Helpdesk migration

Migrate from Dixa to Freshdesk

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

Dixa logo

Dixa

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

90%

9 of 10

objects map 1:1 between Dixa and Freshdesk.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Dixa logo

Dixa

What's pushing teams away

  • Users report Dixa's analytics and reporting as shallow and insufficient — missing data connectivity, manual adjustments needed for useful insights, and lack of optimization features frustrated power users.
  • One-year binding contracts with three-month notice periods are cited as a significant pain point, especially for seasonal businesses that need to scale agent counts down during off-peak periods.
  • The minimum six-agent license requirement forces over-provisioning for small teams that only need four licenses during slower periods.
  • Per-minute inbound call pricing is described as outdated compared to modern flat-rate VoIP pricing, creating unpredictable monthly bills for high-volume phone support teams.
  • A Trustpilot review describes the UX/UI as cluttered, unintuitive, and slow — the reviewer switched to Zendesk mid-contract because the software was not fit for purpose despite paying for both simultaneously.

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 Dixa objects map to Freshdesk

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

maps to

Freshdesk

Ticket

1:1
Fully supported

Dixa 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

maps to

Freshdesk

Ticket Notes (Reply/Public Note)

1:1
Fully supported

Dixa 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

maps to

Freshdesk

Contact

1:1
Fully supported

Dixa 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

maps to

Freshdesk

Agent

1:1
Fully supported

Dixa 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

maps to

Freshdesk

Group

1:1
Fully supported

Dixa 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

maps to

Freshdesk

Ticket Source

lossy
Fully supported

Dixa 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

maps to

Freshdesk

Tag or Label

1:1
Fully supported

Dixa 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)

maps to

Freshdesk

Custom Ticket Field

1:1
Fully supported

Custom 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

maps to

Freshdesk

Ticket CSAT

1:1
Fully supported

Post-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

maps to

Freshdesk

Solution Article

1:1
Fully supported

Dixa 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.

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.

Dixa logo

Dixa gotchas

Medium

Agent-based pricing with minimum seat count may inflate migration cost

High

Per-minute telephony records not exported via standard API

Medium

Auto-tag and routing-intent fields have no standard destination equivalents

High

API access gated behind Growth+ tiers with published overage price list

High

Workflow and routing rule logic is non-exportable via API

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

  • Voice call duration and billing records are not in Dixa's Exports API

    Dixa's Exports API covers conversations and messages but does not expose voice call duration logs or per-call billing records. Any phone support history in scope must be sourced separately from Dixa's connected VoIP provider logs or from a telephony partner export. Freshdesk handles voice separately through Freshcaller (a separate product) or through imported call log records as a custom object. We ask customers upfront whether voice history is in scope and whether separate telephony exports are available before confirming migration scope.

  • Dixa auto-routing tags have no standard Freshdesk equivalent

    Dixa auto-tags every conversation for internal queue routing regardless of channel. These tags reflect customer priority, agent skill requirements, and routing state rather than external-facing labels. Freshdesk has no auto-routing taxonomy; tags in Freshdesk are informational labels only. We surface the full Dixa tag inventory during scoping and the customer decides which tags represent true categorization (migrated to Freshdesk Tags) versus routing metadata (documented for rebuild in Freshdesk automations). Direct one-to-one mapping is rarely appropriate for routing tags.

  • Dixa API access is tier-gated; overage pricing applies on Growth+

    Dixa's Exports API is not available on all tiers. Additionally, overage usage is billed per Dixa's published overage price list when export volume exceeds Order Form limits. High-volume exports during migration can trigger these thresholds unexpectedly, generating unbudgeted Dixa charges during the migration window. We check the customer's Dixa plan tier before initiating API exports, recommend staggered export windows if the plan caps on API calls per minute or per day, and flag the overage risk in the scoping document.

  • Workflow Automation and routing rules do not migrate

    Dixa's Workflow Automation governs routing, escalation, and SLA thresholds. Intelligent Routing rules route conversations by skills, language, customer priority, and queue state. Both are Dixa-configured and not accessible via the Exports API. Freshdesk's automation model is different in structure and trigger logic. We treat workflow and routing recreation as a separate configuration workstream and deliver a written inventory of every active Dixa workflow and routing rule with a recommended Freshdesk automation equivalent for the customer's admin to rebuild post-migration.

Migration approach

Six steps for a successful Dixa to Freshdesk data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

Context on both ends of the pair

Dixa logo

Dixa

Source

Strengths

  • AI agent (Mim) resolves routine inquiries end-to-end without agent involvement, reducing ticket volume materially.
  • Skill-based intelligent routing across all channels in a single unified interface eliminates shared-inbox inefficiency.
  • Fast CX-team configuration without developer resources — routing, workflows, and knowledge base set up without IT involvement.
  • Bundled AI features (response suggestions, auto-tagging, sentiment detection, auto QA) available across Growth tier and above.
  • 75% first-contact resolution rate versus 54% industry benchmark, driven by routing quality and AI surfacing.

Weaknesses

  • Analytics and reporting features are widely described as shallow, manual, and insufficient for deep performance analysis.
  • One-year contracts with three-month notice periods and a minimum six-agent seat requirement create inflexibility for seasonal businesses.
  • Per-minute telephony pricing model is considered outdated by customers accustomed to flat-rate VoIP pricing.
  • API access is gated to higher tiers, limiting data portability for customers on entry-level plans.
  • UX/UI described as cluttered and slow by some reviewers, particularly compared to competitors like Zendesk.
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. 2 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 Dixa and Freshdesk.

  • Object compatibility

    B

    2 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

    Dixa: Per-token limits documented per organization; specific limits not publicly disclosed.

  • Data volume sensitivity

    A

    Dixa exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Dixa 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 Dixa to Freshdesk data migrations

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

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Most migrations land between two and three weeks for accounts under 15,000 Conversations with standard tag and field mapping. Migrations exceeding 50,000 Conversations, requiring voice log sourcing from a separate telephony export, or involving extensive custom field and tag value mapping move to four to six weeks because of voice data coordination, tag audit scope, and the Freshdesk sandbox validation phase. The largest variable is whether the customer participates actively in tag classification during scoping; delayed decisions on routing tags extend the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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