Clay

Clay is data enrichment with AI built in. You drop 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. Then the AI synthesizes that into a one-line "why now" insight per row.

So the workflow turns raw company lists into qualified, contextual outreach lists in minutes. The spreadsheet-style interface feels familiar. Columns are enrichment sources, rows are companies. AI columns generate custom signals: scoring fit, writing outreach hooks, flagging when something changed.

The "why now" insight is the killer feature for outbound teams. Instead of guessing whether a company is in-market, Clay summarizes the specific signal (raised a Series B last week, just hired a new VP Marketing, posted about scaling pain on LinkedIn) that justifies reaching out today.

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

Plus 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, the math of consolidating data spend usually works.

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

Now, for bulk verified contacts at the lowest cost without contextual signals, Apollo's database is the simpler fit. Clay assumes the team values context more than raw volume. If your motion is pure-volume outbound, the Clay overhead doesn't pay off.

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.