CRM migration
Field-level mapping, validation, and rollback between FastTrack and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
FastTrack
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between FastTrack and Pipedrive.
Complexity
BStandard
Timeline
24–48 hours
Overview
FastTrack CRM stores contacts, companies, deals, activities, and custom properties in a structure that parallels Pipedrive's People, Organizations, and Deals model. The migration carries everything FastTrack stores natively into Pipedrive, including custom fields, activity history, and product attachments. The primary migration mechanism is API-based extraction from FastTrack followed by Pipedrive's REST API v1/v2 import with bulk operations where record counts warrant it. FastTrack workflows, automations, and sequence logic do not transfer — those require rebuild in Pipedrive's automation builder. Pipedrive's token-based API rate limits (introduced December 2024) require adaptive throttling during extraction to avoid 429 errors. Owner resolution uses email matching against Pipedrive users, and unmatched owners get flagged for admin assignment. A 24–48 hour delta-pickup window captures any records modified during the cutover window, ensuring Pipedrive reflects the final FastTrack state at go-live. We deliver a sample migration with field-level diff before the full run commits, so you can verify mapping accuracy before production data lands.
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 FastTrack 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.
FastTrack
Person
Pipedrive
Person
1:1FastTrack Person records map directly to Pipedrive People. The Person's primary company link resolves to a Pipedrive Organization lookup — if no matching Organization exists, FlitStack creates a placeholder or maps to a configurable default. Custom properties on Person migrate to Pipedrive custom fields on the Person entity.
FastTrack
Company
Pipedrive
Organization
1:1FastTrack Company maps to Pipedrive Organization. Parent-company hierarchies in FastTrack translate to the Parent Organization field in Pipedrive. FastTrack company domains, industry classifications, employee counts, and annual revenue map to equivalent Pipedrive Organization fields. Custom company properties migrate as custom fields on the Organization.
FastTrack
Deal
Pipedrive
Deal
1:1FastTrack Deal records map to Pipedrive Deals with stage, value, expected close date, and owner preserved. Pipedrive requires Deals to be associated with a Pipeline — FlitStack maps FastTrack pipeline assignment to a corresponding Pipedrive Pipeline (creating it if absent). Stage names translate via a value-mapping table per pipeline.
FastTrack
Pipeline
Pipedrive
Pipeline
1:1FastTrack Pipeline maps 1:1 to Pipedrive Pipeline. Each FastTrack pipeline stage becomes a Pipedrive stage within the mapped pipeline. Stage order, probability, and rotten days settings transfer. Pipedrive's per-stage probability replaces FastTrack's optional probability field if present. Stage names and ordering are preserved to maintain consistent pipeline visualization in Pipedrive's Kanban view.
FastTrack
Activity (Call)
Pipedrive
Activity (Call)
1:1FastTrack call activities map to Pipedrive Activities with type='call'. Original call duration, outcome, and owner attribution preserve as activity metadata. Call subjects and notes attach to the parent Person or Deal record in Pipedrive. The marked-as-done status reflects FastTrack's call completion state. Call direction (inbound/outbound) maps via a custom field if tracked in FastTrack.
FastTrack
Activity (Email)
Pipedrive
Activity (Email)
1:1FastTrack email activities map to Pipedrive Activities with type='email'. Email subjects, bodies, and timestamps preserve. Pipedrive stores email body as text — HTML email content from FastTrack gets stripped to plain text during migration. Email attachments migrate separately as Pipedrive Files attached to the activity record.
FastTrack
Activity (Meeting)
Pipedrive
Activity (Meeting)
1:1FastTrack meeting activities map to Pipedrive Activities with type='meeting'. Original start/end timestamps, location, and meeting title transfer. FlitStack associates meeting activities with the relevant Person and Deal records based on FastTrack's association data. Meeting participants from FastTrack create Person-Activity links in Pipedrive.
FastTrack
Activity (Note)
Pipedrive
Note
1:1FastTrack notes migrate as Pipedrive Notes attached to the relevant entity (Person, Organization, or Deal). Rich-text formatting in FastTrack notes converts to Pipedrive's plain-text note format. Note create dates preserve as Pipedrive's creation timestamp. Any embedded file references in FastTrack notes create Pipedrive file attachments on the same parent entity.
FastTrack
Product
Pipedrive
Product
1:1FastTrack products map to Pipedrive Products with name, code, unit price, and description. Product images and file attachments re-upload to Pipedrive Files. Pipedrive Products can be linked to Deals via deal products — FlitStack reconstructs this linkage from FastTrack's deal-product associations.
FastTrack
Custom Object
Pipedrive
Custom Object
1:1FastTrack custom objects with their own fields map to Pipedrive Products or become custom field sets on existing entities depending on structure. Pipedrive has no native custom object equivalent to Salesforce or HubSpot — FlitStack maps FastTrack custom object records to Pipedrive Products plus custom fields, or flags for manual decision where no clean mapping exists.
FastTrack
User / Owner
Pipedrive
User
1:1FastTrack user records resolve to Pipedrive users by email address match. FlitStack builds a user lookup table before migration. Unmatched FastTrack owners get flagged — you can assign them to a fallback Pipedrive user or invite them before the migration runs.
FastTrack
Attachment / File
Pipedrive
File
1:1FastTrack file attachments on records re-upload to Pipedrive Files attached to the same parent entity. Pipedrive enforces file size limits per plan tier (typically 250MB per file on higher plans). FlitStack logs files that exceed Pipedrive's size threshold for manual retrieval and creates a manifest of oversized files with their source record references.
| FastTrack | Pipedrive | Compatibility | |
|---|---|---|---|
| Person | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Activity (Call) | Activity (Call)1:1 | Fully supported | |
| Activity (Email) | Activity (Email)1:1 | Fully supported | |
| Activity (Meeting) | Activity (Meeting)1:1 | Fully supported | |
| Activity (Note) | Note1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment / File | File1:1 | 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.
FastTrack gotchas
Migration API rate limits throttle large imports
Corrupt or unreadable source items block migration
Export always runs to current date with no custom end date
Custom Event schema varies by plan tier
Enterprise implementation can take 1–2 months
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
Establish FastTrack data export and Pipedrive schema setup
FlitStack extracts the complete FastTrack data model via API — all Person, Organization, Deal, Activity, Product, and Custom Object records with their field schemas. We simultaneously review FastTrack's custom field definitions (field names, types, pick-list values) and compare them against Pipedrive's available field types. We then create the target Pipelines and stages in Pipedrive, create any required custom fields on Person, Organization, Deal, and Product entities, and map FastTrack pick-list values to Pipedrive pick-list options. The Pipedrive setup plan is delivered before extraction to allow admin review.
Resolve owners and validate user access
FastTrack user records are matched to Pipedrive users by email address. FlitStack generates a user resolution report listing matched users, unmatched FastTrack owners, and Pipedrive users with no FastTrack counterpart. Unmatched FastTrack owners require either an invitation to join Pipedrive before migration or assignment to a designated fallback Pipedrive user. This step runs before any data lands in Pipedrive to ensure no record arrives without a valid owner reference.
Migrate Organizations before People before Deals
Pipedrive requires Organization records to exist before Persons can reference them via org_id, and requires both Organizations and Persons before Deals can link contact persons via deal_person_id. FlitStack sequences the migration: (1) Organizations, (2) Organization-Person Relationships for multi-company contacts, (3) Persons with primary org_id resolution, (4) Products, (5) Deals with stage and owner mapping, (6) Activities linked to their parent records. This foreign-key ordering prevents orphaned records and broken association chains.
Run sample migration with field-level diff
A representative slice — typically 100–500 records spanning Persons, Organizations, Deals, and Activities — migrates first. FlitStack generates a field-level diff comparing source FastTrack values against destination Pipedrive fields for every mapped record. You review the diff to verify stage mapping, owner resolution, organization links, and custom field values before the full run commits. Any field mapping corrections are applied before the production migration.
Execute full migration with delta-pickup window
The full data migration runs against FastTrack's live API with adaptive throttling to respect Pipedrive's token-based rate limits. A delta-pickup window (24–48 hours) runs in parallel, capturing any records created or modified in FastTrack during the migration window. After the primary load completes, the delta records are merged. FlitStack generates an audit log of every operation. If reconciliation finds discrepancies, one-click rollback reverts the Pipedrive state to pre-migration. You then re-run the corrected migration.
Platform deep dives
FastTrack
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 4 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 FastTrack and Pipedrive.
Object compatibility
4 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
FastTrack: Throttling is tenant-specific; enterprise tenants can request temporary removal for 60-day windows.
Data volume sensitivity
FastTrack exposes a bulk API — large-volume migrations stream efficiently.
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 FastTrack to Pipedrive migration scoping. Not seeing yours? Book a call.
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