Helpdesk migration

Migrate from DeskDay to Freshdesk

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

DeskDay logo

DeskDay

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

90%

9 of 10

objects map 1:1 between DeskDay and Freshdesk.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from DeskDay to Freshdesk means restructuring a chat-native ticket model into Freshdesk's threaded conversation structure. DeskDay stores tickets as conversational threads with a flat message array, while Freshdesk separates ticket metadata from conversation records using distinct conversation-type endpoints. We parse DeskDay's thread structure during extraction, split messages into Freshdesk's reply and note types, and re-associate them with the correct ticket at import. End-user contacts and MSP client organizations map to Freshdesk Contacts and Companies respectively. Agent records, team assignments, and SLA policies migrate as configuration records. We flag DeskDay's custom ticket fields and IT-Connect portal associations for manual verification post-import because the custom field schema is still evolving on DeskDay and Freshdesk's portal theming follows different plan-gating logic. Workflows and automations do not migrate; we deliver a written inventory of these for your admin to rebuild in Freshdesk's automation framework.

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

DeskDay logo

DeskDay

What's pushing teams away

  • Platform is young—founded in 2022 with approximately 25 employees—raising concerns about long-term vendor stability and support capacity as customer accounts scale.
  • G2 has only 3 verified reviews (4.7 rating), making independent validation of product claims difficult compared to established competitors with hundreds of reviews.
  • Limited public API documentation as of early 2026 means MSPs with complex custom workflows may hit integration barriers that require workarounds or manual processes.
  • Feature parity with mature PSA platforms is still being established; some ITSM capabilities like advanced SLA configurations and multi-region data residency are on the 2026 roadmap rather than available today.

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 DeskDay objects map to Freshdesk

Each row shows how a DeskDay 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.

DeskDay

Tickets

maps to

Freshdesk

Ticket + Conversation

1:many
Fully supported

DeskDay stores tickets as conversational threads with a flat message array. Freshdesk separates ticket metadata (subject, status, priority, requester, assignee) from conversation records (reply, note, rating). We parse each DeskDay thread during extraction, split messages into Freshdesk conversation types based on internal flags (agent responses become reply, internal notes become note), and write them to Freshdesk's /conversations endpoint after the parent ticket is created. Thread ordering is preserved using Freshdesk's created_at timestamp.

DeskDay

Customers (End Users)

maps to

Freshdesk

Contact

1:1
Fully supported

DeskDay end-user contact records migrate to Freshdesk Contacts with full name, email, phone, and address preserved. We map the DeskDay company association to Freshdesk's company_id field after resolving the target Company record. Contact deduplication uses email as the unique key with a pre-check against existing Freshdesk contacts.

DeskDay

Client Organizations (MSP Clients)

maps to

Freshdesk

Company

1:1
Fully supported

DeskDay's MSP client organizations map to Freshdesk Companies. The organization name, SLA tier, and any custom SLA mapping fields migrate as Company custom fields. Each Company is created before Contact migration so the company_id lookup is satisfied at the moment of Contact insert. Service tier or SLA association from DeskDay becomes a Freshdesk custom field rather than a native SLA policy assignment.

DeskDay

Agents / Technicians

maps to

Freshdesk

Agent

1:1
Fully supported

DeskDay agent records migrate to Freshdesk Agents with name, email, and role preserved. Team assignments from DeskDay map to Freshdesk Groups, and we preserve the group_id reference so ticket assignments resolve correctly after migration. Any agent without a matching Freshdesk user account goes to a reconciliation queue for the customer's admin to provision before record import resumes.

DeskDay

Teams

maps to

Freshdesk

Group

1:1
Fully supported

DeskDay team structures map directly to Freshdesk Groups. We preserve team names, descriptions, and membership (agent-to-group assignments) so ticket routing rules that reference groups resolve correctly in Freshdesk. Group creation happens before agent migration to satisfy group_id references.

DeskDay

Custom Ticket Fields

maps to

Freshdesk

Custom Ticket Fields

1:1
Mapping required

DeskDay custom ticket fields migrate as Freshdesk custom ticket fields. We extract the field definitions from DeskDay, map field types to Freshdesk equivalents (text, number, date, dropdown, checkbox), and create the destination field schema before any ticket records import. Any DeskDay custom field without a direct Freshdesk type equivalent is flagged for manual verification and mapped to a text field with a note in the migration manifest.

DeskDay

Tags

maps to

Freshdesk

Tags

1:1
Fully supported

Tags applied to DeskDay tickets migrate as Freshdesk ticket tags. We preserve tag names as flat string arrays on the Freshdesk ticket record. Tag taxonomy (if organized into categories in DeskDay) does not migrate as a hierarchical structure because Freshdesk supports flat tag lists only.

DeskDay

Attachments

maps to

Freshdesk

Attachments

1:1
Mapping required

DeskDay stores file attachments on tickets using internal cloud URLs that are not portable between platforms. We download all ticket attachments to local storage, re-upload them to Freshdesk's attachment endpoint, and update the conversation record with the new Freshdesk attachment reference. This adds processing time proportional to total attachment volume. We recommend planning attachment-heavy migrations with additional timeline buffer.

DeskDay

SLA Policies

maps to

Freshdesk

SLA Policies

1:1
Mapping required

DeskDay SLA configurations migrate as Freshdesk SLA Policies. The SLA name, applicable hours (business hours definition), and escalation targets transfer to Freshdesk's SLA policy structure. SLA targets tied to DeskDay custom date fields require field remapping to Freshdesk custom fields in the destination schema before SLA policy creation. Any DeskDay SLA using features not yet available in Freshdesk is flagged with a note for the customer's admin to review.

DeskDay

Knowledge Base Articles

maps to

Freshdesk

Articles

1:1
Mapping required

DeskDay Knowledge Base articles migrate to Freshdesk Solutions articles. Article title, content, category assignments, and publication status transfer. Article view counts, feedback ratings, and internal publication metadata from DeskDay may require manual verification post-import because these metadata fields vary in how platforms expose them. Freshdesk Solutions sections are created before article migration to satisfy section_id references.

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.

DeskDay logo

DeskDay gotchas

Medium

Onboarding fee differs by plan tier

Medium

Attachment storage requires URL remapping

Low

IT-Connect portal settings are plan-gated

Low

Platform maturity creates support risk

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

  • DeskDay thread structure requires conversation split in Freshdesk

    DeskDay tickets store messages as a flat conversational array, while Freshdesk separates ticket metadata from conversation records. Agent responses, customer replies, and internal notes must be categorized and written to Freshdesk's reply and note conversation types. Skipping this split results in Freshdesk tickets with no visible conversation history despite the source data existing in DeskDay. We handle the thread parsing and conversation-type classification during extraction so tickets arrive in Freshdesk with full threaded history intact.

  • Freshdesk API rate limits are plan-gated and per-minute

    Freshdesk enforces per-minute rate limits that vary by plan tier: Growth at 200 calls per minute, Pro at 400, Enterprise at 700. Per-endpoint sub-limits further constrain the Tickets List and Contacts List endpoints to lower counts even on higher-tier plans. We throttle API writes to stay within these limits using exponential backoff on 429 responses. Migrations exceeding the plan's rate limit without throttling will stall or fail mid-import.

  • DeskDay attachment URLs are not portable between platforms

    DeskDay stores file attachments using internal cloud URLs referencing its own storage infrastructure. These URLs do not resolve after migration to Freshdesk. We download all attachments from DeskDay, re-upload them to Freshdesk's attachment storage, and update the conversation record with the new attachment reference. This process adds time proportional to total attachment volume and must be factored into the migration timeline estimate.

  • Custom ticket field schema is still evolving on DeskDay

    DeskDay's custom ticket field schema has not yet stabilized as of early 2026, which means field definitions may change between the discovery phase and the migration execution phase. We snapshot the custom field schema at discovery, validate it again before extraction, and flag any changes that would require remapping. The customer admin should freeze custom field additions on DeskDay during the final weeks before migration to minimize schema drift risk.

Migration approach

Six steps for a successful DeskDay to Freshdesk data migration

  1. Discovery and API audit

    We audit the DeskDay portal to extract record counts across tickets, contacts, client organizations, agents, teams, tags, and custom ticket fields. We identify attachment volume and average thread length per ticket to estimate conversation splitting work. We verify the current custom ticket field schema against DeskDay's field definitions and flag any fields with undocumented types. We also confirm the Freshdesk destination plan tier to determine the applicable API rate limits and whether custom objects are available.

  2. Schema creation in Freshdesk

    We create the destination schema in Freshdesk before any data import. This includes provisioning custom ticket fields (matched to DeskDay field types), creating Freshdesk Groups for each DeskDay team, configuring SLA Policies using DeskDay's SLA configuration as the source, and creating Freshdesk Solutions sections for Knowledge Base migration. We deploy the schema into a Freshdesk test environment first for validation before production migration.

  3. Data extraction from DeskDay

    We extract all records from DeskDay using its available API endpoints. Tickets are extracted with full thread history, including message content, timestamps, author type (agent, customer, system), and conversation type flags. Contacts and client organizations are extracted with full field sets. Agent records and team memberships are extracted for reconciliation. Attachments are downloaded to staging storage for re-upload. We flag any record that cannot be retrieved due to API limitations for manual export handling.

  4. Thread parsing and conversation classification

    We process the extracted ticket threads to classify each message as a Freshdesk reply (customer-initiated or agent-initiated external response) or note (internal comment). Thread ordering is preserved using timestamps. The conversation classification is written to the migration transform layer before import. This step is the primary source of migration time variance for high-volume ticket accounts.

  5. Production import with rate-limit handling

    We import data into Freshdesk in dependency order: Groups first, then Companies, then Contacts, then Agents, then SLA Policies, then Tickets with conversation history. We use the Freshdesk REST API with exponential backoff on rate-limit responses and batch chunking to stay within per-minute limits. Attachments are uploaded after the parent conversation record exists. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation inventory handoff

    We freeze DeskDay writes during cutover, run a delta migration of any records modified during the final migration window, then enable Freshdesk as the system of record. We deliver a written inventory of DeskDay workflows and automations for the customer's admin to rebuild in Freshdesk's automation framework. We do not migrate workflows, sequences, or automations as code. We support a post-migration validation window where we resolve reconciliation issues raised by the support team.

Platform deep dives

Context on both ends of the pair

DeskDay logo

DeskDay

Source

Strengths

  • All-in-one ITSM + PSA design removes the need to stitch together separate ticketing, billing, and automation tools for MSP delivery.
  • Two straightforward plans (Standard and Enterprise) with all PSA features unlocked except white-label branding, simplifying MSP procurement and client billing structures.
  • Built specifically for MSPs by an MSP partner with over a decade of experience, resulting in workflow assumptions aligned to MSP delivery models rather than generic IT departments.
  • AI agents and advanced automation capabilities on the 2026 roadmap show continued investment in reducing manual technician workload.

Weaknesses

  • Founded in 2022 with a small team of approximately 25 employees, which may limit support capacity as the customer base grows and creates risk for long-term platform stability.
  • Limited public API documentation as of early 2026 restricts MSPs with custom integration needs from automating workflows or syncing data with external systems.
  • Only 3 verified G2 reviews as of early 2026 makes independent product validation difficult compared to competitors with established review profiles.
  • Some key enterprise features—EU data residency, ISO 27701 compliance, and full asset management—remain on the 2026 roadmap rather than available today.
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 DeskDay 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

    DeskDay: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your DeskDay 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 DeskDay to Freshdesk data migrations

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

Can't find your answer?

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Most migrations land between two and three weeks for accounts under 10,000 tickets and 2,000 contacts with straightforward SLA configurations. Migrations with high attachment volumes, complex SLA policy structures, or multiple MSP client organizations with tiered SLA assignments move to five to eight weeks because of conversation thread restructuring and per-record validation. We confirm the timeline estimate after discovery based on actual record counts and attachment volume.

Adjacent paths

Related migrations to explore

Ready when you are

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