Helpdesk migration

Migrate from Hiver to Gorgias

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

Hiver logo

Hiver

Source

Gorgias

Destination

Gorgias logo

Compatibility

67%

8 of 12

objects map 1:1 between Hiver and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Hiver to Gorgias is a channel-model and pricing-structure migration as much as a data transfer. Hiver structures its entire data model around Gmail threads inside Shared Inboxes; Gorgias uses a ticket-based model designed for e-commerce omnichannel workflows where agents resolve order-related tickets without leaving the helpdesk. We map Hiver's Shared Inbox and Conversation structure to Gorgias's Team and Ticket hierarchy, preserve Tags as Labels, and convert Shared Notes to internal Gorgias notes. Hiver's Automations have no export path and must be reconstructed manually — we deliver a written inventory of every active rule so the customer's team can rebuild. Gorgias's per-ticket pricing model (versus Hiver's per-seat model) requires volume modeling before cutover so the team is not surprised by overage charges during seasonal spikes.

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

Hiver logo

Hiver

What's pushing teams away

  • The reporting module is shallow compared to standalone helpdesk platforms — teams that graduate to needing multi-dimensional analytics, custom dashboards, or historical SLA trending find Hiver's native reports insufficient.
  • Performance inconsistencies appear when opening emails that do not pull the Hiver overlay correctly, frustrating agents who rely on instant context switching inside Gmail.
  • Teams that need multi-channel support beyond email and WhatsApp find Hiver's channel coverage limited — live chat, phone, and social channels are either absent or require third-party integrations.
  • When migrating away, the lack of a bulk automation export means every Automation rule must be manually reconstructed in the destination platform, making the migration project significantly larger than expected.

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 Hiver objects map to Gorgias

Each row shows how a Hiver 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.

Hiver

Shared Inbox

maps to

Gorgias

Team

lossy
Fully supported

Hiver's Shared Inboxes are the top-level container for Conversations and map to Gorgias Teams. We extract inbox names and membership during export, then configure equivalent Teams in Gorgias with the same agent roster. Team names and default assignment routing transfer. Note that Gorgias Teams are scoped to the account rather than tied to a specific email channel — routing rules in Gorgias are configured per channel rather than per inbox.

Hiver

Conversation

maps to

Gorgias

Ticket

1:1
Fully supported

Hiver Conversations (Gmail threads inside a Shared Inbox) map to Gorgias Tickets. We preserve subject, assignee, status (open/pending/closed), tags, and the full message thread. Hiver's conversation status maps to Gorgias's ticket state: open and pending map directly; closed maps to resolved or closed per the customer's preference. The original message timestamp becomes the ticket created_at.

Hiver

Shared Note

maps to

Gorgias

Internal Note (Ticket Comment)

1:1
Fully supported

Hiver Shared Notes are internal comments attached to a conversation, visible to all team members. We export them as internal ticket comments in Gorgias. During scoping we confirm with the customer whether each Shared Note should be internal-only or whether some should be public replies. This is a manual decision point because the visibility intent in Hiver does not have a structured export field.

Hiver

Contact

maps to

Gorgias

Customer

1:1
Fully supported

Hiver exports Contacts as a discrete data type from the account address book, separate from contacts embedded in conversation threads. We handle both exports and deduplicate where a contact appears in both. The Customer object in Gorgias holds name, email, phone, language, timezone, and any custom fields. We map email as the dedupe key for customer matching.

Hiver

Tag

maps to

Gorgias

Label

1:1
Fully supported

Hiver Tags are flat labels applied to conversations for categorization. We extract the full tag taxonomy and reapply them as Labels in Gorgias. Tags on individual messages within a thread migrate as Labels on the parent Ticket. The flat tag structure in Hiver maps directly to Gorgias Labels without hierarchy transformation.

Hiver

Email Template

maps to

Gorgias

Macro

lossy
Fully supported

Hiver Email Templates (discrete objects with body, subject variables, and conditional logic) map to Gorgias Macros. We preserve template body and subject. Gorgias's macro engine supports the same variable substitution model (customer name, ticket ID, order number). Note that Hiver templates with complex conditional logic may require simplification in Gorgias; we flag these during the pre-migration audit.

Hiver

Shared Draft

maps to

Gorgias

Draft Ticket Comment

1:1
Fully supported

Hiver Shared Drafts are unsent email replies saved within a Conversation. We export them as draft records. Whether the destination platform accepts drafts in bulk import depends on Gorgias's API support at the time of migration — we validate this during scoping and flag whether draft records will migrate as resolved tickets or be documented for manual follow-up.

Hiver

Agent / User

maps to

Gorgias

Agent

1:1
Fully supported

Hiver Agent records (name, email, assignment permissions) map to Gorgias Agents. We export the user roster and map roles to equivalent permission structures in Gorgias. Owner assignment on Hiver Conversations carries forward as the assigned Agent on the Gorgias Ticket. Agents without a matching account in Gorgias go to a reconciliation queue for the customer's admin to provision before the ticket import phase.

Hiver

SLA Policy

maps to

Gorgias

SLA Rule

lossy
Fully supported

Hiver SLA policies define business hours and response/resolution deadlines enforced at the Shared Inbox level. We extract SLA configuration and map it to Gorgias SLA Rules, which can be configured per channel and priority. Hiver's business hours settings migrate to Gorgias's schedule configuration.

Hiver

Custom Field (Conversation)

maps to

Gorgias

Custom Field (Ticket)

lossy
Fully supported

Hiver Custom Fields on conversations (commonly used for structured data captured via AI Extract, such as order IDs or product names) map to Gorgias Ticket Custom Fields. We export the field schema and values. Gorgias supports string, boolean, number, and date custom field types. We map each Hiver custom field to the equivalent Gorgias type and pre-create the field schema before the ticket import phase.

Hiver

CSAT Survey

maps to

Gorgias

Satisfaction Survey

1:1
Fully supported

CSAT survey responses and aggregate scores tied to resolved Hiver conversations map to Gorgias Satisfaction Surveys. We export response data and scores. Survey configuration (questions, rating scale, trigger conditions) does not migrate and must be reconstructed in Gorgias — we document the original survey setup during the pre-migration audit for the customer's admin to rebuild.

Hiver

Analytics Report

maps to

Gorgias

Support Statistics

1:1
Fully supported

Hiver Analytics Reports export as CSV with customizable fields. We extract available report data but note that historical analytics pre-export are not back-filled — Hiver's analytics export captures data going forward from the export date only. We recommend the customer download any historical reports they need before the migration window. Post-migration, analytics begin fresh in Gorgias.

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.

Hiver logo

Hiver gotchas

High

Automations have no export path

Medium

Seat minimums and block upgrades affect final pricing

Medium

AI add-on is priced separately at $20/seat/month

Low

Analytics export is forward-looking only

Low

Shared Notes visibility intent must be confirmed

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

  • Hiver Automations have no export path and must be manually rebuilt

    Hiver's own data export documentation lists Conversations, Email Templates, Shared Drafts, and Contacts as exportable — Automations are not included. There is no API endpoint for bulk automation export. Every Automation rule a team has built (auto-assignments, tag triggers, SLA reminders, AI Extract steps, sentiment-based routing) must be manually reconstructed in Gorgias as Macros and Rules. We document all automation logic during the pre-migration audit so the customer has a complete inventory of every rule to rebuild. Teams that rely heavily on Hiver Automations should budget two to four weeks of admin time post-migration for reconstruction.

  • Gorgias per-ticket pricing requires volume modeling before migration

    Gorgias charges per Billable Ticket, not per seat. Plans start at $60/month for 300 tickets (Basic) and $360/month for 2,000 tickets (Pro). Overage charges are $0.36-0.40 per ticket, which can be painful during peak seasons like Black Friday or product launches. A team that handled 800 tickets/month on Hiver (at 4 agents, $49/seat) may find their Gorgias bill changes significantly depending on ticket-per-agent ratios. We model ticket volume against Gorgias plan tiers during scoping so the customer is not surprised. Additionally, Gorgias AI Agent resolutions are double-billed — the AI resolution counts as both an AI Agent cost and a helpdesk ticket.

  • Hiver analytics export is forward-looking only; historical reports must be downloaded before migration

    Hiver's CSV-based analytics export captures report data going forward from the export date. Historical SLA, CSAT, and volume reports prior to the export date are not accessible via bulk export. We tell customers that their historical reporting begins from the migration date in Gorgias, and we recommend they download any historical analytics they need before the migration window. This is a one-time data grab that must happen before cutover.

  • Hiver AI add-on features have no Gorgias equivalent for AI Extract structured data capture

    Hiver's AI Extract feature (structured data from emails, such as order IDs, tracking numbers, or product names captured via AI and written to custom fields) has a different implementation model in Gorgias. Gorgias uses Rules with conditions and macro actions rather than a dedicated AI Extract step. Teams using Hiver AI Extract to populate custom fields will need to rebuild that logic as Gorgias Rules, which may require a different workflow pattern. We document all active AI Extract configurations during the pre-migration audit.

  • Gorgias Help Desk Migration app does not natively support Hiver as a source

    Gorgias's native Help Desk Migration app in the App Store supports migrations from platforms like Zendesk, Freshdesk, and Intercom — but Hiver is not listed as a supported source platform. This means the migration must be handled via FlitStack AI's direct API extraction from Hiver and API insertion into Gorgias rather than through Gorgias's bundled migration tool. We coordinate with Gorgias support for any post-migration integration issues since the native migration app is not in scope.

Migration approach

Six steps for a successful Hiver to Gorgias data migration

  1. Discovery and scoping audit

    We audit the source Hiver account across all Shared Inboxes, counting active Conversations, resolved tickets, Tags, Email Templates, Shared Drafts, Custom Fields, SLA policies, CSAT survey configurations, and active Agent accounts. We also extract a complete inventory of every Hiver Automation rule (trigger, conditions, actions, AI Extract steps) — this is a manual extraction step since no bulk export exists. We pair this with a Gorgias destination configuration review: plan tier recommendation (Starter through Enterprise), channel setup, Team structure, and custom field schema. The discovery output is a written migration scope and a Gorgias plan recommendation based on ticket volume modeling.

  2. Automation inventory documentation

    We document every active Hiver Automation in a structured inventory that maps each rule to a Gorgias equivalent: trigger conditions map to Rule conditions, actions map to Macro actions, and AI Extract steps map to Rules with data extraction logic. This document is delivered to the customer's admin team as the handoff artifact for post-migration rebuild. We do not rebuild automations inside Gorgias as part of the migration scope.

  3. Schema pre-creation and ticket-channel mapping

    We pre-create the Gorgias destination schema: Teams (mapped from Hiver Shared Inboxes), Labels (mapped from Hiver Tags), Custom Fields (mapped from Hiver conversation custom fields), SLA Rules (mapped from Hiver SLA policies), and Macros (mapped from Hiver Email Templates with variable substitution preserved). We also configure the ticket-channel mapping — Hiver Conversations are all email-channel tickets in Gorgias, and any Shared Inbox that corresponds to a different channel (WhatsApp, live chat) is tagged accordingly for the customer's admin to finalize routing rules.

  4. Sample migration and reconciliation

    We run a test migration of a representative sample of Hiver data (typically 100-200 conversations, 50-100 contacts, 20-50 tags) into a Gorgias sandbox or trial account. The customer's support lead reconciles record counts, spot-checks conversation thread integrity (message ordering, Shared Notes visibility), contact deduplication results, and tag relabeling. Any mapping corrections — particularly around custom field type mismatches, Shared Note visibility intent, and draft handling — happen at this stage before the full migration.

  5. Agent reconciliation and provisioning

    We extract every distinct Hiver Agent referenced on Conversations and match by email against the Gorgias destination account's agent roster. Any Hiver Agent without a matching Gorgias account goes to a reconciliation queue. The customer's Gorgias admin provisions missing agents before the ticket import phase begins, since OwnerId assignment on migrated tickets requires an active agent reference.

  6. Full production migration in dependency order

    We run production migration in record-dependency order: Agents (validated), Customers (deduped by email), Labels (full taxonomy), Macros (full template library), Custom Fields (schema deployed), SLA Rules (configuration), then Tickets (Conversations mapped with thread history, Shared Notes, tags, assignee, status, and timestamps). Shared Drafts migrate where the destination API supports draft records; otherwise they are documented for manual follow-up. Each phase emits a row-count reconciliation report before the next phase begins.

  7. Cutover, validation, and post-migration handoff

    We freeze Hiver 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 Automation Inventory document to the customer's admin team for Rules and Macros rebuild. We support a three-day hypercare window where we resolve any ticket mapping or contact deduplication issues. We do not configure Gorgias channel integrations (Shopify, live chat widget, social channels) or rebuild Hiver Automations as Gorgias Rules inside the migration scope — those are separate configuration tasks.

Platform deep dives

Context on both ends of the pair

Hiver logo

Hiver

Source

Strengths

  • Runs entirely inside Gmail — no portal to switch to, agents stay in their inbox
  • Shared inbox and conversation assignment give managers real-time visibility of team workload
  • Automation rules with trigger/condition/action logic require no developer involvement to build
  • 2-seat minimum with block-based upgrades keeps pricing predictable for small teams
  • AI features (summarizer, sentiment analysis, AI Extract) are add-on priced and not forced on all tiers

Weaknesses

  • Automation rules cannot be exported — every rule must be manually rebuilt at the destination
  • Native reporting is shallow compared to standalone helpdesk platforms like Zendesk or Freshdesk
  • Performance inconsistencies when the Hiver Chrome extension does not load correctly on email open
  • Multi-channel coverage beyond email and WhatsApp is limited — live chat, phone, and social are gaps
  • The standalone web app is still under development, meaning the Chrome extension is currently required
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 Hiver 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

    Hiver: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Hiver 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 Hiver to Gorgias data migrations

Answers to the questions buyers ask most during Hiver to Gorgias migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for accounts under 50,000 conversations with no custom objects and a clean agent roster. Migrations with active Hiver Automations requiring full inventory documentation, multi-Shared-Inbox structures needing Team-level configuration in Gorgias, or large tag taxonomies requiring label taxonomy mapping move to six to ten weeks because of the automation handoff scope and custom field schema pre-creation work.

Adjacent paths

Related migrations to explore

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