Clay reference architecture
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'Design production Clay enrichment pipelines with table schemas, waterfall patterns, and CRM sync.
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SKILL.md
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Clay Reference Architecture
Overview
Production architecture for Clay-based lead enrichment and go-to-market data operations. Covers the three integration patterns (webhook-only, webhook + HTTP API, and full Enterprise API), table schema design, and CRM synchronization flows.
Prerequisites
- Clay account with appropriate plan tier
- Clear understanding of data volume and enrichment needs
- CRM integration target (HubSpot, Salesforce, etc.)
- Defined Ideal Customer Profile (ICP)
Instructions
Step 1: Choose Your Integration Pattern
Pattern A: Webhook-Only (All Plans)
──────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
│
Manual export via CSV
or native CRM action
Pattern B: Webhook + HTTP API Callback (Growth+ Plans)
──────────────────────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
│
HTTP API Column
│
POST to your app
│
CRM / DB
Pattern C: Full Automation with Enterprise API (Enterprise)
──────────────────────────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
│ │
│ HTTP API Column
│ │
└──Enterprise API──> Person/Company lookup POST to your app
(lightweight, fast) │
CRM / DB
Step 2: Design Table Schema
Standard Lead Enrichment Table:
┌─────────────────────────────────────────────────────────────┐
│ CLAY TABLE: Outbound Leads │
├─────────────┬───────────────┬──────────────────────────────┤
│ Input Cols │ Enrichment │ AI + Formula + Output │
├─────────────┼───────────────┼──────────────────────────────┤
│ domain │ Company Name │ ICP Score (formula) │
│ first_name │ Employee Count│ Lead Tier (formula: A/B/C) │
│ last_name │ Industry │ Personalized Opener (AI) │
│ source │ Tech Stack │ Recent News (Claygent) │
│ linkedin_url│ Work Email │ CRM Push (HTTP API) │
│ │ Job Title │ Outreach Push (HTTP API) │
│ │ Phone Number │ │
│ │ LinkedIn URL │ │
└─────────────┴───────────────┴──────────────────────────────┘
Column execution order (left to right):
1. Company enrichment (Clearbit) ─ fast, provides context for later columns
2. Person enrichment (Apollo/PDL) ─ medium speed
3. Email waterfall (Apollo > Hunter) ─ conditional: requires domain + name
4. Phone lookup (if needed) ─ conditional: ICP Score >= 80
5. ICP Score formula ─ instant, computes from enriched data
6. Claygent research ─ slow, conditional: ICP Score >= 60
7. AI personalization ─ conditional: ICP Score >= 70
8. CRM push (HTTP API) ─ conditional: ICP Score >= 70 + has email
Step 3: Configure Waterfall Pattern
# Recommended waterfall configuration
email_waterfall:
strategy: "cheapest-first, stop-on-match"
providers:
- name: apollo
credits: 2
coverage: ~70%
speed: fast
- name: hunter
credits: 2
coverage: ~60%
speed: fast
combined_coverage: ~83%
max_credits: 4
company_enrichment:
strategy: "single provider"
provider: clearbit
credits: 2
coverage: ~90%
fallback: apollo (if Clearbit returns empty)
person_enrichment:
strategy: "primary + fallback"
providers:
- name: apollo
credits: 2
- name: people_data_labs
credits: 3
Step 4: Implement ICP Scoring
# Clay Formula Column: ICP Score (0-100)
LET(
# Company size scoring (0-30)
size, IF(Employee Count > 1000, 30,
IF(Employee Count > 200, 25,
IF(Employee Count > 50, 15,
IF(Employee Count > 10, 5, 0)))),
# Industry match (0-30)
industry, IF(OR(
Industry = "Software",
Industry = "Technology",
Industry = "SaaS",
Industry = "Information Technology"
), 30, IF(OR(
Industry = "Financial Services",
Industry = "Healthcare"
), 20, 10)),
# Title seniority (0-25)
title, IF(OR(
CONTAINS(Job Title, "CEO"), CONTAINS(Job Title, "CTO"),
CONTAINS(Job Title, "VP"), CONTAINS(Job Title, "C-Suite")
), 25, IF(OR(
CONTAINS(Job Title, "Director"), CONTAINS(Job Title, "Head of")
), 20, IF(
CONTAINS(Job Title, "Manager"), 10, 5
))),
# Data completeness (0-15)
data, IF(ISNOTEMPTY(Work Email), 10, 0) +
IF(ISNOTEMPTY(Phone Number), 5, 0),
size + industry + title + data
)
# Lead Tier Column
IF(ICP Score >= 80, "A",
IF(ICP Score >= 60, "B",
IF(ICP Score >= 40, "C", "D")))
Step 5: CRM Sync Architecture
# HubSpot integration via HTTP API column
crm_sync:
trigger: "ICP Score >= 70 AND ISNOTEMPTY(Work Email)"
method: POST
url: "https://api.hubapi.com/crm/v3/objects/contacts"
dedup_key: email # Prevent duplicate contacts
field_mapping:
email: "{{Work Email}}"
firstname: "{{first_name}}"
lastname: "{{last_name}}"
company: "{{Company Name}}"
jobtitle: "{{Job Title}}"
hs_lead_status: "NEW"
clay_icp_score: "{{ICP Score}}"
clay_enrichment_date: "{{_clay_enriched_at}}"
# Alternative: Use Clay's native HubSpot/Salesforce action columns
# (simpler setup, fewer credits, built-in dedup)
native_crm_action:
type: "HubSpot: Create/Update Contact"
dedup: "Match on email"
auto_run: true
condition: "ICP Score >= 70"
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Enrichment credits exhausted | Too many lookups per row | Use conditional runs, connect own API keys |
| Duplicate CRM records | No dedup key in CRM push | Use email as unique identifier |
| Low email coverage | Single provider waterfall | Add second provider (Apollo + Hunter) |
| Slow table processing | Too many enrichment columns | Add conditional runs, order by speed |
| Stale enrichment data | No re-enrichment schedule | Re-run quarterly on existing contacts |
Resources
- Clay University -- Sources
- Clay University -- Actions & Data Credits
- Clay University -- HubSpot Integration
Next Steps
For multi-environment configuration, see clay-multi-env-setup.