clay
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
What this skill does
# Clay — AI-Powered Lead Enrichment and Outbound Automation
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
## Core Capabilities
### Table Setup and Enrichment
```markdown
## Clay Table Structure
A Clay table is a spreadsheet with superpowers. Each row is a lead.
Columns can be:
- **Imported** — CSV upload, CRM sync, or webhook
- **Enriched** — Auto-populated from 75+ data sources
- **AI-generated** — GPT/Claude processes enriched data into insights
## Example: ICP-Matched Lead Table
| Column | Source | Description |
|-----------------|-----------------|------------------------------------------|
| Company Name | Import | From LinkedIn export or CRM |
| Domain | Enrichment | Company website from Clearbit |
| Employee Count | Enrichment | From LinkedIn/Crunchbase |
| Funding Stage | Enrichment | Series A/B/C from Crunchbase |
| Tech Stack | Enrichment | BuiltWith/Wappalyzer detection |
| API Endpoints | Enrichment | Custom: count public API docs pages |
| Decision Maker | Enrichment | VP Eng/CTO from LinkedIn + Apollo |
| Email | Enrichment | Verified email from Hunter/Apollo |
| Recent News | Enrichment | Latest press from Google News |
| LinkedIn Post | Enrichment | Latest post from contact's LinkedIn |
| ICP Score | AI Formula | 0-100 score based on all enrichment data |
| Personalized Opener | AI Formula | GPT-generated first line for cold email |
```
### API Integration
```typescript
// Fetch enriched leads from Clay table
const response = await fetch(`https://api.clay.com/v3/tables/${tableId}/rows`, {
headers: {
"Authorization": `Bearer ${process.env.CLAY_API_KEY}`,
"Content-Type": "application/json",
},
});
const { data: rows } = await response.json();
// Filter to qualified leads
const qualified = rows.filter(row => (
row.icpScore >= 70 &&
row.emailVerified === true &&
row.employeeCount >= 20
));
// Add a new lead via API (triggers enrichment automatically)
await fetch(`https://api.clay.com/v3/tables/${tableId}/rows`, {
method: "POST",
headers: {
"Authorization": `Bearer ${process.env.CLAY_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
rows: [
{ "Company": "Acme Corp", "Domain": "acme.com" },
{ "Company": "Beta Inc", "Domain": "beta.io" },
],
}),
});
// Clay automatically enriches all configured columns
```
### Enrichment Providers
```markdown
## Available Data Sources (75+)
**Company Data:**
- Clearbit, Crunchbase, LinkedIn (company), BuiltWith, Wappalyzer
- Google Maps, Glassdoor, G2, TrustRadius
**Contact Data:**
- Apollo, Hunter, Lusha, RocketReach, Snov.io
- LinkedIn (person), Twitter/X profile
**Technographic:**
- BuiltWith, Wappalyzer, SimilarTech
- Custom HTTP header checks, robots.txt analysis
**Intent & News:**
- Google News, Crunchbase funding alerts
- Job posting analysis (hiring signals)
- Website change detection
**AI Enrichment:**
- GPT/Claude for custom analysis
- "Summarize this company's value proposition in one sentence"
- "Score this lead 0-100 against our ICP: B2B SaaS, 20-100 employees, uses Node.js"
```
### Webhook Triggers
```typescript
// Clay fires webhooks when rows change or meet conditions
// Example: trigger outbound sequence when ICP score reaches 80+
// Webhook payload from Clay
interface ClayWebhook {
table_id: string;
row_id: string;
trigger: string; // "row_updated" | "filter_matched"
data: {
company: string;
contactEmail: string;
contactName: string;
icpScore: number;
personalizedOpener: string;
};
}
// Handle webhook — start email sequence
app.post("/api/clay-webhook", async (req, res) => {
const payload: ClayWebhook = req.body;
if (payload.data.icpScore >= 80) {
await startEmailSequence({
to: payload.data.contactEmail,
name: payload.data.contactName,
company: payload.data.company,
opener: payload.data.personalizedOpener,
});
}
res.json({ ok: true });
});
```
## Installation
```markdown
## Setup
1. Create account at https://clay.com
2. Create a table with your ICP columns
3. Configure enrichment providers (drag-and-drop)
4. Set up AI formulas for scoring and personalization
5. API key: Settings → API → Generate key
## Pricing
- Free: 100 enrichments/month
- Starter: $149/month (2,000 enrichments)
- Explorer: $349/month (10,000 enrichments)
- Pro: $800/month (50,000 enrichments)
```
## Best Practices
1. **Start with domain** — Import company domains; Clay enriches everything else automatically
2. **ICP scoring formula** — Use AI formulas to score leads 0-100; automate which leads get outreach
3. **Waterfall enrichment** — Clay tries multiple providers for each data point; if Apollo has no email, it tries Hunter, then Lusha
4. **Webhook to CRM** — Trigger webhooks when leads qualify; auto-create deals in HubSpot/Salesforce
5. **Email verification** — Always verify emails before sending; Clay has built-in verification from multiple providers
6. **Personalization at scale** — Use AI columns to generate openers based on LinkedIn posts, tech stack, and recent news
7. **Job posting signals** — Enrich with job postings; companies hiring engineers are growing and more likely to buy dev tools
8. **Refresh cadence** — Re-enrich leads monthly; tech stacks, headcount, and contacts change frequently
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