1. [Compare](/compare.txt) 2. Ocean vs UserGems # Ocean vs UserGems: pricing and how they compare UserGems started by following past champions to new companies and now scores accounts, captures buying groups and runs signal-based outbound and ads, including from Claude and ChatGPT. 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 UserGems pricing](#how-much-does-usergems-cost) Ask AI to compare * [Ask Claude to compare Ocean and UserGems (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20UserGems%20for%20signal-based%20outbound%20and%20ABM%3A%20job-change%20and%20champion%20tracking%2C%20account%20scoring%20from%20CRM%20deals%2C%20market%20coverage%2C%20buying%20groups%2C%20MCP%20access%2C%20CRM%20integrations%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-usergems%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and UserGems (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20UserGems%20for%20signal-based%20outbound%20and%20ABM%3A%20job-change%20and%20champion%20tracking%2C%20account%20scoring%20from%20CRM%20deals%2C%20market%20coverage%2C%20buying%20groups%2C%20MCP%20access%2C%20CRM%20integrations%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-usergems%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and UserGems (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20UserGems%20for%20signal-based%20outbound%20and%20ABM%3A%20job-change%20and%20champion%20tracking%2C%20account%20scoring%20from%20CRM%20deals%2C%20market%20coverage%2C%20buying%20groups%2C%20MCP%20access%2C%20CRM%20integrations%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-usergems%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and UserGems (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20UserGems%20for%20signal-based%20outbound%20and%20ABM%3A%20job-change%20and%20champion%20tracking%2C%20account%20scoring%20from%20CRM%20deals%2C%20market%20coverage%2C%20buying%20groups%2C%20MCP%20access%2C%20CRM%20integrations%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-usergems%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and UserGems (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20UserGems%20for%20signal-based%20outbound%20and%20ABM%3A%20job-change%20and%20champion%20tracking%2C%20account%20scoring%20from%20CRM%20deals%2C%20market%20coverage%2C%20buying%20groups%2C%20MCP%20access%2C%20CRM%20integrations%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-usergems%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-usergems) * [UserGems cost](#how-much-does-usergems-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-usergems) * [Alternatives](#usergems-alternatives) * [FAQ](#usergems-faq) --- ## How do Ocean and UserGems differ? ### ![UserGems logo: UserGems alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/usergems-mark.webp?width=256) UserGems Warm paths through past champions who change jobs. A fit for revenue teams that sell on relationships. UserGems calls itself an AI command center for outbound and ABM. It pairs 30+ signals, such as job changes and closed-lost accounts, with agents that score accounts and write outreach. ### Ocean Ranking every company in your market by fit, with the reason on each account and an exact count of the 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. --- ## UserGems 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 UserGems comparison__ | Topic | Ocean | UserGems | | ----------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 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 companies against your best customers and can build and enrich lists. Its pages don’t describe lookalike search across the market as the core job. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Gem-E learns from your open opportunities and closed-won patterns, weighs 600+ attributes and lets managers edit the weights. Closed-lost deals are a signal for reviving accounts. | | The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Shows which data and signals drive each score, and reps can see why accounts and contacts were selected. | | Coverage beyond accounts you already know | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Plans are sized to a market: 2 to 4 thousand accounts on Core, 4 to 10 thousand on Advanced and 10 thousand or more on Elite. | | 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. | Captures buying group members from your CRM, calendars and signals, learned from your open and closed-won deals, and enriches them into your CRM. | | Job changes and past champions | Doesn’t follow your past champions to new companies. It ranks the market from fit. | UserGems is stronger here. Core strength: past champions, evaluators and buyers who move, new hires at target accounts and promotions, each a native signal. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | 30+ native signals including contact-level intent, website visits, competitor research, M&A, hiring and call transcripts, plus custom signals and imports from G2, 6sense and Clay. | | 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. | Salesforce and HubSpot, sales engagement in Outreach, Salesloft and Gong Engage, and LinkedIn, Meta and Google ad audiences. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP for Claude and ChatGPT that builds audiences, campaigns and sequences, not just reads data, on top of Research and Writing agents. | | Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | Lists SOC 2 Type 2 certification, GDPR compliance as processor and controller, annual penetration tests and a trust centre. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Published: Core 40,000 dollars a year, Advanced 75,000 and Elite 150,000, plus a one-time implementation fee and a money-back guarantee tied to closed-won revenue. | --- ## How much is UserGems? UserGems publishes three annual plans. Every plan has unlimited users, and the tiers differ by credits and the size of market they cover. * Core: 4 million credits, covering a market of about 2 to 4 thousand accounts. Implementation is a one-time 3,000 dollars: 40,000 dollars a year * Advanced: 10 million credits, 4 to 10 thousand accounts, with a 5,000 dollar implementation fee: 75,000 dollars a year * Elite: 25 million credits, 10 thousand or more accounts, with a 10,000 dollar implementation fee and 1,000 dollars of sponsored SPIFF: 150,000 dollars a year ### What the price leaves out Enterprise is quote-only, and retroactive job-change leads are an optional 3,000 dollars. A credit meters both data and AI actions, so usage decides how far a plan stretches. Salesmotion cites Vendr buyers paying a median near 30,000 dollars a year, and older reviews quote monthly prices from a previous structure. Ask what your tier covers. ### 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 UserGems? UserGems finds the people you already know in new places. Ocean finds the companies you don’t know yet. ### Choose UserGems if * Your best leads come from past champions and evaluators changing jobs * You want signals, scoring, outbound and ad audiences run from one platform * You want to build campaigns by prompting Claude or ChatGPT ### Use both if * You use Ocean to rank the market and UserGems to flag when a past champion lands at one of those accounts * You use Ocean to find lookalikes in accounts with no past contact [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 the reason on every account and an exact count of the market * You don’t have a base of past champions to track yet * You want to start without a five-figure annual contract [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from UserGems to Ocean Five steps. Most teams run UserGems for warm paths and add Ocean to find the accounts with no past contact. ### 1. Export your scored accounts and tracked contacts Export the accounts and signals UserGems flags, then run them through Ocean to see how many fit your closed-won pattern. ### 2. Check your plan and renewal Find your tier, credit balance and renewal date, and what your implementation covered. ### 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 UserGems for targeting * **How many accounts does our tier cover, and what happens when we outgrow it?** Expect a polished demo on sample data, because that is where it looks best; ask for a test on your own accounts. * **How are credits used for AI and data actions at 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. * **How does the score treat accounts with no past contact or champion?** 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 are the terms of the money-back guarantee?** Expect annual terms that renew on their own, because that is how it is sold; get notice dates, price caps and export rights in writing. 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 UserGems alternatives compare to Ocean? The right alternative depends on what you use UserGems 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.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. ### [![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.txt) * 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. ### [![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. ### [![Unify logo: Unify alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/unify-mark.webp?width=192)Unify](/compare/ocean-vs-unify.txt) * Built for: Reps who build lists from a prompt and send from one chat, with signals that trigger plays. * Where Ocean starts: Ocean ranks the market from your wins first, so the list is right before any agent sends. ### [![Reo.Dev logo: Reo.Dev alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/reo-dev-mark.webp?width=192)Reo.Dev](/compare/ocean-vs-reo-dev.txt) * Built for: Companies that sell developer tools and want to see which accounts’ engineers are installing, forking and reading their docs. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the whole market with the reason on each account, for any product, with or without developer activity. --- ## UserGems pricing and alternatives: common questions Short answers on what UserGems does, what it costs, how Ocean compares and what to check before you buy. **What is UserGems?** An AI command center for outbound and ABM that began with champion and job-change tracking. It now has 30+ signals, account and contact scoring, buying groups, AI agents, ad audiences and an MCP for Claude and ChatGPT. **How much does UserGems cost?** Core is 40,000 dollars a year, Advanced 75,000 and Elite 150,000, with unlimited users, a one-time implementation fee of 3,000, 5,000 or 10,000 dollars, and Enterprise on request. **Does UserGems learn from my won and lost deals?** Yes, in part: Gem-E learns from your open opportunities and closed-won patterns to weight its scoring, and uses closed-lost as a signal. Ocean also reads your CRM deals, and ranks every company in your market against what it learns. **Does UserGems find companies I don’t already know?** It can build and enrich lists and score accounts, within a market size set by your plan. Its distinct strength is following past champions and buyers to new companies. Ocean’s starting point is the whole market. **Does UserGems have an MCP server?** Yes, for Claude and ChatGPT, and it acts as well as reads: it builds audiences and campaigns and enrolls contacts. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does UserGems integrate with my CRM?** Salesforce and HubSpot, plus Outreach, Salesloft and Gong Engage and ad platforms. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is UserGems ready for an enterprise security review?** It lists SOC 2 Type 2 certification, GDPR compliance, annual penetration tests and a trust centre. As with any vendor, ask for the current report. **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 (13) checked November 13, 2026 * [UserGems](https://www.usergems.com/) * [UserGems pricing](https://www.usergems.com/pricing) * [UserGems account and contact scoring](https://www.usergems.com/product/scoring) * [UserGems signals](https://www.usergems.com/product/signals) * [UserGems buying groups](https://www.usergems.com/product/buying-groups) * [UserGems MCP](https://www.usergems.com/product/mcp) * [UserGems data security and compliance](https://www.usergems.com/data-security) * [UserGems pricing guide (Salesmotion, a competitor)](https://salesmotion.io/blog/usergems-pricing) * [6sense](https://6sense.com/) * [Common Room](https://www.commonroom.io/) * [Demandbase](https://www.demandbase.com/) * [Unify](https://www.unifygtm.com/) * [Reo.Dev](https://www.reo.dev/) --- ## 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)