FullEnrich Review 2026
FullEnrich is a waterfall enrichment tool that chains 20+ premium data providers to find B2B emails and mobile numbers in a single call. Instead of buying separate contracts with Clearbit, Hunter, ContactOut or Datagma, you query them in sequence and FullEnrich returns the first valid result. The editor advertises a find rate above 80%, and the pay-per-found model means you only spend credits on data that actually comes back. It targets SDRs, RevOps and marketing-ops teams who care about coverage more than about owning a static database.
In this review we test FullEnrich the way an outbound team actually uses it: bulk CSV enrichment, LinkedIn URL lookups, and FullEnrich plugged in as a provider inside other stacks. We score it on five criteria, weigh the honest gap between its glowing G2 rating and a low Trustpilot score, and tell you exactly where Clay or Apollo beat it. If you want a head-to-head, see our FullEnrich vs Clay comparison. Note one change for 2026 : the LinkedIn Chrome extension has been sunset, so the workflow is now bulk and API first.
FullEnrich, scored.
Our review of FullEnrich in summary
FullEnrich is a waterfall enrichment tool that chains 20+ premium data providers to find B2B emails and mobile numbers in a single call. Instead of buying separate contracts with Clearbit, Hunter, ContactOut or Datagma, you query them in sequence and FullEnrich returns the first valid result. The editor advertises a find rate above 80%, and the pay-per-found model means you only spend credits on data that actually comes back. It targets SDRs, RevOps and marketing-ops teams who care about coverage more than about owning a static database.
In this review we test FullEnrich the way an outbound team actually uses it: bulk CSV enrichment, LinkedIn URL lookups, and FullEnrich plugged in as a provider inside other stacks. We score it on five criteria, weigh the honest gap between its glowing G2 rating and a low Trustpilot score, and tell you exactly where Clay or Apollo beat it. Note one change for 2026 : the LinkedIn Chrome extension has been sunset, so the workflow is now bulk and API first.
The numbers speak. Want to try FullEnrich?
What real users say about FullEnrich
- 5★8
- 4★1
- 3★0
- 2★0
- 1★0
Across these 9 G2 reviews FullEnrich averages 4.9/5 and every reviewer would recommend it. The praise is remarkably consistent : the multi-source waterfall finds accurate emails and hard-to-reach phone numbers that other tools and even LinkedIn Sales Navigator miss, while the pay-per-found credit model means empty lookups cost nothing. Reviewers single out the speed (200 to 300 profiles enriched from a one-column LinkedIn CSV in about 5 minutes), the easy Google-login setup, the 3-month credit rollover, and the API, MCP and Clay integrations that slot it into any stack. The friction is honest too : credits burn fast on large lists and the price feels a bit high, you lose remaining credits if you cancel and pausing a plan is awkward (David S.), niche or large companies can return incomplete data, and there is no native LinkedIn or Sales Navigator extraction. One thing to weigh fairly : these strong B2B-buyer ratings contrast with a low Trustpilot score and a minority of individuals on Product Hunt and Trustpilot who complained their personal data or phone number surfaced or that they were cold-emailed, a real GDPR and consent concern that buyers do not see but data subjects do.
Most loved
- +Multi-source waterfall returns accurate emails and hard-to-reach mobiles other tools miss
- +Pay-per-found credits : empty lookups never cost you
- +Credits roll over for 3 months, so an unused month is not wasted
- +Fast and bulk : 200 to 300 LinkedIn-URL profiles enriched in about 5 minutes
- +API, MCP and Clay integrations plus an easy Google-login setup
Watch-outs
- !Credits burn fast on large lists and the price feels a bit high
- !You lose remaining credits if you cancel, and pausing a plan is awkward
- !Niche or large companies can return incomplete data needing a manual check
- !No native LinkedIn or Sales Navigator extraction
- !A minority of individuals report their personal data or phone surfaced or that they were cold-emailed, a real GDPR and consent concern
- David S. via G2
The enrichment feature is fabulous. I haven't had the chance to use it for anything else like the hunting feature yet. I tried using it for my market and unfortunately I didn't find much useful information, so I'll have to try again. Occasionally it doesn't return the contacts I'm looking for, but it never charges me for the credits. I'm also unhappy about losing ALL my credits if I cancel, when I'm paying for this out of my own pocket and just want a financial break. That upset me, and when I tried to pause it, I couldn't even access it or use my credits AT ALL. That's a very bad business practice.
- Soheil S. via G2
Very useful for finding email addresses and phone numbers, especially using a waterfall cadence that taps the best providers for each region. It automatically picks whether the best provider is for European or US data, and handles that on its own. I don't need to configure the waterfall myself. I appreciate its MCP and its API, which make it easy to use with Claude Code, Clay and other tools. Nothing comes to mind on the downside.
- Verified User in Computer Software via G2
I used FullEnrich for lead enrichment, and the data quality stayed consistently high. The email addresses and phone numbers are generally accurate. I like the waterfall approach, because it draws on multiple sources and helps lift match rates. A reliable tool for prospecting. The biggest downside for me is that credits can run out quickly when I process large lists, and the price feels a bit high. Still, the data quality is consistently good, which justifies the cost.
- anthony a. via G2
I appreciate FullEnrich's search speed, which lets you process a base of 200 to 300 profiles in barely 5 minutes with a very interesting conversion of around 60 to 70%. A direct phone number is a real plus and a comfort during prospecting, even if it's not a guarantee of a closed deal. Ease of use is also an advantage, with the ability to feed the file to enrich from a simple one-column CSV or Excel file with LinkedIn profile URLs. The initial setup was very simple thanks to a login via the Google profile. Nothing in particular to fault, although direct extraction from LinkedIn or Sales Navigator searches would be great rather than having to go through Waalaxy or PhantomBuster, but I think that has more to do with LinkedIn than with FullEnrich.
- Dave M. via G2
FullEnrich uses multiple data sources and seems to do a better job than the other tools we bought in the past (LeadIQ, Hunter). Credits roll over from month to month, so if you have a big job after not using the service for a while, all those unused credits are still available. The web interface is good, but not great. When you paste a single contact, the nearby button says 'add a contact' when it should say 'enrich the contact'. That's a pretty minor complaint.
- Christopher C. via G2
It works as advertised. The interface is easy to use, and the new search feature is particularly helpful. It significantly cuts the time it takes me to go from identifying a prospect to talking with them. The processing time needed to get a phone number can sometimes take a minute, but that's a million times faster than not having the number at all!
We tested FullEnrich on five criteria.
One honest score per criterion, with the wins and the catches.
Test FullEnrich — Ease of use
FullEnrich is simple to start. You sign up on the Free plan with no credit card, paste a LinkedIn profile URL or upload a CSV, map your columns, and launch the enrichment. We had our first batch running in under ten minutes, which is a different experience from a platform like Clay where the first real workflow takes a few hours to understand.
The bulk flow is the heart of the product and it works well. Drop a list of names with companies or LinkedIn URLs, pick what you want back (professional email, personal email, mobile), and let the waterfall run. Results come in with a status per row, so you can see what was found and what was not before you export. For teams who live in CSVs and CRMs, that is exactly the right shape.
The UX is where we dock points. Some screens feel cramped, a few labels are not obvious on first read, and credit costs per data type are not surfaced as clearly as they should be at the moment you launch a job. Nothing blocking, but you will spend your first session learning that a mobile number costs far more than an email. The end of the Chrome extension in June 2026 also removes the one-click "enrich this profile" habit some users relied on, pushing everyone toward bulk and API.
Verdict : easy to pick up, genuinely fast for bulk work, slightly rough around the edges. A non-technical SDR can be productive on day one, which is more than we can say for most enrichment platforms.
Test FullEnrich — Value for money
The pay-per-found model is the strongest value argument here. You spend credits only when FullEnrich actually returns data, so a row that comes back empty does not cost you. A professional email is 1 credit, a personal email is 3, a reverse email lookup is 1, and a mobile number is 10. That last number matters : mobile is expensive, and a bulk job heavy on phones will burn credits fast.
The Free plan gives 50 credits with no credit card, which is enough to gauge match quality on your own data. The Pro plan lands around $55 per month for roughly 1,000 credits (check the current price, tiers move), and Enterprise is custom with SSO and an account manager. Unused credits roll over for 3 months on monthly plans and 12 months on annual, which softens the usual "use it or lose it" pressure.
Where it shines : if your problem is coverage, paying only for found data at an 80%-ish hit rate is more economical than stacking single-vendor subscriptions that each return 40 to 60% and bill you regardless. Where it stings : if you need mobile numbers at volume, the 10-credit cost makes FullEnrich a premium choice, and a budget waterfall like Bettercontact can be cheaper per record. For pure email enrichment, the math is very good.
Verdict : fair to strong value for email-led enrichment thanks to pay-per-found, less compelling for heavy mobile sourcing where the credit cost adds up quickly.
Test FullEnrich — Features and depth
FullEnrich does one job and does it well : waterfall contact enrichment. Under the hood it queries 20+ premium sources (the editor cites the likes of Clearbit, Hunter, Wiza, ContactOut, Snov and Datagma) in sequence, stopping at the first valid hit. That is what pushes the find rate past what any single provider delivers, and it covers a wide geography : US and Canada, EMEA, LATAM and APAC.
The feature surface is focused. You get professional and personal email finding, mobile lookup, reverse email lookup, enrichment from a LinkedIn URL, bulk CSV processing, and a public API documented at docs.fullenrich.com for teams who want to wire it into their own systems. The API is the real depth here : it turns FullEnrich into an enrichment engine you can call from n8n, Make or your backend.
What it deliberately does not do : there is no outreach or sequencing, and there is no owned contact database you can search and filter like Apollo offers. FullEnrich enriches contacts you already identified, it does not help you discover net-new accounts from scratch. If you want search plus outreach in one tool, this is not it. If you want the best possible data on a list you already have, this is exactly it.
Verdict : deep where it counts on enrichment and API, intentionally narrow elsewhere. Treat it as a best-in-class enrichment layer, not an all-in-one prospecting suite.
Sold on the details? Start a FullEnrich trial.
Test FullEnrich — Customer support and assistance
Support is one of the reasons FullEnrich rates so highly on G2. The team is responsive over chat and email, and the company's smaller size shows in a good way : you tend to reach people who know the product rather than a generic first line. Across the B2B buyer reviews, fast and helpful support is one of the most repeated themes.
The documentation is solid for the size of the product. The API docs at docs.fullenrich.com are clear enough to get a first integration running, and the no-code paths through Clay, n8n, Make and Zapier are well trodden, so you rarely solve a problem nobody has hit before. Enterprise customers get an account manager, which is the right level of hand-holding for teams running large monthly volumes.
The honest caveat is not about support quality, it is about who is asking. FullEnrich carries a low Trustpilot score, but read the reviews and most come from private individuals upset that their number was found, not from B2B buyers complaining about the service. That is a data-privacy story, not a support story. Still, if compliance and contact-removal requests matter to you, test how quickly opt-out requests are handled before scaling.
Verdict : strong, human support that B2B buyers consistently praise. The Trustpilot noise reflects privacy concerns from data subjects, not the buyer support experience.
Test FullEnrich — Available integrations
Integrations are FullEnrich's best non-data asset. It connects to the three CRMs most outbound teams run on : HubSpot, Salesforce and Pipedrive, so you can auto-enrich records as they enter your pipeline rather than exporting and re-importing CSVs by hand.
On the no-code side, FullEnrich plugs into Clay, n8n, Make and Zapier. The Clay angle is worth calling out : you can use FullEnrich as a provider inside a Clay table, getting its waterfall coverage within Clay's broader workflow engine. That makes the two complementary more than competitive for teams already invested in Clay. The n8n, Make and Zapier hooks cover almost any automation you would want to script around enrichment.
The public API is the backbone of all of it. Anything the native integrations do not cover, you can build : enrich on a webhook, batch overnight, push results wherever you need. The one real gap, again, is that there is no outreach destination native to FullEnrich, because the product does not do outreach, so you will always pair it with a sending tool. And with the Chrome extension gone, the browser-side capture path is no longer part of the integration story.
Verdict : excellent coverage of CRMs and no-code platforms, anchored by a real API. The Clay-as-provider pattern is a genuine highlight. Just remember you bring your own outreach tool.
Frequently asked questions
Is FullEnrich free?
FullEnrich has a free plan that gives you 50 credits with no credit card required, which is enough to test match quality on your own list before paying anything. Because the product is pay-per-found, those credits are only spent when data is actually returned, so an empty result does not waste a credit. The free tier is a genuine trial of the core waterfall, not a stripped-down demo : you can find professional emails, personal emails, run reverse lookups and even test a few mobile numbers, though mobile costs 10 credits each so 50 credits goes quickly if you focus on phones. For ongoing enrichment you will need a paid plan, but the free credits are the right way to judge whether FullEnrich beats whatever single provider you use today.How much does FullEnrich cost?
FullEnrich uses pay-per-found credit pricing. The Free plan is $0 for 50 credits with no credit card. The Pro plan lands around $55 per month for roughly 1,000 credits, though tiers move so verify the current price on their site before committing. Enterprise is custom, typically sized in the tens of thousands of credits per year, and adds SSO and a dedicated account manager. Credit costs depend on the data type : a professional email is 1 credit, a personal email is 3, a reverse email lookup is 1, and a mobile number is 10. Unused credits roll over for 3 months on monthly plans and 12 months on annual plans, so you are not penalised for an uneven month. The headline advantage is that you only pay for data FullEnrich actually finds.How do FullEnrich credits work?
Credits are FullEnrich's currency and they are charged on a pay-per-found basis, meaning you are only billed when a request returns valid data. The cost varies by data type : 1 credit for a professional email, 3 for a personal email, 1 for a reverse email lookup, and 10 for a mobile number. If a row comes back empty, you keep the credit. This model is why FullEnrich can feel economical for email-led enrichment and expensive for high-volume mobile sourcing. Unused credits roll over for 3 months on monthly subscriptions and 12 months on annual ones. In practice, the smart play is to run email enrichment broadly and reserve mobile lookups for high-value prospects where a phone number justifies the 10-credit spend.FullEnrich vs Clay : which should I choose?
They solve different problems. FullEnrich is a focused waterfall enrichment tool : you give it contacts and it finds emails and mobiles at a high hit rate with a simple bulk or API workflow. Clay is a programmable GTM platform that does enrichment plus list building, AI research, conditional logic and outreach, but it is more powerful, more complex and more expensive, with a real learning curve. If you only need the best possible contact data on lists you already have, FullEnrich is faster and cheaper to operate. If you need to discover, enrich, score and act on prospects in one programmable engine, Clay wins. Many teams use both : Clay as the workflow brain, FullEnrich as a waterfall provider inside it. See our full FullEnrich vs Clay comparison for the breakdown.FullEnrich vs Apollo : what is the difference?
Apollo is an all-in-one platform built around its own database of 275M+ contacts, with search, filtering and built-in outreach sequencing. FullEnrich owns no database : it is a waterfall layer that queries 20+ third-party sources to enrich contacts you already identified. So Apollo is better when you want to discover net-new accounts and run sequences from one tool, while FullEnrich is better when you already have a list and want maximum data coverage, often beyond what Apollo's single database returns. They are not mutually exclusive : a common pattern is to prospect and sequence in Apollo, then push hard-to-find contacts through FullEnrich's waterfall to lift coverage. Read our Apollo review for the full picture on the database-plus-outreach side.Does FullEnrich find mobile phone numbers?
Yes, mobile number lookup is a core FullEnrich feature and one of the reasons teams pick it for cold calling. The editor cites a find rate around 80% on its waterfall overall, though phone hit rates vary by geography and seniority and are generally lower than email find rates everywhere in the industry. The catch is cost : a mobile number consumes 10 credits versus 1 for a professional email, which makes phone enrichment the premium use case. For cold-calling workflows that is often worth it, since one connected call can be worth far more than a credit. We recommend reserving mobile lookups for high-priority prospects rather than blasting your whole list, both to control credit burn and because not every contact warrants a phone number.Is FullEnrich GDPR compliant?
FullEnrich operates as a B2B data tool and processes professional contact data, which under GDPR can rest on a legitimate-interest basis when used for genuine B2B outreach. That said, compliance is shared : FullEnrich aggregates data from third-party providers, and you as the user remain the data controller responsible for your processing, your legal basis, and honouring opt-out and deletion requests. The low Trustpilot score the tool carries comes largely from private individuals who found their personal number in the system, which is a reminder that mobile data in particular raises privacy expectations. If you prospect EU contacts, review FullEnrich's privacy terms, document your legitimate interest, and have a clean process for removal requests. For the strictest EU posture some teams prefer providers limited to public sources, but they trade away coverage to get there.What are the best FullEnrich alternatives?
It depends on what you are optimising for. For raw power and programmable workflows, Clay is the heavyweight alternative, doing enrichment plus list building and outreach. For an all-in-one database with built-in sequencing, Apollo is the obvious choice. For the cheapest waterfall, Bettercontact undercuts most rivals at a low monthly price. For a strict EU and public-sources-only posture, Dropcontact is the privacy-first option. Other waterfall competitors include Datagma, Enrow and Prospeo, while Lusha and ZoomInfo lean on large owned databases. The honest summary : FullEnrich sits in the sweet spot of strong coverage, pay-per-found pricing and easy operation. You move off it mainly when you need either much more power (Clay), an owned database (Apollo, ZoomInfo) or a strict EU compliance stance (Dropcontact).Does FullEnrich integrate with Clay and HubSpot?
Yes to both. FullEnrich integrates natively with HubSpot, alongside Salesforce and Pipedrive, so you can auto-enrich CRM records as they are created instead of exporting CSVs. The Clay integration is a standout : FullEnrich can run as a provider inside a Clay table, which means you get its waterfall coverage within Clay's broader automation engine rather than choosing one over the other. Beyond those, FullEnrich connects to n8n, Make and Zapier for no-code automation, and exposes a public API documented at docs.fullenrich.com for anything custom. The one thing it will not do is send your outreach, since the product has no sequencing, so you always pair it with a dedicated sending tool downstream of the enrichment.What is waterfall enrichment?
Waterfall enrichment is a method where, instead of querying a single data vendor, you query several in a defined order and stop at the first one that returns a valid result. FullEnrich chains 20+ premium sources this way : it tries provider one, and if no email or number comes back it cascades to provider two, then three, and so on. The payoff is coverage. Any single provider typically finds 40 to 60% of contacts, but cascading across many lifts the combined find rate past 80% according to FullEnrich, because each source has different strengths by region, seniority and data type. The pay-per-found model fits this perfectly : you only pay when the cascade actually surfaces data, so the extra providers in the chain do not cost you anything on the rows that come back empty.
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