Helpdesk migration

Migrate from Ticksy to Salesforce Service Cloud

Field-level mapping, validation, and rollback between Ticksy and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.

Ticksy logo

Ticksy

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

70%

7 of 10

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

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Ticksy to Salesforce Service Cloud is a capability step-up migration, not a record copy. Ticksy's data model is deliberately lean: Tickets (distinguished as Private or Public), a Knowledge Base, three Custom Field types, and agent accounts with no SLA objects, pipelines, or routing tiers. Salesforce Service Cloud wraps all of this in a case-management model anchored to Contacts and Accounts, with Knowledge Articles, entitlement management, and OmniFlow for automation. We resolve the Ticksy export challenge (no documented API) by building a structured extraction from authenticated session data, then normalize it to Salesforce's Contact-Account-Case hierarchy. Public ticket visibility is preserved as a custom field since Salesforce has no native community-visibility flag. We do not migrate email routing rules or Ticksy's built-in KB as Salesforce Knowledge Articles without manual category mapping. Workflows and automations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in OmniFlow.

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

Ticksy logo

Ticksy

What's pushing teams away

  • No native mobile app means agents who need to triage or reply on the go must use the web app in a browser, which users find limiting compared to dedicated iOS/Android clients.
  • As teams scale beyond a handful of support agents, the lack of advanced routing, SLA timers, and workload management features forces teams toward more capable platforms.
  • The platform has very low brand visibility and a minimal review footprint, making it hard for teams to justify continuing to use a niche tool when enterprise vendors offer more familiar tooling.
  • Ticksy.app (a Spanish hospitality POS system) shares the brand name but is entirely unrelated, causing SEO confusion and occasional misdirected support requests that frustrate customers.

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 Ticksy objects map to Salesforce Service Cloud

Each row shows how a Ticksy 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.

Ticksy

Ticket

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

Ticksy Tickets map to Salesforce Case records. Each Ticksy ticket's status (open, closed), priority (low, medium, high), assignee, and created/updated timestamps transfer directly to Case.Status, Case.Priority, Case.OwnerId, and Case.CreatedDate. The Ticksy subject line maps to Case.Subject; the ticket body and thread (all replies) concatenate into Case.Description. We handle the parent Contact or Account resolution by matching the ticket submitter's email address against the Salesforce Contact table, creating a Contact if no match exists.

Ticksy

Ticket (Public visibility flag)

maps to

Salesforce Service Cloud

Case + Custom Field

lossy
Fully supported

Ticksy distinguishes Public (community-visible) from Private (agent-customer only) Tickets. Salesforce has no native community-visibility field on Case. We preserve this flag as a custom checkbox field on Case called Is_Community_Visible__c. Public Tickets set this to true; Private Tickets set it to false. During Salesforce Community portal setup, Case visibility rules can reference this field so that community members see only threads that were public in Ticksy.

Ticksy

Comment / Reply Thread

maps to

Salesforce Service Cloud

CaseComment

1:1
Fully supported

Each Ticksy ticket reply (agent and customer messages) migrates as a Salesforce CaseComment record attached to the parent Case. The comment body, author name, author email, and timestamp transfer directly. We preserve thread ordering by setting CaseComment.CreatedDate to the original Ticksy timestamp. If the comment author has a matching Salesforce Contact, we link CaseComment.CreatedById to the corresponding User record.

Ticksy

Knowledge Base Article

maps to

Salesforce Service Cloud

KnowledgeArticleVersion

1:1
Fully supported

Ticksy KB articles (title, body, category, and publish state) map to Salesforce Knowledge ArticleVersion records. The article body migrates as the Salesforce Article body; categories map to Salesforce Data Category Group selections. Publish state from Ticksy maps to Salesforce Article's validation status. We flag articles exceeding 32,000 characters for Salesforce's rich text field split into multiple article versions.

Ticksy

KB Category

maps to

Salesforce Service Cloud

Data Category

lossy
Fully supported

Ticksy KB category strings normalize to Salesforce Knowledge data category group selections. We extract the full Ticksy category hierarchy, map each node to a Salesforce Data Category, and attach data category selections to each migrated KnowledgeArticleVersion. Customers with flat Ticksy categories receive a flat Salesforce category structure unless a hierarchical mapping is specified during scoping.

Ticksy

Custom Field (text, multiline, dropdown)

maps to

Salesforce Service Cloud

Custom Field on Case

1:1
Fully supported

Ticksy Custom Fields (text, multiline, dropdown) are extracted from their separate schema definition, then created as Salesforce Custom Fields on the Case object using the same API name with a __c suffix. Dropdown options in Ticksy become Salesforce Picklist values on the corresponding custom field. Field-level security is set to read/edit for the System Administrator profile during migration and handed off to the customer's admin for org-wide configuration.

Ticksy

Attachment

maps to

Salesforce Service Cloud

ContentVersion + ContentDocumentLink

1:1
Fully supported

Ticket attachments are extracted as binary assets from Ticksy and re-loaded into Salesforce as ContentVersion records linked to the parent Case via ContentDocumentLink. We preserve the original filename and MIME type. Attachments exceeding 25 MB are flagged for Salesforce file size handling. Any unusual file types (executable, compressed archives) are flagged for the customer's admin to review for security policy compliance.

Ticksy

User / Agent

maps to

Salesforce Service Cloud

User

1:1
Fully supported

Ticksy agent accounts (name, email, role) map to Salesforce User records. We resolve agents by email match against the destination Salesforce org's User table. Admin-role agents from Ticksy receive a custom role attribute in Salesforce; agents without a matching User go to a reconciliation queue for the customer's admin to provision before the ticket migration runs.

Ticksy

Label / Tag

maps to

Salesforce Service Cloud

Custom Picklist or Topic

lossy
Fully supported

Ticksy ticket labels and tags migrate to a Salesforce custom multi-select picklist field on Case called Tags__c. Tags exceeding Salesforce's 40-character picklist value limit are truncated with a note in the migration reconciliation report. If the customer prefers a taxonomy model, tags migrate to Salesforce Topics with TopicAssignment records linked to each Case.

Ticksy

Email Piping Configuration

maps to

Salesforce Service Cloud

Email-to-Case Configuration (documented)

1:1
Mapping required

Ticksy's email piping routing rules and inbound email addresses are configuration data, not ticket records. We extract and document the routing rules as a written migration artifact noting the inbound email addresses, any domain-based routing logic, and the default assignee or queue for unassigned inbound messages. We do not configure Salesforce Email-to-Case during migration; the customer's admin uses our documentation to configure Email-to-Case routing rules in Salesforce Setup post-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.

Ticksy logo

Ticksy gotchas

High

No documented public API for automated export

Medium

Public vs Private ticket visibility is a migration-critical flag

Low

Ticksy and ticksy.app are unrelated products

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

  • Ticksy has no documented public API

    Ticksy does not publish a public REST API or bulk export endpoint. All data extraction relies on building a structured export from the authenticated web session, then normalizing the scraped records into migration-ready CSV or JSON. This extraction method adds scoping time, must be validated during discovery for completeness, and may miss records in edge cases (filtered views, paginated results, JavaScript-rendered content). We disclose this limitation upfront and set expectations that export completeness is validated against Ticksy dashboard counts before transformation begins.

  • Public-versus-Private ticket visibility has no native Salesforce field

    Ticksy's Public/Private ticket flag is not a standard Salesforce Case field. If this flag is not explicitly carried over, community-facing public threads silently become private in Salesforce Communities or disappear from the customer portal entirely. We handle this by creating a custom checkbox field Is_Community_Visible__c on Case, setting it per the Ticksy visibility flag, and including visibility rule configuration as part of the Communities setup handoff. Failing to include this step means customer-facing knowledge gaps that may generate support volume post-migration.

  • Ticksy and ticksy.app share a brand name but are unrelated

    Searching for Ticksy returns two entirely different products: the helpdesk platform at ticksy.com and a Spanish hospitality POS system at ticksy.app. Discovery calls and scoping sessions routinely surface mixed results when customers reference their current tool. We confirm product identity during onboarding by requesting the product URL to ensure we are scoping the correct source system before any data extraction begins.

  • Custom fields are defined separately from ticket records in Ticksy

    Ticksy stores Custom Field definitions (field name, type, dropdown options) as schema metadata distinct from the ticket records that hold field values. Both the schema and the populated values must be extracted. Dropdown option lists are stored in a separate Ticksy table. We extract both, create the Salesforce Custom Fields and picklist value sets before ticket migration, and map option values to the Salesforce picklist. If the Ticksy dropdown options include values that exceed Salesforce's 40-character picklist value limit, we truncate and flag for admin review.

  • Workflows, routing rules, and email piping do not migrate as code

    Ticksy has minimal built-in automation, but Salesforce Service Cloud relies heavily on OmniFlow, Flow Builder, and Omni-Channel for case routing, escalation, and SLA entitlement management. We do not migrate these as code because Salesforce automation is org-specific and must be rebuilt in the destination org's Lightning Flow Builder or Omni-Channel supervisor tools. We deliver a written inventory of every Ticksy configuration setting (email routing addresses, default assignees, priority mappings, knowledge base categories) that the customer's Salesforce admin uses to configure Email-to-Case, Omni-Channel routing, and Entitlement Processes post-migration.

Migration approach

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

  1. Discovery and Ticksy export extraction

    We audit the Ticksy portal for ticket counts (open and closed), KB article volume, Custom Field definitions (including dropdown option lists), agent account list, and attachment count with file size distribution. Because Ticksy has no documented API, we build the extraction script from an authenticated session, validate record counts against the Ticksy admin dashboard, and normalize the output to a migration-ready schema. We confirm product identity (helpdesk vs the unrelated ticksy.app POS) and extract email piping routing rules as a written configuration artifact. The discovery output is a migration scope document, an extracted data manifest, and a flag for any records that cannot be extracted programmatically.

  2. Salesforce org audit and schema provisioning

    We audit the destination Salesforce org for existing Contact and Account records (to resolve ticket submitter lookups), existing Knowledge Articles and article types, and any custom fields already present on Case. If the org does not have Knowledge enabled, we flag this for the customer's admin to activate Salesforce Knowledge before KB migration. We create all required Salesforce Custom Fields on Case (matching Ticksy Custom Field names and types with __c suffix), picklist value sets for dropdown fields, and the Is_Community_Visible__c custom checkbox for the public visibility flag. All schema work deploys to a Salesforce Sandbox first for validation before production.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-representative record volume. The customer's Salesforce admin and support operations lead reconcile record counts (Cases in, KB Articles in, Custom Field values populated), spot-check 25-50 random Cases against the Ticksy source for data accuracy, and verify that the Is_Community_Visible__c flag is correctly set on public threads. Mapping corrections and data quality issues (missing email addresses, malformed timestamps) are resolved here before production migration begins.

  4. User provisioning and agent reconciliation

    We extract every distinct Ticksy agent referenced on Tickets and match by email against the Salesforce destination org's User table. Agents without a matching User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users and assigns them to the appropriate Salesforce Profiles and Roles. Migration cannot proceed past this step because Case.OwnerId references are required on every Case record.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Salesforce Users (manual, validated), Contacts (resolved by email from Ticksy ticket submitters, with new Contacts created where no match exists), KB Articles (into Salesforce Knowledge with Data Category assignments), Cases (with Is_Community_Visible__c set, OwnerId resolved, and ContactId looked up), CaseComments (with CreatedDate preserved from the original Ticksy timestamp), Attachments (as ContentVersion and ContentDocumentLink), and Tags (as multi-select picklist values or Topics). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and configuration handoff

    We freeze Ticksy for the migration window, run a delta migration of any Cases modified during the window, then enable Salesforce Service Cloud as the system of record. We deliver the email piping and routing configuration documentation to the customer's admin for Email-to-Case and Omni-Channel setup. We deliver the Custom Field mapping sheet for admin reference. We support a three-day hypercare window to resolve reconciliation issues. We do not configure OmniFlow, Omni-Channel routing, or Entitlement Processes as these are Salesforce platform configuration work outside standard migration scope.

Platform deep dives

Context on both ends of the pair

Ticksy logo

Ticksy

Source

Strengths

  • Starting price of $15/month keeps it accessible for solo operators and micro-businesses.
  • Public ticket portal enables community self-service and reduces repeat inbound queries.
  • Integrated knowledge base avoids the need to pay for a separate documentation tool.
  • Clean, minimal interface that agents find intuitive without training.
  • Direct appeal to Envato ecosystem gives it a built-in customer acquisition channel.

Weaknesses

  • No native mobile app for iOS or Android, limiting agent mobility.
  • No publicly documented API means programmatic migration relies on screen scraping or ad-hoc exports.
  • Very limited market visibility and low review volume make independent validation difficult.
  • Feature set is intentionally minimal — lacks SLA management, advanced routing, or workload dashboards.
  • Ticksy.app (hospitality POS) shares the brand name and causes search/marketing confusion.
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 Ticksy 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

    Ticksy: Not publicly documented. Limits are not stated in the published API getting-started guide; we pace requests conservatively during migration extraction..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Ticksy 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 Ticksy to Salesforce Service Cloud data migrations

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

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Most Ticksy migrations land between three and five weeks for accounts with fewer than 10,000 tickets, a flat KB article library, and no custom objects requiring net-new schema. Migrations into an established Salesforce org with existing Contact and Account data requiring deduplication, or with large attachment volumes (over 5 GB of files), move to six to ten weeks because of Salesforce Bulk API batch time and Contact resolution complexity.

Adjacent paths

Related migrations to explore

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