Ocean vs Evergrowth: pricing and how they compare

Evergrowth is an agentic workspace where an assistant called Eva runs specialist agents that qualify, research and find contacts for accounts against criteria your team writes. Ocean uses contextual intelligence to find your next deal, with the reason on every account.

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Updated November 13, 2026. See sources

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How do Ocean and Evergrowth differ?

Evergrowth logo: Evergrowth alternatives, pricing and comparison with Ocean Evergrowth

Research, qualification and outreach drafting in one workspace, with a source on every answer. A fit for RevOps-led teams.

Evergrowth is an agentic GTM workspace. Your team writes a value proposition, ICP verticals with qualification criteria, and persona cards once in an Agent Training Center.

Ocean

Learning which companies fit from your own won and lost deals, then ranking the whole market with the reason on each account.

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.

Evergrowth 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 Evergrowth comparison
Topic Ocean Evergrowth
Finding the right accounts
LookalikesOcean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. It judges accounts that are already in your workspace or CRM. Its pages don’t describe a lookalike engine that finds new companies from your customers.
Learns your ICP from won and lost dealsOcean is stronger here. Learned automatically from your won and lost deals. A person writes the criteria. You can add a website and documents, such as a win-loss review, as sources for drafting. Its reference says configuring them isn’t fine-tuning a model.
The reason behind each account Segment, score, tier and matched signals on every account and every export. Each verdict shows its reason and the public source behind every criterion, with the date. A not-a-fit names the rule it failed.
Segments your marketOcean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. Verticals, each with its own qualification rows and research questions, plus persona cards for who buys.
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. A waterfall across 30+ sources that charges only when it finds a result: €0.04 an email and €0.22 a phone on every plan.
Buying signals Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. Account research agents answer the signal questions you configure, with a Signal Score from 0 to 100. There’s no fixed list of signals.
Research and outreach drafting Ranks accounts and hands them off. Research and outreach stay in your own tools. Account research, account plans, play copywriting and voice roleplay for reps, all in the workspace.
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. Two-way sync with HubSpot, Salesforce, Microsoft Dynamics, Pipedrive, Zoho and Attio, on the fields you map.
AI agents and MCP MCP server, public API and a chat agent on the same data and lookalike engine. Eva is reachable from Claude, ChatGPT and Copilot over MCP on every plan, and from Slack and Microsoft Teams.
Security and company scale SOC 2 Type II and GDPR, per Ocean’s own site. Lists SOC 2 Type 2, ISO 27001 and GDPR, with the SOC 2 report and ISO certificate available on request and a published DPA and MSA.
Pricing Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. Credit-based with unlimited users: Starter from €747 a month, Pro €1,957, Pro+ €4,587, Enterprise by quote, plus a one-time onboarding fee.

How much is Evergrowth?

Evergrowth charges in credits for the work agents do, with no seat fees. The plan you’re offered depends on your team size and sales motion.

Starter, billed monthly, for 1 to 3 salespeople. It covers up to about 6,600 account qualifications, 3,300 contacts or 18,000 emails a month.
€747 a month
Pro, for 7 to 15 salespeople, adding custom teams, credit limits, real-time triggers and enforced 2FA. Pro+ starts at €4,587 a month for 41.7K credits.
€1,957 a month
Enterprise, at 83K+ credits a month, adding an admin activity log, parent and child accounts and webhooks.
By quote

What the price leaves out

Onboarding is a one-time fee of 15% of the annual plan price. Unused credits roll over for up to 3 months. Directories list $881, $2,309 and $5,412 for the same three plans, which are the euro prices in dollars, so there’s no real conflict between them.

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

Should you choose Ocean or Evergrowth?

Evergrowth judges and researches the accounts you give it, against criteria you write. Ocean learns what a good account looks like from what you closed.

Choose Evergrowth if

  • You want one workspace for qualification, research, contacts and play drafting
  • You have RevOps or GTM engineers who will write and tune the criteria
  • You want verdicts with a source on every criterion

Use both if

  • You use Evergrowth’s agents and want them to run on accounts ranked from your own deals
  • You want Ocean to pick the accounts through its API or MCP, and Evergrowth to research and write to them
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Choose Ocean if

  • Your main question is which companies in the whole market fit, not whether this one does
  • You want the ICP learned from your won and lost deals, not typed into a training center
  • You want market segments with win rate, deal size and cycle time
  • You want fit ranking without writing and maintaining criteria
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How to switch from Evergrowth to Ocean

Five steps. Most teams keep Evergrowth for research and drafting and add Ocean to choose the accounts it works.

  1. Export your ICP verticals and verdicts

    Note the qualification criteria and the accounts marked ICP Yes, then run the same companies through Ocean to compare which ones it ranks highest and why.

  2. Check your credits and billing

    Find your plan, credit balance and renewal date. Credits roll over up to 3 months, and onboarding was a one-time fee.

  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 Evergrowth for targeting

  • Who writes and maintains the qualification criteria, and how do they change as we win and lose deals?

    Expect your team to own it, because the tool supplies the pieces and not the finished model; budget the hours.

  • Can it find companies we haven’t listed, or only judge the ones we bring?

    Expect a polished demo on sample data, because that is where it looks best; ask for a test on your own accounts.

  • What does a full run on one account cost in credits, from qualification to a verified email?

    Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.

  • How does the verdict compare with our own closed-won accounts in a test on our list?

    Expect a score or a label with little behind it, because explanations are the hard part; ask about one real account.

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

How do other Evergrowth alternatives compare to Ocean?

The right alternative depends on what you use Evergrowth for. Here’s what each is built for and where Ocean starts.

Evergrowth pricing and alternatives: common questions

Short answers on what Evergrowth costs, how its agents decide fit, how Ocean compares and what to check before you buy.

What is Evergrowth?

An agentic GTM workspace for B2B revenue teams. An assistant called Eva runs 12 specialist agents for account qualification, research, contact finding, email and phone lookup, account planning, copywriting and coaching, and syncs the results with your CRM.

How does Evergrowth decide whether an account fits?

Your team writes ICP verticals with qualification rows, and the Account Qualification agent answers each row for every account with a source and a reason. Ocean learns the fit from your own won and lost deals and ranks the whole market against it.

How much does Evergrowth cost?

Credit-based with unlimited users. Starter is €747 a month, Pro €1,957 and Pro+ €4,587, with Enterprise by quote. Onboarding is a one-time fee of 15% of the annual plan price. Unused credits roll over for up to 3 months.

Does Evergrowth learn from my won and lost deals?

It doesn’t describe doing so. Its criteria are written by your team, and its reference says configuring them isn’t fine-tuning a model. Ocean reads your CRM deals, learns the ICP and ranks the market against it.

Does Evergrowth have an MCP server?

Yes. You can ask Eva from Claude, ChatGPT and Copilot over MCP, on every plan. Ocean has an MCP server and a public API on the same data and lookalike engine.

Does Evergrowth integrate with my CRM?

Yes: two-way sync with HubSpot, Salesforce, Microsoft Dynamics, Pipedrive, Zoho and Attio on the fields you map. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio.

Is Evergrowth ready for an enterprise security review?

It lists SOC 2 Type 2, ISO 27001 and GDPR, publishes its DPA and MSA, and says the SOC 2 report is available on request. Ask for the report as you would with any vendor. It became a software product in 2024, so check customer references for your size.

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 (15)

checked November 13, 2026

What teams say about Ocean

All case studies
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
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

Laura Salmina, Sales Developer at Tele2 IoT

Read Tele2 IoT's story

Julian Berbec, Growth Marketer at Monta

Read Monta's story
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
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.

Garrett Butler,

Digital Engagement, CBC

Read CBC's story
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
Ocean.io allows us to identify lookalike companies with incredible accuracy.

Maged,

Head of Product, Surfe

Read Surfe's story

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