CRM migration
Field-level mapping, validation, and rollback between FieldPro and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
FieldPro
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between FieldPro and Pipedrive.
Complexity
BStandard
Timeline
24–48 hours
Overview
FieldPro is a field service management platform built around field force monitoring, route optimization, and retail audit workflows. Pipedrive is a sales CRM organized around People, Organizations, Deals, and Activities. The migration maps FieldPro locations to Pipedrive Organizations, field visits to Pipedrive Activities linked to Deals, and orders to Pipedrive Deals. Custom properties from FieldPro migrate as Pipedrive custom fields on the matching entity. Agent resolution happens via email match against Pipedrive users. We do not migrate FieldPro workflows, route configurations, or integrations — those are destination-side configurations. The migration uses API extraction from FieldPro, transformation logic for field-service-to-CRM schema alignment, and bulk API import into Pipedrive. Each visit generates an Activity record; each order generates a Deal record linked to the Activity. FieldPro labels require manual recreation in Pipedrive after migration. Throughout the process, data integrity checks verify that all records transfer with their original IDs preserved, timestamps maintained, and relationships intact across the new CRM structure.
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 Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
FieldPro
Location
Pipedrive
Organization
1:1FieldPro locations map to Pipedrive Organizations. The location name becomes the organization name, full address maps to Pipedrive address fields, and GPS latitude/longitude are preserved as a custom field on the organization record for reference. Location status (active/inactive) maps to Pipedrive visibility group assignment.
FieldPro
Location
Pipedrive
Organization Custom Field
1:1FieldPro location type (retailer, distributor, outlet) has no direct Pipedrive equivalent. We create a Pipedrive custom field of type picklist on Organizations and populate it with the original location type values. The picklist options are created in Pipedrive before migration runs.
FieldPro
Contact
Pipedrive
Person
1:1FieldPro contacts at a location map to Pipedrive People. The contact name, email address, phone number, and job title map directly to Pipedrive person fields. Each Person is linked to its parent Organization (the FieldPro location) via the org_id field in Pipedrive.
FieldPro
Contact
Pipedrive
Person Custom Field
1:1FieldPro contact role (store manager, buyer, technician) has no Pipedrive equivalent. We create a Person-level custom field of type varchar to store the original contact role. This field is populated during migration and can be used for segmentation in Pipedrive.
FieldPro
Visit
Pipedrive
Activity
1:1Each FieldPro visit becomes a Pipedrive Activity record of type meeting. The visit start time maps to the Activity start timestamp, visit duration in minutes is stored as a custom field, and the agent who conducted the visit is resolved by email match to a Pipedrive user and assigned as the Activity owner.
FieldPro
Visit
Pipedrive
Deal
1:1FieldPro visits that include an order generate a Pipedrive Deal record. The deal name uses the format 'Visit - [Location Name] - [Date]'. The order value from FieldPro maps to the deal's monetary value in Pipedrive. The Activity and Deal are linked via Pipedrive's activity reference field so teams can see the original visit from within the deal record.
FieldPro
Order
Pipedrive
Deal
1:1FieldPro orders map directly to Pipedrive Deals. The order number becomes the deal name prefix, order value becomes the deal value, and order status (pending, confirmed, fulfilled) maps to Pipedrive deal stage. The associated FieldPro location maps to the Pipedrive Organization linked to the Deal.
FieldPro
Order
Pipedrive
Deal Custom Field
1:1FieldPro order type (new, reorder, sample) has no Pipedrive standard field. We create a deal-level custom field of type varchar to store the original order type. FieldPro order reference numbers are stored as a second deal custom field for traceability.
FieldPro
Agent
Pipedrive
User
1:1FieldPro field agents are resolved by email match against Pipedrive users. Matched agents are assigned as owners on their respective Activity and Deal records in Pipedrive. Agents without a matching Pipedrive user are flagged before migration, and a fallback assignment is applied per migration plan.
FieldPro
Label
Pipedrive
No equivalent
1:1FieldPro supports labels on locations, visits, and orders. Pipedrive has a separate Labels feature that exists per entity type independently. We preserve the label names as a custom field on each entity for reference. Full label recreation in Pipedrive's label system must be done manually after migration.
FieldPro
Custom Property (Location)
Pipedrive
Organization Custom Field
1:1FieldPro custom properties defined on the Location object are created as Pipedrive Organization custom fields before migration. Field type mapping follows: text properties become varchar, numeric properties become number, date properties become date, and picklist properties become Pipedrive picklist fields.
FieldPro
Custom Property (Visit)
Pipedrive
Activity Custom Field
1:1FieldPro custom properties recorded on visits are created as Pipedrive Activity custom fields. This preserves any structured data your team captured during visits — such as stock levels, competitor presence, or compliance check results — as searchable fields in Pipedrive.
| FieldPro | Pipedrive | Compatibility | |
|---|---|---|---|
| Location | Organization1:1 | Fully supported | |
| Location | Organization Custom Field1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Contact | Person Custom Field1:1 | Fully supported | |
| Visit | Activity1:1 | Fully supported | |
| Visit | Deal1:1 | Fully supported | |
| Order | Deal1:1 | Fully supported | |
| Order | Deal Custom Field1:1 | Fully supported | |
| Agent | User1:1 | Fully supported | |
| Label | No equivalent1:1 | Fully supported | |
| Custom Property (Location) | Organization Custom Field1:1 | Fully supported | |
| Custom Property (Visit) | Activity Custom Field1:1 | 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
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
Audit FieldPro data model and export API endpoints
FlitStack AI connects to FieldPro via API to inventory all locations, contacts, visits, orders, agents, and custom properties. We document the field types, picklist values, and relationship keys in FieldPro's data model. This audit identifies any fields that have no direct Pipedrive equivalent and flags them for custom field creation planning. The audit output includes a record count per entity type, a list of active vs. inactive records, and a count of custom properties per entity.
Create Pipedrive custom fields and configure pipeline stages
Before any data is written to Pipedrive, we create all required custom fields on Organizations, People, Activities, and Deals based on the FieldPro custom property inventory. We also configure the Pipedrive pipeline stage mapping: FieldPro order statuses are mapped to Pipedrive deal stage names in your specified pipeline. The migration tool validates that each custom field key (Pipedrive's 40-character hash) is correctly captured for subsequent mapping. Pipedrive's API requires custom fields to exist before data can be written to them — this ordering is enforced by the migration tool.
Resolve FieldPro agents to Pipedrive users by email
FieldPro agents are matched to Pipedrive users by email address. FlitStack generates a resolution report listing matched agents (email found in Pipedrive), unmatched agents (no Pipedrive user with that email), and a recommended fallback owner for each unmatched agent. Your team reviews and approves the resolution report before migration runs. Pipedrive users who will own records must be active in Pipedrive at the time of migration — deprovisioned users cannot be assigned as record owners.
Run sample migration with field-level diff across all entity types
A representative sample of records (typically 100–500 per entity type) migrates first. We validate the Organization name and address mapping, Person name concatenation and email linking, Activity timestamp and owner assignment, Deal value and stage mapping, and custom field population. The field-level diff report shows every source field value and its destination field value so you can verify transformation logic before the full migration commits. Any mapping corrections are applied before the production run.
Execute full migration with delta-pickup window and audit logging
The full migration runs in sequence: Organizations first (to satisfy foreign key dependencies), then People (linked to Organizations), then Deals (linked to Organizations and optionally to Activities), then Activities (linked to Organizations and Deals). A delta-pickup window of 24–48 hours after the main migration run captures any FieldPro records modified during the cutover period. FlitStack writes an audit log for every record operation including source ID, destination ID, field mappings applied, and timestamp. One-click rollback is available if reconciliation fails.
Platform deep dives
FieldPro
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 FieldPro 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
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 Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your FieldPro to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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