Helpdesk migration
Field-level mapping, validation, and rollback between Gmelius and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Gmelius
Source
Freshdesk
Destination
Compatibility
8 of 10
objects map 1:1 between Gmelius and Freshdesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Freshdesk
Inbox + Ticket
1:1Gmelius 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
Freshdesk
Ticket
1:1Each 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
Freshdesk
Tag
1:1Gmelius 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
Freshdesk
Canned Response
1:1Gmelius 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
Freshdesk
Ticket Status + Custom View
lossyGmelius 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)
Freshdesk
Contact + Company
1:1Gmelius 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
Freshdesk
Automation (rebuild required)
lossyGmelius 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
Freshdesk
Ticket Custom Fields + SLA Metadata
1:1Gmelius 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)
Freshdesk
Agent
1:1Gmelius 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
Freshdesk
Ticket Note
1:1Gmelius 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.
| Gmelius | Freshdesk | Compatibility | |
|---|---|---|---|
| Shared Inbox | Inbox + Ticket1:1 | Fully supported | |
| Email Conversation | Ticket1:1 | Fully supported | |
| Shared Label | Tag1:1 | Fully supported | |
| Email Template | Canned Response1:1 | Fully supported | |
| Kanban Board | Ticket Status + Custom Viewlossy | Fully supported | |
| Contact (Gmail Contacts layer) | Contact + Company1:1 | Fully supported | |
| Automation Rule | Automation (rebuild required)lossy | Fully supported | |
| SLA Configuration | Ticket Custom Fields + SLA Metadata1:1 | Fully supported | |
| Team Member (Gmelius user) | Agent1:1 | Fully supported | |
| Email Note and @Mention | Ticket Note1:1 | Fully supported |
Gotchas + challenges
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 gotchas
Gmail-only lock-in is irreversible for mixed email environments
No formal public API on lower tiers limits programmatic data export
Automation Rules are extension-local state with no export mechanism
All team members must share the same plan tier
Extension conflicts with other Gmail add-ons cause UI instability
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
Gmelius
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Gmelius and Freshdesk.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Gmelius: Not publicly documented.
Data volume sensitivity
Gmelius doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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