Helpdesk migration
Field-level mapping, validation, and rollback between Gmelius and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Gmelius
Source
Zendesk
Destination
Compatibility
6 of 11
objects map 1:1 between Gmelius and Zendesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Gmelius to Zendesk is a structural migration from a Gmail-embedded collaboration layer to a dedicated omnichannel helpdesk platform. Gmelius stores conversations inside Gmail with shared labels, Kanban boards, and automation rules as extension-local configuration; Zendesk requires tickets, agents, organizations, and views as first-class objects. We extract Gmelius data via the Gmail API and Google Contacts API, then transform shared inbox threads into Zendesk tickets, preserving assignee, status, tags, and thread history. Automation Rules, Kanban board configurations, and SLA analytics are documented for the customer's admin to rebuild as Zendesk Views, Triggers, and SLA policies post-migration. Teams moving from Gmelius to Zendesk gain ticket routing, knowledge base, chat and voice channels, and enterprise reporting, but leave behind the Gmail-native workflow that made Gmelius adoption frictionless for Google Workspace teams.
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 Zendesk, 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
Zendesk
View
1:1Gmelius Shared Inboxes map to Zendesk Views. Each shared inbox with its assigned conversations, labels, and member list becomes a Zendesk View with the same filter criteria (assignee, status, tags). We capture shared inbox member lists during discovery and configure Zendesk Group membership matching the Gmelius team composition. Multiple shared inboxes that share the same assignee pool can be consolidated into a single Zendesk View if the customer prefers unified routing.
Gmelius
Email Conversation
Zendesk
Ticket
1:1Full email threads from Gmelius shared inboxes migrate to Zendesk Tickets. Each message in the thread becomes a Ticket Comment. The original Gmelius conversation assignee maps to the Zendesk Ticket Assignee; conversation status (open, resolved) maps to Ticket Status (Open, Pending, Solved). Thread-level tags migrate as Zendesk Tags. The original email subject line becomes the Ticket Subject, and the first customer email becomes the Ticket Description.
Gmelius
Shared Label
Zendesk
Tag
lossyGmelius Shared Labels export from Gmail via the Gmail API as label names. We map them to Zendesk Tags on the migrated tickets. Label hierarchies (parent/child labels) are flattened into a dot-separated tag convention (e.g., billing.refund) since Zendesk Tags are a flat namespace. The customer chooses whether to use dot-separated hierarchies or flatten all labels during scoping.
Gmelius
Email Template
Zendesk
Macro
1:1Gmelius shared email templates (stored with variable placeholders in Meli and Growth tiers) migrate to Zendesk Macros. We preserve merge field syntax where Gmelius variable placeholders are compatible with Zendesk macro placeholder format ({{ticket.requester.name}}, etc.). Templates without variables migrate as static macros. Template categorization in Gmelius maps to Zendesk Macro groups.
Gmelius
Shared Draft
Zendesk
Macro
lossyGmelius Shared Drafts (collaborative email drafts not yet sent) have no direct Zendesk equivalent. We export Shared Draft content and convert them into Zendesk Macros, preserving the draft text and any variable placeholders. If the draft references a specific conversation thread, we attach the resulting Macro as a draft response template for that ticket subject pattern. Draft authorship and timestamps are preserved in macro revision notes.
Gmelius
Automation Rule
Zendesk
Trigger / Automation
lossyGmelius Automation Rules define conditional routing, auto-assignment, and follow-up sequences stored as extension-local configuration. We cannot export these programmatically. During discovery, we screen-record the active Automation Rules, capture the trigger conditions (sender domain, subject keyword, label), the action (assign to user, add tag, set status), and any delay or follow-up steps. We deliver a written rule inventory with a recommended Zendesk Trigger or Automation equivalent for the customer's admin to rebuild. Complex multi-step Pro-tier AI Dispatching rules require the most manual reconstruction effort.
Gmelius
Kanban Board
Zendesk
View
lossyGmelius Kanban boards visualize email pipelines by status columns. We map each Kanban column to a Zendesk View filter (status = column value). Board card associations (which conversation maps to which card) are preserved as Ticket Tags that identify the originating Kanban board and column. The customer may choose to recreate Kanban board visualization using a third-party Zendesk app (such as Kanban for Zendesk) post-migration, which we document in the handoff.
Gmelius
Contact (Gmail Contact Layer)
Zendesk
User / Organization
1:manyGmelius does not maintain a separate contact database — contacts live in Gmail's contact layer and are associated with conversations by email address. We export contacts via Google Contacts API and map them to Zendesk Users (the requester) and Organizations (the company). When a contact's email domain appears across multiple contacts, we deduplicate and merge into a single Zendesk Organization with multiple User records attached. Contact name, email, phone, and any Gmelius-specific tags transfer as User fields or Tags.
Gmelius
SLA & Email Analytics
Zendesk
Custom Fields + SLA Policy
1:1SLA configurations in Gmelius (Growth tier) define response time and resolution time targets per inbox or tag. We export SLA rules as custom metadata (stored as Ticket Custom Fields) and as Zendesk SLA Policies with First Reply Time and Next Reply Time targets. Historical SLA compliance metrics (tickets that met or breached SLA) are stored as custom numeric fields on migrated tickets. Zendesk Explore dashboards for SLA reporting are not built during migration; we document the recommended Explore data model for the customer's BI team.
Gmelius
User / Team Member
Zendesk
Agent
1:1Gmelius users correspond to Google Workspace accounts. We export the full user list and map each to a Zendesk Agent profile. Active users get full Agent roles; users with read-only Gmelius access get Light Agent roles. We flag any Gmelius users who used features gated by tier (AI Dispatching on Pro, SLA Analytics on Growth) so the customer's Zendesk admin can assign appropriate Zendesk roles post-migration. Inactive or suspended Gmelius users are migrated as inactive Zendesk Agents with tickets reassigned to a default agent.
Gmelius
Note
Zendesk
Ticket Comment (private)
1:1Gmelius email notes and @mentions within conversation threads migrate to Zendesk Ticket Comments marked as internal (private). Note authorship and timestamps are preserved; the original author maps to the Zendesk Agent who authored the note. Threaded note replies become child comments under the same private comment thread. Note-to-conversation associations are preserved via the parent Ticket ID.
| Gmelius | Zendesk | Compatibility | |
|---|---|---|---|
| Shared Inbox | View1:1 | Fully supported | |
| Email Conversation | Ticket1:1 | Fully supported | |
| Shared Label | Taglossy | Fully supported | |
| Email Template | Macro1:1 | Fully supported | |
| Shared Draft | Macrolossy | Fully supported | |
| Automation Rule | Trigger / Automationlossy | Fully supported | |
| Kanban Board | Viewlossy | Fully supported | |
| Contact (Gmail Contact Layer) | User / Organization1:many | Fully supported | |
| SLA & Email Analytics | Custom Fields + SLA Policy1:1 | Mapping required | |
| User / Team Member | Agent1:1 | Fully supported | |
| Note | Ticket Comment (private)1:1 | 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
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and Gmelius tier audit
We audit the source Gmelius account across tiers (Meli, Growth, Pro) to identify all Shared Inboxes, active conversations, labels, templates, Kanban boards, and Automation Rules in use. We extract the Gmail API label taxonomy, conversation metadata, and contact records via the Google Contacts API. We document the Gmelius plan tier and flag any features (AI Dispatching, SLA Analytics) that are not available on lower tiers and may require additional Zendesk configuration to replace. The discovery output is a written migration scope, object inventory, and a Gmelius-to-Zendesk mapping matrix.
Zendesk account preparation and schema setup
We configure the Zendesk target account: provisioning Agents and Groups to match the Gmelius team member list, creating Tags that mirror the Gmelius label taxonomy, building Views that replicate each Gmelius Shared Inbox, and setting up SLA Policies based on exported Gmelius SLA rules. We disable automatic Solved-to-Closed ticket automation and archiving rules during the migration window. If the customer uses Zendesk Guide, we prepare the Help Center structure. Any required Zendesk custom fields (for SLA metadata, Kanban board provenance) are created before data migration begins.
Contact and user extraction and reconciliation
We export contacts via the Google Contacts API and deduplicate by email domain to create Zendesk Organizations with linked User records. We extract the Gmelius user list and map each to a Zendesk Agent profile, matching by Google Workspace email address. Any Gmelius user without a matching Zendesk account goes to a reconciliation queue for the customer's Zendesk admin to provision. Ticket assignments are resolved against this user map; unresolvable assignments are set to a default agent.
Conversation migration in shared-inbox batches
We migrate Gmelius conversations grouped by Shared Inbox. Each conversation thread becomes a Zendesk Ticket with the first customer email as the Ticket Description and all subsequent messages as Ticket Comments. Assignee, status, and tags transfer from Gmelius metadata. Attachments are downloaded from Gmail via the Gmail API and re-uploaded as Zendesk Ticket Attachments. We run migrations in batches of 500-1,000 tickets with row-count reconciliation between Gmelius label counts and Zendesk ticket counts after each batch.
Template, draft, and note migration
Gmelius Email Templates migrate to Zendesk Macros in the corresponding Macro group. Shared Drafts migrate as Macros with a note in the macro body that indicates the draft originated from Gmelius Shared Drafts. Gmelius Notes and @mentions in conversation threads migrate as private (internal) Zendesk Ticket Comments with the original author and timestamp preserved. We validate a 25-record sample of migrated macros and comments against the source Gmelius account before declaring this phase complete.
Automation Rule documentation and handoff
We deliver a written Automation Rule inventory capturing each Gmelius rule's trigger, conditions, actions, and delay logic with screenshots from the discovery walkthrough. This document maps each rule to a recommended Zendesk Trigger or Automation equivalent with specific field names, operators, and actions. We do not rebuild Automation Rules inside the migration scope. The customer's Zendesk admin uses this inventory to rebuild rules in Zendesk admin post-migration. Kanban board provenance tags are documented for the customer to recreate board visualization using a Zendesk app if desired.
Cutover, validation, and go-live support
We freeze Gmelius writes during cutover, run a final delta migration of any conversations modified during the migration window, then enable Zendesk as the system of record. We deliver a row-count reconciliation report comparing total migrated tickets, users, organizations, macros, and tags against the source Gmelius account. We support a three-day hypercare window for reconciliation issues raised by the support team. Post-migration admin tasks (Automation Rule rebuild, Kanban app installation, Zendesk Guide article population) are documented separately as admin-phase tasks outside migration scope.
Platform deep dives
Gmelius
Source
Strengths
Weaknesses
Zendesk
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 Zendesk.
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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