FullEnrich vs Clay: Do You Need 100+ Data Vendors or Just the Right 15

FullEnrich vs Clay comparisons usually turn into a spec sheet fight. Clay lists access to far more data providers than FullEnrich does. So whoever's writing the comparison treats that gap as the whole story: more sources, more coverage, more reason to pick the bigger platform.

That's the wrong frame. The number of vendors a platform can call has almost nothing to do with how well your enrichment performs. What matters is whether the specific providers running in your waterfall are curated for the persona, seniority, and geography you're chasing. A waterfall with the right 12 to 15 providers, sequenced in the right order, will out-produce a 100-provider waterfall aimed at the wrong ICP. Nobody sells that argument because it doesn't fit on a features page. And it's the same curation-over-headcount logic that shows up across GTM engineering generally, applied here to data infrastructure specifically.

One disclosure before we go further: we run FullEnrich as one of the providers inside our own Clay waterfalls for client work. Not neutral. But we'll still tell you when Clay is overkill and when FullEnrich alone is the smarter call, because that's closer to true than pretending one tool wins outright.

What each tool actually is

Clay: a programmable workflow engine, not just an enrichment tool

Clay isn't primarily a data vendor. It's an orchestration layer, a spreadsheet-shaped workflow builder that calls other companies' data (FullEnrich included) and runs your logic on top of what comes back: enrich, verify, score, route to a CRM, trigger a sequence. Clay's own pricing page describes access to "150+ premium data sources and AI research agents in one platform," and a separate marketplace page claims "200+ providers" you can buy data from directly, per clay.com. Either number is a ceiling, not a workflow. But most Clay users never touch more than a handful of those providers in any given table.

If you're also weighing Apollo or ZoomInfo against Clay as your primary data source rather than FullEnrich specifically, that's a different comparison we cover separately.

FullEnrich: a single-purpose contact-finding waterfall

FullEnrich does one thing. It runs a waterfall across "20+ premium vendors," in its own words on fullenrich.com, to find a work email, personal email, or mobile number for a contact, then stops once it's found one that verifies. It doesn't have a workflow builder, a scoring engine, or a CRM automation layer it built itself, though it does connect to HubSpot and Salesforce. So it's a waterfall, packaged as a product, with a UI thin enough that a founder can run it without ever opening a table.

Feature comparison table

Neither tool wins a category-by-category shootout, because they're not built for the same job. So here's where they differ, based on what's live on each product today.

One row matters more than the rest. Clay is the layer that can call FullEnrich itself, not a rival product standing across the table from it. That's the "stack, don't switch" point we come back to below.

Why vendor count is the wrong metric

The diminishing-returns problem with 100+ providers

Every vendor a waterfall calls costs something: a credit, a request, a few seconds of latency, sometimes a false-positive email that bounces three weeks later. A provider only earns its place in the sequence if it finds contacts the earlier ones missed, for the specific slice of people you're enriching. Past a certain point, adding a 40th or 80th provider mostly returns records the first ten already found, pulled from a different vendor's index of the same public web. So you're paying for redundancy, not coverage.

Nobody publishes the exact point where that redundancy sets in, because it depends on the ICP, not the platform. But the mechanism is simple. Consumer data brokers, B2B contact databases, and social-scraped sources all draw from overlapping pools. Stack five of them and the sixth is guessing at the leftovers. And stack fifteen curated ones, in the right order for a specific persona, and you've likely already covered what a hundred generic ones would find, minus the noise and the extra bill.

What "the right 15" looks like in practice

Curation means matching providers to the actual shape of the list, not defaulting to every source available. A waterfall built for VP-and-up titles at mid-market SaaS companies in North America should run different providers, in a different order, than one built for founders at ten-person agencies in Southeast Asia. The first list needs providers strong on corporate email infrastructure and mobile numbers for people who screen unknown calls. But the second needs providers that index small, non-US companies well, which most of the big US-centric databases don't.

We build client waterfalls narrow on purpose. Start with a couple of providers tied to the exact persona and geography, then add one only when we can point to a specific gap the existing sequence is missing for that ICP, not because a new source happens to be available. And we've never needed anywhere near a hundred providers to cover a real target list. Most of what a hundred-provider platform buys you is optionality you'll never exercise on any single campaign.

Cost-per-verified-contact, not cost-per-credit

The number that matters isn't what a credit costs. It's what a usable, deliverable contact costs once you've paid for every dead end along the way. A cheap credit on a provider with a low find rate for your ICP can end up costing more per verified contact than an expensive credit on a provider that's unusually good at finding that specific kind of person. Compare cost per credit and you'll pick the wrong tool. Or compare cost per verified contact instead, and the right one usually becomes obvious.

Pricing: what it actually costs to run each stack

Pricing on both sites moves, so treat the numbers below as a snapshot from July 2026, not a promise. Check both pricing pages before you commit to anything.

FullEnrich's pricing page currently runs a free trial (50 credits, no card required), a Pro plan at $55 a month for 1,000 credits ($0.055 per additional credit), and a custom Enterprise tier. Credits aren't flat: a work email costs 1 credit, a personal email costs 3, a mobile number costs 10. Verify a batch of mobile numbers and 1,000 credits disappear fast.

Clay's pricing page starts with a free tier (500 actions and 100 data credits a month), then Launch at $167 a month (15,000 actions and 3,000 data credits, expandable up to 200,000 actions and 50,000 credits), then Growth at $446 a month (40,000 actions and 6,000 data credits, same expandable ceiling, plus CRM auto-sync and HTTP API access), then a custom Enterprise tier starting around 100,000 actions and credits a month.

So on sticker price, FullEnrich is the cheaper way to run a pure contact-finding waterfall, and Clay is the more expensive platform that also does a lot more than finding contacts. ColdIQ ran their own head-to-head on 1,000 email enrichments and priced Clay at roughly $75 versus roughly $55 on FullEnrich, in their comparison. That's ColdIQ's scenario, not something we've independently verified, but it lines up with the sticker-price gap above.

The honest comparison isn't Clay's price against FullEnrich's price. It's Clay's price against what you'd otherwise pay for a workflow tool, a scoring layer, and a CRM integration stacked on top of a cheaper enrichment tool. For some teams that bundle is worth it. But for a team that only needs contacts, it's an expensive way to buy something FullEnrich already does alone.

You don't have to choose: where FullEnrich actually sits inside Clay's waterfall

Here's the part almost every comparison buries in a footnote. FullEnrich isn't only a Clay alternative. And it's also one of the providers Clay itself can call inside a waterfall step.

Set up a Clay table, drop in an enrichment column, and FullEnrich shows up as one of the sources you can chain: try provider A first, fall through to FullEnrich when A comes back empty, fall through to a third source if FullEnrich misses too. You get FullEnrich's find rate on the rows it's good at, wrapped in Clay's logic, scoring, and CRM writes for everything around it.

That changes the decision from "which tool" to "which layer." If your only job is finding a work email or mobile number for a list you already have, FullEnrich alone probably gets you there for less money and less setup time. But if the enrichment step needs to feed scoring, routing, sequencing, or a CRM sync, you likely want Clay running the workflow, with FullEnrich as one provider inside it rather than a separate tool your team logs into and reconciles by hand.

Hack'celeration's comparison notes this in passing, correctly, but treats it as an aside instead of the deciding factor it usually is. And most people asking "FullEnrich or Clay" are asking a question that doesn't have a mutually exclusive answer.

Which one fits your stack

Reason from your actual workflow, not the feature list.

Solo founder or small team doing your own outbound

Start with FullEnrich alone, or Clay's free tier if you're already comfortable in a table-based tool. You don't need orchestration logic yet. You need contacts you can call and email today. So FullEnrich's $55 Pro plan covers roughly 1,000 email finds a month for a fraction of Clay's Launch price, and you can be running enrichment within the hour instead of the week. Once contacts are verified, the next system worth getting right is your outbound sending infrastructure.

In-house RevOps team building repeatable workflows

This is where Clay starts to earn its price. Once you're building the same enrichment logic across multiple lists, scoring leads on more than one signal, and writing results back to a CRM automatically, the workflow layer is the point, not a nice-to-have. So run Clay's Launch or Growth tier with FullEnrich, or another provider, plugged in as one waterfall step, rather than paying for FullEnrich's own CRM integrations separately and stitching the pieces together by hand.

Agency or GTM engineering partner running this for clients

Multiply everything above by however many clients you're running, and the orchestration layer stops being optional. You need one system that can run a differently curated waterfall per client without rebuilding logic from scratch each time, which is what a table-based tool with reusable snippets gives you. And it's also who build-vs-buy usually resolves for: an agency owning the workflow logic end to end, rather than a client trying to maintain it alongside everything else on their plate. This lines up with a broader pattern. OneGTM's 2026 State of GTM Engineering report, a self-selected survey of 228 GTM engineers across 30+ countries that the authors themselves describe as "meaningful but not statistically representative," found that "84% of GTM Engineers report using Clay." Among agencies specifically, that climbs to "reaching 96%." Not proof Clay is objectively the best data provider. Evidence that when the job is running curated waterfalls at scale for other people, Clay's workflow layer is what most practitioners reach for, whichever provider fills each individual step.