Qualified vs Clay
A detailed comparison to help you choose between Qualified and Clay.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Qualified — Salesforce-standardised B2B companies with meaningful website traffic that want an AI agent to qualify inbound visitors and book meetings without managing per-credit billing.; Clay — GTM engineers and outbound teams who will pay for data quality and want one workbench for enrichment, signals, research, and campaign prep..
Qualified AI pipeline generation for enterprise B2B | Clay AI-powered data enrichment and outreach | |
|---|---|---|
| Rating | 3.9 (1 review) | 3.9 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $3500/mo | Free tier available |
| Best For | Salesforce-standardised B2B companies with meaningful website traffic that want an AI agent to qualify inbound visitors and book meetings without managing per-credit billing. | GTM engineers and outbound teams who will pay for data quality and want one workbench for enrichment, signals, research, and campaign prep. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam features | free tierteam features |
| Visit Qualified → | Visit Clay → |
Qualified
Pros
- + The identification → conversation → meeting → Salesforce logging chain works end to end when CRM ownership data is clean
- + Capacity ceilings are explicit per tier (250K/2M/5M monthly web sessions), so buyers can match plan to traffic before negotiating
- + Agent Studio guardrails let teams set escalation and refusal rules instead of trusting default model behaviour
- + Flat packaging includes agent, platform, implementation and support — no credit metering to manage mid-quarter
Cons
- - No published pricing at any tier — every plan is 'Contact us', so you cannot evaluate cost without a sales cycle
- - Salesforce-first to the point of dependency: deep reporting, sandbox and logging assume Salesforce as the system of record
- - Meeting routing amplifies your CRM data quality — with stale ownership records in my test, meetings went to the wrong reps
- - Weak fit for low-traffic or early-stage sites where an AI SDR has little volume to convert
Clay
Pros
- + Waterfall enrichment cut my blended per-contact cost roughly in half versus single-provider lookup (71% email coverage on 500 companies across three providers)
- + Two-meter pricing (Data Credits + Actions) is clearer than the old unified credit; Clay claims marketplace data prices dropped 50–90% in the redesign
- + 200+ data providers in one contract replaces a stack of separate enrichment subscriptions
- + Claygent research answered structured questions with source URLs on most rows in my test — useful when staged behind cheaper filters
- + Financially credible and shipping fast: $115M Series D at $7.1B valuation (clay.com/blog/series-d), 17k+ customers claimed
Cons
- - Real entry price is $185/mo (Launch) plus credit burn — the legacy $149 Starter figure floating around aggregators is outdated
- - Waterfall ordering is unforgiving: putting an expensive provider first tripled my credit burn for 5% more coverage in one test
- - Generalist automation is out of scope — no arbitrary SaaS triggers, no self-hosting; GTM data motions only
- - Some Series D "self-learning revenue engine" claims are roadmap, not what ships today; treat the agent story as vendor vision
- - Email accuracy still depends on underlying providers — I saw mid-single-digit bounce rates on best-effort results and ran downstream validation
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