Helpdesk migration
Field-level mapping, validation, and rollback between Deskero and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.
Deskero
Source
Salesforce Service Cloud
Destination
Compatibility
5 of 10
objects map 1:1 between Deskero and Salesforce Service Cloud.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Deskero and Salesforce Service Cloud are fundamentally different platforms, which makes this migration more of a rebuild than a copy. Deskero uses a flat multi-channel ticket model with social monitoring and a lightweight knowledge base. Salesforce Service Cloud embeds case management inside the broader Salesforce Customer 360 data model, where Cases sit alongside Accounts, Contacts, and Opportunities in a unified schema. We map Deskero Tickets to Salesforce Cases, Deskero Customers to Contacts (and optionally Leads), and we resolve Deskero's social mention records by linking them to Cases where associations exist or creating standalone Case records where they do not. The absence of a documented Deskero API means we begin every migration with a manual schema inventory and CSV export walkthrough before designing the Salesforce schema. Workflow configuration, SLA rules, and custom automation settings are not migratable record data and are delivered as a written rebuild inventory for the customer's admin team.
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.
Source platform
Deskero platform overview
Scorecard, SWOT, gotchas, and pricing for Deskero.
Destination platform
Salesforce Service Cloud platform overview
Scorecard, SWOT, gotchas, and pricing for Salesforce Service Cloud.
Data migration guide
The complete Salesforce Service Cloud migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Salesforce Service Cloud migration checklist
Pre- and post-cutover tasks for moving onto Salesforce Service Cloud.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Deskero object lands in Salesforce Service Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Deskero
Ticket
Salesforce Service Cloud
Case
1:1Deskero Tickets map to Salesforce Cases as the central record. Standard fields (Subject, Description, Status, Priority, Origin) migrate directly. Channel source in Deskero (web, email, chat, social) maps to Salesforce Case Origin using a mapping table constructed during scoping. Created date, closed date, and last modified date preserve as audit fields using Salesforce's Set Audit Fields permission during import. Custom fields on the Deskero Ticket object map to custom Case fields pre-created in Salesforce before migration.
Deskero
Customer
Salesforce Service Cloud
Contact
1:1Deskero Customer records map to Salesforce Contact. Name, email, phone, and company association migrate directly. Preferred Client flag from Deskero becomes a custom boolean field preferred_client__c on Contact. If Deskero customers have company-level records without an associated Account in Deskero, we create Salesforce Account records first and link Contacts via AccountId before inserting contacts. Customer custom fields map separately to custom Contact fields and are reconciled against Case custom fields during scoping to avoid field name collisions.
Deskero
Customer
Salesforce Service Cloud
Lead
lossyDeskero Customers who have never opened a support ticket or who represent uncontacted prospects may represent Salesforce Leads rather than Contacts. We define the split rule during scoping: any Deskero Customer with zero associated Tickets maps to Lead; any with one or more Tickets maps to Contact on an Account. The customer's admin confirms this boundary before migration. Original Deskero Customer data is preserved in a custom field deskero_customer_id__c on both Lead and Contact for audit.
Deskero
Knowledge Base Articles
Salesforce Service Cloud
Knowledge Articles
1:1Deskero KB articles map to Salesforce Knowledge articles. Article title, body content, and publish status migrate directly. Deskero's category structure maps to Salesforce Data Category Groups and Categories during scoping: we inspect the exported KB sample, identify the category hierarchy depth, and reconstruct it as Salesforce Knowledge data categories. Article-to-ticket associations migrate as CaseArticle junction records linking each Case to the relevant Knowledge article URL. If Deskero KB does not export metadata (view counts, last updated), we migrate articles in published state and note the omission.
Deskero
Canned Answers
Salesforce Service Cloud
Email Templates
lossyDeskero Canned Answers (pre-written response templates) map to Salesforce Email Templates. Template name and body content migrate directly. Category groupings in Deskero map to Salesforce Email Template folders. Canned Answers are not tied to specific tickets in Deskero, so they become standalone templates available to agents in the Salesforce Service Console. The customer determines whether templates should be scoped to specific Case Record Types or available org-wide.
Deskero
Tag
Salesforce Service Cloud
Case Tag or Custom Text Field
lossyDeskero tags applied across tickets and customers migrate to Salesforce depending on tag use pattern. Tags used for categorization within a single migration (under 100 distinct tag strings) map to a custom multi-select picklist field on Case. Tags used as flexible cross-object labels with unbounded growth map to a custom text field with comma-separated values, preserving the original tag strings. Tag distribution and counts are preserved for reporting comparison post-migration.
Deskero
Custom Fields (Ticket)
Salesforce Service Cloud
Custom Fields (Case)
lossyDeskero custom fields on Tickets require a manual field inventory during scoping since no public schema exists. We request the customer to export a full field list from the Deskero admin panel and we map each field individually to a pre-created Salesforce custom field on Case. Field type mapping follows standard rules: text to Text, numbers to Number, dates to Date, dropdowns to Picklist. Validation rules in Salesforce that conflict with legacy Deskero data values are flagged for temporary disablement during import.
Deskero
Custom Fields (Customer)
Salesforce Service Cloud
Custom Fields (Contact)
lossyDeskero custom fields on Customers are inventoried separately from Ticket custom fields during scoping. Each field maps to a custom Contact field in Salesforce. If the destination org uses Person Accounts, Customer custom fields can alternatively map to custom fields on Account. The customer chooses the preferred schema during scoping based on their existing Salesforce data model.
Deskero
Social Monitor Mention
Salesforce Service Cloud
Case or CaseComment
1:1Deskero social monitoring mentions are linked to tickets where association exists; standalone mentions have no ticket linkage. During scoping we ask the customer to decide: linked mentions migrate as CaseComment or EmailMessage records on the associated Case; unlinked mentions are either imported as standalone Cases with Origin=Social and a custom source_url__c field, or excluded from migration scope. This decision is required before the import pass begins because it affects record counts and schema design.
Deskero
Agent / Owner
Salesforce Service Cloud
User
1:1Deskero agent records map to Salesforce User by email match. We extract all distinct agent identifiers from ticket assignee and customer owner fields and match against the Salesforce User table. Any Deskero agent without a corresponding Salesforce User is placed in a reconciliation queue for the customer's admin to provision. Inactive Salesforce Users are supported via the Update Records with Inactive Owners permission during migration.
| Deskero | Salesforce Service Cloud | Compatibility | |
|---|---|---|---|
| Ticket | Case1:1 | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Customer | Leadlossy | Fully supported | |
| Knowledge Base Articles | Knowledge Articles1:1 | Mapping required | |
| Canned Answers | Email Templateslossy | Mapping required | |
| Tag | Case Tag or Custom Text Fieldlossy | Fully supported | |
| Custom Fields (Ticket) | Custom Fields (Case)lossy | Fully supported | |
| Custom Fields (Customer) | Custom Fields (Contact)lossy | Fully supported | |
| Social Monitor Mention | Case or CaseComment1:1 | Fully supported | |
| Agent / Owner | User1:1 | 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.
Deskero gotchas
No publicly documented REST API endpoint reference
Knowledge base articles may require separate export process
Social monitoring mentions are not guaranteed to link back to tickets
Custom fields on tickets may differ from custom fields on customers
Salesforce Service Cloud gotchas
Data Export 512MB file size cap breaks large org exports
API Daily Request Limits vary by license edition
No automatic data backup in base Salesforce
Picklist dependencies silently break records when unmapped
Workflow rules fire unexpectedly during data load
Pair-specific challenges
Migration approach
Schema inventory and CSV export walkthrough
Since Deskero lacks a documented API, we begin every migration with a manual schema walkthrough. We request admin panel access and run sample exports of Tickets, Customers, KB Articles, Canned Answers, Tags, and Social Mentions. We compare the export schema against the customer's live Deskero configuration to identify all active custom fields, category structures, and tag sets. This inventory output drives the Salesforce schema design: custom fields to pre-create, category trees to reconstruct, and object relationships to configure before any data moves.
Destination schema design in Salesforce
We design the Salesforce destination schema in a Sandbox org. This includes pre-creating custom fields on Case and Contact to receive Deskero custom field data, defining Salesforce Knowledge Data Category Groups and Categories based on the Deskero KB structure, creating Email Template folders for Canned Answer categories, and configuring any Case Origin or Status picklist values that match Deskero's ticket states. Record Types are created if the customer requires separate ticket types (for example, separate billing and technical support queues). Schema is validated in Sandbox before production migration begins.
Social mention linkage and KB hierarchy decisions
We present the customer with two decision points before migration begins. First, the social mention disposition: linked mentions migrate as CaseComment records; unlinked mentions are imported as standalone Cases or excluded. Second, the KB category tree: if Deskero's export does not contain a category hierarchy, we work with the customer to define Salesforce Knowledge Data Categories manually. These decisions are required before the import pass; failing to resolve them causes rework during production migration.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using the actual exported data volume. The customer's support operations lead reconciles record counts across all objects, spot-checks 20-30 random Cases and Contacts against the Deskero source, and validates that KB articles are published and linked correctly. Custom field mapping accuracy, category tree completeness, and social mention linkage are all verified here. The customer signs off the Sandbox migration before we proceed to production.
Production migration in dependency order
Production migration follows record dependency order: Accounts (from Deskero company associations), Contacts (with AccountId resolved and Preferred Client flag set), Leads (for unlinked Deskero customers per the scoping split rule), Cases (with Origin, Status, Priority, and OwnerId resolved), Case Comments (for linked social mentions and thread history), Knowledge Articles (with Data Category assignments), Email Templates (from Canned Answers), and finally Tag associations. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and configuration rebuild handoff
We freeze Deskero writes during cutover, run a final delta migration of any records modified during the migration window, then mark Salesforce Service Cloud as the system of record. We deliver the SLA and Workflow Configuration Rebuild Inventory to the customer's Salesforce admin, documenting each Deskero SLA, workflow trigger, and escalation path with a recommended Entitlement Management or Flow equivalent. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Deskero workflows as Salesforce Flow inside the migration scope.
Platform deep dives
Deskero
Source
Strengths
Weaknesses
Salesforce Service Cloud
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 1 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Deskero and Salesforce Service Cloud.
Object compatibility
1 of 7 objects need a manual workaround.
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
Deskero: Not publicly documented.
Data volume sensitivity
Deskero 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
Pick a category, then your source and destination platforms.
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FAQ
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