Helpdesk migration

Migrate from LiveChat to Gorgias

Field-level mapping, validation, and rollback between LiveChat and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.

LiveChat logo

LiveChat

Source

Gorgias

Destination

Gorgias logo

Compatibility

58%

7 of 12

objects map 1:1 between LiveChat and Gorgias.

Complexity

CModerate

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

LiveChat organizes support around Chats, Agents, and Requesters; Gorgias organizes around Tickets and Customers across email, live chat, phone, and social channels. The structural shift from a real-time chat-first model to a unified ticket inbox requires reconstructing LiveChat conversation threads as Gorgias ticket messages, collapsing multi-widget custom fields into Gorgias's customer-level properties, and splitting canned responses into Gorgias macros and Automate Quick Responses. We sequence the migration in dependency order: agents first, then requesters as Gorgias customers, then chat transcripts as ticket messages with timestamps and agent attribution preserved. We do not migrate LiveChat automated rules or analytics summaries; we deliver a written inventory of active rules for your admin to rebuild in Gorgias Rules and a screenshot export of pre-migration analytics for historical reference.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

LiveChat logo

LiveChat

What's pushing teams away

  • Pricing scales per agent, and as teams grow, costs increase linearly with headcount rather than conversation volume, making it expensive for large support organizations.
  • Feature gaps compared to all-in-one platforms: no native AI phone support, limited native CRM depth, and teams that need omnichannel coverage find themselves piecing together multiple Text products.
  • Starter plan limits to one user, forcing teams to upgrade to Business immediately even for small pilot deployments, which creates friction during evaluation.
  • Notification sounds and minor UI polish items are flagged in long-term reviews as areas where the product has not kept pace with competitors.
  • Teams that scale past 50 agents report the platform becomes harder to manage without third-party tools for advanced routing and workload balancing.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How LiveChat objects map to Gorgias

Each row shows how a LiveChat object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

LiveChat

Agent

maps to

Gorgias

User

1:1
Fully supported

LiveChat Agents migrate directly to Gorgias Users. We preserve display name, email address, and role (agent vs admin). LiveChat Group or Department membership maps to Gorgias Teams, and we assign each agent to their corresponding team during import. Note: Gorgias authentication uses the user's email as the username for REST API access, so we validate email format and uniqueness during mapping. LiveChat agents must be explicitly deactivated in the LiveChat admin panel post-migration to stop billing; we coordinate this as a cutover step rather than an import action.

LiveChat

Requester

maps to

Gorgias

Customer

1:1
Fully supported

LiveChat Requesters (customers initiating conversations) map to Gorgias Customers. We preserve email, name, phone, and any requester-level custom fields. LiveChat's requester properties (created_at, last_visit, browser, location, avatar_url) map to Gorgias customer attributes including a custom_text field for session metadata. Email acts as the dedupe key during import; duplicate requesters with the same email are merged into a single Gorgias customer with conversation history consolidated.

LiveChat

Chat

maps to

Gorgias

Ticket + Message

1:many
Fully supported

LiveChat Chats map to Gorgias Tickets. The chat thread becomes ticket messages with the original timestamp, agent name, and message content preserved. Chat events (chat started, chat ended, chat transferred, chat rated) become internal ticket notes or are dropped if the destination's schema does not support them. The LiveChat chat_id is preserved in a Gorgias custom field (livechat_chat_id__c) for reconciliation. Open chats are imported as open tickets; closed chats are imported as closed tickets with their resolution timestamp.

LiveChat

Tag

maps to

Gorgias

Tag

1:1
Fully supported

LiveChat chat tags migrate to Gorgias ticket tags. We normalize character set and length (Gorgias tag limits are applied during import). Tags used for chat categorization are preserved as-is; tags that represented internal routing logic (e.g., department tags) are flagged in the migration report as candidates for Gorgias Rules to recreate routing behavior.

LiveChat

Custom Field (requester-level)

maps to

Gorgias

Customer Property

1:1
Fully supported

LiveChat requester-level custom fields (e.g., customer_tier, loyalty_level) map to Gorgias Customer Properties. We create the destination property in Gorgias (Settings > Customers > Properties) before import and map values by email match. If the same property name exists under multiple LiveChat widgets with different internal IDs, we consolidate to a single Gorgias property and log the widget source for the customer's reference.

LiveChat

Custom Field (chat-level)

maps to

Gorgias

Ticket Attribute

lossy
Fully supported

LiveChat chat-level custom fields present a schema challenge because they are widget-scoped, not global. We extract all widget-level field definitions during discovery, deduplicate by name, and create equivalent Gorgias ticket attributes. Values are mapped to tickets during import. If a ticket has no value for a given field, we leave the Gorgias attribute blank (not null-unless-required). Fields with picklist-type values in LiveChat become text-type attributes in Gorgias unless the customer's plan supports picklists.

LiveChat

Canned Response

maps to

Gorgias

Macro + Quick Response

1:many
Fully supported

LiveChat Canned Responses are workspace-level templates with {{variable}} placeholders. We split them during migration: short, universal replies (greetings, closings, standard FAQs) map to Gorgias Macros (ticket-level saved replies); snippets with conditional logic or order-specific variables map to Automate Quick Responses. Variable syntax differs between platforms: LiveChat uses {{requester.name}} while Gorgias uses {{customer.name}}; we transform variable names during the macro import. Complex conditional canned responses that use ChatBot-specific logic cannot migrate and are flagged for manual recreation in Gorgias Automate Flows.

LiveChat

Chat Rating (CSAT)

maps to

Gorgias

Ticket Satisfaction Rating

1:1
Fully supported

LiveChat Chat Ratings (1-5 stars or thumbs up/down) are attached to individual chats. Gorgias supports a satisfaction rating on tickets. We map star ratings to the Gorgias satisfaction score (1-5 integer). Thumbs-based ratings are converted to 5 (thumbs up) or 1 (thumbs down). If a chat has no rating, no satisfaction record is created in Gorgias. Rating timestamps and agent attribution are preserved in a custom ticket note for audit.

LiveChat

Knowledge Base (Help Center)

maps to

Gorgias

Help Center Article

1:1
Fully supported

LiveChat Help Center articles (titles, body HTML, slugs, categories) map to Gorgias Help Center articles. We preserve article body HTML, restructure nested category hierarchy to Gorgias's flat section-article model, and map slugs to article URLs. Complex nesting beyond Gorgias's two-level structure (section > article) requires flattening and is documented in the migration report. Article publication status migrates as-is; draft articles are imported as drafts in Gorgias.

LiveChat

Group / Department

maps to

Gorgias

Team

1:1
Fully supported

LiveChat Groups or Departments (which assign agents to functional teams) map to Gorgias Teams. We create Teams in Gorgias during setup, assign the migrated agents to their corresponding team, and map any LiveChat group-level routing rules to Gorgias Rules that trigger on ticket channel or tag conditions.

LiveChat

Automated Rule

maps to

Gorgias

Rule (documented only)

lossy
Fully supported

LiveChat Automated Rules trigger on chat events (e.g., new chat, visitor returns, tag applied). Gorgias Rules trigger on ticket conditions (e.g., channel, tag, customer property). We do not migrate rules as code because the trigger models differ. We document every active LiveChat rule in a written inventory with its trigger, conditions, and actions, plus a recommended Gorgias Rule equivalent for the customer's admin to rebuild post-migration.

LiveChat

Report / Analytics

maps to

Gorgias

None (screenshot export)

lossy
Fully supported

LiveChat analytics (CSAT trends, response time, agent performance, chat volume by channel) are computed summaries with no raw event log export. We do not migrate analytics data. We recommend exporting PNG screenshots or PDF reports of the key dashboards before migration for historical reference. Post-migration, Gorgias's own analytics and Automate Statistics dashboards provide fresh data from the day of cutover.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

LiveChat logo

LiveChat gotchas

High

Chats Exporter app required for bulk export

High

Seat-based billing creates migration cost surprises

Medium

API rate limits throttle large migrations

Medium

Custom field schema is per-widget, not global

Low

Ongoing chats auto-close on reconnect failure

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Chat threads reconstruct as ticket messages, not live chat

    Gorgias does not have a live chat conversation model equivalent to LiveChat's real-time thread. All migrated chats become closed tickets with messages in reverse-chronological order (latest message last), matching Gorgias's standard ticket UI. Agents who rely on LiveChat's typing preview, visitor context panel, and real-time queue view will use a different workflow in Gorgias. We flag open chats that are mid-conversation at migration time; these should be closed in LiveChat or handed off manually before the export window to avoid orphaned messages.

  • Per-widget custom fields require deduplication

    LiveChat custom fields are scoped per chat widget, not globally at the account. A customer using three chat widgets may have the same custom field name (e.g., customer_tier) with three different internal IDs. When we export from multiple widgets and import into Gorgias's global customer property schema, we deduplicate by field name and log the source widget for each value. If a customer has different values for the same field across different widgets, we keep the most recently updated value and note the discrepancy in the reconciliation report.

  • Canned responses use different variable syntax

    LiveChat canned responses use {{requester.name}}, {{agent.name}}, {{chat.id}} variable syntax. Gorgias macros use {{customer.name}}, {{ticket.agent.name}}, {{ticket.id}}. We transform variable placeholders during the macro import, but conditional logic (IF/THEN branches in LiveChat's canned response editor) has no equivalent in Gorgias Macros and must be rebuilt as Automate Flows by the customer's admin. Complex multi-step canned responses with branching are flagged in the migration report as Automate Flow candidates.

  • Gorgias API rate limits enforce 40-80 req/20s

    Gorgias enforces tiered API rate limits (40-80 requests per 20 seconds using a leaky bucket algorithm) that throttle bulk imports if not handled. We implement exponential backoff and chunked batch inserts when writing tickets and customers to Gorgias. Accounts with over 10,000 tickets require date-windowed batch processing to avoid 429 responses. We validate the Gorgias API credentials (email + API key under Account > REST API) during discovery and recommend provisioning a dedicated migration API key to isolate the migration load from production integrations.

  • Analytics cannot be migrated only screenshotted

    LiveChat's reporting data (CSAT averages, average response time, agent handle time, chat volume by channel) are computed platform summaries, not raw records. There is no export endpoint for analytics data. We cannot migrate historical analytics into Gorgias because Gorgias's analytics begin from the day of account activation. We recommend exporting PNG screenshots or PDF reports from LiveChat's Analytics dashboard before migration as a historical record. The migration deliverable includes a pre-migration screenshot checklist to hand to the customer.

Migration approach

Six steps for a successful LiveChat to Gorgias data migration

  1. Discovery and credential setup

    We audit the LiveChat account: agent count, group/department structure, widget count, per-widget custom field definitions, canned response count and complexity, active automated rules, chat volume by date range, and knowledge base article count. We simultaneously validate Gorgias API credentials (REST API access under Account > REST API in Gorgias settings) and confirm the destination plan's conversation volume tier. We provide a LiveChat pre-migration screenshot checklist for analytics and recommend running the Chats Exporter app ($7) once to validate the export payload structure before we begin automated extraction.

  2. Schema design and property creation

    We design the Gorgias schema before any data import. This includes creating Customer Properties for each deduplicated LiveChat requester-level custom field, creating Ticket Attributes for each deduplicated chat-level custom field, creating Teams from LiveChat Groups, and configuring the Help Center structure to receive migrated articles. We create a livechat_chat_id__c custom field on tickets to preserve the source LiveChat chat_id for reconciliation. All schema changes are made in the customer's live Gorgias account during a pre-cutover setup window to avoid blocking production use.

  3. Export extraction with date-windowed batching

    We extract LiveChat data using the Chats Exporter app output (JSON or CSV) for accounts without API access, or via the LiveChat REST API for accounts with Business or Enterprise plans. We split large accounts (over 50,000 chats) into date-windowed batches to respect LiveChat's undocumented API rate limits. We implement exponential backoff and chunked retrieval for API-mode exports. The export includes: agents, requesters, chats with full message threads, tags, chat ratings, canned responses, and Help Center articles. Custom fields are extracted per-widget and cross-referenced by name for deduplication.

  4. Transformation and dependency-ordered import

    We transform the export payload into Gorgias API-compatible format: agents to Users (1:1), requesters to Customers (1:1 with email dedupe), chats to Tickets plus Messages (1:N), canned responses to Macros and Quick Responses (with variable syntax transformed), tags to Tags, and Help Center articles to Articles. We run the import in dependency order: Users first (required for ticket assignment), Customers second (required for ticket customer_id), then Tickets with message history, then tags, then macros. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Canned response and automation inventory

    We compile a written inventory of every LiveChat canned response (grouped by folder, with variable count and conditional logic flagged) and every active automated rule (with trigger, conditions, and actions documented). This inventory is delivered as a spreadsheet alongside the migration. The customer's admin uses it to rebuild canned responses as Gorgias Macros and Quick Responses, and to rebuild automated rules as Gorgias Rules or Automate Flows. We do not rebuild these as part of the migration scope.

  6. Cutover, agent deactivation, and validation

    We schedule the migration cutover outside LiveChat business hours to avoid active chat interference. LiveChat agents are set to Away status before migration to prevent mid-migration chat events. We run a final delta migration of any chats created during the migration window, then freeze LiveChat-side writes. The customer deactivates all agents in the LiveChat admin panel to stop billing. We run a post-migration validation: ticket count reconciliation, customer count reconciliation, spot-checking of 25-50 chat transcripts against source records, and macro count verification. We deliver the analytics screenshot checklist and the automation rebuild inventory. We support a 48-hour hypercare window for reconciliation issues raised during live use.

Platform deep dives

Context on both ends of the pair

LiveChat logo

LiveChat

Source

Strengths

  • Real-time typing preview and visitor context give agents a head start on responses without additional back-and-forth.
  • Seat-based pricing is predictable and transparent, with no hidden conversation caps on paid tiers.
  • API supports programmatic chat export, allowing migration tooling to pull historical transcripts and requester data reliably.
  • 14-day free trial with no credit card removes purchase friction for new teams evaluating the platform.

Weaknesses

  • AI features and advanced automation are gated behind higher tiers, limiting what small teams can test on lower plans.
  • No native bulk-export UI in the product itself; teams rely on the $7 Chats Exporter app or API scripting to extract historical data.
  • Integrations must be reconfigured manually at the destination; there is no importable integration backup or migration package.
  • Knowledge base and chatbot flows exist in separate products (KnowledgeBase and ChatBot), making a full support-stack migration more complex than a single-object export.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across LiveChat and Gorgias.

  • Object compatibility

    C

    4 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    LiveChat: Configuration API: 1,000 requests per 10-minute window per license (shared across all tokens and integrations on that license), with X-RateLimit-Remaining and Retry-After headers for backoff. Chat API (Zendesk-aligned heritage): 200 requests per minute per endpoint..

  • Data volume sensitivity

    B

    LiveChat doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your LiveChat to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about LiveChat to Gorgias data migrations

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

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Accounts under 5,000 chats with a single widget and no multi-widget custom field deduplication complete in one to two weeks. Accounts with multiple widgets, per-widget custom fields requiring consolidation, multi-year chat history exceeding 50,000 conversations, or knowledge base article inclusion move to three to five weeks because of date-windowed export stitching, field-ID deduplication, and KB restructuring. The Gorgias onboarding team states that migrations from Zendesk and Gmail take under a week with their native tools; a LiveChat migration requires custom extraction tooling and typically runs longer because there is no native LiveChat-to-Gorgias connector.

Adjacent paths

Related migrations to explore

Ready when you are

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