Clay vs Ocean.io
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Both sides assessedClay compared with Ocean.io
Different layers of the same workflow. Clay orchestrates many data providers, runs enrichment waterfalls, and builds custom scoring logic against a list you already have. Ocean.io answers the earlier question of which companies belong in the segment at all, using website-based similarity to your best customers rather than industry codes. Teams frequently use Ocean.io to define and size a segment, then Clay to enrich and score it.
Ocean.io compared with Clay
Different layers of the same workflow. Clay is the orchestration surface that combines many data providers, runs enrichment waterfalls, and lets a team build custom scoring logic. Ocean.io is a single opinionated engine for finding companies that resemble your customers. Teams already running Clay often use it to enrich and score, and reach for Ocean.io when the question is discovery of a segment rather than enrichment of a known list.
Choose Clay if
GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.
Choose Ocean.io if
B2B teams that need to define and size an addressable market from their own best customers rather than from industry codes, and that want a ranked, filterable account segment they can enrich and push into a CRM without buying an enterprise data contract.
Side by side
13 attributes| Attribute | Clay | Ocean.io |
|---|---|---|
| Category | Data | Segmentation |
| Starting price | Free plan; paid from $149/mo (free plan available) | About $79 per month billed annually |
| Pricing model | Credit-based monthly tiers; provider calls and Claygent runs consume credits (only on successful hits for waterfalls). Feature gates (CRM write-back, webhooks) sit at tier boundaries. | Credit-based subscription with a slider, where volume and billing term set the per-credit rate. Different actions consume different credit amounts, and overages are billed per credit beyond the plan allowance. |
| Free plan | 100 credits/month, core table features. | No |
| Free trial | 14 days (Pro features) | No |
| Best for | GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines. | B2B teams that need to define and size an addressable market from their own best customers rather than from industry codes, and that want a ranked, filterable account segment they can enrich and push into a CRM without buying an enterprise data contract. |
| Setup time | First enriched table in an hour via templates; a production pipeline (sources, then waterfalls, then scoring, then delivery) typically takes 2-4 weeks to harden. | A lookalike search runs in minutes from a URL or a customer list, so the first segment exists the same day. CRM syncing and a repeatable process around it take longer, typically a week of configuration and agreement on definitions. |
| Learning curve | The steepest in this report, genuinely a skill. Templates, the academy, and a large creator ecosystem (courses, agencies) flatten it substantially. | Low to use, moderate to use well. Running a search is simple; the skill is choosing a seed list that represents genuinely good customers rather than merely large ones, and managing credit spend so that enrichment goes to the accounts worth pursuing rather than the whole segment. |
| Platforms | Web app, Chrome extension, REST API | Web app, CRM integrations, Export to outbound tooling |
| Compliance | SOC 2 Type II, GDPR program | Supplies B2B company and contact data, so lawful basis for processing contact records remains the customer's responsibility, European headquarters, which is relevant to GDPR posture for teams prospecting into the EU, Email verification is offered as a paid action, which supports list hygiene obligations before sending |
| Founded | 2017 | 2017 |
| Headquarters | New York City, US | Copenhagen, Denmark, with an office in Minneapolis, United States |
| Ownership | Venture-backed (private) | Privately held, venture backed |
Strengths and limitations
Clay
Strengths
- Waterfall coverage decisively beats any single data provider.
- Claygent turns open-web research into a scalable, auditable pipeline step.
- Deep native integrations across the modern outbound stack (sequencers, CRMs, signals).
- Template/creator ecosystem compounds, proven workflows are one click away.
Limitations
- Real learning curve, tables, waterfalls, and prompt design reward (effectively require) a technical operator.
- Credit economics are powerful but unforgiving without active management.
- Not a proprietary data source; quality ceilings are its providers'.
- Enterprise governance (SSO, roles, audit) only matures at top tiers.
Ocean.io
Strengths
- Similarity computed from what companies actually do rather than from industry classification codes, which is the whole reason it finds segments conventional filters miss.
- Seeding from your own customer list turns an ideal customer profile into examples rather than a set of guessed rules.
- Segment sizing answers the market question, not only the list question, which supports planning decisions before budget is committed.
- A large company database, around 35 million profiles, as the population segments are drawn from.
Limitations
- Credit pricing is hard to forecast, and independent reviews report most customers exceeding their plan allowance.
- Phone number enrichment consumes credits at a much higher rate than other actions, which surprises buyers repeatedly.
- Contact data volume is expensive compared with dedicated B2B data providers, so it is the wrong tool for bulk list building.
- CRM integrations require the professional tier, so the effective entry price for operational use is closer to $299 than $79.
Pricing compared
Clay
Credit-based monthly tiers; provider calls and Claygent runs consume credits (only on successful hits for waterfalls). Feature gates (CRM write-back, webhooks) sit at tier boundaries.
- Free$0
- Starter$149
- Explorer$349
- Pro$800
- EnterpriseCustom
Clay's effective price is workflow-dependent: well-designed tables deliver coverage and personalization no single vendor matches at any price, while naive configurations burn credits alarmingly. Teams treating credit design as part of the craft consistently report it as the stack's highest-ROI line item.
Ocean.io
Credit-based subscription with a slider, where volume and billing term set the per-credit rate. Different actions consume different credit amounts, and overages are billed per credit beyond the plan allowance.
- StarterAbout $79
- ProfessionalAbout $299
- Pay as you goAbout $0.08
For its actual job, defining and sizing a market segment from examples, Ocean.io is well priced: $79 to $299 a month is a fraction of the enterprise account intelligence platforms like Keyplay and MadKudu that start in five figures a year. For the job people often mistake it for, bulk contact acquisition, it is poor value, because credits deplete fast and dedicated data providers deliver more records per dollar. Buy it to answer who the market is and how big; do not buy it to fill a sequencer with fifty thousand contacts.
Editorial verdict on each
Clay
Clay is the most consequential product in this report: it moved the center of outbound gravity from databases and sequencers to the orchestration layer between them, and its valuation sprint reflects substance, not froth. The costs are honest, a real learning curve and credit economics that punish sloppiness, but teams that invest in the craft get coverage, research, and personalization nothing else assembles. If your outbound has an engineer, this is their instrument.
Read the full Clay profileOcean.io
Ocean.io is the B2B answer to the question this category asks, and it earns its place by attacking the weakest part of most targeting work: the assumption that industry codes describe what a company does. Seeding a search with your own best customers and getting back a ranked, sized segment is a fundamentally better method than filtering a database by a classification somebody assigned years ago, and at $79 to $299 a month it is self-serve priced against enterprise platforms that start in five figures. Two things to get right before buying. The seed list determines everything, so choose it for customer quality rather than customer size. And treat the credit model with respect, particularly phone enrichment, which is where budgets disappear. Use it to decide who the market is; use something cheaper to fill the list once you know.
Read the full Ocean.io profileClay profile last reviewed 2026-08-22; Ocean.io last reviewed 2026-09-02. Pricing is compiled from public sources and can change without notice. See our methodology.