Ocean.io Review 2026

Last reviewed June 2026 by Théo Pascard

Ocean.io

Ocean.io

Lookalike company sourcing and firmographic data

Overview

Ocean.io turns one good-fit account into a list of companies that look just like it, using firmographic and lookalike modeling. For the curated-ICP motion — 200 to 500 tightly-matched targets rather than industrial scraping — it's the fastest way to expand a seed list without losing relevance. It shines when you already know what a winning account looks like; it's wasted if your ICP is still fuzzy.

Enjyn Score

iWeighted across 5 axes, computed from public review data (G2, Capterra) and reweighted on our rubric — then overridden on the axes we operate first-hand.
6.4/ 10
Output quality6.2/10
Time-to-value6.2/10
Price-to-value6.2/10
ICP fit (SMB / founder)7.5/10
Reliability & support6.2/10

How we calculate the Enjyn Score →

Who it's for

  • Teams expanding a tight, validated ICP
  • Account-based motions needing lookalikes

Not for

Teams without a clear seed account — garbage in, garbage out

Capabilities

  • Lookalike company search
  • Firmographic filters
  • Technographic filters
  • ICP fit scoring
  • List expansion from a seed
  • CRM export

Ratings & reviews

3.1
12 reviews ↗
5★
5
4★
3
3★
1
2★
0
1★
3

👍 Pros

Lead Generation 2Contact Information 1

👎 Cons

Tool Limitations 1Poor Filtering 1Outdated Data 1Limited Customization 1Inaccurate Data 1

Who actually uses it

By company size

SMB55%
Mid-Market35%
Enterprise10%

Top industries

  • Software / SaaS
  • Marketing & Advertising
  • Consulting

Primary use case

Used to build lookalike ABM lists from a seed account

Pricing

TierPriceCredits / moNotes
FreeFreeFree to start
Subscription$47/moFrom · billed yearly ($567) · 9k+ credits · unlimited seats

Our advice

We feed Ocean a client's best closed-won account and use the lookalike list as the top of a curated campaign — never as a bulk dump.

How we run it

We feed Ocean a client's best closed-won account and let the lookalike model expand it into a list of companies that look just like it. That seed becomes a lookalike list, which we filter in Clay, then run as a curated sequence — never a bulk dump. It's the sourcing step once an ICP is already validated, sized for the curated motion we run of 200 to 500 tightly-matched targets rather than industrial scraping. We skip it when the seed account is weak or the vertical is niche, since the model has less to work with and coverage drops.

The honest take

Where it breaks

When the seed account is weak or the vertical is niche — the lookalike model has less to work with and coverage drops.

The verdict

Worth it for account-based teams with a validated ICP. Skip it if you're still figuring out who to target.

Integrations

HubSpotSalesforcePipedriveLinkedIn

Alternatives

FAQ

When is Ocean.io worth it?

When you have a clear winning-account profile and want more of the same.

Ocean.io vs Apollo?

Apollo is a broad database; Ocean is a lookalike engine for expanding a precise ICP.

Who is Ocean.io for?

Teams expanding a tight, validated ICP and account-based motions that need lookalike companies. It needs a clear seed account to work — garbage in, garbage out.

Does Ocean.io have a free plan?

Yes — a free tier, then a subscription from $47/mo on usage-based pricing.

Is Ocean.io a full contact database?

It's a lookalike and ICP-expansion layer, strongest when you feed it a strong seed account; coverage drops on niche verticals.

What are the best Ocean.io alternatives?

Apollo for a broad self-serve database and Clay for flexible enrichment and signal-based lists.

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