Helpdesk migration
Field-level mapping, validation, and rollback between Stames and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Stames
Source
Freshdesk
Destination
Compatibility
5 of 8
objects map 1:1 between Stames and Freshdesk.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Stames to Freshdesk is a structural translation from a smaller, resource-constrained helpdesk to one of the most widely deployed customer service platforms in the market. Stames organizes support around Tickets, Customers, and threaded Conversations sourced from multi-channel inboxes. Freshdesk uses an equivalent Tickets, Contacts, and Companies model with richer field typing, SLA configuration, and a 1,000-plus integration marketplace. We export Stames Tickets with their Conversation threads and channel attribution, resolve agent email matches to Freshdesk User accounts, and pre-create any custom fields that Stames has used on Tickets before writing the first record. Self-service portal configurations, notification triggers, and SLA metadata attached to Tickets do not migrate; we flag these during discovery for manual post-migration setup in Freshdesk.
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 Stames 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.
Stames
Ticket
Freshdesk
Ticket
1:1Stames Tickets map directly to Freshdesk Tickets. We preserve Ticket status (Open, Pending, Resolved, Closed), Priority, Assignee, and created-at and updated-at timestamps. Stames channel attribution (Facebook, Instagram, WhatsApp, Email, API, Contact Form) migrates as Freshdesk Ticket source field values. Custom fields used on Stames Tickets must be pre-created in Freshdesk under Admin > Support Operations before the ticket import phase begins.
Stames
Customer
Freshdesk
Contact and Company
1:manyStames Customer records map to Freshdesk Contacts. If the Stames Customer has an associated company or organization field, we map that to a Freshdesk Company record and link the Contact via the company_id field. Contact email is the dedupe key. Phone, name fields, and any standard Stames Customer properties migrate as Freshdesk Contact fields. Custom fields on Customers pre-created in Freshdesk before import.
Stames
Conversation
Freshdesk
Ticket Notes and Replies
1:1Stames Conversation records attached to a Ticket migrate as Freshdesk Ticket Notes (internal) or Replies (outbound to customer). We preserve message body, author attribution (agent vs customer), channel attribution, and timestamp ordering. Thread sequencing is maintained by setting Freshdesk's note timestamp to the original Stames Conversation created-at value. Inline images in conversation bodies migrate as Freshdesk attachments linked to the Ticket.
Stames
Channel (source attribution)
Freshdesk
Ticket Source Field
lossyStames stores channel source as a field on each Conversation record. We extract the channel value and write it to Freshdesk's native source field on the parent Ticket. Supported Freshdesk source values include Email, Portal, Chat, Phone, Feedback Widget, and API. Channels not natively supported by Freshdesk are stored as a custom text field on the Ticket for reporting.
Stames
User / Agent
Freshdesk
Agent (Freshdesk User)
1:1Stames agent accounts map to Freshdesk Agent profiles. We resolve agents by email address match. Groups from Stames map to Freshdesk Groups. Any Stames agent without a matching Freshdesk User is placed in a reconciliation queue for the customer's admin to provision before ticket import proceeds. Agent-level permission and role differences between Stames and Freshdesk are documented for admin review post-migration.
Stames
Tag
Freshdesk
Tag
1:1Tags applied to Stames Tickets migrate as Freshdesk Tags. Tag naming is preserved verbatim. Freshdesk Tags are additive labels attached to Tickets and Contacts and do not affect ticket routing or SLA configuration. Tag-based reporting in Freshdesk requires manual configuration post-migration.
Stames
Attachment
Freshdesk
Ticket Attachment
1:1File attachments on Stames Tickets and Conversations are downloaded to local storage, then uploaded to Freshdesk via the Ticket attachment API. Media URL references from Stames are replaced with Freshdesk-hosted attachment URLs in the migrated records. We preserve original filename, file size, and MIME type metadata.
Stames
Reminders and Notifications
Freshdesk
Custom Fields (flagged for manual rebuild)
lossyReminder and notification metadata attached to Stames Tickets is exported as text or datetime custom fields on the Freshdesk Ticket record. Freshdesk's native SLA, escalation, and notification rules are not configured during migration. We provide a written inventory of every Stames reminder with its trigger, recipient, and timing so the customer's Freshdesk admin can configure Freshdesk's SLA policies and notification triggers post-migration.
| Stames | Freshdesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer | Contact and Company1:many | Fully supported | |
| Conversation | Ticket Notes and Replies1:1 | Fully supported | |
| Channel (source attribution) | Ticket Source Fieldlossy | Fully supported | |
| User / Agent | Agent (Freshdesk User)1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Attachment | Ticket Attachment1:1 | Fully supported | |
| Reminders and Notifications | Custom Fields (flagged for manual rebuild)lossy | Mapping required |
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.
Stames gotchas
No public pricing page forces pricing discovery through sales
Self-service portal settings are not API-accessible
Small platform footprint limits community troubleshooting resources
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 Stames data audit
We audit the Stames account via API to enumerate all Ticket fields (standard and custom), Customer fields, Conversation records, agent accounts, groups, tags, and attachment references. We capture channel distribution (how many tickets per source channel), custom field schemas, and any data quality issues such as missing email on Customer records. We also document any Stames reminder, notification, or SLA metadata for the post-migration rebuild inventory. The output is a written migration scope with a record-count estimate and a custom field mapping table.
Freshdesk schema pre-creation
Before any record migration, we create all required Freshdesk fields via the Freshdesk API or admin interface. This includes custom Ticket fields matched to Stames custom fields, custom Contact fields, and Company field configuration. We also configure Freshdesk Groups mapped from Stames groups, and provision Freshdesk Agent accounts for each Stames agent matched by email. This step ensures that Freshdesk's schema is ready to accept records without silent field-dropping during import.
Sandbox or staging migration and reconciliation
We run a full migration into a Freshdesk staging account or sandbox using a subset of production data volume (typically the 20 most recent tickets per agent or a random sample). The customer's support operations lead reviews migrated records for field accuracy, conversation thread integrity, attachment presence, and tag consistency. We correct any field mapping errors identified in the staging pass before scheduling the production migration window.
Production migration in dependency order
We execute production migration in record dependency order: Companies (if separating Contacts from organizations), Contacts, Agents, Groups, then Tickets with Conversations and Attachments. Tags are written as a final pass linked to the migrated Tickets. Each phase produces a row-count reconciliation report. We use the Freshdesk REST API with rate-limit handling and exponential backoff to avoid throttling errors on larger ticket volumes.
Cutover and delta migration
We schedule a cutover window aligned with the customer's low-traffic period. During cutover, new Stames tickets created since the migration start are captured in a delta pass and written to Freshdesk. We freeze Stames write access after the delta pass and point the Freshdesk inbox as the active system of record. We do not delete or decommission the Stames account; the customer retains it for historical reference pending data retention policy.
Post-migration handoff and rebuild inventory
We deliver a written handoff document containing: the complete field mapping table, a list of any tickets or contacts that could not migrate due to data quality issues with resolution guidance, a portal configuration rebuild checklist for the Freshdesk Customer Portal, and a notification and SLA rebuild guide mapped from Stames reminder metadata. We do not configure Freshdesk automations, SLA policies, or portal settings as part of the standard migration scope; these are separate configuration work for the customer's Freshdesk admin.
Platform deep dives
Stames
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Stames and Freshdesk.
Object compatibility
4 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
Stames: Not publicly documented.
Data volume sensitivity
Stames 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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