Note editoriale : cette version francaise reprend la structure et les informations de la version anglaise, avec les references produit adaptees a Outly. La priorite SEO reste la version anglaise.
Ocean.io Avis 2026: Great Concept, But Does It Deliver?
À retenir
Ocean.io is a B2B account discovery platform built around AI lookalike search. Input a company URL, get a list of companies that look and behave like your best customers. For niche targeting, nothing else does this as cleanly.
The underlying contact data has real quality issues though, and the G2 score (3.1/5 from 12 aviss) reflects that. The lookalike engine works. What sits beneath it doesn't always.
Tarifs is credit-based with a slider model: subscription starts at $0.071/credit (minimum 750 credits), pay-as-you-go at $0.081/credit (minimum 1,000 credits). Credits roll over for 6 months on subscription.
Outly is referenced later in this avis as the prospection layer that picks up where Ocean.io stops, turning the account list into actual LinkedIn conversations.
What Is Ocean.io and What Does It Actually Do?
Most B2B data tools start with the same question: who do you want to reach? You pick a job title, a company size, an industry, and you get a list.
The problem is that filters like "SaaS, 50-200 employees, US-based" describe a category, not your actual ICP.
Your best customers share something more specific than that, the way they operate, the tools they use, the problems they're trying to solve. Standard filters can't capture it.
Ocean.io is built around a different starting point. Instead of asking you to describe your ICP in filters, it asks you to show it one.
Give it the URL of a company you've already closed, and it finds companies that look and behave like them across a database of 35M company profiles and 330M data points.
That's the lookalike search, and it's what the entire platform is built around.
Ocean.io launched in 2017, is headquartered in Copenhagen, Denmark with a US office in Minneapolis, and serves B2B sales and marketing teams doing account-based prospection.
The platform has expanded significantly beyond its original list-building core, now including waterfall enrichment across 16+ data sources, direct phone numbers, double email verification, and a full API with MCP and Clay integration.
This avis covers:
- What you need to know before buying Ocean.io
- What fonctionnalités Ocean.io actually offers
- How much it costs
- You have the account list. Now what?
- What Outly is
- What Outly can do and how much it costs
- How Ocean.io and Outly fit together
- So, is Ocean.io worth it?
What Do You Need to Know Before Buying Ocean.io?
✅ The lookalike search actually works for niche targeting
This is the reason people buy Ocean.io and the reason they stay. Standard filters can't build a list of crypto companies, wrongful termination law firms, or IoT manufacturers in Southeast Asia.
Ocean.io can, because it categorizes companies based on what they actually do, not the industry bucket they self-report.
On G2 and Capterra, the lookalike search is the most consistently praised feature across every positive avis. One aviser who described testing every data tool on the market called Ocean.io the only software for building the highest-quality ABM lists.
✅ Context Vector Data goes deeper than firmographics
Ocean.io crawls the full landing page of every company in its database and builds what it calls Context Vector Data: a representation of what a company does and how it behaves, not just its size, location, and industry code. This is what powers the lookalike matching and why it surfaces companies that keyword searches miss.
✅ Unlimited seats on every plan
No per-seat tarifs. Every plan includes unlimited users, which matters for sales and marketing teams that want shared access to lists without the per-user cost stacking up.
✅ Waterfall enrichment across 16+ data sources
Rather than pulling contact data from a single source, Ocean.io sequences lookups across 16+ providers to maximize coverage. This is a meaningful upgrade from single-source tools, particularly for international contacts where any one provider has gaps.
✅ Native Clay integration built into the product
Ocean.io lists Clay directly on its tarifs page alongside API, MCP, and Webhook support. For teams already running Clay workflows, the integration is first-party, not a workaround.
⚠️ Contact data quality is the platform's biggest weakness
The G2 rating of 3.1/5 from 12 aviss tells most of the story. Multiple avisers flag outdated contacts, bad emails, and a database that doesn't justify the price.
The pattern across aviss is consistent: the company-level matching works, the contact data beneath it doesn't always. Teams doing high-volume outbound should treat Ocean.io as an account discovery layer, not a contact data replacement.
Note:
Ocean.io's waterfall enrichment across 16+ sources helps close the contact data gap, but for teams where email accuracy is critical, pairing it with a dedicated enrichment tool like Clay is the recommended approach.
⚠️ Company structure data is missing
Ocean.io doesn't reliably tell you whether a company is a parent, subsidiary, or standalone entity. For enterprise ABM teams targeting specific divisions within larger organizations, this forces manual research that eats into the time the tool is supposed to save.
⚠️ Export customization is limited
Multiple avisers on G2 and Capterra flag limited customization options for data exports. For teams with specific CRM field mapping requirements or custom list structures, this creates friction when moving data downstream.
⚠️ Tarifs is not transparent on the surface
The slider-based credit model means the actual cost depends on volume and billing choice, which isn't immediately obvious before you reach the tarifs page. Third-party avis sites still show the old fixed-tier tarifs ($79/$129/month), which no longer reflects how Ocean.io actually charges.
What Features Does Ocean.io Actually Offer?
AI Lookalike Search
The core feature . Input a company URL or name, and Ocean.io returns a list of companies that match it behaviorally, not just firmographically.
The matching pulls from its full crawl of company landing pages, meaning it picks up on what companies actually do rather than the category they've been assigned.
This is where Ocean.io genuinely outperforms standard data tools. ABM teams working in niche verticals, emerging industries, or markets where SIC codes don't capture real behavior get lists from Ocean.io that they can't replicate anywhere else.
Context Vector Data and Normalized Data
Ocean.io crawls every company's landing page and builds a semantic representation of what that company does. Normalized Data then unifies inconsistent naming, formatting, and categorization across sources into a single comparable structure. These two layers are what make the lookalike matching work at the quality level it does.
Waterfall Enrichment (16+ Data Sources)
Contact enrichment runs sequentially across 16+ providers. When one source doesn't have a record, the next one in the waterfall is queried automatically. This improves coverage significantly, particularly for international contacts and companies in less-indexed markets.
Double Email Verification including Catch-Alls
Emails go through two verification passes including catch-all domain handling, which most single-pass verifiers skip or flag conservatively. Credits are only charged for verified results.
Direct Phone Numbers
Included on all plans, not a separate credit tier.
AI Hub
Ocean.io's workspace for running prospecting directly from the platform. Connects to no-code tools, API, MCP servers, Webhooks, and Clay for teams that want to embed Ocean data into larger GTM workflows.
CRM Integrations
Native HubSpot and Pipedrive integrations. Salesforce and Scalestack are also supported. CRM sync pulls recent win data back into the lookalike search to keep targeting calibrated to actual closed deals.
People Lookalikes
Beyond company matching, Ocean.io also surfaces individual contacts who resemble your best-performing customer contacts, layering persona targeting on top of account targeting.
How Much Does Ocean.io Cost?
Ocean.io uses a slider-based credit model rather than fixed tiers. You choose the number of credits you need, and the per-credit rate adjusts based on volume and billing type.
Subscription
| Detail | Value |
|---|---|
| Minimum credits | 750/month |
| Starting rate | $0.071/credit |
| Example | 800 credits = $56.80/month (billed monthly) |
| Monthly billing discount | Save 15% |
| Yearly billing discount | Save 25% |
| Credit rollover | 6 months |
| Pay-as-you-go discount | 15% off top-ups |
Pay As You Go
| Detail | Value |
|---|---|
| Minimum credits | 1,000 |
| Rate | $0.081/credit |
| Example | 1,000 credits = $81 one-time |
| Credit validity | 3 months |
| Recurring charges | None |
Both plans include: AI-powered lookalike filters, Platform/API/MCP/Webhook/Clay integration, waterfall enrichment (16+ sources), double email verification including catch-alls, direct phone numbers, HubSpot and Pipedrive integrations, Chrome extension, unlimited seats, and free exports.
API tarifs is separate and available on request.
Subscription credits roll over for 6 months, which makes Ocean.io more forgiving than tools with monthly resets for teams with variable outbound volume.
Pay-as-you-go credits expire after 3 months, so model your usage before buying a large block.
You Have the Account List. Now What?
Ocean.io's job ends when it hands you a list of companies that look like your best customers.
Ce que l'outil faitn't do is tell you who to contact at those companies, find their verified email addresses, or send them a LinkedIn message.
That gap is where most ABM workflows stall. The account list looks great on paper. Converting it into an actual pipeline requires two more steps that Ocean.io doesn't cover.
The first is finding the right contacts at each account. Ocean.io has a native integration with Clay , listed directly on its tarifs page.
The typical workflow: Ocean.io builds the target account list, Clay enriches each account with decision-makers and verified contact data across multiple sources, and prepares the list for prospection.
If you want the full picture on how Clay works, we've covered it in our Clay avis .
The second is actually reaching those contacts. A verified list still doesn't book meetings on its own.
For teams doing LinkedIn prospection, connection requests , message sequences , and follow-ups need an automation layer that can run at volume without putting accounts at risk.
That's where Outly fits.
It takes the enriched contact list and runs the LinkedIn prospection: connection requests, AI-personalized message sequences, reply handling , and meeting booking, all from a cloud-based dedicated IP that keeps accounts safe.
What Is Outly?
Outly is a cloud-based LinkedIn and email prospection automation platform built for B2B équipes commerciales and agences who want to scale LinkedIn prospecting without manual work or the risk of getting accounts flagged.
It runs entirely in the cloud, no browser extension, no desktop app, no automation that stops when your laptop closes.
Once you feed it a list, it handles connection requests, follow-up sequences, reply management, and meeting booking while your team focuses on closing.
What Can Outly Actually Do?
AI-Personalized LinkedIn Outreach
Outly uses AI Variables to write a unique first line for each prospect based on their LinkedIn profile: recent posts, job title changes, company news, shared connections.
Each message reads like it was written individually, because the personalization layer pulls live profile data before sending.
This is the core differentiator from other tools in this space, which send the same message to everyone. At scale, the difference in reply rates is meaningful.
Cloud-Based, 100% Safe
Outly runs on a dedicated cloud IP per account, not a Chrome extension. LinkedIn can detect browser-level automation.
Cloud-based infrastructure with per-account dedicated IPs produces a ban rate of 0.004%, meaning accounts run safely even at full daily volume, with no need to monitor whether a browser is open.
AI Appointment Setter
When a prospect replies, Outly's AI Appointment Setter takes over. It handles the conversation automatically, asking discovery questions and booking qualified meetings directly into your calendar once a prospect signals interest.
For teams running prospection at volume, this removes the bottleneck that sits between a reply and a booked call.
SalesGPT Campaign Builder
Enter your ICP, product, and goal, and SalesGPT writes the full campaign: connection request, follow-up sequence, and reply handling logic. No copywriting from scratch. Teams can edit the output or run it as-is.
Multi-Channel Outreach
LinkedIn connection requests, DMs, and InMails all run natively. Email prospection sequences layer in for contacts where LinkedIn isn't the primary channel. Both channels run from the same campaign view, with unified tracking.
AI Commenting
Outly can comment on a prospect's LinkedIn posts before sending a connection request, warming up the relationship before prospection hits.
For ICP-matching prospects who are active on LinkedIn, this significantly improves acceptance rates on the connection request.
Voice Clone and Video Clone Messaging
At higher message volumes, text-based prospection blends in. Outly supports personalized voice notes and video messages cloned from a short sample, adding a channel that most sequences don't use and that gets noticed in a crowded inbox.
White-Label for Agencies
Agencies can run the full platform under their own brand. Clients never see Outly.
The white-label tier is the highest-margin, lowest-churn segment in the product, with over 150 agences currently running it this way, managing anywhere from 10 to 50+ client accounts simultaneously.
How Much Does Outly Cost?
Outly has three self-service tiers, all billed flat-rate per month. Annual billing takes 35% off across all plans.
| Plan | Monthly | Meilleurs For |
|---|---|---|
| Basic | $59/account/month | Solopreneurs starting their first automated prospection campaign |
| Advanced | $79/account/month | B2B sales reps who need unlimited campaigns and A/B testing |
| Professional | $99/account/month | Teams and agences managing multiple LinkedIn accounts |
Email prospection is available as an add-on at $15/month per email account.
For teams that want prospection fully handled, the Managed Service starts at $349/month, covering strategy, copywriting, list-building, and campaign management run by the Outly team.
Done-for-you competitors in this space charge 4-5x more for comparable fulfillment.
White-label is available at custom tarifs for agences who want to run the full platform under their own brand, with clients never seeing Outly.
There's a 14-day essai gratuit on all self-service plans, no credit card required.
How Do Ocean.io and Outly Fit Together?
The recommended workflow for teams getting the most out of Ocean.io has three steps. Ocean.io finds the lookalike companies.
A contact enrichment tool like Clay , which has a native integration with Ocean.io listed directly on its tarifs page, enriches each account with verified contacts and decision-maker details.
Then Outly runs the LinkedIn prospection. If you want a full breakdown of how Clay works in this middle step, we've covered it in our Clay avis .
For the Ocean.io and Outly piece specifically:
| Outil | Ocean.io | Outly |
|---|---|---|
| Job | Find lookalike target companies | Run LinkedIn prospection to contacts at those companies |
| Input | A URL of your best customer | An enriched, prospection-ready contact list |
| Output | A list of target accounts | Booked meetings |
| Starting Price | $56.80/month | $59/account/month |
Ocean.io defines who to target. Outly starts the conversation and books the meeting. Clay sits between them in the enrichment step, finding the right contacts at each account Ocean.io surfaces.
None of these tools overlap with each other. Each one does a distinct job that the others don't cover.
So, Is Ocean.io Worth It?
For the right use case, yes . If your ICP lives in a niche that standard filters can't describe, Ocean.io's lookalike search finds accounts you genuinely can't source anywhere else.
The ABM teams that get the most value from it are the ones doing account-level targeting in specific verticals, not broad outbound at high volume.
The honest caveat is the contact data . The 3.1/5 G2 score and the pattern of aviss pointing to data quality issues mean Ocean.io works best as an account discovery layer in a stack , not as a standalone contact data provider.
Pair it with Clay for enrichment and you close that gap.
And once Clay has enriched the list, the last step is actually reaching those contacts.
For LinkedIn-first prospection, Outly handles that part of the workflow without adding complexity to the two steps before it.
Wow your leads by cloning yourself and sending personalized videos and voice notes to each lead on LinkedIn.
If you don't reply to leads within 5 mins, your chances of converting them fall by 50%. Our AI replies on your behalf instantly! (and yes, you can train it)
Don't shoot in the dark. Get detailed analytics on what's working
Outly allows you to invite other team members, so that they can add their LinkedIn Account, run prospection campaigns and get amazing results just like you.