Helpdesk migration
Field-level mapping, validation, and rollback between Locobuzz and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Locobuzz
Source
Gorgias
Destination
Compatibility
7 of 12
objects map 1:1 between Locobuzz and Gorgias.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Locobuzz and Gorgias serve different core use cases, which makes this migration a data-model reshape rather than a straightforward record copy. Locobuzz is a social-first omnichannel CX platform with deep review monitoring, sentiment scoring, and social listening baked into its architecture. Gorgias is an eCommerce-native helpdesk built around ticket-based support with Shopify, WooCommerce, and BigCommerce integrations that let agents act on orders without leaving the inbox. The most significant structural conversion happens at the review level: Locobuzz stores Reviews as a first-class object, while Gorgias has no review management module; we convert review records to tickets and preserve source metadata so the customer can respond to reviews within Gorgias going forward. We also carry forward SLA configurations as Gorgias Rules, sentiment scores as custom fields, and the full conversation thread history as ticket comments. Workflows, automations, and social account routing do not migrate; we deliver written specs for these configurations to be rebuilt manually 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 Locobuzz 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.
Locobuzz
Ticket
Gorgias
Ticket
1:1Locobuzz Tickets map directly to Gorgias Tickets with subject, description, status, priority, timestamps, assigned agent, and channel origin preserved. The Locobuzz channel origin (social, email, review, chat) maps to Gorgias channel metadata. SLA response and resolution timestamps migrate as custom fields if the destination plan supports SLA tracking. Tag associations from Locobuzz apply as Gorgias tag values at import time.
Locobuzz
Customer
Gorgias
Customer
1:1Locobuzz Customer profiles (name, email, phone, social handles, interaction history) map to Gorgias Customer records. Email is the primary dedupe key. Social handles from Locobuzz migrate to custom text fields on the Gorgias Customer record since Gorgias does not have a native social handle field. We preserve the customer's language and timezone if populated in Locobuzz.
Locobuzz
Conversation
Gorgias
Ticket Comment
1:1Each Locobuzz Conversation thread (messages, agent responses, customer replies, internal notes) attaches to the migrated Ticket as chronological Comments in Gorgias. We preserve message author, timestamp, and channel origin so the conversation timeline in Gorgias mirrors the Locobuzz thread order. Internal notes from Locobuzz flag as private Comments in Gorgias.
Locobuzz
Review
Gorgias
Ticket (converted)
lossyLocobuzz Review records have no native equivalent in Gorgias. We convert each review to a Ticket with the review content as the ticket body, the source platform (Google, industry site, social) as a custom field, star rating as a numeric custom field, and response status tracked via ticket status. Brand response history from Locobuzz attaches as an internal note or first customer reply comment. This conversion enables the customer to manage review responses from within Gorgias post-migration.
Locobuzz
Agent/User
Gorgias
Agent
1:1Locobuzz Agent records (name, email, role, team assignment) map to Gorgias Agent records by email match. We flag inactive or suspended Locobuzz accounts for exclusion during migration. Role mapping (agent, supervisor, admin) carries forward to Gorgias permission levels. If a Locobuzz agent has no email (rare), we use the agent display name as a fallback and flag for admin verification in Gorgias.
Locobuzz
SLA Rule
Gorgias
Rule
lossyLocobuzz SLA configurations define response and resolution time windows per priority level or channel. We export SLA rules as structured metadata and configure Gorgias Rules to enforce equivalent first-response and resolution SLAs. Priority-to-tag mapping from Locobuzz becomes a Rule condition in Gorgias. SLA breach notifications from Locobuzz do not migrate; we document the escalation logic for rebuild as Gorgias Rules with notification actions.
Locobuzz
Tag
Gorgias
Tag / Custom Field
lossyLocobuzz tag taxonomies apply across tickets, customers, and reviews. We export the full tag taxonomy and apply existing tags to migrated records at import time. High-cardinality tag sets (over 100 unique tags) convert to Gorgias custom fields with picklist or text type rather than individual tag values, to avoid overwhelming the Gorgias tag interface. The customer selects the tag strategy during scoping.
Locobuzz
AI Enrichment (AgentIQ sentiment score)
Gorgias
Custom Field
lossyLocobuzz AgentIQ sentiment scoring lives in a separate AI layer from raw ticket records. Where the AI layer is accessible via structured export, we carry forward sentiment scores as a numeric custom field on the Gorgias Ticket. ResponseGenie suggested-reply data does not have a Gorgias equivalent and is documented as a gap for the customer to evaluate Gorgias AI Automate as the replacement workflow.
Locobuzz
Company/Account
Gorgias
Customer (organization-level)
1:1Locobuzz Company records store brand associations and escalation contacts for enterprise accounts. Where a Customer in Locobuzz is linked to a Company, we create an organization-level Customer record in Gorgias and link the individual Customer to it via the customer_type field or a parentCustomer lookup if the Gorgias plan supports it. Some Locobuzz customers use only individual records without explicit company grouping; we handle both patterns based on the customer's data model.
Locobuzz
Social Account
Gorgias
Channel Configuration
1:1Locobuzz Social Account configurations (linked profiles, channel types, routing rules) are workspace-level settings with no Gorgias equivalent. We export the full list of connected social accounts and their routing preferences as a written configuration inventory. The customer manually reconnects each social channel in Gorgias under Settings Integrations (Facebook, Instagram, Twitter/X) and documents routing rules in Gorgias Rules. This is a manual step not included in migration scope.
Locobuzz
Report / Dashboard
Gorgias
Data Export (reconciliation)
lossyLocobuzz analytics dashboards are native visualizations built on aggregated data that cannot be exported as functional reports. We export the underlying data (ticket volumes, resolution times, CSAT scores, sentiment trends) as CSV alongside the migration. The customer rebuilds reports in Gorgias Statistics or connects Gorgias to a BI tool (Metabase, Looker) using the Gorgias API. SLA compliance reports carry forward as custom fields on tickets to support post-migration CSAT and resolution tracking.
Locobuzz
Workflow / Automation
Gorgias
Rule (manual rebuild)
1:1Locobuzz automated routing, escalation, and response rules are platform-specific configurations that do not have a standard export format. We document every active workflow as a written specification including trigger conditions, channel routing logic, escalation paths, and auto-response templates. The customer rebuilds these in Gorgias Rules and Macros. Workflow documentation is delivered alongside the migrated data and is not an automated migration step.
| Locobuzz | Gorgias | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer | Customer1:1 | Fully supported | |
| Conversation | Ticket Comment1:1 | Fully supported | |
| Review | Ticket (converted)lossy | Fully supported | |
| Agent/User | Agent1:1 | Fully supported | |
| SLA Rule | Rulelossy | Fully supported | |
| Tag | Tag / Custom Fieldlossy | Fully supported | |
| AI Enrichment (AgentIQ sentiment score) | Custom Fieldlossy | Fully supported | |
| Company/Account | Customer (organization-level)1:1 | Fully supported | |
| Social Account | Channel Configuration1:1 | Fully supported | |
| Report / Dashboard | Data Export (reconciliation)lossy | Fully supported | |
| Workflow / Automation | Rule (manual rebuild)1:1 | 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.
Locobuzz gotchas
No publicly documented API or export endpoint
Per-user pricing with opaque multi-account add-ons
AI enrichment metadata is stored separately from ticket 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 data dump negotiation
We scope the Locobuzz migration by auditing ticket volume, customer count, review history, agent count, tag taxonomy complexity, SLA rule count, and social account list. Because Locobuzz has no public API, we negotiate a structured data export (JSON preferred, CSV fallback) directly with the Locobuzz team as a precondition. We ask the customer to provide their full contract addendum or billing breakdown during discovery to confirm active seat count and any social account add-ons. We also explicitly assess whether the AI enrichment layer (AgentIQ, ResponseGenie) is accessible in the export.
Object mapping design and Gorgias plan check
We design the mapping between Locobuzz objects and Gorgias objects: Tickets to Tickets, Customers to Customers, Conversations to Comments, Reviews to Tickets (converted), Agents to Agents, Tags to Tags or custom fields, SLA Rules to Rules. We check the customer's Gorgias plan tier during this phase: SLA management requires Advanced or Enterprise; customer organization linking requires specific plan features. We create any required custom fields (sentiment score, review source, review rating) in Gorgias before migration begins. Review conversion logic is documented and validated with the customer before production migration.
Sandbox migration and reconciliation
We run a full migration into a Gorgias trial or sandbox environment using production-like data volume. The customer validates record counts (tickets in, customers in, reviews converted), spot-checks 25-50 random tickets against the Locobuzz source, and confirms that conversation threads appear correctly as comments. Any mapping corrections happen in this phase. We specifically validate review conversion quality and social routing documentation completeness during sandbox sign-off.
Agent and user provisioning
We extract every distinct Locobuzz agent and map by email to Gorgias Agent accounts. Inactive or suspended Locobuzz agents are flagged for exclusion. The customer provisions any missing agent accounts in Gorgias and confirms role assignments (agent, supervisor, admin). This step must complete before ticket import because OwnerId references are required on ticket records in Gorgias.
Production migration in dependency order
We run production migration in record-dependency order: Agents first (validated manually), then Customers (with organization linking resolved), then Tickets (with tag and SLA metadata applied), then Conversation threads as Comments attached to tickets, then Review records converted to Tickets, then Tags applied across migrated records. Each phase emits a row-count reconciliation report before the next phase begins. We use Gorgias REST API with rate-limit handling, exponential backoff, and batch chunking throughout.
Cutover, social channel reconnect, and handoff
We freeze Locobuzz writes during cutover, run a final delta migration of any records modified during the migration window, then enable Gorgias as the system of record. We deliver the social account routing configuration document so the customer's admin can manually reconnect Facebook, Instagram, and other social channels in Gorgias. We deliver the SLA rule rebuild guide, the workflow and automation inventory for manual rebuild in Gorgias Rules and Macros, and the report rebuild recommendations. We support a one-week post-migration window for reconciliation issues. We do not rebuild Locobuzz workflows as Gorgias Rules or provide post-migration admin support beyond documentation delivery and the one-week hypercare window.
Platform deep dives
Locobuzz
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 Locobuzz 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
Locobuzz: Not publicly documented.
Data volume sensitivity
Locobuzz 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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