Helpdesk migration

Migrate from ThinkOwl to Gorgias

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

ThinkOwl logo

ThinkOwl

Source

Gorgias

Destination

Gorgias logo

Compatibility

67%

8 of 12

objects map 1:1 between ThinkOwl and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from ThinkOwl to Gorgias requires a schema translation, not a direct record copy. ThinkOwl organizes support around the Case — a multi-channel thread that bundles customer context, conversation history, time entries, and custom fields into a single object. Gorgias uses a ticket-centric model where each customer conversation is a Ticket with a linked Customer record and optional Macros and Tags for workflow. The primary migration risk is that ThinkOwl's case hierarchy does not map 1:1 into Gorgias's flat ticket structure; time entries, embedded contact data, and conversation modules require extraction, transformation, and re-association at import time. ThinkOwl's proprietary no-code workflow definitions are not exportable — we document the routing and SLA logic as a written specification for the customer's admin to rebuild in Gorgias Macros. Draft records in ThinkOwl are migrated as internal Ticket notes with an [ORIGINAL_DRAFT] prefix rather than live tickets, which prevents auto-escalation on work-in-progress replies.

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

ThinkOwl logo

ThinkOwl

What's pushing teams away

  • Advanced features such as video chat, screen sharing, and browser co-browsing are gated behind the Enterprise tier at $149/user/month, making the Professional tier feel feature-limited for complex support scenarios.
  • The no-code workflow builder, while powerful, has a steep learning curve—users report spending significant time reading documentation or contacting support to configure basic automations.
  • Custom field configuration lacks a clear visual interface; the cf-prefixed internal naming convention is opaque and makes field management confusing for non-technical administrators.
  • ThinkOwl's API documentation, while available, lacks public rate limit detail and version stability; customers building integrations report that API changes occasionally break existing workflows without warning.
  • Smaller support teams with simple ticket routing needs find ThinkOwl's AI-first feature set overengineered relative to simpler tools like Zendesk or Front.

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 ThinkOwl objects map to Gorgias

Each row shows how a ThinkOwl 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.

ThinkOwl

Case

maps to

Gorgias

Ticket

1:1
Fully supported

ThinkOwl Cases are the central object wrapping a customer request across email, chat, voice, WhatsApp, and social channels. We map Cases to Gorgias Tickets using the source Case ID preserved as an external_id for reconciliation. The Case subject becomes the Ticket subject; Case status (New, In Progress, Resolved, Closed) maps to Gorgias Ticket status values which we configure before import. ThinkOwl's multi-channel message thread migrates as a flat chronological message list on the Gorgias Ticket.

ThinkOwl

Contact (embedded in Case)

maps to

Gorgias

Customer

1:1
Fully supported

ThinkOwl embeds customer data in Cases via the embed=customer parameter. We extract Contact records with name, email, phone, company association, and cf-prefixed custom contact properties before importing them as Gorgias Customers. Email serves as the dedupe key. Any custom contact fields from ThinkOwl map to Gorgias Customer custom fields, with the cf code recorded in the mapping table alongside the display label.

ThinkOwl

Agent / User

maps to

Gorgias

Agent

1:1
Fully supported

ThinkOwl Agent records include name, email, role, and team assignment. We extract all agents and match them to Gorgias Agents by email address. Agents without a corresponding Gorgias account are flagged for the customer to provision before the production migration phase begins. Role and team assignments are noted for post-migration routing rebuild in Gorgias Macros and Rules.

ThinkOwl

Team

maps to

Gorgias

Team

lossy
Fully supported

ThinkOwl Teams define agent grouping and case routing rules. We preserve team names and membership during extraction. In Gorgias, Teams are configured as Groups that control ticket routing. Routing rule logic (which team receives which case type) is documented in the workflow specification delivered to the customer for rebuild in Gorgias Rules, since routing logic is platform-specific and cannot be migrated as code.

ThinkOwl

Time Entry

maps to

Gorgias

Ticket (as time tracking notes)

lossy
Fully supported

ThinkOwl Time Entries attach to individual Cases, recording which agent logged time and for what duration. Gorgias does not have a native time-tracking child object equivalent to ThinkOwl's Time Entry schema. We migrate time entry data as internal notes on the parent Gorgias Ticket, formatted with agent name, duration, and date so the context is preserved. If the customer's workflow requires billable time, they configure a time-tracking integration post-migration.

ThinkOwl

Draft

maps to

Gorgias

Ticket (internal note)

lossy
Fully supported

ThinkOwl maintains a separate Drafts object for unsent replies. Migrating Drafts as open Tickets in Gorgias creates noise and risks auto-escalation. We import draft content as internal Ticket notes with an [ORIGINAL_DRAFT] prefix, preserving the work-in-progress text for agent review without creating duplicate active tickets. The customer's admin decides which drafts to promote to real tickets post-migration.

ThinkOwl

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Tags applied to ThinkOwl Cases are exported as flat label strings. We migrate tags as-is to Gorgias Tags. No semantic translation is applied — tag names must match exactly. We generate a tag inventory during discovery so the customer can audit the tag taxonomy before and after migration and consolidate or rename as needed during the rebuild phase.

ThinkOwl

Custom Field (Case)

maps to

Gorgias

Custom Field (Ticket)

1:1
Fully supported

ThinkOwl uses cf-prefixed system identifiers (cf101000, cf101001) for custom fields on Cases and Contacts. We extract both the system code and the admin display label during field inventory and create a mapping table. In Gorgias, custom fields use admin-defined labels and optional API names. We map by label match first, fall back to type-match where labels differ, and flag any ThinkOwl custom fields with no Gorgias equivalent for the customer to configure pre-import.

ThinkOwl

Business Hours

maps to

Gorgias

Business Hours

lossy
Mapping required

ThinkOwl's Business Hours API defines support operating windows used for SLA calculations. We export business-hours configurations as structured records and map them to Gorgias Business Hours. Both platforms support timezone and schedule definition, but SLA rule logic is platform-specific and must be rebuilt in Gorgias SLA Management post-migration. We deliver a written Business Hours and SLA configuration guide alongside the migration.

ThinkOwl

Attachment (Fileee module)

maps to

Gorgias

Attachment

1:1
Fully supported

ThinkOwl stores files via its Fileee module and associates them with Cases. We export attachments and re-associate them by filename reference during import into Gorgias Tickets. File size limits and MIME-type restrictions vary between platforms — we audit the file inventory during discovery and flag any files that exceed Gorgias limits for manual handoff. Inline images embedded in message bodies migrate with the message.

ThinkOwl

Conversation Module

maps to

Gorgias

Macro / Rule (template only)

1:1
Fully supported

ThinkOwl Modules define structured conversation flows with elements, steps, and conditional logic in JSON. We export module definitions for review and deliver them as a documentation package. Gorgias's Macros and Rules serve a similar automation function but use a different configuration paradigm. We do not migrate Modules as live Macros — the specification document enables the customer's admin to rebuild conversation templates as Gorgias Macros post-migration.

ThinkOwl

Workflow / Business Process

maps to

Gorgias

Macro / Rule

1:1
Fully supported

ThinkOwl's no-code business process builder uses a proprietary JSON schema for task elements, service tasks, and conditional branches with no documented export endpoint. We do not migrate workflow definitions as code. During discovery we document the current workflow logic — routing rules, escalation paths, SLA triggers, and team assignments — and deliver a written workflow specification so the customer can rebuild in Gorgias Macros and Rules. This is one of the primary scope items that increases migration timeline for teams with complex routing.

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.

ThinkOwl logo

ThinkOwl gotchas

High

API rate limits differ by plan tier

High

Workflow automation is not exportable

Medium

Custom fields use opaque cf-prefix codes

Medium

Draft records require manual disposition

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

  • ThinkOwl case hierarchy flattens in Gorgias tickets

    ThinkOwl Cases bundle conversation history, time entries, embedded customer data, and custom fields into a single structured object. Gorgias Tickets are flatter — each message is a separate entry, customer data lives in a linked Customer record, and time entries require a separate note format. We resolve this by extracting child objects from the ThinkOwl case hierarchy before import and re-associating them in Gorgias. The parent-child relationships between Cases and their embedded data are preserved through external_id references. Teams that skip this step end up with Gorgias tickets missing conversation context, billable time, or customer history.

  • ThinkOwl workflow definitions cannot be migrated to Gorgias Macros

    ThinkOwl's no-code business process builder uses a proprietary JSON schema that has no export endpoint. There is no portable representation of the routing rules, SLA triggers, escalation paths, or conditional branches that teams build inside ThinkOwl. We document the current workflow logic in plain text during discovery and deliver a written specification — trigger conditions, actions, delays, and team assignments — so the customer's admin can rebuild in Gorgias Macros and Rules. This rebuild step is always outside migration scope and typically takes one to four weeks depending on workflow complexity.

  • Gorgias does not natively support ThinkOwl's multi-channel case threading model

    ThinkOwl automatically groups email, WhatsApp, chat, voice, and social messages from the same customer into a single Case thread. Gorgias associates each message with a Ticket but the threading model differs — voice calls and chat sessions may create separate Tickets by default unless the customer configures channel linking rules. We set the external_id field on each migrated message so that related messages can be manually linked in Gorgias post-import. Channel linking rules must be configured in Gorgias Settings before or after migration.

  • ThinkOwl API rate limits vary by tier and require batch pacing

    ThinkOwl enforces per-plan API rate limits: Professional at 500 requests per minute, Enterprise at 700 requests per minute, Enterprise plus at 850 requests per minute. We monitor the X-ThinkOwl-RateLimit-Remaining response header during extraction and pace batch requests accordingly. Exceeding the limit mid-extraction causes a temporary block that can result in partial record pulls. We scope each batch within the plan limit, pause between batches to reset the counter, and retry failed records at reduced concurrency.

  • Gorgias AI Agent and automation add-ons charge per resolution and per ticket

    Gorgias AI Agent is priced at $0.90-$1.00 per resolution on top of the base plan, and AI-resolved tickets count against the plan's monthly ticket limit. Teams migrating from ThinkOwl, where AI tools are bundled at the Professional and Enterprise tiers, may see cost increases if they enable AI automation in Gorgias without monitoring resolution volume. We include a cost-impact note in the migration scope document for teams evaluating Gorgias AI Agent post-migration.

Migration approach

Six steps for a successful ThinkOwl to Gorgias data migration

  1. Discovery and object inventory

    We audit the ThinkOwl portal across plan tier, active Agents and Teams, open and closed Case volume, custom field schema (cf-prefix codes and display labels), active Business Hours configurations, attachment file inventory, Draft records, and any Module or workflow definitions. We pair this with a Gorgias account audit: configured Customer fields, existing Tickets, Macros, Rules, and Teams. The discovery output is a written migration scope document, an object mapping table, and a field-level reconciliation sheet that identifies any cf-prefixed fields with no Gorgias equivalent for the customer to pre-configure.

  2. Case hierarchy extraction and transformation

    ThinkOwl Cases contain embedded customer data, conversation messages, time entries, and custom fields in a nested structure. We extract all child objects independently from the parent Case so they can be re-associated in Gorgias. Contact records are extracted first, then message records, then time entries and attachments. The Case hierarchy is flattened and staged in our migration buffer with external_id references preserved so that each message and time entry can be linked to the correct parent Ticket during Gorgias import. Draft records are staged separately for note conversion.

  3. Gorgias schema pre-configuration

    We work with the customer's Gorgias admin to pre-create any custom Customer fields and Ticket custom fields that match the cf-prefixed schema from ThinkOwl. Teams are created in Gorgias to match ThinkOwl Team names. Business Hours are configured in Gorgias to match ThinkOwl schedules. We configure Ticket Status values to accommodate the full set of source Case statuses. Any channel linking rules for multi-channel message grouping are configured at this stage if the customer wants automated thread consolidation in Gorgias.

  4. Trial migration and reconciliation

    We run a representative sample migration — typically 50-200 records of each object type — into the customer's live Gorgias environment. The customer reconciles record counts, spot-checks field mapping accuracy for 20-30 random Cases and Customers, and verifies that message threads, tags, and time entry notes appear correctly in Gorgias. We correct any mapping errors before proceeding to full production migration. This step also surfaces any cf-prefixed fields that require a manual configuration in Gorgias before the bulk import.

  5. Production migration in dependency order

    We run production migration in dependency order: Customers first (email dedupe key), then Agents, then Teams, then Business Hours, then Tickets with full message threads, then Tags, then time entries as internal notes, then attachments. We pace extraction from ThinkOwl within the plan rate limit and batch inserts into Gorgias via the REST API with chunking and exponential backoff. Each phase emits a row-count reconciliation report. Any records that fail validation are held in a retry queue and re-attempted at reduced concurrency.

  6. Cutover, draft handoff, and workflow rebuild specification

    We freeze ThinkOwl writes during cutover, run a final delta migration of any Cases or Customers modified during the migration window, then enable Gorgias as the system of record. Draft records are converted to internal Ticket notes with [ORIGINAL_DRAFT] prefix. We deliver the workflow specification document — covering routing rules, SLA triggers, escalation paths, and team assignments — to the customer for rebuild in Gorgias Macros and Rules. We support a 72-hour hypercare window for reconciliation issues raised during the first business day in Gorgias.

Platform deep dives

Context on both ends of the pair

ThinkOwl logo

ThinkOwl

Source

Strengths

  • Case-centric architecture mirrors how support agents actually work, centering the ticket rather than the customer profile.
  • Built-in AI tools for field extraction, reply drafting, and process insights without requiring third-party AI integration.
  • Omnichannel inbox consolidates email, WhatsApp, chat, voice, and social into a single threaded view.
  • ISO-certified German hosting satisfies EU data residency and compliance requirements for regulated industries.
  • No-code workflow builder with conditional branching enables support managers to automate routing and escalation without developer involvement.

Weaknesses

  • API rate limits vary by tier and are not prominently documented; customers building custom integrations must test limits empirically.
  • Custom field UI uses opaque internal naming (cf-prefix codes) rather than human-readable labels, complicating administration.
  • Advanced collaboration features (video chat, screen share) require Enterprise tier, inflating cost for teams that need them selectively.
  • Workflow automation definitions are not exportable, forcing teams to manually rebuild automations when migrating away.
  • Platform lacks a public roadmap or changelog accessible to customers, making it difficult to anticipate upcoming changes.
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 ThinkOwl 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

    ThinkOwl: 500 req/min (Professional), 700 req/min (Enterprise), 850 req/min (Enterprise plus). Limits enforced per organization..

  • Data volume sensitivity

    B

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

Estimator

Estimate your ThinkOwl 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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FAQ

Frequently asked questions about ThinkOwl to Gorgias data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 Cases and 8,000 Contacts with no complex custom modules. Migrations with large conversation histories (over 100,000 message records), complex cf-prefixed custom field schemas, active Business Hours with holiday rules, or teams with more than ten routing workflows move to seven to twelve weeks because of ThinkOwl API rate-limit pacing, the manual macro rebuild scope, and multi-channel thread reconciliation in Gorgias.

Adjacent paths

Related migrations to explore

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