CRM migration
Field-level mapping, validation, and rollback between FieldPro and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
FieldPro
Source
HighLevel
Destination
Compatibility
10 of 10
objects map 1:1 between FieldPro and HighLevel.
Complexity
BStandard
Timeline
1–2 weeks
Overview
FieldPro is a field-service management platform built for manufacturers and distributors managing outlet networks, retail audits, and field force productivity. Its data model centers on outlets (retailer locations), agents (field representatives), products, and audit results. HighLevel is a marketing and sales CRM that structures data around Contacts, Companies, Opportunities, and custom objects. These models overlap only partially — outlets map to Companies, agents map to Contacts, and products or audit data require custom objects or custom fields in HighLevel. FlitStack AI migrates all standard records (outlets, agents, products, orders) with timestamps and ownership preserved, creates HighLevel custom objects for audit forms and distribution data, and maps agent IDs to HighLevel users by email. Workflows, routing logic, and offline-sync configurations do not migrate — they must be rebuilt in HighLevel's Workflow Builder using a reference export. The migration uses API-based export where available, falling back to structured CSV import through HighLevel's Bulk Actions dashboard for contacts, companies, and opportunities.
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 FieldPro 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.
FieldPro
Outlet
HighLevel
Company
1:1FieldPro outlets are retailer or distributor locations with address and GPS data. These map directly to HighLevel Company records. The outlet name becomes the Company name, the full address maps to Company address fields, and the outlet code (FieldPro's unique identifier) is stored as a custom field (Outlet_Code__c) on the Company for reference and deduplication.
FieldPro
Agent
HighLevel
Contact
1:1FieldPro agents are field representatives who visit outlets and conduct retail audits. They map to HighLevel Contact records. Agent name, email, phone, and role title transfer as direct Contact fields. The FieldPro agent ID is preserved as Agent_ID__c for traceability and owner resolution. Agents without an email address in FieldPro are flagged and assigned to a fallback HighLevel user.
FieldPro
Agent
HighLevel
User
1:1FieldPro agents who will actively use HighLevel after migration must resolve to HighLevel User accounts. Resolution happens by email match. Unmatched agents are flagged before migration — your team either creates HighLevel user accounts for them or reassigns their records to an existing user. Agent territory or region data from FieldPro maps to a custom Contact field (Territory__c).
FieldPro
Product / SKU
HighLevel
Custom Object: Product
1:1FieldPro products and SKU-level data have no direct HighLevel equivalent — HighLevel Opportunities support line items but not a full product catalog. We create a Product custom object in HighLevel with fields for SKU, product name, category, and unit price. This enables you to associate products with Opportunities via custom object relationships.
FieldPro
Retail Audit
HighLevel
Custom Object: Retail Audit
1:1FieldPro retail audit results (store visits, shelf audits, compliance checks) do not map to any native HighLevel object. We create a Retail_Audit__c custom object with fields for audit date, outlet reference, agent reference, compliance score, and key observations. Each audit record links to the outlet Company and agent Contact via lookup relationships.
FieldPro
Order / Sales Record
HighLevel
Opportunity
1:1FieldPro sales orders or distribution records map to HighLevel Opportunities. The outlet maps to the Opportunity's associated Company via lookup. Order value maps to Opportunity amount, order date maps to the CloseDate, and the order status maps to the Opportunity pipeline stage. HighLevel's pipeline stages are recreated to match FieldPro's order status lifecycle.
FieldPro
Deployment Package
HighLevel
Custom Field on Opportunity
1:1FieldPro deployment package tiers (1–25 SKU, 26–50 SKU, 51–100 SKU) and their associated service scope are captured as Opportunity-level custom fields in HighLevel. We create a Deployment_Package__c picklist field to preserve the tier classification and service context without requiring a separate custom object, maintaining data visibility on the Opportunity record itself.
FieldPro
Visit Log / Activity
HighLevel
Activity / Note
1:1FieldPro visit logs recording agent-to-outlet interactions migrate as HighLevel Activities (Tasks) attached to the Contact and Company records. Each activity preserves the original timestamp, agent name, visit outcome, and outlet reference. HighLevel's activity timeline surfaces these on the Contact and Company record pages.
FieldPro
GPS Coordinates
HighLevel
Custom Fields on Company
1:1FieldPro captures outlet GPS latitude and longitude for field routing. HighLevel has no native geo-coordinate fields on Companies. We create Latitude__c and Longitude__c custom number fields on the Company record, preserving location data for reference even though HighLevel does not use them for routing.
FieldPro
Tag / Label
HighLevel
Tag
1:1FieldPro uses tags or labels to categorize outlets (by region, retailer tier, or product focus). These map to HighLevel Tags on Company and Contact records. Tag values transfer as-is, and HighLevel's Smart Lists can use these tags for segmentation and workflow triggers post-migration.
| FieldPro | HighLevel | Compatibility | |
|---|---|---|---|
| Outlet | Company1:1 | Fully supported | |
| Agent | Contact1:1 | Fully supported | |
| Agent | User1:1 | Fully supported | |
| Product / SKU | Custom Object: Product1:1 | Fully supported | |
| Retail Audit | Custom Object: Retail Audit1:1 | Fully supported | |
| Order / Sales Record | Opportunity1:1 | Fully supported | |
| Deployment Package | Custom Field on Opportunity1:1 | Fully supported | |
| Visit Log / Activity | Activity / Note1:1 | Fully supported | |
| GPS Coordinates | Custom Fields on Company1:1 | Fully supported | |
| Tag / Label | Tag1:1 | 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.
FieldPro gotchas
Quarterly billing minimum masks true cost
License count is tied to all active mobile users
Detect module image metadata is separate from image files
ERP integrations must be rebuilt on the destination platform
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 FieldPro data model and export objects
FlitStack AI inventories every FieldPro object — outlets, agents, products, retail audits, orders, visit logs, and tags — and assesses API export availability versus CSV fallback. We identify custom fields in FieldPro (deployment package tiers, SKU counts, compliance scores, GPS coordinates) and map each to the appropriate HighLevel destination object (Company, Contact, Opportunity, or custom object). A custom field plan is produced and approved before any HighLevel schema is created.
Build HighLevel schema: custom objects, custom fields, and sub-account structure
Before data lands in HighLevel, we create all required custom objects and custom fields identified during the audit phase. This includes the Product custom object and Retail_Audit__c custom object, plus custom fields such as Outlet_Code__c, Latitude__c, Longitude__c, Territory__c, Agent_ID__c, Deployment_Package__c, SKU_Count__c, and Original_Create_Date__c. We also assess whether your HighLevel deployment uses sub-accounts organized by business unit or region, and structure the migration accordingly so each record lands in the correct sub-account context.
Resolve agent-to-user mappings and create owner plan
FieldPro agents map to HighLevel Contacts, but agents who need to actively log in to HighLevel must also have User accounts. We match agents to HighLevel users by email address. Any agent without a matching HighLevel user is flagged for your team to create accounts or assign a fallback owner before migration. This step prevents orphaned records where a HighLevel Contact has no associated User owner.
Run sample migration with field-level validation
A representative subset of records — typically 100–500 spanning outlets, agents, orders, and audit results — migrates first in a controlled test run. We generate a field-level diff comparing FieldPro source values to the migrated HighLevel records, allowing you to verify custom field mapping accuracy, outlet-code preservation, GPS coordinate accuracy, and Opportunity amount conversion before the full migration run commits to production.
Execute full migration with delta-pickup and audit log
The full dataset migrates using API-based export and HighLevel's Bulk Actions import for large record sets. A delta-pickup window (24–48 hours) captures any FieldPro records modified during the cutover. Every migration operation is logged to an audit trail. One-click rollback is available if record reconciliation reveals discrepancies. We also deliver a FieldPro workflow export as a reference document for rebuilding visit-scheduling and territory rules in HighLevel's Workflow Builder.
Platform deep dives
FieldPro
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 FieldPro 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
FieldPro: Not publicly documented.
Data volume sensitivity
FieldPro 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 FieldPro to HighLevel migration scoping. Not seeing yours? Book a call.
Walk through your FieldPro to HighLevel migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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