CRM migration
Field-level mapping, validation, and rollback between Planado and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Planado
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between Planado and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Planado is a field service management platform built around jobs, tasks, checklists, employee GPS tracking, and location-based scheduling. Pipedrive is a sales CRM organized around People, Organizations, Deals, and Activities — it has no native concept of field workers, route planning, or structured job checklists. When teams move from Planado to Pipedrive, the migration must translate field service records into CRM records: jobs become deals, tasks become linked activities, clients become organizations, and the checklist data that defined quality control in Planado is preserved as Pipedrive custom fields. Employee records map to Pipedrive users so owner assignment is preserved. GPS coordinates and route data have no native Pipedrive equivalent — those are surfaced as custom fields on the deal for reference, not rebuilt. Pipedrive's API uses 40-character hash keys for custom fields, so field creation must happen before data import so FlitStack can capture the correct key for each mapped value. Workflows, scheduling rules, route-optimization logic, and GPS-triggered automations do not migrate — they require a rebuild in Pipedrive's automation engine or a third-party scheduling tool. FlitStack AI sequences the migration so deals are created first, then activities are attached, then custom fields are back-filled from the Planado export, with a 24–48 hour delta window capturing any jobs modified during cutover.
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 Planado 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.
Planado
Client
Pipedrive
Organization
1:1Planado Client records (business name, address, contact person, phone) map directly to Pipedrive Organizations. The primary contact within the Client record can also seed a corresponding Person record in Pipedrive. Multi-site clients with several Locations under one Client may need multiple Organization records in Pipedrive.
Planado
Job
Pipedrive
Deal
1:1Planado Jobs are the core work-order record — they contain a client link, an assigned employee, a location, a scheduled date, a status, a checklist, and notes. In Pipedrive, the Job maps to a Deal with the client as the Organization link, the employee as the Deal owner, the description as the Deal title, and the job status translated to a Pipedrive stage value. Checklist data and GPS coordinates are stored as custom fields on the Deal.
Planado
Task
Pipedrive
Activity
1:1Planado Tasks (sub-units of a Job — e.g., inspection step, installation step, cleanup step) map to Pipedrive Activities of type task. Each Task's subject, description, status, and timestamps migrate as Activity fields. Complex tasks with attachments link those files to the Activity as notes.
Planado
Checklist
Pipedrive
Custom Field (Deal)
1:1Planado checklists are structured per-job — each item has a label, a completion status, and a timestamp by worker. Pipedrive has no native checklist object. FlitStack serializes the checklist into a custom field (Checklist_JSON__c or a formatted text field) and optionally creates a linked Note on the Deal with the checklist rendered as a table for agent readability.
Planado
Location
Pipedrive
Organization (address) + Custom Fields
1:1Planado Locations store a named site with address, lat/lng coordinates, and a link to a Client. Each Location becomes a separate Organization record in Pipedrive with the address populated and lat/lng stored as custom number fields (Latitude__c, Longitude__c). If multiple workers visit the same site repeatedly, the Organization record captures the site-level view.
Planado
Employee
Pipedrive
User
1:1Planado Employee records include name, email, phone, mobile app credentials, and shift assignments. Resolution is by email match to Pipedrive users. Employees who are field workers only (no deal ownership) may be migrated as inactive Pipedrive users or kept as a custom field on the Deal for reference — they do not need full CRM user licenses if they do not manage deals.
Planado
Job Status
Pipedrive
Deal Stage
1:1Planado job statuses (open, in_progress, completed, cancelled, on_hold) map value-by-value to Pipedrive deal stages. The mapping plan defines which Planado status corresponds to which Pipedrive stage name and probability value. Teams with custom Planado workflow statuses create a full value map before migration.
Planado
Attachment / File
Pipedrive
Note / Activity Attachment
1:1Planado file attachments on Jobs, Tasks, or Checklists are downloaded and re‑uploaded as Pipedrive Notes with the file attached. Pipedrive's file size limit is 50 MB per file. Files exceeding this threshold are flagged for manual handling or transferred via an alternative method. The migration audit log records each transferred file for traceability.
Planado
Job Note
Pipedrive
Deal Note
1:1Free-form notes on Planado Jobs migrate as Pipedrive Notes attached to the corresponding Deal. Original creation timestamps and author information are preserved in the Note record. Timestamps are stored as custom datetime fields on the Note for audit continuity. These notes are searchable within Pipedrive and can be used for reporting and follow‑up planning.
Planado
Planado User / Admin
Pipedrive
User
1:1Planado users with admin or manager roles who will manage Pipedrive deals are matched by email to Pipedrive users. The migration flags any Planado user without an email match for manual Pipedrive user creation before the data run so no records land unowned.
Planado
Custom Job Property
Pipedrive
Custom Field (Deal)
1:1Planado custom properties on Jobs (e.g., work type, permit number, insurance reference, materials used) require pre-creation in Pipedrive as custom deal fields. Each custom property is created in Pipedrive first, and the resulting hash key is captured for the field mapping. Value types (text, number, date, picklist) are matched to Pipedrive field types.
Planado
Scheduling / Route Data
Pipedrive
Custom Field (Deal)
1:1Planado's scheduling windows, route order, and GPS breadcrumb data have no Pipedrive equivalent. These are preserved as read-only custom text fields on the Deal for reference (e.g., 'Original_Schedule_Window__c') but cannot be natively rebuilt in Pipedrive's UI. Rebuild of scheduling logic requires an external scheduling tool.
| Planado | Pipedrive | Compatibility | |
|---|---|---|---|
| Client | Organization1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Task | Activity1:1 | Fully supported | |
| Checklist | Custom Field (Deal)1:1 | Fully supported | |
| Location | Organization (address) + Custom Fields1:1 | Fully supported | |
| Employee | User1:1 | Fully supported | |
| Job Status | Deal Stage1:1 | Fully supported | |
| Attachment / File | Note / Activity Attachment1:1 | Fully supported | |
| Job Note | Deal Note1:1 | Fully supported | |
| Planado User / Admin | User1:1 | Fully supported | |
| Custom Job Property | Custom Field (Deal)1:1 | Fully supported | |
| Scheduling / Route Data | Custom Field (Deal)1:1 | 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.
Planado gotchas
No public bulk export endpoint for full data migration
Pricing not publicly documented
Custom checklist step media attachments require separate file handling
Zapier integration scope creates automation dependency risk
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 Planado data model and create Pipedrive custom fields
FlitStack extracts a full inventory of Planado objects, custom properties, checklist templates, and employee records via the Planado API. We compare the Planado data model against Pipedrive's object structure and identify every custom field needed on Deals, Organizations, Activities, and Users. You create these fields in Pipedrive first — using the exact field labels from our pre-creation checklist — so we can capture the hash keys Pipedrive's API requires before the migration run begins. This step also resolves the employee-to-user mapping: Planado employees without email addresses are flagged for manual Pipedrive user creation.
Migrate Organizations and Locations before Deals
Pipedrive requires Organizations to exist before Deals can link to them via org_id, and Deals to exist before Activities can attach via deal_id. FlitStack sequences the migration in dependency order: Locations → Organizations, then Employees → Users, then Jobs → Deals with client and owner lookups resolved, then Tasks → Activities. Circular references (location linked to client linked to location) are flagged and de-duplicated before the run. This sequencing ensures every foreign key resolves correctly on the first pass.
Serialize checklists and attach them to Deals
Planado checklist data — structured per-job with item labels, completion statuses, and timestamps — is serialized into a custom field (Checklist_JSON__c) on each Deal during the migration. A formatted Note is also attached to the Deal rendering the checklist as a readable table. GPS coordinates, route assignments, and custom Planado properties (work type, permit numbers, materials used) are mapped to their pre-created Pipedrive custom fields at this stage. Every field mapping is logged in the migration audit trail.
Run a sample migration with field-level diff
A representative slice — typically 100–300 records spanning jobs, tasks, clients, locations, and checklist records — migrates first. FlitStack generates a field-level diff comparing each source record against the destination record so you can verify checklist serialization, stage mapping, owner resolution, and custom field population before the full run commits. Any mapping errors are corrected in the migration plan and the sample re-runs. This step typically takes 2–4 hours.
Execute full migration with delta-pickup window
The full dataset migrates in API batched runs, with FlitStack monitoring Pipedrive rate-limit responses to adjust pacing dynamically. A delta-pickup window of 24–48 hours runs after the main migration to capture any Planado jobs or tasks modified during the cutover window. Every operation is logged in the FlitStack audit trail. If reconciliation fails — missing records, owner resolution gaps, or checklist data gaps — one-click rollback reverts the Pipedrive state to pre-migration and the issue is corrected before a re-run.
Platform deep dives
Planado
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 Planado 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
Planado: Not publicly documented as a hard ceiling. Planado offers to add additional API endpoints free of charge for integration needs that exceed standard scope..
Data volume sensitivity
Planado 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 Planado to Pipedrive migration scoping. Not seeing yours? Book a call.
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