The best homeowner data for a call center is the file that books appointments at the lowest total cost on that floor’s own dialer, and no vendor page, ours included, can tell you which file that is. So this page does not rank vendors. It sets out the criteria we would judge any homeowner file on, groups the vendors by the job each is built for, and gives you a head-to-head you can run on your own floor.
Disclosure: Scout Data is our product and sells homeowner files to call centers. It is not in the vendor groups below; it has its own labelled section near the end, so you can read the rest without it.
How we judged: the method
Every vendor fact below was read on that vendor’s own site in November 2026. Where we could not open a vendor’s site, we name the vendor and say nothing about it. The criteria are the ones a floor manager is paid on, in the order we would weigh them.
| Criterion | Why it matters on a floor | How to check it |
|---|---|---|
| Cost per appointment | The only number that includes wages, the biggest cost you control | (Data + dialer + wages) ÷ appointments set, per source |
| Connects per caller hour | What an hour of wages buys in conversations | Live answers ÷ logged hours, per source |
| Wrong and dead numbers | Hours spent on nobody, or on the wrong person | Disconnected and wrong-party dispositions ÷ dials |
| Owner on title or occupant | Renters and relatives cannot buy a roof, panels or a system | A “not the owner” disposition ÷ live answers |
| Do Not Call handling | Whether numbers arrive flagged, removed, or neither, and when | The scrub date on the file and the share of rows flagged |
| Freshness | Owners sell and numbers change; old rows waste first passes | Disconnected share on the first pass of a new file |
| Filters for your vertical | A solar floor needs different homes from a roofing or HVAC floor | The selects on the order form, not the brochure |
| Willingness to be tested | A vendor sure of its file lets you dial it beside yours | Ask for a sample in your market before you sign |
Two things are left out on purpose: price per record and database size. Neither predicts what an hour on the phones produces. A bigger file does not tell you which homes to call, and a cheaper record that reaches the wrong person costs more by the time it is dialed. The arithmetic is laid out in the skip tracing cost calculator.
The vendors, grouped by the job they are built for
The groups are not grades. Each is the right tool for the buyer it was built for, and most strain on a floor’s criteria only because a floor is a different buyer.
People-data bureaus: Tracers, idiCORE, TLOxp
These platforms resolve one person at a time and return everything known about them. Tracers describes itself as cloud-based investigative and data research software, lists legal, law enforcement, collections, corporate, financial services, government and insurance work among its industries, and offers batch skip tracing. Its footer states that it is not a consumer reporting agency under the Fair Credit Reporting Act. idiCORE and TLOxp are the other platforms in this group; we cover them in idiCORE alternatives and TLO alternatives.
Fit for a floor: excellent for one hard-to-find person, such as a customer who moved mid-install. Strained as a dial list: you bring the homes, the unit is a search, and choosing which of several numbers to dial is left to you. See Tracers alternatives.
Investor tools: PropStream, BatchLeads, DealMachine
These are seats for a person who builds lists. PropStream names investors, wholesalers, landlords, flippers, lenders, agents and brokers as its users and advertises 165+ filters and 20 ready-made lead lists, with skip tracing part of PropStream Connect, which it includes free on its Pro and Elite plans, and a 7-day free trial. BatchLeads describes itself as real estate investing software with free skip tracing, one-click lead lists, 130+ filters and a built-in dialer. DealMachine lists investors, agents, lenders, solar and home services and developers as audiences, and offers driving for dollars and phone and email lookups for property owners.
Fit for a floor: strong filters for investor signals such as equity and absentee owners. Strained when the work is a team’s: someone has to build each list, run the phone lookups and decide which rows to dial first, and seats are priced per person. Our reads are PropStream alternatives, BatchLeads alternatives and DealMachine for call center data.
List brokers and compilers
Compilers assemble a national consumer file and sell slices of it by selects: age band, income model, homeowner flag, ZIP. They are built for volume and for mail as much as for phones.
Fit for a floor: large counts quickly. Strained on owner on title, because a homeowner flag on a compiled file is often modeled rather than read from the deed, and on vertical filters, since the selects describe people rather than houses. How compiled lists reach a floor, often under a reseller’s name, is in telemarketing lists for home services.
Agent seller-lead subscriptions: REDX, Landvoice
Built for real estate agents. REDX sells expired, FSBO, FRBO and pre-foreclosure leads with a power dialer, and flags Do Not Call numbers before a session while stating compliance remains the agent’s responsibility. Landvoice sells daily expireds and FSBOs and says all numbers on the National Do Not Call Registry are indicated.
Fit for a floor: ideal when the floor books listing appointments for agents. Strained outside that, because a listing feed chooses homes by listing status, not by your pitch. See REDX alternatives and Landvoice alternatives.
The groups on one page
| Group | Built for | Who chooses the homes | Where a floor feels it |
|---|---|---|---|
| People-data bureaus | Investigations, collections, legal | You | Several numbers per person; you pick which to dial |
| Investor tools | Investors, wholesalers, agents | You, with their filters | List building and lookups are the floor’s work |
| List brokers | Mass mail and outbound | You, by demographic selects | Owner on title and vertical fit |
| Agent seller-lead subscriptions | Listing agents and their teams | Listing status | Only fits a listing pitch |
How to run a fair head-to-head on your own dialer
- Ask each vendor for a sample in your own market, built to the spec you would actually buy. A national demo file tells you nothing about your ZIP codes.
- Stamp the source on every row at import, and never merge files before the test ends.
- Use the same callers on every source, alternating sources by hour or by day. Splitting by caller measures the callers.
- Add four dispositions if your CRM lacks them: owner reached, not the owner, wrong or disconnected, skipped for Do Not Call.
- Give every source the same number of passes, at least three, before you judge it.
- Record the scrub date of every file you dial, whoever did the scrub.
- Fill in the criteria table above for each source, starting with cost per appointment.
- Do not judge on deals. A sample is big enough to measure connects and wrong numbers and far too small to measure sales.
What good looks like on each line, and how to tell a fair sample from a cherry-picked one, are in what is a good contact rate and free lead samples: how to test a vendor. Hygiene before import matters as much as the vendor; list hygiene for call centers covers it.
Where Scout Data fits (our product)
Scout Data sells homeowner files to call centers that sell solar, roofing, HVAC and other home services, and to agents’ calling teams. The others above tell you who lives at an address. Scout Data tells a floor which homes to call, whether the person on the row is the owner on title, and whether the mobile is live. Homes are chosen for your pitch, such as a recent storm, an ageing roof or a new owner, with a mobile matched by name to the owner on title, scrubbed against the Do Not Call registry before delivery, and dead numbers replaced.
Where it does not fit: finding one specific person (use a bureau), listing leads for agents the morning they drop (use a seller-lead subscription), or an investor’s own list building (use an investor tool). It is not self-serve and there is no instant download: you get a free sample of your market by text, and a file is arranged on a short call. Hold it to the same head-to-head as everyone else on this page.
Vendor claims on this page are as publicly advertised at the time of writing (November 2026). Confirm current products and pricing with each vendor, and with our sales team for Scout Data.
Frequently asked questions
What is the best homeowner data for a call center?
The best homeowner data for a call center is the file that books appointments at the lowest total cost on that floor’s own dialer, with the same callers and hours. It cannot be read from a vendor’s page. Pick two or three vendors whose job matches yours, run each beside your current list, and compare cost per appointment, connects per caller hour, wrong and dead numbers, and how often the person who answers is the owner.
Why does this page not rank the vendors?
Because the ranking that matters depends on your offer, your market and your dialer, and because Scout Data sells homeowner files and would be ranking itself. The page groups vendors by the job each is built for, states the criteria, and puts Scout Data in its own labelled section.
Should a call center buy data by price per record?
No. A floor pays for caller hours whether they reach an owner or a disconnected line, so a cheaper record that wastes more hours can cost more per appointment. Judge data on cost per appointment and connects per caller hour, measured on your own dialer.
Can a call center use PropStream or BatchLeads?
They can, but both are built for real estate professionals working their own lists: PropStream names investors, wholesalers, landlords, flippers, lenders, agents and brokers as its users, and BatchLeads describes itself as real estate investing software. A floor that uses them takes on the list building and the phone checks itself.