CRM migration

Migrate from FieldPro to Pipedrive

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

FieldPro logo

FieldPro

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between FieldPro and Pipedrive.

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

FieldPro logo

FieldPro

What's pushing teams away

  • The platform's primary language is English, which creates friction for multinational distributors operating field teams in non-English-speaking markets.
  • Quarterly billing with a 10-user minimum means smaller teams pay for capacity they may not fully utilize, especially during off-peak seasons.
  • Documentation quality is inconsistent — advanced features like Detect image metadata and conditional field logic are not thoroughly documented publicly.
  • Integration costs are front-loaded: ERP sync setup runs €2,000 with €200/month ongoing, making the total cost of ownership significantly higher than the base per-user price.
  • Bugs and UI inconsistencies in the web dashboard are cited as ongoing maintenance burdens, requiring workarounds that disrupt reporting workflows.

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 FieldPro objects map to Pipedrive

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

maps to

Pipedrive

Organization

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Organization Custom Field

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Person

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Person Custom Field

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Activity

1:1
Fully supported

Each 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

maps to

Pipedrive

Deal

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Deal

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

Deal Custom Field

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

User

1:1
Fully supported

FieldPro 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

maps to

Pipedrive

No equivalent

1:1
Fully supported

FieldPro 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)

maps to

Pipedrive

Organization Custom Field

1:1
Fully supported

FieldPro 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)

maps to

Pipedrive

Activity Custom Field

1:1
Fully supported

FieldPro 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.

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.

FieldPro logo

FieldPro gotchas

High

Quarterly billing minimum masks true cost

High

License count is tied to all active mobile users

Medium

Detect module image metadata is separate from image files

Medium

ERP integrations must be rebuilt on the destination platform

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

  • FieldPro visit-to-Pipedrive-Activity transformation requires Activity-Deal linking logic

    FieldPro stores visits as discrete records with duration, agent, and location attribution. Pipedrive Activities do not natively carry monetary values. We create a Pipedrive Deal for each visit that generated an order, then link the Activity to the Deal using Pipedrive's activity reference field. This two-record pattern preserves the full visit context (timestamp, agent, duration) while giving teams a Deal with the order value for pipeline reporting. The migration plan must define which visit types generate Deals versus Activities-only, and this logic must be validated during the sample migration phase before the full run.

  • FieldPro labels have no direct Pipedrive equivalent and require manual post-migration recreation

    FieldPro supports entity-specific labels on locations, visits, and orders for categorization and filtering. Pipedrive has a separate Labels feature that exists per entity type and is not linked to custom fields. We preserve label names as a custom field on each entity during migration so the data is not lost. However, Pipedrive's native label filtering and visual label-based views must be rebuilt manually after migration. This is a manual configuration step that is excluded from FlitStack's migration scope and must be accounted for in your post-migration planning.

  • Pipedrive API rate limits require batching during large-volume migrations

    Pipedrive enforces token-based rate limits of 500 requests per minute per API token as of December 2024. For migrations involving 20,000+ records across locations, contacts, visits, and orders, FlitStack implements request batching with exponential backoff to stay within Pipedrive's rate ceiling. If your Pipedrive account uses a token shared with other integrations, those integrations may experience temporary API throttling during the migration window. We recommend creating a dedicated migration API token in Pipedrive before the migration run to isolate this impact.

  • FieldPro custom properties require Pipedrive custom field pre-creation before data import

    Pipedrive requires custom fields to exist in the account before data can be written to them via the API. FieldPro custom properties on locations, visits, and orders must be translated into Pipedrive custom field definitions (with correct field types: varchar, number, date, picklist) before the migration writes any records. FlitStack delivers a custom field creation plan as part of the migration blueprint. Pipedrive's custom field key is a system-generated 40-character hash, not the display name — our migration tool uses the key for mapping, which is validated during the sample migration phase.

  • Agent-to-User owner resolution may leave unmatched agents requiring fallback assignment

    FieldPro field agents are mapped to Pipedrive users by email address match. Pipedrive users must exist in the account before deals and activities can be assigned to them. Agents without a corresponding Pipedrive user account are flagged in the migration plan with a recommended fallback owner (typically the account admin or a designated migration owner). If your team has many FieldPro agents who will not become Pipedrive users, their historical visit and order records will be assigned to the fallback owner in Pipedrive. This is disclosed during the planning phase so your team can decide whether to provision Pipedrive accounts for all agents before migration.

Migration approach

Six steps for a successful FieldPro to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

FieldPro logo

FieldPro

Source

Strengths

  • Modular licensing (Core, Detect, Direct, AI) scales with operational complexity rather than forcing full-stack adoption.
  • Real-time field-to-office data flow reduces the lag between field activity and management reporting.
  • Deployment packages (Basic through Enterprise) provide structured onboarding paths for teams of different sizes.
  • GPS-tagged Visit and Outlet data gives a clean spatial record for distributor territory planning.

Weaknesses

  • Quarterly billing with minimum seat counts creates upfront commitment that mid-size distributors find difficult to adjust mid-contract.
  • English-only documentation and interface limit adoption in non-English-speaking field markets.
  • ERP integration setup carries significant one-time cost (€2,000 setup) that is not transparent in headline per-user pricing.
  • UI bugs and dashboard redesign needs generate support tickets that slow day-to-day operational use.
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 FieldPro 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

    FieldPro: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FieldPro 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 FieldPro to Pipedrive data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most FieldPro-to-Pipedrive migrations complete in 24–48 hours of clock time for under 5,000 total records across locations, contacts, visits, and orders. Larger migrations with 50,000+ records or extensive custom property conversion extend to 5–7 days. The longest single step is typically the Pipedrive custom field pre-creation and the sample migration validation phase, which together account for 1–2 days before the production run begins.

Adjacent paths

Related migrations to explore

Ready when you are

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