Helpdesk migration

Migrate from Deskpro to Gorgias

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

Deskpro logo

Deskpro

Source

Gorgias

Destination

Gorgias logo

Compatibility

75%

9 of 12

objects map 1:1 between Deskpro and Gorgias.

Complexity

CModerate

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Deskpro to Gorgias is a platform philosophy migration. Deskpro is a generalist helpdesk with separate Peoples (individual customers) and Organizations as distinct entities, per-agent per-month pricing, and a two-tier Knowledge Base hierarchy (Folders and Sections). Gorgias is an e-commerce-native helpdesk built around a unified Customer object, per-ticket pricing that scales with volume, and a Shopify-first integration ecosystem. We resolve the Peoples-Organizations split during scoping by flattening individual contacts into Gorgias Customers with organization linkage preserved, collapse the Knowledge Base Folder/Section hierarchy into Gorgias categories, and export Deskpro ticket history using paginated Stat Builder queries capped at 2,500 records per run. Tags, custom ticket fields, and agent records migrate at the object level. Workflows, automations, SLA rules, and on-premise-specific features do not migrate; we deliver a written inventory of every active automation for your admin to rebuild in Gorgias.

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

Deskpro logo

Deskpro

What's pushing teams away

  • The agent-facing interface receives consistent criticism on G2—users describe it as functional but visually dated and less intuitive than competitors like Zendesk
  • Some customers report reliability issues including search errors, app crashes, and problematic email defaults that create friction in daily ticket handling
  • Organizations outgrowing the platform often cite insufficient advanced reporting and analytics depth compared to enterprise-focused alternatives
  • Teams with simpler needs sometimes find Deskpro's extensive customization options create unnecessary complexity compared to lighter alternatives like Helpspot

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Deskpro objects map to Gorgias

Each row shows how a Deskpro 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.

Deskpro

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Deskpro Tickets map directly to Gorgias Tickets. Each ticket's subject, body, status, priority, channel, and timestamp migrate. The Deskpro Stat Builder export caps at 2,500 records per query; we paginate using ticket ID range constraints (e.g., tickets.id between 1 and 2500, then 2501 and 5001) to export complete historical archives. Any gaps in ticket ID sequences are documented and flagged for customer review before import begins.

Deskpro

Peoples

maps to

Gorgias

Customer

1:1
Mapping required

Deskpro Peoples (individual end-users or customers) map to Gorgias Customers. The mapping preserves the person's name, email, phone, language, timezone, and custom field values. Peoples are the primary customer identity in Deskpro; Gorgias Customers serve the same role but with a flatter schema that does not distinguish between individual and organizational contacts at the object level.

Deskpro

Organization

maps to

Gorgias

Customer (organization field)

1:1
Fully supported

Deskpro Organizations are separate records representing companies. We preserve the Organization record name as the organization field on the mapped Gorgias Customer. Individual Peoples linked to an Organization map to Gorgias Customers that share the same organization field value, maintaining the group relationship. If no corresponding Gorgias Customer exists for an Organization record, we create a stub Customer record with only the organization name populated.

Deskpro

Agent

maps to

Gorgias

Agent

1:1
Fully supported

Deskpro Agents (support staff) map to Gorgias Agents. Agent name, email, role, department affiliation, and language preference migrate. Agent-to-ticket ownership is resolved by matching the Deskpro agent email against the Gorgias agent email. Inactive or deleted Deskpro agents are noted in the reconciliation report; tickets are reassigned to a default agent specified by the customer.

Deskpro

Department

maps to

Gorgias

Team

1:1
Fully supported

Deskpro Departments organize agents and tickets. They map to Gorgias Teams, which govern ticket routing, visibility, and SLA assignment. Department-level permissions and routing rules are documented for the customer's admin to reconfigure in Gorgias because permission models differ structurally between platforms.

Deskpro

Knowledge Base Folder

maps to

Gorgias

Category

lossy
Fully supported

Deskpro Folders are the top-level Knowledge Base container and map to Gorgias Categories. The Deskpro Folder name and description migrate as the Category name and description. If Deskpro has empty Folders, we skip them to avoid orphaned categories in Gorgias.

Deskpro

Knowledge Base Section

maps to

Gorgias

Category (flattened)

lossy
Fully supported

Deskpro Sections are the second tier inside Folders. Gorgias uses a single-level category structure with no Section equivalent. We flatten Deskpro Sections into their parent Folder at the destination, appending the Section name to the article title or storing it as a tag. The customer chooses the flattening strategy during scoping.

Deskpro

Knowledge Base Article

maps to

Gorgias

Article

1:1
Fully supported

Deskpro Articles map to Gorgias Articles. Article body content, author, publish status, and multilingual variants migrate. Articles linked to a Deskpro Folder/Section are assigned to the corresponding Gorgias Category. Inline images in article bodies are downloaded to a staging bucket and re-uploaded to Gorgias media storage with URLs updated in the article body.

Deskpro

Custom Ticket Field

maps to

Gorgias

Custom Ticket Field

1:1
Fully supported

Deskpro custom fields on tickets require schema discovery via the reports API (custom field prefix query) because field definitions are not exposed in standard export endpoints. We capture field ID, type, label, and all values during discovery, then create equivalent custom fields in Gorgias via Settings before import. Field types (string, number, boolean, date, dropdown) are mapped to Gorgias custom field types by closest match.

Deskpro

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Deskpro ticket tags are a flat labeling system that maps directly to Gorgias Tags. We preserve tag assignments on every imported ticket and create the destination tag vocabulary during import to match Deskpro's naming. Tags used for status or category purposes are noted for the customer to review; Gorgias Tags have no hierarchy.

Deskpro

Attachment

maps to

Gorgias

Attachment

1:1
Fully supported

File attachments on tickets are supported. We download attachments from Deskpro to a staging bucket, then upload to Gorgias using its file storage mechanism. Attachments are linked to the corresponding ticket at the destination. Very large files (over 25 MB) are flagged because Gorgias has attachment size limits that depend on the plan tier.

Deskpro

Workflow / Automation

maps to

Gorgias

Rule / Macro (documentation only)

lossy
Fully supported

Deskpro automations (triggers, workflows, SLA rules) are not transferable to Gorgias due to differing automation engines. We deliver a written inventory of every active Deskpro automation with its trigger, conditions, actions, and a recommended Gorgias Rule or Macro equivalent. The customer's admin rebuilds automations in Gorgias using the inventory as a specification. This applies to SLA rules, ticket routing rules, and notification triggers.

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.

Deskpro logo

Deskpro gotchas

Medium

Stat Builder ticket export hard-caps at 2500 records per query

High

On-premise to cloud migration can fail due to incompatible features

Medium

Custom fields on tickets require schema discovery before mapping

Low

Rate limiting on Help Center API endpoints can throttle bulk reads

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Stat Builder ticket export hard-caps at 2,500 records per query

    Deskpro's built-in Stat Builder enforces a 2,500-record limit per report query to prevent system overload. Large ticket histories require multiple paginated queries using ticket ID range constraints (e.g., tickets.id between 1 and 2500, then 2501 and 5001). We implement this chunking automatically during export scoping, but the customer must confirm all historical ticket IDs are sequential or that gaps in the ID range are acceptable to leave unmigrated. Gaps caused by deleted tickets are common in older Deskpro instances.

  • Peoples and Organizations must resolve to a single Customer record in Gorgias

    Deskpro stores individuals (Peoples) and companies (Organizations) as separate objects with a lookup relationship between them. Gorgias has one unified Customer object. During migration we must decide whether a Deskpro Person with an Organization linkage becomes a single Gorgias Customer with an organization field, or whether to create a separate organization record in Gorgias and link customers to it. If the customer has hundreds of Organizations, the org-as-customer approach creates a large number of top-level customers that may affect reporting. We validate the strategy with the customer during scoping.

  • Knowledge Base Folder/Section hierarchy collapses to a single level

    Deskpro organizes Knowledge Base articles in a two-tier hierarchy: Folders contain Sections, and Sections contain Articles. Gorgias uses a single-level Category structure with no Section equivalent. We flatten Deskpro Sections into their parent Folder at the destination, which means the Section name is not preserved as a separate organizational level. Customers who rely on the Section level for editorial governance or knowledge base navigation must redesign their taxonomy in Gorgias or use tags as a secondary organizational layer.

  • On-premise Deskpro requires pre-migration feature audit before export

    Official Deskpro documentation states that migrating from on-premise to cloud can fail when incompatible features are still active or when the database encryption key is not provided. We require a pre-migration feature audit on on-premise Deskpro instances: any feature not available in the cloud tier must be disabled before export begins. We request the encryption key upfront during scoping, store it securely for the duration of the migration, and verify feature compatibility before initiating any API reads.

  • Custom ticket fields require schema discovery before mapping

    Deskpro supports custom fields on both tickets and articles, but field definitions are not exposed in the standard export endpoints. We discover custom field schemas by querying the reports API with a custom field prefix, capturing field IDs, types, and label names. Without this step, custom field data migrates as plain text into the first standard field, causing data loss. The discovery step adds a half-day to scoping for instances with more than 20 custom fields.

Migration approach

Six steps for a successful Deskpro to Gorgias data migration

  1. Discovery and platform audit

    We audit the source Deskpro instance across deployment type (cloud or on-premise), ticket volume, custom field count, Knowledge Base article and folder structure, agent count and department assignments, active workflow and SLA rule count, and attachment volume and average file size. For on-premise instances, we initiate the feature compatibility audit and request the database encryption key. The discovery output is a written migration scope, a Knowledge Base flattening strategy, a Customer model decision (org-as-customer or separate Organization records), and a pre-migration checklist for the customer to complete.

  2. Schema discovery and custom field extraction

    We query the Deskpro reports API with the custom field prefix to extract every custom ticket and article field definition, capturing field ID, type, label, and any validation rules. We create equivalent custom fields in Gorgias via Settings before any data import begins. We also extract the Knowledge Base folder and section structure to plan the category flattening. For large ticket archives, we run paginated Stat Builder exports across 2,500-record ID-range chunks and validate complete coverage before proceeding.

  3. Sample migration and reconciliation

    We run a sample migration using a subset of data (typically 100-500 tickets, 50 customers, 20 articles) into the customer's Gorgias instance. The customer reviews the reconciled records, validates field mapping accuracy, confirms the Knowledge Base category structure, and approves the tag vocabulary. Any mapping corrections happen at this stage. We do not proceed to full migration until the customer signs off on the sample output.

  4. Agent and department provisioning

    We extract every distinct Deskpro Agent and their department affiliations. Agents are created or matched in Gorgias by email. Department assignments are translated to Gorgias Teams. Any Deskpro agent without a matching Gorgias user goes to a reconciliation queue for the customer's admin to provision before record import resumes. Migration cannot proceed past this step because ticket ownership requires a valid Gorgias agent reference.

  5. Full migration in dependency order

    We run full migration in record-dependency order: Teams (from Deskpro Departments), Customers (from Deskpro Peoples with Organization linkage resolved), Agents (validated), Knowledge Base Categories and Articles (from Deskpro Folders and Articles), Tickets (with custom field values and tag assignments), and Attachments (staged, uploaded, and linked to tickets). Each phase emits a row-count reconciliation report before the next phase begins. New tickets created in Deskpro during migration are captured in a delta pass before cutover.

  6. Cutover, validation, and automation handoff

    We freeze Deskpro writes during cutover, run a final delta migration of any records modified during the migration window, then enable Gorgias as the system of record. We deliver the Workflow and SLA rule inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's support team. We do not rebuild Deskpro automations as Gorgias Rules or Macros inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Deskpro logo

Deskpro

Source

Strengths

  • Cloud, on-premise, and AWS VPC-private deployment options give regulated industries deployment flexibility
  • Deep workflow and trigger customization without requiring developer resources or code
  • AI-assisted features (triage, response suggestions, chatbot) built directly into the platform
  • Multi-channel inbox unifies email, chat, social, and web forms into a single agent view
  • Per-user pricing with no per-ticket fees makes high-volume support teams predictable to budget

Weaknesses

  • The agent-facing UI is frequently described as visually dated and less polished than competitors like Zendesk
  • G2 reviewers report intermittent reliability issues including search errors and app crashes
  • Advanced reporting and analytics are less mature than enterprise-focused alternatives
  • Smaller ecosystem of third-party integrations compared to market leaders
  • On-premise to cloud migration requires manual compatibility review of existing feature usage
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Deskpro and Gorgias.

  • Object compatibility

    C

    3 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

    Deskpro: Configurable per action in Admin > Data > Security; not publicly documented in requests-per-minute terms.

  • Data volume sensitivity

    B

    Deskpro doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Deskpro to Gorgias 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 Deskpro to Gorgias data migrations

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

Can't find your answer?

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Most migrations land between one and three weeks for accounts under 50,000 tickets and 5,000 knowledge base articles with no on-premise deployment. Migrations with large historical ticket archives requiring Stat Builder pagination, on-premise Deskpro requiring feature audit and encryption key handling, or more than 20 custom ticket fields move to four to eight weeks. The pre-migration audit for on-premise instances adds a three-to-five day discovery phase before export begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Deskpro.
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