b2b-data
Clay
Clay is the right pick when you are running 50–500 account ABM plays per month and want one canvas where RevOps composes data sources, signals, and AI research into a repeatable workflow. It is the wrong pick if you are doing 10K-volume blast outbound—Clay is a research surgeon, not a list-blaster. Credit math also flips against Clay above roughly 10K enrichments per month, where running [n8n](/tools/make-com) or Gumloop directly against [ZoomInfo](/tools/zoominfo) or [Cognism](/tools/cognism) APIs is cheaper. Most teams underestimate the RevOps skill required to keep a Clay workflow stable in production; treat it as a platform that needs a named owner, not a tool reps self-serve.
b2b-data
FullEnrich
FullEnrich is the right pick when you've already decided you want a waterfall and you don't want to pay Clay credit prices to chain providers yourself. The 15-source cascade plus hit-only billing genuinely beats single-source enrichment for hard-to-find mobile numbers and EU contacts, and the API is clean enough to drop into existing Clay tables or n8n flows as a single column. It is not, however, a substitute for Clay or [Apollo](/tools/apollo): there is no list-building, no AI research agent, no sequencer. Buy FullEnrich as a component, not a platform. Series A–B teams running disciplined ABM with [Clay](/tools/clay) as the canvas tend to get the most leverage; pure outbound shops doing 10K-volume blast are usually better served by [Apollo](/tools/apollo)'s bundled data + sequencer.
Operator verdict · reviewed 2026-06-14
Which one should a GTM team pick?
These are not substitutes—Clay is a platform, FullEnrich is a component. The most common 2026 pattern we see is Clay tables doing list-building, signal joins, and Claygent research, with FullEnrich as a single HTTP column for contact resolution. Treat the comparison as 'do we need the canvas at all?' not 'which tool wins.' Teams without a RevOps owner should not buy Clay yet; teams without an orchestration layer should not buy FullEnrich yet. The cost story flips at scale: above ~10K enrichments/month, chaining providers as separate Clay columns burns credits in every column on every attempt, while FullEnrich charges once on a hit. No affiliate on this page.
Summary
The short version
Clay is a workflow canvas that orchestrates 100+ data sources, signals, and AI research into one repeatable ABM motion. FullEnrich is a pure-play contact-resolution waterfall you drop in as one column. Most teams need both; budget assumes only one.
Pick Clay if
You are a Series B+ team running 50–500 account ABM plays per month, want one canvas where RevOps composes data sources + signals + AI research + writeback, and have at least one named GTM Engineer or RevOps owner to maintain the workflow.
Full Clay review →Pick FullEnrich if
You already own an orchestration layer (Clay table, Gumloop graph, n8n flow, or in-house scripts) and want to consolidate per-contact enrichment spend across providers into one credit pool with hit-only billing. Especially compelling when mobile phone match rate or EU coverage is the binding constraint.
Full FullEnrich review →Side-by-side
Decision table
What is the implementation truth for Clay vs FullEnrich?
The best choice depends less on feature checklists and more on workflow fit: which system owns the data, where outputs write back, what humans review, and which metric proves the tool helped the GTM motion.
Clay — typical fit
- Series B+ RevOps or GTM Engineering team running 50–500 ABM accounts/month with custom research
- Named workflow owner (RevOps or GTM Engineer) who can maintain Claygent prompts and provider routing
- Multiple signal sources to join (intent + product usage + community + firmographics) in one canvas
- Existing CRM + sequencer stack (Salesforce/HubSpot + Outreach/Salesloft/Apollo) with clean field ownership
- Budget band: $1,800–$10K/mo Clay subscription plus underlying provider credits
Wrong fit
- Sub-10-rep team that just wants a database and a sequencer in one seat — buy Apollo, not Clay
- Pure 10K+ blast outbound shop where credit math flips negative vs. raw provider APIs through n8n
- Team without a named RevOps owner — Clay workflows rot the week the original builder leaves
FullEnrich — typical fit
- RevOps team that has already chosen Clay, Gumloop, or n8n as the orchestration layer
- Mid-market outbound shop where mobile phone match rate is the binding constraint
- EU- or DACH-heavy ICP where waterfalling Cognism + Lusha + Datagma genuinely beats single-source
- Inbound MQL enrichment job that just needs a verified email before sequence enrollment
- Budget band: under $2K/mo enrichment line item routed through hit-only credits
Wrong fit
- Team that wants list-building, AI research, or sequencing in the same product — wrong category
- Pure US-mid-market email use case where a single-source Apollo seat is already cheap enough
- Stack with no orchestration layer at all — you will end up writing scripts to call the API yourself
Neither if you're…
- You only need a database + sequencer + dialer in one seat — see /tools/apollo
- You need NA enterprise contact depth on senior buyers with a vendor relationship — see /tools/zoominfo
- Your primary unlock is community + product-led signals, not enrichment — see /tools/common-room
Most teams looking at Clay vs FullEnrich are framing the wrong question. These products do not solve the same job. Clay is a workflow canvas that happens to include enrichment; FullEnrich is a contact-resolution utility that does not pretend to be anything else. The honest decision is rarely "which one wins"—it is "do we need the canvas at all, and if we do, are we paying Clay's credit margin to chain providers we could chain cheaper inside FullEnrich's hit-only cascade?"
Typical fit: who each tool is built for
Typical Clay customer
Series B+ RevOps or GTM Engineering team running 50–500 ABM accounts/month with custom research per row. There is a named workflow owner—usually a RevOps lead or a GTM Engineer—who maintains Claygent prompts, picks provider order in the waterfall, and debugs the table when a column breaks. The team joins multiple signal sources (intent from a vendor, community signals from Common Room, product usage piped via warehouse) and writes back into Salesforce or HubSpot plus Outreach or Salesloft. Budget band is roughly $1,800–$10K/mo on Clay itself, plus underlying provider credits.
Typical FullEnrich customer
RevOps team that already runs an orchestration layer—a Clay table, a Gumloop graph, an n8n flow, or in-house scripts—and wants to consolidate per-contact enrichment spend into one credit pool with hit-only billing. Often a mid-market outbound shop where mobile phone match rate or EU coverage is the binding constraint, and waterfalling Cognism + Lusha + Datagma genuinely beats any single source. Sometimes a leaner motion: inbound MQL enrichment that just needs a verified email before Outreach or Instantly sequence enrollment. Budget is usually under $2K/mo on FullEnrich itself.
Neither if you're…
- A 2–25 rep team that just wants a database, sequencer, and dialer in one seat—see Apollo.
- Looking for NA enterprise contact depth with a vendor relationship—see ZoomInfo.
- Building primarily on community + product-led signals, not enrichment—see Common Room.
When Clay wins
Clay wins when the workflow is the product—when the value is in stitching list-building, signal joins, AI research, and writeback into one canvas a RevOps owner controls.
- Composition over individual lookups. A target-account workflow that pulls firmographics from one provider, tech stack from another, recent funding from a third, intent from 6sense, product usage from Amplitude via warehouse, and Claygent-drafted openers off LinkedIn jobs pages cannot live in FullEnrich. The system view is wide: input = a 200-account ICP list, AI step = Claygent classification + opener draft per row, human review = SDR samples 20 outputs before scale-out, writeback = Salesforce custom fields plus Outreach sequence enrollment, metric = reply-rate delta vs. control on the same ICP. See the SDR account research playbook for the discipline pattern.
- Scheduled signal-triggered runs. A weekly job that listens for "job posting changed for Director of RevOps" across the top 500 target accounts, enriches contacts, and posts to Slack does not have a clean FullEnrich-only path.
- Per-row LLM research with provider context. Claygent rows that consume the enriched fields from earlier columns and write a custom-fit summary per account are Clay's wedge. FullEnrich does not have an AI research agent.
If your job needs more than two of: list-building, AI research, signal joins, multi-step writeback—Clay is doing real work for the credit margin.
When FullEnrich wins
FullEnrich wins when the enrichment job is contact resolution and you already own an orchestration layer.
- Hit-only billing on a cascade you would otherwise chain inside Clay. Inside Clay, each provider column burns credits on every attempt—hit or miss. FullEnrich charges once per matched contact across its 15+ provider cascade. On lists with strong inputs (LinkedIn URL + current company), the effective $/verified-contact tends to undercut a Clay-built waterfall.
- EU mobile and DACH coverage. Phone data accuracy varies sharply by region; FullEnrich's cascade through Lusha, Cognism, Datagma, and others is roughly the same set EU-focused Cognism buyers tap directly. If EU mobile is the binding constraint, the waterfall earns its keep.
- Pure inbound MQL enrichment. A new form fill triggers a webhook, hits FullEnrich, writes a verified email back to HubSpot before Outreach enrollment. Nothing in this flow needs Claygent; nothing needs a spreadsheet canvas.
System view on a FullEnrich job: input = LinkedIn URLs or partial CRM records, AI step = waterfall routing logic (not generative), human review = RevOps validates aggregate match rate and tunes provider order, writeback = CRM contact fields, metric = cost-per-verified-contact and false-positive rate on email validation.
When you need both
This is the most common 2026 pattern we see in ABM-heavy stacks, and the documentation usually undersells it.
The wiring: Clay tables run the list-building, signal joins, and Claygent research. A single HTTP column in the same Clay table calls FullEnrich for contact resolution. The enriched contact lands back in the same row and rides downstream into Salesforce and an Outreach sequence. You pay Clay credits for the orchestration and research; you pay FullEnrich credits only on a contact-resolution hit. The math typically beats running every provider as a separate Clay enrichment column.
For the integration handshake, see the CRM enrichment use case and the SDR list-building playbook. For broader AI-led research flows, see AI account research. The AI SDR outbound use case covers the downstream sequencer hand-off.
The trap on "both" stacks: nobody owns the cost report across two billing surfaces. Pick one operator to model effective $/meeting against both invoices monthly.
Pricing and per-account math
Clay starts free, with Starter around $149/mo (~2K credits), Explorer around $349/mo, Pro around $800/mo, and Enterprise custom.[1] Credits are consumed per enrichment lookup and per Claygent run; cost-per-credit varies by underlying provider routed through the waterfall. Clay has repriced tiers more than once—confirm credit allotments on the live page.
FullEnrich market reports place Starter around $29/mo and Enterprise around $1,950/mo, billed only on a successful match across the 15+ provider cascade.[2] Hit-only is the headline differentiator versus Clay's per-attempt credit model.
Per-account math sanity check (illustrative, not invented dollars): if you enrich 10K contacts/month at a realistic 50% aggregate match rate, FullEnrich charges roughly 5K credits (one per hit), while a Clay-built waterfall chaining four providers as separate columns charges 4× per attempt regardless of hit—closer to 40K credit-attempts. Run the comparison on your own list match rate before committing annual on either side. The crossover is rarely about list size; it is about whether you also need Clay's workflow surface.
For ABM teams that already pay for Clay anyway, FullEnrich-as-a-column tends to be additive, not substitutive—Clay credits drop on the columns you replace, FullEnrich credits rise only on hits.
Feature overlap and gaps
Both tools route through similar underlying providers. The wedge is everything around contact resolution.
| Capability | Clay | FullEnrich |
|---|---|---|
| Waterfall contact enrichment (email + phone) | ✅ via 100+ source integrations | ✅ 15+ provider cascade, hit-only billing |
| Hit-only billing across the cascade | ❌ credits burn per attempt | ✅ headline pricing model |
| Spreadsheet workflow canvas | ✅ core surface | ❌ |
| AI research agent (per-row LLM steps) | ✅ Claygent | ❌ |
| List-building from search criteria | partial (via integrated providers) | ❌ |
| Signal joins (intent, community, product usage) | ✅ | ❌ |
| Native CRM writeback (Salesforce, HubSpot) | ✅ | ✅ |
| Native sequencer writeback (Outreach, Salesloft, Apollo) | ✅ | partial (via CRM hand-off) |
| Scheduled / triggered runs | ✅ | partial (via API + scheduler) |
| Used as a Clay HTTP column | n/a (host) | ✅ common 2026 pattern |
| Enterprise governance (SSO, audit logs) | ✅ | partial—younger product |
The buying mistakes we see most
- Treating FullEnrich as a Clay replacement. Team cancels Clay to "save money," loses the orchestration layer, ends up with a CSV-and-API workflow nobody owns. Cost: 6–10 weeks of RevOps time rebuilding what Clay gave them for free, plus deliverability hits from rushed enrichment. Fix: keep Clay for the canvas, drop FullEnrich in as a column.
- Treating Clay as an enrichment tool and ignoring credit math. Team chains four providers as separate Clay columns at 10K rows/month and is stunned by the invoice—every column burned credits on every miss. Cost: 2–5× the expected enrichment line item. Fix: consolidate the contact-resolution waterfall into a FullEnrich HTTP column inside Clay; let Clay credits flow only on the columns Clay uniquely does.
- No field-ownership audit before turning on writeback. Both tools can write to CRM. So can Outreach, Apollo, and a marketing form. Last-write-wins produces drift across systems. Cost: an AE-trust event when a rep emails the wrong personal address sourced from a stale low-confidence hit. Fix: document field ownership in a shared doc before any production sync, gate writeback behind a 10-account sample review, and read the Salesforce field-ownership pattern on the tool hub.
What to test in week 1
Clay one-week test: pick one ABM workflow—100 target accounts, firmographics + tech stack + a Claygent-drafted custom opener referencing one specific recent signal. Document ICP filter logic in a shared doc. Build against a 20-row sample. Manually review every Claygent output; if more than 30% need rewrite before send, fix the prompt before scaling. Push enriched fields to CRM and openers to an Outreach sequence as a test variant, with a control group sequenced without Clay enrichment. Measure cost-per-meeting-booked, reply-rate delta, and Claygent edit rate.
FullEnrich one-week test: pick one segment—e.g., "EU mid-market mobile numbers for top-200 target accounts" or "verified emails for inbound MQLs missing contact data." Pull 100 records you have already enriched another way (Clay table, Apollo export, ZoomInfo lookup); you need known answers to score. Run them through FullEnrich. Record match rate, credit cost, false-positive rate on a 20-record manual sample. Compare effective $/verified-contact against the existing pipeline. If false-positive rate exceeds 10%, do not wire into auto-send—see the SDR followup cadence playbook for why bad emails destroy deliverability faster than enrichment savings recoup.
If either test fails its quality bar, scaling will make the failure mode bigger, not smaller.
Migration and coexistence
Clay → FullEnrich-only: rare and usually a mistake unless you have actively built a workflow layer elsewhere (Gumloop, n8n, or scripts). Clay's value is the canvas; ripping it out without a replacement means rebuilding orchestration in whatever you do next, which usually costs more than the Clay invoice did.
FullEnrich → Clay-only: more defensible if your enrichment volume is low and the workflow shape matters more than the cascade economics. Watch the credit math—if you chain four providers as separate Clay columns, the savings from collapsing FullEnrich back disappear inside Clay's per-attempt billing.
Coexistence (the dominant pattern): Clay owns the table; FullEnrich is one HTTP column inside it. Keep the cost report in one place—whichever operator owns Clay also owns the FullEnrich invoice. Revisit at renewal: if FullEnrich's tier outpaces actual enrichment volume, fold the cascade back into Clay providers and drop the FullEnrich seat. If Clay credit burn keeps creeping, move more contact-resolution work into FullEnrich.
FAQ
Can FullEnrich replace Clay? Only if your job is purely contact resolution and you already run an orchestration layer elsewhere. For ABM workflows with signal joins, AI research, and multi-step writeback, FullEnrich does not have the surface area.
Can Clay replace FullEnrich? Functionally yes—Clay can route through the same providers. Economically, often no, once monthly enrichment volume passes ~10K. The hit-only billing model in FullEnrich beats per-attempt credit burn at scale.
Do we still need Apollo or ZoomInfo on top? Maybe. Both tools route to provider APIs—they do not replace the underlying data. If your team also uses Apollo as a sequencer + database seat, you may be paying twice; if you use ZoomInfo as a vendor relationship for senior NA contacts, that is a separate decision. See Apollo vs ZoomInfo for the database-side comparison and Clay vs Apollo for the workflow-vs-bundled question.
What about Gumloop or Make.com instead of Clay as the canvas? Possible for teams whose bottleneck is LLM workflow flexibility, not enrichment depth. Gumloop and Make.com are general-purpose; they do not bundle the 100+ data-source ecosystem Clay does. FullEnrich-as-a-column still works the same way—one HTTP node. See Make.com vs Zapier for the iPaaS comparison.
Does Claygent quality justify staying on Clay? For teams that have validated Claygent prompts on their ICP and seen real reply-rate uplift, yes. For teams running generic templates that haven't been sample-reviewed, no—the SDR cold email personalization playbook and the RevOps lead scoring playbook cover the discipline gates.
Should RevOps own both tools? Yes. The cost report needs one owner across both billing surfaces, and the field-ownership audit has to cover both writebacks. The AE discovery prep playbook and the SDR followup cadence playbook downstream both assume RevOps has done this work.
Pricing and features as of 2026-06-14. Independent comparison.