Helpdesk migration
Field-level mapping, validation, and rollback between Re:amaze and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Re:amaze
Source
Zendesk
Destination
Compatibility
9 of 10
objects map 1:1 between Re:amaze and Zendesk.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Re:amaze to Zendesk is a step up in platform maturity for teams that have outgrown SMB-tier helpdesk capabilities. Re:amaze concentrates multichannel conversations into a shared inbox with strong e-commerce context; Zendesk adds AI-powered autonomous agents, workforce management, granular SLA tracking, and a reporting engine built for multi-department operations. We sequence the migration by extracting Re:amaze contacts first (including custom fields discovered via statistical sampling), then conversations by contact ID, then Quick Answers as Zendesk macros, and finally Knowledge Base articles into an activated Zendesk Guide instance. Re:amaze's brand-scoped API requires correct subdomain configuration before any extraction begins, and Zendesk Guide must be manually activated before article import because it is a separate licensed product. Workflows, automation rules, and saved filters do not migrate as code; we deliver a written inventory of every active Re:amaze rule requiring a Zendesk trigger or automation rebuild.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Re:amaze 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.
Re:amaze
Conversation
Zendesk
Ticket
1:1Re:amaze Conversations map to Zendesk Tickets. The conversation subject maps to Ticket Subject, the primary message thread becomes the initial ticket comments, assignee maps to Zendesk Agent, status (open/resolved/archived) maps to Ticket Status, and category maps to Ticket Type or a custom field. We preserve the original Re:amaze conversation ID as a custom field reamaze_conversation_id__c on the Zendesk ticket for cross-reference during the reconciliation window.
Re:amaze
Contact
Zendesk
User
1:1Re:amaze Contacts map to Zendesk End Users. Name and email transfer directly; computed attributes (browser, location, last seen) transfer as custom user fields. Re:amaze contacts are the parent of conversations, so Contact records migrate first so that the Zendesk requester_id reference is satisfied at ticket creation time. Any Re:amaze contact without an email address is flagged as a partial record and migrated as an end user with a generated placeholder email for admin resolution.
Re:amaze
Custom Fields
Zendesk
User Fields
1:1Re:amaze custom fields have no dedicated definition endpoint; values are stored as attributes on contact records. We discover the field map by sampling 50-100 contact records, extracting all non-standard keys, and typing them (text, number, checkbox, date, dropdown). The resulting field map is validated against the full contact set before import. Each discovered custom field is pre-created as a Zendesk User Field before contact migration begins.
Re:amaze
Tag
Zendesk
Tag
1:1Re:amaze conversation tags (flat string list per conversation, admin-created and agent-applied) map to Zendesk Ticket Tags. Tag names transfer as-is with no transformation. We export all tags in a single pass before conversation migration so that the tag inventory is available for Zendesk tag creation during ticket import.
Re:amaze
Quick Answers
Zendesk
Macros
1:1Re:amaze Quick Answers (canned response templates with title, body content, optional shortcode, and category grouping) map to Zendesk Macros. We preserve the HTML formatting in the macro body, the category becomes the macro folder, and the shortcode is stored as a custom macro field. Macros are created before ticket migration so that agents can apply them immediately at cutover.
Re:amaze
Knowledge Base Articles
Zendesk
Zendesk Guide Articles
1:1Re:amaze FAQ articles (searchable, category-grouped, embeddable) map to Zendesk Guide articles. The category hierarchy migrates as Zendesk Guide Sections and Categories. Article content transfers with HTML preserved. Publish status migrates (published articles become live, draft articles remain draft). Zendesk Guide must be activated in the destination Zendesk instance before article import because it is a separate product requiring manual setup.
Re:amaze
Agent / Staff Member
Zendesk
Agent
1:1Re:amaze agent profiles (name, email, role: admin/agent, avatar, availability status) map to Zendesk Agents. We map agent emails to Zendesk User accounts by email match. Role mapping: Re:amaze admin becomes Zendesk Agent with admin rights; agent becomes Zendesk Agent. The customer provisions the Zendesk agents before migration so that the assignee_id reference on imported tickets is satisfied.
Re:amaze
Brand (multibrand accounts)
Zendesk
Separate Zendesk instances
lossyRe:amaze multibrand accounts (separate inboxes, contacts, and reporting per brand via subdomain) require a separate Zendesk instance migration pass per brand. Each brand's data is extracted using the correct brand-specific subdomain in the Re:amaze API request, and loaded into a separate Zendesk instance or organizational structure. We scope and quote each brand pass independently. Zendesk's own Multibrand organizational structure is documented as a separate configuration for the customer admin.
Re:amaze
Attachment
Zendesk
Ticket Attachment
1:1Re:amaze message attachments and contact profile attachments export as file metadata (URL, filename, MIME type, size). Where Re:amaze stores attachments behind signed URLs or on their CDN, we download and re-upload to Zendesk's attachment endpoint. Attachments migrate after tickets so that the ticket_id reference is known at attachment creation time.
Re:amaze
Department
Zendesk
Groups
1:1Re:amaze Departments map to Zendesk Groups. Group membership on conversations migrates as ticket assignment to the corresponding Zendesk Group. If a Re:amaze department has no Zendesk equivalent, it is stored as a custom ticket field for admin reorganization post-migration.
| Re:amaze | Zendesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| Contact | User1:1 | Fully supported | |
| Custom Fields | User Fields1:1 | Mapping required | |
| Tag | Tag1:1 | Fully supported | |
| Quick Answers | Macros1:1 | Mapping required | |
| Knowledge Base Articles | Zendesk Guide Articles1:1 | Fully supported | |
| Agent / Staff Member | Agent1:1 | Fully supported | |
| Brand (multibrand accounts) | Separate Zendesk instanceslossy | Fully supported | |
| Attachment | Ticket Attachment1:1 | Fully supported | |
| Department | Groups1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Re:amaze gotchas
API rate limits are not publicly documented
SMS and voice channels are not included in base pricing
Brand-scoped API requires correct subdomain configuration
Custom field discovery requires sampling contact records
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and brand inventory
We audit the Re:amaze account across brand count (each brand is a separate migration pass), conversation volume, contact count, Quick Answer count, Knowledge Base article count and category depth, agent roster, and any active automation rules. We identify the correct brand subdomain for each brand and run a probe request to verify API connectivity. We document the custom field inventory from contact record sampling and present the full scope, pricing, and timeline to the customer before beginning extraction.
Zendesk destination preparation
We activate Zendesk Guide (a prerequisite before any Knowledge Base import), configure the Help Center structure (categories, sections matching the Re:amaze category hierarchy), pre-create all Zendesk User Fields corresponding to the discovered Re:amaze custom fields, set up Groups matching Re:amaze Departments, and provision all Agent accounts in Zendesk so that assignee_id references are satisfied at ticket creation time. This step runs in parallel with source extraction.
Source extraction in dependency order
We extract Re:amaze data in a strict dependency order: Contacts first (with all custom field values), then Agents (for role mapping), then Departments (for Group mapping), then Tags (flat inventory), then Quick Answers, then Knowledge Base articles, and finally Conversations by contact_id lookup. For multibrand accounts, each brand's extraction uses the correct brand-specific subdomain. We implement checkpoint-based resume with a manifest of extracted record IDs so that any API rate-limit interruption resumes from the last confirmed checkpoint rather than restarting.
Sandbox migration and reconciliation
We run a full migration into the customer's Zendesk Sandbox (or a trial instance) using production data volume. The customer reconciles record counts (contacts in, tickets in, macros in, articles in), spot-checks 25-50 randomly sampled records against the Re:amaze source, and validates that assignee assignments, tag presence, and custom field values transferred correctly. Mapping corrections are made in this phase. The customer signs off the sandbox migration before production migration begins.
Production migration with delta sync
We run production migration in dependency order: Contacts (with custom fields), Agents, Groups, Tags, Macros from Quick Answers, Knowledge Base articles into the activated Help Center, and Tickets last (with requester_id resolved to the migrated Contact, assignee_id resolved to the migrated Agent, and tags applied). A delta sync at cutover captures any records modified during the migration window. Each phase emits a row-count reconciliation report.
Cutover and automation rebuild handoff
We freeze Re:amaze writes during cutover, run the final delta migration, enable Zendesk as the system of record, and deliver the automation inventory document listing every active Re:amaze trigger, filter, and saved view with a recommended Zendesk trigger or macro equivalent. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Re:amaze automation rules as Zendesk triggers within the migration scope; that is a separate engagement for the customer's Zendesk admin or a Zendesk partner.
Platform deep dives
Re:amaze
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 2 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Re:amaze and Zendesk.
Object compatibility
2 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Re:amaze: Not publicly documented.
Data volume sensitivity
Re:amaze doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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