Helpdesk migration

Migrate from Khoros Service to Gorgias

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

Khoros Service logo

Khoros Service

Source

Gorgias

Destination

Gorgias logo

Compatibility

83%

10 of 12

objects map 1:1 between Khoros Service and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Khoros Service logo

Khoros Service

What's pushing teams away

  • Pricing that frequently exceeds $300,000 annually makes Khoros difficult to justify for teams that have outgrown its community features but do not need the full social media management suite.
  • Steep learning curve with inadequate onboarding and training resources leaves new administrators unable to configure workflows without vendor professional services.
  • Support portal transition to a new Case portal in July 2025 caused confusion and interrupted existing ticket workflows during the migration period.
  • Interface complexity that frustrates non-technical end users who submit tickets, leading to low adoption rates and ticket volume being routed through other channels instead.
  • IgniteTech acquisition in 2025 with subsequent mass layoffs created uncertainty about product roadmap, support continuity, and long-term platform investment.

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 Khoros Service objects map to Gorgias

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

maps to

Gorgias

Customer

1:1
Fully supported

Khoros 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

maps to

Gorgias

Customer (linked profile)

1:1
Fully supported

Khoros 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

maps to

Gorgias

Ticket

1:1
Fully supported

Khoros 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

maps to

Gorgias

Ticket Reply

1:many
Fully supported

Interactions 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

maps to

Gorgias

Ticket (linked)

1:1
Fully supported

Khoros 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)

maps to

Gorgias

Agent

1:1
Fully supported

Khoros 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

maps to

Gorgias

Tag

1:1
Fully supported

Khoros 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

maps to

Gorgias

Tag

1:1
Fully supported

Khoros 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

maps to

Gorgias

Tag

1:1
Fully supported

Khoros 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

maps to

Gorgias

Help Center Article

1:1
Fully supported

Khoros 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

maps to

Gorgias

Ticket Attachment

1:1
Fully supported

Khoros 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

maps to

Gorgias

Custom Field

lossy
Fully supported

Both 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.

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.

Khoros Service logo

Khoros Service gotchas

High

Care API rate limits throttle bulk migration speed

Medium

Custom field schema must be discovered before migration scoping

Medium

Support portal transition disrupted ticket management

Low

Aurora AI migration path for Community Classic is vendor-managed

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

  • Khoros Care API rate limit of 60 req/min requires aggressive throttling

    The Khoros Care APIs for Author and Conversation are throttled at 60 requests per 60 seconds. During bulk export, naive paginated fetch loops will stall or receive 429 responses that invalidate session tokens, causing the migration to fail mid-export. We implement exponential backoff between pages, queue large migrations in batches of 50 records per request, and run export jobs during off-peak hours to maximize throughput within the rate limit. A migration of 100,000 Khoros Cases can take 40+ hours of export time at this throttle rate, which affects the overall project timeline and must be communicated during scoping.

  • Khoros Interaction arrays must be split into individual Gorgias replies

    Khoros nests all message exchanges, status changes, and notes as an ordered Interactions array within each Case. Gorgias treats replies as individual Ticket Reply records. We flatten this array during the transform phase, creating one reply record per Interaction with the correct agent attribution, timestamp, and body. Cases with 50 or more Interactions produce 50 individual reply records, multiplying the total record count and the Gorgias API insert volume. Teams that have not accounted for this record-count inflation may underestimate Gorgias ticket volume and purchase a plan tier that is insufficient for their actual post-migration load.

  • Brand and Initiative scoping has no Gorgias equivalent

    Khoros Brands and Initiatives are enterprise organizational layers that isolate data and assign permissions across multiple product or regional communities. Gorgias does not have a multi-tenant structure; all Tickets and Customers live in a single flat workspace. We map Brand and Initiative membership to Tags on Customer and Case records, but Brand-level data isolation and permission scoping do not replicate. Teams relying on Khoros Brand permissions for sensitive product-line separation need to evaluate Gorgias's team and agent permissions model separately and may need to configure data separation using Gorgias's Tags and access rules post-migration.

  • Ecommerce order data requires post-migration integration setup

    Gorgias's primary value for ecommerce teams is its tight Shopify, WooCommerce, and Magento integration that brings order history, product references, and customer lifetime value directly into the ticket workspace. This integration is configured post-migration, not during data migration. Khoros does not have native ecommerce order data; the Customer record in Khoros is a support profile, not an order profile. Teams migrating from Khoros to Gorgias will have their customer support history in place on day one but will need to connect their storefront and allow Gorgias to sync order data before the ecommerce ticket enrichment features are functional.

  • Support portal transition on July 17, 2025 may affect record metadata

    Khoros migrated its support portal from community.khoros.com/caseportal to supportportal.khoros.com on July 17, 2025. Records created before this date may have different ID formats and metadata structures than records created after. We normalize both record cohorts during export and flag any Case with a creation date in the 30-day window around the transition for additional validation. Customers who did not notice the portal cutover may have gaps in their Case creation history during that period.

Migration approach

Six steps for a successful Khoros Service to Gorgias data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Khoros Service logo

Khoros Service

Source

Strengths

  • Unified agent workspace handling social, community, and messaging channels from a single queue without switching tools.
  • CRM integration layer that connects customer profiles and case history to Salesforce and similar platforms via API.
  • Automation rules for routing, prioritization, and auto-response that execute server-side without manual agent intervention.
  • Enterprise community management with moderation, roles, and permissions scaled for brands with millions of registered members.
  • Patented social media marketing and community technology with 25 years of continuous development across large brand deployments.

Weaknesses

  • No public pricing page; sales-driven pricing frequently exceeds $300k annually, making budget planning difficult for prospective customers.
  • Complex administrative interface that requires significant training investment before teams can configure workflows independently.
  • Insufficient onboarding resources leave new administrators dependent on vendor professional services for initial configuration.
  • Recent IgniteTech acquisition followed by mass layoffs creates uncertainty about long-term product support and roadmap continuity.
  • Support portal migration mid-2025 disrupted existing support workflows and required customers to re-establish ticket management processes.
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 Khoros Service 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

    Khoros Service: 60 req/min on Author and Conversation APIs; 20 req/min on Analytics Reports API.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Khoros Service 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 Khoros Service to Gorgias data migrations

Answers to the questions buyers ask most during Khoros Service 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 50,000 Cases with moderate Interaction depth (under 10 replies per Case on average). Migrations with deep nested Interaction threads (over 15 replies per Case), multiple Brand or Initiative scoping layers, large Knowledge Base article volumes (over 1,000 articles), or delta-migration windows exceeding 30 days move to eight to twelve weeks. The Care API rate limit of 60 requests per minute is the primary timeline driver for large Khoros exports; a 100,000-Case export can take 40 or more hours of export time alone at throttle-limited throughput.

Adjacent paths

Related migrations to explore

Ready when you are

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