1. [Compare](/compare.txt) 2. Ocean vs Vector # Ocean vs Vector: pricing and how they compare 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. [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api) [See Vector pricing](#how-much-does-vector-cost) Ask AI to compare * [Ask Claude to compare Ocean and Vector (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Vector%20%28vector.co%29%20for%20ABM%20and%20visitor%20identification%3A%20signals%2C%20scoring%2C%20contact-level%20ads%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-vector%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Vector (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Vector%20%28vector.co%29%20for%20ABM%20and%20visitor%20identification%3A%20signals%2C%20scoring%2C%20contact-level%20ads%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-vector%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Vector (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Vector%20%28vector.co%29%20for%20ABM%20and%20visitor%20identification%3A%20signals%2C%20scoring%2C%20contact-level%20ads%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-vector%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Vector (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Vector%20%28vector.co%29%20for%20ABM%20and%20visitor%20identification%3A%20signals%2C%20scoring%2C%20contact-level%20ads%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-vector%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Vector (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Vector%20%28vector.co%29%20for%20ABM%20and%20visitor%20identification%3A%20signals%2C%20scoring%2C%20contact-level%20ads%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-vector%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-vector) * [Vector cost](#how-much-does-vector-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-vector) * [Alternatives](#vector-alternatives) * [FAQ](#vector-faq) --- ## How do Ocean and Vector differ? ### ![Vector logo: Vector alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/vector-mark.webp?width=256) Vector Contact-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. ### Ocean 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. --- ## Vector 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 Vector comparison__ | 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. | --- ## How much is Vector? 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. * Up to 25,000 unique monthly site visitors and $25,000 a month of total ad spend, with one bid agent and unlimited seats: Growth * Up to 100,000 visitors and $100,000 a month of ad spend, with three bid agents, SAML and SCIM SSO and a DPA: Scale * Up to 250,000 visitors and 250,000 dollars a month, with five bid agents, SSO and a DPA, and scaling beyond that: Enterprise ### What the price leaves out 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. ### 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 Vector? Vector aims ads and alerts at the buyers around your target accounts. Ocean helps choose which accounts those should be. ### Choose Vector if * You run paid media, especially LinkedIn, and want to target named buyers * You want visitor identification, scoring and attribution in one platform * You have site traffic and ad spend that fit its plan sizes ### Use both if * Ocean’s tier 1 accounts become the target list Vector scores and advertises to * You check Vector’s identified visitors against Ocean’s fit to see which are worth a rep’s time [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * Your question is which companies to target, not how to advertise to them * You want fit learned from your won and lost deals across the whole market * You want to reach companies that haven’t visited your site or seen your ads * You want to start without an annual platform contract [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Vector to Ocean Five steps. Most teams keep Vector for signals and ads and add Ocean to choose the target list. ### 1. Export your tracked accounts and stages Export the accounts Vector tracks with their stages, then run them through Ocean to see how many fit your closed-won pattern. ### 2. Check your plan and renewal Find your plan, traffic and ad-spend limits and renewal date, and which bid agents and integrations you use. ### 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 Vector for targeting * **How does the target list get chosen, and does the score learn from our won and lost deals?** 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. * **What share of our visitors is identified at the contact level, and where?** Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list. * **How does it handle EU traffic, given identification is geofenced to the United States?** Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list. * **When will the SOC 2 Type 2 report be available?** 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 Ocean](https://book.ocean.io/inbound/api) --- ## How do other Vector alternatives compare to Ocean? The right alternative depends on what you use Vector for. Here’s what each is built for and where Ocean starts. ### [![RB2B logo: RB2B alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/rb2b-mark.webp?width=192)RB2B](/compare/ocean-vs-rb2b.txt) * Built for: Teams that want to see which people visit their website, in Slack, in real time. * Where Ocean starts: Ocean finds the accounts that should be visiting but aren’t, ranked from your wins. ### [![Untitled logo: Untitled alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/untitled-mark.webp?width=192)Untitled](/compare/ocean-vs-untitled.txt) * Built for: Consumer brands and agencies that identify visitors and activate audiences across ads and CTV. * Where Ocean starts: Ocean is built for B2B account fit, learned from your own closed-won deals. ### [![Leadfeeder logo: Leadfeeder alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/leadfeeder-mark.webp?width=192)Leadfeeder](/compare/ocean-vs-leadfeeder.txt) * Built for: European teams that identify the companies visiting their website and score them for fit. * Where Ocean starts: Ocean ranks the accounts that haven’t visited yet, from your own wins. ### [![6sense logo: 6sense alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/6sense-mark.webp?width=192)6sense](/compare/ocean-vs-6sense.txt) * Built for: Enterprise teams that predict in-market accounts and run ads, sales alerts and AI email around them. * Where Ocean starts: Ocean shows which accounts look like your wins and why, without a multi-year enterprise contract. ### [![Demandbase logo: Demandbase alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/demandbase-mark.webp?width=192)Demandbase](/compare/ocean-vs-demandbase.txt) * Built for: Enterprise ABM programs that combine account data, intent and advertising. * Where Ocean starts: Ocean ranks accounts from your own wins and sells no intent or advertising. --- ## Vector pricing and alternatives: common questions Short answers on what Vector does, what changed in 2026, how Ocean compares and what to check before you buy. **What is Vector?** 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. **What changed at Vector in 2026?** 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. **How much does Vector cost?** 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. **Does Vector learn from my won and lost deals?** 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. **Does Vector have an MCP server?** 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. **Does Vector integrate with my CRM?** Natively with HubSpot, Salesforce and Pardot, with Marketo and Eloqua coming soon. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is Vector ready for an enterprise security review?** 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. **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 (18) checked November 13, 2026 * [Vector](https://www.vector.co/) * [Vector pricing](https://www.vector.co/pricing) * [Vector signals](https://www.vector.co/platform/signals) * [Vector scoring (Specter)](https://www.vector.co/platform/scoring) * [Vector journeys](https://www.vector.co/platform/journeys) * [Vector advertising](https://www.vector.co/platform/advertising) * [Vector MCP](https://www.vector.co/integrations/mcp) * [Vector integrations](https://www.vector.co/integrations) * [Vector security](https://www.vector.co/security) * [The all-new Vector (Vector blog)](https://www.vector.co/blog/the-all-new-vector-abm-finally-works-the-way-you-thought-it-would) * [SignalFire leads Vector’s Series A](https://www.signalfire.com/blog/vector-investor) * [Vector review (Docket, a competitor)](https://www.docket.io/resources/research/vector-review) * [Vector alternative (N.Rich, a competitor)](https://nrich.io/alternative/vector) * [RB2B](https://rb2b.com/) * [Untitled](https://getuntitled.ai/) * [Leadfeeder](https://www.leadfeeder.com/) * [6sense](https://6sense.com/) * [Demandbase](https://www.demandbase.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)