1. [Compare](/compare.md) 2. Ocean vs Factors.ai # Ocean vs Factors.ai: pricing and how they compare Factors.ai shows which companies visit and engage with you across your site, LinkedIn, Google and G2, scores them and attributes pipeline to channels. 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 Factors.ai pricing](#how-much-does-factors-ai-cost) Ask AI to compare * [Ask Claude to compare Ocean and Factors.ai (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Factors.ai%20for%20account%20targeting%20and%20ABM%3A%20visitor%20identification%2C%20account%20scoring%2C%20attribution%2C%20learning%20from%20CRM%20deals%2C%20coverage%20beyond%20engaged%20accounts%2C%20MCP%20access%2C%20CRM%20integrations%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-factors-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Factors.ai (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Factors.ai%20for%20account%20targeting%20and%20ABM%3A%20visitor%20identification%2C%20account%20scoring%2C%20attribution%2C%20learning%20from%20CRM%20deals%2C%20coverage%20beyond%20engaged%20accounts%2C%20MCP%20access%2C%20CRM%20integrations%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-factors-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Factors.ai (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Factors.ai%20for%20account%20targeting%20and%20ABM%3A%20visitor%20identification%2C%20account%20scoring%2C%20attribution%2C%20learning%20from%20CRM%20deals%2C%20coverage%20beyond%20engaged%20accounts%2C%20MCP%20access%2C%20CRM%20integrations%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-factors-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Factors.ai (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Factors.ai%20for%20account%20targeting%20and%20ABM%3A%20visitor%20identification%2C%20account%20scoring%2C%20attribution%2C%20learning%20from%20CRM%20deals%2C%20coverage%20beyond%20engaged%20accounts%2C%20MCP%20access%2C%20CRM%20integrations%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-factors-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Factors.ai (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Factors.ai%20for%20account%20targeting%20and%20ABM%3A%20visitor%20identification%2C%20account%20scoring%2C%20attribution%2C%20learning%20from%20CRM%20deals%2C%20coverage%20beyond%20engaged%20accounts%2C%20MCP%20access%2C%20CRM%20integrations%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-factors-ai%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-factors-ai) * [Factors.ai cost](#how-much-does-factors-ai-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-factors-ai) * [Alternatives](#factors-ai-alternatives) * [FAQ](#factors-ai-faq) --- ## How do Ocean and Factors.ai differ? ### ![Factors.ai logo: Factors.ai alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/factors-ai-mark.webp?width=256) Factors.ai Knowing which accounts engage and which channels reached them. A fit for marketing teams running paid ABM. Factors.ai is an account intelligence, analytics and attribution platform. It identifies companies visiting your site, layers in LinkedIn, G2 and third-party intent, scores accounts and maps the journey and multi-touch attribution across channels. ### Ocean Ranking every company in your market by fit, learned from your won and lost deals, whether or not they have engaged with you. 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. --- ## Factors.ai 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 Factors.ai comparison__ | Topic | Ocean | Factors.ai | | --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Not its job. It works on accounts that visit or engage across your channels and 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. | Custom account scoring starts on Growth and predictive scoring on Enterprise. Its pages don’t describe learning fit from your CRM’s 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. | Shows each account’s timeline of ad views, visits, G2 research and CRM touchpoints. That explains the engagement, not why the company fits. | | Coverage beyond your own traffic | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Limited to accounts that engage with your site, ads, G2 or CRM. A company that fits but hasn’t engaged doesn’t appear. | | 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. | Mainly account-level. Person-level identification is an RB2B add-on, and contact updates run through Apollo.io. It doesn’t build contact lists itself. | | Visitor identification and attribution | Doesn’t identify visitors or attribute pipeline to channels. It works from the market. | Company identification with waterfall enrichment, multi-touch attribution across LinkedIn, Google, Meta and Bing, and funnel, content and SEO analysis. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | First-party visits, LinkedIn and G2 intent, uploaded third-party intent and Bombora topics on higher plans, plus business news signals. | | 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. | Full HubSpot and Salesforce integration from Basic, Zoho, Slack and Teams, ad platforms, Segment and webhooks. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP server for Claude, ChatGPT and other clients that returns KPIs, attribution, saved reports and account research. Scout agents are a paid add-on. | | Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | Hosts data on Google Cloud in the United States with encryption in transit and at rest. We found no SOC 2 statement of its own, so ask for the report. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Lite $199 a month, Basic $6,000 a year, Growth $20,000 and Enterprise from $30,000, mostly sold on annual contracts. | --- ## How much is Factors.ai? Factors.ai publishes four tiers, priced by companies identified and tracked users. Reviewers disagree because it has changed its pricing, so check the page you’re shown. * Lite: 5,000 tracked users and 1,500 companies a month, 3 seats, Slack and Teams alerts. It starts with a free trial: $199 a month * Basic: 10,000 tracked users and 3,000 companies, 5 seats, and the first tier with CRM sync and LinkedIn Ads influence reporting: $6,000 a year * Growth: 50,000 tracked users and 8,000 companies, 10 seats, custom account scoring and G2 impact. Enterprise starts at $30,000 a year with predictive scoring and Google and LinkedIn audience sync: $20,000 a year ### What the price leaves out Annual contracts are typical. Person-level identification (RB2B), Bombora topics, Scout agents and managed GTM services are add-ons, and reviewers cite overage and seat charges. As recently as April 2026 reviewers quoted Basic at $399 a month and Growth at $999, and some sources still call the paid tiers quote-only, so confirm before you budget. ### 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.md) --- ## Should you choose Ocean or Factors.ai? Factors.ai shows who is engaging and which channels drove them. Ocean shows who you should be going after, including everyone who hasn’t engaged. ### Choose Factors.ai if * You run paid LinkedIn and Google ABM and need attribution * You want visitors, ad views and G2 research on one account timeline * You want audiences synced back to LinkedIn and Google ### Use both if * You use Ocean to rank the market and Factors.ai to see which of those accounts engage and which campaigns reached them * You check Factors.ai’s engaged accounts against Ocean’s fit before a rep spends time on them [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * Your question is which companies in the whole market look like your best customers * You want fit learned from your won and lost deals * You want the reason on every account and an exact count of the market * You have little traffic or ad spend for an engagement tool to read [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Factors.ai to Ocean Five steps. Most teams run Factors.ai for engagement and attribution and add Ocean to find the accounts that haven’t engaged. ### 1. Export your engaged accounts and scores Export the accounts Factors.ai flags and their scores, then run them through Ocean to see how many fit your closed-won pattern. ### 2. Check your plan and add-ons Find your tier, company and user limits, any add-ons and your renewal date. ### 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 Factors.ai for targeting * **Which tier do we need for CRM sync, scoring and audience sync, and what are the overage charges?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **What do the RB2B, Bombora and Scout add-ons cost for our volume?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **Does the score learn from our won and lost deals, or from rules we set?** 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. * **Can we see its security documentation, given data is stored in the United States?** 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 Factors.ai alternatives compare to Ocean? The right alternative depends on what you use Factors.ai for. Here’s what each is built for and where Ocean starts. ### [![6sense logo: 6sense alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/6sense-mark.webp?width=192)6sense](/compare/ocean-vs-6sense.md) * 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.md) * 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. ### [![RB2B logo: RB2B alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/rb2b-mark.webp?width=192)RB2B](/compare/ocean-vs-rb2b.md) * 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. ### [![Common Room logo: Common Room alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/commonroom-mark.webp?width=192)Common Room](/compare/ocean-vs-common-room.md) * Built for: Software teams that stack community, product and web signals to prioritize accounts. * Where Ocean starts: Ocean ranks the whole market by fit, including accounts that haven’t shown a signal yet. ### [![Leadfeeder logo: Leadfeeder alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/leadfeeder-mark.webp?width=192)Leadfeeder](/compare/ocean-vs-leadfeeder.md) * 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. --- ## Factors.ai pricing and alternatives: common questions Short answers on what Factors.ai does, what it costs, how Ocean compares and what to check before you buy. **What is Factors.ai?** An account intelligence, analytics and attribution platform that identifies companies visiting your site, layers in LinkedIn and G2 intent, scores accounts and attributes pipeline across channels, with ad audience sync and AI agents. **How much does Factors.ai cost?** Lite is $199 a month, Basic $6,000 a year, Growth $20,000 and Enterprise from $30,000, per its pricing page. Add-ons cost extra, and older write-ups quote lower monthly prices from an earlier structure. **Does Factors.ai find new accounts?** It surfaces accounts that already engage with your site, ads, G2 or CRM. It doesn’t describe finding companies that haven’t engaged. Ocean ranks every company in your market by fit. **Does Factors.ai learn from my won and lost deals?** It offers custom scoring on Growth and predictive scoring on Enterprise, but doesn’t describe learning fit from your won and lost deals. Ocean reads your CRM deals, learns the ICP and ranks every company against it. **Does Factors.ai have an MCP server?** Yes, for Claude, ChatGPT and other MCP clients, returning KPIs, attribution and account research. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does Factors.ai integrate with my CRM?** Full HubSpot and Salesforce integration from Basic, plus Zoho. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is Factors.ai ready for an enterprise security review?** It publishes a security policy and hosts data on Google Cloud in the United States. We found no SOC 2 statement of its own, so ask for the report and its data terms. **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 (12) checked November 13, 2026 * [Factors.ai](https://www.factors.ai/) * [Factors.ai pricing](https://www.factors.ai/pricing) * [Factors.ai integrations](https://www.factors.ai/integrations) * [Factors MCP (help center)](https://help.factors.ai/en/articles/14705206-factors-mcp) * [Factors.ai security policy](https://www.factors.ai/security) * [Factors.ai pricing (SourceLoop, a competitor)](https://sourceloop.ai/blog/factors-ai-pricing) * [Factors.ai pricing (ZenABM, a competitor)](https://zenabm.com/blog/factors-ai-pricing) * [6sense](https://6sense.com/) * [Demandbase](https://www.demandbase.com/) * [RB2B](https://rb2b.com/) * [Common Room](https://www.commonroom.io/) * [Leadfeeder](https://www.leadfeeder.com/) --- ## What teams say about Ocean [All case studies](/case-studies.md) --- > 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.md) > 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.md) Laura Salmina, Sales Developer at Tele2 IoT [Read Tele2 IoT's story](/case-studies/tele2.md) Julian Berbec, Growth Marketer at Monta [Read Monta's story](/case-studies/monta.md) > 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.md) > Ocean.io reduced our average cost per Marketing Qualified Lead by 23%. > > — Garrett Butler, Digital Engagement, CBC [Read CBC's story](/case-studies/cbc.md) > 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.md) > Ocean.io allows us to identify lookalike companies with incredible accuracy. > > — Maged, Head of Product, Surfe [Read Surfe's story](/case-studies/surfe.md) --- [ocean.io logomark](/index.md) ocean.io logotype [Home](/index.md) [Discovery](/index.md) [Workflows](/index.md) [Context studio](/index.md) [Search](/index.md) [Assistant](/index.md) [Leads](/index.md) [API](/index.md) [Extension](/index.md) 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)