Helpdesk migration
Field-level mapping, validation, and rollback between DeskDay and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
DeskDay
Source
Gorgias
Destination
Compatibility
9 of 12
objects map 1:1 between DeskDay and Gorgias.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from DeskDay to Gorgias crosses a fundamental product-category boundary. DeskDay is an MSP-centric ITSM platform with a chat-native ticket model, client-organization hierarchy, and PSA billing capabilities built for managed IT service delivery. Gorgias is an ecommerce-native helpdesk optimized for Shopify and multichannel consumer support, where individual customer profiles, order context, and ticket routing replace the MSP client-and-end-user hierarchy. We extract from DeskDay through its available export interfaces, resolve the organizational model mismatch (DeskDay client organizations vs Gorgias individual customers), remap SLA policies into Gorgias rules, rehost ticket attachments, and deliver a written handoff inventory of any DeskDay automation rules that require manual rebuild in Gorgias. Workflows, automations, and PSA billing configurations do not migrate as functional code.
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 DeskDay 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.
DeskDay
Tickets
Gorgias
Tickets
1:1DeskDay conversational ticket threads map directly to Gorgias Tickets. Subject, body content, status (open/closed/pending), priority, and timestamp migrate 1:1. DeskDay's internal assignee (agent) maps to Gorgias assignee by email lookup. Tags on DeskDay tickets migrate as Gorgias tags. The DeskDay ticket ID is preserved as an external_id on the Gorgias ticket for audit traceability. DeskDay's chat-native message ordering is preserved as ticket comments in chronological sequence.
DeskDay
End Users (Customers)
Gorgias
Customers
1:1DeskDay end-user records (name, email, phone, company association) map to Gorgias Customer records. Email is used as the dedupe key. DeskDay's company association on an end-user maps to the Gorgias customer's primary company identifier. If DeskDay stores multiple contacts per MSP client, each end user becomes a separate Gorgias Customer rather than a hierarchical MSP-client-to-customer mapping, since Gorgias does not support the MSP multi-client organizational model natively.
DeskDay
Client Organizations (MSP Clients)
Gorgias
Customers (company-level)
1:manyEach DeskDay Client Organization representing an MSP customer maps to a Gorgias Customer record with the company name as the primary identifier. All end users associated with that Client Organization in DeskDay are linked to the corresponding Gorgias Customer. SLA tier or service level stored on the DeskDay organization record is preserved as a custom field (e.g., sla_tier__c) on the Gorgias Customer for reference. This merge is critical because Gorgias has no multi-client hierarchy—the MSP's view of multiple customers must flatten into individual Gorgias customer records.
DeskDay
Agents / Technicians
Gorgias
Users
1:1DeskDay Agent records (name, email, role, team assignment) map to Gorgias Users. We match by email address. Any DeskDay Agent without a matching Gorgias User is placed in a reconciliation queue for the customer's admin to provision the account before ticket reassignment proceeds. Team routing assignments from DeskDay do not automatically map to Gorgias inbox routing; we document the DeskDay team-to-agent mapping so the customer's admin can configure Gorgias inbox rules post-migration.
DeskDay
Teams
Gorgias
Inboxes or User Groups
lossyDeskDay team structures map to Gorgias Inboxes (one per source team) or to Gorgias User Groups depending on the destination configuration. Each Gorgias inbox can have dedicated routing rules and channel associations (email, chat, social). We create the inbox structure in Gorgias during the pre-migration configuration phase and document which DeskDay team maps to which Gorgias inbox so the admin can assign agents and configure routing rules.
DeskDay
Knowledge Base Articles
Gorgias
Articles
1:1DeskDay Knowledge Base articles and their category assignments migrate to Gorgias Articles with the same title, body content, and category structure. Article view counts, feedback ratings, and internal publication status are not migrated as these are metrics generated by reader activity in the destination platform. Published vs draft status is preserved where the source field exists. The article hierarchy (parent-child categories) maps to Gorgias article sections.
DeskDay
Tags
Gorgias
Tags
1:1Tags applied to DeskDay tickets migrate as flat Gorgias tag labels. Tags are applied to the corresponding ticket records post-import. DeskDay tag categories (if any hierarchical grouping exists) are flattened since Gorgias uses a flat tag model. All tag names are preserved verbatim for reporting continuity.
DeskDay
Custom Ticket Fields
Gorgias
Custom Fields
1:1DeskDay custom ticket fields migrate as Gorgias custom fields on the Ticket object. We extract the DeskDay field definition (name, data type, required flag), create the corresponding Gorgias custom_field via the Gorgias API with the matching type (string, number, boolean, date), and map the values during ticket import. Fields that exist in DeskDay but have no natural Gorgias equivalent are created as text custom fields with the original value preserved as a string. Custom fields on DeskDay's End User object are evaluated for mapping to Gorgias Customer custom fields on the same 1:1 type-matching basis.
DeskDay
SLA Policies
Gorgias
Rules (functional approximation)
lossyDeskDay SLA policies referencing business-hours definitions and escalation timers do not have a direct Gorgias equivalent, because Gorgias does not have a native SLA object. We convert DeskDay SLA policies into Gorgias Rules with condition-based actions (e.g., if priority is High and status is Open after 4 hours, then reassign and send notification). Business-hours definitions from DeskDay are documented as a configuration note for the customer's admin to set in Gorgias if applicable. This is a functional approximation, not a 1:1 migration, and the admin should validate the rule behavior post-migration.
DeskDay
Attachments
Gorgias
Attachments
1:1DeskDay stores file attachments on tickets using internal cloud URLs that are not portable. We download all ticket attachments from DeskDay, re-upload them to Gorgias using the Gorgias API attachment endpoint, and update the ticket records with the new Gorgias attachment references. This process adds processing time proportional to total attachment volume and file size, and must be planned into the migration timeline. Inline images embedded in ticket comments are handled as attachments with the comment reference updated accordingly.
DeskDay
IT-Connect (Customer Portal)
Gorgias
Help Center
1:1DeskDay IT-Connect portal associations (which tickets were submitted through the customer portal) migrate as metadata on the ticket record. The IT-Connect portal's theming, branding, and white-label settings are plan-gated (Standard vs Enterprise in DeskDay) and do not have a functional Gorgias equivalent because Gorgias Help Center uses its own theming system. Portal configuration does not migrate; we document the DeskDay portal settings so the admin can configure the Gorgias Help Center manually post-migration.
DeskDay
Reports and Dashboards
Gorgias
Reports
1:1DeskDay reporting data is generated at query time from ticket and agent activity logs rather than stored as independent report records. There are no report definitions to migrate. We deliver a written inventory of the DeskDay reports the customer uses most frequently (ticket volume by status, agent response times, SLA compliance rates) as a reference for the customer's admin to recreate in Gorgias's built-in statistics dashboard or via a connected BI tool.
| DeskDay | Gorgias | Compatibility | |
|---|---|---|---|
| Tickets | Tickets1:1 | Fully supported | |
| End Users (Customers) | Customers1:1 | Fully supported | |
| Client Organizations (MSP Clients) | Customers (company-level)1:many | Fully supported | |
| Agents / Technicians | Users1:1 | Fully supported | |
| Teams | Inboxes or User Groupslossy | Fully supported | |
| Knowledge Base Articles | Articles1:1 | Mapping required | |
| Tags | Tags1:1 | Mapping required | |
| Custom Ticket Fields | Custom Fields1:1 | Mapping required | |
| SLA Policies | Rules (functional approximation)lossy | Mapping required | |
| Attachments | Attachments1:1 | Mapping required | |
| IT-Connect (Customer Portal) | Help Center1:1 | Mapping required | |
| Reports and Dashboards | Reports1:1 | Not 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.
DeskDay gotchas
Onboarding fee differs by plan tier
Attachment storage requires URL remapping
IT-Connect portal settings are plan-gated
Platform maturity creates support risk
Gorgias gotchas
AI Agent adds outcome-based fees on top of billable ticket costs
Overage billing for tickets scales nonlinearly
API rate limits restrict bulk export throughput
Agent data visibility cannot be restricted by role for GDPR use cases
Knowledge Base translations require separate API calls per locale
Pair-specific challenges
Migration approach
Discovery and extraction method confirmation
We audit the DeskDay instance to confirm available export interfaces, record volumes (tickets, end users, client organizations, agents, KB articles, SLA policies, tags), and attachment library size. If DeskDay's public API endpoints are insufficient for bulk extraction, we prepare a CSV export workflow or coordinate with the DeskDay team on data access. We also confirm the Gorgias plan tier (Starter through Enterprise) to verify which custom field types and inbox configurations are available. The discovery output is a written migration scope with record counts, extraction method, and a Gorgias plan recommendation.
Organizational model reconciliation
We design the target Gorgias customer model before any data moves. Each DeskDay Client Organization becomes one or more Gorgias Customer records, with all associated end users linked by company name. We define the SLA tier preservation strategy (custom field on the Gorgias Customer record), confirm the team-to-inbox mapping, and design the DeskDay SLA policy-to-Gorgias Rules conversion matrix. This step resolves the MSP-to-ecommerce structural mismatch before record import begins and prevents orphaned contacts or mismatched ticket assignments.
Schema pre-creation in Gorgias
We create the destination schema in Gorgias before importing any records. This includes custom fields on both Ticket and Customer objects (extracted from DeskDay custom ticket field definitions), Gorgias Inboxes (one per DeskDay team), and Gorgias Rules replicating the functional intent of DeskDay SLA policies. Custom field API names, data types, and priority order are validated against the Gorgias API before migration begins. This phase uses a staging verification against a sample of records before full import.
Attachment extraction and reupload preparation
We extract all ticket attachments from DeskDay storage in parallel with the record extraction phase. Attachments are staged in temporary encrypted storage with a manifest linking each file to its source ticket ID. The manifest is used to update ticket records with the new Gorgias attachment reference after reupload. For large attachment libraries, we process in batches to manage the download-and-reupload cycle without exceeding per-minute API rate limits. This phase often runs concurrently with record import to optimize timeline.
Record migration in dependency order
We import records into Gorgias in dependency order: Gorgias Users (validated against provisioned agent accounts), Customers (from DeskDay end users and client organizations with company links resolved), Tickets (with assignee, customer, tags, and external_id mapped), Knowledge Base Articles (with category assignments), and custom field values (appended to each ticket and customer record after the base record exists in Gorgias). SLA policy conversions are applied as Gorgias Rules after the core ticket import completes. Attachment reupload happens per-ticket after the ticket record exists so the attachment reference can be written at insert time.
Cutover, validation, and automation rebuild handoff
We freeze DeskDay write access during the cutover window, run a final delta migration of any records created or modified since the last import batch, then enable Gorgias as the system of record. We deliver a written inventory of DeskDay automation rules, SLA policy definitions, and IT-Connect portal configuration for the customer's admin to rebuild in Gorgias Rules and Help Center settings. We support a one-week post-migration validation window where we resolve any data integrity issues reported by the support team. We do not rebuild DeskDay automations as Gorgias Rules inside the migration scope; that is an admin-level configuration task documented in the handoff package.
Platform deep dives
DeskDay
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across DeskDay and Gorgias.
Object compatibility
3 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
DeskDay: Not publicly documented.
Data volume sensitivity
DeskDay 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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FAQ
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