Helpdesk migration
Field-level mapping, validation, and rollback between Gladly and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Gladly
Source
Freshdesk
Destination
Compatibility
6 of 8
objects map 1:1 between Gladly and Freshdesk.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Gladly to Freshdesk is a data-model translation from a conversation-centric to a ticket-centric architecture. Gladly enforces one open Conversation per Customer Profile at any time; Freshdesk generates a new Ticket for every inbound message thread. We split each Gladly Conversation into individual Freshdesk Tickets while preserving the full message history and channel metadata per item. Customer Profiles map directly to Freshdesk Contacts with email and mobile as dedupe keys. Gladly Topics map to Freshdesk Tags. Agent records migrate by email match, with inactive or missing agents held in a reconciliation queue. Workflows, spam rules, and handoff logic do not export as data and are documented for manual rebuild in Freshdesk's automation builder.
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 Gladly object lands in Freshdesk, 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
Freshdesk
Contact
1:1Gladly Customer Profiles map to Freshdesk Contacts using email as the primary dedupe key and mobile phone as a secondary dedupe attribute. Each Gladly Customer record carries a unique Customer ID that is preserved as a custom field gladly_customer_id__c on the Freshdesk Contact for audit and reporting continuity. Note that Gladly allows one open Conversation per Customer at a time; we preserve the full profile regardless of whether the customer had active or resolved Conversation history.
Gladly
Conversation
Freshdesk
Ticket
1:manyThis is the central transformation in the migration. Gladly's single-open Conversation per Customer does not map 1:1 to Freshdesk Tickets because a single Gladly Conversation can span multiple issue types and channels. We split each Gladly Conversation into Freshdesk Tickets by channel (email, SMS, voice, chat) and, where Topics are present, by Topic classification. The original Gladly Conversation ID is preserved in a custom field gladly_conversation_id__c on each resulting Freshdesk Ticket. Customers with high conversation density will see a higher ticket count in Freshdesk than their Gladly Conversation count; this is expected and we document the ratio during scoping.
Gladly
Conversation Item
Freshdesk
Ticket Reply
1:1Gladly Conversation Items represent individual messages across all channels (email body, SMS text, voice transcript segment, chat message) within a Conversation. We migrate each Item as a Freshdesk Conversation note on the parent Ticket, preserving the channel metadata (channel_type), timestamp, agent attribution (from_user_id), and any attachment URLs. Voice call transcripts migrate as internal notes unless the customer requests customer-visible replies for transcript sharing.
Gladly
Topic
Freshdesk
Tag
1:1Gladly Topics are taggable classification labels applied to Conversations for routing, SLA tracking, and analytics. We export Topic assignments per Conversation and apply them as Freshdesk Tags on the corresponding Ticket(s) after the split. If the customer's Gladly instance uses a Topic hierarchy (parent Topic with sub-Topics), we flatten these into a dot-separated tag string (e.g., Billing.Refund, Billing.Subscription) to preserve the hierarchy within Freshdesk's flat tag model.
Gladly
User / Agent
Freshdesk
Agent
1:1Gladly User records (name, email, role, permissions, active/inactive status) map to Freshdesk Agents. Resolution is by email address match. We export all agents including inactive ones so that historical assignments in Conversation Items can be attributed correctly. Any Gladly User without a matching Freshdesk Agent email is placed in a reconciliation queue for the customer's admin to provision before the agent migration phase runs.
Gladly
Gladly Answers (Knowledge Base)
Freshdesk
Solutions
1:1Gladly Answers articles with their category hierarchy and article metadata export to Freshdesk Solutions. Article content migrates as HTML or markdown depending on the original format. We preserve article status (draft, published) and author attribution. AI-generated response drafts from Gladly's AI assistant do not migrate as standalone articles; they are documented as a note that the customer should review Freshdesk's FREDDY AI article suggestion feature as the equivalent capability.
Gladly
Custom Object
Freshdesk
Custom Object
1:1If the customer's Gladly instance uses custom objects (products, orders, subscriptions, loyalty records), we audit the custom object schema during discovery and map it to Freshdesk's Custom Object framework available from the Growth plan onward. Custom Object records in Freshdesk can be associated to Contacts and Tickets via lookup fields. We pre-create the destination Custom Object schema including all field types before any data import to avoid validation failures during load.
Gladly
Webhook
Freshdesk
Webhook
lossyGladly Webhook configurations (event triggers, endpoint URLs, retry policies, and payload filters) are exported as a written configuration inventory. Freshdesk's outbound webhooks (available on Growth plan and above) require reconfiguration by the customer's admin because webhook event names and payload schemas differ between platforms. We do not automate the webhook reconfiguration but provide the full inventory with Freshdesk equivalent field mapping so the admin can rebuild them manually or via Freshdesk's automation builder.
| Gladly | Freshdesk | Compatibility | |
|---|---|---|---|
| Customer Profile | Contact1:1 | Fully supported | |
| Conversation | Ticket1:many | Fully supported | |
| Conversation Item | Ticket Reply1:1 | Fully supported | |
| Topic | Tag1:1 | Fully supported | |
| User / Agent | Agent1:1 | Fully supported | |
| Gladly Answers (Knowledge Base) | Solutions1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Webhook | Webhooklossy | 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.
Gladly gotchas
Historical conversation import is a paid Gladly add-on
Customer IDs change on profile merges
One open Conversation per customer constraint
Default API rate limit of 10 requests per second
Workflows do not export as data records
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
Discovery and historical export coordination
We audit the Gladly instance across Customer Profiles, Conversations, Conversation Items, Topics, Users, and any Custom Object configurations. Simultaneously, the customer initiates the historical conversation data export request with Gladly support or Professional Services. We scope the conversation volume, average Conversation Item count per Conversation, and Topic taxonomy complexity. We also confirm the destination Freshdesk plan tier (Blossom or above required for API access) and identify any Freshdesk Custom Objects that need schema pre-creation before migration begins.
Schema design and Custom Object provisioning
We design the Freshdesk destination schema including Contact fields (mapping email and mobile as dedupe keys, plus the gladly_customer_id__c custom field), Ticket fields (including gladly_conversation_id__c and channel type), Tag taxonomy (flattening any Topic hierarchies), and Custom Object definitions if applicable. If the destination is on Growth or above, we provision Freshdesk Custom Objects via the API with all required fields and lookup relationships before any record import. Schema is validated in a staging environment before production migration begins.
Sample migration and conversation-split validation
We run a sample migration of 50-100 Customer Profiles and their associated Conversations into Freshdesk to validate the split logic. We split each Gladly Conversation into Freshdesk Tickets by channel and Topic, record the resulting ticket count, and compare it against the original Conversation count to compute the split ratio. The customer's support operations lead reviews the sample output and approves the split strategy before the full migration proceeds. Any Topic-to-Tag mapping adjustments happen in this phase.
Agent provisioning and topic-tag handoff
We extract all Gladly Users and resolve them by email against the Freshdesk Agent table. Agents without a matching Freshdesk account go to a reconciliation queue. The customer's admin provisions missing agents and assigns roles and group memberships before agent migration runs. We simultaneously apply the Topic taxonomy as Freshdesk Tags so that tag-based routing rules can be rebuilt in Freshdesk's Automation Rules after migration.
Full production migration in dependency order
We run production migration in sequence: Contacts (Customer Profiles first), Tickets (Conversation split applied), Ticket Replies (Conversation Items), Tags (Topics), Knowledge Base articles (Gladly Answers to Freshdesk Solutions), and Custom Objects last. Gladly's 10 req/s API limit is enforced client-side with pagination. Freshdesk API batch sizes are adjusted per the destination plan tier. Each phase emits a row-count reconciliation report before the next phase begins.
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 Freshdesk as the system of record. We validate Contact-to-Ticket relationships, tag coverage on migrated Tickets, and Custom Object lookups. We deliver a written inventory of Gladly Workflow configurations, routing rules, and Webhook endpoints for the customer's admin to rebuild using Freshdesk's Automation Rules and outbound webhook builder. We support a one-week hypercare window for reconciliation issues.
Platform deep dives
Gladly
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 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 Gladly and Freshdesk.
Object compatibility
1 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
Gladly: 10 requests per second across all HTTP methods, with documented 429 responses and retry guidance.
Data volume sensitivity
Gladly 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
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Category
FAQ
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