Exact Data alternatives: the price is printed, the guarantee is a badge

Exact Data sells pre-built consumer and business mailing lists from a catalogue of 6,867 of them, at a printed $0.21 a lead on most, with the file delivered as a CSV — and it is a Data Axle company, acquired in an announcement Data Axle still carries on its own newsroom, dated 3 August 2021. The printed price is the reason people arrive at a page like this one. Almost nobody in this category prints one, and a number you can multiply is worth a great deal to a buyer.

So this guide starts from the number and works outwards: what the printed price is attached to, what the “Satisfaction Guaranteed” badge beside it commits to, and what a dialing floor is actually buying when it orders from a catalogue built around postal and email delivery. Every figure below is quoted as publicly advertised on 22 September 2026.

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 Exact Data’s public pages. We did not buy a list or contact the company.

What a list page prints

Six catalogue pages, read the same afternoon. Each one prints a cost-per-lead field, a channel line and, on most, the date the list was last updated.

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.

Around them, the catalogue: the index reads “1–75 of 6,867,” most entries at $0.21, a few at $0.30, and some marked “Call for Count” rather than priced. Two record counts are worth carrying: the American Homeowners By State list shows 137,477,178 records and New Homeowners By Location shows 3,434,969. The sourcing sentence on the list pages is that records are compiled from publicly available sources like bill processors, voter registration and tax assessments, with a broader claim elsewhere of more than 2,000 places including purchase histories, government records and website registrations. The company advertises 315 million consumer contacts and 15 million business contacts overall, and the list pages say there are no hidden fees or long-term monthly contracts, with the CSV available within a few hours.

One thing that single price tells you, before anything else: $0.21 appears on a new-mover list, a mortgage-borrower list and a consumer-email master file alike. A rate that does not move across products with very different acquisition costs is a catalogue policy, not a reflection of what each file cost to build. That is fine — flat pricing is easy to buy against — but it means the price carries no information about the file, and you have to get that information somewhere else.

The price is printed; the guarantee is a badge

Here is the asymmetry at the centre of this page. Exact Data is more transparent than almost all of its peers about what a row costs, and less specific than several of them about what happens when a row is wrong. Across the six list pages, the catalogue index and the dedicated deliverability page, the only guarantee wording we found was a “Satisfaction Guaranteed” badge — no percentage, no remedy, no window in which to claim.

The deliverability page is not empty; it is just describing something else. It sets out an email-validation process in three steps: a syntax check that removes addresses that do not resemble legitimate ones, a check that the domain of the address exists, and an SMTP connection established with the mail server for each address individually. Those are the right three steps and it is good that they are published. They describe work done before delivery. A guarantee describes what is owed after it.

Put four published remedies side by side and the unit is the column that decides everything.

Read the third column as a dialing floor and one thing stands out: not one of those four remedies pays out on the failure that costs a floor the most, which is a live, correct-looking number that rings somebody other than the homeowner on the row. Ours included. A replacement term covers a line that is dead; it does not cover a line that is alive and belongs to a tenant. The honest position for any vendor is to say so, and then to publish what share of delivered rows reached the wrong party on customers’ own dialer reports. On three 25,000-record files a Bay Area solar floor dialed between 31 August and 18 September 2026, agents tagged 3.40% of 14,741 tagged calls as a wrong or dead number. That is the measure to demand, from us and from everyone else; the script for demanding it is in how to audit a lead vendor.

A postal price doing a dialer’s job

The channel line is the detail most buyers skim, and on a phone file it is the whole thing. All six catalogue pages read “Postal, Email.” Telephone data is sold, but from a different page — one that describes reaching consumers on their home, office or cell phone from a database of over 210 million contacts, promises a do-not-call compliant list, and prints no price. So the arithmetic a buyer does on the catalogue page is arithmetic about a mailing list.

That distinction has teeth in three places. A postal record is validated against address standards, which is a solved problem with a published answer; a phone record is validated against line status, ownership and a registry, which is three problems with three answers. A postal failure costs you a stamp; a phone failure costs an agent’s minutes and, if the number is on the registry, a compliance exposure — DNC scrubbing for roofing and HVAC sets out the 31-day obligation that sits with the caller regardless of what any vendor flags. And a postal list can be a household; a dial file needs a person, because the pitch names them. What each field on a homeowner row should actually mean is worked through in homeowner data fields explained.

None of that makes the catalogue a bad buy. It makes the $0.21 a price for a different product than the one a call center came looking for.

Where Exact Data is the right buy

• Direct mail with a known count. A printed cost-per-lead, a printed record count, a CSV in a few hours and no contract is close to an ideal buying experience for a postcard campaign, and postal accuracy is the thing the hygiene process is actually aimed at.
• A niche segment you would otherwise have to build. Nearly seven thousand pre-built lists is a genuine asset. If the segment you want is an unusual one, someone has already defined it and priced it, and you can see the definition before you buy.
• Testing a hypothesis cheaply. Because the price is printed and the order is small, you can buy a segment, mail it, and find out whether the selection theory holds before committing to a quoted enterprise feed from the same parent company.

If the job is a dial file

Three different directions, depending on what is missing.

• You want the same compiled data, other doors. Data Axle alternatives maps which shortlist names resolve to the same company, so a bake-off has real contestants in it.
• You have the addresses and need the numbers. That is an append rather than a purchase, and it prices against what you already hold — skip tracing vs data append sorts which of the two you need.
• You need rows built for the phone from the start. Owner on title, a matched and live mobile, a dated scrub and the property facts a setter opens on. Homeowner phone lists for call centers is the buyer’s-side version of that spec, and it is the category Scout Data sells into.

And take the good habit Exact Data models. Ask every vendor to print a number you can multiply, then ask the second question this page is really about: what does that number buy me back when the row is wrong?

Wrong-number figures are from our benchmarks page, each with its sample and month.

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