Helpdesk migration

Migrate from Front to Gorgias

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

Front logo

Front

Source

Gorgias

Destination

Gorgias logo

Compatibility

79%

11 of 14

objects map 1:1 between Front and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Switching from Front to Gorgias is a migration from a shared-inbox collaboration model to a ticket-centric helpdesk built for e-commerce. Front's Conversations (threaded by nature across channels) map to Gorgias Tickets, Front Contacts map to Gorgias Customers, Front Inboxes map to Gorgias Views, and Front Tags map directly to Gorgias Tags. The primary structural change is moving from Front's collaborative message-segment model (where teammates reply within a shared thread) to Gorgias's per-ticket assignment model where a single agent owns resolution. We preserve channel attribution (email, chat, SMS, social) on every ticket so your team knows the origin without re-reading the thread. Automations, Rules, and Workflows do not migrate; we deliver a written spec for manual rebuild in Gorgias.

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

Front logo

Front

What's pushing teams away

  • Threaded email view in Front differs from traditional ticket queues, confusing users who expect one-ticket-per-issue workflows common in pure helpdesk tools.
  • Mobile app lacks feature parity with desktop, leaving field teams unable to manage assignments, rules, or advanced views on the go.
  • AI features (Copilot, Smart QA, Smart CSAT) are paid add-ons not included in base tiers, creating sticker shock when teams realize the full cost to enable automation.
  • Starter plan's single-channel limitation forces teams to choose email OR chat, not both, pushing many to upgrade just to cover their actual communication mix.
  • Limited advanced reporting compared to dedicated analytics platforms; teams needing SLA dashboards or custom metrics find Front's built-in reports insufficient.

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 Front objects map to Gorgias

Each row shows how a Front 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.

Front

Conversation

maps to

Gorgias

Ticket

1:1
Fully supported

Front Conversations map to Gorgias Tickets on a one-to-one basis. The conversation subject becomes the ticket subject, conversation status (open, snoozed, archived) maps to Gorgias ticket status values, and channel attribution (email, chat, SMS, social) is preserved as a ticket channel field. All message segments within the Front conversation are flattened into the Gorgias ticket message thread in chronological order with author attribution preserved. The Front conversation ID is stored as an external_id field on the Gorgias ticket for audit trail.

Front

Contact

maps to

Gorgias

Customer

1:1
Fully supported

Front Contacts map to Gorgias Customers using email as the dedupe key. Name, email address, phone number, company, language, timezone, and external identifiers (Facebook handle, Twitter handle, phone number across channels) migrate as standard and custom Customer fields. If a Front Contact has no email address, we use the contact handle as a fallback identifier and flag it for manual review in Gorgias.

Front

Message Segment

maps to

Gorgias

Message

1:1
Fully supported

Each Front message segment (a distinct reply or received message within a conversation) becomes a Gorgias Message record attached to the parent Ticket. We preserve the author (agent or customer), the timestamp, the channel source (email, chat, SMS), and the message body. Attachments within message segments migrate as Ticket Attachments linked to the parent Message. Internal notes in Front (visible to teammates only) migrate as internal Gorgias Notes on the ticket.

Front

Inbox

maps to

Gorgias

View

1:many
Fully supported

Front Inboxes (which define channel routing and teammate access) map to Gorgias Views, which are saved filter configurations. A single Front Inbox with multiple channels can generate multiple Gorgias Views (one per channel) if the customer's team structure separates channel handling. We create Views for each active Front Inbox and apply the inbox's teammate permissions as Gorgias User access to the corresponding View. Complex permission inheritance across nested Inboxes requires a pre-migration review of the access matrix.

Front

Teammate

maps to

Gorgias

User

1:1
Fully supported

Front Teammates export by email address and match to Gorgias Users by email. Name, email, and active/inactive status migrate. Front role names (Admin, Member, Guest) map to Gorgias User roles (Admin, Agent, Admin). If a Front Teammate has been deactivated but has assigned conversations, we reassign those conversations to the matched active Gorgias User or a default agent specified during scoping.

Front

Channel

maps to

Gorgias

Channel

1:1
Fully supported

Front Channels (email, chat, SMS, social including Facebook and Instagram) map directly to Gorgias channel types. Channel attribution is preserved at the ticket level so agents can filter or route by channel source in Gorgias. Starter-plan Front accounts that used only one channel will have fewer channel types to map; we confirm the full channel history during discovery to avoid missing historical channel data.

Front

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Front Tags (applied at conversation level) map to Gorgias Tags as flat string labels. Tag hierarchy and tag-group organization in Front do not carry over as structural relationships in Gorgias; all tags flatten to a single namespace. If the customer's tagging taxonomy relies on hierarchical tag groups (for example, Region > Team > Priority), we recommend a post-migration tagging strategy review to determine whether Gorgias's label system or a custom field taxonomy better serves the use case.

Front

Custom Fields (Conversation)

maps to

Gorgias

Custom Fields (Ticket)

1:1
Fully supported

Front custom fields on Conversations (text, number, date, dropdown, boolean) map to Gorgias Ticket custom fields. We create the corresponding custom field in Gorgias with the matching data type before migration. Dropdown fields in Front map to Gorgias dropdown (select) fields with the same option values. Boolean fields migrate directly. If a Front dropdown has an option value not defined in Gorgias, we flag it for pre-migration option creation. Truncation may occur if Gorgias has a character limit lower than Front's field definition.

Front

Custom Fields (Contact)

maps to

Gorgias

Custom Fields (Customer)

1:1
Fully supported

Front Contact custom properties (company, priority, arrival date, and other structured data) map to Gorgias Customer custom fields using the same type-matching logic as ticket custom fields. We compare the Front field definition against Gorgias's supported custom field types (string, number, date, boolean, select) and surface any incompatible mappings before migration. Contact handles from social channels (Twitter, Facebook) that have no email equivalent migrate as external_id fields.

Front

Company

maps to

Gorgias

Customer (organization)

1:1
Fully supported

Front Companies linked to Contacts map to Gorgias Customer organization records. The company name, domain, and custom company fields migrate. In Gorgias, the organization sits on the Customer record; there is no separate Company object, so company-level metadata becomes fields on the primary Customer record associated with that organization.

Front

Analytics / CSV Exports

maps to

Gorgias

Reports

1:1
Fully supported

Front Analytics CSV exports (Messages export, Full events export) contain timestamps in the requesting user's timezone, which may shift reported times if the requesting admin account is in a different timezone than the agents who created conversations. We document the timezone of the export requestor during discovery and apply corrections during import validation. Custom report configurations in Front (saved report views, dashboard layouts) do not migrate; we recommend rebuilding key reports in Gorgias's reporting module post-migration.

Front

Note (internal)

maps to

Gorgias

Internal Note

1:1
Fully supported

Internal notes attached to Front Conversations migrate as Gorgias internal Notes on the corresponding Ticket. Internal notes differ from customer-visible Messages in that they are private to agents and do not trigger customer notifications. We preserve the note text, author, and timestamp. If the note references other Front records (linked conversations, external URLs), we include the reference text but acknowledge that cross-record linking requires manual recreation in Gorgias.

Front

Automation Rules

maps to

Gorgias

N/A (manual rebuild required)

lossy
Mapping required

Front Automation Rules (event-condition-action triggers) do not export structurally and cannot be imported into Gorgias as automation code. We document every active Rule during discovery with its trigger conditions, conditions, delay steps, and actions, producing a written specification for the customer's admin to rebuild in Gorgias's rule system. The rebuild effort is scoped separately from the data migration.

Front

Workflows

maps to

Gorgias

N/A (manual rebuild required)

lossy
Mapping required

Front Workflows are multi-step process automations distinct from simple Rules. They contain branching conditions, time delays, and multi-action sequences that have no structural equivalent in Gorgias. We export Workflow definitions as written documentation (JSON export where available, screen-by-screen description otherwise) and deliver a handoff spec so the customer's admin or a Gorgias implementation partner rebuilds the workflow logic post-migration. Workflow rebuild is out of scope for the standard data migration engagement.

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.

Front logo

Front gotchas

High

API rate limits vary sharply by plan tier

High

Automation Rules and Workflows do not export structurally

Medium

Starter plan single-channel lockout limits migration scope

Medium

Analytics CSV timestamps use requesting user's timezone

Medium

Custom field types require destination-compatible data mapping

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

  • Front Inboxes do not map 1:1 to Gorgias Views

    Front Inboxes define both channel routing and teammate access permissions. A single Front Inbox may aggregate email and chat channels with different team members having different access levels. Gorgias Views are saved filter configurations that do not enforce permissions independently. We map Inboxes to Views and document the access matrix for the customer's admin to configure Gorgias User roles and team assignments accordingly. Complex nested inbox permission structures may require splitting into multiple Views or additional User provisioning during setup.

  • Front message segments flatten into a single ticket thread

    Front's collaborative reply model allows multiple teammates to add segments to a single conversation without claiming ownership. Gorgias uses ticket-level assignment where one agent is the primary owner. When migrating, we flatten all message segments into a single thread and set the most recent assignee (or a default assignee) as the ticket owner in Gorgias. Teams that relied on Front's shared-inbox model where nobody explicitly owns the ticket may find Gorgias's assignment model a cultural shift requiring agent training.

  • Front Starter plan single-channel lockout may have truncated channel history

    If the customer's Front account was on the Starter plan during the period when they used multiple channels informally, some channel history may not have been captured in Front's database. We confirm the plan tier history during discovery and flag any gaps in channel coverage before migration begins. Historical data that was never captured in Front cannot be recovered and will not appear in Gorgias.

  • Analytics CSV timestamps use the requesting admin's timezone

    Front's Analytics CSV exports format all timestamps as YYYY-MM-DD HH:mm:ss in the timezone of the user who requested the export. If the migration runs under an admin account whose timezone differs from teammates who created conversations, historical timestamps may appear shifted relative to the original activity time. We document the export requestor's timezone and apply corrections during import validation to avoid date-time misalignment in Gorgias reporting.

  • Front custom field types require destination-compatible mapping

    Front supports multiple custom field data types including text, number, date, dropdown, and boolean on both Conversations and Contacts. When the destination platform uses different field types or has character limits, we map the data accordingly but note that truncation, type coercion, or loss of structure can occur. We surface custom field mapping as a pre-migration review step and provide a field-level comparison before committing to the import. In particular, Gorgias dropdown fields require all option values to be pre-created before import; missing options will cause import rejection for affected records.

Migration approach

Six steps for a successful Front to Gorgias data migration

  1. Discovery and data audit

    We audit the source Front account across plan tier (Starter, Professional, Enterprise), active Inboxes, channel coverage, teammate list, tag taxonomy, custom field definitions on Conversations and Contacts, and conversation volume by date range. We run a discovery export to establish baseline record counts for Contacts, Companies, Conversations, message segments, and attachments. The discovery output is a written migration scope document including the Inbox-to-Views mapping plan, the tag flattening strategy, and any custom field incompatibilities to resolve before migration.

  2. Gorgias account provisioning and schema setup

    We create the custom fields in Gorgias (Ticket custom fields and Customer custom fields) matching the Front field definitions by name and data type. We create the Views corresponding to each Front Inbox and apply the channel filter per View. We provision Gorgias Users by matching Front Teammates by email and set roles (Admin or Agent) based on Front role assignments. If the customer has requested knowledge base migration, we create the knowledge base structure in Gorgias and import articles with their published status.

  3. Sandbox migration and reconciliation

    We run a full migration into a Gorgias sandbox or a staging environment using production-like data volume. The customer's support operations lead reconciles record counts (Tickets in, Customers in, Attachments in, Tags applied), spot-checks 25-50 random tickets against the Front source, and validates that channel attribution, assignee, and message thread order are correct. Any mapping corrections, custom field adjustments, or View filter refinements happen here before production migration begins.

  4. Attachment and knowledge base pre-processing

    We extract all attachments from Front conversations and message segments and stage them for upload to Gorgias. Attachments are matched to parent Tickets by conversation ID and uploaded via the Gorgias API. If the customer's knowledge base in Front has article hierarchy (categories and subcategories), we pre-process the structure to fit Gorgias's single-folder hierarchy and flag any articles that will lose structural context in transit.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Customers (from Front Contacts and Companies, with organization field resolved), Users (validated against pre-provisioned list), Tickets (with conversation subject, status, assignee, channel, and external_id populated), Messages (with author, timestamp, and body flattened from Front segments), Internal Notes, Tags (applied after ticket creation), and Attachments (uploaded after ticket creation with parent reference). We run a row-count reconciliation report after each phase before proceeding.

  6. Cutover, delta sync, and Automation handoff

    We freeze Front writes during cutover, run a final delta migration of any conversations created or modified during the migration window, then switch the team to Gorgias as the system of record. We deliver the Automation Rules and Workflows inventory document to the customer's admin team with a written spec for each rule and workflow requiring manual rebuild. We support a one-week post-cutover window where we resolve any ticket attribution, thread ordering, or attachment linkage issues raised by the team. We do not rebuild Front Rules or Workflows as Gorgias automations inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Front logo

Front

Source

Strengths

  • Unified inbox consolidates email, chat, SMS, and social channels into a single collaborative view for each team member.
  • API supports export of conversations, contacts, agents, tags, notes, and analytics via CSV or direct integration.
  • Custom fields on application objects allow structured data annotation without platform-wide schema changes.
  • Per-conversation attribution preserves the full thread history and channel source across migrations.
  • Shared inbox model reduces email forwarding and keeps conversation context intact for team collaboration.

Weaknesses

  • Automation Rules and Workflows require manual reimplementation in destination systems — conditional logic does not port automatically.
  • Starter plan API rate limit of 50 rpm throttles large migrations; bulk exports require pacing or plan upgrades.
  • Threaded conversation model differs from traditional ticket-per-issue systems, creating a conceptual mismatch during migration.
  • Knowledge base article metadata, category hierarchy, and translated versions require careful mapping and may lose structure in transit.
  • AI features are paid add-ons that are not included in base plans, and per-seat pricing can double when Copilot or Smart QA are enabled.
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. 3 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 Front and Gorgias.

  • Object compatibility

    C

    3 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

    Front: 50 rpm (Starter), 100 rpm (Professional), 200 rpm (Enterprise) — enforced per company, not per token. Partner integrations via OAuth get 120 rpm separate allocation. Burst limit: 5 requests/second per resource type..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Front 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 Front to Gorgias data migrations

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

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Most migrations land between two and four weeks for accounts under 50,000 conversations and 10,000 contacts with a straightforward Inbox-to-Views mapping. Migrations with large attachment volumes, knowledge base article migration, complex custom field schemas, or teams that require a delta-sync window (continuing to receive messages in Front during migration) move to six to ten weeks. The knowledge base migration step adds the most time because article hierarchy must be manually restructured to fit Gorgias's single-folder model.

Adjacent paths

Related migrations to explore

Ready when you are

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