Helpdesk migration

Migrate from Locobuzz to Gorgias

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

Locobuzz logo

Locobuzz

Source

Gorgias

Destination

Gorgias logo

Compatibility

58%

7 of 12

objects map 1:1 between Locobuzz and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Locobuzz logo

Locobuzz

What's pushing teams away

  • Slow data loading and page performance frustrate agents during high-volume periods, especially when navigating large ticket queues or running reports.
  • Per-user pricing plus add-on charges for additional social accounts and search queries scale cost unpredictably for large teams.
  • Reporting lacks flexibility—customers report that built-in analytics cannot be easily customized without exporting to external BI tools.
  • Limited transparency around API access and data export makes it difficult for technical teams to integrate Locobuzz into custom workflows.

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 Locobuzz objects map to Gorgias

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

maps to

Gorgias

Ticket

1:1
Fully supported

Locobuzz 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

maps to

Gorgias

Customer

1:1
Fully supported

Locobuzz 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

maps to

Gorgias

Ticket Comment

1:1
Fully supported

Each 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

maps to

Gorgias

Ticket (converted)

lossy
Fully supported

Locobuzz 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

maps to

Gorgias

Agent

1:1
Fully supported

Locobuzz 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

maps to

Gorgias

Rule

lossy
Fully supported

Locobuzz 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

maps to

Gorgias

Tag / Custom Field

lossy
Fully supported

Locobuzz 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)

maps to

Gorgias

Custom Field

lossy
Fully supported

Locobuzz 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

maps to

Gorgias

Customer (organization-level)

1:1
Fully supported

Locobuzz 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

maps to

Gorgias

Channel Configuration

1:1
Fully supported

Locobuzz 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

maps to

Gorgias

Data Export (reconciliation)

lossy
Fully supported

Locobuzz 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

maps to

Gorgias

Rule (manual rebuild)

1:1
Fully supported

Locobuzz 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.

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.

Locobuzz logo

Locobuzz gotchas

High

No publicly documented API or export endpoint

Medium

Per-user pricing with opaque multi-account add-ons

Medium

AI enrichment metadata is stored separately from ticket records

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

  • Locobuzz has no publicly documented API for structured export

    Locobuzz does not publish a public API reference, rate limits, or data export documentation. All migration scoping depends on negotiating a structured data export (CSV or JSON) directly with the Locobuzz team. If no structured export is available, we fall back to UI-based record extraction which limits throughput and extends timeline. We require the data dump as a precondition to migration planning. We flag any AI enrichment layer (AgentIQ, ResponseGenie) that cannot be extracted before migration so the customer understands what sentiment history will carry forward and what will not.

  • Review records require conversion to tickets in Gorgias

    Gorgias does not have a native review management or review monitoring module. Locobuzz review records (Google ratings, social reviews, industry platform reviews) do not map to a first-class Gorgias object. We convert each review to a ticket with source metadata, star rating, and response history preserved. The customer should validate that the converted tickets accurately represent the review context and that their review response workflow aligns with Gorgias ticket-based routing. This is a functional change in how review management operates post-migration.

  • Social account routing does not migrate

    Locobuzz social account configurations and channel 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 document. The customer manually reconnects social channels (Facebook, Instagram, Twitter/X) in Gorgias under Settings Integrations and rebuilds routing rules as Gorgias Rules. This manual step is excluded from migration scope and requires the customer's admin to configure before social channels resume active routing in Gorgias.

  • AI enrichment metadata may not export from Locobuzz

    Locobuzz AgentIQ sentiment scoring and ResponseGenie suggested-reply data live in a separate AI layer from the raw ticket record. Whether this layer is accessible via structured export depends on the negotiated data dump format. If the AI layer is not exportable, sentiment scores will not carry forward and the customer loses the historical sentiment trend data. We explicitly scope this during discovery and flag it before migration so the customer can decide whether to accept the gap or delay migration pending Locobuzz API access.

  • Gorgias per-ticket pricing changes cost structure significantly

    Locobuzz charges per user per month regardless of ticket volume. Gorgias charges per ticket per month, which means costs scale with volume rather than headcount. For high-volume support teams this can be significantly cheaper; for low-volume teams with many agents it can be more expensive. We scope the customer's current monthly ticket volume during discovery and model the Gorgias plan cost (Starter $10 for 50 tickets, Basic $60 for 300, Pro $360 for 2,000, Advanced $900 for 5,000) so the customer understands the post-migration cost picture before committing.

Migration approach

Six steps for a successful Locobuzz to Gorgias data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Locobuzz logo

Locobuzz

Source

Strengths

  • Consolidates social media, reviews, and messaging into a single unified CX inbox for brand teams.
  • Real-time AI sentiment detection and urgency scoring on incoming tickets.
  • Built-in SLA tracking with automated reminders keeps support teams accountable.
  • Review monitoring across Google and major industry platforms with brand response capabilities.
  • AWS-hosted infrastructure with documented scalability improvements (80% reduction in customer response time).

Weaknesses

  • Public API documentation is not publicly accessible, limiting migration tooling options.
  • Performance issues reported at scale—slow data loading in large ticket queues and reports.
  • Pricing scales per user with add-on charges for multi-account social management.
  • Reporting lacks customization depth; power users often export raw data to external BI tools.
  • Data export and portability are not well-documented, making self-service migration difficult.
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 Locobuzz 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

    Locobuzz: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Locobuzz 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.

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FAQ

Frequently asked questions about Locobuzz to Gorgias data migrations

Answers to the questions buyers ask most during Locobuzz 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 20,000 tickets and 5,000 customers with no review history conversion. Migrations with large review histories (over 10,000 review records), complex multi-tier SLA configurations, extensive tag taxonomies, or AI enrichment carry-forward requirements extend to six to ten weeks because of the review-to-ticket conversion, custom field pre-creation, and social routing documentation scope. The primary timeline constraint is Locobuzz data dump negotiation, which is outside our control.

Adjacent paths

Related migrations to explore

Ready when you are

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