CRM migration

Migrate from Fieldy to Pipedrive

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

Fieldy logo

Fieldy

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

10 of 10

objects map 1:1 between Fieldy and Pipedrive.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldy is a field-service management platform built around Jobs, Customers, Staff, and Work Orders — an object model optimized for dispatch, technician tracking, and service delivery. Pipedrive is a sales CRM built around Persons, Organizations, Deals, and Activities — an object model optimized for pipeline management, lead conversion, and sales reporting. These different orientations mean the migration is a data-model translation, not a simple record copy. We export Fieldy jobs as Pipedrive deals, customers as persons and organizations, line items as products, and service-visit activities as tasks. Pipedrive has no native work-order or field-dispatch object, so Fieldy job status maps to Pipedrive deal stage via a value-by-value translation table, job priority becomes a custom pick-list field, and service-type metadata becomes a custom text field. Original job-create dates and owner assignments are preserved as custom datetime and user-lookup fields. Workflows, automation rules, dispatch logic, and route-optimization settings in Fieldy have no Pipedrive equivalent — these are exported as a structured reference document for your team to rebuild in Pipedrive's automation builder. The migration runs through Pipedrive's REST API using batched upsert operations, with a delta-pickup window capturing any records modified 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

Fieldy logo

Fieldy

What's pushing teams away

  • Lack of API documentation or public bulk export endpoint makes data portability a manual, error-prone process that frustrates teams with large historical records.
  • Limited third-party integration ecosystem compared to established FSM platforms, creating friction for businesses relying on accounting or ERP connections.
  • The white-label offering referenced in reviews suggests feature limitations that become apparent as businesses scale beyond basic field service needs.

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 Fieldy objects map to Pipedrive

Each row shows how a Fieldy 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.

Fieldy

Customer

maps to

Pipedrive

Person + Organization

1:1
Fully supported

Fieldy stores each customer contact as a flat record with company details embedded. We split these into a Pipedrive Person record (name, email, phone, title) and an Organization record (company name, domain, address). The organization is created first so the person can link via the org_id field on import.

Fieldy

Job

maps to

Pipedrive

Deal

1:1
Fully supported

Fieldy Jobs map to Pipedrive Deals as the primary migration object. Each job carries customer, staff, location, status, priority, and line items. In Pipedrive the deal holds the work summary, linked person, and linked organization, with custom fields capturing the FSM-specific metadata that Pipedrive's native schema does not cover.

Fieldy

Job Status

maps to

Pipedrive

Deal Stage

1:1
Fully supported

Fieldy job lifecycle states — Scheduled, In Progress, On Hold, Completed, Cancelled — map value-by-value to Pipedrive deal stages. We match the source status labels to existing Pipedrive stage names or create new stages that mirror Fieldy's workflow, preserving the original transition sequence for reporting continuity.

Fieldy

Job Priority

maps to

Pipedrive

Custom Pick-list Field

1:1
Fully supported

Fieldy job priority (Low, Medium, High, Urgent) has no native Pipedrive equivalent. We create a Priority__c custom field on the Deal object and populate it from Fieldy's priority value. This field is visible on the deal detail view and usable in Pipedrive filters and automation conditions.

Fieldy

Work Order Line Item / Product

maps to

Pipedrive

Product + Deal Product

1:1
Fully supported

Fieldy work-order line items — parts, labor, service fees — migrate as Pipedrive Products. Each product carries name, code, pricing, and currency. During deal migration, products are attached to the deal via the deal_product association so the deal view shows the full service itemization.

Fieldy

Staff / Technician

maps to

Pipedrive

User

1:1
Fully supported

Fieldy Staff records represent field technicians and dispatchers. We resolve staff by email against Pipedrive users and assign migrated records to the matched owner. Unmatched staff are flagged as a pre-migration action — either invite them to Pipedrive first or assign their jobs to a fallback owner.

Fieldy

Job Activity / Site Visit

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

Fieldy site visits, service appointments, and scheduled activities migrate as Pipedrive Activities (Task type). Each activity records the subject, due date, assigned user, and linked deal. Original visit timestamps and duration data are preserved in the activity notes field for service-history continuity.

Fieldy

Job Notes / Description

maps to

Pipedrive

Deal Note

1:1
Fully supported

Fieldy job descriptions and internal notes are written to Pipedrive Deal Notes. Notes preserve the original text, author (where resolvable), and creation timestamp. Rich-text formatting from Fieldy is flattened to plain text to ensure clean rendering in Pipedrive's note format.

Fieldy

Job Location / Address

maps to

Pipedrive

Custom Fields on Deal + Organization

1:1
Fully supported

Fieldy stores the job site address separately from the customer address. The service-site address is preserved as a custom text field on the Pipedrive Deal. The customer address remains on the Organization record. If Fieldy stores GPS coordinates, these migrate to a custom lat-long text field for reference.

Fieldy

Route / GPS / Dispatch Data

maps to

Pipedrive

Custom Fields (Historical Reference Only)

1:1
Fully supported

Fieldy's live dispatch board, GPS technician location, and route-optimization data have no Pipedrive equivalent. Historical location snapshots can be written to custom datetime-stamped text fields on the deal as an audit record, but the real-time dispatch board cannot be migrated. Organizations relying on Fieldy's field-service operations need to evaluate whether Pipedrive's task management is sufficient for their coordination needs.

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.

Fieldy logo

Fieldy gotchas

High

No documented public API or bulk export endpoint

Medium

Custom workflow automations do not export as portable rules

Low

Pricing tiers and per-user limits not publicly confirmed

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 custom field hash keys differ per account

    Pipedrive assigns each custom field a unique 40-character hash key that is different for every Pipedrive account — the same field name in two different Pipedrive instances produces different key values. Migration scripts that hardcode field keys will silently fail when run against the destination account. We resolve this by querying /dealFields and /personFields from the live destination account via the Pipedrive API before writing any record, then mapping source field names to the resolved destination hash keys dynamically during the migration run.

  • Pipedrive API rate limiting can extend migration windows significantly

    Pipedrive enforces token-based API rate limits that cap requests per minute depending on the plan tier — effective December 2024 for new accounts. For large Fieldy datasets of 50,000+ records, these limits can add several hours to the migration clock beyond raw transfer time. We handle this with adaptive batch sizing, exponential backoff, and a migration clock that tracks accumulated rate-limit wait time to give accurate completion estimates before the run commits.

  • Fieldy automation rules have no Pipedrive equivalent — must rebuild manually

    Fieldy job-assignment rules, dispatch conditions, and stage-triggered customer notifications are workflow logic stored inside Fieldy's FSM engine. Pipedrive's automation builder covers task routing and deal-stage conditions but lacks equivalents for FSM dispatch logic, technician-assignment rules, or SLA-timer triggers that field-service teams depend on. We export Fieldy's automation definitions as a structured reference document and provide a rebuild guide for Pipedrive's automation builder. This step is manual and scoped outside the base data-migration price, so it should be planned alongside the data migration to avoid post-migration surprises.

  • GPS and real-time dispatch data cannot be migrated to Pipedrive

    Fieldy's real-time dispatch board, GPS technician location coordinates, and route-optimization data have no equivalent object in Pipedrive's CRM data model. Historical location snapshots can be written to custom datetime-stamped text fields on the deal record as an audit reference, but Pipedrive has no mechanism for displaying or acting on technician location data. Organizations that rely on Fieldy's live field-dispatch capability need to evaluate whether Pipedrive's task and activity features meet their service-coordination requirements before committing to the migration.

Migration approach

Six steps for a successful Fieldy to Pipedrive data migration

  1. Audit Fieldy data export and scope the migration map

    We connect to Fieldy via scoped read-only API access and export all active jobs, customers, staff, line items, and activities. We audit record counts, identify custom field usage, and map Fieldy's job-status values to Pipedrive deal stages using a value-by-value translation table. This step produces the field-level mapping document and a pre-flight report flagging any owner-resolution gaps before migration runs.

  2. Configure Pipedrive pipelines, stages, and custom fields

    Before data lands, we create Pipedrive pipelines and stages that mirror Fieldy's job workflow states, set up custom fields for work type, job priority, GPS snapshot, and original job dates, and define activity types for site visits and service inspections. We also resolve Fieldy technician emails against existing Pipedrive users, flagging any unmatched owners for your team to invite or reassign before the migration begins.

  3. Run a sample migration and generate a field-level diff

    We run a representative sample — typically 100–500 records spanning jobs across different statuses, priority levels, and staff assignments — and generate a field-level diff comparing source values to destination values. You verify job-to-deal mapping, stage translation, owner resolution, and line-item association before the full run commits. Any mapping corrections are fed back into the migration configuration before the production run.

  4. Execute full migration with delta-pickup window

    The full dataset migrates via Pipedrive's REST API using batched upsert operations. A delta-pickup window of 24–48 hours runs after the main migration to capture any jobs modified or created in Fieldy during the cutover. Pipedrive rate-limit backoff logic keeps the migration within API constraints. Audit log captures every record operation with source ID, destination ID, and field-level change summary.

  5. Reconcile and deliver the automation rebuild reference

    We run a reconciliation report comparing source record counts and field totals against the FlitStack audit log and Pipedrive destination records. We deliver the automation reference document listing Fieldy workflow rules, dispatch triggers, and notification logic as a structured guide for rebuilding in Pipedrive's automation builder. One-click rollback reverts the destination to the pre-migration state if reconciliation finds critical discrepancies.

Platform deep dives

Context on both ends of the pair

Fieldy logo

Fieldy

Source

Strengths

  • Per-user pricing model that is budget-friendly for growing field service businesses, according to Fieldy's own positioning.
  • Real-time live location tracking for field technicians with scheduling and dispatch automation built in.
  • All-in-one quote-to-payment workflow consolidates what many SMBs manage across multiple disconnected tools.
  • Mobile and web access for field reps with instant onboarding and no mandatory credit card to start a trial.
  • Customizable workflows, checklists, forms, and notifications for 25+ industry verticals.

Weaknesses

  • No publicly documented API or bulk export endpoint, making data portability a manual process.
  • Limited integration ecosystem compared to larger FSM competitors like ServiceTitan or Jobber.
  • Feature set oriented toward small-to-mid businesses; white-label limitations become apparent at scale.
  • No third-party review presence beyond a single G2 review and a 3.3-star Capterra rating, suggesting limited enterprise adoption or market penetration.
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 Fieldy 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

    Fieldy: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldy 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 Fieldy to Pipedrive data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Fieldy-to-Pipedrive migrations complete in 24–72 hours of clock time for datasets under 50,000 records with standard job fields and one pipeline. Setups with 100+ custom properties, multiple price-tier products, or technician-to-user resolution across large staff lists extend to 5–10 days. Pipedrive's API rate limits (token-based as of December 2024) are factored into the timeline estimate before the run starts.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Fieldy.
Land in Pipedrive, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day