CRM migration
Field-level mapping, validation, and rollback between Zuper and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Zuper
Source
Freshsales
Destination
Compatibility
10 of 12
objects map 1:1 between Zuper and Freshsales.
Complexity
BStandard
Timeline
48–72 hours
Overview
Zuper is a field service management platform built around Jobs, Customers, Organizations, Assets, and custom Properties — its data model centers on work orders, scheduling, and dispatching. Freshsales is a sales CRM organized around Leads, Contacts, Accounts, Deals, and custom modules, with a separate object model for sales activities and pipeline stages. These platforms serve different operational roles, so the migration requires deliberate decisions about what field-service data becomes in a CRM context. FlitStack AI maps Zuper Customers to Freshsales Contacts, Zuper Organizations to Freshsales Accounts, and Zuper Jobs to Freshsales Deals with custom fields for job-specific attributes. Scheduling data, timesheets, and asset records that have no direct CRM equivalent are surfaced as custom modules or custom fields for manual post-migration review. We use Zuper's REST API for structured data extraction and Freshsales' CRM API for import, respecting Freshsales' per-hour rate limits that vary by plan (1,000/hour on Growth, 2,000 on Pro, 5,000 on Enterprise). Workflows, guided workflows, and automation rules in Zuper do not migrate — their definitions are exported as a reference document for rebuilding in Freshsales.
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 Zuper object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Zuper
Customer
Freshsales
Contact
1:1Zuper Customers map directly to Freshsales Contacts. Email, phone, address, and job title fields carry over with field-level mapping. If a Zuper Customer has no email address, Freshsales requires a unique identifier — we flag records missing email before migration and create a fallback handling plan.
Zuper
Customer
Freshsales
Lead
1:manyZuper Customers with no associated Deals can route to Freshsales Leads, preserving lead status and source attribution. Customers with at least one completed or open Job route to Contact to preserve the account relationship in Freshsales. Your team decides the routing rule before migration runs.
Zuper
Organization
Freshsales
Account
1:1Zuper Organizations map 1:1 to Freshsales Accounts. Organization name becomes Account Name, domain maps to Website, industry maps via value mapping against Freshsales' default industry pick-list. Parent-child organization hierarchies in Zuper map to Freshsales' Parent Account field if both parent and child exist in the migration scope.
Zuper
Job
Freshsales
Deal
1:1Zuper Jobs are the most complex object to migrate. Each Job maps to a Freshsales Deal with job-specific attributes (priority, category, status, technician assignment) stored in custom fields on the Deal. Job pipeline and stage in Zuper map to Freshsales Deal Stages — we generate a stage-value map during planning so pipeline visibility is preserved.
Zuper
Job
Freshsales
Task
many:1Job-level activity logs including status notes, technician updates, and internal comments merge into Freshsales Tasks attached to the corresponding Deal. Original timestamps from each activity log entry are preserved in custom datetime fields on the Task record. This approach keeps the complete activity history accessible in Freshsales without creating duplicate Deal records, maintaining referential integrity across the migration.
Zuper
Asset
Freshsales
Account / Custom Object
1:1Zuper Assets linked to an Organization map to the corresponding Freshsales Account with asset details in custom fields (asset name, serial number, installed date). Standalone Assets without a parent Organization require a custom Asset module in Freshsales — we create this as part of the migration plan for accounts that need it.
Zuper
Property
Freshsales
Custom Field (Deal, Contact, Account)
1:1Zuper Properties are custom fields on Jobs, Customers, Organizations, and Assets. Each Property maps to a Freshsales custom field on the appropriate object. Property data type (text, number, date, pick-list) determines Freshsales field type. Pick-list values in Zuper require Freshsales custom pick-list setup per field.
Zuper
Product / Part / Service
Freshsales
Product
1:1Zuper Products, Parts, and Services map directly to Freshsales Products. Product name, SKU, unit price, and description transfer field-by-field. Products linked to Jobs in Zuper map as Deal Line Items in Freshsales using Freshsales' native Product lookup feature to maintain the product-to-deal relationship after migration.
Zuper
User (Technician / Staff)
Freshsales
User / Agent
1:1Zuper Users and Technicians map to Freshsales Users by email match. Owner assignment on Jobs becomes Owner assignment on the corresponding Freshsales Deal. Unmatched Zuper users are flagged before migration — teams either create Freshsales accounts for them or reassign records to a fallback owner.
Zuper
Team
Freshsales
Sales Team / Custom Field
1:1Zuper Teams have no native Freshsales equivalent. Team membership maps to a custom field on the Deal (e.g., Team_Assigned__c) storing the team name as a pick-list value. If granular team-to-user routing is needed, a custom Team object with a junction to Users can be built post-migration.
Zuper
Timesheet
Freshsales
Custom Module (Timesheet)
1:1Zuper Timesheets have no Freshsales equivalent. We create a custom module called Timesheet in Freshsales linked to the User (owner) and optionally to the related Deal. Timesheet entries include hours worked, date, and timeoff type. This preserves historical labor data without forcing it into CRM fields not designed for it.
Zuper
Job Category
Freshsales
Custom Field (Deal) / Pick-list
1:1Zuper Job Categories (Plumbing, HVAC, Electrical, etc.) map to a custom pick-list field on the Freshsales Deal object (Job_Category__c). Each unique category value is created as a pick-list option. This preserves the service-type dimension for reporting without conflating it with Freshsales' deal stage model.
| Zuper | Freshsales | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Customer | Lead1:many | Fully supported | |
| Organization | Account1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Job | Taskmany:1 | Fully supported | |
| Asset | Account / Custom Object1:1 | Fully supported | |
| Property | Custom Field (Deal, Contact, Account)1:1 | Fully supported | |
| Product / Part / Service | Product1:1 | Fully supported | |
| User (Technician / Staff) | User / Agent1:1 | Fully supported | |
| Team | Sales Team / Custom Field1:1 | Fully supported | |
| Timesheet | Custom Module (Timesheet)1:1 | Fully supported | |
| Job Category | Custom Field (Deal) / Pick-list1:1 | 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.
Zuper gotchas
No bulk API endpoint means large migrations are sequential
Quote object schema is shallower than Job schema
Workflow Builder automations have no export capability
Multi-custom-field filter on Properties API returns no records when multiple filters applied
Mobile app instability causes incomplete Job records in production data
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Audit Zuper data model and plan Freshsales schema
FlitStack AI extracts a full inventory of Zuper objects — Customers, Organizations, Jobs, Assets, Products, Properties, and Timesheets — via the Zuper REST API. We generate a schema map showing every custom property and its data type. Simultaneously, we audit the target Freshsales account's current schema (existing custom fields, pick-list values, modules) to identify gaps. This produces a Freshsales setup checklist: custom fields to create per object, a custom Timesheet module if needed, pick-list values for Job Category and Job Priority, and any Freshsales plan upgrades required for custom field limits.
Map Zuper users to Freshsales users by email
Zuper Users and Technicians are matched to Freshsales Users by email address. Any Zuper user without a corresponding Freshsales account is flagged before migration — your team either creates Freshsales accounts for those users or reassigns their records to a designated fallback owner. No Deal or Contact lands in Freshsales without a resolved OwnerId. This step also maps Zuper Teams to Freshsales custom pick-list values on Deals since Freshsales has no native team concept.
Extract and sequence Zuper data respecting foreign-key dependencies
Freshsales requires Accounts to exist before Contacts (via AccountId lookup) and Contacts before Deals (for Deal Contact Roles). We sequence the extraction from Zuper so that Organizations export first, then Customers linked to those organizations, then Jobs linked to Customers, then Products, then Timesheets. Zuper's 25,000-row CSV limit for self-serve exports means accounts exceeding this threshold require API-based pagination — we handle this with cursor-based pagination to avoid duplicate records. All Zuper Property (custom field) values are extracted alongside their parent records.
Run a sample migration with field-level diff on 50–100 records
A representative sample of Zuper records — spanning at least one Customer, one Organization, one Job with custom properties, and one Asset — is migrated to Freshsales first. We generate a field-level diff report showing every source field value and its destination counterpart, flagging any truncated values (from Freshsales field length limits), dropped pick-list values (unmapped options), and unresolved owner references. Your team reviews the diff and approves the mapping plan before the full migration runs.
Execute full migration with delta-pickup window and audit log
The full migration runs against the target Freshsales account, respecting the plan-specific API rate limit (Growth: 1,000/hr, Pro: 2,000/hr, Enterprise: 5,000/hr) via adaptive throttling. A delta-pickup window opens immediately after the initial run — any Zuper records created or modified during the migration window are captured in a second pass to bring Freshsales to full parity. FlitStack AI maintains a complete audit log of every record created, updated, or skipped. If reconciliation reveals discrepancies exceeding the agreed tolerance, one-click rollback reverts the Freshsales account to its pre-migration state.
Deliver reference export for workflow rebuild
FlitStack AI exports Zuper workflow definitions — trigger conditions, node configurations, and action sequences — as a structured JSON document organized by workflow name. This document serves as a rebuild reference for your Freshsales admin to reconstruct equivalent automations using Freshsales' workflow builder. Scheduling-specific workflows (technician dispatch, slot-based booking) that have no Freshsales equivalent are flagged with a note recommending a dedicated field service scheduling tool.
Platform deep dives
Zuper
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Zuper and Freshsales.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Zuper: Not publicly documented in current developer documentation.
Data volume sensitivity
Zuper 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.
Category
FAQ
Answers to the questions buyers ask most during Zuper to Freshsales migration scoping. Not seeing yours? Book a call.
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