Migration Playbook

Deskpro Zoho Desk

Deskpro to Zoho Desk: The Complete Migration Playbook

A 38-step runbook across six phases — track your progress, and open the right tool at every step.

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TL;DR

Deskpro to Zoho Desk has no native migration path. CSV works for small flat moves; anything with threads, attachments, or relationships needs an API pipeline or managed service.

There is no native migration path from Deskpro to Zoho Desk — Zoho's built-in migration utility (Zwitch) only supports Freshdesk and Zendesk as source platforms. The two systems differ fundamentally in their data models: Deskpro uses a unified "People" record with Organizations, while Zoho Desk separates Contacts and Accounts relationally, and ticket messages in Deskpro map to distinct thread and comment endpoints in Zoho Desk's API. Any migration therefore requires either CSV export/import (which loses threads, attachments, and relationships), a custom API pipeline, a third-party tool, or a managed migration service to achieve full-fidelity data transfer.

Read this first

Pair-specific gotchas that catch teams out. Each one has cost somebody a weekend.

Zoho Desk's published standard modules do not include CRM objects like Leads or Opportunities

If Deskpro has sales-style data in custom fields, route it to Zoho CRM or, if the edition allows, a carefully designed Enterprise custom module. (help.zoho.com)

Do not start writing migration scripts until you have a finalized field mapping document

Do not start writing migration scripts until you have a finalized field mapping document and a signed-off migration scope. Scope creep mid-migration is the #1 cause of project delays.

Zoho Desk's paid plans (excluding Free and Trial) allow purchasing up to 5,000,000

Zoho Desk's paid plans (excluding Free and Trial) allow purchasing up to 5,000,000 additional credits per day. If your migration will run for several days at high volume, purchase add-on credits before you start via Setup → Developer Space → API.

Thread-level timestamp preservation

Zoho Desk's thread creation API (POST /tickets/{id}/threads) does not accept a createdTime parameter. Threads are timestamped at the moment of API call. This means while ticket-level creation dates can be preserved, individual reply timestamps will reflect the migration date. Document this limitation for stakeholders who need exact thread chronology — the content field can include a header line like "Original reply date: 2023-06-15T14:30:00Z" as a workaround.

Zoho's native CSV import uses GMT, not the importing user's timezone

If you are validating timestamps or SLA-related dates after a CSV import, compare them after timezone conversion rather than by eye in the UI. (help.zoho.com)

Store your ID cross-reference map (Deskpro ID → Zoho ID) in a persistent store like

Store your ID cross-reference map (Deskpro ID → Zoho ID) in a persistent store like Python's shelve, SQLite, or Redis — not just in memory. If the script crashes mid-run, you can resume from the last successful record without duplicating data. The map also serves as a permanent audit trail for post-migration troubleshooting.

The runbook

Work top to bottom. Tick steps as you go — your progress is saved in this browser.

01 Discovery Establish why you are moving, what "done" means, and who signs off. 0/5

Objective A written scope with agreed success criteria, a named owner per workstream, and a budget approved by finance.

  1. Pull the real numbers out of Deskpro

    Support ops 1 day

    Export counts for tickets (open and closed separately), contacts, organisations, attachments, macros, triggers, automations, views and SLA policies. Note the oldest ticket date — history depth drives the whole timeline. Estimating from memory is the single most common cause of a blown migration window.

    Data Profiler Get real record counts instead of estimating from memory
  2. Decide what history actually moves

    Support lead 2 days

    Agree a cut-off with the support lead: all history, last 24 months, or open tickets plus a read-only archive. Every extra year of closed tickets adds API time and cost without adding much agent value. Get this in writing — it is the decision people relitigate mid-cutover.

    A "move everything" default is what turns a two-week migration into a two-month one.

    COI & ROI Calculator Build the 36-month business case you will need for sign-off
  3. Confirm Zoho Desk can hold your support model

    Solution architect 2-3 days

    Walk your current workflow through Zoho Desk: multi-brand, business hours, SLA targets, CSAT, side conversations, public vs internal notes, and any channel you depend on (voice, chat, WhatsApp, social). List anything with no native equivalent — those are project risks, not configuration details.

  4. Build the business case

    Project sponsor 1-2 days

    Model licence delta, migration effort, agent retraining, and the cost of staying put (Cost of Inaction). Executives approve a number, not a plan, and you will be asked for it again at the go/no-go.

    Helpdesk Migration Planner Turn ticket volume into a dated Deskpro → Zoho Desk timeline
  5. Name owners and set the go/no-go date

    Project manager 1 day

    One named owner each for data, configuration, integrations, and agent enablement, plus a decision-maker who can call a rollback. Put the go/no-go meeting in calendars now, 48 hours before the freeze.

Deskpro → Zoho Desk specifics

Cost consolidation
Teams already on Zoho CRM, Zoho Projects, or Zoho One want a single vendor for helpdesk. Zoho Desk pricing: $7/user/month (Express), $14 (Standard), $23 (Professional), $40 (Enterprise). Deskpro's agent-based pricing starts at $29/agent/month (Team) and $59/agent/month (Professional). For a 20-agent team, that's $460–$800/month on Zoho Desk vs. $580–$1,180/month on Deskpro.
Simpler administration
Deskpro is powerful but configuration-heavy. Zoho Desk's opinionated defaults appeal to teams that don't want to maintain a custom helpdesk build.
Ecosystem fit
Zoho Desk natively connects to Zoho CRM, Zoho Analytics, and Zoho SalesIQ with pre-built bidirectional sync. If those tools are already in your stack, the integration story is stronger than Deskpro's webhook-based approach.
Multi-brand consolidation
Zoho Desk Enterprise supports multi-department and multi-brand help centers (up to 15 departments), which can replace separate Deskpro instances for agencies managing multiple clients.

Don't move on until

  • Record counts confirmed for tickets, contacts, organisations and macros
  • Success criteria signed off by the support lead
  • Freeze window provisionally booked with the business
02 Data Audit Find out what is actually in the data before you try to move it. 0/6

Objective A profiled, cleaned export with every quality defect either fixed at source or explicitly accepted.

  1. Take a full Deskpro export and profile it

    Data engineer 1-2 days

    Export to CSV or JSON and profile every file: row counts, null rates per column, distinct values, and type consistency. Compare row counts against the API totals from Discovery — a gap here means your export is silently truncated, usually by pagination.

    Data Profiler Profile the Deskpro export for nulls, outliers and type drift
  2. Validate file structure before anyone writes a transform

    Data engineer 1 day

    Check delimiters, quoting, encoding (expect UTF-8, watch for BOMs and Latin-1), duplicate headers, and embedded newlines in ticket bodies. Ticket descriptions with raw newlines and commas break naive CSV parsers and silently shift columns.

    A single unescaped quote in one ticket body can shift every subsequent column without any error.

    CSV Validator Catch broken headers and ragged rows in the raw export
  3. Inventory PII and set retention

    Compliance / DPO 2 days

    Scan for emails, phone numbers, payment card fragments, national IDs and anything else regulated in ticket bodies and custom fields — support tickets are where customers paste things they should not. Decide what gets migrated, masked, or dropped, and record the legal basis.

    Ticket bodies and attachments routinely contain card and ID data that never appears in a structured field.

    PII & Compliance Scanner Find regulated fields before they land in a new system
  4. Quantify duplicates, orphans and dead references

    Support ops 1-2 days

    Count duplicate contacts (same email, different casing), tickets whose requester no longer exists, organisations with no members, and attachments whose parent ticket is gone. Fix these in Deskpro where you can — migrating them just moves the mess.

    Data Cleaner Strip empty rows, stray whitespace and dead columns
  5. Clean and normalise the export

    Data engineer 2 days

    Trim whitespace, drop empty rows and columns, normalise casing on emails and tags, and standardise every timestamp to UTC ISO 8601. Timezone drift is invisible at load time and shows up weeks later as SLA reports nobody can reconcile.

  6. Produce a masked copy for sandbox work

    Data engineer 0.5 day

    Generate a realistic but fake version of the export for testing and for any vendor who needs sample data. Loading real customer PII into a sandbox is a breach in most jurisdictions, and sandboxes are rarely covered by your DPA.

    PII Masker Generate a safe copy for sandbox and vendor testing

Don't move on until

  • Export parses cleanly with no ragged rows or encoding errors
  • PII inventory complete and retention decisions recorded
  • Duplicate and orphan records quantified and triaged
03 Field Mapping Turn two schemas into one signed-off mapping spec. 0/6

Objective A reviewed field-level mapping covering every object, with an explicit decision for every field that has no target.

  1. Generate the first-pass Deskpro → Zoho Desk field map

    Solution architect 2 days

    Start from an automated match on both schemas, then review every row by hand. Automated matching gets the obvious 70% right and is confidently wrong on the rest — especially anything named "type", "status" or "custom_field_1".

    Schema Mapper Opens pre-loaded with the Deskpro → Zoho Desk field pair
  2. Map status, priority and channel values, not just field names

    Support lead 1-2 days

    Enumerate every value in each picklist on both sides and map them explicitly. Value-level mismatches are the defect class that survives all the way to production because the field itself mapped fine — a ticket that should be "Pending" arriving as "Open" reopens SLA clocks.

    Statuses with no target equivalent (on-hold, pending-customer) need a policy decision, not a best guess.

  3. Decide how custom fields land

    Solution architect 2 days

    Create the target custom fields first, matching type exactly (a dropdown mapped to free text can never be mapped back). Where Zoho Desk has no equivalent, decide between a new custom field, a tag, or a note appended to the ticket body — and record which.

  4. Resolve identity and threading

    Data engineer 1 day

    Decide how source IDs are preserved — most platforms will not let you set the primary key, so keep the original ID in a custom field. Without it, reconciliation becomes fuzzy matching and every future support question about an old ticket is unanswerable.

    Losing the original ticket ID makes reconciliation and rollback effectively impossible.

  5. Plan attachments, inline images and threading order

    Data engineer 1-2 days

    Confirm size limits, allowed MIME types, and whether inline images survive as attachments or need rehosting. Decide the comment ordering and author attribution rules: comments loaded out of order, or all attributed to the API user, destroy the conversation history agents rely on.

  6. Freeze and sign off the mapping spec

    Project manager 1 day

    Version the spec, walk the support lead through it row by row, and get explicit sign-off. Any change after this point goes through change control — mid-flight mapping edits are how partial loads happen.

Don't move on until

  • Every source field is mapped, deliberately dropped, or parked in a custom field
  • Status, priority and channel value maps agreed with the support lead
  • Mapping spec version-controlled and signed off
04 Test Migration Prove the pipeline on a small, representative slice. 0/6

Objective A pilot load into a Zoho Desk sandbox that reconciles cleanly and has been reviewed by real agents.

  1. Stand up a Zoho Desk sandbox that matches production config

    Solution architect 2-3 days

    Create the custom fields, groups, brands, business hours and SLA policies first. A pilot into a default sandbox tests nothing, because the failures you care about are all configuration mismatches.

  2. Pick a deliberately nasty pilot sample

    Data engineer 0.5 day

    Take 500-1000 records chosen for difficulty, not convenience: the longest ticket threads, tickets with the most attachments, non-Latin character sets, merged and split tickets, deleted requesters, and every status value. A clean random sample proves only that easy records are easy.

  3. Run the load with masked data and instrument everything

    Data engineer 1-2 days

    Log every API request and response with its source record ID. When 40 records fail out of 10,000 you need to know exactly which ones and why, without re-running the whole batch.

    PII Masker Never load real customer PII into a sandbox
  4. Measure real throughput against the rate limit

    Data engineer 1 day

    Record achieved records-per-hour under Zoho Desk's actual rate limits, including retries and backoff. Extrapolate to the full volume: if the maths says the full load exceeds your freeze window, you fix that now, not on cutover night.

    Published rate limits are ceilings, not throughput. Assume real-world rates are meaningfully lower once retries and backoff are counted.

  5. Reconcile the pilot and triage every failure

    Data engineer 1-2 days

    Diff source against target on record counts and field-level values. Every discrepancy gets a root cause and a fix — "probably fine" at pilot scale becomes thousands of broken records at full scale.

    Migration Validation Tool Diff the pilot batch against source before scaling up
  6. Put real agents in front of the pilot data

    Support lead 2 days

    Have two or three agents work sample tickets end to end in the sandbox. They find the things reconciliation cannot see: unreadable threading, missing context, macros that no longer make sense. Fix the mapping, then re-run.

Don't move on until

  • Pilot batch reconciles to 100% on record counts
  • Agents have reviewed sample tickets and confirmed they are workable
  • Measured throughput extrapolates to a viable full-load window
05 Cutover Execute the switch inside a controlled, reversible window. 0/6

Objective All in-scope data live in Zoho Desk, agents working in the new system, and a rollback path that stayed available throughout.

  1. Pre-load history before the freeze

    Data engineer 3-10 days

    Load closed tickets and contacts days or weeks ahead while Deskpro stays live. Only open tickets and the final delta need to move inside the freeze — this is the single biggest lever on window length.

    Helpdesk Migration Planner Size the freeze window from Zoho Desk's real API limits
  2. Publish the runbook with times, owners and abort criteria

    Project manager 1 day

    A timed sequence: freeze start, final export, delta load, channel switch, smoke test, go/no-go, agent switch. Name who does each step and the explicit condition that triggers a rollback. Decide the abort criteria before the night, when nobody wants to be the one to call it.

  3. Freeze Deskpro and take the final delta

    Support ops 2-4 hours

    Stop new ticket creation, let agents finish in-flight replies, then export everything changed since the pre-load. Announce the freeze to the whole business, not just support — someone always tries to raise a ticket during it.

    Tickets created during an unenforced freeze land in the old system and are the most common source of permanently lost data.

  4. Load the delta and open tickets

    Data engineer 2-6 hours

    Run the delta load, then reconcile counts before touching any channel. Do not repoint email until the delta has verified — an inbound ticket arriving mid-load is far harder to untangle than a few extra minutes of freeze.

    Migration Validation Tool Confirm the final delta landed before you reopen
  5. Repoint channels and verify with live traffic

    IT / integrations 2-4 hours

    Switch email forwarding and MX or connector settings, update chat widgets and web forms, and re-authorise integrations. Then send real test tickets through every channel and confirm each lands, routes and triggers the right automation.

    Email forwarding changes can take up to a full DNS TTL to propagate — check the TTL days in advance and lower it if needed.

    Cron Expression Builder Schedule the delta syncs that run through the freeze
  6. Run the go/no-go and switch the agents

    Project sponsor 1-2 hours

    Walk the exit criteria with the decision-maker, call it explicitly, then move agents over with a named person on hand for the first few hours. Keep Deskpro read-only rather than cancelled — cancelling the old contract on day one removes your only fallback.

Don't move on until

  • Full historical load complete and counts matched
  • Inbound channels repointed and verified with live test tickets
  • Rollback decision point passed explicitly, not by default
06 Validation Prove the migration is complete, then close it out. 0/9

Objective Documented evidence that data, workflow and reporting all survived, and a signed acceptance.

  1. Run the full reconciliation

    Data engineer 1-2 days

    Compare source and target on every object: total counts, counts by status, counts by group, attachment counts, and field-level spot checks on a random sample. Produce one report you can hand to an auditor.

    Migration Validation Tool Reconcile Deskpro and Zoho Desk record-for-record
  2. Verify field completeness, not just record counts

    Data engineer 1 day

    Re-profile the loaded data and compare null rates per field against the source profile. Matching record counts with a field that silently arrived empty is the failure mode counts alone will never catch.

    Data Profiler Prove field completeness held up through the load
  3. Rebuild reporting and compare against baselines

    Support ops 2-3 days

    Recreate your core dashboards — volume, first response time, resolution time, CSAT — and compare to pre-migration figures for the same period. Explain every variance; a changed SLA calculation is a real finding, not a rounding error.

    SLA and first-response metrics are usually recalculated from the loaded timestamps, so they will differ if any timestamp mapping was approximate.

  4. Test the workflow layer end to end

    Support ops 2 days

    Fire every trigger, automation, SLA escalation, macro and notification with a live ticket. Workflow does not migrate — it gets rebuilt — so it is untested until someone has actually watched it run.

  5. Confirm compliance and produce the audit trail

    Compliance / DPO 1 day

    Re-scan the loaded data for regulated fields, confirm retention and deletion policies are configured in Zoho Desk, and file the evidence with your PII decisions from the audit phase.

    PII & Compliance Scanner Produce the compliance evidence your auditor will ask for
  6. Sign off, then decommission on a schedule

    Project sponsor 1 day

    Get written acceptance against the Discovery success criteria. Keep Deskpro read-only for an agreed period (30-90 days is typical), take a final archive export, and only then cancel. Diarise the decommission date so it does not quietly renew.

  7. Rebuild automations

    Deskpro triggers and escalations do not migrate. Recreate them as Zoho Desk workflows (Setup → Automation → Workflows), assignment rules, SLA policies, and Blueprints. Map each Deskpro trigger to its Zoho equivalent before cutover.

  8. Set up integrations

    If Deskpro was connected to Slack, Jira, or CRM tools via API, reconfigure those integrations with Zoho Desk's connectors or Zoho Flow. Key integrations: Zoho CRM sync (bidirectional), Slack notifications (via Zoho Desk Marketplace app), Jira (via Zoho Desk's built-in Jira integration).

  9. Update email routing

    Configure Zoho Desk's email channel to receive support emails. Update your support@ MX records or forwarding rules. Set the reply-from address to match your existing support email to avoid confusing customers.

Deskpro → Zoho Desk specifics

Reconfigure SLAs
Zoho Desk's SLA engine works differently from Deskpro's. Deskpro calculates SLA based on ticket properties at creation; Zoho Desk recalculates on ticket updates. Map response and resolution targets manually and test with sample tickets.
Train agents
Zoho Desk's UI and terminology differ from Deskpro. Plan a 1–2 hour hands-on session covering ticket views, macros, the knowledge base editor, and Zoho-specific concepts like Blueprints and Happiness Ratings.

Don't move on until

  • Full reconciliation report attached to the project record
  • Reporting baselines match pre-migration figures within agreed tolerance
  • Formal acceptance signed and archive retention scheduled

Field mapping reference

The field-by-field mapping for each object. Use this as the starting point for your mapping spec.

Object Object 13 fields
Deskpro fieldZoho Desk fieldNotes
People (Users) Contacts 1:1 mapping. Email is the dedupe key in both systems.
Organizations Accounts 1:1 mapping. Name is the primary identifier.
Agents Agents Map by email. Agent must exist in Zoho Desk before ticket import.
Departments Departments Map by name. Must be pre-created in Zoho Desk.
Tickets Tickets Core object. Map status, priority, and department.
Ticket Messages Threads Each message becomes a thread entry. Distinguish public vs internal.
Ticket Notes Comments Deskpro agent notes → Zoho Desk comments (isPublic: false).
Attachments Attachments Must be downloaded from Deskpro blob storage and re-uploaded to Zoho.
KB Categories KB Categories Structural mapping.
KB Articles KB Articles HTML content transfer. Inline images need re-hosting. Article permissions/visibility must be set separately.
Labels/Tags Tags Direct mapping. Zoho Desk tags are limited to 50 characters per tag and 10 tags per ticket.
Custom Fields Custom Fields Must pre-create matching fields in Zoho Desk. Type compatibility matters.
Forum Topics No equivalent Zoho Desk's community forums have a separate data model with no import API. These cannot be migrated.
Deskpro Zoho Desk 14 fields
Deskpro fieldZoho Desk fieldNotes
id cf_deskpro_id (custom) Store as custom field for cross-reference; Zoho assigns its own ID
ref cf_deskpro_ref (custom) Deskpro ticket reference number
subject subject Truncate if exceeds 255 characters
status status Map: awaiting_agent → Open, awaiting_user → On Hold, resolved → Closed
priority priority Map: urgent → High, normal → Medium, low → Low
department_id departmentId Map Deskpro department ID → Zoho department ID
agent_id assigneeId Map Deskpro agent ID → Zoho agent ID
person_id contactId Map Deskpro person ID → Zoho contact ID
person.email email (Contact) Dedupe key. Zoho requires lastName — if Deskpro only has a full name, split it.
organization_id accountId Map via contact's primary account
date_created createdTime ISO 8601. API only — not settable via CSV.
date_resolved closedTime ISO 8601
labels tag Comma-separated in Zoho
custom_fields [n] cf_{alias} Must match field type. Picklist values must exist in Zoho.

Risk matrix

Per-object risk for this pair. Plan extra validation around anything marked high.

ObjectRiskNotes
Tickets medium Ticket records themselves can be migrated via API, but preserving original creation timestamps and ticket IDs is not possible through CSV import and requires careful API handling.
Ticket Threads (Replies) high CSV import drops all ticket threads entirely, and API migration requires mapping Deskpro messages to Zoho Desk's separate thread endpoint while preserving chronological order.
Internal Notes high Deskpro internal notes must be routed to Zoho Desk's comments API (a different endpoint from threads), and CSV imports do not support them at all.
Contacts medium Deskpro's "People" records must be split and re-linked as Zoho Desk Contacts with proper Account associations, and multi-organization memberships require special handling.
Organizations / Accounts medium Deskpro Organizations map to Zoho Desk Accounts, but the relational model differs since Zoho Desk Contacts typically have a single primary Account unless multi-account is explicitly enabled.
Attachments high Attachments are completely lost in CSV imports and require a two-step binary download/upload process via API, with inline attachments in ticket bodies being particularly fragile.
Custom Fields medium Custom fields can be mapped via API but require manual picklist value translation, and third-party tools may not support all Deskpro custom field types.
Knowledge Base Articles medium Deskpro KB categories, articles, and downloads must be restructured into Zoho Desk's category-section-article hierarchy, with downloads and news items having no direct equivalent.
Automations and SLAs high Deskpro triggers, escalations, and macros cannot be migrated programmatically and must be manually rebuilt using Zoho Desk's Workflows, Assignment Rules, and Blueprints.
Agents and Teams low Agent and team structures map relatively cleanly between the two platforms, though department-level permission isolation requires manual reconfiguration.

The hard parts

What makes this specific migration difficult, beyond the mechanics.

No Native Migration Path

Zoho Desk's Zwitch migration tool only supports Freshdesk and Zendesk, so Deskpro migrations require a custom CSV, API, or third-party approach.

Contact-Account Model Mismatch

Deskpro's unified "People" records with multi-organization membership must be decomposed into Zoho Desk's separate Contacts and Accounts with single-primary-Account relationships.

Thread and Comment Separation

Deskpro ticket messages and internal notes must be routed to different Zoho Desk API endpoints — threads for replies and comments for internal notes — requiring careful classification during migration.

API Credit Rate Limiting

Zoho Desk uses a credit-based daily API system that can be exhausted within hours by unthrottled scripts, stalling migrations for 24 hours at a time.

Attachment Binary Transfer

Migrating attachments requires a two-step process on both platforms — downloading blobs from Deskpro's API and re-uploading them to Zoho Desk — with no shortcut for inline or embedded attachments.

Department Permission Mapping

Deskpro's department structure does not map 1:1 to Zoho Desk's department isolation model, requiring careful reconfiguration of agent permissions and ticket routing rules.

Tools used in this playbook

All free, all run entirely in your browser — nothing is uploaded.

FAQ

Can I migrate from Deskpro to Zoho Desk using a built-in tool?

No. Zoho Desk's native migration utility (Zwitch) only supports Freshdesk and Zendesk. Deskpro-to-Zoho migrations require CSV export/import, API scripting, a third-party tool, or a managed migration service.

Does Zoho Desk CSV import preserve ticket threads and attachments?

No. Zoho Desk's CSV import creates flat ticket records without threads, comments, or attachments. To preserve full conversation history and file attachments, you must use the Zoho Desk REST API.

What are Zoho Desk's API rate limits for migration?

Zoho Desk uses a credit-based API system. Credits range from 5,000/day (Free) to 100,000/day + 1,000 per agent (Enterprise). Exceeding credits returns HTTP 429. Paid plans allow purchasing up to 5,000,000 additional credits.

Does Zoho Desk require a contact for every ticket?

Yes. Zoho Desk does not allow creating a ticket without associating it to a contact. Orphan Deskpro tickets tied only to an email string need a placeholder contact or a pre-merge pass before loading.

What data cannot be migrated from Deskpro to Zoho Desk?

Triggers, escalations, SLA rules, automations, and macros must be recreated manually in Zoho Desk. Forum/community data and Deskpro-specific features like downloads and news posts have no equivalent in Zoho Desk.

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