Helpdesk migration
Field-level mapping, validation, and rollback between Gladly and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Gladly
Source
Gorgias
Destination
Compatibility
10 of 12
objects map 1:1 between Gladly and Gorgias.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Gladly to Gorgias requires reconciling two fundamentally different mental models. Gladly centers every interaction around a continuous Customer Profile and single open Conversation; Gorgias uses discrete Tickets attached to Customers. We split each Gladly Conversation into one or more Gorgias Tickets by channel and issue type, preserving the full message history, timestamps, and agent attribution. A key scoping risk is Gladly's profile merge behavior: absorbed Customer IDs 301-redirect to survivors, but the Work Sessions Report retains the old IDs. We export both ID values and map the complete history to the surviving ID so agent-level reporting remains intact in Gorgias. Historical conversation exports from Gladly require either a paid Gladly Professional Services engagement or API-assisted file generation; we treat this as a migration cost item in scoping and begin export requests early because turnaround can take weeks. We do not migrate Gladly Workflows, Automations, or the Gladly Answers knowledge base as code; we deliver a written inventory of active Workflow configurations and article structure for manual rebuild in Gorgias.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Gladly 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.
Gladly
Customer Profile
Gorgias
Customer
1:1Gladly Customer Profiles map directly to Gorgias Customers by email address as the primary dedupe key. A critical migration risk is Gladly's profile merge behavior: when two profiles are merged, the absorbed Customer ID 301-redirects to the survivor, but the Work Sessions Report retains the old ID. We export both current and historical Customer IDs for every profile and store the original Gladly Customer ID in Gorgias external_id. We also write the historical ID as a custom string field gladly_legacy_customer_id__c on the Gorgias Customer record so that any reporting or integration referencing the old ID resolves correctly.
Gladly
Conversation
Gorgias
Ticket
1:manyThis is the core architectural conversion. Gladly enforces one open Conversation per Customer at any time; Gorgias creates discrete Tickets for each issue or channel interaction. We split each Gladly Conversation into one or more Gorgias Tickets based on the following logic: if a Conversation has multiple channel interactions (e.g., email followed by chat) we create separate Tickets by channel; if a Conversation covers multiple issue types identified by Topic labels, we create separate Tickets by Topic. The full message history within each original Conversation migrates as messages on the corresponding Ticket. The customer should expect a higher ticket count in Gorgias than the original Conversation count in Gladly because multi-issue threads are disaggregated.
Gladly
Conversation Item
Gorgias
Ticket Message
1:1Every individual message across all channels within a Gladly Conversation (email, SMS, voice voicemail, chat, social) maps to a Gorgias Ticket Message. We preserve the channel metadata (email, chat, phone, social_channel) from Gladly in the message record. Voice call recordings and voicemail transcripts attach as message attachments. Agent attribution migrates by resolving the Gladly User email to the Gorgias User record. The message timestamp sets the Gorgias created_datetime on the message.
Gladly
Topic
Gorgias
Tag
1:1Gladly Topics are taggable labels applied to Conversations for routing and analytics. We export all Topic assignments and map them as Gorgias Tags on the corresponding Ticket. If a Gladly Conversation has multiple Topics, all tags are applied to the corresponding split Ticket. Tag names are preserved verbatim. The customer should confirm during scoping whether certain Topics should drive ticket routing rules in Gorgias, which requires the customer admin to configure Rules based on Tag after migration.
Gladly
User / Agent
Gorgias
User
1:1Gladly User records (name, email, role, permissions) map to Gorgias User records. We resolve by email match. Any Gladly User referenced on a Conversation or Conversation Item without a matching Gorgias User is held in a reconciliation queue; the customer's Gorgias admin provisions the User before that portion of the migration runs. Role mappings (Gladly Agent, Supervisor, Admin) map to Gorgias User roles and permission sets.
Gladly
Reports
Gorgias
Reports
1:1Gladly exports standard reports as CSV via UI or API. The Work Sessions Report retains old Customer IDs after profile merges. We pull CSV exports for CSAT, handle time, first response, and volume reports, and map the customer identifiers to the new Gorgias Customer records. Aggregated metrics (CSAT scores, handle time averages) are migrated as read-only custom fields on the Gorgias Customer or as metadata notes on individual Tickets. Raw volume data requires a data warehouse or reporting tool beyond Gorgias's native analytics.
Gladly
Knowledge Base / Gladly Answers
Gorgias
Help Center Article
1:1Gladly Answers articles, categories, and help center structure are exported as structured content. We deliver the article HTML, category hierarchy, and metadata as a written specification for the customer to import into Gorgias Help Center. Gladly's AI-generated response templates do not migrate; Gorgias AI Agent learns from the Help Center articles at setup, which is a customer-admin task. We do not rebuild Gladly Answers as Gorgias Help Center articles as code; we deliver the content and structure for manual import.
Gladly
Workflow
Gorgias
Rule / Macro
1:1Gladly Workflows encode routing logic, spam filtering, required disclosures, and handoff rules as configuration-as-code with no bulk API export endpoint. We document every active Workflow during discovery: trigger conditions, routing rules, disclosure requirements, and SLA thresholds. We deliver a written Workflow inventory specifying the recommended Gorgias Rule or Macro equivalent for each. The customer's Gorgias admin or a consultant rebuilds the routing logic. Automations do not migrate as executable rules.
Gladly
Custom Object
Gorgias
Custom Field (Ticket or Customer)
lossyGladly supports custom object definitions that store structured data linked to Customer Profiles or Conversations. We audit the customer's Gladly configuration for any custom objects during discovery. Custom object fields map to Gorgias Ticket meta fields (key-value JSON), custom Ticket fields (if the Gorgias plan supports them), or custom Customer fields depending on the object relationship. We pre-create the Gorgias schema before migration so that data lands in typed fields rather than unstructured notes.
Gladly
Webhooks
Gorgias
Webhooks
1:1Gladly exposes a webhook system with configurable events, retry policies, and ping events. We export the webhook endpoint URLs, event subscriptions, and payload configurations during discovery. The customer reconfigures these endpoints in Gorgias Settings > Webhooks after migration. We provide the full webhook specification (event types, payload structure) for reimplementation.
Gladly
Attachment
Gorgias
Attachment
1:1File attachments on Conversation Items (images, PDFs, voice recordings) migrate to Gorgias as Ticket attachments linked to the corresponding message. We preserve the original filename, MIME type, and size. Attachments are fetched from Gladly's media storage via API and uploaded to Gorgias during the message import phase. Large voice recording files may require extended migration time depending on volume.
Gladly
Satisfaction Survey (CSAT)
Gorgias
Satisfaction Survey
1:1Gladly CSAT survey responses attached to Conversations migrate to Gorgias as satisfaction_survey records on the corresponding Ticket. Survey scores, free-text responses, and agent attribution are preserved. If Gladly CSAT settings include custom questions, those are documented for the customer to reconfigure in Gorgias satisfaction survey settings.
| Gladly | Gorgias | Compatibility | |
|---|---|---|---|
| Customer Profile | Customer1:1 | Fully supported | |
| Conversation | Ticket1:many | Fully supported | |
| Conversation Item | Ticket Message1:1 | Fully supported | |
| Topic | Tag1:1 | Fully supported | |
| User / Agent | User1:1 | Fully supported | |
| Reports | Reports1:1 | Mapping required | |
| Knowledge Base / Gladly Answers | Help Center Article1:1 | Mapping required | |
| Workflow | Rule / Macro1:1 | Fully supported | |
| Custom Object | Custom Field (Ticket or Customer)lossy | Fully supported | |
| Webhooks | Webhooks1:1 | Mapping required | |
| Attachment | Attachment1:1 | Fully supported | |
| Satisfaction Survey (CSAT) | Satisfaction Survey1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Gladly gotchas
Historical conversation import is a paid Gladly add-on
Customer IDs change on profile merges
One open Conversation per customer constraint
Default API rate limit of 10 requests per second
Workflows do not export as data records
Gorgias gotchas
AI Agent adds outcome-based fees on top of billable ticket costs
Overage billing for tickets scales nonlinearly
API rate limits restrict bulk export throughput
Agent data visibility cannot be restricted by role for GDPR use cases
Knowledge Base translations require separate API calls per locale
Pair-specific challenges
Migration approach
Discovery and export initiation
We audit the source Gladly instance: Customer Profile count, Conversation count, Conversation Item volume by channel (email, SMS, voice, chat, social), active Topic taxonomy, active Workflow configurations, and custom object definitions. We also audit the destination Gorgias plan tier to confirm ticket limits accommodate the expected split ratio from Gladly Conversations to Tickets. In the same phase, we initiate the Gladly historical export request through their support or Professional Services channel, since Gladly's turnaround on export file generation can take several weeks. We deliver a written migration scope document identifying the split ratio, custom field requirements, and any known export access constraints before proceeding.
Sample migration and field mapping validation
We run a sample migration using a representative slice of Gladly data (typically 500-1,000 Customers and 2,000-5,000 Conversation Items) into a test Gorgias environment. The customer reconciles the sample: checks that Customer records match by email, that Conversation splits produce the expected ticket count, that message timestamps and agent attribution are correct, that Tags apply from Gladly Topics, and that the Customer merge ID resolution works for any profile that has a merge history. Field mapping corrections are documented and applied before the full migration begins. No production data moves until the sample is signed off.
Full Customer and Conversation migration
We migrate Customer Profiles first, exporting from Gladly by email as the dedupe key and writing both current and historical Customer IDs to the Gorgias Customer record. Conversation Items are exported from Gladly grouped by Conversation, then split into individual Tickets by channel and Topic using the rules defined during scoping. Messages land on the corresponding Ticket with channel metadata, agent attribution, and timestamp preserved. Tags are applied from Gladly Topics. Attachments are fetched from Gladly media storage and uploaded to Gorgias message records. We reconcile total Customer count, total Ticket count, and total message count against the source export before proceeding.
Active delta sync and cutover
We identify and migrate any new Customers, Conversations, or Conversation Items created in Gladly during the migration window. Once the delta is captured, we freeze writes to the source Gladly instance and perform a final reconciliation pass. The customer switches their support routing to Gorgias. We do not run a simultaneous dual-write period because Gladly does not expose an inbound webhook or routing API for this pattern.
Workflow inventory and knowledge base handoff
We deliver the written Workflow inventory documenting every active Gladly Workflow with its trigger conditions, routing logic, disclosure rules, and handoff thresholds, mapped to recommended Gorgias Rule or Macro equivalents. We also deliver the Gladly Answers article content and category structure as a structured document for manual import into Gorgias Help Center. The customer assigns their admin or a Gorgias consultant to rebuild routing and macros post-migration. We do not rebuild Gladly Workflows or Gladly Answers as executable Gorgias rules or articles.
Post-migration reconciliation and hypercare
We run a post-migration reconciliation comparing record counts, spot-checking message content on a random sample of 50-100 Tickets, and verifying that Customer merge IDs resolve correctly. We support a one-week hypercare window where we resolve any data quality issues raised by the customer's support team. We do not provide ongoing admin support, training, or Gorgias workflow rebuild as standard scope; these are separate engagements.
Platform deep dives
Gladly
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Gladly and Gorgias.
Object compatibility
4 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Gladly: 10 requests per second across all HTTP methods, with documented 429 responses and retry guidance.
Data volume sensitivity
Gladly doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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