Shared inbox cost calculator

Support tool pricing is a function, not a number: seat caps, per-outcome AI, expiring credits. Model your real bill across 17 tools at your team size and AI volume.

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Enterprise platforms

Custom pricing: shown for context, not computed.

Sierra
~$150K+/yr
Enterprise conversational AI platform
Decagon
~$50K platform + usage
Enterprise AI agent with custom models
Ada
Custom pricing
Enterprise AI customer service automation
Salesforce Agentforce
~$2/conversation + licensing
Requires Salesforce Service Cloud licensing
Parahelp
Est. $0.50-1.00/res, low-five-figure contracts
Unpublished pricing

What the numbers show

At 3 seats with 100 AI conversations, Missive leads shared inboxes at $0 (Crisp matches in chat at $45, and Tawk.to is free if you need no AI). At 10 seats with 300 AI conversations, Crisp is the cheapest chat platform at $95/mo (per-workspace pricing). Among shared inboxes, Missive comes in at $140, and HubSpot Service Hub leads help desks at $150. At 12 seats with 800 AI conversations, per-outcome AI pricing compounds: Help Scout reaches $900, Intercom Fin hits $1,140. Flat-rate models like Drag ($216) hold steady as AI volume climbs.

Frequently asked questions

How much does a shared inbox cost?

It depends on your team size and AI usage. Per-seat tools like Drag cost $12-18/seat/mo. Per-workspace tools like Crisp charge $0-295/mo based on seat tiers. Per-outcome AI agents like Intercom Fin add $0.99 per resolved conversation. Use the calculator above to model your exact bill.

Which shared inbox is cheapest?

Tawk.to is free but has minimal AI. Among paid tools, Crisp is cheapest for chat at 10 seats ($95/mo per-workspace). For Gmail shared inboxes with AI, Drag starts at $18/seat. The cheapest option depends on your team size and AI volume.

How does AI pricing work for support tools?

AI pricing varies by model: flat per-seat (included in tools like Drag), per-resolution (Help Scout $0.75, Intercom Fin $0.99), per-session (Freshdesk $0.49), or credit-based (Crisp Hugo). Per-outcome pricing scales linearly with volume; flat pricing stays constant.

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