Helpdesk migration

Migrate from Helpshift to Gorgias

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

Helpshift logo

Helpshift

Source

Gorgias

Destination

Gorgias logo

Compatibility

67%

8 of 12

objects map 1:1 between Helpshift and Gorgias.

Complexity

CModerate

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Helpshift to Gorgias is a platform shift from a mobile-first support tool to a commerce-native helpdesk. Helpshift treats Issues as the primary record with nested conversation events, device metadata, and Custom Issue Field payloads; Gorgias uses Tickets as the primary record with a Customer object and a ticket-scoped custom field model. We resolve the schema difference by mapping Issues to Tickets, preserving end-user identity, and restructuring Custom Issue Fields as Gorgias Ticket-level custom fields. Attachment files export via the Helpshift REST API, are stored in a migration blob store, and are re-uploaded to Gorgias with ticket linkage. Helpshift Automations and Smart Views are workspace configuration that the REST API does not expose; we document the full ruleset during discovery and deliver it as a manual rebuild checklist for 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

Helpshift logo

Helpshift

What's pushing teams away

  • Issue-based pricing makes costs unpredictable as support volume grows — customers report surprise invoices when issue counts spike seasonally or during product incidents.
  • Migrating automations and Smart Views between environments requires manual reconfiguration since these are not exported as structured data.
  • SDK migration from legacy versions to SDK X is technically involved, and some features like embedded messaging and guided issue filing are not yet supported in SDK X.
  • Limited bulk export options in the dashboard mean large data exports require API workarounds or manual CSV downloads.
  • Analytics export requires navigating multiple sub-sections (Trends, Platforms, Issue-level) with no unified data dump endpoint.

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 Helpshift objects map to Gorgias

Each row shows how a Helpshift 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.

Helpshift

Issue

maps to

Gorgias

Ticket

1:1
Fully supported

Helpshift Issues map directly to Gorgias Tickets. The Issue status (New, Open, Pending, Resolved, Closed) maps to Gorgias Ticket status values with a custom field hs_original_status__c preserving the original Helpshift status. Issue priority (Urgent, High, Medium, Low) maps to a Gorgias priority field. The assignee, created timestamp, updated timestamp, and resolution timestamp all migrate as typed fields. We fetch message content via the Helpshift REST API per Issue (the CSV export omits message bodies), then reconstruct conversation threads as Gorgias Ticket comments.

Helpshift

User (End-user)

maps to

Gorgias

Customer

1:1
Fully supported

Helpshift End-users map to Gorgias Customers. We preserve email address (the primary dedupe key), name, and any metadata fields present in the user profile. User identity is critical here: if the Helpshift deployment used legacy SDK versions below 6.x, some users will appear as anonymous and we flag this in the data audit. Note that Gorgias Customers are separate from Tickets; the Customer holds contact information and a timeline of associated Tickets.

Helpshift

Agent

maps to

Gorgias

Agent

1:1
Fully supported

Helpshift Agents map to Gorgias Agents. We export agent identity (name, email, role — Admin, Supervisor, Agent) and group associations. Agent-to-issue assignments migrate as Ticket assignee assignments. We resolve agents by email match and flag any Helpshift agent without a matching Gorgias user for admin provisioning before the ticket import phase.

Helpshift

Custom Issue Field

maps to

Gorgias

Custom Field (Ticket-scoped)

lossy
Fully supported

Custom Issue Fields (CIFs) from Helpshift require schema redesign for Gorgias. Helpshift CIFs attach per-app to Issues; Gorgias custom fields are scoped to Ticket or Customer via the object_type parameter. We create Ticket-scoped custom fields in Gorgias during setup and map CIF key-value pairs from each Helpshift Issue. Dropdown-type CIFs in Helpshift cap at 1,000 options; if a CIF exceeds this, we split it into multiple fields or switch to a text-type field in Gorgias. We validate all CIF option counts during the mapping phase before import.

Helpshift

App

maps to

Gorgias

Inbox / Channel

lossy
Fully supported

Helpshift Apps define SDK configuration and which issue streams feed a particular inbox. Multiple Helpshift apps can feed a single inbox. We document which apps exist and how they map to Gorgias channels (email inboxes, chat widgets, social channels) during discovery. Each channel in Gorgias corresponds to a support channel type rather than an app; the customer configures channel routing in Gorgias Settings.

Helpshift

FAQ / FAQ Section

maps to

Gorgias

Help Center Article / Category

1:1
Fully supported

Helpshift FAQs and FAQ Sections export via the REST API with article body text, section hierarchy, and publication state preserved. We create Gorgias Help Center categories from Helpshift FAQ Sections and articles from Helpshift FAQ entries. Article URL slugs are recomputed in Gorgias; we document the mapping from Helpshift FAQ ID to Gorgias article ID for any referenced links. FAQ search relevance and tag-based routing do not carry over and require reconfiguration in Gorgias.

Helpshift

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Helpshift Tags attach to Issues as a flat label list. Tags export with their associated Issue IDs. We import tags into Gorgias and apply them to the corresponding Tickets. Tags that do not yet exist in Gorgias are created during migration. No transformation is required; the tag semantics are preserved across platforms.

Helpshift

Automations

maps to

Gorgias

Rules (manual rebuild)

lossy
Mapping required

Helpshift Automations (auto-tagging, auto-assigning, auto-replies triggered on issue events) are workspace-level configuration not exposed by the REST API. We document the full automation ruleset — trigger type, conditions, and resulting actions — during the discovery walkthrough. This documentation is delivered as a Gorgias Rules equivalent specification so the customer's admin can rebuild each automation in Gorgias Rule Builder. We do not migrate Automations as executable code.

Helpshift

Smart Views / Queues

maps to

Gorgias

Views (manual rebuild)

lossy
Fully supported

Helpshift Smart Views (saved filter sets that organize Issues into queues) and Queues (routing and priority definitions) are workspace configuration. The REST API does not expose these as structured data. We document the filter criteria, sort order, and display columns for each Smart View and deliver a step-by-step rebuild guide for Gorgias Views. This is manual work estimated at 1-3 days depending on Smart View count and complexity.

Helpshift

Chat / Message History

maps to

Gorgias

Ticket Comments

1:1
Mapping required

Helpshift conversation messages are nested events within Issues. We export messages via the REST API as a flattened timeline per Issue, then insert them as Comments on the corresponding Gorgias Ticket. Each comment preserves the author (agent or customer), message body, timestamp, and channel type (chat, email, push). We reconstruct the chronological conversation order using the message timestamp.

Helpshift

Attachment

maps to

Gorgias

Ticket Attachment

1:1
Fully supported

Attachments on Helpshift Issues export as file references with metadata. Large binary files may exceed API payload limits during export. We download attachments to a migration blob store, then re-upload them to Gorgias and attach them to the corresponding Ticket. Attachment file names and original upload timestamps are preserved. We flag any attachment exceeding Gorgias size limits during the audit phase.

Helpshift

Conversational User Metadata

maps to

Gorgias

Customer Attribute (annotation)

1:1
Mapping required

Helpshift tracks user-level metadata including device platform, app version, and language attached to Issues rather than stored as a standalone object. We preserve this by annotating a set of custom fields on the Gorgias Customer record (device_platform__c, app_version__c, user_language__c) populated from the Helpshift issue user metadata at migration time. This ensures the device and app context that Helpshift agents relied on is visible 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.

Helpshift logo

Helpshift gotchas

High

Issue-based pricing is migration-critical for billing planning

High

Automations and Smart Views are not exported via API

High

SDK X migration breaks end-user identity from legacy SDK versions below 6.x

Medium

Custom Issue Field dropdowns cap at 1,000 options

Medium

Dashboard CSV export does not include attachments or full message threads

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

  • Issue-volume pricing in Helpshift inflates scoping for Gorgias ticket capacity

    Helpshift charges per resolved or created Issue depending on plan tier. When migrating OUT of Helpshift to Gorgias, customers frequently discover that their Helpshift issue count was inflated by bot-generated issues, duplicate submissions, or SDK-initiated system events. A brand seeing 8,000 Helpshift Issues per month may have only 3,500 unique customer-initiated support requests. We audit issue volume, resolution rate, and channel breakdown during discovery so the Gorgias plan is scoped to actual agent-handled ticket volume rather than an inflated Helpshift figure. Conversely, migrating INTO Helpshift requires estimating future issue volume to avoid mid-month plan overages.

  • Helpshift Automations and Smart Views are not exported via API

    Helpshift Automations (auto-tagging, auto-assigning, auto-replies) and Smart Views (saved filters) are workspace-level configuration stored in the Helpshift dashboard. The REST API does not expose these as structured exportable data. We handle this by documenting the full automation and Smart View ruleset during the discovery phase, then manually re-implementing them in Gorgias. This adds 1-3 days of manual rebuild effort depending on environment count and must be planned upfront. We deliver a written inventory with Gorgias Rule Builder equivalent steps for each automation and filter rebuild.

  • Dashboard CSV export omits message threads and attachments

    The Helpshift dashboard Export Data feature produces a CSV of Issues but does not include attachment files or full conversation message bodies. The REST API must be used to fetch message content per Issue, and attachments must be downloaded separately. We use the API for message and attachment extraction, then merge the results with the CSV export. This two-step fetch must be accounted for in migration timeline estimates, especially for large issue volumes (above 10,000 Issues). We implement exponential backoff and batch chunking against the Helpshift API rate limits documented in the developer guide.

  • Legacy SDK X migration breaks end-user identity for issues from SDK versions below 6.x

    If a customer migrated from the legacy Helpshift SDK (versions below 6.x) to SDK X, logged-in user information is not preserved — end-users appear as anonymous in SDK X. Issues associated with anonymous users from a legacy SDK period cannot have user identity restored. We check SDK version history during migration scoping and flag this gap in the data audit. If historical issue ownership matters for the migration scope (for example, linking unresolved issues to the correct customer in Gorgias), we advise on whether those records should be excluded from migration or re-attributed manually.

  • Gorgias custom fields require explicit object_type scoping at creation

    Gorgias custom fields are scoped to Ticket or Customer via the object_type parameter (enum: Ticket, Customer). Custom fields cannot be created as universal across both objects. During mapping, we must decide whether each Helpshift Custom Issue Field maps to a Ticket-scoped or Customer-scoped Gorgias custom field. CIFs that represent persistent customer attributes (device platform, plan tier, account segment) map to Customer fields. CIFs that represent issue-specific attributes (issue category, bug severity, feature area) map to Ticket fields. This scoping decision must be made before schema creation in Gorgias and is validated in the sandbox migration phase.

Migration approach

Six steps for a successful Helpshift to Gorgias data migration

  1. Discovery and issue volume audit

    We audit the source Helpshift account across app count, total issue volume, issue status distribution, resolution rate, agent count, Custom Issue Field schemas (per app), FAQ and FAQ Section count, active Automation count, Smart View count, and attachment volume. We run a parallel API fetch to estimate message body retrieval time and identify any rate-limit responses. The discovery output is a written migration scope document that includes the recommended Gorgias plan tier based on audited monthly ticket volume, the object mapping specification, the CIF-to-custom-field scoping decisions, and the automation rebuild handoff list.

  2. Schema setup and sandbox migration

    We create the Gorgias custom fields in the customer's sandbox or trial account, scoped to Ticket or Customer per the mapping decisions. We set up agent accounts, match agents by email to the Helpshift agent list, and configure channel routing (email, chat, social) corresponding to the source Helpshift app and inbox structure. We run a full sandbox migration with a representative data sample (typically the most recent 30 days of Issues) and reconcile record counts, field values, and attachment presence before expanding to the full dataset.

  3. Data extraction in dependency order

    We extract data from Helpshift in record-dependency order using the REST API. End-users and Agents are extracted first (to establish the customer and agent identity maps). Issues are extracted as a base CSV supplemented by per-issue message API calls. Custom Issue Field values are extracted per Issue alongside the base record. FAQ and FAQ Section content is extracted separately. Attachments are downloaded to a migration blob store with ticket ID and original filename metadata. We implement batch chunking and exponential backoff against the Helpshift API throughout.

  4. Data transformation and field mapping

    We transform the extracted Helpshift data into Gorgias API payload format. Issues become Tickets with the resolved status, assignee, and timestamps preserved. Custom Issue Field values are mapped to the corresponding Gorgias custom fields created during schema setup. Message threads are flattened into Ticket comments with author and timestamp. End-user metadata is written to Customer-level custom fields. Tags are applied to Tickets by name lookup (creating missing tags in Gorgias if required). Each transformation step emits a row-count report for reconciliation.

  5. Production migration with cutover

    We run the production migration into the live Gorgias account after sandbox sign-off. Attachment files are uploaded to Gorgias and linked to their corresponding Tickets. FAQ content is published to the Gorgias Help Center with category hierarchy preserved. We freeze Helpshift writes during the cutover window, run a final delta fetch of any Issues modified during migration, and apply the delta to Gorgias. The customer enables Gorgias as the system of record after validating a random sample of migrated records against the Helpshift source.

  6. Automation rebuild handoff and post-migration support

    We deliver the Automation and Smart View documentation as a structured handoff document with step-by-step rebuild instructions for Gorgias Rules and Views. The customer's admin team implements the rebuilds. We provide a one-week hypercare window to resolve any data quality issues discovered after cutover. We do not rebuild Helpshift Automations as Gorgias Rules as part of the standard migration scope; that work is manual and is scoped separately if the customer requests it.

Platform deep dives

Context on both ends of the pair

Helpshift logo

Helpshift

Source

Strengths

  • Mobile-native SDK embeds support directly inside iOS and Android apps with no portal redirect.
  • AI chatbot with intent classification and machine translation reduces agent handling time on high-volume queries.
  • Issue-level analytics with Trends and Platform Summary reports surface support performance across channels.
  • Automation and Workflow Management features handle bulk issue operations like auto-tagging and auto-resolving.
  • REST API exposes core objects (Issues, FAQs, Agents, Users) for programmatic access and integration.

Weaknesses

  • Issue-based pricing model creates unpredictable costs as support volume grows — not a flat-seat model.
  • No native bulk data export in the UI for large volumes — API or manual CSV export required.
  • SDK migration from legacy Helpshift SDK to SDK X drops support for embedded messaging, guided issue filing, and theme customization.
  • Automations, Smart Views, and Queues are workspace configuration, not record data — they require manual rebuild in the destination.
  • Limited documented rate-limit information makes high-volume migration exports difficult to plan reliably.
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 Helpshift 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

    Helpshift: Not publicly documented — customers report variable throttling under high-volume API calls.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Helpshift 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 Helpshift to Gorgias data migrations

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

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Migrations under 5,000 Issues with a single app, fewer than ten Custom Issue Fields, and no large attachment volumes typically complete in one to two weeks. Migrations above 20,000 Issues, multiple app configurations, complex CIF schemas per app, and attachment volumes over 50 GB move into three to five weeks because of the two-step message fetch (CSV plus per-issue API), blob storage handling, and the manual automation documentation work that runs in parallel.

Adjacent paths

Related migrations to explore

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