Design custom CRM data models
sales-attioskillsetup L3★18
sales-skills/sales ↗What it does
Design custom data model, pipeline, automations, and AI in modern CRM
Best for
Small-to-mid-market (1-50 seat) teams exiting HubSpot/Salesforce who value flexible data modeling and API-first integration over enterprise compliance (SOC 2) requirements
Inputs
- · current CRM or spreadsheet data model
- · deal pipeline stages matching sales process
- · contact/account data (from CSV or API)
- · automation rules and triggers
Outputs
- · custom objects and attributes (People, Companies, Deals, custom entities)
- · configured deal pipeline with automation
- · email sync and contact auto-creation
- · API/webhook access for integrations
- · AI research agents and enrichment
Requires
- · Attio platform
- · Gmail/Outlook for email sync
- · Zapier/Make/MCP for integrations
- · CSV import or API (for data migration)
Preconditions
- · Attio account created (Free to Enterprise tier)
- · data model planned before object creation
- · existing data cleaned and ready for import
- · email integration optional but recommended
Failure modes
Complex automations break silently if over-engineered early → start with 2-3 simple automations; restructuring data model later is expensive → get model right first; migration from HubSpot/Salesforce loses custom properties if not mapped
Trust signals
- · 6-step setup playbook (map model → standard objects → email sync → pipelines → import → automations)
- · plan-to-features matrix (Free/Plus/Pro/Enterprise) with cost per seat
- · HubSpot migration workflow documented (export, map, import in dependency order)
- · flexible data model (custom objects, relationships, attributes)
- · AI features (Ask Attio, research agents, auto-enrichment) mentioned
- · integration patterns (Zapier, Make, REST API, webhooks) supported