Helpdesk migration
Field-level mapping, validation, and rollback between Gmelius and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.
Gmelius
Source
Salesforce Service Cloud
Destination
Compatibility
9 of 12
objects map 1:1 between Gmelius and Salesforce Service Cloud.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Gmelius to Salesforce Service Cloud is a migration from a Gmail extension into a full enterprise CRM, not a simple record copy. Gmelius has no formal public REST API on its lower tiers, so we extract data via the Google Workspace API surface (Gmail API, Google Contacts API) using per-user OAuth scopes, then transform Gmail labels, conversation threads, and shared inbox metadata into Salesforce Cases, EmailMessage records, and Contact associations. We map shared inbox structures to Case queues and record types, preserving assignee, status, and SLA metadata as Salesforce fields. Kanban board columns become Case Status values. Email templates and shared drafts migrate as Salesforce email templates with placeholder syntax adjusted. Automation Rules in Gmelius are extension-local state with no export mechanism; we document them during discovery for manual Flow rebuild. We do not migrate Workflows, Sequences, Forms, or reporting dashboards as code. Timeline ranges from three to six weeks depending on conversation volume and custom field complexity.
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.
Source platform
Gmelius platform overview
Scorecard, SWOT, gotchas, and pricing for Gmelius.
Destination platform
Salesforce Service Cloud platform overview
Scorecard, SWOT, gotchas, and pricing for Salesforce Service Cloud.
Data migration guide
The complete Salesforce Service Cloud migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Salesforce Service Cloud migration checklist
Pre- and post-cutover tasks for moving onto Salesforce Service Cloud.
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 Salesforce Service Cloud, 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
Salesforce Service Cloud
Case + Queue
1:1Gmelius Shared Inboxes map to Salesforce Cases, with each shared inbox becoming a Case Record Type. The shared inbox assignee and team structure maps to Salesforce Queues (or the default Gmelius queue if no specific routing was configured). We preserve inbox-level SLA configurations as custom fields on the Case object (FirstResponseTarget__c, ResolutionTarget__c) and create a Queue per Gmelius shared inbox during schema design. Source: Gmelius object support documentation noting full support for Shared Inbox migration.
Gmelius
Email Conversation
Salesforce Service Cloud
Case + EmailMessage
1:1Each email thread in a Gmelius shared inbox becomes a Salesforce Case with individual emails as EmailMessage records linked to the Case via the ParentId field. We extract full email content, headers, and attachments via the Gmail API threads endpoint, preserving the original timestamp, sender, recipient, and thread ID for audit. Conversation metadata (assignee, status, priority) from Gmelius maps to Salesforce Case fields (OwnerId, Status, Priority). Source: Gmail API thread and message export documentation.
Gmelius
Shared Label
Salesforce Service Cloud
Custom Field (Multi-Select Picklist) or Label
lossyGmail labels exported via the Gmail API are recreated as Salesforce Labels if they represent a taxonomy (e.g., Department, Product Line) or as custom multi-select picklist fields on Case if they represent taggable attributes used in Gmelius filtering. We capture the full label hierarchy during discovery and the customer chooses the mapping strategy during scoping. Label counts and co-occurrence patterns inform which labels become fields versus Labels. Source: Gmelius Shared Labels support note referencing Gmail API export.
Gmelius
Email Template
Salesforce Service Cloud
EmailTemplate
1:1Gmelius shared email templates map to Salesforce EmailTemplate records with the folder structure preserved. Merge field placeholders (e.g., {{contact.name}}, {{case.subject}}) in Gmelius template syntax are translated to Salesforce merge field syntax ({!Contact.Name}, {!Case.Subject}) during migration. We export the full template body including conditional blocks and attachment references and reconstruct them in Salesforce with the correct template type (text, HTML, or custom component). Source: Gmelius object support documentation on Email Template full support.
Gmelius
Shared Draft
Salesforce Service Cloud
EmailTemplate
1:1Gmelius shared drafts are collaborative email drafts not yet sent. We export them as Salesforce EmailTemplate records since Salesforce does not have a pre-send shared draft concept. Draft-to-address and draft context are captured as template metadata. The customer reviews the migrated drafts post-migration and either finalises them as templates or deletes them if no longer relevant. Source: Gmelius object support noting Shared Drafts require mapping to EmailTemplate.
Gmelius
Kanban Board
Salesforce Service Cloud
Case Status (Picklist values)
lossyGmelius Kanban boards visualise email pipelines by status columns. Each board column maps to a Salesforce Case Status picklist value. We preserve card-to-conversation associations by ensuring the original Case Status reflects the column position at migration time. Custom board layouts may require additional Case Record Types if different teams use different column sets. Board-level SLA or priority filters are documented for manual rebuild in Salesforce Flows. Source: Gmelius object support noting Kanban Boards require mapping with custom layout caveats.
Gmelius
Tag
Salesforce Service Cloud
Custom Field (Text) or Case Tag
1:1Gmelius tags applied to conversations are exported as a text concatenation stored in a custom field on Case (ConversationTags__c). For taxonomies with fewer than 15 distinct tags, a multi-select picklist is preferred. Tag-to-conversation associations are preserved as a delimited tag string on each Case so that reporting by tag can be reconstructed via SOQL or a Salesforce report filter. Source: Gmelius object support documentation on Tag mapping.
Gmelius
Contact (Google Contacts layer)
Salesforce Service Cloud
Contact
1:1Gmelius does not maintain a separate contact database; contacts live in the Google Contacts layer associated with the Gmail thread participants. We export contacts via the Google Contacts API and map them to Salesforce Contact records, resolving duplicates by email address match. Any Gmelius-specific contact associations (e.g., internal notes, custom contact fields) are preserved in a custom field on the Contact record. Source: Gmelius object support note referencing Google Contacts API export.
Gmelius
User / Team Member
Salesforce Service Cloud
User
1:1Gmelius users correspond to Google Workspace accounts. We extract the user list via the Google Admin SDK or directory API and map them to Salesforce User records by email match. Assignment history on conversations is preserved by resolving the Gmelius user reference to the Salesforce UserId at the time of Case import. If a Gmelius user has no matching Salesforce User, they enter a reconciliation queue for admin provisioning before migration proceeds. Source: Gmelius object support documentation on Users with Enterprise multi-domain caveat.
Gmelius
Email Note / @mention
Salesforce Service Cloud
CaseComment
1:1Email notes and @mentions in Gmelius threads are exported as Salesforce CaseComment records with CommentType = Text and IsPublished = false for internal notes, IsPublished = true for @mentions visible to the customer. Note authorship (email address) maps to the CaseComment.CreatedById where a matching Salesforce User exists, or is stored as a custom text field for manual resolution. Timestamps are preserved from the original Gmelius thread note. Source: Gmelius object support note on Notes mapping with authorship preservation.
Gmelius
SLA Configuration
Salesforce Service Cloud
Custom Fields + Entitlement Process
1:1SLA rules in Gmelius (First Response Target, Next Response Target, Resolution Target) are tier-gated on Growth and Pro. We export SLA configurations as metadata and recreate them as Salesforce Entitlement Processes and custom fields on Case (SLAFirstResponse__c, SLAResolution__c). The live SLA timer functionality requires Salesforce Entitlement Management, which may require a Service Cloud license upgrade depending on the customer's current Salesforce edition. Source: Gmelius object support documentation on SLA Analytics mapping with tier-gate caveat.
Gmelius
Automation Rule
Salesforce Service Cloud
Flow (documented for manual rebuild)
lossyGmelius Automation Rules define conditional routing, auto-assignment, and follow-up sequences. These are extension-local configuration with no documented export mechanism. We capture rule configurations during the discovery walkthrough by screen-recording the Automation Rules UI and producing a written inventory document that maps each Gmelius rule trigger, conditions, and actions to an equivalent Salesforce Flow builder design. The customer or a Salesforce admin rebuilds them post-migration. Complex rules with AI dispatching on the Pro tier require the most manual reconstruction. Source: Gmelius own help center on Automation Rules no-export limitation.
| Gmelius | Salesforce Service Cloud | Compatibility | |
|---|---|---|---|
| Shared Inbox | Case + Queue1:1 | Fully supported | |
| Email Conversation | Case + EmailMessage1:1 | Fully supported | |
| Shared Label | Custom Field (Multi-Select Picklist) or Labellossy | Fully supported | |
| Email Template | EmailTemplate1:1 | Fully supported | |
| Shared Draft | EmailTemplate1:1 | Fully supported | |
| Kanban Board | Case Status (Picklist values)lossy | Fully supported | |
| Tag | Custom Field (Text) or Case Tag1:1 | Fully supported | |
| Contact (Google Contacts layer) | Contact1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Email Note / @mention | CaseComment1:1 | Fully supported | |
| SLA Configuration | Custom Fields + Entitlement Process1:1 | Fully supported | |
| Automation Rule | Flow (documented for manual rebuild)lossy | 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
Salesforce Service Cloud gotchas
Data Export 512MB file size cap breaks large org exports
API Daily Request Limits vary by license edition
No automatic data backup in base Salesforce
Picklist dependencies silently break records when unmapped
Workflow rules fire unexpectedly during data load
Pair-specific challenges
Migration approach
Discovery and Google Workspace OAuth scoping
We audit the Gmelius environment: shared inbox count, label taxonomy, template library, Kanban board structures, active Automation Rules, and contact volume. We collect per-user Google OAuth credentials for the Gmail API and Google Contacts API extraction, which requires each team member to authorise read access to their Gmail and contacts data. We document the Automation Rule configurations by screen-recording the rules interface and produce a written rule inventory. We also assess the Salesforce destination org's Service Cloud edition, available Case Record Types, and existing custom fields to avoid conflicts during migration.
Schema design and Case model configuration
We design the Salesforce destination schema: Case Record Types (one per Gmelius shared inbox), Case Status picklist values (mapped from Kanban columns), custom fields for SLA targets, tag storage, and Gmelius metadata. Queues are provisioned for each shared inbox assignee structure. We map Google Contacts API exports to Salesforce Contact with deduplication by email. All schema is deployed to a Salesforce Sandbox via metadata API or change set for validation before production migration begins.
Google Workspace data extraction and transformation
We extract data in dependency order: Users (Google Admin SDK), Contacts (Google Contacts API), Shared Labels (Gmail API label list), Email Conversations (Gmail API threads endpoint with full message parts and attachments), Templates (Gmelius UI export or screen-capture), and Kanban board structures (screen-captured during discovery). Each extract is validated against Gmelius UI counts reported by the customer. Attachments are extracted as base64-encoded blobs for upload to Salesforce ContentDocument via the REST API.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox using production-like data volumes. The customer's Service Cloud admin or RevOps lead reconciles record counts (Cases in, Contacts in, EmailMessages in), spot-checks 20-30 random Cases against the Gmelius source for data accuracy, and validates Case Status mapping against the original Kanban board columns. Template rendering is tested by sending a test email from a migrated Case using the new Salesforce EmailTemplate. Schema corrections, field mapping adjustments, and picklist value additions happen in the Sandbox before production cutover.
Production migration in record-dependency order
We run production migration in dependency order: Salesforce Users (manually provisioned by the customer's admin, validated first), Contacts (Google Contacts to Salesforce Contacts), Cases (one Record Type per shared inbox with initial status from Kanban column), EmailMessages (linked to Cases via ParentId), ContentDocuments (attachments linked to Cases via ContentDocumentLink), CaseComments (email notes migrated as internal or published comments), custom fields (SLA metadata, tag strings), and finally EmailTemplates (with merge field syntax translated). Each phase emits a row-count reconciliation report. We use the Salesforce Bulk API 2.0 with chunking and exponential backoff for the EmailMessage phase.
Cutover, validation, and Automation Rule handoff
We freeze Gmelius writes during cutover, run a final delta migration of any emails received during the migration window, then enable Salesforce Service Cloud as the system of record. We deliver the Automation Rule inventory document to the customer's admin team with recommended Salesforce Flow equivalents. We support a five-business-day hypercare window for reconciliation of any record discrepancies raised by the support team. We do not rebuild Gmelius Automation Rules as Salesforce Flows inside the migration scope; that is a separate engagement or an internal admin rebuild task.
Platform deep dives
Gmelius
Source
Strengths
Weaknesses
Salesforce Service Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 of 7 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Gmelius and Salesforce Service Cloud.
Object compatibility
1 of 7 objects need a manual workaround.
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
Pick a category, then your source and destination platforms.
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