Helpdesk migration

Migrate from Gmelius to Gorgias

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

Gmelius logo

Gmelius

Source

Gorgias

Destination

Gorgias logo

Compatibility

58%

7 of 12

objects map 1:1 between Gmelius and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Gmelius to Gorgias means leaving a Gmail-embedded collaboration layer for a purpose-built ecommerce helpdesk. Gmelius operates as an extension on top of Gmail, storing shared inboxes, labels, and conversations in Google Workspace rather than as independent records; Gorgias expects formal Tickets, Customers, and Macros in a standalone database. We resolve this structural gap by exporting via the Gmail API and Google Contacts API, then transforming every email thread into a Gorgias ticket with a linked customer record. Shared Labels become Tags, Email Templates become Macros, and SLA configurations transfer as custom metadata. Automation Rules and Kanban board configurations do not migrate as code; we screen-record the live rules UI during discovery and deliver a written reconstruction guide for Gorgias Rules and Views. Teams switching from Gmelius's per-user model to Gorgias's per-ticket model must validate volume assumptions before cutover to avoid billing surprises on low-volume plans.

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

Gmelius logo

Gmelius

What's pushing teams away

  • Slow email loading times (6+ mentions on G2) damage productivity for high-volume support teams who need sub-second response, pushing them toward dedicated helpdesk platforms.
  • Gmail-only constraint eliminates teams using Outlook or mixed email environments, forcing an either/or decision that enterprise IT departments often cannot make.
  • Steep learning curve for Automation Rules and Kanban boards means new team members require guided onboarding before they can operate independently.
  • No public API documentation on lower tiers and limited mobile app functionality frustrates technical teams needing programmatic access or mobile support workflows.
  • Extension conflicts with other Gmail add-ons (documented in Gmelius own help center) cause UI glitches that require disabling competing extensions.

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 Gmelius objects map to Gorgias

Each row shows how a Gmelius 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.

Gmelius

Shared Inbox

maps to

Gorgias

Channel

lossy
Fully supported

Gmelius Shared Inboxes are workspaces inside Gmail that aggregate email threads from specific addresses (support@, sales@, billing@). We map each Shared Inbox to a Gorgias Channel configured with the same email address. Channel metadata (display name, incoming email address, team assignment) is replicated during setup. Teams with multiple Shared Inboxes (support@, sales@, general@) map to multiple Gorgias channels in a 1:1 relationship.

Gmelius

Email Conversation (thread)

maps to

Gorgias

Ticket

1:many
Fully supported

Each Gmelius conversation thread maps to a single Gorgias Ticket. We export the full thread via the Gmail API, extracting message bodies, timestamps, sender addresses, and attachment references. In Gorgias, the first message becomes the Ticket body and subsequent messages appear as ticket events in chronological order. External customer emails are linked to a Gorgias Customer record created from the sender's email address. Internal Gmelius notes (@mentions) become internal ticket comments in Gorgias visible only to agents.

Gmelius

Contact (via Google Contacts API)

maps to

Gorgias

Customer

1:1
Fully supported

Gmelius does not maintain a standalone contact database; contacts live in Google Contacts. We export via Google Contacts API, extracting name, email address, phone number, company association, and any Gmelius-specific tags applied to conversations with that contact. Each contact becomes a Gorgias Customer record. Email address is the dedupe key: if a Customer with the same email already exists in Gorgias, we merge rather than duplicate. Custom fields on the Gmelius contact (if stored as Google Contact fields) migrate to Gorgias custom fields on the Customer object.

Gmelius

Shared Label

maps to

Gorgias

Tag

1:1
Fully supported

Gmail labels used by Gmelius for conversation categorization (e.g., urgent, billing, escalated) are exported via the Gmail API and recreated as Gorgias Tags. Label-to-conversation associations are preserved as Tag assignments on the migrated Ticket. We deduplicate label names during extraction: if the same label name appears across multiple Shared Inboxes, we create a single tag in Gorgias and assign it to all relevant tickets.

Gmelius

Email Template

maps to

Gorgias

Macro

1:1
Fully supported

Gmelius shared email templates with variable placeholders (merge fields) map to Gorgias Macros. We export the full template library including subject line, body HTML/text, and merge field syntax, then recreate as Gorgias Macros with the same variable syntax converted to Gorgias's supported format. Template folders map to Macro categories if the customer's Gorgias plan supports categorization.

Gmelius

Shared Draft

maps to

Gorgias

Macro

1:many
Fully supported

Gmelius shared drafts are collaborative email drafts that exist in draft state within a Shared Inbox. Gorgias does not have a separate draft object. We export shared drafts as Gorgias Macros (saved responses) rather than live drafts, preserving the text and variable placeholders. The customer's admin can use Macros to recreate the same draft-to-send workflow in Gorgias.

Gmelius

User / Team Member

maps to

Gorgias

Agent

1:1
Fully supported

Gmelius users correspond to Google Workspace accounts. We export the user list (display name, email address, role) and map them to Gorgias Agents. Gmelius role levels (member, admin) map to Gorgias Agent permission levels. If a Gmelius user has been deactivated but still has assigned conversations, we map those to a designated fallback agent in Gorgias to avoid orphaned tickets.

Gmelius

Automation Rule

maps to

Gorgias

Rule (rebuild as documented handoff)

lossy
Fully supported

Gmelius Automation Rules (conditional routing, auto-assignment, SLA timers, follow-up sequences) are stored as extension-local state with no export mechanism. We capture the active rules configuration during a live discovery walkthrough, screen-recording each rule's trigger, conditions, and actions. We deliver a written inventory of every active rule with a Gorgias Rule equivalent specification for the customer's admin to rebuild in Gorgias Rules. Multi-step rules with AI dispatching (Pro tier) require the most manual reconstruction effort.

Gmelius

Kanban Board

maps to

Gorgias

Views

lossy
Mapping required

Gmelius Kanban boards visualize email pipelines by status columns (e.g., Open, In Progress, Resolved). We map board column names to Gorgias Views with matching filters. Card-to-conversation associations are preserved during migration so that the ticket retains its column history. Custom board layouts with multiple columns per board require the customer's admin to configure equivalent Views in Gorgias, as Gorgias's view model is filter-based rather than board-based.

Gmelius

SLA Configuration

maps to

Gorgias

SLA (metadata on Ticket)

1:1
Fully supported

SLA rules in Gmelius (first response time, next response time, resolution time by priority) are tier-gated (Growth and Pro plans). We export SLA metadata as custom fields on each migrated Ticket: sla_first_response_due__c, sla_resolution_due__c, sla_status__c. The customer's admin configures the active SLA policy in Gorgias for new tickets going forward. Historical SLA compliance data is preserved as field values but not enforced by Gorgias on imported tickets.

Gmelius

Email Analytics

maps to

Gorgias

Reports (rebuild required)

1:1
Fully supported

Gmelius Email Analytics dashboards (thread volume, response times, SLA compliance, team performance) are tier-gated and do not export as data. We extract the underlying metrics (conversation count, thread timestamps, assignee, tag distribution) during migration so the customer's admin can rebuild Gorgias Reports from the imported ticket data. Historical dashboards are not replicated in Gorgias; the analytics timeline restarts at cutover.

Gmelius

Email Note / @mention

maps to

Gorgias

Internal Ticket Comment

1:1
Fully supported

Gmelius email notes and @mentions inside threads are internal collaboration annotations. We export them as Gorgias internal comments on the relevant Ticket, preserving the note text, timestamp, and author (mapped via Google Workspace email to Gorgias Agent). Internal comments in Gorgias are visible only to agents, matching the privacy intent of Gmelius notes.

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.

Gmelius logo

Gmelius gotchas

High

Gmail-only lock-in is irreversible for mixed email environments

High

No formal public API on lower tiers limits programmatic data export

Medium

Automation Rules are extension-local state with no export mechanism

Medium

All team members must share the same plan tier

Low

Extension conflicts with other Gmail add-ons cause UI instability

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

  • No public Gmelius API requires Gmail API extraction

    Gmelius does not expose a documented REST API on the Meli or Growth tiers; API access is listed as a Growth feature but without public endpoint documentation. We extract data via the Gmail API (thread list, message content, attachments, labels) and Google Contacts API (contact records) as the only available surface. This approach requires the customer's Google Workspace admin to grant Gmail API read permissions to the migration service account. Rate limits on the Gmail API (250 requests per second per user) can extend extraction timelines for high-volume inboxes. We scope API feasibility during discovery and flag any Google Workspace admin permission requirements before extraction begins.

  • Email threads map to individual tickets, not conversation objects

    Gmelius organizes support around Shared Inboxes containing threaded email conversations; there is no formal ticket ID system. Gorgias requires individual Tickets with unique IDs, channel assignments, and status values. We split every Gmelius email thread into one Gorgias Ticket. The ticket subject defaults to the email subject line; if multiple threads share the same subject (reply chains), they generate separate tickets with separate IDs. Teams expecting a single ticket per customer issue rather than one per email thread should adjust their Gorgias workflow expectations during migration planning.

  • Automation Rules and Kanban boards do not migrate as code

    Gmelius Automation Rules (routing, auto-assignment, SLA triggers, follow-up sequences) are stored as extension-local configuration with no documented export mechanism. Kanban board column definitions and card-pipeline associations are similarly Gmelius-local. We cannot migrate them as executable code. We screen-record the live Gmelius UI during discovery and deliver a written reconstruction guide for Gorgias Rules and Views. Complex multi-step rules with AI dispatching (Pro tier) require the most manual reconstruction effort. The customer's admin rebuilds these post-migration.

  • Gorgias per-ticket pricing model can surprise teams switching from per-user pricing

    Gmelius charges per user with no per-conversation fees, making cost predictable for growing teams regardless of ticket volume. Gorgias charges per ticket, and overage fees ($0.36-$0.40 per ticket) apply when monthly ticket volume exceeds the plan limit. Teams migrating from Gmelius should audit their average monthly conversation volume before selecting a Gorgias plan. A team that averages 2,100 tickets per month on Gmelius Growth at $25/user would spend $180/month on Gmelius but $408/month on Gorgias Basic ($60 + 100 overage tickets at $0.36) before AI Agent add-ons. We validate volume assumptions during scoping and flag plan mismatch risks before cutover.

  • Gorgias knowledge base migration requires manual article recreation

    Gmelius does not include a knowledge base, so there is no source knowledge base to migrate. However, if the customer's post-migration team plans to create knowledge base articles in Gorgias based on Gmelius template content or FAQ-style email templates, those templates must be manually adapted into Gorgias article format. Gorgias's knowledge base uses a one-folder hierarchy (Basic and above) versus the more flexible multi-level structures in competing helpdesks. We document any template-to-article conversion requirements during scoping so the customer's admin can plan the knowledge base build as a parallel workstream.

Migration approach

Six steps for a successful Gmelius to Gorgias data migration

  1. Discovery and data audit

    We audit the source Gmelius account across all Shared Inboxes, conversation volume (thread count, message count, date range), label taxonomy, email template library, user list with roles, SLA configurations (Growth and Pro tiers), and Kanban board structure. We extract Google Workspace API scopes and permissions required for Gmail API access and confirm these with the customer's Google Workspace admin. We validate that the destination Gorgias account is provisioned and note the plan tier to confirm which features are available (Basic required for knowledge base, Advanced for custom domains and priority support). The discovery output is a written migration scope document listing all objects to migrate, their record counts, and any pre-migration configuration needed in Gorgias.

  2. Google Workspace API extraction

    We connect to the customer's Google Workspace environment using a service account with Gmail API read scope and Google Contacts API read scope. We extract conversation threads in chronological order, preserving message bodies, timestamps, sender addresses, CC/BCC fields, attachment references (not the attachments themselves, which remain in Google Drive or Gmail), label associations, and assignee metadata. Gmail API pagination handles high-volume inboxes with rate-limit handling at 250 requests per second per user. Contacts export via Google Contacts API deduplicates by email address. This step produces a structured JSON export of conversations, contacts, labels, templates, and user data ready for transformation.

  3. Schema mapping and Gorgias pre-configuration

    We configure the destination Gorgias account before any data loads. This includes creating Channels matching each Gmelius Shared Inbox with the corresponding email address, defining Tags matching the Gmelius label taxonomy, creating Macros from the Gmelius email template library (with variable placeholder syntax converted to Gorgias format), provisioning Gorgias Agents mapped from Gmelius users with matching roles, and creating any custom Customer fields needed for SLA metadata. We set the default ticket status, priority, and channel values to match Gmelius conventions where possible. Gorgias API credentials are obtained from the customer's account for the migration write step.

  4. Transformation and customer deduplication

    We transform the Gmail API export into Gorgias API payload format. Email threads become Tickets with the first message as the ticket body and subsequent messages as events. We resolve sender email addresses to Gorgias Customer records, creating new Customers for unknown addresses and merging duplicates for addresses already in Gorgias. Label associations become Tag assignments on each Ticket. SLA metadata (first response due, resolution due) is written to custom Ticket fields. This step generates a transformation manifest showing source-thread-to-destination-ticket mappings for the customer's reconciliation review.

  5. Gorgias API import with rate-limit handling

    We load transformed data into Gorgias via the REST API (developers.gorgias.com) using batch operations with exponential backoff on rate-limit responses (429 status codes). Agents, Customers, and Tickets are loaded in dependency order: Agents first (no dependencies), then Customers (no dependencies), then Tickets (requires Customer references). Tags are assigned after Ticket creation using Ticket update calls. We chunk batches at 100 records per request to stay within Gorgias API limits. Each batch emits a write-count and error-count report; we retry failed records up to three times with backoff before flagging for manual resolution.

  6. Automation and Kanban reconstruction handoff

    We deliver the documented handoff package containing the screen recordings of Gmelius Automation Rules (trigger, conditions, actions for each rule), the Kanban board column-to-View mapping, the Gorgias Rule equivalent specification, and the SLA policy configuration written as Gorgias rule definitions. The customer's admin rebuilds these in Gorgias Rules and Views post-migration. We do not execute rule recreation as part of the migration scope. We support a one-week hypercare window for data reconciliation issues discovered after cutover, including mis-mapped customers, missing tags, or tickets assigned to incorrect agents.

Platform deep dives

Context on both ends of the pair

Gmelius logo

Gmelius

Source

Strengths

  • Gmail-native shared inbox means no new application to launch — team members stay in their existing email workflow.
  • AI assistant Meli handles reply drafting, email sorting, and meeting scheduling directly inside Gmail without additional tools.
  • SOC 2 Type II certified with Swiss privacy-by-design, meeting enterprise security procurement requirements.
  • Per-user pricing model with no per-conversation or per-channel fees makes cost predictable as teams grow.
  • Collaboration features including shared labels, Kanban boards, and real-time email notes reduce inbox clutter for support and sales teams.

Weaknesses

  • Gmail-only platform — no Outlook support eliminates teams in mixed or Microsoft-first email environments entirely.
  • Extension-delivered model means performance depends on browser extension loading times, with documented slow email loading on G2.
  • No permanent free plan and no free tier creates a billing commitment before teams can validate fit for their workflow.
  • Limited mobile app functionality means mobile support teams operate with reduced feature parity versus desktop.
  • Automation Rules and complex workflow configuration requires a learning investment that slows initial team adoption.
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 Gmelius 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

    Gmelius: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Gmelius 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 Gmelius to Gorgias data migrations

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

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Most migrations land between two and four weeks for teams with under 5,000 conversations, 500 contacts, and no complex SLA configurations. Migrations exceeding 20,000 conversations, 2,000 contacts, or knowledge base article creation move to five to eight weeks because of Gmail API pagination time, customer deduplication complexity, and knowledge base build parallel workstreams. The Gorgias account must be provisioned before migration begins; we do not scope account creation as part of the migration.

Adjacent paths

Related migrations to explore

Ready when you are

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