FullEnrich runs a waterfall across 20+ data providers to find verified emails and mobile numbers for people you’ve already chosen, with unlimited users and credits you pay for only when it finds something. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
FullEnrichWork emails and mobiles from a waterfall, priced by results. A fit for teams that want reach without building it in Clay.
FullEnrich has no database of its own. It queries 20+ providers in sequence until it finds a contact, verifies each result with several checks and charges only for data it returns.
Deciding which companies are worth contacting, ranked by fit learned from your won and lost deals, with the reason on each.
Ocean is contextual intelligence for go-to-market. It reads what every company actually does from its own website, learns what good looks like from your closed-won and closed-lost deals, and ranks your whole market against it, with the reason behind each score. The ranked accounts arrive in your CRM, your rep queue or your AI agents.
What buyers weigh, grouped by the job each part does. A light blue background marks the stronger side.
| Topic | Ocean | FullEnrich |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | A people and company search with 30+ filters finds contacts and companies by criteria. We found no lookalike feature documented. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | It enriches contacts you choose, from search, a CRM list or a CSV. We found no description of learning fit from your won and lost deals. |
| The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Returns each email with its own bounce probability, so you know the expected deliverability. It doesn’t explain why a contact is worth reaching. |
| Coverage | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | No database of its own, so reach depends on the providers it queries. It claims an 80%+ find rate, and reviewers report 70% to 85% on US enterprise contacts and 50% to 60% in APAC and LATAM. |
| Contacts and data | ||
| Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Work email 1 credit, personal email 3, mobile 10 and reverse email lookup 1. A search that finds nothing costs no credits. |
| Waterfall enrichment and verification | Returns contacts for ranked accounts. It doesn’t run a customer-chosen waterfall across 20+ outside providers. | Core strength: a waterfall across 20+ providers with triple email verification, catch-all resolution, phone line and owner-name checks, and about 31% of bought data removed as invalid. |
| Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | No hiring, funding or intent signals, per reviewers. It returns contact and job-change details. |
| Workflow and pricing | ||
| CRM sync | Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | A native HubSpot integration, plus Clay, Zapier, Make, n8n, an API and CSV. HubSpot is the only native CRM. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP server for Claude, ChatGPT and other clients on the Pro plan, an API with search, enrichment and reverse lookup, and a command-line tool. |
| Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | Publishes a SOC 2 Type 2 report, a CAIQ Lite questionnaire and its latest penetration test, and a DPA and sub-processor list. Reviewers add EU hosting and deletion of enriched data after three months. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Pro from $55 a month for 1,000 credits, with unlimited users and a 50-credit trial. |
FullEnrich prices by credits, not seats. Every plan includes unlimited users, and you spend credits only when verified data is found.
A mobile costs ten times a work email, so phone-heavy lists drive the bill: 1,000 credits find about 1,000 emails or 100 mobiles. A Starter plan at $29 for 500 credits appears in some write-ups and isn’t on the current page. Annual billing saves roughly 11% to 20% depending on the source, and a profile or company lookup on its own costs 0.25 credit.
A flat-rate plan with credits included, or a custom plan built around your deals.
Contacts are charged only when one is found. Exports are free.
See Ocean pricingFullEnrich finds the contact details. Ocean decides which companies deserve them.
Choose FullEnrich if Use both ifFive steps. Most teams keep FullEnrich for contact data and add Ocean to choose the accounts.
Export a list you enriched with FullEnrich, then run the companies through Ocean to see how many fit your closed-won pattern.
See how many credits went to mobiles compared with work emails, and what share of lookups found nothing.
Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like.
Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell.
Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences.
Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.
Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.
Expect export and no-code connectors first, with two-way sync tied to the plan; confirm what is live on yours.
Expect a headline database size, because counts come from its own records and not your market; ask for coverage on your list.
Ocean is better because it tells it like it is: contextual intelligence to find your next deal, with the reason on every account.
Start using OceanThe right alternative depends on what you use FullEnrich for. Here’s what each is built for and where Ocean starts.
Clay
Apollo
LeadMagic
ZoomInfo
CognismShort answers on what FullEnrich does, what it costs, how Ocean compares and what to check before you buy.
A waterfall enrichment tool that queries 20+ data providers to find verified work emails, personal emails and mobile numbers, with a people and company search, an API, an MCP server and a HubSpot integration.
Pro starts at $55 a month for 1,000 credits, with unlimited users and a 50-credit free trial. A work email is 1 credit, a personal email 3 and a mobile 10, and a lookup that finds nothing is free.
No. Every plan includes unlimited users and credits are shared. Ocean is also not bought per seat, and its plans are priced on credits and your deal data.
We found no description of that. Ocean reads your CRM deals, clusters them into segments with win rate, cycle and deal size, and ranks every company against them.
Yes, for Claude, ChatGPT and other clients, included on the Pro plan. Ocean has an MCP server and a public API on the same data and lookalike engine.
Yes. Ocean picks the accounts and FullEnrich finds the emails and mobiles, so you spend credits on companies that look like your wins.
It publishes a SOC 2 Type 2 report, a CAIQ Lite questionnaire, its latest penetration test, a DPA and a sub-processor list. Ask for the current documents for your review.
Ocean reads what each company does from its own website, learns from your closed-won and closed-lost deals, and returns ranked matches with the reason on each one.
Today we can more confidently say we're reaching out to all the companies that could potentially buy from us.
Josh Pudnos,
Director of Commercial Operations, Brandwatch
With Ocean.io we can focus our ad spend on the right companies.
Martin Nørgaard Klausen,
Co-Founder, Lead Motor, Zen Media
Working with a trusted partner saves a ton of engineering time and ongoing AI costs. Speed and quality are higher out of the gate.
Stefan Kollenberg,
Data Partnerships, Clay
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.
Garrett Butler,
Digital Engagement, CBC
Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean.
Ezequiel,
Head of Product Operations, Scalestack
Ocean.io allows us to identify lookalike companies with incredible accuracy.
Maged,
Head of Product, Surfe
