Helpdesk migration

Migrate from Supportbench to Gorgias

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

Supportbench logo

Supportbench

Source

Gorgias

Destination

Gorgias logo

Compatibility

85%

11 of 13

objects map 1:1 between Supportbench and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Supportbench to Gorgias is a platform paradigm shift: Supportbench is a B2B SaaS-focused helpdesk built around customer health scoring, tiered SLA management, and Salesforce synchronization, while Gorgias is an eCommerce-first helpdesk optimized for ticket volume, Shopify integration, and AI-powered resolution. The migration requires resolving a fundamentally different data model. Supportbench's Customer health score is computed from behavioral signals using internal algorithms and migrates as a static numeric attribute only. Supportbench maintains separate internal and external Knowledge Bases that require two distinct export passes; Gorgias models these as a single Knowledge Base with visibility flags. Supportbench's customizable Views are saved filter definitions with no export mechanism; we capture them during audit and rebuild them as saved filters or static queues in Gorgias. Gorgias charges per ticket volume rather than per agent seat, which changes cost structure for high-volume support teams. We do not migrate SLA escalation workflows, Views automation, or Supportbench's Salesforce sync configuration as these are platform-specific constructs.

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

Supportbench logo

Supportbench

What's pushing teams away

  • Steep onboarding curve with a complex feature set that requires significant training investment before agents can work independently, particularly around SLA configuration.
  • Limited filtering and search capabilities in the Views system make it difficult for agents to isolate relevant ticket queues without custom work.
  • Missing SLA breach visual indicators at the queue level, forcing supervisors to rely on external dashboards or manual checks to catch violations in time.
  • Mobile and offline access is limited compared to competitors, creating friction for field or remote agents who cannot stay in the application continuously.
  • Transitioning from another CRM to Supportbench is described by some users as overwhelming, with insufficient migration tooling or guided import workflows.

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 Supportbench objects map to Gorgias

Each row shows how a Supportbench 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.

Supportbench

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Supportbench Tickets export via Enterprise API with full message history, timestamps, assignee, SLA metadata, and email threading references. We map directly to Gorgias Ticket records, preserving subject, status, priority, channel origin, and message body. Attachments transfer as file references re-associated with the target Ticket. Supportbench ticket ID is preserved as an external_id field for audit and cross-reference.

Supportbench

Customer

maps to

Gorgias

Customer

1:1
Fully supported

Supportbench Customer records map to Gorgias Customer with name, email, phone, language, timezone, and custom fields. The customer's Supportbench health score migrates as a static numeric custom field (e.g., health_score__c) because Gorgias has no native health scoring equivalent. We map Supportbench tier and SLA policy assignments to Gorgias customer attributes where available.

Supportbench

Agent

maps to

Gorgias

Agent

1:1
Fully supported

Supportbench Agent records include role, team assignment, permissions, and personal View configurations. We map roles and team membership to Gorgias agent equivalents. Supportbench Enterprise unlimited custom roles may not map directly to Gorgias role model; we document the gap and recommend role equivalence configuration post-migration. Deleted or inactive Supportbench agents are mapped to a default Gorgias agent for ticket reassignment.

Supportbench

Knowledge Base (Internal)

maps to

Gorgias

Knowledge Base Article (Internal)

1:1
Fully supported

Supportbench maintains a separate internal Knowledge Base for agent-only articles with distinct visibility settings and category taxonomy. We run a dedicated export pass for internal KB articles, transfer article content, category hierarchy, and attachment references, then apply visibility flags in Gorgias to restrict to agent access. Internal KB category structure is mapped to Gorgias KB categories with internal visibility.

Supportbench

Knowledge Base (External)

maps to

Gorgias

Knowledge Base Article (Public)

1:1
Fully supported

Supportbench customer-facing external KB is exported separately from the internal KB. Article content, category hierarchy, and attachment references transfer to Gorgias public-facing Knowledge Base articles with public visibility flags. The external KB category taxonomy is mapped to Gorgias category structure. Customers currently using Supportbench's external KB for self-service will need to configure Gorgias help center branding post-migration.

Supportbench

Survey

maps to

Gorgias

CSAT/NPS/CES

1:1
Fully supported

Supportbench Survey configuration and historical response data export separately. CSAT, NPS, and CES scores tied to closed tickets migrate as numeric values with associated ticket references. Survey widget configuration (branding, placement, trigger conditions) does not transfer; we document the existing configuration for manual re-implementation in Gorgias.

Supportbench

SLA Policy

maps to

Gorgias

SLA Rule

lossy
Fully supported

Supportbench tiered SLA policies with escalation stages, response targets, and resolution windows export as structured records. Gorgias SLA model differs structurally: Gorgias uses time-based SLA rules tied to ticket conditions rather than Supportbench's customer-tier-adaptive model. We document each Supportbench SLA policy (triggers, stages, targets, escalation paths) and provide a written mapping to Gorgias SLA rule equivalents for the customer's admin to configure in the destination.

Supportbench

View

maps to

Gorgias

Saved Filter

lossy
Fully supported

Supportbench Views are saved filter configurations scoped to agents or teams, referencing field values, ownership, and status conditions. There is no documented export mechanism for View definitions. We capture View definitions during the audit phase as structured filter criteria, then reconstruct them as Gorgias saved filters or static queue views. This is a manual reconstruction step documented in the migration deliverables.

Supportbench

Company

maps to

Gorgias

Customer (with company context)

1:1
Fully supported

Supportbench Company records hold licensing, contract, and Salesforce-linked data. We export the Company object and link the associated Customer records in Gorgias. Supportbench's Salesforce linkage reference does not transfer; if the destination maintains a CRM connection, we document the linkage for re-establishment post-migration.

Supportbench

Custom Field (Ticket)

maps to

Gorgias

Custom Field (Ticket)

1:1
Fully supported

Supportbench custom fields on Tickets map to Gorgias custom fields. We perform field-level mapping against the destination schema, handling data type differences (date formats, dropdown values, multi-select). System fields are matched automatically per Gorgias documentation. Custom field mapping requires a schema audit phase before migration begins.

Supportbench

Custom Field (Customer)

maps to

Gorgias

Custom Field (Customer)

1:1
Fully supported

Supportbench custom fields on Customers map to Gorgias customer custom fields. Health score migrates as a numeric custom field; SLA tier assignment migrates as a text or picklist field. We handle data type conversion and validate against Gorgias custom field API constraints.

Supportbench

Attachment

maps to

Gorgias

Attachment

1:1
Fully supported

Supportbench file attachments on tickets are referenced by URL. We export the file content and re-associate it with the target Ticket record in Gorgias. Large file batches may require chunking. Inline images within ticket messages are handled as separate attachment passes with re-embedding in message bodies.

Supportbench

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Supportbench free-form ticket tags export as a flat list. We re-apply tag values in Gorgias, deduplicating any naming conflicts. Tags used for categorization and reporting transfer directly; there is no tag taxonomy mapping required.

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.

Supportbench logo

Supportbench gotchas

High

No public API documentation for migration tooling

High

Enterprise API required for programmatic data export

Medium

Views filter criteria do not export as reusable objects

Medium

Knowledge Base internal/external split requires separate export passes

Low

Health score computation logic is not transferable

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

  • Supportbench Enterprise API required for bulk export

    Supportbench does not publish a public API reference or developer documentation portal. Bulk and programmatic export of Tickets, Customers, Knowledge Base articles, and Survey data requires an active Enterprise plan on the source account. Professional tier users must rely on manual CSV exports or support-assisted data pulls. We confirm the source account's tier during scoping and negotiate extended API access or manual export assistance from Supportbench directly. If Professional tier is in use, we coordinate with the Supportbench team to obtain a data export before building the migration pipeline.

  • Health score migrates as a static value only

    Supportbench customer health scores are computed from behavioral signals and support interaction history using platform-internal algorithms. We transfer the current score as a static numeric attribute on the Customer record but the scoring model itself cannot be replicated in Gorgias. Teams should establish a baseline score at cutover, document the Supportbench score distribution, and plan to re-calibrate expectations against any native Gorgias reporting or a custom health scoring implementation post-migration.

  • Views filter definitions require manual reconstruction

    Supportbench Views are saved filter configurations scoped to an agent or team, but there is no documented export of View definitions as structured objects. We cannot programmatically reproduce a user's custom Views in the destination without reconstructing the filter logic manually from screenshots or descriptions. We capture View definitions during the audit phase and re-implement them as saved filters or static queues in Gorgias, documenting each reconstructed filter for customer sign-off.

  • Internal and external Knowledge Bases require separate export passes

    Supportbench maintains two separate Knowledge Bases: an internal KB for agents and a customer-facing external KB for self-service. These are distinct data stores with separate article structures, visibility settings, and category taxonomies. We run two export passes and apply the appropriate visibility flags in Gorgias, noting that Gorgias models internal and external KB access through visibility flags on a single Knowledge Base rather than separate objects. Category hierarchy mapping requires alignment during the audit phase.

  • Gorgias pricing model shift from seat-based to ticket-based

    Supportbench charges per agent seat regardless of ticket volume. Gorgias charges per ticket, which can reduce costs for teams with high agent-to-ticket ratios but increase costs during volume spikes. Teams should model their expected ticket volume against Gorgias pricing tiers (Starter at $10/month for 50 tickets up to Pro at $360/month for 2,000 tickets) before migration to understand the cost impact. AI Agent resolutions incur additional per-resolution fees that stack on top of ticket counts.

Migration approach

Six steps for a successful Supportbench to Gorgias data migration

  1. Source account scoping and API access negotiation

    We audit the Supportbench source account across tier (Professional or Enterprise), record volumes (tickets, customers, agents, KB articles), Views count, SLA policy count, custom field schemas on Tickets and Customers, and survey configuration. Because Supportbench has no public API documentation, we request API access credentials directly from the Supportbench team during scoping, validate endpoint availability, and confirm whether the source account is on Enterprise tier (required for bulk API export). If Professional tier is in use, we coordinate a manual or assisted data export. The scoping output is a written data inventory and API access confirmation.

  2. Dual Knowledge Base audit and Views capture

    We run a parallel audit of the internal and external Supportbench Knowledge Bases, capturing article count, category hierarchy depth, visibility settings, and attachment references for each store. We also document every Supportbench View definition (filter criteria, ownership, scope) as structured filter specifications. This audit phase is manual and requires access to Supportbench as an admin user with View management permissions. The audit output is a dual KB article inventory, category mapping specification, and a View reconstruction plan for Gorgias saved filters.

  3. SLA policy documentation and Gorgias SLA rule design

    We extract every Supportbench SLA policy, documenting escalation stages, response targets, resolution windows, and customer-tier trigger conditions. Because Gorgias uses a different SLA model (time-based rules tied to ticket conditions rather than Supportbench's adaptive customer-tier model), we design a Gorgias SLA rule equivalent for each Supportbench policy and document the mapping. This is a written deliverable; SLA rules are re-implemented by the customer's admin in Gorgias post-migration. We do not configure Gorgias SLA rules as part of standard migration scope.

  4. Sample migration and data validation

    We run a test migration using a representative sample of Supportbench data (typically 100-500 tickets, 50-200 customers, and a sample of each KB article type) into a staging Gorgias account. We validate object mapping accuracy, custom field data type handling, Knowledge Base visibility flag application, tag deduplication, and attachment re-association. The customer reviews the sample migration results and identifies any mapping corrections before proceeding to full migration.

  5. Full migration in dependency order

    We run production migration in dependency order: Knowledge Base categories and articles (internal then external with visibility flags), Customer records (with health score as static numeric field and SLA tier mapping), Agent records (with role and team mapping), Ticket records (with assignee resolution, SLA metadata, message history, and attachment re-association), Tags (deduplicated and applied to tickets), and Survey response history (scores tied to closed tickets). Each phase emits a row-count reconciliation report. We apply exponential backoff on Gorgias API rate limit responses and chunk large batches to avoid import timeouts.

  6. Views reconstruction and SLA configuration handoff

    We deliver the documented View reconstruction plan (structured filter criteria for each Supportbench View mapped to Gorgias saved filter equivalents) and the SLA policy mapping document (Supportbench policies mapped to Gorgias SLA rule specifications) to the customer's admin team. We do not configure Views or SLA rules in Gorgias as part of standard migration scope; these require admin-level configuration using the Gorgias interface. We support a one-week post-migration window for reconciliation of any data issues identified after cutover.

Platform deep dives

Context on both ends of the pair

Supportbench logo

Supportbench

Source

Strengths

  • AI Copilot and QA bot features are native to the platform rather than add-ons, bundled at every tier.
  • Built-in customer health scoring with predictive CSAT/CES without requiring survey deployment.
  • Native Salesforce sync for licensing, contract, and account data on customer records.
  • Dynamic SLA policies that adapt based on customer tier and case context, not just static rule sets.
  • All-inclusive pricing model with no feature gating between Professional and Enterprise beyond SSO, sandbox, and white-labeling.

Weaknesses

  • No publicly documented API endpoint reference or developer portal, limiting programmatic access for migrations and integrations outside of Salesforce.
  • Small vendor footprint (7 employees per PitchBook data) raises long-term viability concerns for large enterprise contracts.
  • Limited mobile application functionality and offline access compared to established competitors like Zendesk or Freshdesk.
  • Custom role configuration is Enterprise-only, restricting mid-sized teams from tailoring access controls without upgrading.
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. 3 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 Supportbench 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

    Supportbench: Not publicly documented on the introduction page — confirmed during scoping. Token expiry every 7 days is the hard time-bound constraint..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Supportbench to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

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Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Supportbench to Gorgias data migrations

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

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Migrations under 10,000 tickets, 5,000 customers, and a single Knowledge Base export typically complete in three to five weeks. Migrations with both internal and external KB exports, SLA policy documentation, Views reconstruction planning, and larger data volumes (50,000+ tickets) extend to six to ten weeks because of the dual KB export passes, SLA model reconciliation, and Views manual capture scope.

Adjacent paths

Related migrations to explore

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