Helpdesk migration
Field-level mapping, validation, and rollback between Keeping and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Keeping
Source
Freshdesk
Destination
Compatibility
5 of 8
objects map 1:1 between Keeping and Freshdesk.
Complexity
CModerate
Timeline
1-2 weeks
Overview
Moving from Keeping to Freshdesk is a structural migration that requires reconstructing a customer record from ticket metadata because Keeping does not expose a standard database export. Keeping structures its support data around Tickets, Customers, and Slack Channels, but stores no standalone CRM layer or reporting module. We extract ticket data from Keeping's Slack thread exports, parse customer information from ticket metadata fields, and map thread timestamps to Freshdesk conversation Notes with original timestamps preserved in custom fields. Freshdesk's plan tier determines API availability: the Sprout free plan does not expose the REST API, requiring Blossom ($29/agent/month) or above. We confirm the customer's plan tier before scoping and flag this during discovery. We do not migrate Keeping's Slack-based automations or Shared Inbox routing rules; we deliver a written inventory of these for the customer's admin to rebuild 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 Keeping 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.
Keeping
Ticket
Freshdesk
Ticket
1:1Keeping Tickets map directly to Freshdesk Ticket records. The Keeping ticket subject becomes Freshdesk subject, ticket status maps to Freshdesk status (Open, Pending, Resolved, Closed), priority maps to priority (Low, Medium, High, Urgent), and the Slack thread timestamp becomes Freshdesk's created_at with the original timestamp preserved in a custom field keeping_created_at__c for audit. We extract ticket content from the Slack thread export and insert it as a Freshdesk Note on the ticket so agents see the full conversation without accessing Slack.
Keeping
Customer
Freshdesk
Contact
1:1Keeping does not have a standalone customer database; contact information lives in ticket metadata (email, name, company name). We parse these fields from every Keeping ticket during extraction, deduplicate by email address, and create Freshdesk Contact records. The contact's ticket history attaches via Freshdesk's Conversation thread view. Any company name detected in ticket metadata becomes a Freshdesk Company record with a lookup from the Contact.
Keeping
Customer
Freshdesk
Company
1:1We reconstruct Freshdesk Company records from company names parsed in Keeping ticket metadata. When no company name is present on a ticket, we create a Company record using the contact's email domain. Company records are created before Contact import so that the lookup relationship is satisfied on Contact insert.
Keeping
Slack Channel
Freshdesk
Group
lossyKeeping's Slack Channels map to Freshdesk Groups. We inventory every distinct Slack Channel referenced in the Keeping export, create matching Groups in Freshdesk (Agents, Groups under Admin), and resolve the group assignment during ticket import. If the customer used Slack Channels as topic-based buckets rather than team assignments, we recommend converting them to Freshdesk Products or Tags instead.
Keeping
Ticket Attachment
Freshdesk
Ticket Attachment
1:1Slack-attached files (images, PDFs, documents) are re-hosted in Freshdesk. Freshdesk accepts attachments up to 15 MB per file via the API. Files exceeding this limit are flagged during scoping and the customer decides whether to archive them externally or load them separately. We preserve the original Slack file URL in a custom field keeping_attachment_url__c on the Freshdesk ticket for reference.
Keeping
Ticket Timestamp
Freshdesk
Custom Field: keeping_created_at__c
lossyFreshdesk's native created_at timestamp records when the ticket was inserted in Freshdesk, not when it was originally created in Keeping. We preserve the original Keeping creation timestamp in a custom datetime field keeping_created_at__c on every ticket so that reporting reflects the true customer service timeline. Agent response time and resolution time metrics in Freshdesk are computed against Freshdesk timestamps, which is the expected behavior post-migration.
Keeping
Custom Field
Freshdesk
Custom Field
lossyKeeping custom fields are documented during scoping by reviewing ticket export samples. Freshdesk custom fields are pre-created in the destination account before migration (Admin, Support Operations, Ticket Fields). Field types are matched: Keeping text fields become Freshdesk text fields, dropdowns become picklists, and date fields become date fields. Required custom fields in Freshdesk are temporarily set to optional during import and re-required after migration to prevent record rejection.
Keeping
Tag
Freshdesk
Tag
1:1Keeping tags (if used on tickets) migrate to Freshdesk Tags. Tags in Freshdesk are applied to Tickets and Contacts and are visible in the agent inbox. We extract tag values from the Keeping export, create matching Tags in Freshdesk, and apply them to the migrated tickets. Tags are not used for workflow routing in Freshdesk; that is handled by Freshdesk's Workflow Automator which requires rebuild post-migration.
| Keeping | Freshdesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Customer | Company1:1 | Fully supported | |
| Slack Channel | Grouplossy | Fully supported | |
| Ticket Attachment | Ticket Attachment1:1 | Fully supported | |
| Ticket Timestamp | Custom Field: keeping_created_at__clossy | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag | Tag1:1 | 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.
Keeping gotchas
Data lives in Gmail, not Keeping — extraction needs Gmail API
Internal notes do not appear in Gmail
Enterprise tier has a 10-user minimum at $49/user/month
No public API surface beyond the Chrome extension
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 export extraction
We audit the Keeping account by reviewing Slack channel exports, ticket volume, metadata structure, custom fields used, and any tagged or labeled ticket categories. We confirm the customer's destination Freshdesk plan tier to determine whether the REST API is available (Blossom or above) or whether CSV import applies (Sprout). The discovery output is a written scope document including the object inventory, the export structure assessment, and the recommended Freshdesk plan for API access.
Contact and company reconstruction
Because Keeping does not store a standalone customer database, we reconstruct Freshdesk Contact and Company records by parsing email addresses, names, and company identifiers from every ticket in the Keeping export. We deduplicate contacts by email, create Company records from email domains or explicit company names, and build the parent-child relationship in Freshdesk before ticket import so that the Contact lookup is satisfied on every ticket insert.
Freshdesk schema preparation
We create Groups in Freshdesk matching the Keeping Slack Channels, configure custom ticket fields to match Keeping metadata, and set up Freshdesk Tags for any label-based categorization used in Keeping. Custom fields are set to optional during import and re-required after migration to prevent records from being rejected. If the customer is on a paid Freshdesk plan, we pre-create any required Custom Objects.
Demo migration to Freshdesk Sandbox
We run a test migration of 50-100 tickets into the customer's Freshdesk Sandbox (or a trial account if Sandbox is unavailable) to validate field mapping, timestamp preservation, and conversation thread rendering. The customer's support team reviews the test tickets and confirms that the Slack-to-Freshdesk-Notes transformation meets their expectations. Any mapping corrections are documented before production migration begins.
Production migration and delta window
We run production migration in dependency order: Contacts and Companies first, then Tickets with conversation Notes linked, then Tags applied, then attachments re-hosted from Slack to Freshdesk (respecting the 15 MB file limit). For Blossom-tier and above, we use the Freshdesk REST API with batched requests and exponential backoff. We leave a delta migration window of 48 hours after cutover to capture any new tickets created in Keeping during the transition period.
Automation rebuild handoff and cutover
We deliver a written inventory of every Keeping rule and Shared Inbox routing configuration documented during scoping, mapped to Freshdesk Workflow Automator equivalents with step-by-step setup instructions. We do not rebuild these as part of the migration scope. We enable a one-week hypercare window where we resolve any reconciliation issues in Freshdesk. The customer's admin completes the Freshdesk plan upgrade (if not already on Blossom or above) before migration begins so that the API is available throughout.
Platform deep dives
Keeping
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 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 Keeping and Freshdesk.
Object compatibility
3 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
Keeping: Not publicly documented.
Data volume sensitivity
Keeping 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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FAQ
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