Market Intelligence for Contractors Who Sell to Buildings

Qualifying 500 buildings by hand can consume more than a workweek. For this planning example, allow seven minutes per address for imagery and property records, including the time to record a match: 500 × 7 = 3,500 minutes, or 58 hours and 20 minutes.

Reviewing a delivered property list at 90 seconds per row takes 750 minutes for the same 500 buildings, which is 12 hours and 30 minutes of review instead of 58 hours and 20 minutes of research. The difference is 45 hours and 50 minutes. Ground Control by PorchRocket builds lists from aerial photos and property records, with the reason each property matched. The review allowance stays in the budget.

Market intelligence adds two more layers: evidence of what a buyer plans to purchase, and evidence of which customers pay your company to do profitable work. Bid Control by PorchRocket follows the public buying side. Your customer history supplies the fourth layer. Together, they tell an owner where to point the next sales hour.

What is market intelligence for contractors in 2026?

Market intelligence means using property features and records, public buying plans and customer history to choose the buildings a contractor should spend sales time pursuing.

A property address becomes a target account when you can explain why it fits and name the next question a salesperson should ask. For an HVAC campaign, that might be a warehouse with multiple rooftop units inside an existing service route. The first call establishes who handles the maintenance agreement.

Property intelligence covers the building and its records. Market intelligence also asks whether the account resembles customers you want more of, and whether there is evidence about purchasing timing. A warehouse with rooftop equipment supplies a physical fit signal, while a facilities contact saying the maintenance agreement renews in February supplies the timing evidence your rep needs to schedule the next conversation. Store those separately.

For national context, the EIA’s commercial buildings overview reports about 5.9 million commercial buildings and 96.4 billion square feet in the 2018 Commercial Buildings Energy Consumption Survey. Those are 2018 estimates used as background for a 2026 plan. Your territory needs a current property-level count.

I would start by asking which warehouses within our service route have enough rooftop units to justify a maintenance proposal, because that one question gives the office a reason to exclude small storefronts before anyone starts dialing. That fixes the area and offer before the rep opens a search.

Broad searches such as “commercial customers near me” leave those choices unresolved. The guide to finding commercial buildings in your area starts with the territory. Add the trade filters before you spend money reaching everyone inside it.

Choose the account unit early. One owner with six buildings can be one buying relationship and six service locations, while six tenants inside one building can represent six businesses without giving a roofing crew six separate roofs to pursue. Count properties and buyers separately.

Layer one, the features you can see

Aerial photos let you screen for visible features such as rooftop HVAC, pools or loading docks before assigning someone to research or visit an address.

The feature has to connect to work you sell. If an HVAC service department wants maintenance agreements for several rooftop units at one stop, I would put buildings showing those units ahead of addresses that still require the office to determine whether the equipment fits. A dock crew starts elsewhere. Loading positions give that rep a reason to investigate the site. A coating contractor starts with roof material and size.

In Ground Control, commercial filters include rooftop HVAC presence, with two-or-more and five-or-more visible-unit bands. Other visible filters cover installed solar, skylights, storage tanks and loading docks. Industrial yards and paved parking areas give exterior-service crews other starting points. Pool and grounds crews can select features relevant to their routes.

Roof screening can include patches, streaks, rust, ponding marks or debris. Use those observations to choose an inspection offer and record what is visible, so the salesperson can ask about maintenance without presenting a repair recommendation that the estimator has yet to support on a roof walk. Make the visit before specifying repairs.

Use the image date

The USDA’s National Agriculture Imagery Program hub provides access to aerial imagery and image-date tools. USDA describes NAIP as growing-season imagery. Find the flight date. A webpage updated this month can still display an older photograph, so record when the image was acquired before deciding whether its rooftop observations are recent enough for the campaign you plan to run.

Ask which date supports the feature at the address you are considering. An image service can contain photos from different flights. For your own worksheet, record the acquisition date beside the observation and keep any later site confirmation in another field. That lets the next rep resolve a disagreement without repeating the whole search.

For Ground Control orders, imagery is no older than two years when the order runs. On the first call, ask about work since the image was taken. Record a recent RTU swap or solar installation against that service address, then adjust the proposed maintenance scope.

The aerial imagery prospecting guide goes further into image-based screening. My starting rule is smaller: buy or build the feature list that changes your first call. A long menu of observations serves little purpose if the sales team sends every building the same offer.

Layer two, check property records and ownership

Assessor records give the sales team a second check on property identity and the recorded building characteristics used to select an address.

One primary example is the Harris Central Appraisal District property download page. Read its property data codebook before joining the files: ownership and site address information sit apart from building characteristics, which include size and year built, and the permit file records the scope description and status. Save those field definitions with the export.

Keep both addresses. Join records using the property account identifier and check which building a row describes before sending a rep to a site, because the owner’s mailing address can belong to a different location. Use the site address for dispatch.

I would keep these fields visible to the rep:

• Property identifier and site address, with the building identified when a parcel has several structures.
• Building area and business type, with the source’s meaning for each field.
• Owner entity and owner mailing address, followed by the role that approves your particular work.
• Source date and the reason the property passed the campaign filters.

Check what “area” means. A two-story office’s floor area and roof footprint describe different quantities, just as a parcel’s acreage differs from the paved surface that a sealcoating crew needs to measure before preparing its estimate for the property. Choose the measurement that supports your screening rule.

The building’s construction year also belongs apart from roof age. When the campaign needs a roof age band, use roof-specific evidence. The roof age data guide explains how that filter fits prospecting. Confirm equipment details during the HVAC walk-through and keep those findings with the service location.

Separate industry counts from addresses

The Census Bureau’s County Business Patterns reports annual statistics for establishments with paid employees, including industry and employment-size information. Use it to compare the business mix of two counties. A count of employer establishments does not give you a count of roofs your crew can service.

For records of planned work, choose the right permit source. The Census Building Permits Survey covers new privately owned residential construction. For a warehouse alteration or a commercial roof permit, research the local issuing office’s records and read the permit scope and status.

Ownership research comes next. Ask who approves your scope. The commercial property owner lookup guide walks through the record search, but the rep still needs to establish which person handles this building’s HVAC service or roof work and retain that role in the customer record. A property owner and a service buyer can be different contacts.

Layer three, follow what public buyers are planning

Public planning documents reveal named facility projects that a contractor can investigate before an advertised solicitation starts the response clock.

For a current planning example, Fairfax County Public Schools’ capital improvement program identifies its adopted FY 2027 to 2031 plan and the February 12, 2026 adoption date, giving a contractor a named document to open when researching future facilities work. Read the project entry itself.

I would track a project through five stages, using the language shown in Bid Control:

Stage	Evidence to look for	Contractor’s next action
Talked about	Discussion of a facility need in a meeting record	Save the facility name and set a review date
Money approved	An adopted action funding a stated scope or phase	Check whether the money covers design or construction
Being designed	A design scope, authorization or schedule	Study likely qualifications and crew fit
Bid coming soon	A procurement schedule or planned advertisement	Prepare registrations and company documents
Bidding now	The published solicitation and its attachments	Read scope, site visit requirements and submission instructions

A project can spend time in one stage or change direction. Save the supporting document. An agenda item requesting approval deserves a different label from minutes recording that approval, and a budget for design deserves a different field from construction funding when your estimator is deciding whether to start a takeoff.

For an estimator, the next-action column prevents premature takeoffs. A school mechanical project under discussion belongs on a watch list. An advertised package needs a bid/no-bid decision based on the written requirements and available estimating time.

Ground Control supplies the property screening for private outreach. Use public planning evidence through the public purchasing process. The bid intelligence explainer covers that research in more depth, including how to read project funding and contract history. I would keep each opportunity tied to its buyer and facility, so a later notice can be matched to the earlier planning record.

Layer four, let customer history pick the filters

Your customer records show which building types deserve another sales campaign when you compare gross profit and crew hours across similar periods and scopes.

Start with collected work. Export the last 24 months of invoices and job costs if you have that history, keeping a newer service line in its own group so an account with two months of work is not ranked beside a two-year customer. Join each customer to its service addresses before grouping the work by building type and offer.

Calculate gross profit per crew hour before ranking customers by revenue, using the same direct-cost definition across every job so a large invoice that consumed too many return trips does not outrank a smaller agreement that fits an existing route. Write down what you counted. Include the travel hours consistently.

For an illustrative HVAC department, suppose one warehouse agreement produces $1,140 in annual gross profit and needs 18 crew hours, while a restaurant account produces $1,470 and needs 35 hours. The first returns $1,140 ÷ 18 = $63.33 per crew hour, rounded; the second returns $1,470 ÷ 35 = $42. Travel is included in both hour allowances.

Now inspect the buildings behind the better accounts. Which have several rooftop units? Which sit near other service stops? Who authorizes work? Which service packages renew? Use the contractor ideal customer profile worksheet to convert those observations into fields you can search.

Building size and visible units guide the first list. The manager’s renewal date belongs in the account record after a conversation. Ask when the current agreement ends and how far ahead the manager reviews alternatives; schedule the next contact around that review window.

Include the accounts you stopped serving

Include lost accounts and declined quotes when building the profile, because a list of customers you still serve leaves out the properties that looked promising enough to quote but proved too costly or awkward for the crew. Use the recorded reason for a loss. Leave unknown reasons unknown.

I would review the first profile with the service manager. Ask which accounts create repeat truck rolls and which jobs fit the equipment already on the truck. Then have the sales manager check whether the buyer role is reachable. A filter set should reflect both sides of the operation.

For a manufacturer or distributor, use the same method at the dealer or territory level. Compare the building applications behind repeat orders, while keeping existing customer accounts assigned to their rep. The building-products territory planning guide applies those choices across several markets. Set the account ownership rules before sending the next file to the sales team.

A target list with a reason for every row

Each prospect row should identify one service location, explain its fit and give the rep a source-backed starting question before outreach begins.

These are illustrative building rows for a contractor serving the Fort Worth area. They show the office how to organize evidence before assigning the first call.

Target building	Image-based reason	Record-based reason	First question or check
A 38,400-square-foot warehouse	Five-or-more visible rooftop units; loading docks	Warehouse use and building area fit the campaign	Who approves HVAC maintenance for this location?
A 27,600-square-foot retail building	Membrane roof with visible patches	Building size and roof age band fit the roofing campaign	Has the owner scheduled a roof assessment?
A 51,200-square-foot industrial building	Metal roof; visible rust	Industrial use and building size match the crew’s work	What roof maintenance has been performed recently?
A multifamily property	Visible pool, lawns and planting beds	Property type matches a recurring exterior-service offer	Does the manager purchase these scopes separately?
A school maintenance facility	Paved parking and rooftop equipment	Public ownership; a facility planning record needs review	Which official purchasing process applies?

Attach source dates in the working file. Store the observed feature separately from the rep’s interpretation. “Five-or-more visible rooftop units” explains the HVAC fit. “Ready to replace the equipment” requires evidence from the buyer or the site visit.

I would add contact status and pursuit status as separate columns. A building can fit perfectly while the office is still researching the responsible person. A verified facilities contact can work at a property outside this campaign. Keeping those outcomes apart makes the next data order easier to specify.

Use a property identifier to catch duplicates before import. Then check shared ownership, because several good addresses can lead to the same buyer conversation. Keep the locations beneath that buyer instead of counting every address as an independent sales relationship. Assign one rep to the relationship.

Check 20 of the first 100 rows across the requested building types and areas before distributing the file, recording each failed filter so a wrong roof material can be corrected separately from a disconnected phone number. “Bad lead” tells the office too little. Name the field that failed.

With Ground Control, every delivered property explains its match. Add outreach outcomes beside that evidence and keep the reason visible when the rep opens a task two weeks later, so the office does not have to research the roof or equipment all over again.

The sales-hours and acquisition-cost math

A property list earns its cost when the research hours it saves support enough additional signed accounts to cover the data and selling expense.

Here is a budget model for an HVAC maintenance department pursuing small commercial agreements. All inputs are assumptions. The example holds appointment and close rates equal, so the difference comes from how many addresses the same first-pass hours can cover.

Allow 60 staff hours for the month at a loaded cost of $47 per hour: 60 × $47 = $2,820. Reserve 40 hours for property review and outreach, and 20 for appointments and proposals. The broad-list route takes 30 minutes per property; the prepared-list route takes 15. Both allowances include contact research and follow-up within the first-pass block.

Assume 8% of attempted properties produce an appointment and 20% of appointments produce a signed account. Allow 90 minutes of staff time for each appointment, including local travel and the proposal, plus $18 in vehicle and incidental expense. No paid advertising or separate paid contact research is included. Add those expenses if you use them.

The list comparison uses both ends of Ground Control’s $10 to $20 commercial range. Use the exact checkout price for your order when replacing these inputs.

Monthly model	Broad list, researched by staff	Prepared list at $10 per building	Prepared list at $20 per building
First-pass staff hours	40	40	40
Minutes per attempted property	30	15	15
Properties attempted	80	160	160
Expected appointments at 8%	6.4	12.8	12.8
Appointment and proposal hours at 1.5 each	9.6	19.2	19.2
Expected signed accounts at 20% of appointments	1.28	2.56	2.56
Budgeted staff cost, all 60 hours	$2,820	$2,820	$2,820
Property list cost	$0	$1,600	$3,200
Vehicle and incidental expense	$115.20	$230.40	$230.40
Total modeled acquisition spend	$2,935.20	$4,650.40	$6,250.40
Modeled cost per signed account	$2,293.13	$1,816.56	$2,441.56

The throughput arithmetic is 40 × 60 ÷ 30 = 80 properties, compared with 40 × 60 ÷ 15 = 160. Expected signed accounts are 80 × 0.08 × 0.20 = 1.28 and 160 × 0.08 × 0.20 = 2.56. Fractions describe an expected average across repeated campaigns; a month’s signed work arrives in whole accounts.

At the lower list price, modeled acquisition cost falls by about $477 per signed account. At the upper price, it rises by about $148. The number of properties attempted doubles in this example, while cash spending increases in both prepared-list cases. Compare both measures when deciding whether to order.

The appointment workload fits the 20-hour allowance in all three columns. The broad-list case leaves 10.4 appointment hours unused; the prepared-list cases leave 0.8 hours. The table charges the full 60-hour staffing budget in every column. If your team can put those unused hours into other revenue-producing work, include that contribution when comparing the campaigns.

There is also a break-even list budget. Using the unrounded broad-list cost per account, 2.56 signed accounts support $5,870.40 in acquisition spending. Subtract $2,820 in labor and $230.40 in visit expenses: $2,820 remains for the list and any research add-ons. Across 160 buildings, that is $17.625 per building, or about $17.63. Compare the total allowance with the checkout total.

What one signed maintenance account is worth

For the same department, use a $2,760 annual maintenance agreement, 72% annual renewal and a 32% gross margin. Hold price constant for five years. Include no repair sales, replacement work or referrals. Renewal is an assumed probability at each anniversary, so each later year’s expected revenue is smaller.

The five-year calculation is $2,760 × (1 + 0.72 + 0.72² + 0.72³ + 0.72⁴) = $7,949.87 in expected revenue. At a 32% gross margin, that is $2,543.96 in expected gross profit before acquisition expense and overhead. The calculation uses unrounded values.

Subtract the lower-price model’s acquisition cost and about $727 remains before overhead. First-year gross profit is only $2,760 × 0.32 = $883.20. The first year leaves a $933.36 acquisition-cost gap: $1,816.56 minus $883.20. Budget that cash before expanding the campaign. These five-year totals are undiscounted; they describe expected gross profit over time, before financing costs and overhead.

Replace the assumptions with your records before expanding. The contractor customer acquisition cost guide covers the expense side, and the commercial HVAC agreement guide covers the offer. For roof trades, the commercial roofing customer value model separates maintenance revenue from replacement opportunities. Use the account’s expected gross profit to set the pursuit budget.

Match the property signal to the trade

The same building can support several trade offers, but each campaign needs its own filter set and a first question tied to the work being sold.

Choose one offer per list. A warehouse that qualifies for roofing outreach can also fit a dock service campaign, but the two reps need different reasons for calling and different qualification questions before either should ask the property manager for a visit.

Trade or sales team	Property filters to start with	First offer to test	Information to confirm
Commercial roofing	Business type, roof material, roof age band and building size	Roof assessment or maintenance discussion	Recent roof work and purchasing responsibility
Roof coatings	Membrane or metal roof, size and visible wear	Roof walk to assess a maintenance scope	System details and coating suitability on site
HVAC service	Building type and two-or-more or five-or-more visible rooftop units	Maintenance agreement review	Equipment details and current service arrangement
Paving and sealcoating	Paved parking at target property types	Lot walk and maintenance estimate	Measured pavement area and scope
Propane	Visible storage tanks and business type	Discussion of supply or service needs	Fuel type, tank details and supplier arrangement
Loading dock service	Visible loading docks at warehouses or industrial properties	Dock maintenance walkthrough	Leveler type and maintenance responsibility
Solar	Building size, roof material and visible installed solar	Site qualification discussion	Roof suitability and energy records
Cleaning and pressure washing	Business type, size and exterior features	Scope review for the building	Access, frequency and who buys the service
Landscaping	Lawns, planting beds and property type	Grounds maintenance walkthrough	Site boundaries and service schedule
Pool service	Visible pools and residential or commercial property type	Service scope discussion	Pool equipment and purchasing authority
Building-product sales	Property application, visible features and territory	Relevant product application review	Channel assignment and current project scope

Use the linked trade guides to choose a narrower offer: parking lot sealcoating prospects, propane customer acquisition, loading dock service prospects and solar prospecting by roof.

Exterior-service campaigns have their own details. The guides to commercial pressure washing contracts, commercial landscaping contracts and pool service prospects connect the visible feature to a service conversation. Start with the filter you can defend, then confirm the service scope with the buyer.

For a commercial solar campaign seeking roofs without installed panels, specify that requirement through a custom request. For homes, Ground Control offers solar or no-solar filters directly. Keep roof suitability and structural review in the installer’s site assessment.

Home-service lists need their own budget. In Ground Control, home filters cover roof age bands and home size as well as visible features such as pools, driveways, decks or solar. Keep homes and commercial buildings in separate campaigns so the office can assign a visit allowance and an acquisition budget that match each offer.

Can AI find customers for a contractor?

An assistant can support prospecting when it works from identified records or imagery and gives you evidence for each building it recommends approaching.

The request “find buildings with rooftop units in my city” leaves several tasks unspecified. Which boundary defines the city? What imagery is being inspected? How old is it? Which address belongs to the roof? Require those details before putting the result in a sales queue.

The NIST Generative Artificial Intelligence Profile, published in July 2024, describes confident false outputs as confabulation in section 2.2. It also calls for reviewing generated sources and citations in action MS-2.5-003. For prospecting, I would apply that advice to the address and claimed property feature before using a generated list.

A chatbot with connected search or data tools can retrieve evidence. Judge that evidence the same way you judge a purchased file. Open the source. Check the building. A persuasive paragraph about an industrial district does not establish that every address in the paragraph has five rooftop units.

I would use an assistant for bounded work on records the company has already checked: grouping service notes by building type, drafting filter definitions, or identifying rows with missing fields. Have the office review the output before it changes the account list. Keep the source column during any cleanup.

Here is a prompt for organizing a permitted property export:

Review these property rows against the attached campaign filters. Return the property identifier, which filters are supported, the evidence field for each match, and missing information. Keep observed features separate from assumptions. Leave unknown fields blank and flag them for review.

That request gives the output a testable shape. It does not require the assistant to invent a buyer name or purchasing date to finish a row. After review, the sales manager can decide which missing facts belong in contact research and which belong in the first conversation.

If someone sells you “state of the art lead targeting,” ask them to explain one address in the file. Look at the feature evidence and the correction process. Ground Control only sends properties it is 90%+ sure match the requested criteria and credits wrong matches back within 30 days. Record which requested filter failed when submitting a correction.

Market intelligence tools compared by job

Choose the tool that supplies the missing evidence in your prospecting process, then test a sample export before committing staff time to a larger campaign.

For a small trade company, I would begin with a targeted property file and the customer system already in use. Add another database when a specific question remains unanswered. “We need to identify metal-roof warehouses” gives you a clearer purchasing test than “we need more data.”

Tool category	Main job	Test before buying or using it	Where it fits
Property-feature data	Select buildings by physical fit	Check requested features on sample rows	Ground Control supplies property matches
Parcel and assessor records	Establish property identity and recorded characteristics	Check field definitions and building-to-parcel relationships	Ownership and size research
Commercial real estate research databases	Research a building’s ownership or occupancy	Ask for a sample showing source dates and your required fields	Portfolio or occupant research, subject to coverage
Industry statistics	Compare the business mix of territories	Confirm the unit counted and reference year	County Business Patterns helps area selection
CRM or customer records	Track relationships and sales outcomes	Check that service addresses and results can be exported	Customer profile and follow-up
Public bid tools	Follow public projects and solicitations	Inspect the buyer’s source documents and current stage	Bid Control supplies the public-work side

The categories can overlap. Buy against a written requirement, then inspect what the file contains. If your paving campaign requires visible paved parking, a parcel boundary alone does not answer the question. If your office needs a dated public bid packet, an aerial photo does not supply it.

The commercial property data provider comparison covers the data purchase in more depth. For this first campaign, request the file format your office can handle and preserve the match reasons during import. A spreadsheet is enough to start if someone owns the follow-up dates and records outcomes consistently.

Start with 100 buildings in one week

Test 100 buildings inside a compact service territory before paying to expand, using the same offer throughout the first outreach batch.

The first week should produce a checked target file and scheduled follow-up. Assign a person to every step, including contact review and the entries recording why a rep disqualified a property. Give the reviewer the written filter list before the order arrives.

Day	Work to do	Output the owner can review
Monday	Select the offer and examine customer job costs	Written filters and an excluded-property list
Tuesday	Choose the service area and order or begin building 100 targets	Area boundary, list budget and named reviewer
Wednesday	Prepare the outreach and clean existing customer records	Assigned account owners and suppressed duplicates
Thursday	Review the delivered file, timing permitting; check 20 rows	Pass/fail notes for each requested property filter
Friday	Research contacts and begin a small outreach batch	First conversations, missing facts and dated follow-up tasks
Weekend	Owner reviews the pilot without expanding its scope	Decision about corrections and the next week’s outreach

Allow for Ground Control’s delivery within 48 hours after payment, often sooner. Schedule the order early enough for the review slot. If you build the list manually, time the first 10 addresses and revise the week’s capacity before promising the sales manager that all 100 will be ready for Friday’s outreach.

Set the territory from the service base. A radius makes the initial search easy, but I would ask the service manager to check edge-of-area addresses against the routes technicians can cover during the hours promised in the offer before assigning those buildings to a rep. Use that review to adjust the boundary.

At the $10 to $20 commercial range, 100 buildings cost $1,000 to $2,000 before research add-ons. Set a separate staff-hour allowance for checking the file and contacting prospects. Compare the combined spend with the gross profit your service offer can support.

Make the first message about the scope

For the illustrative HVAC campaign, a first-call question could be: “Who handles rooftop equipment maintenance at this location, and when do you review the service agreement?” Use the answer to assign the buyer role and follow-up date. If the contact redirects you, record that relationship before making another call to the same building.

For email outreach, the FTC’s CAN-SPAM business guide says commercial email includes business-to-business messages. Its requirements include accurate sender information and subject lines, identification as advertising, a valid postal address and a clear opt-out. Honor opt-out requests within 10 business days. Apply those requirements to the campaign template before sending.

The property manager outreach guide develops the conversation. Track property fit separately from buyer interest. Record attempted accounts, verified responsible contacts, appointments and signed work. Review the reasons for a miss before changing the filters: an unreturned message does not establish that the building failed the HVAC criteria.

What is the fastest way to get a property list?

Ground Control by PorchRocket handles the imagery and property-record research so your team can start with buildings that fit its trade. Choose your service area, business type, building size, roof material or the 10+ roof age band, and visible features such as rooftop HVAC, tanks or docks. Commercial buildings cost $10 to $20 each, with owner and decision-maker research priced separately. Files arrive within 48 hours after payment, often sooner. Every row explains its match, and a wrong match receives credit back within 30 days. Orders start at 10 buildings.

For a commercial campaign, use the commercial property list options to set the filters around the work you want. Owner information and decision-maker contacts are add-ons; contact research can include a named person and role, with email and phone where found. You are never charged for a contact that is not found.

I would request enough information to support the first conversation, then add site findings as the opportunity develops. Keep the account’s building match beside the contact record. Establish who handles the scope and put the buyer’s next review date on the follow-up task.

Add the public-work pipeline with Bid Control

Bid Control puts cities, counties and school districts in a separate pursuit pipeline where official purchasing documents determine the next step and deadline.

Use Bid Control’s public project and bid board for early signs, open solicitations and past award amounts. A school roof in a facilities plan needs a research task. The advertised roof package needs a review of its written scope and return requirements. Keep the stage attached to the source document.

For owners who want help preparing the response, Bid Builder works through the forms using the Bid Passport company file. Bid Team’s work with contractors includes choosing suitable jobs and planning each bid, then handling forms, addenda, notary pages, portal accounts and deadlines. You make the final call on your number, you sign and you send.

Bid Team costs less than any bid writer, bid consultant or in-house bid coordinator, and less than any other done-for-you bid service. A free 15-minute call with Rafael can focus on your trade and the public jobs you want to pursue. Keep public opportunities distinct from private property outreach when reviewing the sales budget.

Market intelligence with Ground Control and Bid Control

PorchRocket connects a property-based account list with public buying intelligence, while your customer history determines which work deserves the next sales campaign.

Start in Ground Control with an offer your crew can deliver and filters that describe the buildings you want. I would begin with one compact territory and review the first file before increasing volume. The sales manager should be able to explain why each building is there.

For this workflow, your team gets:

• Property selection by business type, building size, roof material or age band, plus the visible features your trade needs. An HVAC campaign can specify multiple visible rooftop units; a dock crew can start with loading docks.
• A reason for each property match, so the person making the first call has a building-specific starting point and the reviewer can check the requested filters.
• Owner information and decision-maker research as optional additions, with contact fields supplied where found and no charge for contacts that are not found.
• CSV and Excel files that the office can import into its customer system, keeping the property identifier and match reasons beside follow-up tasks.
• A route for larger territories or unusual requirements through a custom property data request, including files for a sales team or dealer network.
• Public project stages, bid documents and award history through Bid Control when the target buyer is a city, county or school district.

Order the first 100 buildings around one profitable service offer, and give the next sales day to accounts your crews are equipped to serve.