CRM migration
Field-level mapping, validation, and rollback between Fieldy and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Fieldy
Source
HighLevel
Destination
Compatibility
12 of 12
objects map 1:1 between Fieldy and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Teams move from Fieldy to HighLevel when they want to consolidate field service data with marketing automation and CRM under one subscription. Fieldy stores jobs, estimates, invoices, staff, and custom properties in a field-service-centric schema. HighLevel models everything as contacts, companies, and opportunities with pipeline stages and custom fields, plus a separate workflows engine for automations. FlitStack AI maps Fieldy's jobs to HighLevel opportunities (using the pipeline and stage fields), Fieldy's estimates and invoices to opportunities with custom fields holding monetary values, and Fieldy's staff records to contacts with a staff-role custom field. Custom properties on Fieldy objects migrate as HighLevel custom fields — the platform supports both contact-level and opportunity-level custom fields. Fieldy's tags map to HighLevel tags natively. FlitStack sequences the migration so foreign-key relationships resolve correctly: companies migrate first, then contacts with company lookups, then opportunities referencing those contacts. Workflows, scheduling rules, and dispatch logic do not migrate — they must be rebuilt in HighLevel's Workflows engine using Fieldy export documentation as a reference. The migration runs via HighLevel's Bulk CSV import API and REST API with a 24–48 hour delta pickup window for in-flight work orders.
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 Fieldy 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.
Fieldy
Contact (Customer)
HighLevel
Contact
1:1Fieldy customer contacts map directly to HighLevel contacts. Fieldy stores name, phone, email, and address on contacts. HighLevel requires contacts to be associated with a company (company_id field) — contacts without a company in Fieldy attach to a default placeholder company in HighLevel during migration.
Fieldy
Company/Client
HighLevel
Company
1:1Fieldy company records (client businesses) map to HighLevel companies. Fieldy stores company name, domain, address, and custom properties. HighLevel companies have a Name, Website, and custom fields — address data migrates to the contact-level address associated with the primary contact or as a custom field on the company record.
Fieldy
Job/Work Order
HighLevel
Opportunity
1:1Fieldy jobs are the core work-order record and map to HighLevel opportunities. The job name becomes the opportunity name, job amount maps to opportunity Amount, job status maps to a pipeline stage, and the close date maps to CloseDate. Job custom properties migrate as opportunity-level custom fields in HighLevel.
Fieldy
Job Pipeline (Fieldy status workflow)
HighLevel
Pipeline + Stage
1:1Fieldy's job-status workflow (e.g., New → Scheduled → In Progress → Completed → Invoiced) maps to a HighLevel pipeline with matching stage names. Each Fieldy status value becomes a HighLevel stage within the pipeline. Stage probability values are applied per stage during migration configuration.
Fieldy
Estimate
HighLevel
Opportunity + Custom Fields
1:1Fieldy estimates have line items, totals, and approval status with no direct HighLevel equivalent. FlitStack migrates estimates as Opportunities with custom fields capturing estimate total (Estimate_Total__c), status (Estimate_Status__c), and line items serialized as a JSON custom field (Line_Items__c) for reference. Rebuilding formal estimates in HighLevel requires a third-party quoting tool or custom development.
Fieldy
Invoice
HighLevel
Opportunity + Custom Fields
1:1Fieldy invoices carry line items, tax, total, and payment status. No native invoice object exists in HighLevel. FlitStack migrates invoices as Opportunities with custom fields for Invoice_Number__c, Invoice_Total__c, Amount_Paid__c, and Balance_Due__c. Actual invoice recreation requires connecting a HighLevel-supported payment provider (Stripe, Square) or rebuilding invoices manually.
Fieldy
Staff/Technician
HighLevel
Contact + Custom Fields
1:1Fieldy staff records include name, phone, email, certifications, and availability. HighLevel has no staff object — staff migrate as Contacts with a custom Role__c pick-list field set to 'Technician' or 'Field Staff'. HighLevel user accounts are separate and map by email match. Permissions are set via HighLevel user roles and profile assignments post-migration.
Fieldy
Location/Service Address
HighLevel
Contact Address + Custom Fields
1:1Fieldy stores service location addresses on jobs and contacts. HighLevel contacts have a native address block (street, city, state, zip, country). Fieldy location coordinates (lat/long) migrate as custom fields (Service_Lat__c, Service_Lng__c) since HighLevel does not store geocoordinates natively on contact records.
Fieldy
Tag
HighLevel
Tag
1:1Fieldy tags on contacts, companies, and jobs map directly to HighLevel tags. Tags are a native HighLevel construct applicable to contacts and opportunities. Multi-value tags on a single Fieldy record preserve all values in HighLevel's tag array. Additionally, tags can be used for segmentation and automation triggers in HighLevel workflows.
Fieldy
Note/Attachment
HighLevel
Note
1:1Fieldy notes on jobs and contacts migrate to HighLevel notes attached to the corresponding opportunity or contact. File attachments are downloaded and re-uploaded to HighLevel's file storage. Note timestamps and author information are preserved in the HighLevel note record where supported.
Fieldy
Custom Property (Fieldy)
HighLevel
Custom Field (HighLevel)
1:1Fieldy custom properties on contacts, companies, and jobs require corresponding custom fields in HighLevel. FlitStack creates contact-level and opportunity-level custom fields in HighLevel before migration. Field data types are preserved: text, number, pick-list, date, and checkbox map to HighLevel's custom field types respectively.
Fieldy
Workflow / Automation (Fieldy)
HighLevel
Workflow (HighLevel)
1:1Fieldy workflow rules (e.g., auto-assign job to technician based on zip code, send SMS on job completion) have no direct equivalent in HighLevel. FlitStack exports Fieldy workflow definitions as a JSON reference document for manual rebuild in HighLevel's Workflows engine. The migration does not move automation logic automatically.
| Fieldy | HighLevel | Compatibility | |
|---|---|---|---|
| Contact (Customer) | Contact1:1 | Fully supported | |
| Company/Client | Company1:1 | Fully supported | |
| Job/Work Order | Opportunity1:1 | Fully supported | |
| Job Pipeline (Fieldy status workflow) | Pipeline + Stage1:1 | Fully supported | |
| Estimate | Opportunity + Custom Fields1:1 | Fully supported | |
| Invoice | Opportunity + Custom Fields1:1 | Fully supported | |
| Staff/Technician | Contact + Custom Fields1:1 | Fully supported | |
| Location/Service Address | Contact Address + Custom Fields1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Note/Attachment | Note1:1 | Fully supported | |
| Custom Property (Fieldy) | Custom Field (HighLevel)1:1 | Fully supported | |
| Workflow / Automation (Fieldy) | 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.
Fieldy gotchas
No documented public API or bulk export endpoint
Custom workflow automations do not export as portable rules
Pricing tiers and per-user limits not publicly confirmed
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
Audit Fieldy data model and map custom properties
FlitStack pulls a full export of your Fieldy account via API, cataloguing all standard objects (contacts, companies, jobs, estimates, invoices, staff), custom property definitions with their data types, and active workflow rules. We generate a custom-field creation checklist for HighLevel and a workflow export JSON. This audit determines the exact number of HighLevel custom fields needed and flags any data that cannot map directly.
Create HighLevel schema and custom fields
Before any data moves, FlitStack creates the HighLevel custom fields identified in the audit: opportunity-level fields for job data (Estimate_Total__c, Invoice_Number__c, Service_Lat__c, Service_Lng__c, Scheduled_Date__c), contact-level fields for staff role and certifications, and company-level fields for any Fieldy company custom properties. We also configure the job pipeline with stages matching Fieldy's job-status workflow. Your HighLevel admin reviews and approves the schema before migration runs.
Migrate companies and contacts in dependency order
HighLevel requires companies before contacts can associate via company_id. FlitStack sequences the migration: companies load first, then contacts with their company lookups resolved by name match, then staff as contacts with Role__c set to 'Technician'. Tags on all three object types load as HighLevel native tags. Fieldy-to-HighLevel email matches resolve owner assignments for contacts. Any contacts without a matching company in Fieldy attach to a default placeholder company.
Migrate jobs as opportunities with custom field data
With companies and contacts in place, FlitStack loads Fieldy jobs as HighLevel opportunities. Each opportunity receives its name, amount, stage from the Fieldy status-to-pipeline-stage mapping, and close date. Opportunity-level custom fields capture scheduled date, service coordinates, estimate totals, and invoice details. Technician assignments resolve by email match to staff contacts and populate the Assigned_Technician__c custom lookup field. Notes and attachments from Fieldy jobs attach to the corresponding opportunity.
Run sample migration with field-level diff and validation
A representative slice of records (typically 100–500 spanning contacts, companies, jobs, and estimates) migrates first. FlitStack generates a field-level diff comparing source Fieldy values against destination HighLevel fields for every mapped column. You verify custom field mapping, pipeline stage assignment, technician resolution, and tag population before the full run commits. Approval of the sample is the go-ahead for the full migration.
Execute full migration with delta-pickup window
The full dataset migrates in batches using HighLevel's Bulk CSV import API and REST API for records requiring custom field resolution. A delta-pickup window (24–48 hours) captures any Fieldy records modified during the migration run — jobs marked complete, new contacts added, invoices paid. FlitStack applies these delta records to HighLevel so the destination reflects Fieldy's final state at go-live.
Platform deep dives
Fieldy
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 Fieldy 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
Fieldy: Not publicly documented..
Data volume sensitivity
Fieldy 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 Fieldy to HighLevel migration scoping. Not seeing yours? Book a call.
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