Helpdesk migration
Field-level mapping, validation, and rollback between Dixa and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Dixa
Source
Freshdesk
Destination
Compatibility
9 of 10
objects map 1:1 between Dixa and Freshdesk.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Dixa to Freshdesk is a conversation-to-ticket remapping with three structural gaps that require explicit decisions before migration begins. Dixa Conversations carry auto-applied routing tags that reflect internal queue logic and customer priority; Freshdesk has no equivalent auto-routing taxonomy, so these tags require value mapping to Freshdesk labels or tags as a manual decision during scoping. Dixa's Exports API does not expose per-minute telephony billing records, so any voice history in scope must be sourced from a connected VoIP provider export before migration proceeds. Dixa's Workflow Automation and Intelligent Routing configurations are not accessible via API and must be recreated manually in Freshdesk after cutover. We sequence Conversations before Messages so that child message records carry a resolved parent conversation ID, preventing orphaned threads in Freshdesk. Agent-to-team assignments map to Freshdesk Agents and Groups, and we reconcile agent email lookups against the destination User table before record import begins.
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 Dixa 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.
Dixa
Conversation
Freshdesk
Ticket
1:1Dixa Conversations map directly to Freshdesk Tickets. Each Conversation carries a unique conversation_id that we use as the dedupe key during import, preventing duplicate tickets if the migration runs a trial before full cutover. Conversation status (open, pending, resolved, closed) maps to Freshdesk Ticket status values; if Dixa uses custom statuses, we create matching Freshdesk custom status options before migration. The original conversation_id is preserved in a custom field dla_original_conversation_id__c on the Freshdesk Ticket for audit trail.
Dixa
Message
Freshdesk
Ticket Notes (Reply/Public Note)
1:1Dixa Messages are children of Conversations and export separately via the Exports API with a parent conversation_id reference. We join Messages to Conversations during migration staging, then write them as Freshdesk Ticket conversations (Reply for agent-to-customer and Public Note for internal context). The message author and timestamp are preserved. If Dixa Messages contain internal notes versus customer-facing replies, we separate them into Freshdesk's internal_notes versus reply type.
Dixa
Customer
Freshdesk
Contact
1:1Dixa Customer profiles (including conversation history timeline, order history where integrated, and custom properties) map to Freshdesk Contact. The customer email address serves as the dedupe key. Any custom properties on the Dixa Customer profile are mapped to Freshdesk Contact custom fields, which we create before migration begins. Dixa customer priority flags require explicit mapping to Freshdesk Contact business fields or custom fields based on the customer's preferred representation.
Dixa
Agent
Freshdesk
Agent
1:1Dixa Agent records (name, email, presence status, role) map to Freshdesk Agent accounts. We resolve each Dixa agent by email against Freshdesk User accounts. Agents without matching Freshdesk User accounts are held in a reconciliation queue for the customer's admin to provision before record import resumes, because Freshdesk requires a valid Agent reference on Ticket creation.
Dixa
Team
Freshdesk
Group
1:1Dixa Teams are organizational units that group agents and own routing queues. Team names and structures export cleanly and map to Freshdesk Groups. Team-level SLA settings, operating hours, and queue configurations are Dixa-configured and not accessible via the Exports API; these are documented during scoping and recreated in Freshdesk as Group settings post-migration.
Dixa
Channel
Freshdesk
Ticket Source
lossyDixa unifies Phone, Email, Chat, Facebook Messenger, Instagram, Twitter, and WhatsApp as a channel field on each Conversation. Channel type maps to Freshdesk Ticket source (email, phone, chat, Facebook, Twitter, WhatsApp, marketplace). This mapping is explicit because Dixa stores channel as a single field value and Freshdesk uses an enumerated source field.
Dixa
Tag
Freshdesk
Tag or Label
1:1Dixa auto-tags every conversation for routing regardless of channel. These routing-intent tags reflect internal queue logic and customer priority, not external-facing labels. We map these to Freshdesk Tags but flag that auto-routing tags do not trigger Freshdesk automations without explicit rebuild. The customer reviews the full tag value inventory during scoping and decides which tags represent true customer categorization (worth migrating) versus internal routing metadata (flagged for rebuild). Tags that have no meaningful Freshdesk equivalent are noted in the migration inventory for manual post-migration cleanup.
Dixa
Custom Field (Conversation)
Freshdesk
Custom Ticket Field
1:1Custom fields on Dixa Conversations are available via CSV export and API. Field names and data types export cleanly; destination field creation and type mapping are coordinated before migration. Freshdesk supports dropdown, checkbox, date, numeric, and text custom ticket fields. Dixa field types map to Freshdesk equivalents; complex Dixa field types may require customer decision on how to represent in Freshdesk's simpler custom field model.
Dixa
Rating / CSAT
Freshdesk
Ticket CSAT
1:1Post-conversation CSAT ratings from Dixa export as rating score, submission timestamp, and linked conversation ID. We link the rating to the migrated Freshdesk Ticket using the preserved dla_original_conversation_id__c custom field. Ratings without a linked conversation record (orphaned) are flagged and reported separately for the customer's admin to resolve.
Dixa
Knowledge Base Article
Freshdesk
Solution Article
1:1Dixa Knowledge Base articles export as standalone objects with content, category, and metadata. We map articles to Freshdesk Solutions articles and map Dixa article categories to Freshdesk article categories or folders. Articles tied to Dixa routing automations are flagged because the routing context does not transfer; Freshdesk's article-to-ticket linking is manual or driven by Freshdesk's built-in Freddy AI if that feature is active.
| Dixa | Freshdesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| Message | Ticket Notes (Reply/Public Note)1:1 | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Team | Group1:1 | Fully supported | |
| Channel | Ticket Sourcelossy | Fully supported | |
| Tag | Tag or Label1:1 | Fully supported | |
| Custom Field (Conversation) | Custom Ticket Field1:1 | Fully supported | |
| Rating / CSAT | Ticket CSAT1:1 | Fully supported | |
| Knowledge Base Article | Solution Article1:1 | 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.
Dixa gotchas
Agent-based pricing with minimum seat count may inflate migration cost
Per-minute telephony records not exported via standard API
Auto-tag and routing-intent fields have no standard destination equivalents
API access gated behind Growth+ tiers with published overage price list
Workflow and routing rule logic is non-exportable via API
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
Discovery and scope definition
We audit the Dixa account across tier (Growth/Ultimate/Prime), conversation volume and age distribution, active tag inventory, custom field inventory, agent count, team structure, and whether voice history is in scope. We pair this with a Freshdesk tier assessment: Sprout (free up to 10 agents, API gated) covers small migrations; Blossom ($19/agent/month) unlocks the API and custom fields; higher tiers add advanced reporting and custom objects. The discovery output is a written migration scope, a Freshdesk tier recommendation, and an upfront confirmation of whether separate telephony exports are available for voice records.
Tag audit and routing-tag decision
We surface the full Dixa tag inventory and classify each tag as either a true categorization label (migrated to Freshdesk Tags) or an internal routing-intent tag (documented for Freshdesk automation rebuild). This decision is made with the customer's admin during the scoping call because there is no automated way to distinguish them in Dixa. We deliver a tag mapping table that specifies which Dixa tag values map to which Freshdesk Tags and which routing tags are flagged for rebuild.
Schema pre-creation in Freshdesk
We create all required Freshdesk objects before any data import: custom ticket fields (matched to Dixa custom fields by name and type), custom contact fields, Freshdesk Tags for migrated categorization labels, Groups matched to Dixa Teams, and any Custom Objects required. If the migration includes a Custom Objects schema with lookup relationships, we provision those in Freshdesk first so that lookup references resolve at import time. All schema is created in the customer's Freshdesk environment with admin credentials provided during onboarding.
Data extraction from Dixa
We pull Conversations via Dixa's Exports API using time-range queries or conversation ID lists. Messages are pulled separately using the same time-range queries and joined to Conversations in the migration staging layer using the parent conversation_id. Agents, Teams, Tags, and Customer profiles export as separate API calls. We stage all records in an intermediate format before writing to Freshdesk. Voice call records are not in scope unless a separate telephony export is confirmed available; we flag this explicitly before beginning extraction.
Sandbox validation and mapping sign-off
We run a migration of a representative sample (typically the most recent 50-100 Conversations with associated Messages, Contacts, and Tags) into a test Freshdesk environment. The customer's support operations lead reviews the migrated records, validates that conversation threading is intact, that tag mapping reflects the agreed taxonomy, and that custom fields populated correctly. Any mapping corrections are documented and applied before the full production migration begins.
Production migration and delta sync
We run the full production migration in dependency order: Contacts (using email as dedupe key), Agents (reconciled against Freshdesk User accounts), Groups (from Dixa Teams), Tickets (Conversations mapped with dla_original_conversation_id__c preserved), Ticket conversations (Messages linked to parent Ticket via Freshdesk conversation API), Tags, Custom Fields, and CSAT ratings. During the migration window, any new Dixa Conversations created by live agents are captured for delta sync. We deliver a reconciliation report with record counts per object and any records that failed import with error reasons.
Cutover, validation, and workflow handoff
We freeze Dixa writes during cutover, run the final delta migration of any records created during the migration window, then mark Freshdesk as the system of record. We deliver the Workflow and Routing Inventory document listing every active Dixa automation with its trigger, conditions, and recommended Freshdesk equivalent to the customer's admin team. We support a three-day hypercare window to resolve any data reconciliation issues. We do not rebuild Dixa workflows as Freshdesk automations inside the migration scope; that is a separate configuration engagement.
Platform deep dives
Dixa
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 2 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 Dixa and Freshdesk.
Object compatibility
2 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
Dixa: Per-token limits documented per organization; specific limits not publicly disclosed.
Data volume sensitivity
Dixa exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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