Helpdesk migration

Migrate from Thread to Gorgias

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

Thread logo

Thread

Source

Gorgias

Destination

Gorgias logo

Compatibility

83%

10 of 12

objects map 1:1 between Thread and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Thread to Gorgias is a schema reconstruction, not a direct record copy. Thread conflates review-channel Threads and message-chain Conversations under a single interface, with no publicly documented API for export. Gorgias separates reviews (linked to order context from Shopify, Magento, or BigCommerce) from support tickets, and imposes a two-year data-retention import ceiling plus a 500-custom-field cap. We extract Thread data via admin-panel export with customer consent, decompose review-channel and conversation data into separate object streams, map review responses as first-class message threads attached to review records, and load into Gorgias respecting the ticket-field limit. Response Templates, tag vocabularies, and custom ticket properties migrate as written reference data for admin rebuild; Workflows and Automations do not migrate as code. We deliver a written inventory of every Thread automation requiring rebuild in Gorgias Rules.

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

Thread logo

Thread

What's pushing teams away

  • Single-reviewer G2 rating and limited public review volume make it difficult to assess long-term reliability, which causes enterprise buyers to rule it out early.
  • Small user base means fewer community templates, integrations, and third-party resources compared to established help desk platforms like Zendesk or Freshdesk.
  • No tiered feature gating documented in public pricing creates ambiguity about what capabilities require upgrades, leading to unexpected scoping conversations post-purchase.
  • Support channels appear limited to standard email, help desk, and phone; teams needing dedicated account management or SLA guarantees look elsewhere.
  • Lacks the workflow automation depth available in mid-market competitors, prompting teams with complex routing rules to migrate to platforms with visual automation builders.

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 Thread objects map to Gorgias

Each row shows how a Thread 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.

Thread

Conversation

maps to

Gorgias

Ticket (message thread)

1:1
Fully supported

Thread Conversations (chronological message chains with timestamps, author attribution, and channel metadata) map to Gorgias Tickets with messages stored as Ticket Message records. Each message in the Thread chain becomes a Gorgias Message entry with author_type (customer/agent/system), the original timestamp preserved as created_at, and the channel source (email, chat, review) mapped to the Gorgias channel field. We flatten Thread's nested message tree into a linear conversation record ordered by timestamp to match Gorgias's single-thread message model.

Thread

Review

maps to

Gorgias

Ticket (review-linked)

1:1
Fully supported

Thread Reviews (star rating, review text, source platform, response status) map to Gorgias Tickets with the channel source field set to review and the review platform identifier preserved in a custom field. The original review body migrates as the first customer message. Review responses migrated from Thread are attached as subsequent agent messages in the same Ticket to preserve the review-response linkage chain.

Thread

Review Response

maps to

Gorgias

Ticket Message

1:1
Fully supported

Thread review responses are queued for import only after the parent Review record has been successfully written to Gorgias. This dependency ordering prevents orphaned responses that would otherwise appear as unlinked text. The response message author is set to the corresponding agent user record, and the created_at timestamp is preserved from the original Thread response timestamp.

Thread

User (Agent)

maps to

Gorgias

User (Agent)

1:1
Fully supported

Thread User records (display name, email, role, team assignment) map directly to Gorgias User. Agent email is the dedupe key for matching. Any Thread User without a matching Gorgias User is held in a reconciliation queue for the customer's admin to provision before the ticket migration phase begins. Role and team assignments are preserved in Gorgias Role and Team fields.

Thread

Team

maps to

Gorgias

Team

1:1
Fully supported

Thread Teams (agent groupings and routing rules) map to Gorgias Teams. We create a crosswalk table during the mapping phase to align Thread team names with Gorgias team names, since terminology differences are common in multi-channel help desk platforms. Routing rules do not migrate as code; they are documented in the automation inventory for admin rebuild.

Thread

Ticket (PSA-linked)

maps to

Gorgias

Ticket with custom fields

1:1
Fully supported

Thread Tickets that carry PSA integration fields (when the ConnectWise or other PSA integration is active) map to Gorgias Tickets with the PSA reference data stored in custom text fields. We export the complete PSA field schema alongside the ticket data and create equivalent Gorgias custom fields of the matching data type before migration. If the PSA integration is not active in Thread, this object collapses into the standard Conversation mapping.

Thread

Custom Properties

maps to

Gorgias

Custom Fields

lossy
Mapping required

Thread custom properties on tickets and conversations (account-specific field definitions with data types) map to Gorgias custom fields. We export the complete custom property schema during discovery, then pre-create the destination schema in Gorgias before any data import. Thread text, number, and boolean custom properties map directly. Thread list or multi-select custom properties map to Gorgias single-select or multi-select picklist fields. If the total custom field count exceeds Gorgias's 500-field import ceiling, we work with the customer to prune or archive deprecated fields before migration.

Thread

Response Template

maps to

Gorgias

Macro

1:1
Fully supported

Thread Response Templates (canned reply shortcuts used by agents) map to Gorgias Macros. Template content migrates as Macro body text. Thread shortcut codes map to Macro shortcut codes. Templates with actions beyond reply text and status changes are imported with an empty actions list and flagged in the handoff documentation for admin to rebuild manually in Gorgias.

Thread

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Thread Tags applied to tickets and reviews export as a full tag vocabulary. We map each tag to a Gorgias Tag, preserving the tag name and the association to the parent ticket record via the ticket_tags relationship. Tags that exceed Gorgias character limits are truncated and flagged for admin review.

Thread

Attachment

maps to

Gorgias

Attachment (re-hosted)

lossy
Fully supported

Thread stores file attachments on its CDN. We download all attachments, rename them with conversation identifiers to preserve association, re-host them to the customer's designated storage location, and create Gorgias Ticket Attachment records linked to the corresponding Ticket Message. Attachment migration runs as a parallel pipeline to ticket migration and completes before the cutover validation phase.

Thread

Integration (HubSpot CRM, Mailchimp)

maps to

Gorgias

Configuration reference

1:1
Fully supported

Thread Integration configurations (API credentials, connection metadata, sync state for HubSpot CRM and Mailchimp) are exported as reference data and mapped to the equivalent Gorgias integration configurations if supported. For integrations that have no Gorgias equivalent, the configuration data is included in the handoff documentation with notes on which integrations require reconfiguration post-migration in the customer's Gorgias admin panel.

Thread

Historical timestamp

maps to

Gorgias

Ticket created_at / updated_at

1:1
Fully supported

Thread conversation and review timestamps (created date, last updated, response timestamps) migrate to Gorgias Ticket created_at and updated_at fields. We preserve the original Thread timestamps to maintain the historical record of when conversations and reviews were originally created, even though the migration technically occurs at a later date. Timestamps are validated against Gorgias's import requirements and formatted to ISO 8601.

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.

Thread logo

Thread gotchas

High

No publicly documented API for programmatic migration

Medium

Flat-rate pricing hides per-user feature limits

Medium

Thread and conversation scoping ambiguity

Low

Review attribution breaks when response is migrated separately

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

  • Gorgias limits imported ticket history to two years

    Gorgias caps imported ticket history at two years of the most-recent records. If the Thread account has a support history extending beyond two years, records older than the cutoff are excluded from the import. We flag this during discovery by estimating the Thread ticket volume and date range. For customers with audit or compliance requirements requiring full history retention, we discuss the option of archiving older records as a separate offline export (CSV or PDF) and loading the two-year window via API.

  • No publicly documented API for Thread export

    Thread does not publish a developer API reference, authentication method, or rate-limit schedule in any publicly accessible documentation. We cannot initiate a direct API export and instead rely on admin-panel data exports with explicit customer consent. If the admin-panel export is limited in scope (for example, only recent records or missing attachment URLs), we allocate additional time for supplemental extraction and CDN attachment download. This adds one to three days to the discovery phase compared to platforms with documented APIs.

  • Response templates with unsupported actions import empty

    Gorgias supports only reply text and status-change macro actions during import. Thread Response Templates that include conditions, CRM updates, SLA timers, or channel routing will import with empty action lists. We identify all Thread Response Templates with unsupported actions during discovery, document them in the handoff package with their full configuration, and flag them for the customer's admin to rebuild as Gorgias Rules. Templates with only reply text and status-change actions migrate fully.

  • Thread conflates Threads and Conversations, risking orphaned review responses

    Thread's interface does not cleanly separate review-channel Threads from support-conversation data. Exporting conversation data without capturing the originating review thread is a common error that orphans responses. We export both objects in full and cross-reference them via shared identifiers during the transformation step to ensure every response attaches to its parent review. A dependency-check pipeline queues review responses for import only after their parent review record has been successfully written to Gorgias.

  • Gorgias cannot import more than 500 ticket fields

    If the Thread account has more than 500 custom properties or ticket fields defined across all ticket types, the Gorgias import will fail at the field level. We count all Thread custom properties during discovery. If the count exceeds 500, we work with the customer to identify deprecated, redundant, or inactive fields for archival before migration. Active fields are re-created in Gorgias pre-import; archived fields are documented in the handoff package with their full definition for reference or future re-activation.

Migration approach

Six steps for a successful Thread to Gorgias data migration

  1. Discovery and data audit

    We audit the Thread account across all active objects: Conversations, Reviews, Review Responses, Tickets (including PSA-linked tickets), Users, Teams, Response Templates, Tags, Custom Properties, Integrations, and Attachment volumes. We estimate the total record count, date range of historical data, custom property field count, and attachment file size. We also confirm the export method available in the Thread admin panel and identify any records that fall outside Gorgias's two-year import window. The discovery output is a written migration scope document with record counts per object, a field inventory for Custom Properties, and a flag list for any records that will not migrate.

  2. Schema design and field mapping

    We design the destination schema in Gorgias. This includes provisioning custom fields matching Thread's custom property schema (with data types mapped: text, number, boolean, picklist), configuring Teams mapped to Thread's team structure, and setting up Tags in Gorgias corresponding to Thread's tag vocabulary. If the Thread custom property count exceeds Gorgias's 500-field ceiling, we design a field-pruning plan with the customer before any schema is created in the destination. Response Templates are mapped to Macros with a full compatibility assessment for action types. Schema design is validated in the Gorgias sandbox before production migration begins.

  3. Export and transformation

    We extract Thread data via the admin-panel export with customer consent. Attachments are downloaded from the Thread CDN, renamed with conversation identifiers, and re-hosted to the customer's designated storage. Review and Conversation records are decomposed into separate data streams. Review Responses are cross-referenced with their parent Review records and flagged as pending until the parent is written. Custom property data is extracted alongside each ticket record. All data is staged in a transformation environment where we apply the field mapping, resolve team and user identifiers, and enforce the two-year date cutoff before loading into Gorgias.

  4. Sandbox migration and reconciliation

    We run a full migration into a Gorgias sandbox using the production data volume from discovery. The customer's lead admin reviews record counts across all object types (Tickets, Messages, Reviews, Users, Teams, Macros, Tags, Custom Fields), spot-checks 20-30 random tickets against the Thread source for field accuracy and timestamp preservation, and validates that review-response linkage is intact. Any mapping corrections, field mismatches, or data anomalies are resolved in the sandbox before the production migration window is scheduled.

  5. Production migration in dependency order

    We run production migration in dependency order: Users and Teams first (so that OwnerId and team references are satisfied), then Reviews and Review Responses (with dependency ordering enforced so responses queue behind their parent reviews), then Conversations as Tickets with message threads, then Attachments, then Tags, then Custom Fields, and finally Response Templates mapped to Macros. Each phase emits a row-count reconciliation report. If the migration hits Gorgias API rate limits, we implement exponential backoff with batch chunking and resume from the last confirmed checkpoint.

  6. Cutover, validation, and rebuild handoff

    We freeze Thread writes during the cutover window, run a final delta migration of any records modified during the migration run, then enable Gorgias as the system of record. We deliver the Response Template compatibility report (with unsupported macro actions flagged), the field-pruning archive list (for any Custom Properties above the 500-field ceiling), the Integration reconfiguration checklist for HubSpot CRM, Mailchimp, and any PSA connectors, and the Automation inventory documenting Thread's routing rules and SLA settings requiring rebuild as Gorgias Rules. We support a three-day hypercare window for reconciliation issues. Workflows, automations, and routing rules do not migrate as code; those are separate admin rebuilds outside migration scope.

Platform deep dives

Context on both ends of the pair

Thread logo

Thread

Source

Strengths

  • Flat-rate pricing model simplifies budgeting with no per-seat surprises for small teams.
  • Chat-native ticketing UI reduces agent onboarding time compared to traditional form-based help desks.
  • Native HubSpot CRM and Mailchimp integrations require no custom development to activate.
  • Review aggregation from multiple sources into a single feed eliminates tab-switching for support teams.
  • PSA platform integration lets managed service providers keep review management inside their primary ticketing tool.

Weaknesses

  • Extremely limited public review volume makes it hard to validate long-term product reliability before committing.
  • No tiered feature documentation means customers cannot self-assess what capabilities are gated behind upgrades.
  • Small user community results in few third-party plugins, templates, or community-driven integrations.
  • No publicly documented API endpoint reference or developer documentation for custom integration work.
  • Enterprise-grade features such as SLA tracking, advanced automation, and dedicated support are absent from public positioning.
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?

Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Thread and Gorgias.

  • Object compatibility

    C

    4 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

    Thread: Not publicly documented. Throughput in practice is bounded by the connected PSA's API limits (ConnectWise Manage, Autotask, HaloPSA) rather than by Thread itself. The vendor's marketing cites 173 million tickets processed across 750+ MSP partners, indicating production-scale throughput..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Thread 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 Thread to Gorgias data migrations

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

Can't find your answer?

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Most migrations land between two and four weeks for accounts under 10,000 records with clean conversation-review linkage and fewer than 200 custom properties. Migrations with large attachment volumes (file-heavy support histories), custom property schemas approaching the 500-field ceiling, or multi-channel Thread configurations with mixed review and ticket data move to six to ten weeks because of field-pruning design work, CDN re-hosting of attachments, and review-response dependency resolution.

Adjacent paths

Related migrations to explore

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