Quick signals
What this product actually is
Front is built for teams where collaborative inbox workflows matter more than traditional ticket queues: agencies, operations teams, and B2B companies managing high-context conversations across email, SMS, and social.
Pricing behavior (not a price list)
These points describe when users typically pay more, what actions trigger upgrades, and the mechanics of how costs escalate.
Actions that trigger upgrades
- Need omnichannel (multi-channel)—Starter to Growth ($19 → $59/seat)
- Outgrow Starter seat limits—Growth allows more seats
- Need more than 10 (Starter) or 20 (Growth) automation rules—Scale or Premier unlimited
- AI Copilot, Smart QA, Smart CSAT—add-ons or Premier included
- Multiple workspaces beyond limits—Premier unlimited
- API rate limits—$200 per 100 req/min increase
When costs usually spike
- Starter: single channel type only; email OR chat OR SMS—not multiple
- Channel max varies by plan; verify limits for multi-channel setups
- AI add-ons: Copilot $20, Smart QA $20, Smart CSAT $10/seat—Premier includes all
- Onboarding required for contracts over $25K; adds implementation cost
- WhatsApp: Meta costs + 20% Front admin fee
- Copilot: limited free suggestions on Starter/Growth; unlimited = add-on
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend specific SKUs.
Plans
- Starter - $19/seat/mo - Basic shared inbox
- Growth - $59/seat/mo - Analytics and integrations
- Premier - $229/seat/mo - Full platform depth
Enterprise
- Scale - $99/seat/mo - Enterprise rules and SLA
Costs and limitations
Common limits
- Starter: single channel only; omnichannel requires Growth $59/seat
- Growth $59 vs Help Scout Plus $50; Scale $99 vs Zendesk Suite Professional $115
- AI add-ons: Copilot $20/seat, Smart QA $20/seat, Smart CSAT $10/seat—add 50%+ to bill
- Ticketing and SLA workflows secondary; queue-centric teams prefer Zendesk/Freshdesk
- WhatsApp add-on: Meta billing + 20% admin fee
- API rate limit increase: $200 per 100 requests/min add-on
What breaks first
- Single-channel Starter limit; omnichannel forces Growth $59—210% jump
- Automation rules: 10 (Starter) or 20 (Growth) exhaust quickly
- AI add-ons (Copilot, QA, CSAT) add $50/seat; 20 agents = $1,000/mo extra
- Ticketing and SLA depth lag Zendesk; queue-centric teams hit limits
- Onboarding requirement for $25K+ contracts
- API rate limits for complex integrations; $200/100 req/min add-on
Decision checklist
Use these checks to validate fit for Front before you commit to an architecture or contract.
- Ticket queue vs conversational support model: Is email/chat resolution threaded or formal tickets?
- Per-agent vs per-ticket pricing model: What is your projected ticket volume vs agent count?
- Enterprise depth vs simplicity and adoption: How many integrations and workflow automations do you need?
- General-purpose vs vertical-specific (e-commerce): Does order lookup and refund-in-ticket dominate your support queue?
- Upgrade trigger: Need omnichannel (multi-channel)—Starter to Growth ($19 → $59/seat)
- What breaks first: Single-channel Starter limit; omnichannel forces Growth $59—210% jump
Implementation & evaluation notes
These are the practical "gotchas" and questions that usually decide whether Front fits your team and workflow.
Implementation gotchas
- Channel max varies by plan; verify limits for multi-channel setups
- Collaborative inbox over tickets → Less mature queue and SLA workflows than Zendesk
- Ticketing and SLA workflows secondary; queue-centric teams prefer Zendesk/Freshdesk
Questions to ask before you buy
- Which actions or usage metrics trigger an upgrade (e.g., Need omnichannel (multi-channel)—Starter to Growth ($19 → $59/seat))?
- Under what usage shape do costs or limits show up first (e.g., Starter: single channel type only; email OR chat OR SMS—not multiple)?
- What breaks first in production (e.g., Single-channel Starter limit; omnichannel forces Growth $59—210% jump) — and what is the workaround?
- Validate: Ticket queue vs conversational support model: Is email/chat resolution threaded or formal tickets?
- Validate: Per-agent vs per-ticket pricing model: What is your projected ticket volume vs agent count?
Fit assessment
Good fit if…
- Agencies and ops teams managing client email/SMS/social in shared inboxes
- B2B account and customer success with multi-touch, high-context conversations
- Teams where collaborative commenting and drafts matter more than ticket queues
- Inbound sales and support blended; one inbox for leads and support
- Professional services with client communication across channels
- Teams wanting conversation-centric UX over ticket-centric Zendesk/Freshdesk
Poor fit if…
- Traditional ticket-queue workflows; Zendesk/Freshdesk built for that
- E-commerce with order lookup—Gorgias native
- Chat-first, AI deflection—Intercom's Fin and chat UX stronger
- Budget-conscious; Growth $59/seat + AI add-ons = $79–99/seat
- Single-channel (email-only) at scale; Help Scout or Zoho Desk cheaper
- Need mature SLA policies and breach tracking—Front's ticketing lighter
Trade-offs
Every design choice has a cost. Here are the explicit trade-offs:
- Collaborative inbox over tickets → Less mature queue and SLA workflows than Zendesk
- Conversation-centric UX → Ticket-centric teams may miss queue depth
- Starter $19 single-channel → Omnichannel requires Growth $59
- AI add-ons optional → Premier includes all but $229/seat
- Strong for agencies/ops → Overkill for simple email-only support
Common alternatives people evaluate next
These are common “next shortlists” — same tier, step-down, step-sideways, or step-up — with a quick reason why.
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Zendesk — step-upWhen ticket queues, SLA policies, and enterprise governance matter more.
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Help Scout — step-downEmail-centric shared inbox; Standard $25/user; simpler, no omnichannel complexity.
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Intercom — step-sidewaysChat-first and Fin AI; Essential $39/seat; different conversation model.
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Freshdesk — step-sidewaysTicketing-first; Growth $15/agent; queue-centric with automation.
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Gorgias — step-sidewaysE-commerce; ticket-based pricing; native Shopify order actions.
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.