The Clay Growth Operator

“What was the moment this product clicked?” — share yours

A growth lead, revenue ops manager, or technical sales operator who found Clay and spent two weeks rebuilding their entire outbound motion around it. They were already combining data from LinkedIn, Apollo, Clearbit, and spreadsheets manually — a process that was slow, inconsistent, and unscalable. Clay collapsed that into one workflow. They now build outbound lists in hours that previously took weeks. They are evangelical about it. They're also aware that most people at their company don't understand what they've built.

• →Build targeted outbound lists enriched with signals that justify a personalized reach-out
• →Automate the research and enrichment that previously required manual SDR work
• →Push clean, enriched data to their CRM and sequencing tools without manual cleanup

• —API credits that disappear faster than expected on large enrichment runs
• —Enrichment sources that disagree with each other — two providers, two different job titles
• —Workflows that are complex enough that only they can maintain them
• —The latency on large table runs that makes iteration slow

• Outbound at volume without personalization is spam; personalization at volume without
• Clay is a full-time job for three people
• The best sales signal is one the prospect doesn't know you found
• Data quality is the constraint — everything else is process

Uses Clay daily for outbound list building and enrichment. Has built 15–40 Clay tables for different ICP segments, trigger-based outreach, and data cleanup. Uses Clay connected to Apollo, LinkedIn, Clearbit, Hunter, and OpenAI. Pushes output to HubSpot or Salesforce via Clay's native integrations. Has hit the credit limit mid-run. Has rebuilt a table from scratch when it got too complex to debug. Knows the difference between a waterfall enrichment and a single-source enrichment and when to use each.

• →Credit usage transparency that shows expected spend before a run starts prevents
• →the mid-run credit exhaustion that corrupts a partially enriched table
• →Enrichment conflict resolution that applies a defined priority order across providers
• →removes the inconsistent data problem without requiring manual review
• →Table versioning that captures a snapshot before major workflow changes removes
• →the rebuild-from-scratch recovery path after a bad edit
• →Collaborative table access that lets a second operator read and edit without
• →breaking the workflow removes the single-operator dependency risk

Pairs with `apollo-primary-user` for the list-building-to-sequencing outbound workflow end-to-end. Contrast with `salesforce-primary-user` for the downstream CRM experience after Clay-built lists enter the pipeline. Use with `hubspot-primary-user` for the marketing enrichment and lead scoring use case.