Helpdesk migration

Migrate from Ticksy to Freshdesk

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

Ticksy logo

Ticksy

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

80%

8 of 10

objects map 1:1 between Ticksy and Freshdesk.

Complexity

BStandard

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Ticksy to Freshdesk is a migration from a deliberately minimal, API-less helpdesk into a full omnichannel support platform with a documented REST API and per-minute rate limits. Ticksy has no public API, so we build a structured export from the web interface, normalise records into a migration-ready format, and load into Freshdesk via the v2 API with rate-limit handling and batch chunking. The public-versus-private ticket flag is not a standard Freshdesk field, so we carry it as a custom ticket attribute so community threads land correctly in the destination. Knowledge base articles migrate to Freshdesk Solutions. Custom field definitions (text, multiline, dropdown) and their values are mapped field-by-field because Ticksy stores field schema separately from ticket records. We do not migrate Ticksy's email piping routing rules as code; we extract the configuration and deliver it as a written document for the customer's admin to reconfigure in Freshdesk.

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

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Ticksy objects map to Freshdesk

Each row shows how a Ticksy 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.

Ticksy

Ticket (Private)

maps to

Freshdesk

Conversation (Ticket)

1:1
Fully supported

Ticksy Private Tickets map to Freshdesk Conversation records with the display_id preserved, status mapped (open/pending/resolved/closed to Freshdesk status equivalents), priority mapped, and assignee resolved by email against Freshdesk Agents. The private-agent-customer thread is preserved as a chronological conversation notes chain. Ticksy does not have a status hierarchy, so we map each Ticksy status value individually during scoping.

Ticksy

Ticket (Public)

maps to

Freshdesk

Conversation (Ticket)

1:1
Fully supported

Ticksy Public Tickets carry a visibility flag indicating community-visible threads. Freshdesk has no native public-community concept, so we create a custom ticket field (ticksy_visibility__c) set to 'public' and tag the ticket with a 'community-thread' label so teams can distinguish community support from standard private tickets. Failing to carry this flag silently converts public threads to private in the new system.

Ticksy

Knowledge Base Article

maps to

Freshdesk

Solution (Article)

1:1
Fully supported

Ticksy KB articles (title, body, category, publish state) map to Freshdesk Solutions with the article title as name, HTML body mapped to the description field, section resolved by matching Ticksy category to a Freshdesk Solution section (created during schema setup), and publish state preserved. Articles with draft status in Ticksy land as draft in Freshdesk Solutions and are flagged for the customer's admin to review before publishing.

Ticksy

Custom Field Definition (dropdown)

maps to

Freshdesk

Custom Field

lossy
Fully supported

Ticksy stores dropdown option lists separately from ticket records. We extract both the field definition (name, type, required flag) and the options list, create the corresponding Freshdesk custom field via the API, then map the values on each ticket during import. Text and multiline fields map to Freshdesk text or paragraph custom fields without an options list. Dropdown options that exceed Freshdesk's 150-character limit are truncated with a warning to the customer.

Ticksy

Custom Field Value

maps to

Freshdesk

Custom Field Value

1:1
Fully supported

Custom field values are extracted from Ticksy ticket records and written to the corresponding Freshdesk custom field on the Conversation. We resolve the custom field ID in Freshdesk first before writing values so that no orphan field references are created. Tickets with empty custom field values are written without the field present (Freshdesk does not require custom fields to be set on every record).

Ticksy

User / Agent

maps to

Freshdesk

Agent

1:1
Fully supported

Ticksy support agent accounts (name, email, role) map to Freshdesk Agent records. Role (admin vs agent) is preserved as a custom attribute (ticksy_original_role__c) where the destination does not have a direct equivalent. Agents are provisioned in Freshdesk before ticket migration so that assignee lookups resolve at import time rather than landing as null.

Ticksy

Customer (ticket requester)

maps to

Freshdesk

Contact

1:1
Fully supported

Ticksy customers who submitted tickets are extracted as Contact records in Freshdesk. Email address is the dedupe key. We deduplicate by email so that a customer who submitted multiple tickets appears as one Freshdesk Contact. Name, company (if present), and the ticksy_visibility__c flag from their most recent ticket are written to the Contact record.

Ticksy

Category / Label

maps to

Freshdesk

Tag

lossy
Fully supported

Ticksy KB categories and ticket labels are simple string identifiers. We normalise these to Freshdesk Tags by lowercasing, stripping special characters, and truncating to Freshdesk's 50-character tag limit. Tags that exceed the limit are truncated with a flag. Tags used across both KB and tickets are shared in Freshdesk's tag namespace.

Ticksy

Attachment

maps to

Freshdesk

Attachment

1:1
Fully supported

File attachments stored with Ticksy ticket records are extracted as standalone binary assets. We re-attach them to the destination Freshdesk Conversation record via the Freshdesk Attachments API endpoint. Attachments larger than 20 MB are flagged for the customer to evaluate whether to migrate via cloud storage link rather than direct upload. Unusual file types (executable, script) are flagged for security review before attachment.

Ticksy

Reply Thread (Comments)

maps to

Freshdesk

Conversation Notes

1:1
Fully supported

Each Ticksy ticket reply thread (agent and customer messages in chronological order) is mapped to Freshdesk Conversation notes on the corresponding ticket. Author email resolves to the Freshdesk Agent or Contact by email match. Timestamps are preserved as the note creation date. HTML formatting from Ticksy is normalised to plain text or preserved depending on the note content type the customer specifies during scoping.

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

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Ticksy has no public API — export relies on structured web scraping

    Ticksy does not publish a REST API or bulk export endpoint. We build a structured export from the authenticated web interface, parse ticket records, KB articles, user accounts, and custom field values into a normalised migration format. This step adds scoping time and must be disclosed during discovery so expectations are set around export completeness. Records not rendered in the web interface (soft-deleted, archived beyond pagination) may not appear in the export and are flagged in the reconciliation report.

  • Public ticket visibility flag has no native Freshdesk equivalent

    Ticksy distinguishes Public tickets (community-visible) from Private tickets. Freshdesk has no native public-community ticket concept. We carry the visibility flag as a custom ticket attribute (ticksy_visibility__c) and a 'community-thread' tag so teams can identify community threads in the new system. If this custom field is not configured before migration begins, all tickets land as standard private tickets and community threads lose their visibility context.

  • Freshdesk per-minute API rate limits constrain import speed

    Freshdesk applies per-minute rate limits based on plan: Growth at 200 calls/min, Pro at 400, Enterprise at 700, with per-endpoint sub-limits (Ticket Create capped at 80-280 per minute depending on tier). We use batch chunking and exponential backoff to stay within these limits. Migrations with high ticket volumes (over 10,000) will take longer on Growth plans; upgrading to Pro or Enterprise before migration meaningfully reduces transfer time.

  • Dropdowns with option lists require schema-first field creation

    Ticksy stores dropdown field definitions and their option lists separately from ticket records. We must create each dropdown field in Freshdesk (with its option list) before importing any ticket records that reference those fields. Tickets with dropdown field values and no corresponding Freshdesk field definition are held in a staging queue and processed after field creation. Missing field definitions are the most common source of migration errors in Ticksy-to-Freshdesk projects.

Migration approach

Six steps for a successful Ticksy to Freshdesk data migration

  1. Structured export build and discovery

    We authenticate against the Ticksy web interface and build a structured export script that extracts all ticket records (with status, priority, assignee, timestamps, and custom field values), KB articles (with category, body, and publish state), user accounts (agents and customers), and attachment metadata. During discovery we confirm the total record counts, custom field schemas, and whether any Ticksy data exceeds Freshdesk field length limits. We also identify any Ticksy-specific features (email piping addresses, routing rules) that require manual reconfiguration in Freshdesk.

  2. Freshdesk schema pre-configuration

    Before any data loads, we create the destination schema in Freshdesk: custom fields matching Ticksy field names and types (text, multiline, dropdown with option lists), tags for any Ticksy labels or categories, Solution sections matching Ticksy KB categories, and the ticksy_visibility__c custom field for public ticket tracking. We configure Freshdesk agents and groups in advance so that assignee and group lookups resolve at import time. Schema is validated in a Freshdesk test account before production migration begins.

  3. Export, normalise, and validate

    We run the structured export against the live Ticksy account, parse records into normalised JSON, and validate field completeness. Each ticket record is checked for required Freshdesk fields (subject, status, requester email), custom field values are validated against the dropdown option lists, and any records with missing required data are flagged to the customer before import begins. Attachments are downloaded and staged by ticket ID.

  4. Migration dry run and reconciliation

    We run a first-pass import into a Freshdesk sandbox or the production account with data volume representative of the full migration. We reconcile record counts (tickets in, contacts in, articles in), spot-check 20-30 records for field-level accuracy, and confirm that assignee resolution, custom field population, and attachment re-attachment are working correctly. Any mapping corrections are applied before the full migration run.

  5. Full production migration

    We run the production migration in dependency order: Contacts (customer dedupe by email), Agents (provisioned in advance), Solution sections and articles (KB first), then Conversations (tickets with resolved assignees, group assignments, and public-visibility flags). Attachments are uploaded via the Freshdesk Attachments API after ticket creation to avoid parent-record dependency issues. Custom field values are written in the same batch as ticket records to satisfy the field definition dependency.

  6. Email piping handoff and final reconciliation

    We deliver a written email piping configuration document covering the inbound email addresses, routing rules, and product-inbox mappings from the Ticksy source. The customer's admin uses this document to reconfigure email piping in Freshdesk (Freshdesk supports multiple product mailboxes and routing rules in Settings). We run a final row-count reconciliation report, validate that timestamps are preserved on historical tickets, and confirm that the public ticket flag is populated on all community threads.

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.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 2 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Ticksy and Freshdesk.

  • Object compatibility

    B

    2 of 7 objects need a mapping; the rest are 1:1.

  • 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 Freshdesk 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 Freshdesk data migrations

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

Can't find your answer?

Walk through your Ticksy to Freshdesk migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Ticksy to Freshdesk migrations complete in one to two weeks for accounts under 5,000 tickets, 1,000 KB articles, and 50 agents. Migrations with higher volumes (10,000-50,000 records), multiple custom field dropdowns with large option lists, or existing Freshdesk data requiring deduplication extend to three to five weeks. The structured export build for Ticksy (which has no API) adds one to three days to scoping compared to platforms with documented APIs.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Ticksy.
Land in Freshdesk, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day