Data Enrichment, Reviewed: Which Tools Can Prove Their Data Is Right, and Which Just Tell You It Is

No vendor paid to be in this review and no vendor can. No sponsors, no ads, no affiliate links, no client data. Every tool below was scored on the same five pillars with the same published weights, and the weights are printed so you can argue with them. I get things wrong, and when I do it goes in a corrections log that ships beside the issue. Read me skeptically. That is the point of me.

Two things I planned to print this week did not survive checking, and I would rather tell you that than quietly publish them. A peer-reviewed study on B2B data accuracy turned out to be measuring advertising audience segments rather than enrichment tools, so it is not in here. And the industry's most repeated decay statistic, the one that says your contact data rots at 22.5 percent a year, is not in here either, because I could not establish where it came from and I am not going to print a number I cannot trace.

Here is the number that reframes this market, and it comes from the category leader's own filings rather than from anybody's marketing page.

ZoomInfo reported second quarter 2026 revenue of $310.4 million, up 1.2 percent year over year. In the same quarter it recorded a goodwill impairment of $650.5 million, producing a net loss of $643.7 million. Net revenue retention sat at 89 percent as of June 30. In May it cut roughly 600 roles, about a fifth of its headcount.

Read net retention of 89 percent slowly, because it is the whole story. It means the average ZoomInfo customer who stayed a customer spent about eleven percent less this year than last. Not customers who left. Customers who stayed.

Now set that beside what this category tells you at the top of every pricing page: your data is decaying, your reps are flying blind, and you need to buy more coverage. The companies selling that urgency are, by their own audited filings, being bought less by the people who already believe them.

Something is being repriced here, and it is not the data. It is the seat.

Same five pillars, same weights as every other issue, retuned in wording for what actually matters when you are buying data rather than software.

AI-native vs. bolted-on (30). Is the intelligence the architecture, or a tier sold above the thing you already pay for?

Accuracy you can verify (25). Does the vendor publish anything a buyer could check, or only numbers it generated about itself?

Integration and workflow fit (20). Does it land inside the system where the work happens, or does somebody have to move a CSV?

Coverage and unit economics (15). What do you actually get per dollar, and can you find out before a sales call?

Trust and governance (10). What is disclosed, what is dated, and does the company contradict itself on its own site?

Scores below are my framework-based read of each tool's public positioning and category archetype, not lab-tested benchmarks. A map, not gospel.

The Databases. ZoomInfo, Cognism, Lusha, Seamless. They own records and sell you access to them, priced per seat. All four have now shipped an agent surface or an MCP server, which sounds like an upgrade and is actually a demotion: each one is volunteering to be the pipe behind somebody else's assistant. ZoomInfo sells Copilot as a tier above its base product, and that structure is the tell. If the AI were the architecture it would not be a SKU.

The Waterfalls. FullEnrich is the only genuine one here. It chains twenty-something providers in sequence and bills only on a hit, which is a fundamentally more honest unit than a seat. It also tells you its own bounce rates by status, including the ugly ones: catch-all addresses bounce 26 to 40 percent of the time. Almost nobody else publishes a number that unflattering.

The Finders. Hunter, Findymail, Prospeo, Datagma. One job, done at a price you can see without talking to anyone. This bucket contains both the most honest vendor in the category and the least careful, and the difference between them is entirely about what they claim.

The Canvases. Clay and Unify. You compose the logic and they execute it, which means the enrichment strategy becomes something you build rather than something you pick off a menu. Clay will fail over from one data provider to a competitor mid-row. No database vendor will ever let you do that, because the whole point of a database vendor is that you use theirs.

The wrinkle: the Scorers. Keyplay, Ocean.io, Common Room and Pocus do not really sell contacts at all. They sell judgment about which accounts deserve attention. Keyplay's version was the sharpest idea in this review: a scoring model you can backtest against your own closed-won history and then inspect field by field, which is the opposite of the black-box fit scores everyone else ships.

Three of those four no longer exist as independent companies.

Verdict band: 90+ buy with confidence, 75 to 89 strong with caveats, 60 to 74 situational, under 60 skip or wait. (Framework-based read of public positioning, not lab-tested benchmarks.)

All seventeen, in order.

Clay (83). Strong with caveats. The only tool shipping weekly with dates on it. Publishes a number that argues against its own product.

Apollo.io (77). Strong with caveats. The one incumbent that publishes real prices and bundles its assistant free instead of selling it as a tier. Bought Pocus in March.

Unify (77). Strong with caveats. Ships its agent into Claude and ChatGPT, which means it is willing not to be the interface. Its changelog has been quiet since June.

Hunter.io (74). Situational. Claims nothing it cannot prove, prices everything in public, unlimited users on every plan. Boring, and the most trustworthy thing here.

FullEnrich (69). Situational. A real waterfall that bills on hits and publishes its own ugly bounce numbers. Its changelog stopped in November 2024 while the company kept shipping.

Common Room (69). Situational. Resolves a person across community surfaces no contact database can see. Acquired by Zoom in July, terms undisclosed.

Cognism (66). Situational. Good European mobile coverage, dated changelog, and no price you can see without a call.

HubSpot Breeze Intelligence (65). Situational. The clearest pricing in the category. Enrichment and the AI features bill separately, which tells you they are separate systems sharing a brand.

Lusha (63). Situational. Ships its API faster than anyone here. Presents as self-serve and still renders no price.

Keyplay (63). Situational. Backtested, inspectable scoring, which nobody else offers. Acquired by Inflection.io in March, terms undisclosed.

Findymail (62). Situational. The only vendor with a refund attached to its accuracy claim. One published tier and nothing above it.

ZoomInfo (60). Situational, one point off skip or wait. The most complete database here, sold with no public price, an AI upsell tier, and filings that say its own customers are spending less.

Ocean.io (58). Skip or wait. A genuinely different idea, classifying companies by what they do rather than by industry code. No funding found since January 2022 and no product cadence visible from its own site.

Seamless (56). Skip or wait. Now powers HubSpot's prospecting agent. No changelog anywhere in its footer, nav or docs, and no funding confirmable from any named outlet.

Pocus (55). Skip or wait. Warehouse-native usage scoring, which was a real edge. Last product post September 2025, acquired by Apollo in March.

Prospeo (54). Skip or wait. Largest review base in its bucket. Its widely quoted 98 percent accuracy figure does not appear on any page the company owns.

Datagma (53). Skip or wait. Claims both "Top 3" and "number 1" mobile coverage in two places on the same page, and lists different prices on three of its own properties.

Nothing in this category earned a buy with confidence, and the reason is the same for all seventeen.

Every accuracy test in this category was published by somebody selling into it. I went looking for one independent head-to-head comparison of enrichment providers. I found twenty tests and every single one was published by a vendor in the category. Two of them, Findymail and Datagma, attribute their accuracy figures to a third-party "Clay benchmark." Clay resells both of those providers inside its own waterfall. I could not locate the benchmark itself on any page Clay owns. This is not one vendor behaving badly. It is a category where the only evidence available is produced by people with an interest in the answer, and where buyers have quietly accepted that.

The one vendor publishing no accuracy number is the one you can trust most on accuracy. Hunter.io states no match rate, no bounce percentage, no coverage figure anywhere I could find. In any other category that would be an omission. Here it is the only honest position available, and it is a large part of why Hunter lands at 74 while better-funded tools with bigger claims land lower. The runner-up on this axis is Findymail, which publishes a bounce guarantee with a remedy attached: under 5 percent or your credits come back. That is the only falsifiable commitment anyone in this category makes. A percentage with no consequence attached is marketing. A percentage with a refund behind it is a product claim.

Stacking providers buys you far less than the stacking vendors imply. Clay's own post on waterfall enrichment walks through a hundred-prospect test: the first provider returned 30 mobile numbers, the second returned 35, and 30 of that second set were numbers the first one had already found. Five net new records out of a hundred, from a second paid provider. I am citing that number precisely because Clay sells the waterfall and published it anyway. It is the most useful figure in this review and it argues against buying more tools.

If you are buying today, the honest guidance is narrower than this category wants it to be.

Buy the finder, not the platform, unless you have a specific reason not to. Hunter and Findymail cost a fraction of a seat-based contract, publish their prices, and do the one thing you actually need. Add FullEnrich when single-source coverage genuinely fails you, because it bills on hits rather than seats and the waterfall is real. Reach for Clay when your ICP logic is strange enough that no menu covers it, and understand that you are buying a build, not a tool: buyers on Vendr report a median Clay contract of about $60,000 a year, which is nearly double the median ZoomInfo contract and roughly three times the median Apollo one. Clay leads this review on merit, and it is also the most expensive way to solve a problem most teams do not have.

And before you renew anything here, run the test the category will never run for you. Pull a hundred records you already paid for, check the titles against LinkedIn by hand, and count. It costs an afternoon and it will tell you more than every accuracy page in this issue put together.

The bigger pattern. In Issue #006 I scored revenue forecasting tools on one question: do they beat a good spreadsheet and an honest pipeline review, or just make the same guess look more expensive? This category has the same shape and a harsher answer. Forecasting tools at least produce an output you can check against reality next quarter. Enrichment tools produce an output almost nobody checks at all, which is precisely why the claims have been allowed to drift this far from anything testable. Four of the seventeen tools here were acquired inside seven months, every deal with terms undisclosed, and one of them was bought by another tool in this same review. When a category consolidates that fast while its leader writes off $650 million, the thing being consolidated is usually not the technology.

Chili Piper, Default, LeanData and the rest promise that the meeting gets booked before the lead goes cold. It is the most measurable category in this whole franchise, which means it is the one where the gap between claim and evidence should be easiest to close. We will see.

GTM Tool Time is an independent review. No vendor pays to be here. Reply and tell me which category to tear down next.

Marty

Marty Berman is the founder of Scalient IQ, a GTM signal intelligence platform. GTM Tool Time is editorially independent of it. No client data is used in any review, no vendor pays to appear here, and every score runs on public information only.

See the full data enrichment directory and the scoring rubric at gtmtooltime.beehiiv.com.