CRM migration

Migrate from Fieldproxy to HighLevel

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

Fieldproxy logo

Fieldproxy

Source

HighLevel

Destination

HighLevel logo

Compatibility

91%

10 of 11

objects map 1:1 between Fieldproxy and HighLevel.

Complexity

BStandard

Timeline

3–7 business days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldproxy and HighLevel serve different operational models: Fieldproxy optimizes dispatch, scheduling, and field-technician workflows, while HighLevel provides a unified CRM with marketing automation, pipelines, and client-facing funnels. Moving from Fieldproxy to HighLevel means restructuring your field-service records into CRM-style objects, accepting that Fieldproxy's dispatch-agent logic and job-specific rules don't carry over, and rebuilding any automated routing as HighLevel workflows. We extract Fieldproxy's core records — jobs, customers, contacts, technicians, assets, and line items — through their REST API. In HighLevel, these map to Contacts, Companies, Opportunities, and Tasks, with custom fields holding Fieldproxy-specific data like technician assignments and job statuses. Invoices and payment records transfer as custom objects; asset records become either custom objects or custom fields on the related Contact or Opportunity. We preserve original create dates and technician assignments, flagging unmapped fields as custom properties for your HighLevel admin to reorganize. Workflows, AI agents, and scheduling rules cannot migrate and must be rebuilt using HighLevel's workflow builder.

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

Fieldproxy logo

Fieldproxy

What's pushing teams away

  • G2 reviewers report intermittent technical issues and errors during ticket management, with support response times occasionally delaying urgent resolutions.
  • Documentation coverage is thin — users and migration teams have limited self-service reference material when troubleshooting or scoping data exports.
  • Support responsiveness varies; some reviewers experienced delays when raising non-critical but blocking issues during operational hours.
  • Custom workflow complexity can outpace the platform's ability to surface them clearly, making it harder to audit what automations exist before migrating away.

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 Fieldproxy objects map to HighLevel

Each row shows how a Fieldproxy 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.

Fieldproxy

Job

maps to

HighLevel

Opportunity

1:1
Fully supported

Fieldproxy jobs map to HighLevel Opportunities with a custom pipeline representing job stages. Original job create dates and close dates transfer as custom datetime fields since HighLevel's CreatedDate is set at migration time. Job status values require a value-mapping table to HighLevel's pipeline stage pick-list.

Fieldproxy

Customer

maps to

HighLevel

Company

1:1
Fully supported

Fieldproxy customers map directly to HighLevel Companies. The primary address, industry, and billing information transfer to their corresponding HighLevel Company fields. Customer-level custom properties migrate as custom fields on the Company object. We preserve all customer metadata including tax IDs, payment terms, and service tier classifications through custom field creation. Related contacts automatically link to the parent Company via lookup relationships.

Fieldproxy

Contact

maps to

HighLevel

Contact

1:1
Fully supported

Fieldproxy contacts map to HighLevel Contacts. We link each contact to its primary Company via the CompanyId lookup. Contacts without a parent company receive a placeholder company record in HighLevel before migration — your admin can reassign later. During migration, we match contacts by email address to existing HighLevel users for owner assignment, and we transfer phone numbers, mailing addresses, and custom contact fields to preserve complete communication histories.

Fieldproxy

Technician

maps to

HighLevel

Contact (with custom field)

1:1
Fully supported

Fieldproxy technicians have no direct HighLevel equivalent. We map them to HighLevel Contacts with a Role field set to 'Technician', or optionally create a technician custom object for high-volume operations. Skill certifications and availability windows migrate as custom fields on the contact record.

Fieldproxy

Job

maps to

HighLevel

Opportunity (contact role)

many:1
Fully supported

Each Fieldproxy job-technician assignment becomes a HighLevel Opportunity Contact Role with the technician role. This preserves the link between the opportunity (job) and the assigned technician contact, enabling reporting on technician performance from HighLevel's opportunity view. Multiple technicians per job create multiple Contact Role entries. We include the job start time and skill match as custom fields on the Contact Role for scheduling and routing reference within HighLevel workflows.

Fieldproxy

Job Line Item

maps to

HighLevel

Opportunity Line Item

1:1
Fully supported

Fieldproxy job line items (parts, labor, services) map to HighLevel Opportunity Line Items. Product name, quantity, unit price, and tax amounts transfer directly. HighLevel's line-item model supports description and quantity fields natively — no custom fields required. Discount codes and notes attached to line items in Fieldproxy map to the description field on each Opportunity Line Item, preserving billing context for your finance team.

Fieldproxy

Asset

maps to

HighLevel

Custom Object

1:1
Fully supported

Fieldproxy assets (equipment, vehicles, inventory) require a custom object in HighLevel since no native asset management exists. We create an Asset custom object with fields for name, type, serial number, status, and a lookup to the related Customer Company. The migration plan includes the schema definition for your admin to pre-create.

Fieldproxy

Invoice

maps to

HighLevel

Custom Object (Invoice)

1:1
Fully supported

HighLevel has no native invoice object. Fieldproxy invoices migrate as a custom Invoice object built via the HighLevel custom_object API. Fields include invoice number, date, amount, status, and a lookup to the related Company and Opportunity (job). Your admin sets up the schema before migration runs.

Fieldproxy

Custom Field

maps to

HighLevel

Custom Field / Custom Object Field

1:1
Fully supported

All Fieldproxy custom fields migrate as HighLevel custom fields on the corresponding object, or as fields on a custom object when no standard object matches. HighLevel enforces that a field is created as either Contact or Opportunity type and cannot be switched — we plan the schema before migration to avoid re-work.

Fieldproxy

Note / Attachment

maps to

HighLevel

Note / Files

1:1
Fully supported

Fieldproxy notes and file attachments transfer to HighLevel Notes and Files respectively. File size limits (HighLevel default 25MB per file) apply — larger files are flagged for manual download links stored as URL custom fields. We maintain attachment associations by linking files to the parent record (Job, Customer, or Contact). Timestamps on notes preserve the original creation date for audit continuity, and attachments over 25MB are uploaded to your cloud storage with URL references migrated to HighLevel.

Fieldproxy

Tag

maps to

HighLevel

Tag

1:1
Fully supported

Fieldproxy tags on jobs, customers, and contacts map directly to HighLevel tags. Tags serve as the primary segmentation mechanism in HighLevel for workflows, smart lists, and campaign targeting. All tag names and associations transfer exactly, preserving your existing categorization structure. HighLevel tags are case-sensitive, so we maintain the original casing from Fieldproxy. Tags enable automated workflow triggers and audience filtering in HighLevel's marketing automation features.

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.

Fieldproxy logo

Fieldproxy gotchas

High

Custom Workflows do not export as portable definitions

Medium

API rate limits and bulk endpoints not publicly documented

Medium

Spare Parts inventory requires quantity reconciliation

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

  • AI agents and dispatch rules cannot migrate — HighLevel's workflow builder runs a different automation paradigm

    Fieldproxy's AI agents (Voice Agent, Dispatch Agent, Scheduler Agent, Document Intelligence Agent) execute field-specific automation using AI prompts and real-time data analysis. HighLevel's workflow builder operates on triggers, conditions, and actions in a sequential flow. These are architecturally incompatible — no automated conversion exists. We export your Fieldproxy agent definitions as documentation for your team to rebuild using HighLevel's workflow builder, triggers, and actions. This is the most significant manual effort in the migration and should be scoped as a separate project after data migration completes.

  • HighLevel has no native invoicing object — invoice data requires custom-object setup before migration

    Fieldproxy ships with native invoice generation, payment tracking, and Stripe/QuickBooks sync. HighLevel has no built-in invoice object. Fieldproxy invoices, payments, and billing records must be stored in a custom Invoice object created via HighLevel's custom_object API before data lands. Your HighLevel admin needs to create the Invoice custom object schema (fields for invoice number, date, amount, status, related Company, and related Opportunity) before the migration plan is finalized. FlitStack provides the schema specification in the migration plan deliverable. If invoices are critical for your operations, we recommend a post-migration review of HighLevel's Stripe or QuickBooks integration as an alternative billing workflow.

  • HighLevel pipeline stages are pick-list scoped per pipeline — job-status granularity may require custom fields

    HighLevel Opportunities use pipeline stages as the primary progress indicator. Pipeline stages are pick-list values scoped to a specific pipeline. If your Fieldproxy setup uses multiple job-status values beyond what HighLevel's stage count supports per pipeline, you have two options: map status values to stages (losing granularity) or add a custom Job_Status__c pick-list field on the Opportunity for full fidelity. We document this trade-off in the migration plan and recommend the custom field approach for FSM-heavy use cases. The custom field requires creation in HighLevel's Settings → Custom Fields before migration runs.

  • HighLevel custom fields are typed at creation and cannot be reassigned to a different object

    HighLevel enforces that a custom field is created as Contact, Opportunity, Company, or Custom Object type and this choice is permanent — the field type and target object cannot be changed after creation. Fieldproxy's custom fields have no such restriction. Before migration, we audit your Fieldproxy custom field definitions and map each to its HighLevel object and type. This planning step prevents schema rework mid-migration. Fields mapped to the wrong object require deletion and re-creation, which loses any data already loaded.

  • Technician records require a role designation or custom object in HighLevel — no native equivalent exists

    Fieldproxy has a dedicated technician object with skills, availability, GPS tracking, and job assignment APIs. HighLevel has no technician or staff object. We map technicians to HighLevel Contacts with a Role field set to 'Technician', which allows Opportunity Contact Roles to reference them on job records. For operations with high technician volume or complex skill-based routing, we recommend a technician custom object (via HighLevel's custom_object API) with skill and certification fields — this provides better reporting but requires schema setup before migration.

Migration approach

Six steps for a successful Fieldproxy to HighLevel data migration

  1. Audit Fieldproxy data model and define HighLevel schema

    We export Fieldproxy's complete data model — objects, custom fields, relationships, and pick-list values — via their REST API. We cross-reference this against HighLevel's object model and identify what maps directly, what requires a custom field, and what requires a custom object (invoices, assets, technicians). The output is a HighLevel schema setup plan: custom objects to create, custom fields to add, pipeline stages to configure, and any sub-account structure needed to replicate Fieldproxy's workspace segmentation. Your HighLevel admin creates the schema before we proceed to data migration.

  2. Map technicians, customers, and contacts with relationship resolution

    We resolve all entity relationships before writing data to HighLevel. Technicians without email addresses are flagged for manual assignment. Fieldproxy customers without contacts generate placeholder company records in HighLevel. Customers with multiple contacts get a primary contact designated by most-recent modification date or by a rule you specify. All email-addressable entities are matched against HighLevel users for owner assignment. This step ensures foreign keys resolve correctly when jobs and opportunities are loaded — HighLevel requires contacts to exist before opportunities can reference them.

  3. Run sample migration with field-level diff

    A representative slice of 50–100 records migrates first — spanning jobs, customers, contacts, line items, and a technician assignment. We generate a field-level diff report comparing source values against destination fields, highlighting: job status-to-pipeline-stage mapping accuracy, technician contact role assignment, original create dates preserved in custom datetime fields, and custom field values correctly populated. You review the diff and approve before the full run commits. Any field mapping adjustments are made at this stage.

  4. Execute full migration with delta-pickup window and audit log

    Full data migration runs against HighLevel using Bulk API for high-volume record sets. A delta-pickup window (24–48 hours after the initial run) captures any Fieldproxy records modified or created during the cutover window. All operations are logged to an audit trail: record count by object, mapping applied, timestamp, and source system ID. One-click rollback reverts all migrated records if reconciliation fails. The audit log is exported as a CSV for your records and for any downstream reconciliation against Fieldproxy's final state.

Platform deep dives

Context on both ends of the pair

Fieldproxy logo

Fieldproxy

Source

Strengths

  • 24-hour deployment with dedicated Solution Consultant — workspace is live and wired to QuickBooks, Stripe, Calendar, and WhatsApp by day one.
  • Unlimited-users pricing model — no per-seat cost escalation as teams grow.
  • YC-backed with 400+ customers, 50K+ technicians, and 99.9% uptime SLA.
  • AI-powered scheduling, task routing, and spare-parts replenishment are built into the platform rather than add-ons.
  • Mobile apps for iOS and Android with offline-first sync for field technicians in low-connectivity areas.

Weaknesses

  • API documentation is not publicly indexed — rate limits, bulk endpoints, and schema details are not available for pre-migration assessment.
  • Custom workflow automations are not exportable and must be manually rebuilt on the destination platform.
  • Documentation quality is a known complaint — limited self-service reference material for technical users and migration teams.
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. 1 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 Fieldproxy and HighLevel.

  • Object compatibility

    B

    1 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

    Fieldproxy: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldproxy 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 Fieldproxy to HighLevel data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Fieldproxy-to-HighLevel migrations complete in 3–7 business days for under 5,000 records with standard field mapping. Complex setups with over 25,000 records, multiple custom objects (invoices, assets, technicians), and complex pick-list value mappings extend to 2–4 weeks. The longest planning step is HighLevel schema setup — creating custom objects and custom fields before data migration begins. FlitStack handles the data migration; schema setup can run in parallel by your HighLevel admin.

Adjacent paths

Related migrations to explore

Ready when you are

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