Helpdesk migration
Field-level mapping, validation, and rollback between Deepser and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Deepser
Source
Freshdesk
Destination
Compatibility
7 of 9
objects map 1:1 between Deepser and Freshdesk.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Deepser to Freshdesk is a cross-platform migration that requires transforming Deepser's grid-based XLSX/CSV export into Freshdesk's REST API import payloads. Deepser has no documented public REST API, so all data egress happens through filtered grid views that must be cleared and confirmed as full-dataset exports before migration begins. We map Deepser's Service Request and Change Request tickets to Freshdesk Tickets, preserve Deepser's Customer and Company hierarchy as Freshdesk Contacts and Companies, and carry IT Asset records into Freshdesk's asset management module where available on the destination plan. ITIL-aligned workflows, SLA records, and approval gates do not migrate as code; we deliver a written inventory of every workflow step type with a Freshdesk automation equivalent recommendation. Reports and dashboards also do not migrate because Deepser stores no exportable definition format; we provide the underlying data so the Freshdesk team can rebuild the visualizations. Custom field schemas discovered during scoping carry into Freshdesk custom ticket fields and custom objects on applicable plans.
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 Deepser object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Deepser
Service Request
Freshdesk
Ticket
1:1Deepser Service Requests map to Freshdesk Tickets with a 1:1 field mapping across priority, status, category, assigned agent, requester customer, and timestamps. We preserve the original Deepser ticket ID as a custom field deepser_ticket_id__c for audit traceability. The mapping carries over Deepser's category and subcategory values as Freshdesk ticket custom fields because Freshdesk uses a different taxonomy structure.
Deepser
Change Request
Freshdesk
Ticket (custom type field)
1:1Deepser Change Requests carry a change-type classification (Standard, Minor, Major, Emergency) not native to Freshdesk. We map Change Requests to Freshdesk Tickets and add a custom field change_type__c (single-select picklist) carrying the original Deepser value. Approval gate status from Deepser maps to a separate custom field approval_status__c so the migration history is preserved for audit purposes.
Deepser
Customer
Freshdesk
Contact
1:1Deepser Customers map directly to Freshdesk Contacts. We preserve name, email, phone, company association, and any custom fields defined on the Deepser Customer module. Deepser's company link carries into Freshdesk as the Contact's company relationship. If Deepser uses a company-level contact model, we create a Freshdesk Company first and link the Contact to it.
Deepser
Company
Freshdesk
Company
1:1Deepser Company records map to Freshdesk Company. We preserve company name, domain, and any custom fields. The company hierarchy that tickets reference in Deepser carries as the parent-company relationship in Freshdesk Companies. We deduplicate by company name during staging to avoid duplicate organizations.
Deepser
IT Asset
Freshdesk
Asset
1:1Deepser IT Assets (hardware and software with serial number, type, location, assigned user, and lifecycle status) map to Freshdesk Assets. Freshdesk's asset module is available on Estate, Forest, Pro, and Enterprise plans. Asset types and custom properties vary per Deepser installation, so we discover the full custom field schema during scoping and create matching Freshdesk asset custom fields before migration. Lifecycle status values carry as a custom picklist field if Freshdesk's standard lifecycle field does not cover the source taxonomy.
Deepser
Agent
Freshdesk
Agent
1:1Deepser Agent records (name, email, role, team, active/inactive status) map to Freshdesk Agents. We resolve Deepser agent email addresses against Freshdesk agent provisioning. Deepser requires a minimum of 3 agents, but Freshdesk supports a free Sprout plan for small teams, so we map active/inactive status explicitly and recommend which Deepser agents become Freshdesk agents versus being archived post-migration.
Deepser
Custom Fields (Ticket)
Freshdesk
Custom Ticket Fields
lossyDeepser Custom Fields defined on Service Requests and Change Requests map to Freshdesk custom ticket fields. We discover the full custom field schema per module during scoping, map field types (text, number, date, dropdown, multi-select) to Freshdesk equivalents, and pre-create the fields in Freshdesk before any ticket data loads. Deepser installation-specific field naming is preserved in the Freshdesk field label with a migration note in the field description.
Deepser
Knowledge Base Articles
Freshdesk
Solutions
1:1Deepser knowledge base articles (with category and attachment references) map to Freshdesk Solutions. We extract article content from grid export, resolve category mapping to Freshdesk solution categories, and flag visibility settings for explicit review before publishing. Articles with attachments carry the attachment references as migration notes; the actual file attachments require separate handling if stored in Deepser's file module.
Deepser
Billing Records
Freshdesk
Custom Objects or Ticket Fields
lossyDeepser billing modules (line items, worklogs, movements, operational records) linked to tickets carry IT service cost data that may not map directly to Freshdesk's helpdesk model. We map billing line items as custom fields or a custom object depending on the destination Freshdesk plan (Garden and above support custom objects). The customer chooses the strategy during scoping based on whether billing data is used for agent reporting or external invoicing.
| Deepser | Freshdesk | Compatibility | |
|---|---|---|---|
| Service Request | Ticket1:1 | Fully supported | |
| Change Request | Ticket (custom type field)1:1 | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| IT Asset | Asset1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Custom Fields (Ticket) | Custom Ticket Fieldslossy | Fully supported | |
| Knowledge Base Articles | Solutions1:1 | Mapping required | |
| Billing Records | Custom Objects or Ticket Fieldslossy | 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.
Deepser gotchas
Minimum 3-agent seat requirement affects pricing scoping
No public REST API for automated data extraction
Report and dashboard definitions are not exportable
ITIL Workflow step types require explicit destination mapping
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
Export scoping and filter audit
We work with the Deepser customer to identify every module requiring migration (Service Requests, Change Requests, Customers, Companies, IT Assets, Agents, Knowledge Base articles, and any custom field modules). We instruct the customer to clear all grid filters, set all views to full-dataset mode, and confirm the row count per module matches the in-app record count before exporting. We receive the exported XLSX/CSV files and validate each against the stated record counts to catch silent truncation before staging begins.
Freshdesk plan and schema review
We review the destination Freshdesk plan to confirm which features are available (asset management on Estate/Forest/Pro/Enterprise, custom objects on Garden and above). We map Deepser custom field schemas to Freshdesk custom ticket fields and custom objects, design the Freshdesk ticket type strategy (single Ticket object with change_type__c custom field), and configure the Freshdesk category taxonomy to receive Deepser category values. All Freshdesk configuration is validated in the destination account before data load begins.
Staging migration and reconciliation
We run a full migration into a Freshdesk staging environment using the exported Deepser data. We reconcile record counts per object (tickets in, contacts in, companies in, assets in), spot-check 25-50 records against the source files, and validate that custom field values and timestamps are preserved correctly. Any mapping corrections (field type mismatches, picklist value gaps, missing category mappings) are resolved in this phase. The customer reviews the staging output and signs off before production migration.
Agent provisioning and user mapping
We extract every Deepser Agent referenced on tickets and map them to Freshdesk Agent accounts by email. Deepser requires a minimum of 3 agents, but the customer may want fewer Freshdesk agents if some Deepser users are inactive or transition roles. We produce a user mapping document that the customer's Freshdesk admin reviews and approves, and we recommend disabling any Deepser agents who are not active in the destination.
Production migration in dependency order
We run the production migration in record dependency order: Companies first (so Contact company lookups resolve), then Contacts, then Agents, then Tickets (Service Requests and Change Requests with the change_type__c field), then IT Assets, then Knowledge Base articles, then any custom object billing records. Each phase emits a row-count reconciliation report. We use Freshdesk's REST API with rate-limit-aware chunking and backoff to stay within the plan's call limits.
Cutover, validation, and workflow handoff
We freeze Deepser writes during cutover, run a final delta migration of records modified during the migration window, and enable Freshdesk as the system of record. We deliver the ITIL workflow inventory document (step types, triggers, conditions, and Freshdesk automation equivalents) and the report/dashboard metrics reference to the customer's admin team for rebuild in Freshdesk reporting. We support a one-week hypercare window for reconciliation issues. Workflow rebuilds, automations, and Freshdesk reporting are outside the migration scope and handled separately.
Platform deep dives
Deepser
Source
Strengths
Weaknesses
Freshdesk
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 Deepser and Freshdesk.
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
Deepser: Not publicly documented.
Data volume sensitivity
Deepser 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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