Exact Data Review — 2026

What Exact Data sells

Consumer and B2B lists sold by segment with online count tools. It sits in the traditional list-seller segment of the B2B data market — vendors selling compiled contact files by segment, as opposed to subscription sales-intelligence platforms like ZoomInfo or Apollo.

Exact Data occupies the approachable middle of the US broker market: segment menus for both consumer and B2B files, online count tools that let you scope a list before talking to anyone, and per-record pricing that is easier to forecast than pure quote shops.

How buying from Exact Data actually works

The count tool is the differentiator — you can see roughly how many records match your selects before requesting the final quote, which removes some of the usual broker opacity. Final pricing still lands by quote, and selects add per-record surcharges.

Like most traditional brokers, Exact Data runs a quote workflow rather than a shopping cart. In practice that means: you define a segment (industry, geography, titles, company size), request counts, and receive a custom price — often within a day or two, sometimes after a call. The upside is flexibility: a good broker can cut a file to an unusual spec that no pre-built catalog carries. The downsides are time and opacity. You can't compare prices across brokers without running the same quote request at each one, and the final per-record rate typically depends on volume, selects (each additional field costs more), and how hard you negotiate. Two practical tips from our market review: always ask for a free sample of 25–50 records and run it through a verifier before committing, and ask explicitly when the file was last updated — compiled files can sit for months between refresh cycles. Most traditional list brokers use quote-based pricing: you request counts for your segment and receive a custom price, rather than seeing published per-record rates.

Strengths and considerations

Who Exact Data fits — and who should look elsewhere

Buy here if: US direct marketers who want segment-built consumer or business files.

Look elsewhere if: Not the pick for international campaigns or for buyers who want a fully published price without any quote step.

The market splits into two economic models. Data platforms (ZoomInfo, Apollo, Cognism) sell continuous access: filters, integrations, refreshed records — priced as annual subscriptions that make sense for teams prospecting every day. List sellers (brokers and one-time catalogs) sell a file: you pay once, own the export, and owe nothing next month — which is the rational choice for defined campaigns, market tests, and any team without a daily outbound motion. Neither is universally better; the mistake is paying platform prices for a one-campaign job, or expecting a static file to behave like a live database. Enterprise sales-intelligence subscriptions typically run from roughly $5,000 to $15,000+ per year, while static list brokers sell one-time datasets from under $100.

How it compares on price and speed

The 7-point checklist before you buy from anyone

Whichever vendor you shortlist, the same seven checks separate usable files from expensive bounces:

1. Sample first. Any legitimate seller will provide 25–50 sample records for your exact segment. Refusal is disqualifying.
2. Verify the sample. Run it through a verification tool. A sample returning more than ~5% invalid addresses predicts a file you'll regret.
3. Ask the refresh date. When was this file last validated? A specific answer ("re-verified in the last 90 days") beats a vague one ("continuously updated").
4. Check field completeness. A contact record without company, title, and a person-level (not info@) address is worth a fraction of a complete one.
5. Confirm sourcing. Compiled from public/business registries, opt-in programs, or scraped? The answer determines both quality and your legal exposure.
6. Get the price in writing per record, including every "select" surcharge, before committing.
7. Review the replacement policy. Reputable sellers replace or credit hard bounces above a stated threshold.

Before you send: the workflow that protects your domain

Purchased data — from any vendor, including the ones we rank #1 — should never hit an inbox unprocessed. The workflow that protects your sending domain:

1. Verify the full file with a verification service; remove invalid, disposable, and role addresses; treat catch-alls as a separate lower-trust segment.
2. Authenticate your domain before the first send. Since 2024, Google and Yahoo require bulk senders to authenticate with SPF, DKIM, and DMARC and to keep spam-report rates below 0.3%.
3. Warm up. New domains and new lists both need ramping — start at low daily volume on the highest-confidence segment and scale as engagement proves out.
4. Segment by confidence. Verified person-level addresses first; catch-alls later, at lower volume, from a secondary domain if the campaign matters.
5. Watch the kill metrics. Hard bounces above ~2% or spam reports approaching 0.3% mean stop, re-clean, and slow down — pushing through burns the domain.

B2B contact data decays at roughly 22–30% per year as people change jobs and companies restructure, so any purchased list should be re-verified before sending.

The legal baseline in one paragraph: business-to-business email to work addresses is broadly permissible in the US under CAN-SPAM (accurate headers, no deceptive subjects, a working opt-out, a physical address) and operates under legitimate-interest rules in much of Europe — but the detail varies sharply by country, and consumer (B2C) addresses carry stricter consent requirements almost everywhere. Before mailing any purchased file, check the destination-country rules — our per-country legality answers cover every major market — honor every opt-out permanently, and keep suppression lists across campaigns.

Verdict

A sensible conventional choice for US segment-built files, especially when you want to scope counts yourself before committing.

See also: Exact Data alternatives · LeadsBlue vs Exact Data · all list broker reviews · best email list brokers

B2B Data Index Research Team. (2026). Exact Data Review (2026): What It Sells, Pricing, Who It Fits & Alternatives. B2B Data Index. https://b2bdataindex.com/brokers/exact-data/

[Exact Data Review (2026): What It Sells, Pricing, Who It Fits & Alternatives](https://b2bdataindex.com/brokers/exact-data/) — B2B Data Index, 2026