Migrate your Deskpro data
Flexible helpdesk platform with cloud and on-premise deployment options, strong customization, and a recent push into AI-assisted support with private deployment for regulated industries.
In its favor
Why people choose Deskpro
The signal that keeps Deskpro on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Organizations appreciate the ability to choose between cloud-hosted and fully on-premise deployment, particularly for regulated industries requiring data sovereignty
The platform's deep customization allows teams to configure workflows, triggers, white labeling, and user roles without developer involvement
Deskpro AI features—automated triage, response suggestions, and a self-service chatbot—integrate across channels without requiring a separate AI vendor
Multi-region cloud availability (US, EU, UK) with AWS Marketplace listing gives enterprise teams geographic control over their data residency
Both Capterra and G2 reviewers consistently rate Deskpro's customer support at 4.7 out of 5, citing responsive and knowledgeable assistance
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
Reasons to switch
Why people leave Deskpro
The recurring reasons buyers give for replacing Deskpro. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Deskpro fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Deskpro pricing overview
Deskpro uses per-agent per-month pricing across three cloud tiers ranging from $39 to $99 per user, with no per-ticket fees making high-volume support teams predictable to budget. On-premise and Private (AWS VPC) deployments are priced via custom enterprise contracts. A free trial is available but there is no permanent free tier.
Team (Cloud)
Tier 1 of 4
$39/user/month
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Deskpro's schedule — see our quote-based pricing →
What gets migrated
Deskpro object support
Object-by-object support for Deskpro migrations. Per-pair details surface during scoping.
Tickets
Fully supportedTickets are the primary support object with a well-documented REST API and Stat Builder export path. Stat Builder queries are capped at 2500 records per run; we paginate using ticket ID ranges for large datasets. Custom fields on tickets are supported via the reports API and require field-level mapping to the destination schema.
Agents
Fully supportedAgents represent support staff with role-based permissions. We map agent records including department assignments, language preferences, and user-level settings. Agent-to-user ownership on tickets is preserved by ID mapping during import.
Organizations
Fully supportedOrganizations are separate from individual contact records (Peoples) in Deskpro's data model. We preserve the organization-contact hierarchy so related customer records are grouped correctly at the destination.
Peoples
Mapping requiredPeoples represent individual end-users or customers. Deskpro distinguishes Peoples from Organizations as distinct objects. We map Peoples to the destination CRM's Contact or Customer object, preserving email, name, and custom properties. Any custom fields require explicit value mapping.
Knowledge Base Articles
Fully supportedArticles are the content units in Deskpro's Knowledge Base. We preserve article body content, publish status, author attribution, and multilingual variants. Articles are linked to parent Folders/Sections, so we preserve the folder hierarchy during import.
Knowledge Base Folders
Fully supportedDeskpro organizes articles into Folders (called Sections in some systems). We map Folders to the destination's category or section structure. Folder-level permissions, if configured, are noted and flagged for manual reapplication if the destination does not support equivalent ACLs.
Knowledge Base Categories
Mapping requiredCategories sit above Folders as a top-level organizational layer. Not all destination platforms have an equivalent two-tier hierarchy. We collapse categories into Folders when the destination only supports one level, preserving all content.
Custom Ticket Fields
Mapping requiredCustom fields are available on Tickets and Articles. The schema is accessible via the reports API. We export the full custom field definitions, map them to destination fields by type and name, and flag any unsupported field types (e.g., multi-select picklists without equivalent) for manual review.
Attachments
Mapping requiredFile attachments on tickets are supported but require careful handling. We download attachments to a staging bucket, then upload to the destination using its native file storage mechanism. Very large attachments may require chunked transfer; we flag files over 50 MB for pre-migration review.
Workflows
Mapping requiredDeskpro automations (triggers, workflows, SLA rules) are not directly transferable between platforms due to differing automation engines. We document the active workflow logic as a CSV specification so the customer's admin can rebuild equivalent rules in the destination system.
Tags
Fully supportedTags are a flat labeling system applied to tickets. We preserve tag assignments on every imported ticket. The destination tag vocabulary is created during import to match Deskpro's naming.
Departments
Fully supportedDepartments organize agents and tickets within Deskpro. We map department records and reassign agent affiliations to maintain team-based routing post-migration.
| Object | Support | Notes |
|---|---|---|
| Tickets | Fully supported | Tickets are the primary support object with a well-documented REST API and Stat Builder export path. Stat Builder queries are capped at 2500 records per run; we paginate using ticket ID ranges for large datasets. Custom fields on tickets are supported via the reports API and require field-level mapping to the destination schema. |
| Agents | Fully supported | Agents represent support staff with role-based permissions. We map agent records including department assignments, language preferences, and user-level settings. Agent-to-user ownership on tickets is preserved by ID mapping during import. |
| Organizations | Fully supported | Organizations are separate from individual contact records (Peoples) in Deskpro's data model. We preserve the organization-contact hierarchy so related customer records are grouped correctly at the destination. |
| Peoples | Mapping required | Peoples represent individual end-users or customers. Deskpro distinguishes Peoples from Organizations as distinct objects. We map Peoples to the destination CRM's Contact or Customer object, preserving email, name, and custom properties. Any custom fields require explicit value mapping. |
| Knowledge Base Articles | Fully supported | Articles are the content units in Deskpro's Knowledge Base. We preserve article body content, publish status, author attribution, and multilingual variants. Articles are linked to parent Folders/Sections, so we preserve the folder hierarchy during import. |
| Knowledge Base Folders | Fully supported | Deskpro organizes articles into Folders (called Sections in some systems). We map Folders to the destination's category or section structure. Folder-level permissions, if configured, are noted and flagged for manual reapplication if the destination does not support equivalent ACLs. |
| Knowledge Base Categories | Mapping required | Categories sit above Folders as a top-level organizational layer. Not all destination platforms have an equivalent two-tier hierarchy. We collapse categories into Folders when the destination only supports one level, preserving all content. |
| Custom Ticket Fields | Mapping required | Custom fields are available on Tickets and Articles. The schema is accessible via the reports API. We export the full custom field definitions, map them to destination fields by type and name, and flag any unsupported field types (e.g., multi-select picklists without equivalent) for manual review. |
| Attachments | Mapping required | File attachments on tickets are supported but require careful handling. We download attachments to a staging bucket, then upload to the destination using its native file storage mechanism. Very large attachments may require chunked transfer; we flag files over 50 MB for pre-migration review. |
| Workflows | Mapping required | Deskpro automations (triggers, workflows, SLA rules) are not directly transferable between platforms due to differing automation engines. We document the active workflow logic as a CSV specification so the customer's admin can rebuild equivalent rules in the destination system. |
| Tags | Fully supported | Tags are a flat labeling system applied to tickets. We preserve tag assignments on every imported ticket. The destination tag vocabulary is created during import to match Deskpro's naming. |
| Departments | Fully supported | Departments organize agents and tickets within Deskpro. We map department records and reassign agent affiliations to maintain team-based routing post-migration. |
Gotchas
What to watch for in Deskpro migrations
Issues we've hit on past Deskpro migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Stat Builder ticket export hard-caps at 2500 records per query
On-premise to cloud migration can fail due to incompatible features
Custom fields on tickets require schema discovery before mapping
Rate limiting on Help Center API endpoints can throttle bulk reads
| Severity | Issue |
|---|---|
| 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 |
Leaving Deskpro?
Where Deskpro customers move next
7 destinations Deskpro can migrate to.
How a Deskpro migration works
Four steps, Deskpro-specific
Connect
API key (per-agent or global admin token) into Deskpro. Scopes limited to read-only on the data we move.
Map
We translate Deskpro-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Deskpro quirks before production.
Migrate
Full migration with Deskpro rate-limit handling. Rollback available throughout.
FAQ
Deskpro migration FAQ
Answers to the questions buyers ask most during Deskpro migration scoping. Not seeing yours? Book a call.
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