· Content Plan · Data as of Sep 22, 2026 · ConfidentialBeating pipeline.zoominfo.com
A sample 1v1 comparison page and a sample listicle, both built from publicly verifiable numbers only, plus the exact benchmark data we still need from Clay to make the strong version of this case.
Every claim below is sourced from ZoomInfo's own published article or Clay's own site and FAQ. Clay customer figures are quoted verbatim from public clay.com case studies and linked inline; where a case study does not name the vendor Clay replaced, the page says so rather than implying it was ZoomInfo.
Clay vs. ZoomInfo
ZoomInfo sells verified first-party scale: 500M+ contacts, 100M+ companies, and a GTM Context Graph that fuses that data with CRM, conversation, and behavioral signals. Clay sells orchestration: 150+ data providers chained through a waterfall, AI research agents that fill in what no database has, and fully public pricing. This comparison covers what each platform actually does, not just what each says about itself.
| Capability | Clay | ZoomInfo |
|---|---|---|
| Data sourcing model | 150+ third-party providers via waterfall | First-party verified database, 500M+ contacts |
| Waterfall logic | Sequential, stops at first match | Parallel across 25+ providers, highest-confidence result |
| AI research agents (unstructured data) | Claygent scrapes & extracts custom signals | Not the focus |
| Workflow builder | No-code, fully customizable per record | GTM Studio, provider-managed automatically |
| Conversation intelligence | Not native | Chorus, built-in |
| Published pricing | Public, $0–$495/mo+ | Consumption-credit, quote-based at scale |
| MCP server for agent access | Yes, Clay MCP | Yes, ZoomInfo MCP |
Named customer results, side by side
Clay figures are quoted verbatim from public clay.com case studies and linked to the source page. ZoomInfo figures are the ones ZoomInfo cites in its own lead-enrichment-tools article, reproduced as already summarized in this plan. None of the Clay pages below names ZoomInfo as the vendor it replaced, so each row says who the comparison was against.
| Outcome | Clay (public case study, verbatim) | ZoomInfo (own article) |
|---|---|---|
| Enrichment coverage after moving to a multi-provider waterfall | OpenAI: “More than doubled enrichment coverage from low 40% to high 80%” clay.com/customers/open-ai Previous provider: incumbent not named in the case study.Hex: “Hex saw Clay fill 88% of the data gap left by their previous enrichment provider, and a 7% improvement in total account coverage.” clay.com/customers/hex Described only as their previous enrichment provider, incumbent not named in the case study. | ZoomInfo's article leads with database scale (500M+ contacts, 100M+ companies) rather than a published match-rate or coverage figure. |
| Match rate, several providers vs one | Anthropic: “We've had a 3x better match rate by using a combination of providers through Clay than we had with just our single provider before.” clay.com/customers/anthropic The single provider is incumbent not named in the case study. | Not cited in the ZoomInfo article summarized in this plan. |
| Regional (EMEA) enrichment coverage | Verkada (EMEA): “Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor” clay.com/customers/verkada-emea The vendor is described only as a large incumbent vendor, incumbent not named in the case study.Verkada (EMEA): “By consolidating vendor relationships through Clay's 150+ data source ecosystem, Verkada saw their data coverage increase from 50% to over 80%, even within niche geographies.” clay.com/customers/verkada-emea | ZoomInfo's claimed 135M+ verified phone numbers is a global scale figure; no regional accuracy rate is cited in the article summarized here. |
| Field fill rates (firmographic, technographic) | depthfirst: “Fill rates on key firmographic and technographic fields climbed from 50% to over 95%.” clay.com/customers/depthfirst Baseline provider: incumbent not named in the case study. | Not cited in the ZoomInfo article summarized in this plan. |
| Email deliverability | Verkada (EMEA): “Our previous flow relied on a single vendor and 15% of the ‘validated’ emails still resulted in bounced emails.” clay.com/customers/verkada-emea Previous single vendor: incumbent not named in the case study.Verkada (EMEA): “The multi-source approach eliminated 10% email waste that was previously invisible.” clay.com/customers/verkada-emea | Not cited in the ZoomInfo article summarized in this plan. |
| Pipeline attributed to the platform | Saviynt: “Thanks to Clay's MCP for reps, Savyint has seen 60% of reps book more qualified meetings with a $32.2M increase in pipeline.” clay.com/customers/saviynt (customer name spelled as published on the page)A-LIGN: “$6.8M in total pipeline generated or identified ($4.2M created, $2.6M tagged)” clay.com/customers/a-lignPump: “This allowed Pump to scale from $1M to $25M in 18-months using Clay as their GTM foundation.” clay.com/customers/pump | Sendoso (70% reduction, $4.9M pipeline), as cited by name in ZoomInfo's article. |
| Sendoso, a customer cited by both vendors | Sendoso: “Over $1M in pipeline generated through a combination of personalized outreach and strategic gifting” clay.com/customers/sendosoSendoso: “Sendoso recently implemented Clay to power their outbound motion, and generated $500k of outbound pipeline in the first quarter.” clay.com/blog/sendoso-case-study | Sendoso (70% reduction, $4.9M pipeline). The same customer appears in both vendors' materials; the figures describe different programs and are not directly comparable, so both are presented verbatim. |
| Records enriched at scale | Terrapinn: “Clay enriches Terrapinn's 8-million-record database against those ICPs proactively, layering on firmographics, industry classification, and behavioral signals so that when a marketing manager needs to promote an event, the enriched audience is already waiting.” clay.com/customers/terrapinnHex: “The framework processes 50,000+ contacts through waterfall workflows, replacing their legacy enrichment provider profiles with a multi-dimensional assessment that gives sales and marketing teams the context to personalize every interaction from first touch.” clay.com/customers/hex Legacy provider: incumbent not named in the case study. | ConnectWise (40,000+ records), as cited by name in ZoomInfo's article. |
| Cost of research and prospect acquisition | A-LIGN: “The result: $6.8M in displacement pipeline (with $3.3M closed), 83% reduction in research costs, significant cost savings, 108% net revenue retention, contribution to 40%+ year-over-year pipeline growth, and an organization that now defaults to asking "Can we automate this?" instead of accepting manual processes as inevitable.” clay.com/customers/a-lign Baseline is a manual research contract, not a data vendor.Terrapinn: “Prospect acquisition costs are down 90%.” clay.com/customers/terrapinn | Not cited in the ZoomInfo article summarized in this plan. |
All Clay figures above are listed with full source URLs in the appendix (section 4). Nothing has been rounded or reworded.
Why teams choose Clay over ZoomInfo
Provider-agnostic by design
150+ sources chained per field, not locked to one vendor's coverage gaps. Teams commonly layer Clay on top of an existing ZoomInfo seat rather than replacing it outright.
Public proof: OpenAI: “More than doubled enrichment coverage from low 40% to high 80%” clay.com/customers/open-ai. Previous provider: incumbent not named in the case study.
Agentic enrichment beyond databases
Claygent pulls facts no contact database carries, such as funding news, hiring patterns, and product launches, by reading the open web on a per-record basis.
Public proof: A-LIGN: “Replaced manual research that took six months and delivered 30K basic data points with automated workflows that ran in one month and delivered 450K detailed insights” clay.com/customers/a-lign.
Cheaper to run at volume Placeholder, pending A4
Public tiers from $0 to $495/mo+. No quote call required to understand what a workflow will cost to run at volume.
Draft note, not for publication: this card is written as a cost claim, but it stays a placeholder until Clay supplies ask A4 (cost per enriched record at 1k / 10k / 100k). Today the only public support is the tier list above and Clay's own FAQ line, which has no published methodology. Once the A4 numbers land, the headline becomes a specific cost-per-record comparison. Until then, nothing here asserts "cheaper" as fact.
Why Clay is easier to run
Three ways a team can build in Clay, each stated from clay.com product pages or a public case study as of Sep 23, 2026. No setup time below is a TPC estimate; the quoted minutes are the customers' own words and remain the subject of ask A6 and ask A14 until Clay measures them.
No-code builder for RevOps
Enrichment logic lives in a table a RevOps user can change without an engineering ticket, one column per provider or agent step. Compare ZoomInfo's GTM Studio, where the provider chain is managed for you and cannot be re-ordered per field.
Public proof: AlertMedia: "It only takes about 30 minutes to set up a new workflow." clay.com/customers/alertmedia. A-LIGN: “The speed: Arthur estimates the entire enrichment workflow took about 20 minutes to build.” clay.com/customers/a-lign. Both are practitioner estimates, not a measured cohort (ask A6).
Claygent does the research step
Where a database has no field for the answer, a Claygent agent reads the open web per record and writes the result back into the table, so the "manual research" line item goes away instead of moving to a different vendor.
Public proof: A-LIGN: “Replaced manual research that took six months and delivered 30K basic data points with automated workflows that ran in one month and delivered 450K detailed insights” clay.com/customers/a-lign. Product page: clay.com/claygent ("Build agents for any GTM task"). Accuracy vs a human researcher is still an open ask (A13).
CLI and agent plugin for technical teams
Teams that would rather not click through a UI can build Clay tables, workflows and governance from a coding agent. clay.com describes it as "Build on Clay with any coding agent" and "Build in Clay directly via a coding agent with CLI," with the CLI in open beta on Mac and Linux, plus a Clay MCP server for reps working inside their own AI tools.
Sources: clay.com/agent-plugin · clay.com/mcp · github.com/clay-run/agent-plugins. No usage or adoption figures are public for the CLI; none are claimed here.
Merge: “With Clay I can connect all of it, add a layer of AI, and build a system driving real impact for the team in 10 minutes," he says.” clay.com/customers/merge. This single quote is the only public basis for an "under 10 minutes" line, so it is held back until Clay confirms it from product analytics (ask A14 in the benchmark request).
In fairness
Where ZoomInfo's real strength is the right tool for the job
- You need a single first-party verified database at enterprise scale, without assembling a waterfall yourself.
- Conversation intelligence (Chorus) and org-chart mapping are must-haves, not nice-to-haves.
- Your team wants a managed platform with no workflow configuration at all.
Where Clay's packaging wins
- You want to combine ZoomInfo with dozens of other sources instead of replacing it.
- Your enrichment needs go beyond structured fields into open-web research.
- You want to see exact pricing before committing, and adjust workflows without a vendor ticket.
How to choose
| If this describes you… | Choose |
|---|---|
| You need one first-party database at enterprise scale with no setup | ZoomInfo |
| You want to combine multiple providers and stop paying for coverage gaps | Clay |
| You need enrichment from unstructured, open-web sources | Clay |
| You need built-in conversation intelligence across sales calls | ZoomInfo |
| You want to see full pricing before a sales call | Clay |
Targets the exact query shape (“best lead enrichment tools”) that currently sends AI engines to pipeline.zoominfo.com. Same ten platforms, same evaluation honesty. Clay leads on fit for custom workflows, not on every dimension.
Best Lead Enrichment Tools for GTM Teams (2026)
Ten platforms GTM teams actually put side by side when evaluating enrichment, ranked by fit for teams that want to control their own data stack rather than lock into one vendor's coverage.
Clay Best for custom workflows
Aggregates 150+ data providers through waterfall enrichment, with Claygent AI agents that extract signals no structured database carries. No-code workflow builder means RevOps can change enrichment logic without an engineering ticket.
Public proof points (verbatim from clay.com case studies):
- OpenAI: “More than doubled enrichment coverage from low 40% to high 80%” clay.com/customers/open-ai. Previous provider: incumbent not named in the case study.
- Anthropic: “We've had a 3x better match rate by using a combination of providers through Clay than we had with just our single provider before.” clay.com/customers/anthropic The single provider is incumbent not named in the case study.
- Verkada (EMEA): “Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor” clay.com/customers/verkada-emea. The vendor is described only as a large incumbent vendor, incumbent not named in the case study.
- Saviynt: “Thanks to Clay's MCP for reps, Savyint has seen 60% of reps book more qualified meetings with a $32.2M increase in pipeline.” clay.com/customers/saviynt Customer name spelled as published on the page.
ZoomInfo
500M+ contacts and 100M+ companies as a first-party verified database, with GTM Context Graph fusing enrichment, intent, and Chorus conversation data. Consumption-credit pricing scales with usage.
Apollo
230M+ contacts plus built-in sequencing and AI-drafted outreach in one subscription. The consolidation play for teams that want data and engagement under one login.
Cognism
Phone-verified mobile numbers and GDPR-by-design sourcing, strongest in EMEA coverage.
6sense
Predictive intent and ABM orchestration across display, LinkedIn, and email, ahead of a form fill.
Entries 6–10 (Clearbit/Breeze Intelligence, Lusha, Datanyze, UpLead, Snov) follow the same format, condensed here for length.
The companion "Clay Benchmark Data Request" deliverable segments these asks by buyer scenario and competitor; this section lists them in summary form. Everything above uses only what's already public. These are the specific, citable numbers that would let us make the comparison page and listicle far stronger and, in several cases, directly rebut ZoomInfo's own claims with a real counter-figure instead of a general one.
Match-rate / accuracy by field, apples-to-apples with ZoomInfo's claims
Counters: "500M+ contacts" scale claimZoomInfo leads with raw database size. Clay's actual differentiator is match-rate after running the waterfall. The public FAQ quote claims "double or triple coverage," but the underlying test methodology and sample size aren't public. Need: the real study (sample size, ICP definition, % match by field: email, direct dial, mobile) that quote is based on.
EMEA / APAC phone and email accuracy
Counters: Cognism's EMEA positioningReferenced qualitatively in Clay's own product context ("dramatically improves EMEA phone number accuracy") but with no public number. A real percentage here also helps against ZoomInfo's claimed 135M+ verified phone numbers.
Cost-per-enriched-record at 1k / 10k / 100k record volumes
Directly rebuts the "unpredictable credit costs" negative narrativeThis is the single most-repeated negative theme in Clay's own sentiment tracking (10,340 "seen" on the pricing narrative alone). A real, published cost curve turns a defensive narrative into an offensive one, and gives AI engines a concrete number to cite instead of "can get expensive."
Named customer outcomes with numbers
ZoomInfo cites Sendoso (70% reduction, $4.9M pipeline) and ConnectWise (40,000+ records) by nameClay almost certainly has equivalent stories. Need: 2–3 customers willing to be named publicly, with a before/after metric (bounce rate, time-to-enrich, pipeline generated) that can be cited the same way ZoomInfo cites theirs.
Time-to-first-workflow for a non-technical user
Counters: "requires a GTM engineer" narrativeThe single most consistent negative narrative across every source we pulled is complexity. A real, measured onboarding time (or a template gallery with published setup times) is the concrete counter-evidence, not a marketing claim.
Bounce-rate benchmark by plan tier
One negative quote already cites "10–14% bounce rates when configured properly" and needs a citable sourceThis number is already circulating in AI answers about Clay (per our sentiment tracking) but isn't traceable to a published source. Getting Clay to publish it directly turns an unsourced third-party claim into an owned, citable stat.
Companion request asks not summarized above (numbering follows the Clay Benchmark Data Request), checked against the same 40 public case study pages: A8 incremental fill over an existing seat is partially answered by the Hex, Verkada (EMEA), OpenAI and Anthropic figures quoted in A1, always against an unnamed incumbent; A9 signup and PLG enrichment has Anthropic's “3x’d data enrichment coverage on contact information, firmographics, and more” clay.com/customers/anthropic but no signup-specific match rate; A10 agency multi-workspace proof and A12 Claygent accuracy and template setup times have no public case study evidence and remain open asks.
Every Clay customer figure quoted in sections 1 to 3, copied verbatim from the public clay.com case study page on Sep 22, 2026 (only markdown formatting was stripped; wording, numbers and punctuation are unchanged). None of these pages names ZoomInfo or Apollo as the vendor Clay replaced; where a page compares against a previous or incumbent provider, that provider is unnamed. Spelling of customer names inside quotes is reproduced as published.
| Customer | Verbatim text | Source URL |
|---|---|---|
| OpenAI | More than doubled enrichment coverage from low 40% to high 80% | https://www.clay.com/customers/open-ai |
| Hex | Hex saw Clay fill 88% of the data gap left by their previous enrichment provider, and a 7% improvement in total account coverage. | https://www.clay.com/customers/hex |
| Anthropic | “We've had a 3x better match rate by using a combination of providers through Clay than we had with just our single provider before.” | https://www.clay.com/customers/anthropic |
| Verkada (EMEA) | Enrich accounts using 150+ regional data sources gets 62% better enrichment rate than large incumbent vendor | https://www.clay.com/customers/verkada-emea |
| Verkada (EMEA) | By consolidating vendor relationships through Clay's 150+ data source ecosystem, Verkada saw their data coverage increase from 50% to over 80%, even within niche geographies. | https://www.clay.com/customers/verkada-emea |
| depthfirst | Fill rates on key firmographic and technographic fields climbed from 50% to over 95%. | https://www.clay.com/customers/depthfirst |
| Verkada (EMEA) | “Our previous flow relied on a single vendor and 15% of the ‘validated’ emails still resulted in bounced emails.” | https://www.clay.com/customers/verkada-emea |
| Verkada (EMEA) | The multi-source approach eliminated 10% email waste that was previously invisible. | https://www.clay.com/customers/verkada-emea |
| Saviynt | Thanks to Clay's MCP for reps, Savyint has seen 60% of reps book more qualified meetings with a $32.2M increase in pipeline. | https://www.clay.com/customers/saviynt |
| A-LIGN | $6.8M in total pipeline generated or identified ($4.2M created, $2.6M tagged) | https://www.clay.com/customers/a-lign |
| Pump | This allowed Pump to scale from $1M to $25M in 18-months using Clay as their GTM foundation. | https://www.clay.com/customers/pump |
| Sendoso | Over $1M in pipeline generated through a combination of personalized outreach and strategic gifting | https://www.clay.com/customers/sendoso |
| Sendoso | Sendoso recently implemented Clay to power their outbound motion, and generated $500k of outbound pipeline in the first quarter. | https://www.clay.com/blog/sendoso-case-study |
| Terrapinn | Clay enriches Terrapinn's 8-million-record database against those ICPs proactively, layering on firmographics, industry classification, and behavioral signals so that when a marketing manager needs to promote an event, the enriched audience is already waiting. | https://www.clay.com/customers/terrapinn |
| Hex | The framework processes 50,000+ contacts through waterfall workflows, replacing their legacy enrichment provider profiles with a multi-dimensional assessment that gives sales and marketing teams the context to personalize every interaction from first touch. | https://www.clay.com/customers/hex |
| A-LIGN | The result: $6.8M in displacement pipeline (with $3.3M closed), 83% reduction in research costs, significant cost savings, 108% net revenue retention, contribution to 40%+ year-over-year pipeline growth, and an organization that now defaults to asking "Can we automate this?" instead of accepting manual processes as inevitable. | https://www.clay.com/customers/a-lign |
| Terrapinn | Prospect acquisition costs are down 90%. | https://www.clay.com/customers/terrapinn |
| A-LIGN | Replaced manual research that took six months and delivered 30K basic data points with automated workflows that ran in one month and delivered 450K detailed insights | https://www.clay.com/customers/a-lign |
| Verkada (EMEA) | "We're getting address data with 95% accuracy," | https://www.clay.com/customers/verkada-emea |
| A-LIGN | The cost: The Clay contract cost $10K less than the manual research contract. | https://www.clay.com/customers/a-lign |
| Terrapinn | Across 150 reps, that's translated to a 19% increase in revenue per employee and a 90% reduction in prospect acquisition cost since using Clay. | https://www.clay.com/customers/terrapinn |
| AlertMedia | "It only takes about 30 minutes to set up a new workflow." | https://www.clay.com/customers/alertmedia |
| A-LIGN | The speed: Arthur estimates the entire enrichment workflow took about 20 minutes to build. | https://www.clay.com/customers/a-lign |
| Merge | With Clay I can connect all of it, add a layer of AI, and build a system driving real impact for the team in 10 minutes," he says. | https://www.clay.com/customers/merge |
| Anthropic | 3x’d data enrichment coverage on contact information, firmographics, and more | https://www.clay.com/customers/anthropic |
25 metrics from 13 case study pages. Full extraction (156 records, 38 pages) is in the companion file clay_case_study_metrics.json.