Review · b2b sales stack · Updated June 2026 · 4 min read

FullEnrich: waterfall enrichment from 15+ data providers

FullEnrich finds email addresses and phone numbers by querying multiple data providers in sequence — stopping when it finds a verified result. The waterfall approach produces higher find rates than any single provider, which is the core reason teams switch to it from Apollo or Clearbit enrichment alone.

★★★★☆
4.2 / 5
Best for maximizing contact find rates from imperfect lists
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B2B contact enrichment has a fundamental coverage problem: no single data provider has complete coverage across all company sizes, geographies, and seniority levels. Apollo is strong for US mid-market; Hunter covers personal domains well; Dropcontact excels in European markets. Using only one leaves gaps that cost pipeline.

FullEnrich's waterfall model solves this by trying providers in sequence for each contact and returning the first verified result. You pay per successfully enriched contact, not per API call, which makes the cost predictable relative to the value received.

This review covers how the waterfall actually performs, how to think about cost versus single-provider alternatives, and where FullEnrich fits in a broader prospecting stack.

What works

  • Higher email and phone find rates than any single provider
  • Pay-per-enriched-contact pricing — no cost for misses
  • 15+ providers in the waterfall including Apollo, Hunter, Dropcontact
  • Simple CSV workflow for teams not ready for full API integration
  • Strong European contact coverage via EU-focused providers

What doesn’t

  • Per-credit pricing adds up quickly on large lists
  • No built-in prospecting — enrichment only, requires existing contact list
  • Quality depends on which provider in the waterfall finds the result
  • 15% commission limited to Starter tier — check terms for higher plans
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How the Waterfall Works in Practice

When you upload a contact, FullEnrich passes it through providers in a defined sequence, ordered by a combination of provider reliability and coverage for that contact's firmographic profile. The sequence isn't identical for every contact — the routing logic weights providers based on company geography, size, and domain type.

A contact at a 200-person US SaaS company will route differently than a contact at a 10-person French consulting firm. FullEnrich's waterfall logic has been tuned across millions of enrichment requests to optimize for each segment.

The result comes back as a verified email address (or phone), meaning the address passed a syntax check plus either an SMTP verification or a provider-confirmed active status. Plan for 3-8% bounce rates even on enriched contacts — verification quality varies by provider.

Cost Comparison vs. Single Provider

The most common comparison is FullEnrich versus using Apollo enrichment credits directly. Apollo charges per enriched contact and has strong US coverage but lower coverage for European companies, SMBs with no LinkedIn presence, and personal email domains.

For lists where Apollo's coverage is high, FullEnrich won't dramatically change outcomes but costs more per credit. The value case is strongest when working with lists where Apollo coverage is expected to be incomplete — international lists, director and manager level at small companies, or domains without HubSpot or Salesforce integrations that Apollo uses for reverse-engineering contacts.

Teams running 10,000+ enrichments per month often find that FullEnrich's higher find rate reduces list building time enough to offset the per-credit premium.

Integration with the Broader Stack

The most common workflow is: build a target list in Apollo or Sales Navigator → export CSV → enrich through FullEnrich → import enriched list into a sequencing tool (lemlist, Instantly, Reply.io). FullEnrich sits in the middle of that pipeline as an enrichment layer.

API integration allows this workflow to run programmatically for teams building automated prospecting pipelines. The API documentation is clean and well-tested; integration typically takes a developer a few hours for a basic pipeline.

Clay users in particular have found FullEnrich useful as one of the provider options in Clay's built-in waterfall, though direct API access offers more flexibility than the Clay integration.

Use Cases Where FullEnrich Wins

The clearest use case is high-value outbound where list quality directly affects pipeline. If each enriched contact represents a potential deal worth thousands of dollars, paying a premium for higher find rates has obvious ROI. A team running ABM against a 500-account target list benefits more from FullEnrich than a team doing broad demand generation.

A second strong use case is European prospecting. US-centric tools like ZoomInfo and Apollo have historically weak European coverage. FullEnrich's waterfall includes European-native providers that improve find rates for French, German, Dutch, and Nordic contacts.

A third use case is enriching inbound leads from incomplete form fills — if someone submits their name and company but no email, FullEnrich can often find their contact details for faster follow-up.

Limitations to Know

FullEnrich is an enrichment tool, not a prospecting tool. It doesn't help you find new contacts to target — you need a list first. Teams that need both prospecting and enrichment will still pay for an upstream tool like Apollo or Sales Navigator alongside FullEnrich.

Phone number enrichment is less reliable than email. Mobile numbers in particular have lower coverage and higher error rates across all B2B data providers, and FullEnrich's waterfall doesn't fundamentally change that market reality.

Credit costs scale with list size. For very large lists (100,000+ contacts), the per-credit model can become expensive relative to a bulk data subscription from a single provider, even accounting for the higher find rate.

The verdict

Our take

The right enrichment layer when single-provider coverage isn't enough

FullEnrich's waterfall model genuinely outperforms single-provider enrichment for any list with meaningful geographic or firmographic diversity. The pay-per-enriched-contact pricing makes it easy to evaluate: run a sample of your target list and compare find rates against what Apollo or Hunter returns alone.

The positioning in the stack is clear — it's not a replacement for Apollo or a CRM, it's the enrichment layer that sits between list building and sequencing. For teams where list quality limits pipeline generation, FullEnrich is a practical upgrade with measurable results.

Try FullEnrich →

Frequently asked questions

Answered by The Editor, with notes from Atlas and Roxy.

What is waterfall enrichment?

Waterfall enrichment queries multiple data providers in sequence for each contact. If Provider 1 returns a verified result, it stops. If not, it tries Provider 2, then 3, and so on. The result is higher find rates than any single provider, since different providers have better coverage for different segments of the B2B universe.

How does FullEnrich pricing work?

FullEnrich charges per successfully enriched contact — you only pay when it finds a result. This is different from tools that charge per API call regardless of outcome. Credits are consumed only on successful enrichments, which makes cost predictable when working with lists where coverage is uncertain.

Does FullEnrich work with existing tools like Apollo?

Yes. FullEnrich integrates via API and has CSV import/export. Many teams use Apollo for prospecting and list building, then run their Apollo export through FullEnrich to fill in email and phone gaps before loading into a sequencing tool.

What find rates can you expect?

Find rates depend heavily on your target segment, geography, seniority mix, and data freshness. The waterfall approach is strongest for common B2B roles at mid-market companies and weaker for very small businesses, European contacts, and hard-to-reach enterprise executives.

Is FullEnrich GDPR compliant?

FullEnrich processes data through providers in its network and includes data processing agreements. For European contact enrichment, you should review their DPA and ensure your use case aligns with your legal basis for processing — the same due diligence required for any B2B data tool in GDPR-covered regions.

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