CRM migration

Migrate from FRONTU to HighLevel

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

FRONTU logo

FRONTU

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

12 of 12

objects map 1:1 between FRONTU and HighLevel.

Complexity

BStandard

Timeline

5–10 business days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

FRONTU logo

FRONTU

What's pushing teams away

  • Smaller partner ecosystem and fewer third-party integrations compared to enterprise FSM platforms means organizations with complex ERP or CRM needs eventually outgrow the available connectors.
  • Pricing opacity and minimum seat requirements on higher tiers make it difficult for smaller organizations to budget predictably as they scale their field operations.
  • Limited advanced reporting and analytics features mean organizations seeking deep operational intelligence often migrate to platforms with built-in BI dashboards.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How FRONTU objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Frontu 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

maps to

HighLevel

Company

1:1
Fully supported

Frontu 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

maps to

HighLevel

Opportunity

1:1
Fully supported

Frontu 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

maps to

HighLevel

Opportunity Stage

1:1
Fully supported

Frontu 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)

maps to

HighLevel

Task

1:1
Fully supported

Frontu 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

maps to

HighLevel

User (Owner)

1:1
Fully supported

Frontu 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

maps to

HighLevel

Custom Fields on Contact/Opportunity

1:1
Fully supported

Frontu 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

maps to

HighLevel

Custom Picklist Field

1:1
Fully supported

Frontu 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)

maps to

HighLevel

File

1:1
Fully supported

Frontu 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

maps to

HighLevel

Tag / Custom Field

1:1
Fully supported

Frontu 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)

maps to

HighLevel

Custom Fields (HighLevel)

1:1
Fully supported

Frontu 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)

maps to

HighLevel

Workflow (HighLevel)

1:1
Fully supported

Frontu 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.

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.

FRONTU logo

FRONTU gotchas

High

No publicly documented public API for bulk data export

Medium

Custom fields are per-organization with no standard schema

Medium

Tasker legacy data from pre-2021 may use different object names

Medium

Billing and invoicing data may exist outside Frontu

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Frontu's API field coverage is incomplete — some job attributes require manual CSV export

    Frontu's public API surfaces a constrained set of fields per object. Depending on your Frontu plan and configuration, custom fields, GPS coordinates, and detailed job notes may not be accessible via API and require manual CSV exports per object type. We audit Frontu's API field availability during the pre-migration discovery phase and flag any fields that require manual extraction. If manual exports are needed, we provide a structured template so the data lands cleanly in HighLevel without re-keying.

  • Frontu's job-status model requires a custom Opportunity field in HighLevel — it does not map natively

    Frontu tracks job lifecycle through status values (Pending, In Progress, Completed, Cancelled) attached to each Work Order. HighLevel has no native job-status field on Opportunities — the Opportunity object uses Stage for deal progression, which is the wrong semantic for a field-service work order. We create a custom Opportunity pick-list field (Job_Status__c) matching Frontu's status taxonomy, and configure your HighLevel pipeline stages so the stage names align with the job-status labels your team already uses.

  • Frontu location data is stored across multiple fields — normalization is required before HighLevel migration

    Frontu's Location object stores address components, GPS latitude/longitude, and a Google Maps URL as separate fields. HighLevel has no native Location object and stores address only on the Contact or Company record. To keep location information intact, we create custom Opportunity fields—GPS_Latitude__c, GPS_Longitude__c, and Google_Maps_URL__c—that preserve each data point structurally. If Frontu stores location as unstructured text within a job-notes field, we parse and normalize it into these structured fields during transformation. After migration, your team can use these fields for mapping, routing analysis, and territory reporting without losing any geographic detail.

  • Frontu technicians must exist as HighLevel Users for owner resolution — unmatched technicians are blocked by design

    HighLevel Opportunities and Tasks require an OwnerId pointing to an existing HighLevel User. Frontu technicians are not automatically HighLevel users. We resolve Frontu technician records by email match against HighLevel's user list. If a technician email has no matching HighLevel user, that technician's records are flagged before migration — your team either invites the technician to HighLevel as a user or assigns them to a fallback owner. No record migrates without a resolved owner.

  • Frontu route data does not have a HighLevel equivalent and must be reconstructed manually

    Frontu's Route object groups scheduled work orders by technician and day — it is a scheduling construct that has no analog in HighLevel's data model. We preserve the route identifier and date on each migrated Opportunity (Route_ID__c and Route_Date__c), which allows your team to reconstruct route groupings in HighLevel's pipeline view by filtering or tagging opportunities. However, the automated dispatch and sequencing logic from Frontu cannot migrate and must be rebuilt in HighLevel's Workflow Builder.

Migration approach

Six steps for a successful FRONTU to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

FRONTU logo

FRONTU

Source

Strengths

  • Task scheduling and dispatch with real-time mobile sync for field technicians across multiple languages and 16+ countries.
  • Equipment and asset management natively structured for heavy machinery sectors like farming, construction, and forestry.
  • Workforce management combining employee scheduling, time tracking, and route planning in a single mobile app.
  • G2-recognized user experience with #1 User Friendly FSM rating indicating accessible interface for field teams.
  • Acquired by Everfield (2024) signaling continued investment and European market expansion.

Weaknesses

  • Smaller third-party integration ecosystem compared to enterprise FSM competitors, limiting connectivity to specialized ERP or CRM systems.
  • Limited publicly documented API for bulk data export, making self-service migration more complex without specialist tooling.
  • Analytics and reporting features are basic, which may drive organizations with advanced BI requirements to seek alternatives.
  • Pricing model has limited public transparency with minimum seat thresholds and tier-specific feature gating not clearly published.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 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 FRONTU and HighLevel.

  • Object compatibility

    B

    2 of 8 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

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    FRONTU: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FRONTU to HighLevel 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 FRONTU to HighLevel data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Frontu-to-HighLevel migrations complete in 5–10 business days of clock time for under 5,000 work orders with standard custom fields. Larger setups with 20,000+ work orders or heavy location-data normalization extend to 3–4 weeks. The longest planning step is designing the HighLevel Opportunity schema (custom fields for job status, service type, and GPS coordinates) and confirming technician-to-user email resolution before migration runs.

Adjacent paths

Related migrations to explore

Ready when you are

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