1. [Compare](/compare.txt) 2. Ocean vs Enlyft # Ocean vs Enlyft: pricing and how they compare Enlyft scores accounts from the technology they run and the buying signals around them, and sells mostly to technology vendors and their partners. 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 Enlyft pricing](#how-much-does-enlyft-cost) Ask AI to compare * [Ask Claude to compare Ocean and Enlyft (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Enlyft%20for%20predictive%20account%20scoring%3A%20technographics%2C%20how%20each%20scores%20fit%2C%20learning%20from%20CRM%20deals%2C%20buying%20signals%2C%20CRM%20sync%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-enlyft%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Enlyft (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Enlyft%20for%20predictive%20account%20scoring%3A%20technographics%2C%20how%20each%20scores%20fit%2C%20learning%20from%20CRM%20deals%2C%20buying%20signals%2C%20CRM%20sync%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-enlyft%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Enlyft (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Enlyft%20for%20predictive%20account%20scoring%3A%20technographics%2C%20how%20each%20scores%20fit%2C%20learning%20from%20CRM%20deals%2C%20buying%20signals%2C%20CRM%20sync%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-enlyft%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Enlyft (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Enlyft%20for%20predictive%20account%20scoring%3A%20technographics%2C%20how%20each%20scores%20fit%2C%20learning%20from%20CRM%20deals%2C%20buying%20signals%2C%20CRM%20sync%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-enlyft%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Enlyft (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Enlyft%20for%20predictive%20account%20scoring%3A%20technographics%2C%20how%20each%20scores%20fit%2C%20learning%20from%20CRM%20deals%2C%20buying%20signals%2C%20CRM%20sync%2C%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-enlyft%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-enlyft) * [Enlyft cost](#how-much-does-enlyft-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-enlyft) * [Alternatives](#enlyft-alternatives) * [FAQ](#enlyft-faq) --- ## How do Ocean and Enlyft differ? ### ![Enlyft logo: Enlyft alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/enlyft-mark.webp?width=256) Enlyft Scoring accounts by what they run and what is changing there. A fit for vendors that sell into specific technologies. Enlyft is an account-intelligence platform built on its own company graph and a decade of technographic history. It layers buying signals and propensity scoring on top, with a Pipeline Agent that drafts outreach. ### 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. --- ## Enlyft 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 Enlyft comparison__ | Topic | Ocean | Enlyft | | --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Scores every account in its graph against an ICP and the products you sell, and maps install-base overlap for cross-sell. It doesn’t describe lookalikes of your customers. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Models are trained on 10+ years of buying outcomes and tuned to each vendor’s products, with customer data used in models built for that customer. Its pages don’t spell out learning from your won, lost and open deals. | | The reason behind each account | Segment, score, tier and matched signals on every account and every export. | Each score comes with the signals behind it: the stack, the change and the trigger. | | Segments your market | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Account mapping shows install-base overlap and whitespace across a product portfolio. | | Contacts and data | | | | Technology install base | Understands what each company does from its own website. | Its core strength: 24K+ technologies tracked across 45M+ companies, collected and refreshed by Enlyft over more than ten years. | | Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Contact discovery in the Pipeline Agent, and verified emails, phones and LinkedIn profiles over MCP. It positions itself as working alongside ZoomInfo or Apollo. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | 50+ known signals per account, such as hiring, funding, tech adoption and leadership changes, scored with real-time alerts. | | 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. | Apps for Salesforce (AppExchange and AgentExchange), HubSpot and Dynamics 365, plus Slack and Teams. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP connector for Claude, a Copilot connector in preview, and a launch-partner role in Dynamics 365 Sales agents. It needs an Enlyft subscription with API access. | | Security and company scale | SOC 2 Type II and GDPR, per Ocean’s own site. | Lists SOC 2 Type 2, ISO 27001 and GDPR, hosts on Azure, isolates each customer’s data and purges it 90 days after termination. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Not published. The Business Edition starts at 20 users and 20,000 credits. Third-party estimates run from $12,000 to $30,000 a year. | --- ## How much is Enlyft? Enlyft doesn’t publish prices. Its Business Edition starts at 20 user licenses and 20,000 annual credits, and quotes come from sales. * The Business Edition floor, per Enlyft’s own announcement, including account fit, buying signals and generative AI: 20 users, 20K credits * Third-party estimates for Business. One directory lists $12,000 a year. A competitor’s review estimates $15K to $30K. None of these are confirmed by Enlyft: $12K to $30K a year * Enterprise adds first-party data, custom models and advanced integrations, and is estimated higher by the same competitor. Annual contract: By quote ### What the price leaves out A 20-user floor means you pay for licenses whether or not every seller uses them. Ask for the number of licenses, the credit rate beyond 20,000 and what a credit buys. Estimates vary by source, so get a written quote. ### 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 Enlyft? Enlyft knows what a company runs and what’s changing there. Ocean knows whether it looks like the companies you’ve won. ### Choose Enlyft if * You sell technology and want install-base, whitespace and cross-sell intelligence * You work with channel partners or a vendor ecosystem * You want technographic signals with a Pipeline Agent for plays and outreach ### Use both if * You use Enlyft technographics for timing and Ocean for fit learned from your deals * You want Enlyft’s Claude connector alongside Ocean’s, to ask about both from one assistant [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want fit learned from your own won and lost deals, not tuned to a vendor’s products * You sell to companies where technology isn’t the signal that matters * You want to start without a 20-user annual contract * You want market segments by win rate, deal size and cycle time [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Enlyft to Ocean Five steps. Most teams keep Enlyft for technographics and add Ocean to rank the market by fit. ### 1. Export your scored accounts Export the accounts with their Enlyft fit scores and signals, then run the same companies through Ocean to compare the ranking against your closed-won deals. ### 2. Check your licenses and renewal Count how many of your licensed users are active this quarter, and find your credit balance and 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 Enlyft for targeting * **Does the model train on our won, lost and open deals, or on Enlyft’s outcome history and our product list?** 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. * **How many licenses and credits are in our quote, and what does each credit buy?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **How are technologies detected, and which kinds of tools does it miss for our buyers?** Expect a polished demo on sample data, because that is where it looks best; ask for a test on your own accounts. * **How does the score compare with our closed-won accounts in a test on our list?** 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. 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 Enlyft alternatives compare to Ocean? The right alternative depends on what you use Enlyft for. Here’s what each is built for and where Ocean starts. ### [![Leadspace logo: Leadspace alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/leadspace-mark.webp?width=192)Leadspace](/compare/ocean-vs-leadspace.txt) * Built for: Teams that keep GTM profiles, signals, routing and scoring accurate in one data cloud. * Where Ocean starts: Ocean ranks your market from your own won and lost deals, with the reason on each score. ### [![ZoomInfo logo: ZoomInfo alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/zoominfo-mark.webp?width=192)ZoomInfo](/compare/ocean-vs-zoominfo.txt) * Built for: Contact and direct-dial volume, with third-party intent, in one contract. * Where Ocean starts: Ocean ranks accounts from your closed-won deals instead of selling a database. ### [![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. ### [![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. ### [![Goava logo: Goava alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/goava-mark.webp?width=192)Goava](/compare/ocean-vs-goava.txt) * Built for: Nordic sales teams that want ICP scores learned from their CRM deals in Sweden, Norway, Denmark and Finland. * Where Ocean starts: Ocean learns from your deals the same way, in every market, and shows the reason on each account. --- ## Enlyft pricing and alternatives: common questions Short answers on what Enlyft costs, how its scoring works, how Ocean compares and what to check before you buy. **What is Enlyft?** An account-intelligence platform built on its own company graph of 45M+ companies and 24K+ technologies. It adds buying signals, propensity scoring and a Pipeline Agent for plays and outreach, and is aimed mainly at technology vendors and their channel partners. **How does Enlyft predictive scoring work?** Machine-learning models trained on more than ten years of buying outcomes, tuned to each vendor’s products, rank accounts by propensity, with the signals behind each score. Ocean learns the fit from your own won and lost deals and ranks the market against it. **How much does Enlyft cost?** Enlyft doesn’t publish prices. The Business Edition starts at 20 user licenses and 20,000 annual credits. Third-party estimates run from $12,000 to $30,000 a year, and none is confirmed. Ask for a written quote. **Does Enlyft learn from my won and lost deals?** Its pages say customer data is used only in models built for that customer, and that models are tuned to a vendor’s products. They don’t spell out learning from your won, lost and open deals. Ocean reads your CRM deals, learns the ICP and ranks the market against it. **Does Enlyft have an MCP server?** Yes. The Enlyft MCP connector works with Claude, a Copilot connector is in preview, and Enlyft is a launch partner for Dynamics 365 Sales agents. It requires an Enlyft subscription with API access. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does Enlyft integrate with my CRM?** It has apps for Salesforce, HubSpot and Dynamics 365. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is Enlyft ready for an enterprise security review?** It lists SOC 2 Type 2, ISO 27001 and GDPR, hosts on Azure, isolates customer data and purges it 90 days after termination. Request the SOC 2 report and the contract terms, as you would with any vendor. **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 (14) checked November 13, 2026 * [Enlyft](https://www.enlyft.com/) * [Enlyft ecosystem intelligence](https://enlyft.com/platform/partner-ecosystem-intelligence) * [Enlyft Pipeline Agent](https://enlyft.com/platform/pipeline-agent) * [Enlyft integrations](https://enlyft.com/platform/integrations) * [Enlyft MCP connectors](https://enlyft.com/enlyft-mcp-connectors) * [Enlyft Trust Commitment](https://enlyft.com/about/trust-center) * [Enlyft Business Edition announcement](https://finance.yahoo.com/news/enlyft-unveils-next-generation-predictive-134500639.html) * [Enlyft: revolutionize your ideal customer profile](https://enlyft.com/resources/revolutionize-your-ideal-customer-profile-with-the-power-of-data-and-ai) * [Enlyft pricing and reviews (Prospeo, a competitor)](https://prospeo.io/s/enlyft-pricing-reviews-pros-and-cons) * [Leadspace](https://www.leadspace.com/) * [ZoomInfo pricing and product pages](https://www.zoominfo.com/pricing) * [Demandbase](https://www.demandbase.com/) * [6sense](https://6sense.com/) * [Goava](https://www.goava.com/en) --- ## 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)