Helpdesk migration

Migrate from Gmelius to Freshdesk

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

Gmelius logo

Gmelius

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

80%

8 of 10

objects map 1:1 between Gmelius and Freshdesk.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Gmelius to Freshdesk is a migration from a Gmail extension into a dedicated helpdesk platform. Gmelius runs inside Gmail as a Chrome browser extension without a standalone application or full public API, so we extract data through the Google Workspace API surface (Gmail API, Google Contacts API). Freshdesk receives the migrated data as Tickets, Contacts, and Companies, with Shared Labels becoming Freshdesk Tags and Gmelius Kanban columns mapping to Freshdesk ticket status values. SLA rules and SLA analytics migrate as structured metadata attached to tickets rather than as native Freshdesk SLA Policies. Automation Rules do not transfer as code; we document every rule from the Gmelius UI and deliver a rebuild guide for Freshdesk Automations. Email Templates and Shared Drafts migrate as Freshdesk Canned Responses and Templates. Engagement notes and @mentions migrate as ticket notes with authorship preserved.

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

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Gmelius objects map to Freshdesk

Each row shows how a Gmelius object lands in Freshdesk, 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

Freshdesk

Inbox + Ticket

1:1
Fully supported

Gmelius Shared Inboxes map to Freshdesk Inboxes with all conversations within each Shared Inbox ingested as Freshdesk Tickets. Each ticket inherits the Shared Inbox name as a tag for traceability. We use the Gmail API to export full thread content including headers, attachments, and inline images, then ingest via Freshdesk Tickets API with conversation threads preserved as ticket conversations in chronological order.

Gmelius

Email Conversation

maps to

Freshdesk

Ticket

1:1
Fully supported

Each Gmelius conversation thread becomes a single Freshdesk Ticket with the original email body as the first conversation entry and all subsequent replies appended in timestamp order. We preserve the original sender, recipient, CC/BCC fields, subject line, and thread ID. Attachments migrate as Freshdesk ticket attachments linked to the conversation entry.

Gmelius

Shared Label

maps to

Freshdesk

Tag

1:1
Fully supported

Gmelius Shared Labels export via Gmail API as label strings. We recreate them as Freshdesk Tags with identical names, preserving the label-to-conversation association. Multi-level label hierarchies in Gmelius (parent/child labels) flatten to a single tag namespace with an underscore separator (e.g., priority_urgent) in Freshdesk to avoid structural incompatibility.

Gmelius

Email Template

maps to

Freshdesk

Canned Response

1:1
Fully supported

Gmelius shared email templates with variable placeholders migrate to Freshdesk Canned Responses. We preserve the template body, subject line, and placeholder syntax (Gmelius uses double curly brace syntax {{variable}}) and recreate them in Freshdesk's Canned Response editor. If the team uses Gmelius Shared Drafts, these migrate as additional Canned Responses in Draft state for agents to complete and send manually.

Gmelius

Kanban Board

maps to

Freshdesk

Ticket Status + Custom View

lossy
Fully supported

Gmelius Kanban board columns (e.g., Open, Pending, Resolved) map to Freshdesk ticket status values that we configure in Freshdesk Admin Settings before migration. Each board-to-status mapping is documented during discovery. We also create Freshdesk Custom Views matching each Kanban board layout so agents can visualize ticket pipelines post-migration. Custom card metadata attached to Gmelius Kanban cards migrates as ticket notes.

Gmelius

Contact (Gmail Contacts layer)

maps to

Freshdesk

Contact + Company

1:1
Fully supported

Gmelius does not maintain a standalone contact database; contacts live in the Gmail contact layer accessible via Google Contacts API. We export all contacts and their associated email addresses, company associations, phone numbers, and any Gmelius-specific tags applied to the contact. If a contact has an associated company domain, we create a Freshdesk Company record and link the Contact to it. Contacts without company associations migrate as standalone Freshdesk Contacts.

Gmelius

Automation Rule

maps to

Freshdesk

Automation (rebuild required)

lossy
Fully supported

Gmelius Automation Rules define conditional routing, auto-assignment, and follow-up sequences stored as extension-local state with no export mechanism. We capture every Automation Rule during a guided discovery walkthrough by screen-recording the rules UI, documenting the trigger condition, action sequence, and any AI dispatching logic. We deliver a written rebuild guide mapping each Gmelius rule to its equivalent Freshdesk Automation (trigger type, conditions, actions) that the customer's Freshdesk admin implements post-migration.

Gmelius

SLA Configuration

maps to

Freshdesk

Ticket Custom Fields + SLA Metadata

1:1
Fully supported

Gmelius SLA rules and analytics (Growth tier) migrate as structured metadata on Freshdesk Tickets rather than as native Freshdesk SLA Policies (which require Pro tier). We export SLA rule definitions (time thresholds, business hours, escalation contacts) as a JSON attachment on each ticket and as custom field values for first-response and resolution due timestamps. The customer rebuilds native Freshdesk SLA Policies if they have a Pro plan.

Gmelius

Team Member (Gmelius user)

maps to

Freshdesk

Agent

1:1
Fully supported

Gmelius users correspond to Google Workspace accounts. We export the full user list with email, display name, and role (Admin, Member) and provision matching Freshdesk Agents via the Freshdesk Agents API. Agent group memberships in Gmelius map to Freshdesk Groups. Gmelius does not have an agent groups feature, so any informal team structure documented in Gmelius is recreated as Freshdesk Groups during migration.

Gmelius

Email Note and @Mention

maps to

Freshdesk

Ticket Note

1:1
Fully supported

Gmelius thread notes and @mentions are exported as Freshdesk Ticket Notes. We preserve the note content, the original author (matched to Freshdesk Agent by email), and the timestamp. Notes migrate as private internal notes in Freshdesk so the same visibility constraints are maintained post-migration.

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

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Gmelius has no public API for direct data extraction

    Gmelius does not expose a documented REST API on the Meli or Growth tiers, and even on Growth the API surface has no public endpoint documentation. We extract data via the Google Workspace API (Gmail API for email threads and labels, Google Contacts API for contacts) as a workaround. This means we are pulling from the underlying Gmail layer, not from Gmelius-specific objects directly. Any Gmelius-specific metadata attached to threads (Gmelius tags, assignee, SLA metadata) must be captured separately during a guided discovery session because it does not appear in the standard Gmail API response.

  • Automation Rules are extension-local state that does not export

    Gmelius Automation Rules are stored as browser extension configuration rather than as data accessible via API. There is no export button, no API endpoint, and no documented data format for these rules. Complex rules with AI dispatching (Pro tier) require the most manual documentation effort. During discovery, we screen-record every active Automation Rule and deliver a written rebuild guide mapping each rule to Freshdesk Automations. We do not migrate automation logic as code because it cannot be extracted from Gmelius.

  • SLA Policies require Freshdesk Pro tier to recreate natively

    Gmelius SLA configurations (Growth tier) migrate as ticket metadata and custom fields, not as native Freshdesk SLA Policies. Freshdesk SLA Policies with first-response and resolution-time enforcement are only available on the Pro plan ($49/agent/month). If the customer is on a lower Freshdesk tier or chooses not to upgrade to Pro, we document the original SLA rule definitions as a configuration guide for the customer's admin to implement manually or via Freshdesk Automations with time-based triggers.

  • Freshdesk API access requires Blossom tier or above

    Freshdesk's REST API is not available on the free Sprout plan. If the customer's Freshdesk destination is on Sprout, we cannot perform API-based migration and must fall back to CSV import for tickets and contacts. CSV import does not support conversation threading, attachments, or agent assignment in the same way the API does. We confirm the destination Freshdesk plan tier during scoping and recommend Blossom or above for migration scope parity.

  • Kanban card metadata does not have a native Freshdesk equivalent

    Gmelius Kanban cards can hold custom metadata fields beyond just the conversation reference (e.g., custom card fields for deal value, contact name, or priority flag). Freshdesk Tickets do not have a native card-view equivalent. We migrate card metadata as ticket notes and tag the ticket with the board/column name. If the customer requires a visual Kanban view in Freshdesk, we recommend configuring Freshdesk Custom Views with filters matching the original Kanban column structure, which is a configuration task outside the data migration scope.

Migration approach

Six steps for a successful Gmelius to Freshdesk data migration

  1. Discovery and data audit

    We conduct a guided discovery session with the customer's Gmelius admin to document all Shared Inboxes, Kanban boards, Automation Rules, Email Templates, and SLA configurations. We extract the Gmelius user roster and map each to the target Freshdesk agent provisioning plan. We also audit the Gmail API quota status for the Google Workspace domain to confirm that email export will not hit rate limits during the migration window. The discovery output is a written scope document with the object inventory, mapping table, and any feature-parity gaps identified between Gmelius tiers and the destination Freshdesk plan.

  2. Label taxonomy and Kanban mapping design

    We design the Freshdesk label taxonomy to match the Gmelius Shared Label hierarchy, flattening multi-level labels into a single namespace with documented naming conventions. We map each Gmelius Kanban board column to a Freshdesk ticket status value (Open, Pending, Resolved, Closed) and create Freshdesk Custom Views corresponding to each board layout. We also create the Freshdesk SLA Policy structure (if Pro plan) based on the exported SLA rule definitions. This design is validated in a Freshdesk sandbox or trial account before production migration begins.

  3. Contact and company pre-migration

    We export all contacts from Google Contacts API and clean the data (removing duplicates based on email address, normalizing company names for consistent domain matching). We create Freshdesk Companies first, then create Freshdesk Contacts linked to those companies. Any Gmelius-specific contact tags are preserved as Freshdesk Tags on the Contact record. This phase establishes the contact and company foundation before ticket migration begins, ensuring that Freshdesk can auto-link conversations to existing contacts based on sender email address.

  4. Ticket migration with threading and attachment handling

    We export full email threads from Gmelius via the Gmail API, reconstructing each thread as a single Freshdesk Ticket with the original email and all replies preserved as conversation entries in chronological order. Attachments are downloaded from Gmail and re-uploaded to Freshdesk as ticket attachments. We apply the Kanban-to-status mapping to each ticket and tag tickets with the originating Shared Inbox name and any relevant Gmelius labels. Tickets are created in batches with rate-limit handling and retry logic against the Freshdesk Tickets API.

  5. Agent provisioning and group configuration

    We provision Freshdesk Agents based on the Gmelius user roster, mapping each Google Workspace account to a Freshdesk Agent with the appropriate role (Agent or Admin). Gmelius Automation Rule ownership is noted against each rule in the documentation. We create Freshdesk Groups matching any informal team structures identified in Gmelius and assign agents to groups. Agent permissions are configured to match the Gmelius role hierarchy as closely as possible.

  6. Automation Rule documentation and cutover

    We deliver the Automation Rule rebuild guide documenting every Gmelius rule with its trigger, conditions, and actions mapped to an equivalent Freshdesk Automation configuration. We do not implement these rules as part of the migration scope. The customer's Freshdesk admin rebuilds them post-migration using the guide. We perform a final delta migration of any tickets created or modified during the migration window, then hand off with a reconciliation report comparing source record counts against destination ticket counts.

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.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

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

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Gmelius and Freshdesk.

  • Object compatibility

    B

    1 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 Freshdesk 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 Freshdesk data migrations

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

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Most migrations land between two and four weeks for accounts with under 10,000 conversations, a single Kanban board, and no complex Automation Rule documentation requirements. Migrations with large engagement histories (over 100,000 emails), multiple Kanban boards, or complex multi-step Automation Rules requiring detailed rebuild documentation move to five to eight weeks. The timeline also depends on the customer's responsiveness during discovery and the speed of Freshdesk API provisioning on the destination tenant.

Adjacent paths

Related migrations to explore

Ready when you are

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