Exact Data Reviews and Pricing Before You Buy a List

Reviews of Exact Data tell you how buying from the company felt: how fast a quote came back, whether the rep listened, how a refund request went. They cannot tell you whether your list will deliver. A review written after one order rarely includes a measured bounce rate, and none can include one taken on the filters you would order.

Exact Data publishes no price list, at the time of writing, and sells on quote. So you work out the real price yourself: cost per usable contact, measured on a random sample before you pay. Then check that the license covers your whole sequence and that each market lets you send.

A note on my angle: my team wins meetings mainly through cold email and LinkedIn, and we never cold call. Nothing below comes from testing Exact Data's files. It comes from the company's own website, the testimonials it publishes, and checks worth running on any bought list. When I checked, Trustpilot shows Exact Data at 4.1 from 246 reviews and notes the company has not invited reviews recently. PissedConsumer shows 1.4 from 20 reviews, mostly complaints about bad data and refused refunds. Read both with the table below in mind.

What can a review of a list broker actually prove?

Treat every review as something to test. The testimonials Exact Data publishes on its own site, which the vendor chose to show, illustrate the pattern. One customer praises an account exec who is "always quick to reply with counts, costs and usually samples to review." Another praises "the turn around time of the data provided." Both describe service, and neither gives a bounce rate. Complaints carry the same limit. A June 2025 review on PissedConsumer says over 1,000 names on a 5,000-name list came back for bad addresses. That is a real failure, but it measures one order, one compile date and one buyer's selects.

When a founder tells me outbound has stopped working, I ask for the list before I read a single email. The email takes the blame because everyone can see it and edit it. The spreadsheet underneath sits unopened, and that is usually where the silence comes from. No subject line I could write would rescue a send to the wrong people at dead addresses.

What does Exact Data actually sell, and who owns it?

On its own website, Exact Data calls itself "a subsidiary of Data Axle" (see Data Axle pricing for that parent's own rates) and claims "15M business contacts and 315M consumer contacts" across postal, phone and email records. Business records can be filtered by job title, company sales, industry and employee count. Its home page also points do-it-yourself buyers to Salesgenie, Data Axle's self-serve list tool.

The license matters most. The site lists "one-time use, multi-use, and unlimited use" options, and that choice limits what you can do after delivery:

• One-time use. A 5-step cold email sequence means five sends to the same person, and a re-send next quarter makes six. Ask whether "one use" means one send.
• Multi-use. Get the exact number of uses and count your steps and re-sends against it.
• Unlimited use. Nothing to count, so compare its price with the other two.

Seat-and-credit databases usually limit who uses the data and how fast you spend credits, rather than how many follow-ups you send. Apollo, for example, says its data is for internal business use only, resale is not permitted, and unused credits expire each billing cycle (Apollo pricing).

How much does Exact Data cost if no price is published?

The site promises "competitive pricing" but shows no figures, so the only Exact Data price is the quote you ask for. A quote counts every record delivered, and you can only use some of them, so compare on this instead:

Cost per usable contact = total price / (records delivered - hard bounces - free-mail addresses - role inboxes - off-target titles)

Count each record once, in the first bucket it fails, so nothing is subtracted twice. Here is a worked example with invented numbers, only to show the arithmetic:

$800 / 2,000 = $0.40 per usable contact, 5 times the 8 cents the quote implied. Compare that result with what contact data costs per contact in database tools. My own planning figure is at least 10,000 people contacted per month to get 30 to 35 booked sales meetings, so the usable count, not the delivered count, tells you how many months a file will last.

How do you test a list sample before paying?

Ask for at least 500 records and run these six steps. Failing any single step is reason enough to renegotiate or walk away.

1. Get a random sample from your exact selects, meaning the filters you order by, such as title, industry and company size. A few hand-picked perfect rows prove nothing. Ask for the compile date of the sample and of the full file. Fail: the vendor will only send a hand-picked sample, or gives no date.
2. Run every address through a verifier such as NeverBounce or DeBounce. I verify every address with one of these before any send and keep bounces under 0.5%. Fail: the invalid share is high enough to wreck the cost per usable contact. Either way, remove every invalid row before any send, so the send itself stays under that 0.5% line.
3. Count free-mail domains (Gmail, Outlook, Yahoo and similar). My suggested line, a working threshold and not a published standard: fail above 5% free-mail.
4. Count role inboxes such as info@, sales@ and office@ against named people. A role inbox reaches whoever sorts the mail, rarely the person who signs. My suggested line: fail above 10% role inboxes.
5. Look up 20 random names on LinkedIn and check their current company and title. My suggested line: fail if fewer than 16 of the 20 still hold the role you paid for. Before counting, I strip vague titles such as Assistant, Manager and Associate. Real decision-makers rarely carry them. I walk through taking a whole file apart in my lead list teardown.
6. Send a small test only from warmed secondary domains, never from your main company domain. Gmail requires all senders to keep spam rates below 0.3% (Gmail sender guidelines), and Yahoo sets the same ceiling (Yahoo Sender Hub). Spam complaints from people who never fit your offer count against the domain you sent from. Fail: any spam complaint, or bounces above the step 2 line.

What should you ask Exact Data before you sign?

Send these questions in one email and keep the reply:

1. If verified bounces on the full file go above an agreed rate, do you refund or replace, and how is that measured?
2. When was each record last verified, and with what method?
3. Which sources compiled the business records I am buying?
4. Which license covers a 5-step sequence plus one re-send within 6 months?
5. May I load the file into my CRM, and what happens to it when the license ends?
6. How do you handle people who opted out, and are they removed before delivery?

If any answer comes back only by phone, or as "it depends" with no number attached, do not buy.

Is it legal to email a bought list in the US, UK, EU, Germany and Canada?

These rules govern the send, whoever sold you the file. This is not legal advice. Both ICO pages warn that their guidance may change because of the new Data (Use and Access) Act.

For Germany, Austria and the Czech Republic we skip cold email without a compliant basis and reach people on LinkedIn instead. For the full legal picture, read whether buying a B2B email list is legal.

Should you buy from a broker, use a database, or build the list yourself?

Published prices at the time of writing are in the table below. Apollo and ZoomInfo publish no dollar figures, and Exact Data quotes per order only.

I choose the third column, because nobody else has checked the list against my buyer profile. A list assembled from several database tools and Sales Navigator, filtered by real titles and verified, beats a scraped one. The worst deal is the cheapest one. Lists bought for little money from freelancers bring low open rates and high bounces.

My rule for brokers: buy only when the sample passes all six steps and the license covers your whole sequence. I want at least 20,000 contacts in a first list, counted after the filters, because I need quantity and quality together. Judge every list by that usable count, never by the headline record count.

If a broker fails that test, use a database (the prospecting databases comparison covers the options) or build the list yourself. If you would rather hand the build to a team that does it daily, that is part of our cold email agency work.

Holding an Exact Data quote and not sure the file will stand up? Send it to me on a call and I will show you the checks I would run on the sample first.