Industries · Home Services · Roofing · HVAC · Solar · Plumbing · Remodeling · Pest · Lawn

Home services, from the homeowners on one route to a territory the whole company runs on.

A roofer wants the homeowners in three zip codes with roofs old enough to replace who researched roofing this week. A national home-services platform wants every territory scored, mailed and measured on one household key. Property, household, purchase and daily intent fields on 240M adults serve both.

Audiences are built on property age, ownership, dwelling type and open research intent; every phone carries a do-not-call flag.

  • Owner or renter, dwelling type, year built, home value, square footage proxies, pool and other property fields on roughly every US household.
  • Daily intent on roof replacement, HVAC repair, solar panels, plumbers near me, kitchen remodel, pest control and the competitors by name.
  • Direct mail by carrier route or household, in home within a week, matched back to booked jobs by address.
US Consumer Data · Roof replacement in-market · 3 zip codes · 3,480 homeowners
SegmentHomeownerYear built: before 2005Single-familyHome value: mid to upper bands
SignalsRoof replacementRoofing contractors near meStorm damage insurance claim
AlsoValidated phone · do-not-call checkedMailing addressEmail validated
PushedDirect Mail · 3,480Meta · 58% matchedGoHighLevel
Mail the listPush to MetaSend to the CRM
240M+US adults in the graph
120Mbusinesses, with the people in them
2Tintent signals read a day
400+attributes on a person

The ladder · simplest to largest

Five rungs, from one route's mailer to the platform's territory warehouse.

Home services runs on rungs one and two with real results, because property fields and in-market intent are the whole game. Multi-market companies and platforms climb to rungs three through five.

Rung 1 · Day one

A single-truck operator, a local contractor, a franchisee with one territory

Pull the in-market homeowners on your routes, and see who is on the site.

Build one US Consumer Data segment: homeowners in your zip codes with the property fields that need your trade (year built, dwelling type, pool, lot), researching it this week. Download it with validated phones, do-not-call flags and addresses. Put the Website ID tag on the site and see which households read the services and financing pages last night.

  1. Build the segment in US Consumer Data: zip codes, ownership, property fields, this week's research.
  2. Install the Website ID tag; by tomorrow the households on the services pages are in the app.
  3. Mail the list; call the numbers that clear the do-not-call flag.
Rung 2 · First month

A contractor with a media budget, a franchisee with several territories, a solar installer

Advertise to the in-market homeowners, suppress customers, and mail by carrier route.

Ad Audiences turns the segment into hashed audiences on Meta, Google, YouTube and CTV, refreshed weekly as intent moves. Smart Exclusion keeps past customers and current jobs out of acquisition spend. Direct Mail runs carrier-route and household drops, in home within a week, matched back to booked jobs by address.

  1. Build in-market audiences in Ad Audiences per trade and territory; match rate per platform shows first.
  2. Load past customers and current jobs into Smart Exclusion.
  3. Run the drops through Direct Mail; match back by address to the CRM.
Rung 3 · First quarter

A multi-territory company with a CRM (ServiceTitan, GoHighLevel, HubSpot) and a call center

Enrich every lead and customer, and watch the territory for the next job.

Enrich appends property, household, mover and finance fields to every lead and customer, written back through Integrations. Pulse watches past customers and unsold estimates for the week they research the next trade you offer or a competitor, and routes the alert to the call center.

  1. Enrich leads and customers with Enrich; the match rate shows first.
  2. Put customers and unsold estimates on Pulse; weekly, who is in market for which trade.
  3. Route through Integrations to the call center and the territory manager; score by property fit and intent heat.
Rung 4 · First year

A regional company with an analyst, or a platform with many brands

Model the next job, score every homeowner, and feed the competitors' shoppers.

Join enriched property fields and identified Website ID visitors to booked jobs and ticket size, fit a propensity model per trade, and score every homeowner in every territory monthly by API. Seed Ad Audiences with the top decile; mail it; scope a Custom Intent Feeds feed on your trades, your brands and the competitors by name.

  1. Train per trade: year built, dwelling type, years in home, income band and topic recency carry most of the signal.
  2. Score monthly by API or through the MCP server; refresh audiences, mail and suppression together.
  3. Build the Custom Intent Feeds feed to a written scope: trades, brands, competitors, territories.
Rung 5 · At scale

A national platform, a franchisor, a manufacturer with a dealer network

License the graph into the warehouse and run every territory on one household key.

Enterprise delivers the graph on a schedule to the warehouse, resolves brands, territories and franchisees to one household, runs matching with manufacturers and media partners in the Clean Room, and streams audiences to The Trade Desk integration for CTV. Franchisees and dealers pull territory audiences and mail under the brand. A proof of concept on your customer file comes first.

  1. Proof of concept: the customer file against the graph, match rate and coverage reported.
  2. Scheduled warehouse delivery; one household key across brands and territories.
  3. Clean-room measurement; franchisee and dealer programs under your brand.

What home services teams use it for

What contractors, franchisees and platforms run on the graph.

In-market homeowner lists by trade

Property fields that need your trade plus this week's research, with validated phones and do-not-call flags.

Carrier-route mail

Every household on the routes you pick, or only the matching homeowners, in the home within a week and matched back to jobs.

Customer suppression

Past customers and current jobs excluded from acquisition spend.

Who read the financing page

Households on the site last night with their property fields, routed to the call center.

Cross-sell monitoring

Past customers researching the next trade you offer, routed weekly.

Unsold-estimate recovery

Estimates that went cold and are researching again this week.

Commercial and property management

Property managers, facilities leads and HOAs with the people who buy, phones validated.

Solar and remodel audiences

Single-family homeowners in the right value and income bands, researching solar or remodels, hashed to Meta and YouTube.

Competitor feeds

Households researching the competing brand by name, delivered daily.

Propensity models per trade

A model trained on booked jobs, scored monthly across every territory.

Franchisee programs under the brand

Territory audiences and mail for franchisees and dealers under your brand.

Use it right

Do-not-call checked, non-FCRA, and honored opt-outs.

What applies when the buyer works on homes. Your counsel decides; this is how the data behaves.

  • Calling and texting. Every phone carries a do-not-call flag and a line type. TCPA consent for texts and autodialed calls is yours to obtain; most call centers dial only the numbers that clear the flag.
  • Non-FCRA. Finance fields are modeled marketing data. They size an audience; they never decide financing for a job.
  • Property data. Property fields come from public records and deed data joined to the person and are used for marketing; your counsel confirms any state-specific limits.
  • Hashed audiences. Audiences and suppression lists reach the platforms as SHA-256 hashes; your customer file is matched, never shared.
  • Opt-outs honored. People who opt out through datamoon.com are removed from every product and from pulled records on the next refresh.

Questions

Questions a contractor asks first.

Which property fields can I select on?

Ownership, dwelling type, year built, home value, lot and pool fields, years in home and the new-mover flag, among about 250 household and property fields; the sample shows them before you pull.

How fresh is in-market intent?

Topics are scored daily. A homeowner who researched roof replacement yesterday is in today's pull; one who stopped weeks ago is not.

Can I call the list?

The list carries a validated phone with line type and a do-not-call flag. Call the numbers that clear the flag and keep your own consent records for texts and autodialed calls.

Does it work with ServiceTitan or GoHighLevel?

GoHighLevel, HubSpot and Salesforce through the integrations; ServiceTitan and others through exports or the API.

What does an enterprise engagement look like?

A proof of concept on your customer file, then scheduled delivery of the graph into the warehouse, identity resolution across brands and territories, clean-room measurement, and franchisee programs under your brand, on an annual contract.

Other industries

The same graph, a different ladder.

Book a free demo

Bring three zip codes and your trade. We count the in-market homeowners on the call.

Thirty minutes: your territory as a segment with the property fields that matter, this week's in-market homeowners, a sample with validated phones, and the next rung written down.

Book a free demoSee how it works

Thirty minutes, live on your own data. A person who knows the products and this industry runs the call. By continuing you accept the DataMoon terms.