1. [Compare](/compare.txt) 2. Ocean vs FullEnrich # Ocean vs FullEnrich: pricing and how they compare 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. [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api) [See FullEnrich pricing](#how-much-does-fullenrich-cost) Ask AI to compare * [Ask Claude to compare Ocean and FullEnrich (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20FullEnrich%20for%20B2B%20contact%20data%3A%20waterfall%20email%20and%20mobile%20enrichment%2C%20credit%20costs%2C%20find%20and%20bounce%20rates%2C%20people%20and%20company%20search%2C%20MCP%20and%20HubSpot%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-fullenrich%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and FullEnrich (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20FullEnrich%20for%20B2B%20contact%20data%3A%20waterfall%20email%20and%20mobile%20enrichment%2C%20credit%20costs%2C%20find%20and%20bounce%20rates%2C%20people%20and%20company%20search%2C%20MCP%20and%20HubSpot%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-fullenrich%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and FullEnrich (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20FullEnrich%20for%20B2B%20contact%20data%3A%20waterfall%20email%20and%20mobile%20enrichment%2C%20credit%20costs%2C%20find%20and%20bounce%20rates%2C%20people%20and%20company%20search%2C%20MCP%20and%20HubSpot%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-fullenrich%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and FullEnrich (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20FullEnrich%20for%20B2B%20contact%20data%3A%20waterfall%20email%20and%20mobile%20enrichment%2C%20credit%20costs%2C%20find%20and%20bounce%20rates%2C%20people%20and%20company%20search%2C%20MCP%20and%20HubSpot%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-fullenrich%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and FullEnrich (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20FullEnrich%20for%20B2B%20contact%20data%3A%20waterfall%20email%20and%20mobile%20enrichment%2C%20credit%20costs%2C%20find%20and%20bounce%20rates%2C%20people%20and%20company%20search%2C%20MCP%20and%20HubSpot%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-fullenrich%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) Updated November 13, 2026. [See sources](#sources) Used by teams at * Coinbase * Revolut * Stripe * HubSpot * Harmony * Productboard * Twilio * Qualtrics * Seismic * Datadog * Jeeves * Plaid * Gartner * PostHog * Decagon * Orb * Rippling * Copy.ai * Aircall * beehiiv * TextExpander * Intercom * Deel * Radisson Hotel Group * Schneider Electric * Swisscom * Micron Technology * GSK * Sony * [How they differ](#how-they-differ) * [Comparison](#ocean-vs-fullenrich) * [FullEnrich cost](#how-much-does-fullenrich-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-fullenrich) * [Alternatives](#fullenrich-alternatives) * [FAQ](#fullenrich-faq) --- ## How do Ocean and FullEnrich differ? ### ![FullEnrich logo: FullEnrich alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/fullenrich-mark.webp?width=256) FullEnrich Work 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. ### Ocean 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. --- ## FullEnrich and Ocean features, side by side What buyers weigh, grouped by the job each part does. A light blue background marks the stronger side. __Ocean vs FullEnrich comparison__ | 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. | --- ## How much is FullEnrich? FullEnrich prices by credits, not seats. Every plan includes unlimited users, and you spend credits only when verified data is found. * 50 credits to start, no card, with bonus credits for inviting teammates. About 50 work emails or 5 mobiles: Free trial * 1,000 credits at $0.055 each, on a slider up to 100,000 and beyond. Reviewers quote $79.50 for 1,500, $255 for 5,000 and $499 for 10,000. Includes search, CRM integrations, API, MCP and rollover for 3 months monthly or 12 yearly: Pro from $55 a month * Custom: priority support, custom rate limits, a dedicated account manager, bring-your-own key, SSO and security add-ons, reseller agreements and sub API accounts: Enterprise ### What the price leaves out 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. ### How Ocean charges 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 pricing](/pricing.txt) --- ## Should you choose Ocean or FullEnrich? FullEnrich finds the contact details. Ocean decides which companies deserve them. ### Choose FullEnrich if * You want the highest reach for work emails and mobiles in one account * You’d rather not build and maintain a waterfall in Clay * You want unlimited users and pay only for what it finds ### Use both if * You use Ocean to pick the accounts and FullEnrich to find the contacts, so credits go on companies that look like your wins * You rank a list with Ocean before spending 10 credits on each mobile [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want the ICP learned from your won and lost deals, as segments with win rate, cycle and deal size * You want the reason on every account and an exact count of the market * You want ranked accounts pushed natively into your CRM * You’d rather not buy contact data on companies that don’t fit [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from FullEnrich to Ocean Five steps. Most teams keep FullEnrich for contact data and add Ocean to choose the accounts. ### 1. Export a list you enriched Export a list you enriched with FullEnrich, then run the companies through Ocean to see how many fit your closed-won pattern. ### 2. Check your credit mix See how many credits went to mobiles compared with work emails, and what share of lookups found nothing. ### 3. Connect your CRM Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like. ### 4. Review the segments and scores Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell. ### 5. Send scored accounts Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences. ### Questions to ask before you rely on FullEnrich for targeting * **What find and bounce rates do we get on our own list, by region?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **How much of our spend goes to mobiles, and how many connect?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **Does it integrate with our CRM, or only HubSpot and no-code tools?** Expect export and no-code connectors first, with two-way sync tied to the plan; confirm what is live on yours. * **Which providers sit behind the waterfall for our target countries?** 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 Ocean](https://book.ocean.io/inbound/api) --- ## How do other FullEnrich alternatives compare to Ocean? The right alternative depends on what you use FullEnrich for. Here’s what each is built for and where Ocean starts. ### [![Clay logo: Clay alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/clay-mark.webp?width=192)Clay](/compare/ocean-vs-clay.txt) * Built for: GTM engineers who assemble custom enrichment and research workflows from many data sources. * Where Ocean starts: Ocean starts from your closed-won deals and ranks the market, instead of a build. ### [![Apollo logo: Apollo alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/apollo-mark.webp?width=192)Apollo](/compare/ocean-vs-apollo.txt) * Built for: Contacts and sequencing in one tool, with published self-serve plans. * Where Ocean starts: Ocean starts from which accounts deserve outreach, then pushes contacts to Apollo, Instantly or Lemlist sequences. ### [![LeadMagic logo: LeadMagic alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/leadmagic-mark.webp?width=192)LeadMagic](/compare/ocean-vs-leadmagic.txt) * Built for: GTM engineers and agencies that want a cheap, API-first layer to find and verify emails and mobiles inside Clay and sequencers. * Where Ocean starts: Ocean decides which companies are worth enriching, ranked by fit learned from your won and lost deals, with the reason on each. ### [![ZoomInfo logo: ZoomInfo alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/zoominfo-mark.webp?width=192)ZoomInfo](/compare/ocean-vs-zoominfo.txt) * Built for: Contact and direct-dial volume, with third-party intent, in one contract. * Where Ocean starts: Ocean ranks accounts from your closed-won deals instead of selling a database. ### [![Cognism logo: Cognism alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/cognism-mark.webp?width=192)Cognism](/compare/ocean-vs-cognism.txt) * Built for: Teams selling into Europe that need phone-verified mobile numbers and GDPR-focused data. * Where Ocean starts: Ocean ranks the accounts first, then finds the contacts. --- ## FullEnrich pricing and alternatives: common questions Short answers on what FullEnrich does, what it costs, how Ocean compares and what to check before you buy. **What is FullEnrich?** 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. **How much does FullEnrich cost?** 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. **Does FullEnrich charge per seat?** 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. **Does FullEnrich learn from my won and lost deals?** 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. **Does FullEnrich have an MCP server?** 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. **Can I use Ocean and FullEnrich together?** Yes. Ocean picks the accounts and FullEnrich finds the emails and mobiles, so you spend credits on companies that look like your wins. **Is FullEnrich ready for an enterprise security review?** 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. **How does Ocean find lookalike companies?** 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. --- ## Sources (14) checked November 13, 2026 * [FullEnrich](https://fullenrich.com/) * [FullEnrich pricing](https://fullenrich.com/pricing) * [FullEnrich integrations](https://fullenrich.com/integrations) * [FullEnrich MCP](https://fullenrich.com/mcp) * [FullEnrich security documents](https://fullenrich.com/security) * [FullEnrich API docs](https://docs.fullenrich.com/) * [FullEnrich review (SyncGTM, a competitor)](https://syncgtm.com/blog/fullenrich-review) * [FullEnrich pricing (Hack’celeration, third party)](https://hackceleration.com/labs/fullenrich-pricing) * [Best contact enrichment for startups (Probo, a competitor)](https://www.probo.com/hub/best-b2b-contact-enrichment-2026) * [Clay](https://www.clay.com/) * [Apollo pricing](https://www.apollo.io/pricing) * [LeadMagic](https://leadmagic.io/) * [ZoomInfo pricing and product pages](https://www.zoominfo.com/pricing) * [Cognism](https://www.cognism.com/) --- ## What teams say about Ocean [All case studies](/case-studies.txt) --- > 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 [Read Brandwatch's story](/case-studies/brandwatch.txt) > With Ocean.io we can focus our ad spend on the right companies. > > — Martin Nørgaard Klausen, Co-Founder, Lead Motor, Zen Media [Read Zen Media's story](/case-studies/zenmedia.txt) Laura Salmina, Sales Developer at Tele2 IoT [Read Tele2 IoT's story](/case-studies/tele2.txt) Julian Berbec, Growth Marketer at Monta [Read Monta's story](/case-studies/monta.txt) > 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 [Read Clay's story](/case-studies/clay.txt) > Ocean.io reduced our average cost per Marketing Qualified Lead by 23%. > > — Garrett Butler, Digital Engagement, CBC [Read CBC's story](/case-studies/cbc.txt) > Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean. > > — Ezequiel, Head of Product Operations, Scalestack [Read Scalestack's story](/case-studies/scalestack.txt) > Ocean.io allows us to identify lookalike companies with incredible accuracy. > > — Maged, Head of Product, Surfe [Read Surfe's story](/case-studies/surfe.txt) --- [ocean.io logomark](/index.txt) ocean.io logotype [Home](/index.txt) [Discovery](/index.txt) [Workflows](/index.txt) [Context studio](/index.txt) [Search](/index.txt) [Assistant](/index.txt) [Leads](/index.txt) [API](/index.txt) [Extension](/index.txt) Recommendations Segments Models ### Recommendations 1,304 companies Tier 1 · 68 Tier 2 · 241 Tier 3 · 512 Tier 4 · 483 All CRM statuses 1 | Company | Score | Segment | Matched signals | Status | Location | | --------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------------ | ---------------------------------- | ------- | -------------- | | ![Moss logo](https://cdn-bunny.ocean.io/logos/getmoss.com/5cd47a9faf8cd98ac4805334af0a3a31be1edb6c.png?width=72) Moss | T1 92 | Mid-market FinTech | Industries: FinTech +2 | Net new | Germany | | ![Spendesk logo](https://cdn-bunny.ocean.io/logos/spendesk.com/680a4a70ec12e26b7920057edb74b23cfc8af299.png?width=72) Spendesk | T1 89 | Mid-market FinTech | Industries: FinTech +2 | Net new | France | | ![Brex logo](https://cdn-bunny.ocean.io/logos/brex.com/2c66f22edd5c0a2cb1eec442e151128e4e8019a8.png?width=72) Brex | T1 86 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Payhawk logo](https://cdn-bunny.ocean.io/logos/payhawk.com/a80969444c1e52f57ae3374048cab1e00e0fdb22.png?width=72) Payhawk | T1 83 | Mid-market FinTech | Industries: FinTech +2 | Net new | United Kingdom | | ![Ramp logo](https://cdn-bunny.ocean.io/assets/custom/pricing/ramp-logomark.webp?width=72) Ramp | T2 79 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Rydoo logo](https://cdn-bunny.ocean.io/logos/rydoo.com/32e0ac2fe888f3db8ff3e0eeef98dacb410722b6.png?width=72) Rydoo | T2 74 | Mid-market FinTech | Industries: Software +2 | Net new | Belgium | | ![Circula logo](https://cdn-bunny.ocean.io/logos/circula.com/7a2303a2a1b191b8bcda9eff1af4ec066361f27d.png?width=72) Circula | T2 68 | Mid-market FinTech | Industries: Software +2 | Net new | Germany | | ![Wallester logo](https://cdn-bunny.ocean.io/logos/wallester.com/91c6be05eb0e08e95d0b13c9b1216345389226c2.png?width=72) Wallester | T2 63 | Mid-market FinTech | Industries: Financial Services +2 | Net new | Estonia | ## Move with your market * Context learned from your closed-won deals * Accounts ranked on fit, with the reason shown * Direct push to Salesforce, HubSpot, Pipedrive and Attio [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api)