CRM migration
Field-level mapping, validation, and rollback between Pipedrive and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Pipedrive
Source
HubSpot
Destination
Compatibility
13 of 14
objects map 1:1 between Pipedrive and HubSpot.
Complexity
CModerate
Timeline
48–72 hours
Try the reverse
Overview
Pipedrive organizes sales data around People, Organizations, Deals, and Activities — a flat, sales-first model optimized for pipeline visibility. HubSpot uses a richer object graph that includes Contacts, Companies, Deals, Tickets, and Custom Objects (Enterprise only), with lifecycle_stage as the unifying contact property that tracks a prospect's journey from first touch to customer. The migration carries Pipedrive People to HubSpot Contacts, Organizations to HubSpot Companies, Deals to HubSpot Deals, and Activities (calls, emails, meetings, notes) to HubSpot's engagement timeline. Custom fields on Pipedrive Person, Organization, and Deal objects translate to HubSpot custom properties, with type-aware mapping for pick-lists, dates, numbers, and arrays. HubSpot's pipeline model maps directly to HubSpot Deal pipelines with stage-by-stage translation. Workflows, automations, and Sequences do not migrate — FlitStack exports your Pipedrive automation definitions as a rebuild reference for HubSpot Workflows and Sequences. Reports, dashboards, and integrations must be rebuilt in HubSpot. The migration runs via HubSpot's Bulk Import API with API-based association linking to preserve the relational integrity that flat-file imports lose.
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.
Source platform
Pipedrive platform overview
Scorecard, SWOT, gotchas, and pricing for Pipedrive.
Destination platform
HubSpot platform overview
Scorecard, SWOT, gotchas, and pricing for HubSpot.
Data migration guide
The complete HubSpot migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Source platform guide
Pipedrive migration guide
Understand the data you're exporting from Pipedrive before mapping it.
Destination checklist
HubSpot migration checklist
Pre- and post-cutover tasks for moving onto HubSpot.
Source checklist
Pipedrive migration checklist
Exit checklist for unwinding your Pipedrive setup cleanly.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Pipedrive object lands in HubSpot, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Pipedrive
Person
HubSpot
Contact
1:1Pipedrive Person maps to HubSpot Contact. Name, email, phone, job title, and address fields translate directly. Custom fields on Person migrate to HubSpot custom properties on Contact, with type-aware mapping for text, number, date, and pick-list fields. The Pipedrive Person's org_id links to HubSpot Contact.CompanyId lookup. Original create dates, owner assignments, and stage transitions are preserved so your HubSpot instance reflects the full sales record from day one.
Pipedrive
Organization
HubSpot
Company
1:1Pipedrive Organization maps to HubSpot Company. Company name, domain, address, industry, employee count, and annual revenue fields translate directly. Parent-child org hierarchies in Pipedrive map to HubSpot's Parent Company ID field, preserving company group structures. All organizational associations to people and deals are maintained during the migration to HubSpot.
Pipedrive
Deal
HubSpot
Deal
1:1Pipedrive Deal maps to HubSpot Deal. Deal name, value, stage, expected close date, owner, and custom fields translate directly. Pipedrive's rottert date has no HubSpot equivalent and is preserved as a custom datetime property. Pipeline stage transitions, activity history, and deal associations are maintained in HubSpot's engagement timeline.
Pipedrive
Pipeline
HubSpot
Deal Pipeline
1:1Each Pipedrive pipeline becomes a HubSpot Deal pipeline. Stage names, probabilities, and forecast categories map value-by-value. Pipedrive stage-entered timestamps are preserved as HubSpot custom datetime fields for stage-transition reporting in analytics dashboards.
Pipedrive
Activity (Call)
HubSpot
Call
1:1Pipedrive call activities migrate to HubSpot Calls. Original timestamp, duration, owner, direction (inbound/outbound), outcome, and linked record (deal or person) are preserved. HubSpot Call records attach to the corresponding Contact, maintaining full communication history.
Pipedrive
Activity (Email)
HubSpot
Pipedrive email activities sent via Pipedrive email sync migrate to HubSpot Emails. Subject, body, direction, timestamp, and associations to Contact and Deal are preserved. Emails logged directly in Pipedrive map to HubSpot's engagement timeline for complete communication records.
Pipedrive
Activity (Meeting)
HubSpot
Meeting
1:1Pipedrive meeting activities migrate to HubSpot Meetings. Title, start/end time, location or conference link, attendees, and linked deal or person are preserved. HubSpot Meetings attach to the corresponding Contact record for complete meeting history.
Pipedrive
Activity (Note)
HubSpot
Note
1:1Pipedrive notes (including note type: general, deal, or person) migrate to HubSpot Notes. Rich-text body, timestamp, owner, and linked deal or contact associations are preserved. HubSpot attaches notes to the correct record for complete context.
Pipedrive
Activity (Task)
HubSpot
Task
1:1Pipedrive tasks (to-dos) migrate to HubSpot Tasks. Subject, due date, completion status, owner, and linked record are preserved. Completed vs. open status maps directly without transformation. Pipedrive task type (call, email, meeting) is preserved as a HubSpot custom property.
Pipedrive
Lead
HubSpot
Contact or Lead
1:manyPipedrive's Lead inbox maps to HubSpot Contacts with a lifecycle_stage of 'lead' if the HubSpot portal is on Starter or below (no separate lead object). Enterprise portals can use HubSpot's Leads object. Unqualified leads become Contacts at lifecycle_stage 'lead'; qualified leads route to lifecycle_stage 'MQL' or 'SQL'.
Pipedrive
Product
HubSpot
Product
1:1Pipedrive Products migrate to HubSpot Products. Name, code, unit price, description, and tax are preserved. Products linked to Deals via line items map to HubSpot Line Items with product lookup for accurate revenue tracking.
Pipedrive
Custom Field (Person)
HubSpot
Custom Property (Contact)
1:1Pipedrive custom fields on Person objects become HubSpot custom properties on Contact. Field types map type-by-type: text, number, date, enum, and boolean all have HubSpot equivalents. Multi-value fields (arrays) in Pipedrive require transformation to HubSpot's multi-checkbox or HubSpot-formatted string.
Pipedrive
Label
HubSpot
HubSpot Custom Property or Tag
1:1Pipedrive Labels exist per entity (person, org, deal, lead) and are color-coded categorization. They map to HubSpot custom single-checkbox or multi-checkbox properties on the corresponding object. HubSpot's built-in Tags serve a different purpose (contact-level) so labels require a dedicated property.
Pipedrive
File / Attachment
HubSpot
File
1:1Pipedrive file attachments linked to deals, people, orgs, or products are downloaded and re-uploaded to HubSpot Files. File name, size, and linked record associations are preserved. Large attachments may require HubSpot's file size limits check (default 25MB per file).
| Pipedrive | HubSpot | Compatibility | |
|---|---|---|---|
| Person | Contact1:1 | Fully supported | |
| Organization | Company1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Deal Pipeline1:1 | Fully supported | |
| Activity (Call) | Call1:1 | Fully supported | |
| Activity (Email) | Email1:1 | Fully supported | |
| Activity (Meeting) | Meeting1:1 | Fully supported | |
| Activity (Note) | Note1:1 | Fully supported | |
| Activity (Task) | Task1:1 | Fully supported | |
| Lead | Contact or Lead1:many | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Custom Field (Person) | Custom Property (Contact)1:1 | Fully supported | |
| Label | HubSpot Custom Property or Tag1:1 | Fully supported | |
| File / Attachment | 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.
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
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
Extract Pipedrive data via API with full object graph
FlitStack AI pulls the complete Pipedrive dataset via the Pipedrive REST API v1/v2, capturing People, Organizations, Deals, Activities (calls, emails, meetings, notes, tasks), Products, Pipeline configurations, and Labels. We extract the full JSON payload including system fields that Pipedrive's visual interface hides, such as follower lists, file metadata, and custom field keys. API-based extraction preserves the relational structure (person_id on activities, org_id on deals) that CSV exports lose. The extraction runs with scoped read access — your team keeps working in Pipedrive throughout.
Clean, deduplicate, and normalize data before mapping
We run a data-quality pass across the extracted dataset: deduplicate contacts by email (keeping the record with the most recent activity), normalize phone number formats to E.164, standardize country and state values, and flag records with missing required fields. For multi-value phone arrays, we apply the primary/secondary splitting logic. For Pipedrive's follower lists, we map follower IDs to HubSpot Owner IDs by email match. The cleaned dataset is staged in our migration environment before field mapping begins.
Map and transform fields per object with type-aware logic
Our migration engine applies the field mapping defined in your migration plan: Person fields to Contact properties, Organization fields to Company properties, Deal fields to Deal properties. Custom fields on Pipedrive objects are translated to HubSpot custom properties, with type-aware handling (pick-lists get value-mapping tables, multi-select arrays get HubSpot multi-checkbox or text properties). Pipeline stages are mapped per pipeline using the per-pipeline stage tables. Activities are mapped to their HubSpot equivalents (Calls, Emails, Meetings, Tasks, Notes) with original timestamps and owner assignments preserved.
Run sample migration with field-level diff before full run
A representative slice — typically 100–500 records spanning contacts, companies, deals, and activities — migrates first. We generate a field-level diff showing source value versus destination value for every mapped field. You verify lifecycle_stage routing for leads, pipeline-to-stage mapping, owner resolution, and association integrity before the full run commits. Any mapping errors are corrected in the migration engine, and the sample is re-run until the diff passes your acceptance criteria.
Execute full migration with delta-pickup window and audit log
The full dataset migrates to HubSpot via the Bulk Import API with API-based association linking for relational integrity. A delta-pickup window (typically 24–48 hours) captures any Pipedrive records modified during the cutover so HubSpot reflects Pipedrive's final state at go-live. Every operation is logged to an audit trail. One-click rollback is available if reconciliation fails — the rollback reverts HubSpot to its pre-migration state without data loss.
Deliver reconciliation report and automation rebuild reference
Post-migration, we deliver a reconciliation report comparing record counts per object, field-level match rates, and association integrity. Records that failed to migrate or had partial data are surfaced with root-cause notes. We also deliver an exported JSON/PDF of your Pipedrive automation definitions (Sequences and Automations) formatted as a rebuild reference for your HubSpot admin to use when recreating workflows in HubSpot Workflows and Sequences. Integration rebuild guidance is scoped separately based on your connected tools.
Platform deep dives
Pipedrive
Source
Strengths
Weaknesses
HubSpot
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pipedrive and HubSpot.
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
Pipedrive: Token-based rate limits introduced December 2024; limits vary by plan tier and token.
Data volume sensitivity
Pipedrive 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 Pipedrive to HubSpot migration scoping. Not seeing yours? Book a call.
Walk through your Pipedrive to HubSpot migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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