Helpdesk migration

Migrate from Deskero to Salesforce Service Cloud

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 logo

Deskero

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

50%

5 of 10

objects map 1:1 between Deskero and Salesforce Service Cloud.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Deskero logo

Deskero

What's pushing teams away

  • API documentation is not publicly accessible or well-indexed, making automated integrations and data exports difficult to build without vendor support.
  • Teams requiring advanced automation rules, multi-brand support, or enterprise-grade SLA enforcement outgrow Deskero's feature set.
  • Performance and reliability concerns surface in longer-term use, with some teams citing slow load times on the ticket list view under high volume.
  • As the product scales, the CRM-like positioning is not backed by full relationship management features, leading teams to migrate to platforms with stronger contact and pipeline capabilities.
  • Support for the platform appears limited in recent years, reducing confidence in continued development and bug resolution.

Choosing

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How Deskero objects map to Salesforce Service Cloud

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

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

Deskero 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

maps to

Salesforce Service Cloud

Contact

1:1
Fully supported

Deskero 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

maps to

Salesforce Service Cloud

Lead

lossy
Fully supported

Deskero 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

maps to

Salesforce Service Cloud

Knowledge Articles

1:1
Mapping required

Deskero 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

maps to

Salesforce Service Cloud

Email Templates

lossy
Mapping required

Deskero 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

maps to

Salesforce Service Cloud

Case Tag or Custom Text Field

lossy
Fully supported

Deskero 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)

maps to

Salesforce Service Cloud

Custom Fields (Case)

lossy
Fully supported

Deskero 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)

maps to

Salesforce Service Cloud

Custom Fields (Contact)

lossy
Fully supported

Deskero 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

maps to

Salesforce Service Cloud

Case or CaseComment

1:1
Fully supported

Deskero 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

maps to

Salesforce Service Cloud

User

1:1
Fully supported

Deskero 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.

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.

Deskero logo

Deskero gotchas

High

No publicly documented REST API endpoint reference

Medium

Knowledge base articles may require separate export process

Medium

Social monitoring mentions are not guaranteed to link back to tickets

Low

Custom fields on tickets may differ from custom fields on customers

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • Deskero has no publicly documented REST API

    Deskero does not publish API documentation in its public developer resources. We have been unable to confirm export endpoints, authentication method, or rate limits from Deskero's own site. This means we cannot build an automated extraction pipeline. Every Deskero migration begins with a manual schema walkthrough: we request admin panel export access, review a sample CSV or JSON export, and identify all active fields, custom fields, and objects before designing the Salesforce schema. If the customer does not have API access credentials or cannot provide a full export from the admin panel, migration scope may be limited to whatever is accessible via the CSV export, which may not include attachments, full thread history, or all custom field values in a single pass.

  • Knowledge base category hierarchy requires manual reconstruction

    Deskero's KB admin panel export may produce a flat article list with category names but without a machine-readable category tree structure. Salesforce Knowledge requires Data Category Groups and Categories to be defined before article import. We request a sample KB export during scoping and assess whether the category hierarchy is inferable from the exported data. If the hierarchy is not present in the export, we work with the customer to rebuild the category tree manually in Salesforce Knowledge before articles are imported. This step adds scoping time and must be resolved before the article migration phase begins.

  • Social mentions without ticket linkage require a disposition decision

    Deskero's social monitoring feature creates standalone mention records that are not guaranteed to be linked to a support ticket. The migration cannot proceed past social mention import without a customer decision on how to handle unlinked mentions. The three options are: import as standalone Cases with Origin=Social and a custom source URL field, merge into existing Cases based on customer name or company matching, or exclude from migration scope entirely. This decision point is addressed during scoping. Skipping it causes delay during the import pass.

  • Salesforce validation rules block legacy Deskero data

    Salesforce orgs commonly enforce validation rules, required field rules, and picklist whitelists that were configured against Salesforce-native workflows and will reject legacy Deskero data values. Before migration, we audit the destination Salesforce org's active validation rules and either temporarily disable them during the load window or extend them with a migration-context bypass condition. Custom picklist values that exist in Deskero but not in Salesforce must be added to the picklist before records can be inserted.

  • Deskero SLA and workflow configuration is not migratable data

    Deskero's SLA settings, escalation rules, and workflow customizations are platform-level configuration rather than record data. They cannot be exported as structured data. Salesforce Entitlement Processes, Milestones, and Omni-Channel routing configurations are built natively in Salesforce and must be designed against the customer's current support SLAs. We deliver a written configuration inventory document that enumerates each Deskero SLA, workflow trigger, and escalation path with a recommended Salesforce Entitlement Management or Flow equivalent. Rebuild is outside migration scope.

Migration approach

Six steps for a successful Deskero to Salesforce Service Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Deskero logo

Deskero

Source

Strengths

  • Multi-channel ticket aggregation from web, email, chat, and social in a unified agent inbox.
  • Free tier available with core ticketing features, lowering barrier to trial and adoption.
  • Native knowledge base with article-to-ticket linking for self-service deflection workflows.
  • Canned answers and smart actions for one-click responses reduce agent response time.
  • Social monitoring baked into the platform without requiring separate tooling.

Weaknesses

  • No publicly documented REST API — integrations and automated exports are vendor-dependent.
  • Workflow automation is limited compared to Zendesk, Freshdesk, or Jira Service Management.
  • Limited update cadence and reduced community activity suggest the product may be in maintenance mode.
  • Knowledge base does not support advanced versioning or branching workflows.
  • Multi-brand or multi-tenant support is absent, making it unsuitable for agencies or large B2B SaaS companies.
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 1 of 7 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Deskero and Salesforce Service Cloud.

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • 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

    Deskero: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Deskero to Salesforce Service Cloud 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 Deskero to Salesforce Service Cloud data migrations

Answers to the questions buyers ask most during Deskero to Salesforce Service Cloud migration scoping. Not seeing yours? Book a call.

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Small migrations under 10,000 tickets with no knowledge base articles land in three to five weeks. Mid-size migrations with KB articles, custom fields on both tickets and customers, and social mention records requiring linkage decisions move to six to nine weeks. Complex migrations with large historical ticket volumes (over 50,000 records) or knowledge base hierarchies requiring manual category tree reconstruction reach nine to twelve weeks. The absence of a documented Deskero API means scoping takes longer than migrations from platforms with public API access.

Adjacent paths

Related migrations to explore

Ready when you are

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