CRM migration

Migrate from Fieldproxy to Pipedrive

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

Fieldproxy logo

Fieldproxy

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between Fieldproxy and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldproxy and Pipedrive serve different operational models: Fieldproxy is built around field-service jobs, technician scheduling, and mobile-first task execution, while Pipedrive centers on sales pipelines, deal stages, and activity tracking. The migration challenge is translating Fieldproxy's job records, work-order line items, and technician assignments into Pipedrive's deal model without losing the service-context that drives your operations. We map Fieldproxy contacts to Pipedrive People, companies to Organizations, and active job records to Deals with stage values derived from job status. Technician assignments map to Pipedrive user ownership by email match. Open activities, notes, and attachment URLs migrate to Pipedrive's activity and file stores. Custom Fieldproxy workflows and automation rules do not have a Pipedrive equivalent and must be rebuilt manually or exported as reference documentation. Our migration engine uses Fieldproxy's REST API for structured record extraction and Pipedrive's bulk API for high-volume import, with a delta-pickup window capturing any jobs created or modified during the cutover window.

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

Fieldproxy logo

Fieldproxy

What's pushing teams away

  • G2 reviewers report intermittent technical issues and errors during ticket management, with support response times occasionally delaying urgent resolutions.
  • Documentation coverage is thin — users and migration teams have limited self-service reference material when troubleshooting or scoping data exports.
  • Support responsiveness varies; some reviewers experienced delays when raising non-critical but blocking issues during operational hours.
  • Custom workflow complexity can outpace the platform's ability to surface them clearly, making it harder to audit what automations exist before migrating away.

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 Fieldproxy objects map to Pipedrive

Each row shows how a Fieldproxy 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.

Fieldproxy

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Fieldproxy contacts map directly to Pipedrive People using a one-to-one field correspondence. Core contact fields including email address, phone number, and physical address migrate as-is without transformation. The primary company association from Fieldproxy becomes the Organization link in Pipedrive's Person record, establishing the relationship between contacts and their employer. If a contact record in Fieldproxy has no associated company, it imports as an unlinked Person record in Pipedrive without organizational affiliation.

Fieldproxy

Company

maps to

Pipedrive

Organization

1:1
Fully supported

Fieldproxy companies map to Pipedrive Organizations through a direct field-to-field translation. The company name, domain/website, industry classification, employee count estimate, and address components (street, city, state, zip, country) migrate as standard Organization fields in Pipedrive. Parent-child hierarchical relationships between companies in Fieldproxy are preserved by mapping them to Pipedrive's Owner's organization link or the organization hierarchy feature if that structure exists in your Pipedrive account.

Fieldproxy

Job

maps to

Pipedrive

Deal

1:1
Fully supported

Fieldproxy job records are the core transformation object. Job title becomes Deal name. Job status (scheduled, in-progress, completed, cancelled) maps to Pipedrive Deal stage via a configurable status-to-stage mapping table. Job value or quoted amount maps to Deal value if present.

Fieldproxy

Job Line Item

maps to

Pipedrive

Deal Product

1:1
Fully supported

Fieldproxy job line items (parts, labor) migrate to Pipedrive Deal Products. Each line item becomes a product entry on the Deal. Pricing, quantity, and description carry over. Products must exist in Pipedrive's product catalog first or get created during migration.

Fieldproxy

Technician

maps to

Pipedrive

User

1:1
Fully supported

Fieldproxy technician records map to Pipedrive Users through email address resolution as the primary matching key. Active technicians who are currently working in Fieldproxy become active Users in Pipedrive with full platform access. Inactive or archived technicians from Fieldproxy become Pipedrive Users with inactive status, preserving the historical assignment context for reporting purposes without consuming a paid Pipedrive seat if your admin chooses that configuration.

Fieldproxy

Job Assignment

maps to

Pipedrive

Deal Owner

1:1
Fully supported

The technician assigned to a Fieldproxy job becomes the Owner of the corresponding Pipedrive Deal after migration. Owner resolution relies on email address matching against the existing Pipedrive Users list. Technicians from Fieldproxy whose email addresses do not match any Pipedrive User are flagged in the pre-migration audit and assigned to a configurable fallback owner before the migration run commits to prevent orphaned deals.

Fieldproxy

Activity (Call, Meeting, Task)

maps to

Pipedrive

Activity

1:1
Fully supported

Fieldproxy's activity log entries including call logs, site visit notes, status updates, and internal communications migrate to Pipedrive Activities as a direct record transfer. The activity type in Fieldproxy determines the Pipedrive activity kind (call, meeting, or task). Original creation timestamps and the activity owner's user ID are preserved and populated into Pipedrive's activity record fields during import.

Fieldproxy

Note

maps to

Pipedrive

Note

1:1
Fully supported

Fieldproxy notes attached to jobs, contacts, or companies migrate to Pipedrive Notes with preservation of the attachment relationship. Notes are associated with the corresponding Person, Organization, or Deal record in Pipedrive based on the parent object reference in Fieldproxy. Rich-text formatting exported as HTML from Fieldproxy is preserved in Pipedrive's HTML note format; plain-text fallback applies automatically for notes that contain no formatting markup.

Fieldproxy

Attachment

maps to

Pipedrive

File

1:1
Fully supported

Fieldproxy file attachments including job photos, customer signatures, and invoice PDFs that have accessible URLs are downloaded from Fieldproxy's storage and re-uploaded to Pipedrive Files, then programmatically linked to the parent Deal, Person, or Organization record. Files exceeding Pipedrive's 25MB per-file limit are identified in the pre-migration audit and flagged for manual re-upload or Google Drive integration linking after the migration completes.

Fieldproxy

Custom Field (Job)

maps to

Pipedrive

Custom Field (Deal)

1:1
Fully supported

Fieldproxy custom fields defined on job records, such as service_type, site_location, and equipment_id, require pre-creation as Pipedrive custom deal fields before migration execution. FlitStack analyzes Fieldproxy's custom field definitions including data types and pick-list values, then generates a Pipedrive field creation script that your admin runs to provision the corresponding fields using Pipedrive's REST API or manual field editor.

Fieldproxy

Custom Field (Contact)

maps to

Pipedrive

Custom Field (Person)

1:1
Fully supported

Fieldproxy custom contact fields such as preferred_service_area and contract_type migrate to Pipedrive custom person fields. The mapping handles field type equivalence: pick-list fields become Pipedrive pick-list fields, text fields become text fields, number fields become number fields, and date fields become date fields. Multi-select fields from Fieldproxy that allow multiple chosen values map to Pipedrive's multi-option field type to preserve all selected values.

Fieldproxy

Workflow

maps to

Pipedrive

Not Migrated

1:1
Fully supported

Fieldproxy AI-powered workflows including dispatch rules, scheduling automations, parts replenishment triggers, and customer notification workflows have no direct equivalent in Pipedrive's feature set. These automation definitions must be rebuilt using Pipedrive's Automation builder or exported as JSON definitions for a Pipedrive-certified implementation partner to recreate. FlitStack exports all workflow definitions as JSON reference documentation included in the pre-migration deliverable package.

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.

Fieldproxy logo

Fieldproxy gotchas

High

Custom Workflows do not export as portable definitions

Medium

API rate limits and bulk endpoints not publicly documented

Medium

Spare Parts inventory requires quantity reconciliation

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

  • Fieldproxy jobs have no native Pipedrive deal stage equivalent — status mapping is manual

    Fieldproxy job statuses (scheduled, in-progress, completed, cancelled) are FSM-specific and do not map to Pipedrive's sales deal stages by default. Pipedrive deal stages represent a sales process, not a service workflow. We create a status-to-stage mapping table during planning: 'scheduled' might map to 'Qualification', 'in-progress' to 'Proposal/Price Quote', and 'completed' to 'Closed Won'. Teams with multiple job types (installation, repair, maintenance) need separate mapping rules per job category, which multiplies the planning work. We deliver the mapping table as a pre-migration deliverable so your team validates the stage logic before data lands in Pipedrive.

  • Pipedrive's 40-character hash field keys require custom field pre-creation before import

    Pipedrive custom fields are referenced by auto-generated 40-character hash keys (e.g., d2f10606aa19ea4f7178b8dfe0fd) rather than human-readable field names. When FlitStack imports data into a Pipedrive custom field, we must use that hash key in the API payload. This means custom fields must be created in Pipedrive before migration runs — they cannot be created during import the way some CRMs allow. For migrations with 20+ custom fields across jobs, contacts, and companies, pre-creation adds a setup step. We generate a Pipedrive field creation script from Fieldproxy's custom field definitions so your admin can pre-provision fields in minutes.

  • Fieldproxy technician-to-user mapping requires email resolution for every assignment

    Pipedrive's Deal owner field requires a valid Pipedrive User ID. Fieldproxy technicians are identified by internal IDs and names, not email addresses in all export formats. We match technicians to Pipedrive Users by email — if a Fieldproxy technician record has no email or the email does not match an invited Pipedrive user, the Deal owner defaults to a fallback user. This means Pipedrive Users must be set up before the migration runs. Unmatched technicians are flagged in the pre-migration report so your team can either invite them to Pipedrive or assign a team lead as owner before the full run.

  • Fieldproxy workflows and automation rules have no Pipedrive equivalent — must be rebuilt

    Fieldproxy's AI workflow builder creates dispatch automations, scheduling triggers, parts replenishment rules, and customer notification workflows that operate on job events. Pipedrive's Automation tool handles CRM-level triggers (deal stage changes, activity completions) but has no concept of technician scheduling, GPS-based dispatch, or inventory thresholds. Sequences in Pipedrive handle email drip campaigns but not field-service operational triggers. We export Fieldproxy workflow definitions as JSON for your Pipedrive admin or implementation partner to reference during rebuild. This export is included in the pre-migration deliverable package.

  • Fieldproxy file attachments exceeding 25MB must be re-hosted manually

    Pipedrive's file storage has a 25MB per-file limit. Fieldproxy job attachments — site photos, signed forms, invoice PDFs — may exceed this for some records. Attachments above the limit are identified in the pre-migration audit and flagged for manual re-upload post-migration. For teams with many large attachments, we recommend linking them to Pipedrive's Google Drive integration rather than storing in Pipedrive Files directly. This requires your admin to connect a Google Drive account to Pipedrive before go-live.

Migration approach

Six steps for a successful Fieldproxy to Pipedrive data migration

  1. Audit Fieldproxy data and Pipedrive schema setup

    FlitStack pulls a full export from Fieldproxy via its REST API: contacts, companies, jobs, job line items, activities, notes, and attachments. We profile the data for duplicates, missing required fields, and orphaned records (jobs with no customer). Simultaneously, your Pipedrive admin creates the custom deal and person fields that correspond to Fieldproxy custom fields. We generate the exact field creation script so nothing is missed. This step produces a data quality report and a Pipedrive pre-setup checklist before any migration run executes.

  2. Design job-to-deal stage mapping and owner resolution plan

    We work with your team to define the Pipedrive pipeline and stages that correspond to your Fieldproxy job statuses. If you have multiple job types (installation, repair, warranty), we design separate pipelines or use deal categories for routing. We also resolve the technician-to-user mapping by email, flagging any technicians not yet invited to Pipedrive. The mapping plan covers deal title format, value sourcing, and expected close date logic. This plan is a shared document your team approves before field-level migration begins.

  3. Run sample migration with field-level diff

    A representative sample — typically 100–500 records covering contacts, organizations, jobs, and activities — migrates into your live Pipedrive account. We generate a field-level diff report showing source values against destination values for every mapped field. You review the diff to confirm that job status mapping, custom field population, owner resolution, and activity attachment links meet expectations. We correct any mismatches before the full migration run commits. Sample migration results also validate that Pipedrive's 40-character custom field hash keys were set up correctly.

  4. Execute full migration with delta-pickup window

    All records migrate in dependency order: Organizations first (since People link to them), then People, then Deals with product entries, then Activities and Notes. Attachment URLs are downloaded and re-uploaded to Pipedrive Files. During the cutover window (typically 24–48 hours), any new jobs created or modified in Fieldproxy are captured by a delta-pickup run and appended to Pipedrive before the go-live signal. FlitStack logs every record operation in an audit log. If reconciliation shows gaps, one-click rollback reverts the Pipedrive state to pre-migration and the run can be re-executed after fixes.

  5. Export workflow definitions and deliver post-migration package

    After the migration completes, FlitStack delivers the complete post-migration package: workflow JSON exports from Fieldproxy for your Pipedrive admin to reference during rebuild, a field-mapping summary document, an unmatched-technician resolution list, a large-attachment flagging report for manual re-upload, and a delta-capture summary showing what changed during the cutover window. We schedule a 30-day post-migration support window to address any data discrepancies discovered after go-live.

Platform deep dives

Context on both ends of the pair

Fieldproxy logo

Fieldproxy

Source

Strengths

  • 24-hour deployment with dedicated Solution Consultant — workspace is live and wired to QuickBooks, Stripe, Calendar, and WhatsApp by day one.
  • Unlimited-users pricing model — no per-seat cost escalation as teams grow.
  • YC-backed with 400+ customers, 50K+ technicians, and 99.9% uptime SLA.
  • AI-powered scheduling, task routing, and spare-parts replenishment are built into the platform rather than add-ons.
  • Mobile apps for iOS and Android with offline-first sync for field technicians in low-connectivity areas.

Weaknesses

  • API documentation is not publicly indexed — rate limits, bulk endpoints, and schema details are not available for pre-migration assessment.
  • Custom workflow automations are not exportable and must be manually rebuilt on the destination platform.
  • Documentation quality is a known complaint — limited self-service reference material for technical users and migration teams.
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 Fieldproxy 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

    Fieldproxy: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldproxy 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 Fieldproxy to Pipedrive data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Fieldproxy to Pipedrive migrations complete in 48–72 hours of clock time for under 10,000 records. The longest planning step is designing the job-status-to-deal-stage mapping and pre-creating Pipedrive custom fields. Larger setups with 50,000+ records, multiple job types, or extensive custom field counts extend to 5–7 days. A sample migration with field-level diff is included before the full run commits, adding 1–2 days to the overall timeline but catching mapping errors before they affect all records.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Fieldproxy.
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