Pricing behavior — Marketing Automation
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Pricing
Pricing for HubSpot Marketing Hub
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
Sources linked — see verification below.
Freshness & verification
Pricing behavior (not a price list)
These points describe when users typically pay more and what usage patterns trigger upgrades.
Actions that trigger upgrades
- Need automation workflows—requires Professional ($800/mo minimum)
- Need multi-touch revenue attribution—requires Enterprise ($3,600/mo)
- Contact count exceeds tier limits—costs jump significantly at 10,000, 25,000, and 50,000 contacts
- Need custom objects and computed properties—Enterprise tier only
- Need adaptive testing and predictive lead scoring—Enterprise tier only
What gets expensive first
- Mandatory onboarding fees: $3,000 (Professional) and $6,000 (Enterprise) are non-negotiable
- Contact pricing includes non-marketing contacts in some calculations—verify seat math carefully
- Transactional email (receipts, password resets) requires separate add-on or API tier
- API rate limits: 100 requests per 10 seconds on Professional; can bottleneck high-volume integrations
- Downgrading from Enterprise loses custom objects, computed properties, and attribution data
- HubSpot branding on free tier cannot be removed without upgrading to Starter ($50/mo)
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Free
- Free - $0 for 1M contacts (HubSpot branding) - No automation workflows
Plans
- Starter - $50/mo for 1,000 contacts - Basic email + forms, removes branding
Enterprise
- Professional - $800/mo for 2,000 contacts - Automation, A/B testing, custom reporting
- Enterprise - $3,600/mo for 10,000 contacts - Multi-touch attribution, predictive scoring
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
Open the full decision brief →Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.