Integration

Clean and Clay, working together

Clay is a data and enrichment canvas. Clean is the GTM motion that decides who to work, why now, and what to say. Use Clay to assemble and enrich account and contact data, then hand that data to Clean to profile each lead against 75 buying signals, rank accounts S through C, map warm relationship paths, and run low-volume grounded outreach. The two are complementary: Clay sources and shapes data, Clean applies judgment and execution on top of it.

Book a demo

Summary

Clean works alongside Clay: Clay enriches and structures account data, Clean supplies the judgment and grounded outreach motion. See the division of labor and setup.

Intent
Understand how Clean and Clay divide the work and how to connect them.
Audience
B2B SaaS GTM and founder-led teams already using or evaluating Clay.
Topics
Clay integrationdata enrichmentbuyer profilingwarm outboundGTM workflow

Last updated June 15, 2026

The short answer

Clean and Clay are complementary, not competing. Clay is the enrichment and data canvas that sources, joins, and structures account and contact records. Clean is the judgment layer and grounded execution on top: it profiles each lead against 75 buying signals, ranks accounts S through C, maps warm paths, and runs the outreach.

01

What does each tool do?

Clay is an enrichment and data canvas: you build tables, pull from many data sources, run waterfalls, and structure account and contact records. Clean is the motion on top of that data. Clean profiles every lead against 75 buying signals across 8 categories for under a dollar, ranks accounts S through C with the evidence behind each score, maps warm relationship paths from your team's real graph, and runs low-volume grounded outreach. Clay shapes the data; Clean decides what to do with it.

02

Where is the dividing line?

Use Clay for sourcing, joining, and enriching: firmographics, contact details, technographics, and any data you assemble across providers. Use Clean for judgment and execution: which accounts deserve attention now, why, who on your team has a warm path in, and what to say. Clean reads the structured output Clay produces and grounds its scoring and outreach in your company's own knowledge. The handoff is the enriched record leaving Clay and entering Clean.

03

How do you connect Clay to Clean?

You export or sync the enriched table from Clay, then import those records into Clean as leads. Clean then runs profiling against 75 buying signals, returns an S-through-C rank with evidence per account, and surfaces warm paths from your relationship graph. The howTo below walks through the three steps. Setup is light because Clean is in closed beta and onboards a few teams at a time, usually live within about a week.

04

Three workflow examples

These show the division of labor in practice, with Clay producing data and Clean producing the motion. Each example keeps Clay doing what it does best and lets Clean apply judgment and grounded outreach on top.

  • Inbound triage: Clay enriches new signups or form fills with firmographics and contact data; Clean profiles each against your ICP, ranks them S through C, and routes the A and S accounts to a warm-path opener.
  • Target account list: Clay assembles and enriches a named-account list across data sources; Clean scores each account against 75 buying signals, shows the evidence, and surfaces which teammates have a warm relationship path in.
  • List refresh: Clay re-enriches an existing account list on a schedule; Clean re-profiles changed accounts, flags newly strong buying signals, and queues low-volume grounded outreach only where the evidence justifies it.

Common questions.

Does Clean replace Clay?

No. Clean does not replace Clay. Clay is an enrichment and data canvas that sources, joins, and structures account and contact data across providers. Clean is the judgment layer and grounded execution that sits on top: it profiles leads against 75 buying signals, ranks accounts S through C with evidence, maps warm relationship paths, and runs the outreach. Many teams keep Clay for data and add Clean for the motion.

How does data move from Clay to Clean?

You finish your enrichment in Clay, then export or sync the table and import those records into Clean as leads. Clean reads the structured output Clay produces and treats each record as an account or contact to profile. From there Clean runs its scoring and warm-path mapping. The handoff is simply the enriched record leaving Clay and entering Clean, which keeps each tool focused on what it does best.

What does Clean add that Clay does not?

Clean adds judgment and grounded execution. It profiles every lead against 75 buying signals across 8 categories for under a dollar, ranks accounts S through C with the evidence behind each score, maps warm relationship paths from your team's real relationship graph, and runs low-volume grounded outreach. Clay structures and enriches data; Clean decides who to work, why now, and what to say, then executes.

Do I still need Clay if I use Clean?

It depends on your data needs. Clean is not a scraper, contact database, or enrichment spreadsheet, so if you rely on Clay's enrichment waterfalls and multi-source data canvas, you keep using Clay for that. Clean takes the enriched records and applies profiling, ranking, warm-path mapping, and grounded outreach. The two are complementary, so teams that value Clay's data work typically run both side by side.

How long does it take to start using Clean with Clay?

Clean is in closed beta and onboards a few teams at a time, so a team is usually live within about a week. Once you are onboarded, connecting Clay is light: enrich your records in Clay, import them into Clean, and let Clean profile, rank, and act. Because Clay handles the data and Clean handles the motion, there is little custom setup between the two.

Will Clean change my Clay tables or data?

No. Clean reads the enriched records you import from Clay and uses them to profile leads, rank accounts S through C, and map warm paths; it does not manage or rewrite your Clay canvas. Clay remains your data and enrichment workspace. Clean's outputs, the scores, evidence, and outreach, live in Clean. This keeps a clean division of labor: Clay owns the data, Clean owns the judgment and execution.

Next