Clay

Clay is data enrichment with AI built in. You drop in a list of company names or domains and Clay pulls every public signal worth knowing: employee count, recent funding, tech stack, news mentions, hiring activity, social posts. The AI then synthesizes all of that into a one-line "why now" insight per row.

The result is that a raw company list becomes a qualified, contextual outreach list in minutes. The spreadsheet-style interface feels familiar. Columns are enrichment sources and rows are companies, and AI columns generate custom signals: scoring fit, writing outreach hooks, flagging when something changed.

That "why now" insight is the part outbound teams come for. Rather than guessing whether a company is in-market, Clay summarizes the specific signal that justifies reaching out today, whether that's a Series B last week, a freshly hired VP Marketing, or a LinkedIn post about scaling pain.

Common workflows by role:

• SDRs build prospect lists with contextual signals attached per row
• Demand gen identifies in-market accounts before they fill out a form
• Sales ops automates list-building workflows that used to be manual
• Founders run their own outbound with research-level context at SDR scale
• Recruiters use the same workflow for talent sourcing

Clay integrates with over 100 data providers behind the scenes. You get LinkedIn, Apollo, Hunter, BuiltWith, and dozens more from one subscription rather than buying each separately. For ops teams, consolidating that data spend usually pencils out.

A few specifics worth knowing:

• The spreadsheet interface lowers the learning curve for non-technical users
• AI columns can be customized with prompts for specific scoring or message logic
• Workflow automation handles enrichment, scoring, and handoff in one flow
• Enrichment credits scale with the plan tier

Where Clay fits best:

• B2B sales and growth teams running outbound where signals matter
• Operations teams consolidating multiple data tools into one
• ABM programs needing contextual research per target account
• High-touch sales motions where personalization beats volume

The integration ecosystem covers:

• LinkedIn for profile and activity data
• Apollo, Hunter, ZoomInfo for contact data
• BuiltWith for tech stack signals
• News, social, and funding APIs for context
• Salesforce, HubSpot, and Outreach for sequencer handoff

Clay assumes you value context over raw volume. If you just need bulk verified contacts at the lowest cost without the contextual signals, Apollo's database is the simpler fit, and the Clay overhead won't pay off on a pure-volume motion.

Paid subscription with no free tier, scaling by monthly enrichment credits, AI columns used in workflows, and team seats.

Best for B2B sales and growth teams running outbound where contextual signals matter more than raw contact volume. Not ideal for sales teams that just need bulk verified contacts at the lowest cost, where Apollo's database fits better.