accepted matches gives the salesperson 300 suitable buildings to work. The arithmetic is 300 / 15 = 20.

You can move selection upstream to a research desk or buy it with the list. Skipping selection makes the sales team spend its outreach budget on unsuitable properties.

Protect estimator time first. Require a salesperson to confirm the service fit and identify the person responsible for the work before booking a detailed site meeting. A building that passes the initial screen can still wait for a later budget cycle.

Track progress by accepted building and by owner account. If one manager controls several properties, connect them before scheduling visits. Keep each property’s scope separate so a small first agreement does not conceal a much larger portfolio opportunity.

When another tool is the better buy

A research subscription or data license wins when recurring analysis or a sufficiently fast internal screening process makes its total cost lower than buying selected buildings.

• A brokerage needing lease and sale comparisons should price research access around those repeated tasks. A contractor prospect file does not supply that research workflow.
• A data team building an application with ongoing parcel lookups should evaluate API or bulk licensing, including implementation and permitted storage.
• A company with funded analysts and a working database should compare the added cost of another campaign against the cost of a fresh matched-building order.

The manual-screening break-even point is measurable. Using the same $110 download and $552 cleanup budget, the research allowance before reaching Ground Control’s $6,276 preparation cost is ($6,276 - $110 - $552) / $46 = about 122 hours.

Spread across 6,000 candidates, that allows about 73 seconds per record. If your staff can make the required acceptance decision faster than that on average, the download can win this worksheet. Four minutes per candidate makes the matched-building route cheaper.

Time the whole batch. Include unresolved sites and records you reject. An analyst who needs no visual review may clear the threshold; a staff member searching roof by roof may not.

For a trade owner buying one territory without a research desk, I would buy matched buildings first. Expand into licensed data when a recurring workload supports the staff and software around it.

How to price a commercial data purchase, step by step

Use an eight-step purchasing process to define the required buildings, compare the full delivery cost and measure signed accounts before expanding into another territory.

1. Write the service offer. For the HVAC campaign, specify a PM agreement for warehouses and industrial buildings with five or more visible rooftop units. Set the minimum building size and the territory your technicians can cover.
2. Define an accepted row. List the location and building criteria your office must verify. Decide how to treat campuses, repeated owner names and uncertain equipment counts before purchasing records.
3. Select the territory and building filters in Ground Control, at $10 to $20 per commercial building, with the file delivered within 48 hours after payment. Start at 10 buildings if you need to test the specification before ordering 300.
4. Request the same output from alternative sources. Ask for the required seats, export volume and purchase term in writing. For APIs, obtain a developer’s estimate for producing the proposed file, including the screening steps left to staff.
5. Time a mixed screening sample. Record all minutes, including rejected and unresolved candidates. Multiply the average by the number of raw candidates needed to reach the accepted-building target. Put cleanup time on a separate line.
6. Decide who researches contacts. Compare internal staff time with the quoted owner or decision-maker add-on. Load a small sample into your sales tool and check the address, territory and account assignments before importing the full file.
7. Assign outreach hours and field capacity. Use the campaign worksheet to reserve calls, site meetings and proposal work. Give each account one owner inside your team and a dated next action.
8. Reconcile spend after the first campaign. Compare accepted buildings, conversations, proposals and signed accounts with the budget. Expand the territory only after you know which filter produced work your crews want to service.

Keep the worksheet with the order. A second campaign should begin with measured screening time and your own stage conversion rates, replacing the planning assumptions used for the first purchase.

Build the purchase order around accepted buildings

A 300-building purchase order should define the acceptance test, delivery format and contact scope clearly enough for the office to check the file before assigning outreach.

Use a short specification your sales manager can read without opening the provider’s software:

• Territory: the selected service area, with any excluded ZIP codes or boundary edges recorded.
• Property fit: warehouse or industrial use, 25,000+ square feet and five or more visible rooftop units for this HVAC campaign.
• Quantity: 300 distinct accepted buildings, with separate building and owner account identifiers in your working file.
• Delivery: CSV or Excel, with fields mapped for the sales tool the team uses.
• Contact scope: state whether the order includes owner information, decision-maker research or building selection alone.
• Acceptance review: record which requested criterion failed and send the property back through the provider’s stated correction or credit process.

Avoid adding fields simply because a database contains them. Ask which field changes a call, a route or the first service offer. Unused columns make review slower without making the account more valuable.

For roof-focused campaigns, the roofing data provider guide helps identify the required data category before requesting prices. The same purchase-order discipline applies to other trades: write the job the data must perform, then approve the price for that job.

Keep the dated order criteria beside the delivered file. The office can then check a disputed match against the exclusions agreed before payment.

Order the 300-building file in Ground Control

Ground Control by PorchRocket provides the fastest route to a trade-focused target list: select the area and building features, then receive matching commercial properties within 48 hours after payment. It filters by business type, building size, roof age band and visible features such as rooftop HVAC, parking areas or docks. Commercial buildings cost $10 to $20 each, with orders from 10 buildings and owner or decision-maker research priced separately. Every property explains its match, and wrong matches reported within 30 days receive credit back. These are target accounts for your team to approach; the owners have not requested quotes.

For this campaign, your office gets:

• Buildings selected around your service territory and size requirement, with the reason each property matched.
• Equipment-focused selection through the rooftop HVAC building list, or a different specification such as the paved parking property list.
• CSV and Excel files, with import layouts for SalesRabbit and SPOTIO and help mapping fields for other CRMs.
• Optional owner information and named decision-maker research, with no charge for a contact Ground Control cannot find.
• A price visible before payment and a defined way to credit wrong property matches within 30 days.

Buy the buildings your team can serve, and put the saved research hours into the accounts.