Clay 101: A Beginner's Guide to GTM Automation & Enrichment

If you've seen "Clay" listed as a requirement on a GTM Engineer job posting and had no idea what it meant, this is the guide. Clay is not a data provider you subscribe to -- it's a workflow layer that sits on top of dozens of data providers and stitches them together.

What Is Clay?

Clay is built on a familiar interface: a spreadsheet. Rows represent companies or contacts; columns represent data points or actions. The difference from a normal spreadsheet is what a column can do -- instead of a static formula, a Clay column can call an API, run an AI prompt, scrape a website, or pull from a third-party enrichment provider, and it does this automatically for every row in the table.

That makes Clay function less like a spreadsheet and more like a lightweight development environment for GTM data -- the place growth and RevOps teams turn an idea ("find every company hiring an SDR right now and get me the hiring manager's email") into a running workflow, without writing code.

How Waterfall Enrichment Works

The feature most associated with Clay is waterfall enrichment. Instead of relying on one data provider (which might return nothing for 30-40% of your list), Clay queries provider after provider in sequence until it finds a match:

You only pay for the providers actually queried on each row, and the cascade order is configurable -- so you can prioritize your cheapest or most reliable sources first. The result is enrichment coverage that beats what any single tool delivers on its own, since a gap in one provider's data is often filled by another.

What GTM Teams Actually Build in Clay

The common thread: every one of these used to require a person manually researching accounts one at a time, or a patchwork of point tools that didn't talk to each other. Clay collapses that into one table that runs the same logic across thousands of rows automatically.

A Realistic Example Workflow

To make this concrete: a GTM team wants to prioritize outreach to companies that just posted a "Head of RevOps" job listing, since that role change often precedes a CRM or tooling evaluation. In Clay, that workflow looks like a handful of connected columns: one column scrapes job boards for that title across a target list of companies, a second column enriches the matching companies with firmographic data (headcount, industry, funding stage) via waterfall enrichment, a third column uses an AI prompt to check whether the company already uses a known competitor based on scraped tech stack data, and a fourth column drafts a personalized opening line referencing the specific role and company context.

The output lands as a scored, enriched, partially-personalized list -- built once as a workflow, then re-run automatically as new job listings appear, rather than a person manually repeating that research for every new company that qualifies.

Clay vs. Traditional Enrichment Tools

These tools are frequently used together rather than as substitutes -- Clay's waterfall can call ZoomInfo or Apollo as one of several providers in its cascade, using each for what it does best rather than betting everything on one source.

Connecting Clay to HubSpot

Once a Clay table has enriched and scored a list, the data needs to land somewhere reps and marketers actually work -- for most GTM teams, that's HubSpot. The typical path:

• Native integration: Clay can push enriched rows directly into HubSpot as new or updated contact and company records
• Zapier / Make: For more custom logic (conditional routing, multi-object updates), teams route Clay output through an automation platform before it hits HubSpot
• Property mapping: Enrichment fields need dedicated HubSpot properties set up in advance -- technographic data, hiring signals, and firmographic fields don't map cleanly to HubSpot's defaults out of the box

The step teams most often skip is the last one -- and it's the reason enrichment data ends up sitting in a generic "notes" field instead of powering lead scoring or segmentation.

Who Should (and Shouldn't) Start With Clay

Good fit if:

• Your team manually researches accounts before outreach and wants that research automated at scale
• You're paying for multiple data providers and getting inconsistent coverage from each
• You have -- or are hiring -- someone comfortable with structured data and basic workflow logic

Not the first priority if:

• Your CRM data is still messy -- enrichment compounds a dirty data problem rather than fixing it
• You don't yet have a defined ICP -- Clay accelerates targeting you've already figured out, it doesn't figure out targeting for you

Clay doesn't replace a RevOps or GTM engineering function -- it gives one person the leverage that used to require three or four hires. That leverage is wasted if the CRM on the receiving end can't use the data it produces.

Where Clay Fits Next to a GTM Engineer or RevOps Hire

Clay proficiency has become common in GTM engineering job postings for a specific reason: the role itself is largely defined by the ability to chain tools like Clay, HubSpot, and an automation platform into a working pipeline. That doesn't mean a company needs a dedicated GTM engineer before touching Clay -- plenty of RevOps generalists and even individual marketers run simple Clay workflows without that title. But as workflows grow more complex (branching logic, multiple enrichment waterfalls, AI-driven qualification steps), the maintenance burden starts to look more like an engineering function than a one-off project, which is usually the point where teams formalize the role rather than leaving it as a side task.

Getting Started With Clay

• Step 1: Start with one narrow use case -- enriching a single target list -- before building a company-wide workflow
• Step 2: Set up the HubSpot properties that will receive enrichment data before running your first table
• Step 3: Configure waterfall order by cost and reliability, cheapest and most trusted sources first
• Step 4: Connect output to HubSpot via native integration or Zapier/Make, and confirm records update correctly
• Step 5: Layer in AI-personalized fields (like custom email openers) only after the base enrichment pipeline is reliable

Frequently Asked Questions

What is Clay used for?

A data enrichment and workflow automation platform where each spreadsheet column runs an API call, AI prompt, formula, or enrichment provider -- used by GTM and RevOps teams to build prospecting and research workflows without code.

What is waterfall enrichment in Clay?

A method that cascades a data lookup across multiple providers in sequence until a match is found, producing higher coverage than any single source alone.

Is Clay a replacement for ZoomInfo or Apollo?

Not exactly -- Clay is often used alongside those tools, calling them as data sources within its waterfall rather than replacing them outright.

Does Clay integrate with HubSpot?

Yes, through Clay's native HubSpot integration, or via Zapier/Make for more custom routing logic.

Do I need to know how to code to use Clay?

No -- it's a no-code spreadsheet interface, though comfort with structured data and logic speeds up building advanced workflows.