

FullEnrich vs Clay: a contact waterfall or a configurable GTM workflow?
Compare FullEnrich and Clay for contact waterfalls, AI research, workflow ownership and cost. Learn when to use one, combine them, or choose a rep-led workspace.
Which is better for your team: FullEnrich or Clay?
Choose FullEnrich when contact-data enrichment is the job. Choose Clay when you need to design the steps around it: custom research, qualification, conditional enrichment and downstream actions. Both support multi-provider enrichment, and FullEnrich now lists people/company search. Provider count alone does not answer this buying decision.[1][3][12]
You can also combine them. Clay documents native FullEnrich work-email and mobile-phone actions, using either a connected FullEnrich account or the Clay-provided key. The useful question is whether the surrounding research and orchestration justify another platform and usage meter.[11]
If you want reps to review account evidence, qualify fit and then act on enriched buyers in one workspace, also inspect Autotouch Research Tables. If you only need missing contact details, start with the narrower waterfall-enrichment workflow.[5][4]
Publisher disclosure: Autotouch sells a competing rep-led sales workspace. Official sources were checked on 26 October 2026. This is desk research, not a hands-on test or an independent quality ranking.
Comparison table
| Tool | Best for | Core upside | Main tradeoff | Where it sits |
|---|---|---|---|---|
| FullEnrich | A team that needs work emails and mobile numbers inside its existing process | A packaged contact waterfall, verification and integration options [1] | Custom account research and downstream orchestration require a separately scoped workflow | Contact-data service; also usable from Clay |
| Clay | An owner building research, qualification and enrichment workflows | Claygent research, conditional runs, data-provider connections and activation [3][11][12] | Budget platform Actions, data/AI usage and the work of maintaining the system | Configurable GTM orchestration layer |
Feature comparison
Decide what belongs before and after the lookup
For a known person with missing contact fields, FullEnrich’s packaged waterfall can be the narrow purchase. Its current scope includes work-email and mobile enrichment, live company/person enrichment and people/company search, with CRM, API and no-code connections. Do not confuse a dedicated contact-data focus with “no prospect discovery.”[1]
Clay addresses a broader build task. Its plans list multi-provider waterfalls and Claygent research; paid capabilities include signals, reusable functions and email sending, while Growth lists CRM auto-sync, HTTP integrations and webhook automation. Clay is not just a spreadsheet export tool, and it is inaccurate to say it cannot send outreach.[3]
Control means deciding what should run, not running every column
A workflow builder should define identity inputs, required evidence, the fit rule and what happens when data is missing. Clay’s FullEnrich integration exposes auto-update and “Only run if” settings, so a contact lookup can be conditional. That matters when expensive phone enrichment should happen only after an account meets your criteria.[11]
This is a reason to consider orchestration, not a guarantee of cheaper or better outputs. Someone still needs to own prompts, run conditions, provider credentials, exceptions and downstream mappings. For a simple contact-repair queue, those responsibilities may be unnecessary overhead. For a recurring custom qualification process, they may be exactly what you are buying.
Choose the operating model
| Buying situation | Likely shortlist | Check before committing |
|---|---|---|
| Named people; missing email or mobile; existing CRM and outreach stay | FullEnrich as a standalone data layer | Identity inputs, field status, phone type and the exact return path [1] |
| Research a custom fit question before spending on contact data | Clay research plus conditional enrichment | Evidence quality, unknown handling, run conditions, Action capacity and data/AI spend [3][11][12] |
| Clay workflow already works; FullEnrich is the desired contact source | FullEnrich inside Clay | Clay-provided key versus your own account; which vendor bills each step [11][12] |
| Build recurring CRM updates or event-triggered routing | A scoped Clay paid plan and an explicit workflow owner | Required connector, trigger, plan entitlement, failure behavior and overwrite rules [3] |
| Reps need research and enriched buyers alongside their next action | Compare a rep-led workspace such as Autotouch | Whether reps can inspect the findings and retain useful context through the outreach task [5] |
Illustrative workflow: qualify companies before buying phone data
Fictional workflow design—not a live run, measured saving or claim that either product produced these findings. A consulting team wants to reach sales leaders at companies that publicly offer an enterprise service and are hiring for outbound sales.
- Define the research fields. Start with company domains. Ask for an answer, supporting URL and observation date for the service and hiring questions. Define “unknown” separately from “no”; a missing source is not proof of a negative.
- Review the fit gate. In Clay, scope the Claygent research and review a small sample before enabling wider runs. Decide which answers qualify an account; do not treat a hiring signal as confirmed buying intent. Clay documents AI research and paid signal functionality.[3]
- Find the right people, then enrich conditionally. For qualified companies, identify the target sales role. The documented FullEnrich action can use a person’s name with company/domain or social-profile information, and “Only run if” can gate the lookup. Request mobile data only where calling is part of the plan.[11]
- Choose the billing route. With the Clay-provided key, inspect the displayed marketplace cost. With your own FullEnrich account, track FullEnrich usage separately; Clay still meters the orchestration in Actions. Do not count bring-your-own-key as free enrichment.[11][12]
- Review and activate. Hold unresolved identities or unsupported findings. Keep accepted research and contact statuses with the outbound handoff; test the exact CRM, Clay Sequencer or external sequencer path included in the required plan.[3][12]
If you already have qualified accounts and known buyers, skip the research machinery you do not need. Run the narrower contact-enrichment job through FullEnrich and keep the existing handoff. If qualification changes frequently or several actions depend on the same research, a configurable workflow becomes more useful.
When a rep-led workspace is the better fit
Consider Autotouch when the person consuming the research is the rep who must decide whom to call and what to say. Research Tables lets the team find multiple buyers at an account, research custom fit criteria, score companies and review structured findings. Supported company signals can add context; the phone/email waterfall fills contact gaps before rep-controlled outbound.[5][4]
Ask to see the rep inspect an account’s evidence, reject an unsupported fit answer, review a returned contact value and carry the context into an outreach task. Do not assume every research answer has a source: references depend on the research output configuration. A missing contact value or unknown answer should remain visible.[5][4]
Autotouch is not automatically the fit if you only want a low-level enrichment service, or if your team wants to keep an established Clay orchestration system. For the data-only job, review Autotouch’s waterfall scope and limitations. For research-to-action, see how Research Tables supports buyer finding and qualification.
What this comparison does—and does not—prove
Official documentation establishes the product scope discussed here, not the accuracy of a lookup for your market. We did not run either tool, measure setup time, verify testimonials or compare customer support. Evaluate on your own eligible records without sending real outreach just to test data.
Keep two scorecards. The contact scorecard tracks identity match, accepted work emails, accepted phone types, verification status and spend per unique accepted contact. The workflow scorecard tracks sourced research answers, unresolved answers, Action/data/AI spend, correction effort and whether accepted context reaches the intended rep task. A wider data table is not automatically a better research result.
Official sources
Sources checked 26 October 2026.


Pricing comparison
Pricing-source check: 26 October 2026. FullEnrich meters the contact-data service; Clay separates orchestration from data and AI purchases. A credit in one product is not an equivalent unit in the other.[1][12]
| Budget line | FullEnrich | Clay |
|---|---|---|
| Field or run | The pricing selector lists 1 credit per work email and 10 per mobile phone found; unsuccessful finds are not charged [1]. | Actions meter platform work. Data Credits buy marketplace data/AI, with costs varying by provider and task [12]. |
| Own provider account | A direct FullEnrich subscription pays for the provider usage. | Using your own provider key avoids Clay Data Credits for that provider step, but still consumes Actions and incurs the provider’s separate bill [12]. |
| Required platform plan | Price the data volume and integration requirements in the live selector. | Clay’s pricing FAQ and plan documentation state Launch starts at $185/month and Growth at $495/month. Launch lists phone enrichment and email sending; Growth adds CRM auto-sync, HTTP integration and webhooks [3][13]. |
| People and administration | Unlimited users are listed; stated rollover is 3 months on monthly plans and 12 months on yearly plans [1]. | Unlimited seats/tables are listed. Include the person maintaining research, run conditions and handoffs in the operating budget [3]. |
The Clay dollar figures above are starting monthly prices, not annual-billing monthly equivalents. Its dynamic pricing page also exposes annual variants and inconsistent Launch allowance text across sections, so this article does not lock in a bundled Launch Data Credit allowance. Confirm the selected plan, billing term, Action capacity and Data Credits in the current quote.[3][13]
Illustrative billing paths—not estimates of your results: use FullEnrich directly and pay for the contact service plus your existing stack; use its Clay-provided connection and budget Clay’s shown data cost plus Actions; or connect your own FullEnrich account and budget the FullEnrich bill plus Clay Actions. Custom AI research, other providers and exports add their own applicable usage. Clay documents Actions for AI runs and execution/export tasks, so one prospect row should not be assumed to cost one Action for the whole workflow.[11][12]
Compare total workflow cost per accepted, research-qualified contact, not raw credits per row. Include the required platform tier, data/AI usage, external subscriptions and operator time; divide by unique contacts that pass the agreed fit and contact checks. Avoid charging the same included credits twice in your model. Do not count rejected research rows as completed leads, and do not infer savings before running an approved sample.
Review the FullEnrich selector, Clay plan comparison and Action/Data Credit rules for your configuration. No FullEnrich subscription dollar total is inferred from its animated price display.
If the rep owns the next action
Put reviewed research beside the rep’s next task
Consider Autotouch when reps need to find buyers, qualify accounts, inspect research and review phone/email details before outbound. If your Clay workflow already fits, or you only need a contact-data service, do not replace it without a concrete workflow reason.
About the companies

FullEnrich offers contact-data enrichment through its interface, CRM connections, API and no-code integrations. Its current Pro plan also lists people and company search; it is not limited to enriching imported lists.[1]

Clay is a configurable GTM data and workflow platform. Its documented scope includes Claygent research, multi-provider enrichment, signals, conditional runs and activation through native email sending or integrations, with capabilities depending on the plan. FullEnrich is one of its documented contact-data integrations.[3][11]
Frequently asked questions
Frequently asked questions
Can I use FullEnrich inside Clay instead of choosing one?
Yes. Clay documents native FullEnrich work-email and mobile-phone actions. You can select a connected FullEnrich account or the Clay-provided key. Check which billing route is selected before running a table.[11]
Does bringing my FullEnrich API key make Clay enrichment free?
No. Clay’s documentation says your own provider key avoids its Data Credit charge for that provider step, but the run still uses Actions. The external provider’s bill remains separate.[12]
Does Clay only enrich data, or can it send outreach too?
Clay lists native email sending and sequencing integrations on Launch, with additional CRM and HTTP/webhook capabilities on Growth. Do not choose another platform on the false assumption that Clay stops at CSV export. Confirm your required channel and plan.[3]
When is standalone FullEnrich enough?
When the immediate job is to get contact data into an existing process and you do not need an additional research/orchestration layer. Its current scope also includes people/company search and API/CRM options. Test the exact input and handoff rather than buying a broader workflow by default.[1]
How do I stop research and phone enrichment from running on every row?
Define an explicit fit gate and unknown state, preview a sample and only enable subsequent lookups for eligible records. Clay’s FullEnrich action documents “Only run if” and auto-update settings. Review conditions before a wider run; a blank answer should not silently become qualified.[11]
Which is better for a team without a dedicated workflow builder?
Start with the narrowest job. A contact-data layer may be enough if research and outreach already work. If reps need to review research, qualify accounts, find buyers and act with context, compare Autotouch Research Tables alongside the workflow you would build in Clay. There is no measured setup-effort winner in this desk-research comparison.[5]
More comparisons
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