Apollo vs Clay

Detailed side-by-side comparison to help you choose the right tool

Apollo

Sales & Marketing AI

Apollo combines a 265M+ B2B contact database with AI-powered prospecting, multi-channel sequence automation, and revenue analytics to accelerate sales development from lead discovery through closed deals.

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Starting Price

Custom

Clay

🟒No Code

Sales & Marketing AI

Advanced AI-powered sales prospecting and data enrichment platform that automates lead research, prospect discovery, and personalized outreach at scale.

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Starting Price

Free (14-day Pro trial); paid plans from $149/month

Feature Comparison

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FeatureApolloClay
CategorySales & Marketing AISales & Marketing AI
Pricing Plans8 tiers8 tiers
Starting PriceFree (14-day Pro trial); paid plans from $149/month
Key Features
  • β€’ 265M+ B2B contact database
  • β€’ AI-powered prospect discovery
  • β€’ Multi-channel sequence automation
  • β€’ Claygent AI research agents
  • β€’ Sculptor no-code workflow builder
  • β€’ Signals trigger tracking

Apollo - Pros & Cons

Pros

  • βœ“Massive contact database of 265M+ verified B2B contacts with 65+ filter attributes, reducing the need for a separate data vendor like ZoomInfo or Lusha.
  • βœ“All-in-one platform consolidating prospecting, email/phone/LinkedIn sequencing, dialer, meeting scheduler, and analytics, so teams can retire multiple point tools.
  • βœ“Genuinely useful free tier with unlimited email credits and basic sequences, making it practical for solo founders and early-stage SDRs to actually test the product.
  • βœ“Strong native integrations with Salesforce, HubSpot, Gmail, Outlook, LinkedIn, and Slack, plus a widely-used Chrome extension for prospecting from any webpage.
  • βœ“AI features (email writer, deal assistant, power-ups, intent scoring) are bundled into standard plans rather than locked behind expensive add-on SKUs.
  • βœ“Per-seat pricing with monthly billing available is significantly cheaper than enterprise competitors, with published rates instead of forced sales calls.

Cons

  • βœ—Data accuracy is inconsistent for senior executives, smaller companies, and non-US regions, where bounce rates and outdated titles are noticeably higher than premium providers.
  • βœ—Email deliverability can suffer at scale if sequences aren't carefully warmed up and throttled, and Apollo's own sending reputation has drawn spam complaints in some industries.
  • βœ—The interface bundles so many features that new users face a steep learning curve, and advanced workflow and enrichment features require meaningful configuration time.
  • βœ—Credit and export limits on lower tiers can be restrictive for high-volume outbound teams, pushing real users onto Organization or Unlimited plans faster than expected.
  • βœ—Support response times on lower-tier plans are slow, with chat and ticket-only access and no dedicated CSM until higher-paid tiers.

Clay - Pros & Cons

Pros

  • βœ“Waterfall enrichment across 150+ premium data sources delivers significantly higher enrichment rates than single-vendor solutionsβ€”Anthropic's sales operations team has described improving their enrichment rate by approximately 2x after switching to Clay (as referenced on Clay's customer page)
  • βœ“Claygent AI agents autonomously research prospects with human-like depthβ€”visiting sites, parsing job posts, and synthesizing insights at machine speed
  • βœ“Highly rated on G2 (approximately 4.9/5 based on 200+ reviews as of early 2026) with proven adoption at well-known companies including OpenAI, Anthropic, Intercom, Rippling, Verkada, and Vanta
  • βœ“Sculptor no-code workflow builder enables RevOps teams to ship complex multi-step automations without engineering support
  • βœ“Native ad sync to LinkedIn, Meta, and Google turns enriched audiences into coordinated multi-channel campaigns
  • βœ“14-day Pro trial with no credit card required lowers the evaluation barrier compared to enterprise data vendors with annual contracts

Cons

  • βœ—Credit-based pricing can become expensive quickly when running waterfall enrichments or AI agents across large lists, and forecasting monthly spend requires careful workflow design
  • βœ—Steep learning curve for advanced workflows β€” getting full value typically requires a dedicated RevOps owner or hiring a Clay-certified consultant
  • βœ—Claygent and large enrichment runs can be slow on big tables (thousands of rows), and long-running jobs occasionally need manual restarts
  • βœ—Data accuracy still depends on underlying providers; even with waterfall logic, mobile numbers and personal emails have lower hit rates than business contacts
  • βœ—Lacks the deep multi-channel sequencing, dialer, and conversation analytics found in dedicated sales engagement platforms, so most teams still pair Clay with Outreach, Salesloft, or Smartlead

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πŸ”’ Security & Compliance Comparison

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Security FeatureApolloClay
SOC2β€”βœ… Yes
GDPRβ€”βœ… Yes
HIPAAβ€”βŒ No
SSOβ€”βœ… Yes
Self-Hostedβ€”βŒ No
On-Premβ€”βŒ No
RBACβ€”βœ… Yes
Audit Logβ€”βœ… Yes
Open Sourceβ€”βŒ No
API Key Authβ€”βœ… Yes
Encryption at Restβ€”βœ… Yes
Encryption in Transitβ€”βœ… Yes
Data Residencyβ€”US (primary)
Data Retentionβ€”Customer data retained for duration of contract; deleted within 90 days of account termination upon request
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