Data Axle is a United States data compiler that sells the same consumer and business databases through several storefronts rather than one — Salesgenie, Data Axle USA and Exact Data are all Data Axle properties, and all three rank for homeowner lists. That is the fact worth carrying away from this page, because the most common mistake a call center makes when shopping for a homeowner file is not picking the wrong vendor. It is building a shortlist of three vendors that turn out to be one.
This guide is written for the buyer running that comparison: what each door sells and what it prints, what the consumer file says about itself, and which part of the job a compiled household record can and cannot do on a predictive dialer. Whether the Salesgenie seat specifically is the right shape for a floor is a separate argument, worked through in Salesgenie alternatives and priced line by line in Salesgenie pricing; this page is about the company behind it.
Disclosure: Scout Data is our product and we sell homeowner phone files to call centers. Treat that entry as a maker’s pitch and the rest as our honest read of Data Axle’s public pages, quoted as advertised on 22 September 2026. We did not speak to a Data Axle salesperson or take a Salesgenie trial.
Four doors, one file
Data Axle’s own products page names Salesgenie, Audience360, Data Axle USA, Inboxable and SignalFuse. Four of those doors can end with a homeowner file in your hands, and they price the identical underlying data in four different units.
| Door | What it sells | What it prints |
|---|---|---|
| data-axle.com | Data licensing, APIs, audience and identity work, data hygiene, omnichannel campaigns | Quoted. No price appears anywhere on the site. |
| Salesgenie | Self-serve seat on the business and consumer databases, with lead management and a mobile app | $99, $149 and $299 a month for the three plans; exports billed in credits that are not priced |
| Data Axle USA | Mailing and prospecting lists for small businesses | Quoted. The site routes to a sales line rather than a rate card. |
| Exact Data | A catalogue of pre-built consumer and business lists, downloadable as CSV | $0.21 a lead on most lists, printed on the list page |
Pricing and claims on this page are as publicly advertised at the time of writing — confirm current pricing with each vendor, and with our sales team for Scout Data.
The unit is the interesting column. A seat prices the right to look. A catalogue list prices the row. An enterprise licence prices a feed you integrate. None of those is wrong, and a buyer who knows which one they are signing is in good shape. A buyer who quotes all three and thinks they have three quotes is not — the prices will differ, the data underneath will not differ nearly as much, and the cheapest quote is simply the door whose unit happens to suit the order.
What the consumer file says about itself
Data Axle documents its consumer data more openly than most of the category, and the figures are worth quoting exactly. As published on 22 September 2026: 250M+ U.S. consumers and 11M Canadian consumers, 165M+ households, 110M+ homeowners, 250M email addresses, and 300+ consumer attributes. On the business side, verified profiles on 90+ million businesses with over 400 attributes. The sourcing sentence is the one that matters most to a home-services buyer — the file is described as sourced from more than 100 public and proprietary partners, including real estate records, tax assessments and utility connections — and the refresh claim is that it is updated in real time.
Every one of those is a claim about coverage. None is a claim about who answers the phone, and the gap between the two is the whole subject of what a phone match rate means. Read the homeowner figure in particular as an attribute count: it says 110 million rows carry a homeowner flag, sourced in part from assessment and real estate records. It does not say the row is keyed on the parcel, that the name on it is the name on the deed, or that a phone attached to it was matched to that person rather than to the address.
What one company behind three names does to a shortlist
Three practical consequences, in the order a buyer hits them.
- Your bake-off may have one contestant. The standard test — buy a thousand rows from three vendors, dial them in the same hours with the same reps, compare — assumes three independent files. Run it across Salesgenie, Data Axle USA and Exact Data and you have mostly measured three export paths out of one database. Pick one Data Axle door and put the other two slots against genuinely different sources. The protocol for the test itself is in free lead samples: how to test a vendor.
- Suppression does not travel between orders. If two of your suppliers are drawing from the same file, the rows you bought in June can come back in September under another invoice. That is not bad faith on anyone’s part; it is what happens when a dedupe runs inside an order rather than across your history. Keep the cross-vendor file yourself — building a suppression list is the mechanics.
- The cheapest door is a packaging question. At the printed numbers, a floor wanting 25,000 rows once has a $0.21-a-lead catalogue in front of it and a $149-a-month seat with an unpriced credit bill beside it. Which is cheaper depends entirely on the credit price a consultant quotes, and that price is the one line neither public page carries.
Where a household record and a parcel record stop agreeing
Both file types will sell you something called a homeowner. They are not the same object, and the difference shows up on the dialer rather than in the CSV.
A compiled consumer record is keyed on a person inside a household. Home ownership is an attribute on that person, inferred and maintained from many inputs — assessments among them — and the phone on the row belongs to the household as the compiler understands it. A property record is keyed on the parcel: the deed names the owner, the phone is matched by name to that owner rather than to the address, and a home whose owner cannot be matched is dropped rather than filled with a relative or a landline. On an 18,309-parcel Texas pool we measured on 18 August 2026, 79.7% of homes produced a contact whose name matched the deed and 54.6% produced that owner with a live mobile; the remaining 45.4% shipped as nothing.
That last sentence is the trade. A compiled file ships the rows a property file drops, which is why its counts are larger and its price per row lower. Whether that is a bargain depends on what a wrong-party connect costs your floor — a cost that is paid in agent minutes, not in data spend. The arithmetic, with match rate and working-number rate in the denominator where they belong, is in homeowner data cost per record, and the two record types are set side by side in telemarketing lists for home services.
There is a second difference that matters more than it sounds. A parcel record carries what the county knows about the house — when the roof was last permitted, whether a solar system was ever filed, the year built — and that is what a setter’s opening line is made of. A household record carries demographics. Both can be dialed; only one of them tells a rep why they are calling this address today.
Alternatives, by what you are actually buying
- The same file, priced per row and printed. If Data Axle is the file you want, Exact Data is the door that publishes a number and downloads without a call — Exact Data alternatives reads its catalogue, its guarantee and the channel line on its list pages.
- A compiled consumer file from somewhere else. TelephoneLists.biz alternatives covers a portal that sells month to month with its refresh cadence printed, and ListGiant alternatives covers a broker that quotes and guarantees in rows. Either is a real second contestant for a bake-off; another Data Axle door is not.
- A new-mover or new-homeowner file specifically. That segment has its own vendors and its own trade between speed and phones — DataMan Group alternatives reads a broker that prints exactly that trade on its own pages.
- A file built for a pitch about the house. Owner on title, a sourced wireless flag, a dated scrub and the property facts the opener uses. That is the category Scout Data sells into, laid out by vertical in solar call center leads and roofing call center leads.
Whichever you pick, the one question to put in writing to a Data Axle salesperson is the one no public page answers: on the rows you are quoting me, is the phone matched to the named person or to the address, and what share of a delivered file has reached the wrong party on customers’ own dialer reports? The vendors worth buying from will answer it. The script for asking is in how to audit a lead vendor.
Match figures are from our benchmarks page, each with its sample and month.
Frequently asked questions
Who owns Data Axle, and is Salesgenie the same company?
Salesgenie is Data Axle’s self-serve product — Data Axle lists it first among its own products, ahead of Audience360, Data Axle USA, Inboxable and SignalFuse, and the databases behind the seat are Data Axle’s business and consumer files. Data Axle also announced its acquisition of Exact Data on 3 August 2021, in a release still carried on its own newsroom, describing Exact Data as a provider of multi-channel direct marketing solutions; financial terms were not disclosed. So three of the names a call center is likely to shortlist for homeowner lists resolve to one company.
How many homeowners does Data Axle have?
Its consumer data page advertises 110M+ homeowners, inside 165M+ households and 250M+ U.S. consumers, with 300+ consumer attributes and 250M email addresses, as published on 22 September 2026. Read the unit before the size: a homeowner on that file is a person on a household record carrying a homeowner attribute, not a name read off a deed. The number describes how many rows can be selected, not how many of them a dialer will reach.
How much does Data Axle cost?
Data Axle prints no price. As of 22 September 2026 its corporate site carries no rate card and routes enquiries to sales, and Data Axle USA does the same. The two doors that do print a number are Salesgenie, at $99, $149 and $299 a month for its three plans with exports billed in unpriced credits on a twelve-month term, and Exact Data, at $0.21 a lead on most of its catalogue lists. If you want a number before a phone call, those are the two places it exists.
Is Data Axle a good source of phone lists for a call center?
It is a good source of a compiled household file, which is a different product. Data Axle’s consumer file is among the larger and better-documented ones in the category — it names its inputs, including real estate records, tax assessments and utility connections, and it publishes its attribute count. What it is not is a file keyed on the parcel, with the owner read off the deed and a mobile matched to that owner and checked before delivery. A call center dialing homeowners about their roof or their panels is buying the second thing, and should compare the two on wrong-party connects rather than on record counts.