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FullEnrich
Waterfall enrichment tool that searches more than 20 data vendors to find work emails and mobile numbers for B2B contacts, with credit-based pricing.
Outbound sales teams and GTM engineers who need verified mobile numbers and work emails at volume, including teams that enrich through an API or Clay.
Teams that want a full sales engagement suite or a prospect database to search inside the same tool.
Verdict
FullEnrich is a B2B contact enrichment company based in San Francisco, California, that began in Paris and launched in January 2024. Its founders are Benjamin Douablin, Grégoire Démogé, and Jean-Luc Manceron. Its tool sends each contact through more than 20 data vendors in a waterfall and returns verified work emails, personal emails, and mobile numbers, with credits charged only for data found. Outbound teams use it to reach more prospects by phone without managing several data contracts.
Score Breakdown
How FullEnrich scores in the categories that matter to its buyers.
Pricing
FullEnrich publishes credit-based plans. Mobile numbers cost more credits than emails.
| Plan | Price | What stands out |
|---|---|---|
| Free trial | $0 | 50 credits to start, no credit card |
| Pro | $55 / month | 1,000 credits a month, about $0.055 per credit |
| Higher volume | Lower per-credit rate | Larger monthly credit plans; unused credits roll over |
| Credit costs | Per contact | Work email 1 credit, personal email 3 credits, mobile 10 credits |
The Field at a Glance
How FullEnrich compares with other AI GTM data enrichment vendors we reviewed, by Overall Score and relative typical engagement cost.
FullEnrich scores 7.7 in AI GTM data enrichment, under Surfe (7.8) and Wiza (7.8), and ahead of Prospeo (7.6). Relative cost lands lower for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Mobile number enrichment | Strong | Waterfall across 20+ vendors targets phone coverage. |
| Work email enrichment | Strong | Emails are verified before delivery. |
| API and Clay workflows | Strong | Built for GTM engineers as well as reps. |
| Pay only for found data | Strong | Credits are charged when data is returned. |
| Prospect search database | Weak | Enrichment tool, not a search database. |
| Sequencing and dialing | Weak | Pairs with other engagement tools. |
Who it’s for
Good fit
- Outbound SDR teams
- GTM engineers using Clay
- Agencies running cold outreach
Poor fit
- Teams wanting an all-in-one sales suite
- Very low-volume users
- Buyers needing intent data
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“FullEnrich powers 11x's new version. Our coverage went from 200 million to 1.6 billion contacts, letting us win deals where competitors had zero coverage. It's the simplest solution by far and more economical than building in-house.”
“It stopped our SDRs complaining to me every day about poor data and bad numbers. My Slack and inbox are now a much nicer place.”
A mobile number costs 10 credits on FullEnrich, so the 1,000 credits in the $55 Pro plan cover about 100 phone numbers. Phone-heavy teams burn through credits quickly.
Key Leadership
Benjamin Douablin
Co-founder and CEO
Methodology
This page is an independent evaluation of FullEnrich for buyers comparing options in ai gtm data enrichment. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. FullEnrich did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai gtm data enrichment)
- Mobile number find rate
- Email verification
- Credit-based pricing fit
- Breadth beyond enrichment
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
FullEnrich is graded here as ai gtm data enrichment. Criteria scores can move as more review volume and product checks are added.