Helpdesk migration
Field-level mapping, validation, and rollback between Khoros Service and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Khoros Service
Source
Gorgias
Destination
Compatibility
10 of 12
objects map 1:1 between Khoros Service and Gorgias.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Khoros Service to Gorgias is a directional platform shift from enterprise social-care to ecommerce-focused helpdesk. Khoros organizes support around Customers and Cases with Interactions nested as an array inside each Case; Gorgias uses Customers and Tickets as separate objects with reply threads handled differently. We flatten the Khoros Interaction array into individual Gorgias ticket replies, preserving timestamps and agent attribution. Khoros Brands and Initiatives have no direct Gorgias equivalent — we map these organizational layers to Tags on both Customer and Ticket records so the taxonomy travels. The Care API rate limit of 60 requests per minute requires throttled paginated fetching during export; without explicit backoff, 429 errors invalidate session tokens and stall the migration. Macros, automation rules, and workflows do not migrate; we deliver a written inventory of every Khoros routing and auto-response rule for the customer's admin to rebuild in Gorgias Automate. Gorgias's ecommerce data model (Shopify order integration, customer lifetime value, product references) is available post-migration but requires the customer to connect their storefront during onboarding, not during data migration.
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 Khoros Service 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.
Khoros Service
Customer
Gorgias
Customer
1:1Khoros Customer records map to Gorgias Customer records with the primary profile fields (id, screen_name, email, location) preserved. Custom searchable and non-searchable customer fields discovered via GET /meta/object/customer migrate to Gorgias custom fields via the /api/custom-fields endpoint with object_type=Customer. We run the meta/object discovery at the start of every migration to capture any tenant-specific custom fields that would otherwise be silently omitted. Customer order data from Shopify, WooCommerce, or Magento attaches to the Gorgias Customer via the native ecommerce integration configured post-migration, not during data migration.
Khoros Service
Author
Gorgias
Customer (linked profile)
1:1Khoros Author represents the social identity of a customer engaging on a channel (separate from the primary Customer profile). We export author.screen_name, author.brandOwned, and author.properties metadata and link these to the corresponding Customer record in Gorgias using the email or screen_name as the lookup key. Where no matching Customer exists, we create a Customer record from the Author data and flag it for the customer's admin to reconcile post-migration.
Khoros Service
Case
Gorgias
Ticket
1:1Khoros Case maps to Gorgias Ticket with title, status, customId, priority, and all customCaseProperty fields preserved. The Khoros Case customId becomes the Gorgias Ticket external_id for cross-platform reference. Status mapping uses a translation table since Khoros and Gorgias use different status enumerations (Open, Pending, Resolved, Closed versus Open, Pending, Solved, Archived). Priority maps directly where the values align; custom priority tiers become Gorgias priority values with a note in the migration report.
Khoros Service
Interaction
Gorgias
Ticket Reply
1:manyInteractions are nested as an ordered array within each Khoros Case. We flatten this array into individual Ticket Reply records in Gorgias, preserving the ordinal sequence using the interaction.createdAt timestamp and an internal sequence counter. Each reply carries the agent attribution (mapped via email to the Gorgias agent), the message body, and any channel metadata (social channel, community post, direct message). This is the most transformative step in the migration because Gorgias treats replies as separate records while Khoros treats them as embedded objects.
Khoros Service
Conversation
Gorgias
Ticket (linked)
1:1Khoros real-time Conversations (distinct from Case-based Interactions) migrate as Tickets in Gorgias with a source_channel tag indicating the original channel (web chat, messaging app). Conversation metadata and message history map to the Ticket body and reply thread. We set the ticket source to the original channel so Gorgias's channel assignment rules fire correctly on import.
Khoros Service
User (Agent)
Gorgias
Agent
1:1Khoros Agent records (email, name, role assignment) map to Gorgias Agents. We match by email address as the primary key. Khoros initiative-based scoping has no direct Gorgias equivalent — we export initiative membership as a tag on each Case record and instruct the customer's admin to assign team memberships in Gorgias post-migration. Agents with inactive or deleted status in Khoros are imported as inactive Gorgias agents to preserve assignment history.
Khoros Service
Brand
Gorgias
Tag
1:1Khoros Brands define multi-tenant scoping for enterprise deployments managing multiple product or regional communities. We export Brand associations as Tags on Customer and Case records, using the brand name as the tag value. The customer chooses during scoping whether to use a single tag field or a structured tag taxonomy in Gorgias. This is a lossy mapping in the sense that Brand-level permissions and data isolation do not replicate in Gorgias, which is a flat single-tenant structure.
Khoros Service
Initiative
Gorgias
Tag
1:1Khoros Initiatives group Campaigns and Case workflows under a specific business objective. We export initiative membership on Case records as Tags using the initiative name as the tag value. Initiative-level reporting does not have a Gorgias equivalent; we document the initiative taxonomy in the migration report so the customer can rebuild reporting segments using Gorgias's Tags and team assignments. Initiative-level routing rules do not migrate and are listed in the automation inventory.
Khoros Service
Campaign
Gorgias
Tag
1:1Khoros Campaigns track marketing and social care campaign attribution on Cases and Conversations. We export campaign association as a tag on the Case record (migrated as a Gorgias Ticket). Where the destination has a native Campaign object that the customer wants to use, we map to the Gorgias Tag and note in the migration report that the customer should create corresponding Campaign records post-migration for attribution reporting.
Khoros Service
KB Article
Gorgias
Help Center Article
1:1Khoros Knowledge Base articles with structured content, categories, and visibility settings migrate to Gorgias Help Center articles. We export article body, title, and category hierarchy. Image assets embedded in KB content are downloaded from Khoros CDN and re-uploaded to Gorgias Media Library. Article visibility (public, internal, community-only) maps to Gorgias article publication status. Article versions migrate as a single current version; version history is noted in the migration report as a known gap.
Khoros Service
Attachment
Gorgias
Ticket Attachment
1:1Khoros stores attachments on separate CDN infrastructure from the Case and Author records. We fetch referenced attachments during export, download to local storage, and re-upload to Gorgias during ticket import. Attachment references on Customer records (profile images, uploaded documents) migrate to the Customer record in Gorgias. We flag any attachment exceeding Gorgias's file size limits for the customer's admin to handle separately.
Khoros Service
Custom Field
Gorgias
Custom Field
lossyBoth Khoros Customer and Case objects accept custom field declarations via the meta/object API, and Gorgias exposes custom fields via GET /api/custom-fields with object_type filter. We discover the live Khoros schema at migration start (GET /meta/object/{type}), map each discovered custom field to the equivalent Gorgias custom field, and pre-create any missing custom fields in the Gorgias destination before import. Field type mapping follows a translation table (Khoros string to Gorgias text, Khoros boolean to Gorgias boolean, Khoros integer to Gorgias integer). Archived or deprecated Khoros custom fields are noted but not migrated unless the customer requests them.
| Khoros Service | Gorgias | Compatibility | |
|---|---|---|---|
| Customer | Customer1:1 | Fully supported | |
| Author | Customer (linked profile)1:1 | Fully supported | |
| Case | Ticket1:1 | Fully supported | |
| Interaction | Ticket Reply1:many | Fully supported | |
| Conversation | Ticket (linked)1:1 | Fully supported | |
| User (Agent) | Agent1:1 | Fully supported | |
| Brand | Tag1:1 | Fully supported | |
| Initiative | Tag1:1 | Fully supported | |
| Campaign | Tag1:1 | Fully supported | |
| KB Article | Help Center Article1:1 | Fully supported | |
| Attachment | Ticket Attachment1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | 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.
Khoros Service gotchas
Care API rate limits throttle bulk migration speed
Custom field schema must be discovered before migration scoping
Support portal transition disrupted ticket management
Aurora AI migration path for Community Classic is vendor-managed
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 schema audit
We audit the source Khoros portal across custom field declarations (via meta/object endpoint for both customer and case), Interaction array depth per Case, Brand and Initiative taxonomy, active automation rules, Knowledge Base article volume, and attachment count. We pair this with a Gorgias destination audit: existing custom fields, active macros, Help Center structure, and agent count. The discovery output is a written migration scope document with estimated record counts, a custom field mapping table, and a timeline range based on the Care API rate-limit impact on export duration.
Care API rate-limit configuration and export sequencing
We configure the Khoros API client with a 60 req/min throttle and exponential backoff (starting at 1,000ms, doubling on 429, capping at 32,000ms). Large exports run in batches of 50 records with a 1-second sleep between batches to stay well within the rate limit. We prioritize Customer records first (required for Case resolution), then Case records with nested Interactions flattened, then Agent records, then KB Articles, then Attachments. The export runs in a background job and emits a record-count reconciliation report per object before the transform phase begins.
Transform and custom field mapping
We apply the transform rules: Interaction arrays are split into individual reply records with sequence preserved by timestamp; Brand and Initiative memberships are converted to Tags; Khoros Case status values are translated to Gorgias Ticket status via the translation table; Khoros priority values are mapped to Gorgias priority. Custom fields are mapped via the pre-discovered schema table, and any missing Gorgias custom fields are pre-created via the /api/custom-fields POST endpoint before record import begins. Author records are resolved to Customer lookups by email or screen_name. The transform phase outputs a validation-ready dataset with all references satisfied.
Gorgias import in dependency order
We import into Gorgias in record-dependency order: Agents first (required for assignee resolution), then Customers, then Tickets with reply threads, then KB Articles, then Attachments. Each phase uses Gorgias REST API with batch insert (up to 30 records per request where supported) and a per-record error log. We skip attachments exceeding Gorgias file size limits and flag them in the migration report. Tag assignments from Khoros Brand and Initiative are applied to both Customer and Ticket records during import using the /api/tickets/{id} PUT endpoint after initial insert. Each phase emits a row-count reconciliation report and a sample record validation check before the next phase begins.
Reconciliation and sample validation
We validate the migrated dataset against the source export counts for every object type. We spot-check 30-50 records randomly selected across the migration for field-level accuracy: status translation correctness, priority mapping, reply thread sequence, tag assignment, and custom field population. We validate that all agent email matches resolved to a Gorgias Agent record and that any Customer records without an email match are flagged. The reconciliation report is shared with the customer's admin for sign-off before cutover.
Cutover, delta migration, and automation inventory handoff
We freeze Khoros writes during cutover, run a final delta migration of any Cases modified during the migration window, then confirm Gorgias as the system of record. We deliver the automation inventory document listing every Khoros routing rule, triage rule, and auto-response with its trigger conditions and recommended Gorgias Automate equivalent (Rule, Macro, or Flow). We do not rebuild Khoros automations as Gorgias automations inside the migration scope; that is a separate engagement or an internal admin task. We support a five-business-day hypercare window where we resolve any data quality issues raised by the customer's support team during the first week of live operation.
Platform deep dives
Khoros Service
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 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 Khoros Service and Gorgias.
Object compatibility
3 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
Khoros Service: 60 req/min on Author and Conversation APIs; 20 req/min on Analytics Reports API.
Data volume sensitivity
Khoros Service 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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