Helpdesk

Migrate your Chatwoot data

Open-source, self-hostable customer support platform with omni-channel inbox and a generous free tier. Grows from solo shop to mid-market, but feature gating and data retention limits trip up scaling teams.

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In its favor

Why people choose Chatwoot

The signal that keeps Chatwoot on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Self-hosting option gives engineering teams full data sovereignty without per-seat SaaS fees, making it a direct replacement for Intercom at a fraction of the cost.

Free Hacker plan with 2 agents and 500 conversations lets small teams validate the platform before committing to a paid tier.

Omni-channel inbox unifies live chat, email, WhatsApp, Facebook, and API into a single queue, eliminating tab-switching for support agents.

G2 reviewers highlight clean interface and minimal training: interns resolve tickets on day one without onboarding docs.

Open-source codebase means teams can self-host on Docker Compose, own their PostgreSQL and Redis, and avoid vendor lock-in.

The Hacker free plan caps at 2 agents, 1 inbox, and 30-day data retention — teams that grow quickly hit these walls and feel forced to upgrade before they are ready.

G2 reviewers report limited connectivity issues and technical glitches including portal disconnections that interrupt active support sessions.

Captain AI credits model charges $20 per 1,000 extra credits beyond the free monthly allocation, creating unexpected billing surprises for teams that adopt AI features heavily.

Feature gating is aggressive: Teams, Automation Rules, Help Center, SSO, Audit Logs, and SLA Policies all require paid tiers, making the real cost much higher than the headline per-agent price.

Database schema inconsistencies on stable tags v4.2–v4.4 have caused production installation failures, making version upgrades risky without careful pre-testing.

Reasons to switch

Why people leave Chatwoot

The recurring reasons buyers give for replacing Chatwoot. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Chatwoot fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Fully self-hostable on Docker with PostgreSQL and Redis, giving engineering teams complete data residency control.Free tier covers 2 agents with live chat and 500 conversations, providing a genuine no-cost evaluation path.Omni-channel inbox consolidates website chat, email, WhatsApp, Facebook, Twitter, and API into a single agent queue.Clean, intuitive UI means new agents are productive on day one with minimal training overhead.Open-source MIT codebase is publicly auditable; enterprise edition extends Ruby backend without affecting the open core.

Weaknesses

Feature gating is pervasive: Teams, automations, Help Center, SSO, audit logs, and SLA all require paid tiers, making the free plan a severe false floor.30-day data retention on the Hacker plan means conversation history is permanently lost if not migrated before the cutoff.Database schema bugs on stable releases v4.2–v4.4 have caused Docker Compose installation failures in production-like environments.Captain AI credit model adds unpredictable cost: $20 per 1,000 extra credits on top of per-agent subscription fees.Limited connectivity and portal disconnections reported by G2 reviewers affect communication reliability in active support sessions.

Where it works

Solo to two-person startups evaluating a support platform for the first time without budget, needing live chat and basic email routing to validate fit before committing to a paid tier.Engineering teams with Docker and PostgreSQL expertise who require full data residency and sovereignty, particularly in regulated industries or regions with strict data localization laws.Small e-commerce or SaaS businesses in the $0–$50K ARR range migrating from Intercom who need omni-channel consolidation (live chat, email, WhatsApp) at a fraction of the per-seat SaaS cost.Support teams where agents include non-technical staff like interns or customer-facing roles who benefit from a clean, logical UI that minimizes training overhead and day-one ramp time.Organizations that already use Slack for internal communication and value a native Slack integration for real-time ticket notifications and channel forwarding.

Where it struggles

Multi-team organizations that need segregated queues, team-level reporting, and role-based access control to manage separate product lines or customer segments simultaneously.Regulated environments in healthcare, finance, or government where audit trails, data retention guarantees, and SLA compliance documentation are mandatory rather than optional.Teams with high AI feature adoption (summarization, reply suggestions, Copilot) that quickly exhaust included Captain AI credits and face unpredictable $20/1000 credit overage charges on top of per-agent subscriptions.Scale-up scenarios where the platform's aggressive feature gating (Teams, automations, Help Center, SSO gated to paid tiers) makes the true cost multiply well beyond the headline per-agent price, especially at 5–10 agents.Production environments running Docker Compose on stable tags v4.2–v4.4 where database schema inconsistencies cause installation failures, requiring engineering time for troubleshooting and version rollback.

Pricing tiers

Chatwoot pricing overview

Chatwoot bills per agent on cloud plans ($0–$39/agent/month) with data retention ranging from 30 days on the free Hacker tier to 2 years on Business. Self-hosted Enterprise Edition costs $99/agent/month. Captain AI credits cost $20 per 1,000 beyond the included monthly allocation.

Hacker

Tier 1 of 4

$0 /agent/month

What's included

Up to 2 agents500 conversations per monthLive chat channel onlyNo Captain AI, Help Center, Teams, Automations, SSO, or Audit LogsData retention: 30 days

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Pricing is informational. FlitStack AI does not bill on Chatwoot's schedule — see our quote-based pricing →

What gets migrated

Chatwoot object support

Object-by-object support for Chatwoot migrations. Per-pair details surface during scoping.

Conversations

Fully supported

Conversations are the core unit in Chatwoot. Each has a status (open/resolved/pending), priority, assignee, team, inbox, and labels. We migrate conversations as complete objects including their message arrays, timestamps, and custom_attributes. Round-robin assignment logic must be explicitly re-applied at the destination.

Contacts

Fully supported

Contacts store name, email, phone, and custom_attributes. Standard attributes auto-update; custom ones require schema mapping. We export all Contact records and re-import them, preserving any Contact Labels as tag arrays on the destination record.

Messages

Fully supported

Messages belong to Conversations and carry content, sender_type (agent/customer), attachments, and private notes. We preserve message order by created_at timestamp. Attachments are stored as URLs and must be re-hosted or linked depending on destination storage capabilities.

Inboxes

Mapping required

Inboxes represent channels (Website Live Chat, Email, WhatsApp, Facebook, Twitter, API). Channel configuration (webhook URLs, page tokens, WhatsApp templates) does not transfer between platforms. We migrate inbox structure but channel credentials must be reconfigured at the destination.

Agents

Fully supported

Agents are user accounts tied to email, name, role, and availability status. Roles are limited on lower tiers. We map Agents to destination user accounts and preserve role assignments. Passwords cannot be exported and must be reset at the destination.

Teams

Mapping required

Teams are available only on Business and Enterprise tiers. They group agents and route conversations. If the source is on Hacker or Startups, no Teams exist to migrate. We create matching Team structures and reassign agent-team memberships at the destination.

Labels

Fully supported

Labels are string tags applied to Conversations. They are simple key-value records. We export the full label taxonomy and re-apply labels to migrated conversations. Label color and display metadata are preserved where supported by the destination.

Custom Attributes

Mapping required

Custom Attributes attach to Conversations or Contacts and can be text, number, dropdown, or checkbox. Schema must be created at the destination before import. Values are migrated as raw data; downstream automation rules referencing them must be rebuilt.

Canned Responses

Fully supported

Canned Responses are pre-written reply templates with shortcut codes. We export the full set including content and shortcut triggers. They map cleanly to most destination platforms as template or snippet objects.

Automation Rules

Mapping required

Automation Rules trigger on Events (conversation created/updated) and execute Actions (assign, label, send email). They require Business tier or higher. Rule logic is platform-specific and must be rebuilt at the destination; we export the rule definitions as documentation for manual reconstruction.

Help Center Articles

Mapping required

Help Center Articles are published knowledge base content. This feature requires Startups tier or higher. Articles have title, body (markdown), category, and locale. We export the full article tree and re-publish it, though category structure may require manual recreation depending on destination schema.

SLA Policies

Mapping required

SLA Policies define first-response and resolution time targets per priority level and are Enterprise Edition only. We export policy definitions and compliance metrics but cannot migrate the live SLA clock state. SLA alerts and business-hours configuration must be reapplied manually.

Integrations

Mapping required

Integrations include Slack, Webhooks, and third-party bots. Webhook URLs, Slack channel mappings, and bot tokens are credentials-bound and will not function at the destination. We document integration configurations so they can be re-entered manually at the destination.

Reports

Not in this platform

Reports (CSAT, conversation metrics, agent performance) are derived data calculated at query time from conversation and message records. We do not export report snapshots. The underlying Conversations and Messages are migrated so reporting can be regenerated at the destination from historical data.

Gotchas

What to watch for in Chatwoot migrations

Issues we've hit on past Chatwoot migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Hacker plan 30-day data retention permanently deletes conversations

High

Free plan limits silently block new inboxes and agents

Medium

Captain AI credits bill at $20 per 1,000 beyond the monthly allocation

Medium

Database schema inconsistencies on stable tags v4.2–v4.4

Low

Automation Rules and SLA Policies are tier-gated and cannot export from lower plans

How a Chatwoot migration works

Four steps, Chatwoot-specific

Connect

API key (personal access token) into Chatwoot. Scopes limited to read-only on the data we move.

Map

We translate Chatwoot-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Chatwoot quirks before production.

Migrate

Full migration with Chatwoot rate-limit handling. Rollback available throughout.

FAQ

Chatwoot migration FAQ

Answers to the questions buyers ask most during Chatwoot migration scoping. Not seeing yours? Book a call.

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Walk through your Chatwoot migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most Chatwoot migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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