From Aryan Vatsa | Product & Market Analysis
Clay vs Apollo vs ZoomInfo: What One Verified Contact Actually Costs
On this page
One enriched contact record costs between $0.02 and $1.12 on published list prices. That is a spread of roughly 56 times, and almost none of it is data quality. It is metering. Apollo bills the seat, Clay bills the depth of the waterfall, and ZoomInfo publishes no price at all. This post does the Clay vs Apollo vs ZoomInfo arithmetic from primary sources, then shows where the arithmetic stops working.
Key takeaways
- ZoomInfo wrote off $650.5 million of goodwill in a quarter it grew 1.2%. The write-down is 2.1 times a single quarter of revenue, and net revenue retention sat at 89%, meaning the average account shrank.
- Published list prices put one enriched record between $0.02 and $1.12. The cheap end is Apollo on a single seat. The dear end is Clay running a deep multi-provider waterfall on its Growth plan.
- Each vendor meters a different thing, which is why the comparison feels rigged. Apollo charges per seat with a fixed org-wide credit pool. Clay charges per lookup. ZoomInfo charges what it negotiates.
- All three now ship an agent interface, and it changed nothing about the data. Clay, Apollo and ZoomInfo each expose an MCP server, so the remaining switching cost is contractual rather than technical.
The short answer. Apollo is cheapest per record for teams under five seats, because its credit pool is org-wide and its price is per user. Clay is cheapest per record only when your waterfall is shallow. ZoomInfo is not priced per record at all, so buying it on cost per contact is a category error.
What "cost per verified contact" actually measures
The phrase gets used as if it were one number. It is three numbers multiplied together, and vendors publish them separately or not at all.
Cost per verified contact is your annual platform spend, divided by the records you pull, divided again by the share of those records that survive verification. Every buyer comparison you will read online stops at the first division.
The three variables, and who publishes which
The first variable is list price. Clay and Apollo publish theirs. ZoomInfo does not, and says so through its sales process rather than on a page.
The second is consumption. Apollo publishes an annual credit allowance per plan. Clay publishes a monthly Data Credit and Action allowance. Neither publishes how many credits a typical enriched row consumes, because that depends on what you ask for.
The third is the verification rate, and nobody publishes it in a form you can check. That gap is the single largest weakness in this entire category, and it is why the section headed where this is weakest is longer than usual.
What each vendor publishes, and what it withholds
Start with the documented facts before any arithmetic. This table contains only things the three companies state themselves.
| Disclosure | Clay | Apollo | ZoomInfo |
|---|---|---|---|
| List price on a public page | Yes. $167 to $446 per month on annual billing | Yes. $49 to $119 per user per month on annual billing | No. Quoted per organisation |
| Metered unit | Data Credits plus Actions, two separate currencies | Credits, pooled across the whole account | Consumption credits, allowance not published |
| Own database size | None. Brokers 150+ third-party providers | 240M+ contacts, per its MCP documentation | 100M companies and 500M contacts |
| Accuracy claim | None published | 97% email accuracy | None published |
| Independent audit of that claim | None published | None published | None published |
| Agent interface | MCP server for enrichment and waterfalls | MCP server, OAuth 2.0, 50+ actions | GTM.AI, with native Claude and Codex integrations |
Every cell is sourced to the vendor's own page or filing. Apollo's own comparison page dated 13 May 2026 says 230M+ people, while its MCP documentation updated 21 August 2026 says 240M+ contacts. Both are Apollo's numbers, four months apart, counting slightly different objects.
Read the last two rows together. Three companies make competing coverage claims, none of them audited, and all three now hand those claims to an autonomous agent through the same protocol. That is the actual state of the market.
Apollo prices the seat, not the record
Apollo publishes four tiers on annual billing. Free is $0 with 900 credits a year. Basic is $49 per user per month with 30,000 credits. Professional is $79 with 48,000 credits, and Organization is $119 with 72,000 credits and a three seat minimum.
The credit allowance is annual and account-wide. The price is per user. Those two facts pull in opposite directions, and the tension is the whole story.
The credit pool does not grow with the team
Add a seat and your bill rises. Your credit allowance does not move. So the effective cost of a record is a function of headcount, not of data.
| Seats | Annual cost | Credits included | Cost per credit |
|---|---|---|---|
| 1 | $948 | 48,000 | $0.020 |
| 3 | $2,844 | 48,000 | $0.059 |
| 5 | $4,740 | 48,000 | $0.099 |
| 10 | $9,480 | 48,000 | $0.198 |
Calculated from Apollo's published annual-billing rate of $79 per user per month and its stated 48,000 credits a year on Professional. Assumes no credit top-ups, which most teams at the higher seat counts will buy.
A ten person team pays ten times per record what a solo operator pays, for identical data. I do not think that is predatory, and I do think it is worth naming, because it is the same seat logic the rest of software is currently walking away from.
Past ten seats the two paid tiers converge
Run the same sum on Organization. At ten seats it costs $14,280 a year for 72,000 credits, which is $0.198 a credit. Professional at ten seats is $0.198 a credit.
The tiers land on the same effective rate. So above roughly ten seats the tier choice stops being an economic decision and becomes a feature decision about dialers, mailboxes and single sign-on.
Clay prices the waterfall, not the record
Clay overhauled its pricing in March 2026 and now bills in two currencies. Data Credits buy data from its marketplace of providers. Actions measure the orchestration work the platform performs.
The published self-serve tiers are Launch at $185 a month, or $167 on annual billing, with 2,500 Data Credits and 15,000 Actions a month. Growth is $495 a month, or $446 on annual, with 6,000 Data Credits and 40,000 Actions. Clay's page states that Data Credits "start at $0.05 each" and Actions at less than a cent.
Two currencies, and only one of them scales with your data
Actions are cheap and generous. Data Credits are the binding constraint, because every provider lookup consumes them.
Work out the implied rate on the published tiers. Growth on annual billing is $5,352 a year for 72,000 Data Credits, which is $0.074 a credit. Launch is $2,004 for 30,000, which is $0.067. Both sit above the $0.05 headline, because that floor is an at-scale rate rather than a self-serve one.
This is the honest reading, not a trap. Clay says credits get cheaper as you grow and the published tiers show exactly that gradient. Anyone budgeting from the $0.05 figure on a Growth plan will still be about 50% short, which is the same category of surprise covered in the piece on why credit pricing keeps confusing buyers.
One row costs between 7 cents and $1.12
A Clay row is not one lookup. A waterfall queries providers in sequence until one returns a result, and each attempt that returns data consumes credits. Add an AI research step and the count rises again.
So the useful output is not a price. It is a sensitivity table.
| Credits consumed per row | Rows per year within allowance | Cost per row | Typical configuration |
|---|---|---|---|
| 1 | 72,000 | $0.074 | Single provider, email only |
| 3 | 24,000 | $0.223 | Short waterfall across three sources |
| 6 | 12,000 | $0.446 | Waterfall plus a mobile number attempt |
| 15 | 4,800 | $1.115 | Waterfall plus AI research and summarisation |
Calculated from Clay's published Growth rate of $446 a month on annual billing and 6,000 Data Credits a month. Credits per row is the variable, not a Clay-published figure. Clay states that unused enrichment attempts are not charged, so shallow waterfalls that miss cost nothing.
One consequence deserves stating plainly. Clay converts a coverage problem into a cost problem. If a record exists at any of its 150-plus providers, Clay will find it, and the deeper the waterfall runs the more that record costs. A legacy database does the opposite, charging a flat negotiated fee and returning nothing when the record is absent.
That is the real difference between a data moat and a workflow moat, and it is the same distinction examined in the analysis of which moat actually holds.
ZoomInfo publishes no price, so derive one
ZoomInfo quotes per organisation. Its own comparison-page rivals note that its pricing is not displayed publicly, and that is accurate. But it is a listed company, so the price is recoverable from its filings.
The arithmetic from the Q2 2026 results
ZoomInfo reported $310.4 million of revenue in Q2 2026, up 1.2% year over year. It closed the quarter with 1,891 customers at $100,000 or more of annual contract value, down nine on the prior quarter. It stated that 76% of its ACV was Upmarket, and guided full-year revenue to $1.207 billion to $1.217 billion.
Take the guidance midpoint of $1.212 billion. Apply the 76% Upmarket share, which gives about $921 million. Divide by 1,891 accounts. The average large ZoomInfo relationship is worth roughly $487,000 a year.
That derivation has a known flaw. Recognised revenue and annual contract value are not the same measure, so treat $487,000 as an order of magnitude rather than a price list. It is still an order of magnitude that no aggregator's "typical $32,000 contract" headline prepares a buyer for.
The volume that would make it cheap
Now invert it. For a $487,000 contract to beat Apollo's three-seat rate of $0.059 a record, it must deliver about 8.2 million records a year. That is roughly 685,000 records a month.
A three person outbound team working hard consumes maybe 24,000 records a year. The breakeven volume is about 342 times that. No normal go-to-market team is anywhere near it.
So here is my position, stated flatly. Comparing ZoomInfo to Clay or Apollo on cost per contact is not a close call that ZoomInfo loses. It is the wrong test. What the money buys is coverage in regions the challengers thin out, intent data, a compliance posture your legal team will accept, and a vendor your procurement process already knows. Price those, or do not buy it.
Set that against the other side of the market. Clay raised a $100 million Series C at a $3.1 billion valuation in August 2025, and a secondary tender in January 2026 was reported at $5 billion. A tender price is not a primary round and should carry less weight, but the direction of travel is not ambiguous.
The agent era changed the interface, not the data
The reason this comparison feels different in 2026 is that all three vendors now sell to software rather than to a person clicking export.
ZoomInfo made GTM.AI generally available as the API and Model Context Protocol home for agents, and on 11 August 2026 announced a GTM MCP connector for Microsoft Copilot Studio and Dynamics 365. Chief executive Henry Schuck framed the point directly in the Q2 release. Native MCP integrations with Claude and Codex, he said, "ensure that AI agents are grounded in verified, real-time context rather than static, decaying data." That is an argument about freshness, not about price.
Apollo ships an MCP server with OAuth 2.0 and more than 50 actions, and its documentation confirms that enrichment actions consume plan credits. Clay's MCP server lets an agent enrich a record, run a waterfall across providers, or start a batch job.
Three vendors, one protocol, identical verbs. The integration moat is gone, which is the outcome the piece on MCP as an interoperability standard predicted for the layer below.
Two consequences follow, and only one of them favours buyers. Switching cost collapses toward the contract, because rewriting a connector is no longer the barrier. And consumption becomes harder to forecast, because an agent that decides for itself how deep to run a waterfall is a variable-cost process wearing a fixed-cost interface. Get a consumption cap into the paper before signing, using the same discipline as the contract clauses a CFO should insist on.
Where this comparison is weakest
Everything above is arithmetic on published prices. The prices are real and the sums check. The metric in the title still does not fully survive.
The verification rate is the number nobody publishes
Cost per verified contact requires knowing what share of pulled records is deliverable. No vendor publishes that with a stated sample, time window and exclusion list. Apollo claims 97% email accuracy and publishes no methodology behind it.
Without that denominator, every figure in this post is cost per attempted record. Multiply your own measured bounce rate back in. At an 85% deliverable rate, Apollo's three seat cost of $0.059 becomes $0.069, and Clay's three credit row becomes $0.262.
Every public benchmark is published by a competitor
Several 2026 tests circulate claiming to settle this. One found Apollo matching 78% of a 1,000 lead sample against ZoomInfo at 84%. Another put Clay at 95.7% deliverability against ZoomInfo at 83.4%. A third measured Apollo at 68.3%.
Those results contradict each other, and every one of them was published by a company selling a competing data product. That is not corroboration, it is marketing with a spreadsheet attached. I have deliberately not used any of them to compute a cost in this post, and I would not use them to choose a vendor either.
The regional question has the same hole. The claim that legacy databases still win coverage outside North America is widely repeated. As far as I can find, it has never been published with a region-level fill rate by anyone without a stake in the answer. Treat it as an untested prior, and test it yourself.
How to price this on your own data in an afternoon
The comparison you actually need takes about three hours and costs less than a month of any of these subscriptions.
Pull 200 accounts you closed in the last year, in the region you care about. Not a random sample of the total addressable market, because that measures the vendor's marketing and not your pipeline. Run all 200 through each trial or entry tier.
Record four numbers per vendor. Fill rate, meaning the share of the 200 that returned any contact. Credits consumed. Bounce rate after a verification pass. Time to first usable list. Then divide spend by verified records and you have the only version of this metric that is true for you.
One warning about the trial itself. Clay's legacy Starter, Explorer and Pro plans remain available to existing customers indefinitely, and the window to move between them closed on 10 April 2026. If a colleague quotes you a Clay price from last year, they are on a plan you cannot buy, which is the same renewal asymmetry described in the piece on grandfathered pricing.
Frequently asked questions
Is Clay cheaper than Apollo?
Only for very small teams running shallow enrichment. On published annual list prices, Apollo Professional costs $0.020 a credit for a single seat and $0.059 at three seats, while Clay Growth works out at $0.074 a Data Credit. A Clay row that runs a three provider waterfall costs about $0.223. Clay wins on coverage and flexibility, not on headline price per record.
What does ZoomInfo actually cost per year?
ZoomInfo does not publish list pricing and quotes each organisation individually. Work from its Q2 2026 results instead. The guidance midpoint of $1.212 billion, multiplied by the stated 76% Upmarket share, divided across 1,891 customers at $100,000 or more of annual contract value, implies an average large relationship near $487,000. Recognised revenue is not contract value, so treat that as an order of magnitude.
What is the best ZoomInfo alternative for a small sales team?
For teams under five seats, Apollo is the cheapest published route to a contact record, because credits pool across the account while price scales per user. Clay suits teams whose bottleneck is coverage or custom research rather than volume, since it queries more than 150 providers instead of one database. Run both on your own closed-won accounts before deciding.
Do Clay credits and Apollo credits mean the same thing?
No, and assuming they do is the most common budgeting error here. An Apollo credit is broadly one reveal from one database. A Clay Data Credit buys one lookup from one marketplace provider, so a single enriched row can consume several. Clay also bills Actions separately for orchestration work. Compare cost per finished row, never cost per credit.
Does connecting these tools to an AI agent change the price?
It changes the variance rather than the rate. Apollo's documentation confirms that enrichment actions called through its MCP server consume plan credits exactly as the interface does. The difference is that an agent decides how deep to run a waterfall, so consumption becomes far harder to forecast. Set an approval step on credit consuming actions and a hard consumption cap in the contract.
How do I compare B2B data providers on data quality?
Ignore published benchmarks, because almost all of them are produced by competing vendors and they contradict each other. Instead take 200 accounts you have already closed in your target region and run them through each trial. Measure fill rate, credits consumed, and bounce rate after verification. That sample reflects your pipeline rather than the vendor's strongest segment.
Where to start this week
Two things, and the first one is free.
Open your current data vendor's last invoice and divide it by the number of records your team actually used last quarter. Most teams have never calculated that figure, and it is usually several times what the plan page implied.
Then take the 200 closed-won accounts described above and run the trial comparison before your next renewal date, not after the renewal notice arrives. Contract timing is the one variable in this entire market you fully control.
The wider pattern
Credit metering is spreading across the whole software stack, not just sales data. See how usage limits get quietly tightened and why credit pricing is so hard to compare.
References
- ZoomInfo Technologies, Second Quarter 2026 Financial Results, 5 August 2026. Used for revenue, growth, net revenue retention, the $650.5M goodwill impairment, customer counts, Upmarket share, full-year guidance and the Schuck quotation.
- ZoomInfo Technologies, ZoomInfo Data Now Integrated With Microsoft Copilot Studio, 11 August 2026. Used for GTM.AI, the MCP connector and the 100M company and 500M contact figures.
- Clay, Pricing, accessed 26 August 2026. Used for all Clay plan prices, Data Credit and Action allowances, the $0.05 credit floor, rollover terms and the legacy plan position.
- Apollo, Apollo vs ZoomInfo, 13 May 2026. Used for Apollo's published tier prices, annual credit allowances, the 230M people figure and the 97% email accuracy claim.
- Apollo, Apollo MCP documentation, updated 21 August 2026. Used for the MCP action count, OAuth authentication, credit consumption behaviour and the 240M contact figure.
- Crunchbase News, Clay more than doubles valuation to $3.1B. Used for the Series C size, lead investor and valuation.
- Cleanlist, Apollo vs ZoomInfo: benchmark on 1,000 leads, March 2026. Cited only as an example of a vendor-published benchmark, not as evidence.
- Lead411, Email deliverability across 10 B2B data providers, 2026. Cited only as an example of a vendor-published benchmark, not as evidence.
Weakest thing about this source base: no independent, methodologically disclosed measurement of match rate or deliverability exists for any of these three vendors. References 7 and 8 are published by competitors and are cited here as artefacts, not as findings. Every cost figure is therefore cost per attempted record, not per verified record. Prices were read on 26 August 2026 and change without notice.
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