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Clay vs 11x

Clay11x

Bottom line: Clay for sales development and outbound teams building scalable prospecting systems; 11x for teams wanting to automate outbound SDR work.

Clay is a B2B data enrichment and outbound automation platform that combines multiple data providers, AI-powered research agents (Claygents), and workflow automation for sales and marketing teams

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AI "digital workers" for sales, including the Alice SDR and Julian phone agent.

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Votes00
PricingFreemiumPaid
CategorySalesSales
Tags
generate-leadsdo-researchautomate-workflows
ai-sdroutbound-automationsalesai-agentsvoice-agent
Best for
  • Sales development and outbound teams building scalable prospecting systems
  • RevOps teams standardizing enrichment and data hygiene across the funnel
  • Growth marketers running account-based marketing programs
  • Teams wanting to automate outbound SDR work
  • Companies scaling outreach without hiring
  • Organizations comfortable running AI pilots
Pros
  • Waterfall enrichment chains 200+ data providers in sequence, delivering materially higher contact coverage and match rates than any single-vendor data source can achieve
  • Claygent AI agents let teams answer bespoke research questions about companies and people at scale, replacing hours of manual prospect research
  • The signals engine surfaces buying triggers like job changes and promotions, enabling timely, relevance-driven outreach rather than static list building
  • A single data marketplace consolidates purchasing and credits across many providers, removing the need to negotiate and manage separate vendor contracts
  • The platform now spans the full outbound workflow—enrichment, sequencing, ad audience syncing, and natural-language workflow building via Sculptor—reducing tool sprawl
  • Automates time-consuming outbound SDR tasks
  • Alice 2.0 is a reported architectural rebuild
  • Adds AI voice outreach via Julian
  • Well-funded with top-tier investors
  • Integrates with major CRMs and outbound tools
Cons
  • The platform has a genuine learning curve; formulas, conditional logic, and multi-step recipes take time to master before teams see full value
  • Consumption-based pricing splits platform fees from data credits, making total spend hard to predict and prone to climbing quickly at higher volumes
  • Recent plan restructuring moved API and CRM features into higher tiers, raising effective costs for some mid-tier users
  • For teams that only need occasional, small-batch enrichment, the platform's power and cost structure can be overkill
  • Faced scrutiny over inflated logos and revenue claims
  • Reported churn and a leadership change
  • Reviews cite generic output and heavy setup effort
  • No published pricing and high minimum contracts
  • No free plan or self-serve trial

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