CRM migration

Migrate from FRONTU to Pipedrive

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

FRONTU logo

FRONTU

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

90%

9 of 10

objects map 1:1 between FRONTU and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How FRONTU objects map to Pipedrive

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

maps to

Pipedrive

User

1:1
Fully supported

Frontu 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

maps to

Pipedrive

Person + Organization

many:1
Fully supported

Frontu 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

maps to

Pipedrive

Deal

1:1
Fully supported

Frontu 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)

maps to

Pipedrive

Deal (custom fields)

1:1
Fully supported

Frontu 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

maps to

Pipedrive

Organization (address fields)

1:1
Fully supported

Frontu 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

maps to

Pipedrive

Custom field on Deal / Organization

1:1
Fully supported

Frontu 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

maps to

Pipedrive

Activity

1:1
Fully supported

Frontu 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

maps to

Pipedrive

File (on Deal / Person)

1:1
Fully supported

Files 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

maps to

Pipedrive

Not migratable

1:1
Fully supported

Frontu'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

maps to

Pipedrive

Custom field on Deal

1:1
Fully supported

Frontu 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.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Pipedrive has no native field-service schema — job data must be force-fit into the Deal object

    Frontu's Job object tracks service requests with scheduling, asset, location, and technician data. Pipedrive has no job or work-order object — Jobs must map to Deals, and the field-service attributes must become Pipedrive custom fields. Pipedrive's Deal object is optimized for sales-close workflows, not service-dispatch tracking. Scheduling windows, asset IDs, and access instructions that live naturally in Frontu require explicit custom field creation in Pipedrive before migration. If your team relies on Frontu's scheduling board for daily dispatch, that workflow has no Pipedrive equivalent and must be rebuilt using Activities, calendar integrations, or a marketplace scheduling tool.

  • Frontu job status values require value-by-value mapping to Pipedrive pipeline stages

    Frontu tracks job lifecycle with status values like Open, Assigned, In Progress, Completed, and Cancelled. Pipedrive stages are pipeline-scoped string values with no universal semantic — a stage named 'Won' in one pipeline means something different from 'Won' in another. Migrating job_status requires mapping each Frontu status value to a specific Pipedrive stage name within each destination pipeline, and the mapping must be validated per pipeline. If Frontu's status values span multiple Pipedrive pipelines (for example, separate pipelines for installation vs. repair), each pipeline's stage set requires its own value-mapping workbook. Pipedrive's API does not expose a 'universal stage' concept — stage IDs are pipeline-specific UUIDs, so the migration tool must resolve the correct stage_id per Deal based on the pipeline assignment.

  • Pipedrive token-based API rate limits require throttling during large migrations

    Pipedrive introduced token-based API rate limits in December 2024 that affect both new and existing accounts. The rate limit tiers vary by Pipedrive plan — higher-tier accounts receive higher daily and per-minute quotas. During a migration with 10,000+ records and multiple API calls per record (custom fields, activities, file uploads), the migration tool must implement request throttling and respect Pipedrive's 429 Too Many Requests responses. Import2's free tier covers up to 1,000,000 records but imposes its own rate constraints. FlitStack AI monitors rate limit headers in real time and backs off automatically, but large Frontu migrations with extensive activity history may extend beyond the typical 48–72 hour window due to throttling.

  • Asset and equipment data has no Pipedrive home and must be stored as custom fields

    Frontu's Asset records (serial number, make, model, service history, warranty dates) serve as the equipment registry for field operations. Pipedrive has no native asset or equipment object — even on Enterprise plans, asset tracking requires custom objects or third-party marketplace apps. During migration, equipment data can be stored as Pipedrive custom fields on the Deal (linking the asset to a specific job) or on the Organization (linking the asset to a customer account). However, Pipedrive's custom fields are limited to the objects they are created on — a single asset referenced across multiple jobs must be duplicated or cross-referenced manually. If asset tracking is a core operational requirement post-migration, a dedicated asset-management tool outside Pipedrive should be evaluated.

  • Scheduling and route planning data cannot migrate and must be rebuilt

    Frontu's scheduling board, technician route assignments, calendar blocks, and time-slot reservations are operational constructs built on the FSM data model. Pipedrive has no native scheduling, dispatch, or route-optimization module. Time-slot data from Frontu's Job records can be stored as Pipedrive Activity due dates, but the scheduling logic (which technician goes where at what time, optimized routing, buffer between jobs) has no equivalent in Pipedrive. If your team uses Frontu for daily technician dispatch, that workflow must be rebuilt using Pipedrive Activities, a third-party scheduling integration, or a separate FSM tool. We can export the scheduling data (job dates, technician assignments, location coordinates) as a reference CSV for your admin to use when rebuilding the schedule in Pipedrive.

Migration approach

Six steps for a successful FRONTU to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Frontu-to-Pipedrive migrations complete in 48–72 hours for under 10,000 records. Larger setups with 50,000+ records or heavy custom property usage extend to 5–10 days. The longest planning step is mapping Frontu's job_status values to Pipedrive pipeline stages and pre-creating Pipedrive custom fields for job_type, priority, asset_id, and other Frontu custom properties. Activity history volume (call logs, job notes) also affects timeline because each activity requires a separate Pipedrive Activity write.

Adjacent paths

Related migrations to explore

Ready when you are

Move from FRONTU.
Land in Pipedrive, intact.

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