Helpdesk migration

Migrate from Dixa to Gorgias

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

Dixa logo

Dixa

Source

Gorgias

Destination

Gorgias logo

Compatibility

79%

11 of 14

objects map 1:1 between Dixa and Gorgias.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Dixa to Gorgias shifts from a per-agent pricing model to a per-ticket model with a much lower starting price point. Dixa's Exports API covers conversations, messages, customer profiles, agents, and ratings; the Knowledge Base migrates as a standalone article export. Dixa's per-minute telephony records are not available via the standard API and must be sourced from the connected phone provider separately. Workflow Automation and Intelligent Routing configurations are non-exportable via API in Dixa and must be manually documented and rebuilt as Gorgias Macros and Rules after migration. Gorgias is purpose-built for ecommerce with deep Shopify integration; agents resolve order-related tickets without leaving the helpdesk. We deliver a written inventory of every Dixa routing rule and Workflow Automation that requires manual recreation in Gorgias Rules and Macros.

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  • Per-minute inbound call pricing is described as outdated compared to modern flat-rate VoIP pricing, creating unpredictable monthly bills for high-volume phone support teams.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

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Dixa objects map to Gorgias

Each row shows how a Dixa object lands in Gorgias, 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

Gorgias

Ticket

1:1
Fully supported

Dixa Conversations map directly to Gorgias Tickets. We pull conversations via Dixa's Exports API using time-range queries or conversation ID lists. Each conversation's created_at, updated_at, closed_at, channel type, status, and priority migrate as ticket metadata. Conversation ID becomes a custom external_id field in Gorgias for traceability back to the source record. Dixa's channel field (phone, email, chat, messaging) maps to Gorgias's channel determination via the integration that received the ticket.

Dixa

Message

maps to

Gorgias

Message (nested under Ticket)

1:1
Fully supported

Dixa Messages are children of Conversations and exported separately via the Exports API. Each message carries a parent conversation ID. We join messages to their parent ticket at migration time using this foreign key — if the parent ticket is not yet created, messages land as orphaned records in Gorgias with no parent ticket to attach to. We sequence the Conversation migration phase to complete before the Message phase to prevent orphaned records. Author identity, message body, timestamp, and attachment references all transfer.

Dixa

Customer

maps to

Gorgias

Customer

1:1
Fully supported

Dixa Customer profiles (name, email, phone, custom properties, order history where integrated) map directly to Gorgias Customer. The customer email address serves as the primary dedupe key during import. We map Dixa custom properties on customer profiles to Gorgias custom fields on the Customer object, creating the destination fields before migration begins. Customer conversation history links to the Customer record via email match.

Dixa

Agent

maps to

Gorgias

Agent

1:1
Fully supported

Dixa Agent records (name, email, role, presence status) map to Gorgias Agents. We resolve agents by email address match during migration. Agent-to-team assignments on the source are preserved as Gorgias team membership, which requires the destination Teams object to be provisioned and populated before the Agent import phase runs. Agents without an email match enter a reconciliation queue for the customer admin to resolve.

Dixa

Team

maps to

Gorgias

Team

1:1
Fully supported

Dixa Teams map to Gorgias Teams. Team names and structures export cleanly via the Dixa Exports API. We provision Teams in Gorgias before the Agent migration phase because agent-to-team assignments are set during agent import and require the Team object to exist first. Team-level SLA settings, operating hours, and queue configurations in Dixa are non-exportable and must be manually reconfigured in Gorgias team settings after migration.

Dixa

Tag

maps to

Gorgias

Label

lossy
Fully supported

Dixa Tags are categorical labels stored on conversations and include both manually applied tags and auto-tags generated by Dixa's routing engine for queue assignment. Auto-routing tags reflect internal Dixa logic and have no standard equivalent in Gorgias Labels. We map manually applied tags directly to Gorgias Labels by value. For auto-routing tags, we surface the full taxonomy to the customer during scoping and ask them to designate which tags represent meaningful customer-facing categorization versus internal routing intent. This mapping decision is required before migration begins.

Dixa

Rating

maps to

Gorgias

Satisfaction

1:1
Fully supported

Dixa post-conversation CSAT ratings (score, submission timestamp, linked conversation ID) map to Gorgias Satisfaction records attached to the corresponding Ticket. We resolve each rating to its ticket using the Dixa conversation ID stored on the rating record. Ratings without a resolvable conversation ID in the migration window are flagged as orphaned and reported separately. Rating score values (numeric or star scale) map directly; if the scale differs between platforms, we document the conversion during scoping.

Dixa

Custom Field (conversation)

maps to

Gorgias

Custom Field (ticket)

1:1
Fully supported

Dixa custom fields on conversations are available in the CSV export and API. We map field names and types to equivalent Gorgias custom fields on the Ticket object, creating the destination fields before migration begins. Field type mapping (text, number, date, dropdown) must be coordinated with Gorgias field type availability. Dixa custom fields that reference other Dixa objects via ID require a lookup step to resolve the corresponding Gorgias record ID at migration time.

Dixa

Custom Field (customer)

maps to

Gorgias

Custom Field (customer)

1:1
Fully supported

Dixa custom properties on Customer profiles map to Gorgias custom fields on the Customer object. Field creation in Gorgias is a prerequisite for this migration step. We extract the full list of custom property names and types from Dixa's admin export during scoping and create the matching fields in Gorgias before data migration begins. Customer-level custom fields that reference company data require cross-object ID resolution at migration time.

Dixa

Knowledge Base Article

maps to

Gorgias

Help Center Article

1:1
Fully supported

Dixa Knowledge Base articles are exported as standalone objects with content, category, and metadata. We export article title, body (HTML or Markdown), category assignments, publication status, and author. Articles are imported into Gorgias Help Center as Help Center Articles via the Gorgias Help Center API or CSV import. Article URLs in Dixa do not automatically redirect in Gorgias; we recommend a URL mapping document for the customer's admin to configure redirects post-migration. Articles tied to specific Dixa routing rules or auto-suggestion triggers are flagged as requiring manual re-association in Gorgias.

Dixa

Category

maps to

Gorgias

Help Center Category

1:1
Fully supported

Dixa Knowledge Base Categories map to Gorgias Help Center Categories. We export category names, parent-child hierarchy, and article count. The hierarchy is recreated in Gorgias before article import so that articles land in the correct parent category. Category-level settings (visibility, access control) that exist in Dixa are manually reconfigured in Gorgias by the customer admin post-migration.

Dixa

Attachment (file path reference)

maps to

Gorgias

Attachment (file upload)

1:1
Fully supported

Dixa attachments are stored as file path references within conversation and message records rather than as standalone binary objects in the export. We preserve the file path and flag any attachments where the referenced file may not be accessible from the migration context. If the customer's Dixa instance stores attachments in a connected cloud storage bucket (S3, Google Cloud Storage), we coordinate access credentials during scoping to retrieve files and re-upload them to Gorgias via the Gorgias Files API.

Dixa

Routing Rule (configuration)

maps to

Gorgias

Rule or Macro (configuration)

lossy
Fully supported

Dixa Intelligent Routing rules route conversations by skills, language, customer priority, and queue state. Routing logic is Dixa-configured and not accessible via the Exports API or Dixa API. We capture the current routing configuration as part of the scoping discovery call and document it as a separate configuration workstream. Gorgias Rules and Macros provide the replacement automation surface. We do not rebuild routing rules in Gorgias; we deliver a written routing-rule inventory with a Gorgias Rule and Macro equivalent recommendation for each Dixa routing logic block.

Dixa

Workflow Automation (configuration)

maps to

Gorgias

Macro (configuration)

lossy
Fully supported

Dixa Workflow Automation governs routing, escalation, SLA thresholds, and auto-responses. Workflow logic is not directly exportable via API. We document every active Workflow Automation during the scoping call and deliver a written Workflow inventory with recommended Gorgias Rule and Macro equivalents. The customer admin rebuilds these in Gorgias post-migration. This is explicitly outside data migration scope; the inventory document enables the admin to complete the rebuild efficiently.

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

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Dixa voice call records not available via standard API

    Dixa's Exports API covers conversations and messages but does not expose voice call duration logs, per-call billing records, or call transcripts as exportable objects. If voice history is in scope, customers must source these records separately from Dixa's connected phone provider (Aircall, Twilio, or similar) via that provider's own export tools. We confirm voice history scope during the scoping call. Without a separate telephony export, the Dixa conversation records for phone tickets will migrate to Gorgias without the underlying call duration, cost, or transcript data attached.

  • Auto-routing tags require explicit value mapping to Gorgias Labels

    Dixa auto-tags every conversation for routing purposes regardless of channel. These tags reflect internal queue logic, customer priority, and agent skill routing — they are not customer-facing labels. Direct one-to-one mapping to Gorgias Labels is rarely possible because Gorgias Labels are manual, user-applied tags rather than system-generated routing metadata. We surface the full tag taxonomy during scoping and ask the customer to designate which tags are meaningful for future categorization versus which reflect deprecated routing logic. This mapping decision is a prerequisite before the migration data phase begins.

  • Dixa Workflow and Routing rule configurations are non-exportable

    Dixa's Workflow Automation and Intelligent Routing configurations are not accessible via the Exports API or any Dixa API endpoint. They live in the platform admin configuration and must be manually captured during the scoping call. We treat workflow and routing rebuild as a separate configuration workstream and explicitly not a data migration task. We deliver a written inventory of every active Dixa Workflow and routing rule with a Gorgias Rule and Macro equivalent recommendation. Customers should allocate admin time post-migration to recreate these — the inventory document we provide is the guide for that rebuild.

  • Gorgias AI Agent add-on billing may not be included in plan cost

    Gorgias Fin AI Agent is billed as a separate add-on at $0.90-$1.00 per fully resolved conversation, and resolved conversations also count as helpdesk tickets under the base plan. This effectively creates a double-billing scenario on AI-resolved tickets. Teams migrating from Dixa where Mim AI is bundled on Growth+ tiers should model their expected automation volume against Gorgias's tier pricing before assuming the per-ticket model is cheaper. We include an AI automation cost projection in the scoping document when the customer indicates Gorgias AI adoption is planned.

  • Gorgias API rate limits require staggered import for large volumes

    Gorgias enforces API rate limits using a leaky bucket algorithm at 40-80 requests per 20 seconds depending on tier. For migrations with more than 10,000 conversations, we use batch import endpoints with staggered request windows and exponential backoff on 429 responses to avoid triggering limit enforcement. We confirm the customer's Gorgias plan tier during scoping to calibrate the batch size. High-volume migrations that ignore rate limit pacing risk partial import failures or temporary API lockout.

Migration approach

Six steps for a successful Dixa to Gorgias data migration

  1. Discovery, tier verification, and data audit

    We verify the customer's Dixa plan tier during scoping because the Exports API requires Growth tier or above. If the customer is on an entry-level Dixa plan with no API access, we coordinate a CSV export via the Dixa admin interface instead. We audit the full data landscape: conversation and message volume by date range, customer record count, agent and team rosters, custom field definitions, Knowledge Base article count and category structure, CSAT rating records, and attachment file path inventory. We confirm whether voice history export is in scope and whether the connected telephony provider export is available. This audit produces the written migration scope and a migration order document shared with the customer before any data extraction begins.

  2. Field mapping design and Gorgias configuration

    We design the field-level mapping from Dixa to Gorgias for all active custom fields on conversations and customer profiles. This includes field type mapping (Dixa field type to nearest Gorgias equivalent), required-field handling, and any data transformation required for date formats or multi-value fields. We configure the Gorgias ecommerce integration (Shopify, BigCommerce, or WooCommerce) during this phase so that order data from the connected store is available at migration time. We also set up the destination Knowledge Base categories in Gorgias in the correct parent-child hierarchy before article import begins.

  3. Knowledge Base and tag taxonomy scoping

    We export Dixa Knowledge Base articles with their category assignments and metadata. We create the Help Center category hierarchy in Gorgias before article import so articles land in the correct structure. For the Dixa tag taxonomy, we extract the full tag list, present it to the customer, and resolve which tags are manually applied customer-facing labels (mapping directly to Gorgias Labels) versus auto-routing tags generated by Dixa's routing engine (requiring a destination decision or discard). Tag mapping is confirmed in writing before the data migration phase begins.

  4. Sandbox migration and reconciliation

    We run a sandbox migration using representative production volume from the last 30-60 days. We validate conversation-to-ticket creation, message threading (parent-child resolution), customer deduplication, CSAT rating attachment, agent-to-team assignments, and custom field population. The customer's CX lead spot-checks 25-50 records against the Dixa source and confirms the mapping design. Any field mapping corrections, orphaned message batches, or tag taxonomy changes happen in the sandbox phase, not in production. Sandbox sign-off is required before the production migration window opens.

  5. Production migration in dependency order

    We run production migration in record-dependency sequence: Teams (Gorgias Teams must exist before agents are assigned), Agents (by email match), Customers (by email dedupe), Knowledge Base categories and articles, then Conversations (with external conversation ID stored as a custom field), then Messages (linked to parent conversation), then CSAT ratings (linked to conversation via external ID), then Custom Fields on conversations and customers. Each phase emits a row-count reconciliation report before the next phase begins. Voice export records, if available from the telephony provider, are imported as a separate phase and linked to the corresponding Gorgias ticket via the external conversation ID.

  6. Cutover, delta migration, and handoff

    We freeze Dixa writes during the cutover window and run a final delta migration to capture any records modified between the last full extraction and cutover. We validate migrated record counts against the Dixa source totals and resolve any discrepancies. We deliver the Workflow and Routing Rule inventory document to the customer's Gorgias admin. We offer a one-week hypercare window to address reconciliation issues raised during the first week of live Gorgias operations. Workflow and routing rebuild in Gorgias Rules and Macros is handled by the customer admin using the inventory document we deliver; that rebuild is a separate configuration workstream from the data migration.

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.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 3 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 Gorgias.

  • Object compatibility

    C

    3 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 Gorgias 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 Gorgias data migrations

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

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Standard migrations under 25,000 conversations and no Knowledge Base articles land between three and five weeks. Migrations with Knowledge Base articles, large CSAT histories, or multiple custom field configurations extend to eight to twelve weeks because of article content formatting, category hierarchy setup, and custom field schema creation in Gorgias. The primary variables are data volume, custom field count, and whether voice export coordination with Dixa's telephony provider is required.

Adjacent paths

Related migrations to explore

Ready when you are

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