Helpdesk migration

Migrate from Mojo Helpdesk to Intercom

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

Mojo Helpdesk logo

Mojo Helpdesk

Source

Intercom

Destination

Intercom logo

Compatibility

71%

10 of 14

objects map 1:1 between Mojo Helpdesk and Intercom.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Mojo Helpdesk to Intercom is a paradigm shift, not a record copy. Mojo is a queue-based ticketing system where tickets land in agent pools, agents pick assignments, and SLA timers run per queue; Intercom is a conversation-first platform where messages flow into a shared inbox, agents claim conversations, and SLA policies are applied to individual conversations or Inbox teams. We bridge that structural difference by mapping Mojo Queues to Intercom Teams or Inbox assignments, converting Mojo agent roles to Intercom admins and operators, preserving the full comment thread including internal staff notes, and flagging SLA configurations for Intercom SLA policy recreation. We do not migrate Mojo bots, automations, or reports as code — we deliver a written inventory of every automation trigger and report definition for the customer's admin to rebuild in Intercom's workflow builder. Asset management records have no Intercom equivalent and are flagged for manual migration or a separate asset-tracking tool.

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

Mojo Helpdesk logo

Mojo Helpdesk

What's pushing teams away

  • The Team plan caps at 25 agents and limits storage, queues, and automation — teams that grow past that threshold must upgrade or leave.
  • Dashboard reporting is constrained to 30-day windows, requiring manual aggregation for quarterly or multi-month trend analysis.
  • Google Apps integration has been deprecated, forcing organizations on Google Workspace to use alternative authentication and routing methods.
  • Custom field mapping during bulk imports requires pre-creation of fields in Mojo before the CSV import runs — undocumented order-of-operations that causes silent field drops.
  • Agent and admin roles are limited, and queue-level access control for restricted agents is only available on higher tiers, limiting segregation options for large support teams.

Choosing

Intercom logo

Intercom

What's pulling them in

  • Instant chat and message threading on websites and apps gives support teams a single inbox without context-switching, according to reviewers on Capterra and G2 who highlight fast response times as a primary benefit.
  • Fin AI handles repetitive inbound queries automatically, reducing agent workload measurably — G2 reviewers report fewer escalations and faster first-response times once Fin is configured.
  • Automation workflows (Outbound, Operator, and custom bots) allow teams to qualify leads and route tickets without manual intervention, appealing to growth-stage SaaS companies managing high ticket volumes.
  • Help center articles and self-service deflection are natively integrated, so knowledge base content and chat conversations live in the same workspace, simplifying reporting.
  • Multi-channel support (live chat, email, SMS, WhatsApp, Phone) consolidates customer touchpoints into one inbox, reducing the operational overhead of managing separate tools.

Object mapping

How Mojo Helpdesk objects map to Intercom

Each row shows how a Mojo Helpdesk object lands in Intercom, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Mojo Helpdesk

Ticket

maps to

Intercom

Conversation

1:1
Fully supported

Mojo Tickets map to Intercom Conversations. The Mojo ticket subject and full message history (all Comments ordered by timestamp) migrate as Conversation Parts. We preserve the original ticket status (New, Open, Pending, Resolved, Closed) by mapping to Intercom's Conversation State (open, closed). The original ticket ID is preserved in a custom conversation attribute mojo_ticket_id for audit reference. Any Mojo ticket priority (Low, Normal, High, Urgent) maps to a custom Intercom conversation attribute priority_level since Intercom's base model does not have a native priority field.

Mojo Helpdesk

Comment

maps to

Intercom

Conversation Part

1:1
Fully supported

Every Mojo Comment — agent replies, customer responses, and CC'd participants — migrates as an Intercom Conversation Part with the correct author attribution. Mojo internal staff notes (marked as private within Mojo) map to Intercom's private Conversation Parts (part_type=note) so that internal commentary is preserved separately from customer-visible messages. Comment ordering is preserved by setting the created_at timestamp to the original Mojo Comment timestamp. The parent ticket's created_at timestamp maps to the Conversation's created_at.

Mojo Helpdesk

User (Agent)

maps to

Intercom

Admin or Operator

1:1
Fully supported

Mojo agent users map to Intercom Admins (if Mojo role is Admin) or Operators (if Mojo role is Agent). We resolve agents by email match. Mojo agent permissions scoped to specific queues require mapping to Intercom's Team-based access model — agents assigned to a Mojo queue map to the corresponding Intercom Team, and Inbox assignment rules are reconstructed in Intercom using Teams. The Mojo agent's created date and last login migrate as custom attributes.

Mojo Helpdesk

Contact (Customer)

maps to

Intercom

Contact

1:1
Fully supported

Mojo Contacts migrate to Intercom Contacts. The Contact's email is the dedupe key. Company affiliation (Mojo Contacts linked to a Company) maps to an Intercom Contact attribute mojo_company_name and, if a matching Intercom Company exists, we link via the standard company association. Phone, custom attributes, and contact type migrate as Contact attributes.

Mojo Helpdesk

Company

maps to

Intercom

Company

1:1
Fully supported

Mojo Company records (available when Contacts are linked to companies) map to Intercom Companies. Company name, domain, and industry migrate directly. The Mojo Company ID is preserved in a custom Intercom Company attribute mojo_company_id for cross-reference.

Mojo Helpdesk

Queue

maps to

Intercom

Team

1:many
Fully supported

Mojo Queues are routing units that tickets land in based on email routing rules or form submissions. Intercom does not have a Queue object — routing happens via Inbox assignments and Team membership. We map each Mojo Queue to an Intercom Team, and Mojo queue-level routing rules are documented as an Intercom Workflow and routing rule configuration plan. If the customer uses queue-specific email addresses (e.g., [email protected] and [email protected] routing to different queues), we document the email forwarding setup to configure as Intercom Inbox email routes.

Mojo Helpdesk

Tag

maps to

Intercom

Inbox Tag

1:1
Fully supported

Mojo Tags applied to tickets migrate to Intercom Inbox Tags. Mojo's free-form tag text maps directly. We preserve tag application on the Conversation during migration so that tag-based reporting can be reconstructed in Intercom. Note that Mojo tags have no predefined taxonomy, which is also true of Intercom tags — both are flat string lists, so the mapping is straightforward.

Mojo Helpdesk

Custom Field (Ticket)

maps to

Intercom

Conversation Attribute

lossy
Fully supported

Mojo ticket custom fields migrate as Intercom custom conversation attributes. Before migration, we validate that each custom field in Mojo has been pre-created (the Mojo prerequisite documented in the source page) and then map the field type: Mojo text fields become Intercom string attributes; picklist fields become Intercom string or enum attributes with the same allowed values. The mapping is documented in the pre-migration schema inventory. Intercom Starter limits custom attributes per conversation; we flag attribute count against the destination plan during scoping.

Mojo Helpdesk

Custom Field (User)

maps to

Intercom

Contact Attribute

lossy
Fully supported

Mojo user custom fields migrate as Intercom Contact custom attributes. The same pre-creation validation applies. Mojo text, date, and picklist user fields map to equivalent Intercom Contact attribute types. These attributes do not count against Intercom's conversation attribute limits.

Mojo Helpdesk

Knowledge Base Article

maps to

Intercom

Help Center Article

1:1
Fully supported

Mojo Knowledge Base Articles export as content with publish status, categories, and article body (HTML). We migrate articles as Intercom Help Center articles within the appropriate collections and sections, preserving the original category hierarchy from Mojo. Publish status carries over — draft articles in Mojo become draft articles in Intercom's Help Center. Article-to-ticket recommendation links (Mojo's knowledge base suggester) are documented but do not have a migration path in Intercom since that feature is handled by Fin AI Agent's answer-base configuration, which is a separate setup step.

Mojo Helpdesk

SLA Configuration

maps to

Intercom

SLA Policy (Pro plan and above)

lossy
Fully supported

Mojo SLA definitions (timeframes per priority level, pause-on-reply logic, breach alerts) are migrated as configuration documentation. Intercom's SLA policies are a Pro plan feature and must be rebuilt manually in Intercom's SLA policy editor. We deliver a written SLA mapping document specifying each Mojo SLA rule, its priority conditions, time thresholds, and the equivalent Intercom SLA policy configuration. SLA breach historical data does not migrate — Intercom SLA policies are forward-looking.

Mojo Helpdesk

Canned Response

maps to

Intercom

Saved Reply

1:1
Fully supported

Mojo canned responses associated with queues or categories migrate as Intercom Saved Replies. Template body content and trigger conditions (Mojo's shortcut triggers) are preserved in the migration inventory. Saved Replies in Intercom are workspace-wide, not queue-scoped, so any queue-specific language or branding in canned responses should be reviewed post-migration for cross-queue applicability.

Mojo Helpdesk

Asset

maps to

Intercom

Not Migrated (flagged)

1:1
Fully supported

Mojo's optional Asset Management module tracks physical assets (laptops, software licenses, warranties, contracts) linked to ticket history. Intercom has no asset management module. Asset records are exported as a CSV inventory with ticket linkage, and the customer is notified to evaluate an asset management tool (ServiceNow Asset Management, Salesforce Field Service, or a dedicated CMDB) as a separate implementation. We preserve the asset-to-ticket linkage as a documented reference in the migration handoff.

Mojo Helpdesk

Bot (Automation)

maps to

Intercom

Workflow (manual rebuild)

1:1
Fully supported

Mojo bots trigger on ticket events (created, updated, deleted) and perform assign, escalate, or email actions. Intercom Workflows are event-triggered automation with a different action model. We document every Mojo bot trigger, conditions, and actions in a written automation inventory. The customer's Intercom admin rebuilds these as Intercom Workflows post-migration. We do not migrate bots as code because the trigger-action logic is platform-specific and requires reimplementation.

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.

Mojo Helpdesk logo

Mojo Helpdesk gotchas

High

Custom fields silently dropped without pre-creation

High

Team plan agent cap blocks large team migrations

Medium

CSV user import ceiling of 3000 records

Medium

Dashboard reports restricted to 30-day windows

Low

Google Apps integration deprecated

Intercom logo

Intercom gotchas

High

S3 JSON export omits conversation transcripts

High

Workspace isolation prevents workflow migration

Medium

Fin AI resolution fees compound with automation success

Medium

Two-year conversation history limit on historical export

Low

Private app rate limits share workspace quota

Pair-specific challenges

  • Mojo queues have no direct Intercom equivalent

    Mojo's Queue object is a routing unit that tickets land in based on email routing rules or form submissions. Intercom does not have a Queue object — routing is handled through Teams, Inbox assignments, and Workflow rules. When tickets land in Intercom, they appear in the shared Inbox and are assigned to agents or teams manually or via a Workflow. We map each Mojo Queue to an Intercom Team during migration, but the routing logic (which emails go to which queue) must be rebuilt as Intercom Inbox routing rules and Workflows. Any customer with complex queue-based routing should expect a configuration planning phase before migration begins.

  • Internal staff notes require conversion to private Conversation Parts

    Mojo Helpdesk stores internal staff notes as a separate comment type flagged as private within the ticket thread. Intercom stores internal notes as private Conversation Parts (part_type=note) on the same Conversation object. We migrate internal notes as private Conversation Parts during the Comment migration phase, preserving author attribution and timestamp. However, if Mojo's internal note visibility settings differ from the default (e.g., notes restricted to specific agent roles), that role-based visibility does not carry over since Intercom's private notes are visible to all operators with Inbox access. We flag this during scoping so the customer's admin can review the Intercom Team access model post-migration.

  • SLA configurations migrate as documentation, not code

    Mojo SLA definitions (timeframes per priority, pause-on-reply logic, before-breach alerts) are configuration data in Mojo. Intercom SLA policies are a separate feature available on the Pro plan and above ($99/seat/month minimum). We cannot migrate Mojo SLA configurations to active Intercom SLA policies automatically — the SLA rule definitions are exported as a written inventory document, and the customer's admin configures the equivalent SLA policies in Intercom's SLA editor post-migration. Teams on Intercom Starter or Essential will need to upgrade to Pro to access SLA policies, which changes the destination subscription cost.

  • Mojo asset records have no Intercom equivalent

    Mojo Helpdesk's optional Asset Management module tracks laptops, software licenses, warranties, and contracts with linkage to ticket history for audit and compliance use cases. Intercom has no asset management module. We export asset records as a CSV with all fields (asset type, status, location, department, linked ticket IDs) and flag this for manual migration to a dedicated asset or ITAM tool. The asset-to-ticket linkage history is preserved in the CSV so that the linkage can be re-established if the customer adopts ServiceNow Asset Management, Salesforce Field Service, or another ITAM platform.

  • Custom fields silently dropped without pre-creation in Mojo

    Mojo Helpdesk requires custom ticket and user fields to be created in the application before any CSV import can populate them. If we attempt to import data into a custom field that does not yet exist in the Mojo account, the import completes but the field data is silently discarded. We validate the complete Mojo field schema during scoping and prompt the customer to create any missing custom fields in Account administration before migration begins. This is a Mojo platform constraint, not an Intercom migration issue, but it is the most common cause of data loss during Mojo bulk operations.

Migration approach

Six steps for a successful Mojo Helpdesk to Intercom data migration

  1. Discovery and scoping

    We audit the source Mojo Helpdesk account across plan tier (Team/Business/Enterprise), agent count, ticket volume, queue structure, SLA configurations, custom field definitions, knowledge base article count, canned response inventory, and bot automation count. We verify agent count against the Team plan's 25-agent cap. We check whether Google Apps SSO is in use (deprecated). We extract a snapshot of any historical report data needed for trend analysis since Mojo's 30-day reporting window means data beyond 30 days will not be available post-migration. The discovery output is a written migration scope covering record counts, object dependencies, and a destination Intercom plan recommendation based on SLA policy requirements.

  2. Schema inventory and custom field pre-creation

    We create a complete field-level inventory of every Mojo ticket custom field and user custom field. Any custom field that does not yet exist in the Mojo account schema is flagged and the customer creates it in Account administration before migration begins. We inventory queue-to-team mappings, SLA configuration parameters, canned response content, knowledge base category hierarchy, and asset record structure. This inventory becomes the source of truth for every object mapping decision and the written handoff document.

  3. Test migration to Intercom sandbox

    We run a full migration into an Intercom sandbox workspace using production-like record volume. The customer reconciles a sample of Conversations (ticket threading, internal notes, attachments), Contacts (email deliverability, company linkage, custom attributes), and Knowledge Base articles (section hierarchy, article body rendering, publish status) against the Mojo source. Any mapping corrections — SLA field names, priority normalization, queue-to-team assignments — happen in the sandbox before production migration begins. This step also validates that the destination Intercom plan supports the required custom attribute count.

  4. User and contact provisioning order

    We migrate in dependency order. Agents (Intercom Admins and Operators) are provisioned first by resolving Mojo user email addresses against the Intercom workspace. Queues are mapped to Intercom Teams and documented for Workflow rebuild. Contacts are imported with company linkage resolved. Assets are exported as a CSV with full field preservation and flagged for the customer's ITAM planning. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Ticket and conversation migration with threading

    Tickets migrate as Intercom Conversations with full comment threading. Internal staff notes are converted to private Conversation Parts. Attachments are uploaded to Intercom and linked to the Conversation Part. We preserve the original ticket created_at timestamp and any SLA breach history references on the conversation attribute. Tags migrate as Inbox tags on the conversation. Custom ticket fields map to conversation attributes. The conversation is assigned to the Intercom Team that corresponds to the Mojo Queue.

  6. Knowledge base and configuration handoff

    We migrate knowledge base articles to Intercom Help Center collections and sections, preserving category hierarchy and publish status. Canned responses migrate as Intercom Saved Replies. We deliver the written automation inventory (every Mojo bot trigger and action), the SLA configuration mapping document (with recommended Intercom SLA policy parameters), and the asset CSV. We do not rebuild Mojo bots as Intercom Workflows — that is a separate configuration engagement for the customer's Intercom admin. The migration is signed off when row-count reconciliation for Conversations, Contacts, and articles matches the Mojo source.

Platform deep dives

Context on both ends of the pair

Mojo Helpdesk logo

Mojo Helpdesk

Source

Strengths

  • Per-agent pricing model with predictable billing and no hidden per-contact or per-ticket overages.
  • Built-in knowledge base with 15–20 articles shown to cut incoming ticket volume by 30–90%.
  • Felix AI is included on all plans — drafts replies, summarizes threads, and flags sentiment without an extra subscription.
  • Asset management module links physical assets to ticket history for audit and compliance use cases.
  • Simple setup with email-based routing and no mandatory onboarding complexity — teams can route tickets from day one.

Weaknesses

  • Team plan hard-capped at 25 agents with limited storage, queues, and automation — growth forces an upgrade or migration.
  • Dashboard reporting limited to 30-day windows — quarterly trend analysis requires manual monthly exports.
  • Google Apps Marketplace integration has been deprecated — no current official path for seamless Google Workspace SSO.
  • Custom fields require pre-creation in Mojo before bulk CSV import — undocumented prerequisite that causes silent field drops.
  • Knowledge base storage is tier-gated; Team plan storage limits may cap article volume before teams fully populate their deflect library.
Intercom logo

Intercom

Destination

Strengths

  • Integrated AI agent (Fin) for automated resolution with per-resolution billing that rewards high automation rates.
  • Multi-channel inbox consolidating live chat, email, SMS, WhatsApp, and Phone into a single threaded view.
  • Native help center with articles, collections, and self-service deflection capabilities.
  • Workflow automation for routing, qualification, and proactive outbound messaging across channels.
  • Strong API ecosystem with 10,000 req/min rate limits for private apps enabling high-throughput migration pipelines.

Weaknesses

  • Pricing model compounds with seat count, AI resolution fees, channel costs, and multiple add-ons, making total cost hard to predict.
  • Workspace-level isolation prevents moving workflows or content between environments, requiring manual rebuilds.
  • S3 JSON export deliberately excludes conversation transcripts, necessitating REST API calls for full message history.
  • Outages are reported as frequent enough to be a concern for always-on support operations.
  • Setup complexity means teams often require internal guidance or professional services to configure bots and automation correctly.

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 Mojo Helpdesk and Intercom.

  • 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

    Mojo Helpdesk: Not publicly documented — quotas visible in Account administration > Overview per plan tier.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Mojo Helpdesk to Intercom 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 Mojo Helpdesk to Intercom data migrations

Answers to the questions buyers ask most during Mojo Helpdesk to Intercom migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for accounts under 10,000 tickets and 3,000 contacts with a single queue and no complex SLA configurations. Migrations with 25+ agents, multi-queue structures, large comment threading histories (over 100,000 conversation parts), or knowledge base article import with a deep section hierarchy move to five to nine weeks because of queue-to-team mapping design, internal note conversion logic, and SLA policy reconstruction planning. The most common timeline driver is the automation and SLA rebuild planning that happens in parallel with data migration.

Adjacent paths

Related migrations to explore

Ready when you are

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