Helpdesk migration

Migrate from Gladly to Zoho Desk

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

Gladly logo

Gladly

Source

Zoho Desk

Destination

Zoho Desk logo

Compatibility

67%

8 of 12

objects map 1:1 between Gladly and Zoho Desk.

Complexity

CModerate

Timeline

4-7 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Gladly to Zoho Desk is an architectural translation, not a direct record copy. Gladly centers every interaction around a Customer Profile with a single open Conversation at a time; Zoho Desk organizes support around Tickets with a department-centric hierarchy and multiple simultaneous cases per contact. We split each open Gladly Conversation into individual Zoho Desk Tickets by Topic or issue type, preserving the full message history across all channels. Customer Profile data maps to Zoho Desk Contacts and Accounts, with primary contact details carried forward and secondary identifiers stored as custom fields. Topics (Gladly) map to Tags (Zoho Desk) so routing and analytics context survives the transition. Historical conversation data requires a separate export request from Gladly Professional Services or API-based extraction, which we include as a scoping milestone. Gladly Workflows, routing rules, and spam-filtering logic do not migrate as configuration; we document every active Workflow for the customer's admin to rebuild in Zoho Desk's Blueprint and workflow rule engine.

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

Gladly logo

Gladly

What's pushing teams away

  • The mandatory 10-seat minimum ($1,800/month floor) and annual contract requirement lock small teams into costs they cannot justify, especially during off-season.
  • Seasonal e-commerce brands cannot scale seats down mid-contract, making Gladly cost-prohibitive for businesses with heavy Q4 volume and leaner off-periods.
  • Competitors like Freshdesk and Zendesk offer broader app ecosystems, more third-party integrations, and more granular ticket management features that Gladly lacks.
  • Support for escalation management, issue splitting/merging, and custom ticket properties is weaker than ticket-native platforms, frustrating teams with complex support workflows.
  • Some customers report difficulty getting adequate data exports when leaving, requiring involvement of Gladly Professional Services to facilitate historical exports.

Choosing

Zoho Desk logo

Zoho Desk

What's pulling them in

  • Deep Zoho ecosystem integration lets support data tie directly to CRM contacts, invoice records in Zoho Books, and custom apps built in Zoho Creator, providing a unified customer view without third-party middleware.
  • Pricing undercuts comparable platforms significantly: Enterprise at roughly $40 per agent per month versus Zendesk at comparable tiers, making it attractive for cost-sensitive teams scaling past 10 agents.
  • Blueprints and multi-level escalations allow teams to codify support workflows and enforce SLA routing automatically, reducing manual triage for mid-size support operations.
  • Multi-channel ticket ingestion unifies email, social media, live chat, and phone into a single queue view, giving agents one inbox without context-switching across channels.
  • The free tier up to 3 agents lets small teams validate the platform before committing, reducing financial risk for startups and micro-businesses evaluating help desk software.

Object mapping

How Gladly objects map to Zoho Desk

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

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

Gladly

Customer Profile

maps to

Zoho Desk

Contact + Account

1:many
Fully supported

Gladly Customer Profiles carry the primary contact identity (name, email, phone, address) and all associated conversation history. We split each Customer Profile into a Zoho Desk Contact record (primary identity fields) and optionally an Account record (for B2B or multi-contact households). The Gladly Customer ID is stored as a custom field gladly_customer_id__c on the Zoho Desk Contact for audit and reconciliation. If the customer uses Gladly's secondary contact fields, those map to Zoho Desk Contact custom fields.

Gladly

Conversation

maps to

Zoho Desk

Ticket

1:many
Fully supported

Gladly enforces one open Conversation per Customer Profile at any time. Each Conversation maps to one or more Zoho Desk Tickets based on issue type or channel split. The Conversation subject, creation timestamp, last-modified timestamp, and status (open, paused, closed) map to Zoho Desk Ticket subject, createdTime, modifiedTime, and status. If a single Gladly Conversation contains multiple distinct issue threads, we split by Topic or message gap into separate Tickets to preserve clean issue tracking in Zoho Desk.

Gladly

Conversation Item

maps to

Zoho Desk

Comment

1:1
Fully supported

Gladly Conversation Items represent individual messages across email, SMS, voice call summary, and chat. We map each Conversation Item to a Zoho Desk Ticket Comment with direction (customer/agent), channel metadata, timestamp, and agent attribution preserved. Voice call recordings are stored as attachments in Gladly; we map the recording URL to a Zoho Desk Ticket attachment and flag it for re-link if Zoho Desk supports the same file hosting. Channel metadata (email, SMS, voice, chat) migrates as comment channel type via Zoho Desk's channel field.

Gladly

Topic

maps to

Zoho Desk

Tag

lossy
Fully supported

Gladly Topics are taggable labels applied to Conversations for routing and analytics. We export Topic assignments per Conversation and apply them as Zoho Desk Tags on the corresponding Tickets. Tags preserve the routing and category context that agents use for filtering and reporting. If Zoho Desk's department-scoped tags are in use, we coordinate tag names across departments during scoping.

Gladly

User/Agent

maps to

Zoho Desk

Agent

1:1
Fully supported

Gladly User records (name, email, role, permissions) map to Zoho Desk Agent records. We match by email address. Role mapping from Gladly (Admin, Supervisor, Agent) to Zoho Desk role profiles (Support Admin, Agent) is defined during scoping, and any role without a direct equivalent is escalated to the customer's admin for manual assignment post-migration. Inactive Gladly users migrate as inactive Zoho Desk agents to preserve historical attribution.

Gladly

Workflow

maps to

Zoho Desk

Blueprint + Workflow Rule

1:1
Fully supported

Gladly Workflows encode routing logic, spam filtering, required disclosures, and agent handoff rules as platform configuration. Zoho Desk Blueprint and workflow rules handle escalation, SLA timing, assignment, and notification flows differently. We audit every active Gladly Workflow during discovery and deliver a written specification document mapping each Workflow trigger, condition, and action to its Zoho Desk Blueprint or workflow rule equivalent. The customer's admin or a Zoho consultant rebuilds these in the destination. We do not migrate Workflows as code.

Gladly

Topic-Based Routing

maps to

Zoho Desk

Department + Assignment Rules

lossy
Fully supported

Gladly uses Topics to route Conversations to queues or agents. Zoho Desk uses Departments as the primary organizational unit with ticket assignment rules within each department. We map Gladly Topics to Zoho Desk Departments or to tag-based assignment rules depending on the customer's routing complexity. Multi-topic routing requires either department restructuring or a custom assignment rule configuration in Zoho Desk that we design and hand off.

Gladly

Webhooks

maps to

Zoho Desk

Webhooks

1:1
Mapping required

Gladly exposes a webhook system with configurable events, retry policies, and ping events. Zoho Desk has a separate webhook and third-party integration architecture. We export the customer's Gladly webhook configurations (event types, endpoints, payload structure, retry settings) during discovery and provide a written specification for reimplementing the same triggers in Zoho Desk. Any downstream systems consuming Gladly webhooks (CRMs, analytics tools, order management) need to be updated to the new Zoho Desk endpoint post-migration.

Gladly

Knowledge Base (Gladly Answers)

maps to

Zoho Desk

Help Center (Zoho Desk)

1:1
Fully supported

Gladly Answers articles (title, body, categories, metadata) map to Zoho Desk Help Center articles. We export article content, category structure, and internal/external visibility flags. Article URLs change after migration, so we document the full URL mapping for the customer's web team to set up redirects. AI-generated response templates in Gladly Answers do not migrate as AI configurations; they become standard articles that the customer's admin can re-train in Zoho Desk's Zia AI or similar tool.

Gladly

Custom Objects

maps to

Zoho Desk

Custom Fields (Contacts, Tickets, Accounts)

1:1
Mapping required

Gladly supports custom data mappings on Customer Profiles and Conversations for complex rules and custom objects. Zoho Desk implements equivalent data as department-scoped custom fields on Tickets, Contacts, or Accounts. We audit the customer's Gladly configuration for any custom objects, map them field-by-field to Zoho Desk custom fields of matching type (text, number, date, picklist, checkbox), and create the destination schema before migration. Zoho Desk enforces per-module custom field limits (total 230 across all field types) which we verify during scoping.

Gladly

Reports (Work Sessions Report)

maps to

Zoho Desk

Reports (Zoho Desk)

1:1
Fully supported

Gladly's Work Sessions Report retains old Customer IDs after profile merges, which we use to preserve both current and historical IDs during migration. Zoho Desk reporting captures agent handle time, first response time, resolution time, and CSAT natively. We export the customer's Gladly CSV reports for historical context and deliver a reconciliation note flagging any Work Sessions Report data that uses merged Customer IDs. Post-migration, the customer's admin rebuilds any custom Gladly reports as Zoho Desk report configurations.

Gladly

Secondary Contact Data

maps to

Zoho Desk

Contact Custom Fields

1:1
Fully supported

Gladly Customer Profiles store secondary contact data beyond primary email and phone (loyalty IDs, preferences, social handles, birthday). We map these to Zoho Desk Contact custom fields. Social profile URLs and messenger handles from Gladly become Zoho Desk Contact text fields. Loyalty program status and custom identifiers become picklist or text custom fields depending on the data type.

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.

Gladly logo

Gladly gotchas

High

Historical conversation import is a paid Gladly add-on

Medium

Customer IDs change on profile merges

Medium

One open Conversation per customer constraint

Low

Default API rate limit of 10 requests per second

Low

Workflows do not export as data records

Zoho Desk logo

Zoho Desk gotchas

High

Agent email identity determines comment ownership after migration

High

Blueprints and SLA policies do not export via API

Medium

File upload capped at 10GB per migration batch

Medium

Tier-gated export and migration capabilities

Low

Inbound migration is two-phase with a hard Phase 2 cutoff

Pair-specific challenges

  • Gladly historical conversation export is a paid add-on

    Gladly does not include historical conversation data in the standard API export. Customers must purchase a historical import add-on or engage Gladly Professional Services to generate the export file. When migrating to Zoho Desk, this same data requires either API-based extraction with pagination (throttled at Gladly's 10 req/sec limit) or a support-assisted export. We include historical export coordination as a scoping milestone and advise customers to request their export file early, as Gladly support turnaround can take two to four weeks. If the customer does not purchase the export, we migrate only the current-state data (Customer Profiles and open/closed Conversations from the active export window), not the full history.

  • One open Conversation constraint creates a higher Zoho Desk ticket count

    Gladly enforces a single open Conversation per Customer Profile. When migrating to Zoho Desk, each Conversation that contains multiple distinct issue threads must be split into separate Tickets to avoid conflating issues in the destination. This means a Gladly account with 5,000 open Conversations may generate 7,000-12,000 Zoho Desk Tickets depending on the complexity of issue threading. We surface this in scoping, show the customer the projected ticket count, and run the split with explicit logic so they understand why the destination ticket count exceeds the source conversation count.

  • Zoho Desk custom fields are department-scoped

    Gladly custom fields on Customer Profiles and Conversations apply globally across the account. Zoho Desk custom fields are scoped to individual departments. If the customer uses multiple Zoho Desk departments for different teams or brands, custom fields created in one department are not available in another. We scope the customer's Zoho Desk department structure during discovery and either recommend a department consolidation or a custom field standardization strategy that applies shared fields across all departments. This is a Zoho Desk architectural constraint that requires pre-migration design decisions.

  • CSV import resets ticket creation timestamps in Zoho Desk

    Zoho Desk's CSV import wizard does not preserve the original conversation creation timestamp; it sets the ticket creation time to the date of the import. For teams migrating historical conversation data, this destroys the audit trail and agent reporting context (handle time, first response, resolution time) that relies on original timestamps. We use Zoho Desk's API (not CSV import) for all ticket creation to pass the original createdTime and modifiedTime values from Gladly Conversation records. This requires the migration user to have API access and we coordinate with the customer's Zoho admin to provision it before migration begins.

  • Gladly Workflows and routing rules have no Zoho Desk equivalent as configuration

    Gladly Workflows encode spam filtering, required disclosures, routing, and agent handoff rules that are deeply tied to Gladly's conversation model. Zoho Desk Blueprint and workflow rules handle escalation, SLA timing, and assignment with a different trigger model and action set. There is no automated conversion tool for Gladly Workflows to Zoho Desk automation. We document every active Gladly Workflow during discovery with its trigger conditions, action sequence, and required disclosures, and we deliver a written specification for reimplementation in Zoho Desk. The customer's admin or a Zoho consultant rebuilds them post-migration.

Migration approach

Six steps for a successful Gladly to Zoho Desk data migration

  1. Discovery and export request

    We audit the Gladly account across object types: Customer Profiles (count, merge history), Conversations (open, paused, closed), Conversation Items (volume by channel), Topics (active list), active Workflows, active Users/Agents, Knowledge Base articles, and webhook configurations. We simultaneously request the historical conversation export from Gladly (paid add-on) or scope an API-based extraction with pagination throttled to Gladly's 10 req/sec limit. On the Zoho Desk side, we audit the department structure, existing custom fields, role profiles, and any active workflows. The discovery output is a written migration scope with projected record counts, a Zoho Desk department design recommendation, and the Workflow inventory document.

  2. Zoho Desk schema design and department mapping

    We design the destination schema in Zoho Desk. This includes mapping Gladly Topics to Zoho Desk Departments or Tags depending on routing complexity, creating custom fields on Contacts, Accounts, and Tickets (with Zoho Desk's per-module field limits verified), designing ticket layouts per department, and defining the Conversation-to-Ticket split rule based on issue type or message-channel gaps. If the customer uses multiple Zoho Desk departments, we resolve the department-scoped custom field constraint during this step. Schema is validated in a Zoho Desk sandbox or trial account before production migration begins.

  3. Data extraction from Gladly with ID reconciliation

    We extract all Customer Profiles with both current and historical Customer IDs (to handle post-merge ID retention from the Work Sessions Report), all Conversation records with status and Topic assignments, all Conversation Items with channel metadata, timestamps, and agent attribution, all active and inactive Users/Agents, and Knowledge Base articles. We export webhook configurations for the handoff document. Gladly API pagination handles large volumes at the 10 req/sec rate limit with exponential backoff. For historical conversations, we coordinate with the customer's Gladly Professional Services contact to receive the export file and ingest it into our extraction pipeline.

  4. Transformation and conversation split

    We run the Conversation-to-Ticket split logic: each Gladly Conversation becomes one or more Zoho Desk Tickets based on Topic or detected issue boundary. Customer Profile fields map to Contact and Account fields with the Gladly Customer ID preserved in a custom field. Topics map to Zoho Desk Tags. Conversation Items map to Ticket Comments with direction, channel, timestamp, and agent attribution preserved. Any Customer ID that changed due to a Gladly profile merge is resolved to the surviving ID using the historical ID map, ensuring agent-level handle-time reporting is complete in the destination. We run a reconciliation count (Contacts in, Accounts in, Tickets in, Comments in) before the Zoho Desk import phase begins.

  5. Production migration in dependency order

    We run production migration into Zoho Desk in dependency order: Agents (first, so OwnerId references resolve), Accounts (from Gladly Company data if B2B), Contacts (with AccountId resolved and gladly_customer_id__c custom field populated), Tickets (with ContactId lookup resolved, Tags applied, and original timestamps passed via API), Comments (linked to Tickets with direction, channel, and agent attribution), Knowledge Base articles, and webhook specification delivered separately. We use Zoho Desk's API (not CSV import) for Tickets and Comments to preserve original creation timestamps. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and Workflow rebuild handoff

    We freeze Gladly writes during cutover, run a final delta migration of any records modified during the migration window, then enable Zoho Desk as the system of record. We deliver the Workflow inventory document and routing specification to the customer's admin team for rebuilding in Zoho Desk Blueprint and workflow rules. We provide a URL mapping table for Gladly Answers articles migrated to the Zoho Desk Help Center. We do not rebuild Gladly Workflows as Zoho Desk automation inside the migration scope; that is a separate engagement or an internal admin task. We support a one-week post-migration validation window where we resolve reconciliation issues raised by the customer's support team.

Platform deep dives

Context on both ends of the pair

Gladly logo

Gladly

Source

Strengths

  • Native multi-channel (voice, SMS, email, chat) without separate telephony integrations.
  • Conversation-per-customer model preserves full context across interactions.
  • Flat-rate pricing with unlimited agents favors high-volume support centers.
  • AI-powered reply drafting and call summaries reduce agent handling time.
  • Strong brand roster (retail/e-commerce) with documented ROI on CSAT improvements.

Weaknesses

  • Minimum 10-seat contract creates a high floor for smaller teams.
  • Annual billing only — no monthly or pay-as-you-go options.
  • Limited escalation, issue-splitting, and ticket-property customization versus ticket-native platforms.
  • Smaller app marketplace and integration ecosystem than Zendesk or Freshdesk.
  • Historical data export requires a paid Gladly Professional Services engagement.
Zoho Desk logo

Zoho Desk

Destination

Strengths

  • Generous free tier for teams of up to 3 agents with no time limit, reducing financial risk for small support operations.
  • Per-agent flat pricing across tiers is significantly lower than Zendesk, Freshdesk, or Intercom at equivalent feature levels.
  • Tight integration with Zoho CRM, Zoho Books, and Zoho Creator provides a unified data ecosystem without third-party middleware.
  • Multi-channel ticket aggregation consolidates email, social, chat, and phone into a single queue view.
  • Assisted migration service handles the two-phase transfer process with Zoho's own migration team for inbound moves.

Weaknesses

  • The UI is frequently described as dated, clunky, and inconsistent across modules compared to modern SaaS competitors.
  • Advanced automation features including Blueprints, multi-brand, and live chat are tier-gated, limiting the free and Express plans to basic ticketing.
  • Non-Zoho integrations require custom Deluge scripting or external middleware, reducing flexibility for heterogeneous tech stacks.
  • Steep learning curve and complex customization options mean slower onboarding for new agents and ongoing training investment.
  • Export and migration capabilities are gated by plan tier, with data backup only available on higher plans.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 5 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 Gladly and Zoho Desk.

  • Object compatibility

    C

    5 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

    Gladly: 10 requests per second across all HTTP methods, with documented 429 responses and retry guidance.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Gladly to Zoho Desk 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 Gladly to Zoho Desk data migrations

Answers to the questions buyers ask most during Gladly to Zoho Desk migration scoping. Not seeing yours? Book a call.

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Most migrations land between four and seven weeks for accounts under 10,000 Customer Profiles and 50,000 Conversation Items with a straightforward topic-to-tag mapping and no department restructuring. Migrations with complex Conversation-to-Ticket splitting (multiple issues per Conversation), multi-department Zoho Desk structures, large historical conversation volumes requiring Gladly Professional Services export coordination, or extensive Knowledge Base migration move to eight to fourteen weeks. Gladly historical data export coordination alone can add two to four weeks if Gladly Professional Services is involved.

Adjacent paths

Related migrations to explore

Ready when you are

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