Vector identifies the people visiting your site and engaging with your ads, scores your target accounts from those signals and advertises to the buying committee by name. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
VectorContact-level ABM from one platform, with a stated reason on each score. A fit for marketing and sales teams that want one view.
Vector began as a website visitor identification and contact-level advertising product. On September 16, 2026 it relaunched as a full ABM platform with signals, a scoring model called Specter, Journeys, advertising with a LinkedIn bid agent, Stories for attribution and sales notifications.
Choosing which companies belong on the target list in the first place, learned from your won and lost deals, across the whole market.
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 | Vector |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | It works on the target accounts you select and on visitors and ad engagers. It doesn’t describe finding companies that resemble your customers. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Specter stages accounts you track by how close their signals sit to a purchase, and an account “fits your ICP” as you define it. It doesn’t describe learning that ICP 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. | Each score comes with a human-readable explanation, the contacts behind it and how recent each signal is. |
| Segments your market | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Accounts are staged from Identified to Selecting to Customer, refreshed daily, with account stories tying won deals back to programs. |
| 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. | Identifies visitors by device fingerprint against an identity graph from publishers’ hashed emails, and enriches the buying committee automatically, with hashed email, mobile and MAID for ads. |
| Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | 30+ signals: visitors, contact-level research, job changes, funding, earnings, webinars, ad and social engagement, with custom signals built from a plain-language prompt. |
| Ad activation | Ranks accounts and hands them off. Ads run in your own tools. | Syncs signal-based audiences to LinkedIn, Google, Reddit and ChatGPT Ads, with Meta and Bing in beta, and a bid agent that adjusts LinkedIn bids every 15 minutes. |
| 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. | Native HubSpot, Salesforce and Pardot, with Marketo and Eloqua coming soon, plus Slack alerts. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP for ChatGPT, Claude and Gemini with read-only access to LinkedIn ad performance and site-visitor activity, by design. |
| Security and company scale | SOC 2 Type II and GDPR, per Ocean’s own site. | Lists SOC 2 Type 1, with a Type 2 audit in progress, and privacy compliance claims with a DPA on request. Identification is geofenced to the United States. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Three annual plans sized by site visitors and ad spend, unlimited seats. No amounts are published. A reviewer puts the entry at about $36,000 a year. |
Vector sells one platform on an annual contract. Two numbers pick your plan: unique monthly site visitors and total monthly ad spend, whichever puts you in the larger plan.
Vector’s pricing page shows no dollar amounts. A reviewer puts the entry at about $36,000 a year, and older reviews quote the earlier product as $399 to $999 a month for visitor identification, which no longer matches the plans. Plans differ in scale, not features, and allowances for identification and AI research are included. Ask what your traffic and ad spend would cost.
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 pricingVector aims ads and alerts at the buyers around your target accounts. Ocean helps choose which accounts those should be.
Choose Vector if Use both ifFive steps. Most teams keep Vector for signals and ads and add Ocean to choose the target list.
Export the accounts Vector tracks with their stages, then run them through Ocean to see how many fit your closed-won pattern.
Find your plan, traffic and ad-spend limits and renewal date, and which bid agents and integrations you use.
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 rules, filters and signals you set, because a model of your own deals is not what it leads with; ask for a test on your accounts.
Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list.
Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list.
Expect a trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope.
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 Vector for. Here’s what each is built for and where Ocean starts.
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DemandbaseShort answers on what Vector does, what changed in 2026, how Ocean compares and what to check before you buy.
A contact-level ABM platform: visitor identification and 30+ signals, a scoring model with stated reasons, the buying committee on one timeline, ad audiences synced to LinkedIn, Google and others, and attribution back to closed deals.
It raised a $10M Series A in May, led by SignalFire and HubSpot Ventures, launched an MCP, and relaunched as a full ABM platform on September 16 with scoring, journeys, a LinkedIn bid agent and attribution.
Vector’s page shows annual Growth, Scale and Enterprise plans sized by site visitors and ad spend, with no amounts. A reviewer puts the entry at about $36,000 a year. Older write-ups quote the earlier product at $399 to $999 a month.
Its scoring stages accounts you track from signals, and its pages don’t describe learning your ICP from won and lost deals. Ocean reads your CRM deals, learns the ICP and ranks the whole market against it.
Yes, for ChatGPT, Claude and Gemini, read-only on LinkedIn ad performance and site-visitor activity. Ocean has an MCP server and a public API on the same data and lookalike engine.
Natively with HubSpot, Salesforce and Pardot, with Marketo and Eloqua coming soon. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio.
It lists SOC 2 Type 1 with a Type 2 audit in progress, monitoring by Oneleet and a DPA on request. Identification is geofenced to the United States. Ask for the trust center documents and the audit timeline.
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
