Helpdesk migration

Migrate from Octadesk to Zendesk

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

Octadesk logo

Octadesk

Source

Zendesk

Destination

Zendesk logo

Compatibility

75%

9 of 12

objects map 1:1 between Octadesk and Zendesk.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Octadesk to Zendesk is a migration from a Brazilian-market helpdesk built for LATAM omnichannel support to the global enterprise helpdesk standard. Octadesk stores custom fields as an array of customField objects on each Ticket, while Zendesk expects a custom_fields array keyed by field ID. We parse the Octadesk array, resolve field IDs against the destination schema, and restructure the data before import. Octadesk's GET /chat endpoint caps at 100 items per page, so conversation histories require sequential pagination across all pages before upload. Automations, AI agents, and chatbot flows have no export API in Octadesk and must be rebuilt manually in Zendesk; we deliver a written automation audit inventory during scoping. Zendesk's Suite model bundles Support, Guide, and messaging on a per-agent-per-month basis, which requires comparing the customer's current Octadesk seat and channel count against Zendesk tier capabilities before cutover.

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

Octadesk logo

Octadesk

What's pushing teams away

  • Switching to global platforms like Zendesk or Freshdesk for multinational teams needing multi-language support and enterprise-grade SLA guarantees
  • Customisation ceiling — teams with complex workflow requirements find Octadesk's no-code automation builder insufficient for advanced routing and conditional logic
  • Pricing at scale — per-user and per-channel costs increase significantly as teams grow, pushing cost-conscious organisations toward alternatives with flat-rate pricing
  • API limitations — restricted rate limits and pagination caps on endpoints like /chat (100 items max) frustrate teams with large conversation histories that need programmatic access
  • Latin American data residency concerns — some enterprise teams require explicit data residency guarantees that Octadesk's infrastructure does not prominently document

Choosing

Zendesk logo

Zendesk

What's pulling them in

  • Mature omnichannel routing across email, chat, phone, messaging, and social — one unified inbox for support teams regardless of size or complexity.
  • Deep automation with Triggers, Automations, and SLA Policies lets high-volume teams enforce consistent workflows without manual ticket handling.
  • Large ecosystem of third-party integrations and a public app marketplace reduce friction for teams already using Salesforce, Jira, or Slack.
  • Industry-leading brand recognition and trust signal — many enterprise buyers default to Zendesk as a known quantity in vendor procurement cycles.
  • Generous documentation library and community mean onboarding teams can self-configure without needing a services engagement to get started.

Object mapping

How Octadesk objects map to Zendesk

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

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

Octadesk

Ticket

maps to

Zendesk

Ticket

1:1
Fully supported

Octadesk Tickets map directly to Zendesk Tickets. The primary challenge is Octadesk's customField array (each entry containing field type, label, and value) versus Zendesk's custom_fields keyed by field ID. We export the full field definition from Octadesk during discovery, map each customField entry to its Zendesk equivalent by field name or label match, and restructure the data as a {id: value} dictionary on import. Ticket status, priority, channel metadata, and owner assignment migrate 1:1. Historical timestamps (created_at, updated_at) preserve to maintain SLA audit trails.

Octadesk

Chat

maps to

Zendesk

Ticket Comment (from Chat)

1:many
Fully supported

Octadesk Chats represent real-time conversation sessions and are paginated at 100 items per GET /chat request. Each Chat has nested conversation events (messages, agent responses, customer replies) that we extract and flatten into Zendesk Ticket comments attached to a parent Ticket record. If the Chat is not linked to a Ticket, we create a standalone Zendesk Ticket and populate it with the conversation history as comments. Conversation author attribution maps to the Zendesk comment author (agent or end-user) by email lookup.

Octadesk

Contact

maps to

Zendesk

User (end-user)

1:1
Fully supported

Octadesk Contacts migrate to Zendesk Users with role=end-user. The Contact email becomes the User email, and name, phone, custom properties, and tags transfer to corresponding Zendesk fields. Custom Contact properties follow the same array-to-flat-field transformation as Ticket custom fields. We deduplicate by email and flag any Contacts that share an email address with an existing Zendesk Agent (a separate User with role=agent) for manual resolution.

Octadesk

Company

maps to

Zendesk

Organization

1:1
Fully supported

Octadesk Companies map to Zendesk Organizations. Company domain, name, and custom properties transfer. The Organization is created before any related Contact import so that the organization_id lookup is satisfied at Contact insert time. If Zendesk does not have a separate Organization object in the customer's tier, we map Companies to a custom field on the User record or skip the object with customer approval.

Octadesk

Agent

maps to

Zendesk

User (agent)

1:1
Fully supported

Octadesk Agents (users with agent role) map to Zendesk Users with role=agent. We resolve by email match. Any Octadesk Agent without a matching Zendesk User is held in a reconciliation queue for the customer's admin to provision before migration resumes. Agent group memberships map to Zendesk Groups; team routing maps to Zendesk Views and SLA Policies if configured.

Octadesk

Team

maps to

Zendesk

Group

1:1
Fully supported

Octadesk Teams group Agents for routing and SLA purposes. We preserve team membership by mapping each Team to a Zendesk Group. Agent-to-team assignments are resolved at migration time by looking up each Agent's team_id and creating the corresponding GroupMembership record in Zendesk.

Octadesk

Custom Fields (Ticket)

maps to

Zendesk

Custom Fields (Ticket)

lossy
Fully supported

Octadesk Ticket custom fields use a customField array with type metadata. We parse each customField entry, identify the field type (text, numeric, dropdown, date, checkbox), and map to the equivalent Zendesk field type. Dropdown and multi-select fields require value enumeration mapping between Octadesk option labels and Zendesk option IDs. Date fields stored as strings in Octadesk are normalized to ISO 8601 before import.

Octadesk

Attachment

maps to

Zendesk

Attachment

1:1
Fully supported

Attachments on Tickets and Chats are referenced by URL in Octadesk. We download each file during migration, validate file size (Zendesk caps at 1MB per attachment), and upload to the corresponding Zendesk Ticket comment. Files exceeding 1MB are flagged for the customer's admin to upload manually to the Zendesk interface or as a Zendesk Dropbox reference. Inline images embedded in conversation history migrate as separate ContentDocument records linked to the Ticket.

Octadesk

Tag

maps to

Zendesk

Tag

1:1
Fully supported

Tags applied across Tickets and Contacts export with the full tag assignment per record. We recreate tags on Zendesk, applying the same tag to each migrated record. Zendesk restricts tag characters and enforces a 30-character maximum; we normalize tags that exceed this limit by truncation with a suffix and flag the change in the reconciliation report.

Octadesk

Automations/Rules

maps to

Zendesk

Trigger / Macro (documentation only)

1:1
Not supported

Octadesk automation rules (triggers, routing logic, macros) reference internal identifiers that have no export API. We do not migrate automations programmatically. During discovery, we document every Octadesk automation rule, trigger condition, and action in a written automation audit inventory with field names, condition logic, and recommended Zendesk Trigger or Macro equivalent. The customer's admin rebuilds these in Zendesk Admin.

Octadesk

AI Agents

maps to

Zendesk

Zendesk AI (configuration documentation only)

1:1
Not supported

Octadesk's proprietary AI agents and chatbot flow configurations use internal schemas not exposed via public API. These cannot be migrated. We deliver a structured export of the chatbot flow logic as described by the customer during discovery, with recommended equivalents in Zendesk's native AI features (Intelligent Triage, Macros, and Bot Builder) for the customer's admin to evaluate.

Octadesk

Reports/Dashboards

maps to

Zendesk

Report (metadata export)

lossy
Mapping required

Octadesk dashboards and performance reports reference internal metric definitions and aggregation logic. We export report configurations as structured metadata but cannot replay them on Zendesk because metric definitions differ between platforms. We deliver a report audit listing every Octadesk dashboard, its component metrics, and the equivalent Zendesk Explore report or built-in report to recreate. Zendesk Guide and reporting require activation before migration if the customer does not already hold those tiers.

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.

Octadesk logo

Octadesk gotchas

High

/chat endpoint pagination capped at 100 items

High

Automations and AI agents have no export API

Medium

Per-seat and per-channel pricing complicates migration sizing

Medium

Custom fields on Tickets use an array-based schema

Low

API authentication uses non-standard header

Zendesk logo

Zendesk gotchas

High

Data export requires API scripting on non-Enterprise plans

Medium

Automations cap at 500 active rules and 1,000 tickets per hour

Medium

Help Center has no native export feature

High

Custom Objects and full data export are Enterprise-only

Pair-specific challenges

  • Octadesk /chat pagination caps at 100 items per page

    The GET /chat endpoint enforces a hard MAX=100 items per page with no cursor-based or date-based workaround for larger result sets. When exporting conversation history from accounts with thousands of Chats, we must paginate through all pages sequentially, which is slow and rate-limit-sensitive on the Octadesk side. Accounts with very high chat volumes experience extended export windows, sometimes spanning days for accounts with 50,000+ Chats. We chunk exports into manageable batches, resume from the last seen cursor on transient failures, and advise customers to scope conversation history retention before export begins.

  • Automations and AI agents have no export API

    Octadesk does not expose a public API for retrieving chatbot flow configurations, automation rules, or AI agent setups. Any migration from Octadesk requires manually documenting and rebuilding these configurations on Zendesk. We produce a detailed automation audit report during scoping listing every rule, trigger, and flow so the customer can reproduce them, but the migration itself cannot carry these over programmatically. This is a pair-specific gotcha: the same limitation exists when migrating to any platform, but the absence of a documented API makes it a particularly acute constraint for Octadesk.

  • Ticket custom fields use an array schema requiring type mapping

    Octadesk Tickets store custom fields as an array of customField objects (each containing type, label, and value) rather than as flat key-value properties. Zendesk Tickets expect a custom_fields array keyed by field ID with the value only. We parse the Octadesk array structure, match each customField entry to its corresponding Zendesk field by label, and restructure the data. Field data type mismatches (e.g., a date stored as a string) are flagged for manual review before import. If Zendesk does not have a matching field for a customField, we either create a new Zendesk field or skip the field with customer approval.

  • Per-seat and per-channel pricing causes migration sizing surprises

    Octadesk prices by user count and by connected channel type. When migrating away, customers often discover they underestimated how many active seats and channels were in use, leading to billing disputes with Octadesk or surprise costs on the incoming Zendesk tier. We enumerate active seats and connected channels during discovery and flag any mismatch between what the customer believes is in use and what the API reports. Zendesk's Suite tiers bundle messaging channels within the per-agent price, which may reduce total channel cost post-migration.

  • Zendesk Guide (Knowledge Base) must be activated before article migration

    If the customer uses an Octadesk knowledge base or FAQ module and wants to migrate articles to Zendesk Guide, the Guide product must be activated and configured in Zendesk before the migration begins. Guide is a separate Zendesk product available on Suite tiers; Support Team plans do not include Guide. We confirm Guide availability during scoping and advise the customer to activate it early so that article sections, categories, and article templates are in place before we import content.

Migration approach

Six steps for a successful Octadesk to Zendesk data migration

  1. Discovery and API audit

    We audit the Octadesk account via REST API across all supported objects: Tickets (with customField arrays), Chats (paginated at 100-item pages), Contacts, Companies, Agents, Teams, Tags, and Attachments. We confirm the number of active seats, connected channels, and total record counts for each object. We also document any Octadesk automation rules, chatbot flows, and AI agent configurations described by the customer. The output is a written migration scope with record counts, field inventory, and a decision point on how much historical chat and ticket history to include in the migration.

  2. Zendesk environment preparation

    We confirm the customer's Zendesk tier and available products (Support, Suite, Guide). We create the destination schema: Groups matching Octadesk Teams, custom fields matching Octadesk customField arrays (with type mapping from Octadesk field types to Zendesk field types), and User records for Agents matched by email. If the customer holds Zendesk Guide, we confirm article sections and categories are pre-created. We temporarily disable Zendesk triggers and automations during migration to prevent unwanted notifications or workflow triggers from firing on imported records.

  3. Sandbox migration and field mapping validation

    We run a full migration into a Zendesk Sandbox or demo environment using production-like data volume. The customer's support operations lead reconciles record counts (Tickets in, Chats converted, Contacts in, Organizations in, Agents mapped), spot-checks 25-50 random Tickets against the Octadesk source (custom field values, conversation history, attachment presence), and validates that Zendesk field types correctly display the imported data. Field mapping corrections are made here before any production migration begins.

  4. Sequential chat history export and chunking

    We export Octadesk Chat records in sequential 100-item pages using the GET /chat endpoint. Each Chat's nested conversation events are extracted and flattened into Zendesk Ticket comments. We download and validate attachments per-Ticket. Large chat histories (5,000+ Chats) are chunked into export batches with cursor-based resume, and the Octadesk API rate limit is respected with backoff between requests. The customer approves the historical depth (e.g., last 12 months, last 24 months, or full history) before export begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Zendesk Users and Groups (manual provisioning validated), Organizations (from Octadesk Companies), Users (Contacts as end-users), Tickets (with resolved requester_id, assignee_id, group_id, and custom_fields), then Chat conversation comments appended to the correct Tickets. Attachments upload via Zendesk API with 1MB file validation. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, delta sync, and automation rebuild handoff

    We freeze Octadesk writes during cutover, run a final delta migration of any records modified during the migration window, then enable Zendesk as the system of record. We deliver the automation audit inventory document listing every Octadesk automation rule, chatbot flow, and AI agent configuration with recommended Zendesk equivalents. We support a one-week hypercare window for reconciliation issues. We do not rebuild Octadesk automations as Zendesk Triggers inside the migration scope; that is a separate engagement for the customer's Zendesk admin or an implementation partner.

Platform deep dives

Context on both ends of the pair

Octadesk logo

Octadesk

Source

Strengths

  • Unified omnichannel inbox combining WhatsApp, Instagram, Facebook, email, and live chat in a single agent interface
  • Built-in chatbot builder with no-code flow designer for both sales and post-sales automation scenarios
  • AI agent features for automated ticket classification, response suggestions, and routing without third-party AI integrations
  • Part of the Locaweb ecosystem — native integrations with Brazilian marketing and hosting tools reduce toolchain complexity
  • Dashboard and performance reporting built in for team-level SLA tracking and agent productivity metrics

Weaknesses

  • API is poorly documented externally and lacks a public developer portal with comprehensive endpoint coverage and versioning
  • No public bulk export or bulk import API — migration tooling must work around pagination limits and per-request caps
  • Automation and AI agent configurations are not exportable, meaning custom flows must be rebuilt manually on any new platform
  • Platform is primarily designed for Brazilian market — English documentation and multi-language support lag behind global competitors
  • Limited marketplace of third-party integrations compared to Zendesk or Freshdesk, requiring custom development for non-native connections
Zendesk logo

Zendesk

Destination

Strengths

  • Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center.
  • Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution.
  • Multi-brand support enables large organizations to route and isolate support by product line or subsidiary.
  • Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options.
  • Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.

Weaknesses

  • Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited.
  • No native full-KB export — Help Center content requires API scripting to extract.
  • AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows.
  • Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months.
  • Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Octadesk and Zendesk.

  • Object compatibility

    B

    1 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

    Octadesk: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Octadesk to Zendesk 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 Octadesk to Zendesk data migrations

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

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Migrations land between two and four weeks for accounts under 5,000 Tickets with moderate conversation histories and no complex custom field structures. Migrations with high chat volumes (5,000+ Chats requiring sequential 100-item page exports), multiple connected channels, complex Ticket and Contact custom field arrays, or large agent rosters move to six to ten weeks because of export pacing, field-level type mapping, and cross-object reconciliation. The discovery and scoping phase adds one to two weeks regardless of data volume.

Adjacent paths

Related migrations to explore

Ready when you are

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