CRM migration
Field-level mapping, validation, and rollback between FRONTU and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
FRONTU
Source
Pipedrive
Destination
Compatibility
9 of 10
objects map 1:1 between FRONTU and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Frontu is a field service management platform built around Jobs, Workers, Customers, Locations, and Assets — it models service dispatch, technician scheduling, and job status for industries like construction, farming, and material handling. Pipedrive is a sales CRM built around Persons, Organizations, Deals, Activities, and Leads — its schema assumes a sales pipeline where deals move through stages toward close. There is no native field-service data model in Pipedrive, so the migration requires converting Frontu's operational objects into CRM equivalents: Workers map to Pipedrive Users, Customers split into Pipedrive Persons and Organizations, Jobs map to Pipedrive Deals, and Locations become address fields on Organizations. Custom properties from Frontu (job types, priority tiers, asset IDs, scheduled slots) migrate as Pipedrive custom fields on the relevant objects. Activities (calls, notes, job updates) migrate as Pipedrive Activities. We do not migrate scheduling logic, route plans, or asset-tracking workflows — those are destination-side rebuilds. Our mechanism uses Frontu's API export and bulk CSV preparation, field-level mapping with custom-field creation in Pipedrive, and a 24–48h delta-pickup window during 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 Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
FRONTU
Worker
Pipedrive
User
1:1Frontu Workers map 1:1 to Pipedrive Users by email match. Each Worker with an email address becomes a Pipedrive User with the same name and email. Workers without email addresses are flagged for admin review — their Jobs reassign to a fallback owner in Pipedrive. Skill certifications stored on the Worker record migrate as custom fields on the Pipedrive User.
FRONTU
Customer
Pipedrive
Person + Organization
many:1Frontu Customer records hold both individual contact details (name, email, phone) and company details (company_name, address). We split them: individual-level fields map to Pipedrive Person; company-level fields map to Pipedrive Organization, linked to the Person via the Person's org_id field. This mirrors how Pipedrive's own data model separates contacts from companies.
FRONTU
Job
Pipedrive
Deal
1:1Frontu Job is the central migration object, mapped directly to Pipedrive Deal. The Job Name maps to Deal Name, Job Amount maps to Deal Value, Job status maps to a Pipedrive Stage value, and the Customer Person record links via Deal.PersonId. Pipedrive does not have a native job-status concept — the mapping requires pre-creating Pipedrive pipeline stages that correspond to Frontu's job_status values before migration.
FRONTU
Job (custom properties)
Pipedrive
Deal (custom fields)
1:1Frontu custom properties on Jobs (priority tier, job type, asset ID, scheduled slot, work order number) have no native Pipedrive equivalents and require Pipedrive Deal custom fields to be created first. Each custom property is type-aware: pick-list values migrate as Pipedrive options, numeric values as number fields, dates as date fields. Pipedrive's custom field hash keys are generated at creation time — the migration plan references visible field names so admins can pre-create fields in Pipedrive before data lands.
FRONTU
Location
Pipedrive
Organization (address fields)
1:1Frontu Locations (site address, coordinates, access instructions) attach to Jobs and Customers. We map the primary site address to address fields on the linked Organization record in Pipedrive (Street, City, State, Zip, Country). Access instructions and coordinates store as Pipedrive custom fields on the Organization — Pipedrive's native address field supports a single physical address per Organization.
FRONTU
Asset
Pipedrive
Custom field on Deal / Organization
1:1Frontu Asset records (equipment ID, serial number, make, model, service history) have no native counterpart in Pipedrive. We preserve asset data as Pipedrive custom fields on the Deal and/or Organization — your admin chooses the preferred location. For equipment-tracking workflows that need to persist post-migration, a separate asset-management tool or a Pipedrive custom object (Enterprise plans) must be considered.
FRONTU
Job Activity / Job Note
Pipedrive
Activity
1:1Frontu activity history attached to Jobs (job notes, status-change logs, internal comments) migrates as Pipedrive Activities. Pipedrive Activities support type, subject, due date, and owner. Original timestamps and author information are preserved on the Activity record. Internal-only job notes are migrated as private Activities or Note attachments depending on your Pipedrive plan visibility settings.
FRONTU
Job Attachment / File
Pipedrive
File (on Deal / Person)
1:1Files attached to Frontu Jobs (photos, work orders, signatures) are re-uploaded to Pipedrive's file storage and linked to the corresponding Deal or Person record. Pipedrive's file size limit is 100 MB per file. Very large attachments or image-heavy job records may require API batching — we flag these during the sample migration before the full run.
FRONTU
Scheduling / Route Plan
Pipedrive
Not migratable
1:1Frontu's scheduling board, technician route assignments, and time-slot reservations are operational constructs with no Pipedrive equivalent. Pipedrive has no native scheduling, dispatch, or route-optimization module. Scheduling and route data are not migrated; they must be rebuilt using Pipedrive Activities with due dates, Calendar integrations, or a third-party scheduling add-on from the Pipedrive Marketplace.
FRONTU
Work Order / Invoice Line
Pipedrive
Custom field on Deal
1:1Frontu work order numbers, invoice references, and billing line items attached to Jobs store as Pipedrive custom fields on the Deal. Pipedrive's native Products feature supports line items on Deals, but service-labor descriptions need custom fields unless you use the Products module for parts-and-materials billing separately from labor tracking.
| FRONTU | Pipedrive | Compatibility | |
|---|---|---|---|
| Worker | User1:1 | Fully supported | |
| Customer | Person + Organizationmany:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Job (custom properties) | Deal (custom fields)1:1 | Fully supported | |
| Location | Organization (address fields)1:1 | Fully supported | |
| Asset | Custom field on Deal / Organization1:1 | Fully supported | |
| Job Activity / Job Note | Activity1:1 | Fully supported | |
| Job Attachment / File | File (on Deal / Person)1:1 | Fully supported | |
| Scheduling / Route Plan | Not migratable1:1 | Fully supported | |
| Work Order / Invoice Line | Custom field on Deal1:1 | 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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Extract Frontu data via API and bulk export
FlitStack AI authenticates against Frontu's API using your account credentials and exports all Workers, Customers, Jobs, Locations, Assets, and activity history in bulk. We pull the complete record set including custom properties, timestamps, and attachment references. If Frontu's API does not expose certain fields, we use the bulk export CSV as a fallback. The extraction runs read-only — no Frontu records are modified during this phase. We generate a data inventory report listing record counts per object, custom property names and data types, and any fields that require manual extraction or transformation before mapping can proceed.
Create Pipedrive custom fields and resolve user mappings
Before data is written to Pipedrive, we create the custom fields identified in the mapping plan — custom pick-list fields for job_type and priority, text fields for asset IDs and work order numbers, datetime fields for scheduled slots. Pipedrive's API generates a unique hash key for each custom field; we store the visible field names and hash keys in the mapping workbook so field-level writes are precise. Simultaneously, we match Frontu Workers to existing or new Pipedrive Users by email. Workers without a Pipedrive email match are flagged for your admin to either create a Pipedrive account or assign their Jobs to a fallback owner before migration begins.
Migrate Organizations and Persons before Deals, then Activities
Pipedrive requires Organizations to exist before Persons can link to them, and Persons (or Organizations) to exist before Deals can reference them via PersonId or OrgId. We sequence the migration: first Organizations from Frontu Customers (using company_name), then Persons from Frontu Customers (individual contact details), then Deals from Frontu Jobs linked to the resolved Person and Organization records. Activities attached to Jobs migrate after the parent Deal is confirmed in Pipedrive so the activity's deal_id reference resolves correctly. This foreign-key sequencing prevents orphaned records and broken association links in Pipedrive.
Run sample migration with field-level diff
A representative slice — typically 100–500 Frontu records spanning Jobs across different statuses, Workers with different assignments, and custom property combinations — migrates to Pipedrive in a test run. We generate a field-level diff showing every source field, its Pipedrive destination field, the transferred value, and any values that failed to map or fell outside Pipedrive's validation rules. You review the diff to confirm job_status-to-stage mapping, custom field values, and owner resolution before the full run commits. This step surfaces any value-mapping gaps or missing Pipedrive stage names before data lands at scale.
Full migration with delta-pickup window and rollback
The full Frontu dataset migrates to Pipedrive. A delta-pickup window (typically 24–48 hours) captures any new or modified Jobs created or updated in Frontu during the migration run. Our audit log records every operation — record count per object, field writes, and association links. If reconciliation fails or the mapping validation shows unexpected data loss, one-click rollback reverts the Pipedrive environment to its pre-migration state. After rollback confirmation, your team can address the root cause and re-run. Once you sign off on the migrated data, the Frontu read-access is revoked and Pipedrive becomes the CRM of record.
Platform deep dives
FRONTU
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Pipedrive.
Object compatibility
3 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 Pipedrive migration scoping. Not seeing yours? Book a call.
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