Helpdesk migration

Migrate from Helpy to HubSpot Service Hub

Field-level mapping, validation, and rollback between Helpy and HubSpot Service Hub. We move data and schema; workflows are rebuilt natively in HubSpot Service Hub.

Helpy logo

Helpy

Source

HubSpot Service Hub

Destination

HubSpot Service Hub logo

Compatibility

58%

7 of 12

objects map 1:1 between Helpy and HubSpot Service Hub.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Helpy and HubSpot Service Hub take opposite approaches to data portability. Helpy has no public REST API and requires all bulk data to pass through its CSV import layer, with category hierarchies and ticket reply threads managed as separate import passes. HubSpot Service Hub exposes a full REST and Bulk API for Contacts, Tickets, Conversations, and Knowledge Base articles, but its Help Desk Migration documentation flags several structural limitations: groups, inline images, CC fields, and user conversations are explicitly excluded from standard migration paths. We work within both constraints. We transform Helpy's CSV exports into HubSpot API payloads, preserve reply thread order through timestamp-sequenced inserts, create the Knowledge Base category tree in HubSpot first so articles land in the correct hierarchy, and provision HubSpot Users before assigning tickets to agents. We do not migrate automations, triggers, or SLAs as code; we deliver a written inventory of every Helpy automation rule for the customer's admin to rebuild in HubSpot Workflows.

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

Helpy logo

Helpy

What's pushing teams away

  • The platform lacks a mature REST API, making real-time integrations and automated data pipelines difficult to implement.
  • As ticket volume grows, the flat data model and limited reporting require workarounds to get the analytics teams need.
  • Feature development has slowed in recent cycles, leaving teams waiting for improvements in areas like mobile apps and SLA tooling.
  • Self-hosting is appealing but the operational overhead of maintaining the infrastructure falls on the internal team.
  • Limited third-party integrations compared to established platforms like Zendesk or Freshdesk means teams eventually consolidate onto a more connected stack.

Choosing

HubSpot Service Hub logo

HubSpot Service Hub

What's pulling them in

  • Unified CRM context means every support ticket links directly to the Contact and Company record without a separate integration
  • Free tier provides unlimited support seat access with basic ticketing and a shared inbox for small teams to validate fit before committing
  • Omnichannel routing consolidates email, live chat, Facebook Messenger, WhatsApp, and Instagram DM into one queue
  • Built-in customer success workspace gives health scores and portfolio views that other standalone helpdesks cannot match
  • AI-powered Breeze agent automates common resolutions and surfaces knowledge base articles without agent intervention

Object mapping

How Helpy objects map to HubSpot Service Hub

Each row shows how a Helpy object lands in HubSpot Service Hub, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Helpy

Customer

maps to

HubSpot Service Hub

Contact

1:1
Fully supported

Helpy Customers map to HubSpot Contacts. We extract Customer records from Helpy's CSV export (headers: name, email, company, locale) and post them to HubSpot via the Contacts API. The HubSpot Contact's email field serves as the dedupe key. Company name from Helpy becomes a Company association in HubSpot, resolved by matching domain or exact company name to an existing HubSpot Company record if one exists.

Helpy

Ticket

maps to

HubSpot Service Hub

Ticket

1:1
Fully supported

Helpy Tickets map directly to HubSpot Tickets. We map Helpy ticket fields (subject, body, priority, status, assignee) to HubSpot Ticket properties (subject, content, hs_ticket_priority, hs_ticket_status). Helpy channel (email, web, chat) maps to HubSpot's inbox_source property. The Helpy ticket number is preserved as a custom property helpt_ticket_id__c for reconciliation against the source system.

Helpy

Ticket Reply

maps to

HubSpot Service Hub

Conversation / Ticket Reply

1:1
Fully supported

Helpy Ticket Replies are a standalone CSV type referenced by parent ticket number. We sort all replies by created_at timestamp before formatting, verify that the parent ticket exists in HubSpot by helpt_ticket_id__c, and post each reply to the HubSpot ticket's conversation timeline in chronological order. Replies arriving out of order or referencing a non-existent parent ticket are held in a reconciliation queue for manual resolution before the pass completes.

Helpy

Category

maps to

HubSpot Service Hub

Knowledge Base Section

1:1
Fully supported

Helpy Categories are a discrete import type that organizes the Knowledge Base. We import all Helpy Categories into HubSpot as Knowledge Base Sections before the Docs pass begins. This sequencing is mandatory because HubSpot Knowledge Base articles require a Section assignment at creation time, and Helpy Docs reference category IDs in their CSV payload. We record the HubSpot Section IDs produced by the import pass and map them forward to the Docs pass.

Helpy

Knowledge Base Doc

maps to

HubSpot Service Hub

Knowledge Base Article

1:1
Fully supported

Helpy Docs (KB articles) map to HubSpot Knowledge Base articles. We extract article content from Helpy, apply HubSpot's required markdown or HTML format, and wire each article to its corresponding HubSpot Section ID resolved from the Category pass. HubSpot's own migration guide recommends using their pre-built Knowledge Base importer for KB articles; we use their CSV-based bulk import workflow where available, or the API where the importer is not suitable for the customer's article volume.

Helpy

Agent / Staff

maps to

HubSpot Service Hub

User

1:1
Fully supported

Helpy Agent records are not a standalone CSV import type, so agents must be provisioned in HubSpot before ticket assignee mapping can complete. We extract every distinct agent email and name referenced on Helpy tickets, provision corresponding HubSpot User accounts via the HubSpot Users API, and map the Helpy assignee reference to the HubSpot User ID by email lookup at migration time. Inactive or departed agents are provisioned as inactive HubSpot Users so historical assignment data is preserved.

Helpy

Tag

maps to

HubSpot Service Hub

Tag

1:1
Fully supported

Helpy ticket tags map to HubSpot Ticket Tags. We audit the target Helpy instance's tag configuration during discovery (tag support in CSV varies by installed version), extract all distinct tag values from ticket records, and create corresponding HubSpot Tags before the ticket import pass. Tags are assigned to tickets as a post-import batch using HubSpot's Tags API. If tags span multiple tag categories in Helpy (e.g., topic tags and status tags), we prefix tag names with the category to avoid collisions in HubSpot.

Helpy

Attachment

maps to

HubSpot Service Hub

File (via CDN reference)

lossy
Fully supported

Helpy's CSV import does not support inline attachments, and HubSpot's own migration guide explicitly flags that inline images cannot be migrated. We flag all attachment-heavy tickets during scoping, extract files to a managed CDN bucket, and provide a post-migration reference table mapping each ticket to its CDN-hosted files. The customer's admin pastes the CDN links into ticket replies in HubSpot as a manual post-migration step.

Helpy

Custom Ticket Field

maps to

HubSpot Service Hub

Custom Ticket Property

lossy
Fully supported

Helpy supports some custom metadata on tickets but the CSV schema for custom fields varies by installation. We audit the target Helpy instance's custom field configuration during discovery, create equivalent custom properties in HubSpot via the Ticket Properties API before migration begins, and map or flag fields that cannot be expressed in HubSpot's property schema (e.g., multi-select arrays that exceed HubSpot's picklist length limits).

Helpy

Workflow / Automation

maps to

HubSpot Service Hub

Workflow (rebuild required)

lossy
Fully supported

Helpy automations (triggers and rules) are not exportable via CSV and have no documented API for bulk extraction. We document the existing automation logic during discovery, capturing trigger conditions, action types, and delay rules. We deliver a written inventory of every Helpy automation with a recommended HubSpot Workflow equivalent (e.g., ticket-assignment rules map to HubSpot Ticket Property workflows; SLA rules map to Service Hub SLA policies). The customer's admin rebuilds automations in HubSpot post-migration; this is not included in standard migration scope.

Helpy

SLA / Support Plan

maps to

HubSpot Service Hub

SLA Policy

lossy
Fully supported

If Helpy tickets carry SLA metadata (first response time, resolution time targets by priority), we map these to HubSpot Service Hub SLA Policies (available from Professional tier). SLA targets migrate as custom properties on the Ticket object for reporting, while formal SLA enforcement requires configuration in HubSpot's Service Hub SLA Policy settings post-migration.

Helpy

Ticket Priority

maps to

HubSpot Service Hub

hs_ticket_priority

lossy
Fully supported

Helpy priority values (low, medium, high, urgent) map to HubSpot's hs_ticket_priority picklist. We audit the Helpy priority distribution during discovery and configure HubSpot's priority options to match. If the customer uses a non-standard priority scale, we create a custom picklist in HubSpot that mirrors the source values exactly.

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.

Helpy logo

Helpy gotchas

High

No REST API for bulk record creation

Medium

CSV import is admin-only and schema-sensitive

Medium

Knowledge Base Docs and Categories must be sequenced correctly

Medium

Ticket Replies imported as a separate type require chronological sequencing

HubSpot Service Hub logo

HubSpot Service Hub gotchas

High

Rate limits throttle large migration API calls

High

Side conversations and Zendesk macros have no HubSpot equivalent

High

HubSpot stores ticket history as fragmented engagement objects

Medium

Custom Objects require Enterprise tier in HubSpot

Medium

Ticket pipeline stage probability values do not export cleanly

Pair-specific challenges

  • Helpy has no REST API; all bulk data moves through CSV

    Helpy does not expose a documented REST or GraphQL API for creating or updating tickets, customers, or KB articles programmatically. We export from Helpy's CSV templates and transform each export into HubSpot REST API calls. The dependency chain is: CSV export from Helpy (admin-only), payload transformation, HubSpot API insert. Any data that cannot be expressed in Helpy's CSV schema (e.g., attachments, multi-value custom fields) requires a separate handling path. We flag these during scoping and document the remediation steps before migration begins.

  • HubSpot KB imports exclude inline images

    HubSpot's own migration guide explicitly states that inline images cannot be migrated into Knowledge Base articles. If Helpy KB articles contain inline images hosted on Helpy's file server, those images will not transfer through HubSpot's bulk importer or their standard API workflow. We extract inline images to a managed CDN bucket, update image URLs in article HTML before import, and provide a post-migration reference table. Alternatively, we recommend using HubSpot's pre-built Knowledge Base importer for the article body and handling image re-hosting as a post-migration content audit.

  • Groups, CC in tickets, and user conversations are excluded

    HubSpot's Help Desk Migration documentation lists three record types that do not migrate via their standard tools: groups, CC addresses on tickets, and user-to-user conversations. We confirm during scoping whether Helpy uses group-based routing, ticket CC fields, or direct user-to-user message threads. If any of these are in active use, we document the affected records and provide a manual remediation guide for the customer's admin to handle as a post-migration task.

  • KB category sequencing is a two-pass requirement

    Helpy requires Categories to exist before Docs can be assigned to them via CSV, and the category ID reference in the Docs CSV must match a valid Helpy category ID or the doc lands unorganized. We apply the same constraint in HubSpot: we import Knowledge Base Sections first, capture the HubSpot Section IDs, then map articles to their sections in a second pass. If the category hierarchy is deep (more than two levels), we flatten it to HubSpot's Section-subcategory model or document the hierarchy as a post-migration navigation restructure.

  • Reply thread integrity depends on parent-ticket resolution

    Helpy Ticket Replies are a standalone import type referenced by parent ticket number. If a reply references a parent ticket that does not exist in HubSpot (e.g., a ticket that failed to import or was filtered out), HubSpot silently drops the reply. We verify parent-ticket existence in HubSpot before the reply pass begins, hold orphaned replies in a named reconciliation queue, and surface the queue to the customer post-migration so they can manually attach or discard the unreferenced replies.

Migration approach

Six steps for a successful Helpy to HubSpot Service Hub data migration

  1. Discovery and CSV schema audit

    We audit the source Helpy instance across all import templates (Customers, Tickets, Ticket Replies, Docs, Categories) to confirm which template versions are in use and which optional columns are populated. We check for custom ticket fields, tag usage, and attachment frequency. We also audit Helpy's automation rules to produce the written inventory required for post-migration rebuild. On the HubSpot side, we confirm the destination Service Hub tier, review existing Ticket pipelines and Knowledge Base section structure, and verify which optional features (SLA Policies, Multiple Knowledge Bases, Skills-based Routing) are available in the customer's plan.

  2. Data export from Helpy

    We export all Helpy data via the CSV templates available in Settings. Helpy requires admin-level access for CSV exports. We download each template type separately, validate row counts and column headers against the expected template schema, and flag any template that deviates from the standard Helpy format (e.g., custom columns that were added by a previous data import). We produce a checksummed backup of each export file for reconciliation after the HubSpot import completes.

  3. HubSpot schema preparation

    We pre-create the HubSpot custom properties, Knowledge Base Sections, Ticket pipelines, and SLA Policies before any data is inserted. Custom properties are deployed via the HubSpot Properties API. Knowledge Base Sections are created first and their IDs are captured before the Articles pass. Ticket pipelines are configured with stage names matching the Helpy ticket statuses. User accounts are provisioned by email for every distinct agent email found in the Helpy tickets before ticket assignee mapping begins.

  4. Sandbox migration and reconciliation

    We run a full migration into a HubSpot Sandbox or a shadow workspace to validate the data model, thread integrity, and KB article structure before production cutover. The customer's admin reviews 25-50 randomly sampled tickets, confirms that reply threads read in the correct chronological order, and verifies that KB articles land under the correct sections. Mapping corrections and schema adjustments happen in this phase, not in production.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (provisioned and verified), Knowledge Base Sections, Knowledge Base Articles, Contacts, Tickets, Ticket Replies (sorted by timestamp, parent-ticket verified), Tags (assigned as a batch after tickets). Each phase emits a row-count reconciliation report showing records inserted, records skipped, and records held in the orphaned queue before the next phase begins. Inline images and attachments are handled via CDN reference table.

  6. Cutover, delta migration, and automation handoff

    We freeze Helpy writes during cutover, run a final delta migration of any tickets or replies modified during the migration window, then hand off HubSpot as the system of record. We deliver the Helpy automation inventory document with HubSpot Workflow equivalents. We support a one-week hypercare window for reconciliation issues raised by the support team. We do not rebuild Helpy automations, SLAs, or routing rules as HubSpot Workflows or SLA Policies inside the migration scope; those are a separate configuration engagement.

Platform deep dives

Context on both ends of the pair

Helpy logo

Helpy

Source

Strengths

  • Open-source license with self-hosting option gives full data ownership and control.
  • Integrated Knowledge Base with category structure ships in the same product as ticketing.
  • CSV import templates are publicly available and admin-accessible without a developer.
  • Lightweight UI reduces onboarding friction for small support teams.
  • Active open-source community contributes patches and third-party themes.

Weaknesses

  • No public REST API means third-party integrations require custom development or workarounds.
  • No native bulk-export tool beyond CSV, so large-scale data extraction requires scripting.
  • Limited advanced reporting and analytics compared to enterprise helpdesk platforms.
  • Self-hosting model shifts server maintenance burden onto the customer's team.
  • Feature roadmap is community-driven, which can be slower than commercial competitors for enterprise features.
HubSpot Service Hub logo

HubSpot Service Hub

Destination

Strengths

  • Unified CRM object model means support context is always linked to sales and marketing data
  • Generous free tier with unlimited tickets and a shared inbox for small teams
  • Omnichannel inbox consolidates email, live chat, and major messaging platforms natively
  • Customer Success Workspace provides portfolio-level health scores without a separate tool
  • AI agent (Breeze) handles Tier-1 resolutions and knowledge base deflection automatically

Weaknesses

  • Per-seat pricing with mandatory onboarding fees inflates year-one cost significantly
  • Ticket history stored as fragmented engagement objects across APIs complicates export and migration
  • Custom Objects locked behind Enterprise tier limits portability for mid-market teams
  • Help desk depth—routing rules, SLA management, advanced reporting—trails dedicated tools like Zendesk
  • Setup and configuration requires real time investment; out-of-box defaults rarely fit existing workflows

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Helpy and HubSpot Service Hub.

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • 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

    Helpy: Not publicly documented as numeric quotas.

  • Data volume sensitivity

    A

    Helpy exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Helpy to HubSpot Service Hub 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 Helpy to HubSpot Service Hub data migrations

Answers to the questions buyers ask most during Helpy to HubSpot Service Hub migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Helpy to HubSpot Service Hub migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts under 10,000 tickets, 5,000 contacts, and 500 KB articles with no complex multi-level category hierarchy. Migrations with large reply thread histories (over 100,000 conversation entries), deeply nested KB category trees, or destination orgs requiring Sandbox validation before production cutover move to eight to twelve weeks. The Helpy CSV export and HubSpot Sandbox phases add one to two weeks of front-end work that would not apply in an API-to-API migration.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Helpy.
Land in HubSpot Service Hub, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day