Helpdesk migration

Migrate from Deepser to Freshdesk

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

Deepser logo

Deepser

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

78%

7 of 9

objects map 1:1 between Deepser and Freshdesk.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Deepser logo

Deepser

What's pushing teams away

  • Deepser's native integrations are limited to Teams, NinjaOne RMM, and Datto RMM; teams with broad CRM or ITSM ecosystem needs find the app-connector library too thin.
  • Small partner ecosystem and limited consulting resources mean implementation and post-go-live support rely heavily on internal IT staff.
  • Grid export is the primary data egress path; teams expecting a documented public REST API for automated exports or integrations find the tooling gaps a blocker to scaling operations.

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Deepser objects map to Freshdesk

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

maps to

Freshdesk

Ticket

1:1
Fully supported

Deepser 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

maps to

Freshdesk

Ticket (custom type field)

1:1
Fully supported

Deepser 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

maps to

Freshdesk

Contact

1:1
Fully supported

Deepser 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

maps to

Freshdesk

Company

1:1
Fully supported

Deepser 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

maps to

Freshdesk

Asset

1:1
Fully supported

Deepser 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

maps to

Freshdesk

Agent

1:1
Fully supported

Deepser 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)

maps to

Freshdesk

Custom Ticket Fields

lossy
Fully supported

Deepser 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

maps to

Freshdesk

Solutions

1:1
Mapping required

Deepser 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

maps to

Freshdesk

Custom Objects or Ticket Fields

lossy
Fully supported

Deepser 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.

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.

Deepser logo

Deepser gotchas

Medium

Minimum 3-agent seat requirement affects pricing scoping

High

No public REST API for automated data extraction

Medium

Report and dashboard definitions are not exportable

Medium

ITIL Workflow step types require explicit destination mapping

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Deepser grid export may silently truncate datasets

    Deepser has no REST API, so all data egress occurs through the grid-based XLSX/CSV export filtered by whatever view is active at export time. We advise customers to clear all filters, confirm the full dataset scope across Service Requests, Change Requests, Customers, Companies, and IT Assets before any export, and validate row counts against the in-app record counts. Large datasets spanning multiple modules may require multiple export passes that we reconcile in the staging environment. Any silent truncation at export time compounds through the rest of the migration.

  • ITIL workflow step types require manual rebuild in Freshdesk

    Deepser workflows encode ITIL-aligned approval gates, automated tasks, and conditional routing triggers that carry operational logic tied to the Deepser ticket model. Freshdesk automations use a different trigger and action model without native ITIL approval chain constructs. We flag every Deepser workflow step type during scoping, document the trigger, conditions, actions, and recommended Freshdesk automation equivalent, and deliver this as a written handoff document. The customer's admin rebuilds automations post-migration. We do not migrate workflows as code.

  • Knowledge base visibility requires explicit Freshdesk configuration

    Deepser articles can be set as internal or customer-facing. Freshdesk Solutions articles have separate portal visibility controls that default to the category-level setting. A migration that carries Deepser internal articles into Freshdesk without adjusting visibility settings may inadvertently publish them to the customer portal. We flag every article's visibility during migration staging and recommend the Freshdesk category setting or per-article visibility adjustment before publishing.

  • Freshdesk API rate limits cap import throughput by plan

    Freshdesk enforces per-plan API rate limits (Growth 200/min, Pro 400/min, Enterprise 700/min) with per-endpoint sub-limits. For large ticket migrations, we use Freshdesk's bulk import endpoint where available and implement exponential backoff with chunking for record-by-record API writes. Custom apps in the Freshdesk instance also consume API calls, which can reduce available headroom. We monitor call consumption and throttle the migration job to stay within plan limits.

Migration approach

Six steps for a successful Deepser to Freshdesk data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Deepser logo

Deepser

Source

Strengths

  • Combines ITSM ticketing and ITAM asset tracking in a single subscription without requiring a second tool.
  • Grid-based export to XLSX or CSV works across all modules, giving customers a consistent data-out mechanism.
  • ITIL-aligned workflow engine standardizes change and service request routing across the organization.
  • Per-agent pricing model with volume discounts provides cost predictability as team size grows.
  • Multilingual interface (English, Italian, Spanish, German) supports multinational IT departments.

Weaknesses

  • Native third-party integrations are limited to Teams, NinjaOne RMM, and Datto RMM, restricting ecosystem connectivity.
  • No publicly documented REST API means automated data extraction relies on grid export, limiting migration flexibility.
  • Small partner ecosystem and limited consulting resources increase reliance on internal IT staff for implementation and troubleshooting.
  • Report and dashboard definitions are not exportable, requiring manual rebuild in the destination system.
  • Billing recalculation logic and billing object schemas differ from standard CRM billing models, requiring custom field-level mapping.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

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

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Deepser and Freshdesk.

  • Object compatibility

    B

    1 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

    Deepser: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Deepser to Freshdesk 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 Deepser to Freshdesk data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 tickets, 3,000 contacts, and no IT asset module or custom objects. Migrations with IT asset migration, large multi-module Deepser installations spanning service requests, change requests, and billing records, or extensive custom field schemas move to six to ten weeks because of export reconciliation, schema mapping, and custom object configuration in Freshdesk.

Adjacent paths

Related migrations to explore

Ready when you are

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