Helpdesk migration

Migrate from HelpCrunch to Gorgias

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

HelpCrunch logo

HelpCrunch

Source

Gorgias

Destination

Gorgias logo

Compatibility

57%

8 of 14

objects map 1:1 between HelpCrunch and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from HelpCrunch to Gorgias is a platform switch that consolidates customer communication onto an ecommerce-native helpdesk built for Shopify and DTC brands. HelpCrunch organizes data around Customers, Chats, Saved Replies, Email Templates, Articles, and Tags; Gorgias uses Customers, Tickets, Macros, and Knowledge Base equivalents. The structural differences that matter most for migration are: HelpCrunch's 120 req/min API rate limit constrains bulk export speed and must be handled with backoff logic; HelpCrunch's chatbot flows and auto-message trigger rules do not map to Gorgias's rule-and-macro automation model and require rebuild; and Gorgias bills per resolved ticket, which can result in higher monthly costs than HelpCrunch's per-seat model at scale. We extract contact records via REST API or CSV, pull chat transcripts and message history, preserve custom field values, transfer saved replies to Gorgias Macros, export article content and SEO metadata, and reapply tag taxonomy. We do not migrate chatbot flows, auto-message automations, popup configurations, or chat widget installation code as functional assets; we deliver a written inventory of every automation item requiring rebuild 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

HelpCrunch logo

HelpCrunch

What's pushing teams away

  • Reliability concerns and bugs — reviews describe recurring issues with integrations and core features that break unexpectedly, disrupting support workflows.
  • AI capabilities fall short of modern standards — the platform's AI is described as a hybrid of rule-based flows and limited newer AI agents, not competitive with purpose-built AI-first solutions.
  • Constrained feature set on lower tiers — the Basic plan caps automation at 3 auto messages and 3 popups, and lacks AI entirely, pushing teams toward expensive upgrades.
  • Hidden escalation costs for AI — while the Pro plan includes some AI conversations, additional AI chats cost $29/month for just 100 more, which adds up quickly at scale.
  • Limited customization options — G2 reviews cite restrictions on customizing workflows and the chat widget appearance, particularly on lower-priced plans.

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 HelpCrunch objects map to Gorgias

Each row shows how a HelpCrunch 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.

HelpCrunch

Customer

maps to

Gorgias

Customer

1:1
Fully supported

HelpCrunch Customers (contacts with custom properties) map directly to Gorgias Customer records. Standard fields (name, email, phone, userId) transfer as typed fields. Custom properties of type text, number, date, and checkbox map to Gorgias string, number, date, and boolean custom fields respectively. We handle type conversion where HelpCrunch's custom property types differ from Gorgias's field type schema. Customer tags from HelpCrunch transfer as Gorgias Tags applied to the Customer record. HelpCrunch's per-contact notes migrate to Gorgias Customer notes.

HelpCrunch

Chat (Conversation)

maps to

Gorgias

Ticket

1:1
Fully supported

HelpCrunch Chat records map to Gorgias Tickets. Each chat's metadata (timestamp, channel, assignee, status) migrates as structured fields on the Gorgias Ticket. Message content transfers as Ticket comments from the customer and agent sides, preserving the conversation timeline and internal notes. Channel metadata (live chat, email, WhatsApp, Instagram) maps to Gorgias's channel field. Status transitions (open, resolved, pending) map to Gorgias Ticket status values. Chat tags transfer as Gorgias Ticket tags.

HelpCrunch

Saved Replies

maps to

Gorgias

Macro

1:1
Fully supported

HelpCrunch Saved Replies are team-scoped key-value text responses. These map to Gorgias Macros, which support body text with dynamic placeholders (customer name, ticket ID, order number) plus attachable actions (set status, add tag, assign agent). We extract the text content from HelpCrunch Saved Replies and preserve the placeholder structure where it aligns with Gorgias's macro variable syntax. Macro attachment actions (automated status changes, tag additions) require configuration in Gorgias post-migration.

HelpCrunch

Email Template

maps to

Gorgias

Macro (Template variant)

1:1
Fully supported

HelpCrunch Email Templates include subject, body HTML, and variable placeholders. We extract the subject and body content and map variable placeholders to Gorgias Macro placeholder syntax. The HTML body transfers as the Macro body. Email template variables (customer name, ticket ID, custom fields) are preserved as Gorgias-compatible placeholders so templates remain functional post-migration. Template categorization or folders do not have a direct Gorgias equivalent and may require reorganization by category in Gorgias's Macro management UI.

HelpCrunch

Article (Knowledge Base)

maps to

Gorgias

Article

1:1
Fully supported

HelpCrunch WYSIWYG knowledge base articles export with body content, title, metadata, and SEO fields (meta title, meta description). These map to Gorgias Articles with Title, Body, Author, Folder (category), Status (published, draft), and translations fields. The article embedding context—whether the article appeared as a standalone page or inside the HelpCrunch chat widget for contextual self-service—does not transfer automatically. We export article content, metadata, and SEO fields; the placement and widget embedding configuration must be recreated in Gorgias's KB settings post-migration.

HelpCrunch

Auto Message

maps to

Gorgias

Rule

lossy
Fully supported

HelpCrunch Auto Messages include triggered popup content, proactive chat invitations, and behavioral targeting rules. We export the message content and note the trigger logic (behavioral conditions, timing, page targeting). Gorgias's Rule-based automation uses different conditions and triggers than HelpCrunch's behavioral targeting model. The message content transfers; the trigger configuration requires rebuilding in Gorgias Rules. Auto message content is preserved for manual re-implementation in Gorgias's automation builder.

HelpCrunch

Chatbot Flow

maps to

Gorgias

Rule + Macro combination

lossy
Fully supported

HelpCrunch chatbot flows are node-based automation trees with branching logic and rule-based or limited AI agents. Gorgias does not have a direct chatbot flow equivalent; it uses Rule-based Macros and a separate AI Agent product for automated ticket deflection. We export chatbot flow content and structure as a written document describing each node, branch, and action. The customer rebuilds conversation flows as Gorgias Rules combined with Macro sequences or configures the Gorgias AI Agent for the relevant intents. Chatbot flows do not migrate as functional automation.

HelpCrunch

Tag

maps to

Gorgias

Tag

1:1
Fully supported

HelpCrunch Tags are flat string labels applied to Customers and Chats. We export the full tag taxonomy and reapply tag associations during import to Gorgias. Tags on HelpCrunch Customers map to Gorgias Tags on Customer records. Tags on HelpCrunch Chats map to Gorgias Tags on Tickets. Tag management UI differs between platforms; Gorgias manages tags from the Ticket or Customer detail view. We preserve the full tag vocabulary for reapplication at migration time.

HelpCrunch

Custom Property (Field)

maps to

Gorgias

Custom Field

lossy
Fully supported

HelpCrunch custom properties on Customers include types: text, number, date, checkbox, and multi-select. We map these to Gorgias Customer custom fields of equivalent type. String properties map to Gorgias string fields, numbers to Gorgias number fields, dates to Gorgias date fields, and checkboxes to Gorgias boolean fields. Multi-select properties map to Gorgias select or multi-select fields depending on the destination plan's field type support. Custom field metadata (labels, descriptions, display order) migrates as part of the schema mapping.

HelpCrunch

Agent (Team Member)

maps to

Gorgias

Agent

1:1
Fully supported

HelpCrunch Agent records include name, email, and role. We transfer agent profiles to Gorgias Agents with name and email preserved. Role assignments (admin, agent) map to Gorgias Agent permission levels. HelpCrunch does not expose role IDs via API in the same way Gorgias does; we infer role from HelpCrunch's admin flag and map accordingly. Agent permissions and access level configurations must be manually reconfigured in Gorgias post-migration.

HelpCrunch

Channel Configuration

maps to

Gorgias

Integration + Channel

lossy
Fully supported

HelpCrunch unifies live chat, email, WhatsApp, and Instagram into a shared inbox. Channel configuration metadata (not individual messages, which are already captured in Chat-to-Ticket migration) transfers as integration connection records. Each channel—email inbox, live chat widget, WhatsApp business account, Instagram page—must be reconnected in Gorgias Settings with new credentials and webhook configuration. Channel reconnection is a post-migration administrative task.

HelpCrunch

Popup Configuration

maps to

Gorgias

Rule (Triggered Action)

lossy
Fully supported

HelpCrunch Popup configurations include design, timing rules, and behavioral targeting. We export popup content and note the trigger logic. Popup display rules and behavioral targeting do not have a direct Gorgias equivalent; Gorgias's Rule-based automation uses ticket triggers rather than visitor-behavior triggers. Popup content transfers as reference material for rebuilding as part of a broader Gorgias chatbot or Rule configuration. The popup builder UI must be recreated in Gorgias post-migration.

HelpCrunch

Report (Analytics)

maps to

Gorgias

Report

1:1
Fully supported

HelpCrunch Reports (Team Members, Customer Satisfaction, Total Chats) export as CSV or XLSX from the HelpCrunch dashboard. We extract aggregate metrics including ticket counts, response times, CSAT scores, and agent performance data. Gorgias provides native reporting dashboards for ticket volume, response times, CSAT, and agent performance. Aggregate report metrics transfer as reference data; the customer's admin rebuilds the reporting views in Gorgias's native analytics module. Interactive drill-down state and saved report filters do not persist.

HelpCrunch

Widget (Chat Widget)

maps to

Gorgias

Chat Widget

lossy
Fully supported

HelpCrunch chat widgets are customizable per website or application and include widget appearance, behavior settings, and installation code. Widget installation code (JavaScript snippet) is HelpCrunch-platform specific and does not transfer to Gorgias. We document the widget configuration (appearance, colors, behavior settings) and export as a reference specification. The Gorgias chat widget must be installed with a new JavaScript snippet post-migration. Widget customization is rebuilt in Gorgias's widget settings UI.

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.

HelpCrunch logo

HelpCrunch gotchas

High

API rate limit of 120 req/min blocks bulk migrations

Medium

AI conversation caps throttle history migration

Medium

Legacy API key deprecation requires key rotation

Low

Knowledge base articles require manual re-embedding

Low

HelpCrunch branding on chat widget in Basic plan

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

  • HelpCrunch 120 req/min API rate limit extends bulk export time

    HelpCrunch enforces a hard 120 requests per minute limit on its REST API. During a migration involving thousands of contact records or chat transcripts, this rate limit causes export loops to stall and requires backoff-and-retry logic that multiplies the migration window. We handle this by implementing exponential backoff with jitter, chunking large record sets into sequential batches, and pacing requests to stay within the limit while maximizing throughput. Without this handling, bulk exports either time out or return incomplete result sets that require re-running. Teams should allocate additional migration time when exporting from HelpCrunch at scale.

  • Chatbot flows and auto-message automations do not migrate as functional code

    HelpCrunch chatbot flows use a node-based branching logic tree, and auto messages use behavioral targeting rules tied to HelpCrunch's visitor conditions. Gorgias has no direct chatbot flow equivalent—it uses Rule-based automation and a separate AI Agent product. The structural difference means HelpCrunch chatbot flows and auto messages cannot transfer as functional automation. We export chatbot flow content and auto-message content as written documents describing each node, branch, condition, and action. The customer's team rebuilds conversation flows as Gorgias Rules combined with Macros or configures the Gorgias AI Agent for relevant intents. Automations requiring rebuild are documented in the migration handoff deliverable.

  • Gorgias per-ticket pricing requires volume projection before plan commitment

    Gorgias charges by resolved ticket volume per month, not per seat. Starter covers 50 tickets at $10/month, Basic 300 at $60/month, Pro 2,000 at $360/month, and Advanced 5,000 at $900/month. Overage fees apply: Starter $0.40 per extra ticket, Basic and Pro $36-$40 per 100 extra tickets. Teams migrating from HelpCrunch's per-seat model should project their monthly resolved ticket count carefully before selecting a Gorgias plan. Underestimating volume results in overage charges; overestimating means paying for unused ticket capacity. We include a ticket volume analysis in discovery to help size the correct plan.

  • Knowledge base article embedding context does not transfer automatically

    HelpCrunch supports using knowledge base articles as standalone published pages or embedding them inside the chat widget for contextual self-service. When migrating articles to Gorgias, the article body, metadata, and SEO fields transfer, but the embedding context—whether an article appeared inside the HelpCrunch chat widget or as a standalone page—does not carry over. We export article content, folder structure, and SEO metadata; the embedding and placement configuration must be recreated in Gorgias's knowledge base settings. Customers relying on in-widget KB embedding should plan for reconfiguration time post-migration.

  • Legacy API key deprecation in HelpCrunch requires key rotation

    HelpCrunch explicitly warns that the Legacy API Key is compatible only with a legacy REST API that will be discontinued. Any migration script using the old key will stop working when HelpCrunch sunsets that endpoint. We authenticate with the current Public API key sourced from Settings → Developers → Public API in HelpCrunch and verify key validity before beginning the migration. Customers still using Legacy API keys must rotate to the current Public API key before migration can proceed.

Migration approach

Six steps for a successful HelpCrunch to Gorgias data migration

  1. Discovery and scope sizing

    We audit the HelpCrunch account across plan tier, contact volume, chat transcript history depth, custom property count, active saved replies, email templates, knowledge base articles, chatbot flows, and auto-message automations. We pair this with a Gorgias plan sizing analysis based on projected monthly ticket volume to recommend the correct plan tier (Starter, Basic, Pro, or Advanced) before migration begins. The discovery output is a written migration scope document listing every object to be migrated, excluded items, and the recommended Gorgias plan tier.

  2. Schema mapping and Gorgias custom field provisioning

    We design the destination schema in Gorgias before any data transfer. This includes creating custom fields on Customer records to receive HelpCrunch custom properties (with type mapping: text to string, number to number, date to date, checkbox to boolean). We configure Tags, confirm Macro categories, and set up the knowledge base category structure in Gorgias to match HelpCrunch's article folder hierarchy. All schema changes deploy into a Gorgias trial or sandbox environment first for validation before production migration.

  3. Sandbox migration and reconciliation

    We run a full migration into a Gorgias trial or staging environment using production-like data volume. The customer's team reconciles record counts (Customers in, Tickets in, Macros in, Articles in), spot-checks 25-50 random records against HelpCrunch source data, and validates that custom fields, tags, and timestamps transferred correctly. Any mapping corrections—field type mismatches, tag misapplication, article folder placement—happen in the sandbox stage before production migration begins.

  4. Agent reconciliation and permissions pre-check

    We extract every distinct HelpCrunch Agent referenced on Chat, Customer, and Saved Reply records and match by email against the Gorgias destination account's Agent list. Agents without a matching Gorgias account go to a reconciliation queue. The customer's admin provisions any missing Agents in Gorgias and assigns permission levels (admin or agent). Migration cannot complete until all OwnerId references are resolved in the destination. We also verify that the Gorgias account plan supports the required number of active Agents (Starter caps at 3; Basic and above allow unlimited).

  5. Production migration in dependency order

    We run production migration in record-dependency order: Agents (validated), Customers (with custom fields and tags), Tickets (with message history, internal notes, channel metadata, and status mapping), Saved Replies (mapped to Macros with placeholder conversion), Email Templates (mapped to Macros), Knowledge Base Articles (with category and SEO metadata), and Tags (applied to the migrated records). Each phase emits a row-count reconciliation report before the next phase begins. Rate-limit backoff logic runs throughout to handle HelpCrunch's 120 req/min constraint without stalling.

  6. Cutover, validation, and automation rebuild handoff

    We freeze writes in HelpCrunch 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 describing every HelpCrunch chatbot flow, auto message, and popup requiring rebuild in Gorgias's Rule-and-Macro model, along with specific recommendations for each. We support a one-week hypercare window to resolve reconciliation issues. We do not rebuild HelpCrunch automations as Gorgias Rules inside the migration scope; that work is documented and handed off for the customer's team or a Gorgias specialist to implement.

Platform deep dives

Context on both ends of the pair

HelpCrunch logo

HelpCrunch

Source

Strengths

  • Bundles live chat, email marketing, and help desk in a single subscription without per-feature add-ons.
  • Per-user pricing is transparent with no per-contact billing surprises on lower tiers.
  • REST API with Bearer token auth enables programmatic export of contacts, chats, and templates.
  • CSV and XLSX export available directly from the dashboard for contacts and reports.
  • Active migration assistance program offers free transfer of contacts, saved replies, and templates from Intercom, Zendesk, and LiveChat.

Weaknesses

  • 120 req/min API rate limit is restrictive for bulk data exports at scale.
  • AI features are heavily gated: even the Pro plan caps AI conversations at 50/month, with costly add-ons for additional capacity.
  • No documented bulk or batch API endpoint — single-record POST operations require pagination loops.
  • Reliability concerns in user reviews describe bugs in integrations and core features.
  • Knowledge base and popup migrations are only free for contacts, saved replies, email templates, and auto messages; articles and popups require paid assistance.
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 HelpCrunch 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

    HelpCrunch: 120 requests per minute per organization.

  • Data volume sensitivity

    B

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

Estimator

Estimate your HelpCrunch 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 HelpCrunch to Gorgias data migrations

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

Can't find your answer?

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Most migrations land between two and four weeks for accounts under 5,000 contacts and 3,000 tickets with no knowledge base article transfer. Migrations with full chat transcript history, knowledge base article export and re-embedding, multi-channel data (email, chat, WhatsApp, social), or complex saved-reply-to-macro mapping move to five to ten weeks because of API pagination under HelpCrunch's 120 req/min rate limit, content transformation for articles, and reconciliation scope. We provide a timeline estimate after discovery based on actual record volumes and object complexity.

Adjacent paths

Related migrations to explore

Ready when you are

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