CRM migration
Field-level mapping, validation, and rollback between FRONTU and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
FRONTU
Source
HighLevel
Destination
Compatibility
12 of 12
objects map 1:1 between FRONTU and HighLevel.
Complexity
BStandard
Timeline
5–10 business days
Overview
Frontu organizes field-service data around Jobs, Tasks, and Technicians — every record is a work order with a customer, a location, and an assigned technician. HighLevel is a contact-first CRM where the primary object is the Contact (or Company), and service-activity data attaches as Opportunities, custom fields, or Tasks. The migration therefore requires a structural redesign: every Frontu work order becomes a HighLevel Opportunity linked to the customer Contact, with technician assignments resolved by email to HighLevel Users and job statuses preserved as custom Opportunity fields. FlitStack AI extracts Frontu data via its available API endpoints, handling Customers, Companies, Technicians, Work Orders, Tasks, Locations, and Attachments. Where Frontu stores unstructured notes or multiple location fields per job, we normalize those into HighLevel custom fields (e.g., GPS_Latitude__c, GPS_Longitude__c, Frontu_Job_Notes__c). Workflows, route assignments, and scheduling automations do not migrate — they must be rebuilt in HighLevel's Workflow Builder. We deliver a sample migration first with a field-level diff, then run the full load with a 24–48-hour delta-pickup window capturing in-flight Frontu changes at cutover.
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 FRONTU object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
FRONTU
Customer
HighLevel
Contact
1:1Frontu Customer maps directly to HighLevel Contact. The customer's name splits into First Name and Last Name on the HighLevel Contact. Email, phone, and address fields map one-to-one. Notes and tags from Frontu become HighLevel Contact tags. Original customer ID preserved as Source_System_ID__c for traceability and delta-run de-duplication.
FRONTU
Company
HighLevel
Company
1:1Frontu Company maps to HighLevel Company. Company name, domain/website, industry, employee count, and annual revenue translate directly. Frontu's parent-company hierarchy (if used) maps to HighLevel's Parent Company field. HighLevel Company is optional — if Frontu customers are individuals without a company association, the contact lands standalone in HighLevel.
FRONTU
Work Order
HighLevel
Opportunity
1:1Frontu Work Order is the primary non-direct mapping. Each work order becomes a HighLevel Opportunity linked to the customer Contact. The Opportunity Name derives from the work order title or number. Work order amount (if a billed service) maps to Opportunity Value. Pipeline and stage in HighLevel are configured to reflect Frontu's job-status progression: Pending maps to an early stage, In Progress to a mid-stage, Completed to Closed Won, and Cancelled to Closed Lost.
FRONTU
Job Status
HighLevel
Opportunity Stage
1:1Frontu job status values (Pending, In Progress, Completed, Cancelled) map to HighLevel Opportunity Stage values. We configure the HighLevel pipeline so stage names match Frontu's status labels. Probability and forecast-category values are set per stage based on standard HighLevel conventions — these are destination-side schema values your team reviews before migration runs.
FRONTU
Task (per technician)
HighLevel
Task
1:1Frontu Tasks attached to a work order map to HighLevel Tasks on the associated Contact or Opportunity. Task subject, description, assigned user (by email lookup), due date, and status all translate directly. Completed task history is preserved with original completion timestamps. HighLevel Tasks support the same owner-resolution logic as other objects.
FRONTU
Technician
HighLevel
User (Owner)
1:1Frontu Technician records resolve to HighLevel Users by email match. We query HighLevel's user list by email address — if a matching user exists, the technician's tasks and work orders are assigned to that user as OwnerId. If no match is found, records are flagged for your team to either invite the technician to HighLevel or assign to a fallback owner before migration.
FRONTU
Location
HighLevel
Custom Fields on Contact/Opportunity
1:1Frontu Location (street address, city, GPS latitude and longitude, Google Maps URL) has no native equivalent in HighLevel. We create custom fields on the relevant Opportunity: Address__c for the formatted address, GPS_Latitude__c and GPS_Longitude__c for coordinates, and Google_Maps_URL__c for the link. If Frontu stores location as unstructured notes, we parse and normalize it into these fields.
FRONTU
Service Type / Category
HighLevel
Custom Picklist Field
1:1Frontu service-type classification (e.g., Repair, Installation, Maintenance, Inspection) maps to a custom picklist field on the HighLevel Opportunity: Service_Type__c. Pick-list values are created to match Frontu's taxonomy exactly. This field is used in HighLevel reporting and can trigger Workflows once your team rebuilds automations.
FRONTU
Attachment (Photo, Signature, Document)
HighLevel
File
1:1Frontu work-order attachments (photos taken by technicians, customer signatures, documents) re-upload to HighLevel Files attached to the relevant Opportunity or Contact record. File size limits per HighLevel's storage apply. Inline images embedded in Frontu notes are extracted and re-uploaded as separate files. Original attachment filenames are preserved for reference.
FRONTU
Route
HighLevel
Tag / Custom Field
1:1Frontu Route (a collection of scheduled jobs assigned to a technician for a given day) has no direct HighLevel equivalent. We preserve the route identifier as a custom Opportunity field (Route_ID__c) and add a Route_Date__c custom date field so your team can reconstruct route groupings manually in HighLevel's pipeline view. Full route-optimization logic must be rebuilt in HighLevel's Workflow Builder or calendar tools.
FRONTU
Custom Fields (Frontu)
HighLevel
Custom Fields (HighLevel)
1:1Frontu custom fields on any object map to HighLevel custom fields of the equivalent type (text, number, date, picklist, checkbox). We create HighLevel custom fields before migration runs, matching data types and pick-list values. Frontu's custom-field schema is reviewed during the pre-migration audit to identify any fields that require transformation (e.g., multi-select values stored as delimited strings).
FRONTU
Workflow / Automation (Frontu)
HighLevel
Workflow (HighLevel)
1:1Frontu routing rules, dispatch automations, and task-triggered notifications do not migrate — they are a configuration artifact of Frontu's scheduler, not data. We export the configuration as a reference document your HighLevel admin can use to rebuild equivalent automations in HighLevel's Workflow Builder. Scheduling and routing logic is rebuilt from scratch.
| FRONTU | HighLevel | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Work Order | Opportunity1:1 | Fully supported | |
| Job Status | Opportunity Stage1:1 | Fully supported | |
| Task (per technician) | Task1:1 | Fully supported | |
| Technician | User (Owner)1:1 | Fully supported | |
| Location | Custom Fields on Contact/Opportunity1:1 | Fully supported | |
| Service Type / Category | Custom Picklist Field1:1 | Fully supported | |
| Attachment (Photo, Signature, Document) | File1:1 | Fully supported | |
| Route | Tag / Custom Field1:1 | Fully supported | |
| Custom Fields (Frontu) | Custom Fields (HighLevel)1:1 | Fully supported | |
| Workflow / Automation (Frontu) | Workflow (HighLevel)1:1 | 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.
FRONTU gotchas
No publicly documented public API for bulk data export
Custom fields are per-organization with no standard schema
Tasker legacy data from pre-2021 may use different object names
Billing and invoicing data may exist outside Frontu
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Pre-migration audit and Frontu API discovery
FlitStack AI connects to Frontu's API and enumerates all available objects, fields, and custom field definitions. We pull record counts per object (Customers, Work Orders, Tasks, Locations, Technicians, Attachments) and identify any fields inaccessible via API that require manual CSV exports. The audit also reviews API rate limits and checks data freshness to ensure we capture the most recent records. You receive an inventory list confirming what migrates automatically and what requires a manual export template from Frontu, along with a preliminary field-mapping draft for review.
Design HighLevel schema — custom fields, pipelines, and stage mapping
Before data moves, we create all required custom fields in HighLevel: Job_Status__c, Service_Type__c, GPS_Latitude__c, GPS_Longitude__c, Google_Maps_URL__c, Route_ID__c, Route_Date__c, Source_System_ID__c, and any other fields identified in the audit. We configure picklist values for each field, set default values where appropriate, and map Frontu's job-status labels to pipeline stages with corresponding probability percentages for reporting continuity. Your HighLevel admin reviews and approves the schema plan before we proceed, and any adjustments are incorporated into the final field configuration.
Resolve technicians by email — build owner mapping for HighLevel Users
We query HighLevel's user list and match Frontu technician records by email address. The resulting owner-mapping table shows every Frontu technician, their HighLevel user match (or absence), and the assigned fallback owner where no match exists. Your team reviews unmatched technicians and either invites them to HighLevel or confirms a fallback assignment. No Opportunity or Task migrates without a confirmed HighLevel owner.
Run sample migration with field-level diff
A representative slice of records (typically 50–200 per object) migrates first. We generate a field-level diff that shows the original Frontu value side-by-side with the mapped HighLevel field for each record, highlighting any mismatches, missing data, or unexpected formatting. The diff verifies Job_Status__c mapping, GPS coordinate fields, technician owner resolution, and attachment links, and flags any records where data could not be fully translated. You review the diff and confirm the mapping is correct before the full migration run commits, and you can request additional sample cycles if needed.
Full migration run with delta-pickup window
All Frontu records migrate to HighLevel — Customers to Contacts, Work Orders to Opportunities with custom fields, Tasks to Tasks, Attachments to Files. During cutover, your team continues working in Frontu. A 24–48-hour delta-pickup window captures any new records or status changes made in Frontu after the migration snapshot. Audit log records every operation, and one-click rollback is available if reconciliation reveals unexpected divergence.
Platform deep dives
FRONTU
Source
Strengths
Weaknesses
HighLevel
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 FRONTU and HighLevel.
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
FRONTU: Not publicly documented.
Data volume sensitivity
FRONTU 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 FRONTU to HighLevel migration scoping. Not seeing yours? Book a call.
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