Helpdesk migration
Field-level mapping, validation, and rollback between Simplify Reality and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Simplify Reality
Source
Freshdesk
Destination
Compatibility
5 of 8
objects map 1:1 between Simplify Reality and Freshdesk.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Simplify Reality ceased operations in 2025, leaving customers with no API access, no documented data model, and no path to programmatic export. Migrating to Freshdesk requires the customer to manually retrieve whatever data remains accessible in the live Simplify Reality interface before account expiration, after which data is unrecoverable. We receive that manually-exported data, normalize it against a schema we build from a sample record inspection, and load Customers, Conversations, and channel history into Freshdesk as Contacts, Tickets, and Source records. We do not migrate automations, AI reply rules, or analytics configurations from Simplify Reality because no schema was documented for these features. Freshdesk plan selection (Sprout through Forest), channel setup, and agent provisioning happen as part of the migration scope.
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 Simplify Reality 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.
Simplify Reality
Customer
Freshdesk
Contact
1:1Simplify Reality Customer records map to Freshdesk Contact. We extract contact name, email address, phone number, and channel source from the manual export. The primary email address becomes the Contact email field; phone becomes phone; name maps to both first_name and last_name split on first space. If the customer used channel-specific identifiers (WhatsApp number, Twitter handle), we preserve these in Freshdesk custom fields rather than standard contact fields. Any contact without an email address is flagged for manual review because Freshdesk requires a valid email for contact creation.
Simplify Reality
Conversation
Freshdesk
Ticket
1:manyEach Simplify Reality conversation thread maps to one Freshdesk Ticket. The ticket Subject comes from the first message or channel thread title. All subsequent messages in the thread map to Ticket Conversations in Freshdesk, preserving sender, timestamp, and message body. We split multi-channel conversations (an email thread that later moved to WhatsApp) into separate Freshdesk tickets by channel source and link them with a custom field conversation_thread_id for traceability. If timestamps are missing from the export, we flag the records and set ticket created_at to the export date for review.
Simplify Reality
Channel Source
Freshdesk
Ticket Source
lossySimplify Reality's channel aggregation (Email, SMS, WhatsApp, Facebook Messenger, Twitter) maps to Freshdesk ticket.source field values. We create a channel mapping table during scoping: Simplify Reality email becomes Freshdesk Email; SMS becomes Phone; WhatsApp becomes Email (using WhatsApp email gateway) or a custom field whatsapp_id; Facebook Messenger and Twitter become the corresponding Freshdesk social channel apps. If a channel is not represented in the Freshdesk plan (social apps require Garden tier or above), we map to Email with a custom field original_channel__c set to preserve the source for reporting.
Simplify Reality
Agent
Freshdesk
Agent
1:1Simplify Reality agent records map to Freshdesk Agent accounts. We extract agent name and email from the manual export where available. Each agent receives a Freshdesk agent account at the appropriate permission level (Agent or Admin). If no agent export is available, we create Freshdesk agents from the ticket assignment data in the conversation export, deduplicating by email. Agents without email are created with a placeholder and flagged for the customer to provision with real credentials before go-live.
Simplify Reality
Company
Freshdesk
Organization
1:1Simplify Reality Company records (from HubSpot CRM integration if used) map to Freshdesk Organization. We extract company name, domain, and any associated contact links from the manual export. If no Company data is present in the export, we derive Organizations from Contact company associations in the conversation history and create Organization records on import. Freshdesk's company column import feature can bulk-load organizations from CSV during migration.
Simplify Reality
Canned Response / Template
Freshdesk
Canned Responses
1:1Simplify Reality's AI reply recommendations and automated response templates are not documented in any schema we could locate during research. If the customer can provide a manual export of these templates from the live interface, we import them as Freshdesk Canned Responses under Admin > Support Operations. Without a documented export, we deliver a template inventory form for the customer to document their current responses for manual rebuild in Freshdesk.
Simplify Reality
Integration Configuration
Freshdesk
Freshdesk App Setup
lossyCrunchbase indicates Simplify Reality's tech stack included HubSpot and MailChimp integrations. We document these integrations during discovery and recommend equivalent Freshdesk apps from the Freshworks Marketplace or AppExchange. HubSpot integration is available via Freshdesk's native CRM integration on Garden tier; MailChimp integration is available via Zapier or native Freshdesk connector. We do not migrate API credentials or active webhook configurations because Simplify Reality's integration schema is undocumented.
Simplify Reality
Custom Field
Freshdesk
Custom Field
1:1Any custom fields present in the Simplify Reality export (beyond standard name, email, phone, channel) map to Freshdesk Contact custom fields under Admin > Support Operations > Customer Fields. Freshdesk supports string, number, boolean, dropdown, date, and checkbox custom fields. We create the corresponding Freshdesk custom fields before importing contact records and map values during the CSV load. Custom fields on Tickets require a separate step and are added under Ticket Fields in the admin panel.
| Simplify Reality | Freshdesk | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Conversation | Ticket1:many | Fully supported | |
| Channel Source | Ticket Sourcelossy | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Canned Response / Template | Canned Responses1:1 | Fully supported | |
| Integration Configuration | Freshdesk App Setuplossy | Fully supported | |
| Custom Field | Custom Field1:1 | 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.
Simplify Reality gotchas
Platform closure leaves data stranded
No public API means no programmatic export
Domain discrepancy may indicate a different product
Minimal data model documentation limits migration accuracy
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
Account status confirmation and data retrieval
We open a scoping call to confirm the Simplify Reality account is still active and accessible. The customer performs manual data retrieval from the live interface: CSV export of contacts, companies, and tickets where available; thread history export for conversations; agent list if visible in the interface. We provide a structured export checklist during this step. If the account is already closed, we attempt to identify any backup files the customer may have locally. We cannot proceed without accessible source data.
Sample export inspection and schema design
The customer provides a sample export (minimum 20 records per object type) for our engineering team to inspect. We identify column headers, data types, date formats, and any embedded metadata (channel source, agent assignment, message threading). From this inspection, we design the Freshdesk field schema: standard Contact fields, Organization fields, Ticket fields, and any required custom fields. We build the field mapper before committing to a migration timeline. If the sample export reveals missing data (no timestamps, no agent assignment), we escalate to the customer for clarification before proceeding.
Freshdesk plan and channel setup
We provision or configure the Freshdesk account in parallel with migration design. This includes selecting the appropriate Freshdesk plan based on channel requirements (Sprout for email-only, Garden for social channels, Forest for Custom Objects), installing required channel apps (WhatsApp, Facebook, Twitter if the plan supports them), configuring agent accounts and permission levels, and setting up ticket fields, statuses, and priorities. If the customer already has a Freshdesk account, we configure a temporary Freshdesk instance for migration validation before cutover.
Migration validation in Freshdesk sandbox
We run a full migration into a Freshdesk test account using the sample export data. The customer reviews the migrated Contacts, Organizations, and Tickets against the original Simplify Reality records, identifies any mapping errors or missing data, and signs off on the schema before production migration. Corrections to field mappers, date format handlers, and channel routing happen at this stage. If the customer does not have an existing Freshdesk account, we use a temporary trial account for validation.
Production migration and cutover
We run the production migration with the validated field mappers. Contacts and Organizations load first via Freshdesk's CSV import (up to 10,000 rows per import). Tickets load next via API or CSV depending on volume. Conversation history is appended to Tickets after ticket records are created. We run a row-count reconciliation after each phase: Contacts in, Organizations in, Tickets in, Conversations linked. The customer validates a random sample of migrated records. We freeze Simplify Reality writes and run a final delta import for any records modified during migration before cutover.
Post-migration handoff and automation rebuild guide
We deliver a migration summary report with record counts, skipped records (with reasons), and any data quality flags for the customer to address. We do not migrate Simplify Reality automations or AI reply rules because no schema was documented for these features. We deliver a written Freshdesk Automation setup guide documenting how to rebuild the equivalent automations (ticket routing, auto-assignment, SLA escalation) using Freshdesk's automation rules engine. We do not rebuild automations as part of the migration scope; that work is handled by the customer's admin or a Freshdesk implementation partner.
Platform deep dives
Simplify Reality
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 2 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Simplify Reality and Freshdesk.
Object compatibility
2 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
Simplify Reality: Not publicly documented.
Data volume sensitivity
Simplify Reality 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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