CRM migration

Migrate from Pipedrive to HubSpot

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

Pipedrive logo

Pipedrive

Source

HubSpot

Destination

HubSpot logo

Compatibility

93%

13 of 14

objects map 1:1 between Pipedrive and HubSpot.

Complexity

CModerate

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Try the reverse

HubSpot
Pipedrive

Overview

What this migration involves

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.

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

Pipedrive logo

Pipedrive

What's pushing teams away

  • Cost creep from add-ons and tier escalation: base pricing is approachable but LeadBooster, extra workflows, and advanced AI push total cost well above the headline number.
  • Limited advanced reporting on lower tiers — teams needing multi-touch attribution or custom forecasting dashboards outgrow the built-in analytics.
  • Cumbersome search and filter UX, especially in list views, frustrates managers running ad-hoc pipeline reviews.
  • Difficulty migrating data between Pipedrive accounts or off the platform is a documented pain point that surfaces repeatedly in reviews and Reddit discussions.
  • No custom objects — teams needing non-standard data structures like project milestones or service contracts find Pipedrive too rigid to accommodate.

Choosing

HubSpot logo

HubSpot

What's pulling them in

  • Lowest barrier to entry of any major CRM — the free tier with unlimited contacts lets teams validate fit before committing to a paid plan, according to G2 and Capterra reviewers.
  • Native integration between the CRM and sales engagement tools (sequences, email tracking, dialer) means no separate sync configuration, a theme across G2 Sales Hub reviews.
  • Pipeline visualization, deal tracking, and automated workflows are consistently praised as intuitive and easy to set up without developer involvement.
  • Strong onboarding for new team members — reviewers on Capterra and G2 highlight how quickly new reps become productive without formal training.
  • The HubSpot platform ecosystem (Marketing, Sales, Service, CMS hubs) allows growing companies to consolidate tools without building new integrations.

Object mapping

How Pipedrive objects map to HubSpot

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

maps to

HubSpot

Contact

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

Company

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

Deal

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

Deal Pipeline

1:1
Fully supported

Each 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)

maps to

HubSpot

Call

1:1
Fully supported

Pipedrive 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)

maps to

HubSpot

Email

1:1
Fully supported

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)

maps to

HubSpot

Meeting

1:1
Fully supported

Pipedrive 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)

maps to

HubSpot

Note

1:1
Fully supported

Pipedrive 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)

maps to

HubSpot

Task

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

Contact or Lead

1:many
Fully supported

Pipedrive'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

maps to

HubSpot

Product

1:1
Fully supported

Pipedrive 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)

maps to

HubSpot

Custom Property (Contact)

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

HubSpot Custom Property or Tag

1:1
Fully supported

Pipedrive 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

maps to

HubSpot

File

1:1
Fully supported

Pipedrive 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).

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.

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

HubSpot logo

HubSpot gotchas

High

Marketing Contacts billing model is migration-critical

High

Feature tier gating is not visible until onboarding

Medium

Mandatory onboarding fees inflate year-one cost

Medium

HubSpot CSV importer cannot migrate engagements or attachments

Medium

Custom objects require Enterprise and a pre-existing schema

Pair-specific challenges

  • Pipedrive Leads route differently depending on HubSpot tier

    Pipedrive's Lead inbox is a separate object from the main CRM. In HubSpot Starter through Professional, there is no native Lead object — all leads land as Contacts with lifecycle_stage set to 'lead'. Enterprise portals can use HubSpot's Leads object, which requires separate schema setup. We map unqualified Pipedrive leads to lifecycle_stage 'lead' Contacts and qualified leads (from the Pipedrive lead inbox) to lifecycle_stage 'MQL' or 'SQL' depending on your qualification criteria. The routing decision must be made before migration so the mapping logic is consistent.

  • Pipedrive multi-phone arrays collapse to HubSpot primary and mobile fields

    Pipedrive allows a single Person record to hold multiple phone numbers as an array (labeled phone types: work, home, mobile, other). HubSpot prefers a 'Primary Phone' and 'Mobile Phone' structure on the Contact record. If a Pipedrive Person has more than two phone numbers, the excess numbers are preserved as a custom multi-line text property rather than native HubSpot phone fields. The primary phone (typically the most recently used or work type) becomes HubSpot Phone; the next logical type becomes MobilePhone. Teams relying on click-to-dial need this transformation to work correctly — concatenated strings break that functionality.

  • HubSpot's marketing-contact billing model has no Pipedrive equivalent

    HubSpot charges based on Marketing Contact count in addition to portal access. Pipedrive has no equivalent billing distinction — all contacts are treated equally. Teams moving to HubSpot from Pipedrive where marketing lists were not tightly managed may face unexpected HubSpot billing tier jumps. We preserve a 'was_marketing_contact_in_pipedrive' flag as a HubSpot custom property so RevOps can segment and suppress records to control marketing-contact counts, but the financial model adjustment is a HubSpot-side governance decision your team must make post-migration.

  • Pipedrive deal rottert dates require a custom HubSpot property

    Pipedrive's rottert feature automatically marks deals as 'rotting' if no activity occurs within a configurable number of days. HubSpot has no native rottert mechanism. We preserve the rottert status as a custom datetime property (last_rottert_check_date__c) and custom checkbox (is_rotting__c) so your team can rebuild the logic in HubSpot Workflows using a 'days since last activity' calculation. Without this custom property, the rottert concept is lost entirely during migration. This preservation enables RevOps teams to continue monitoring deal health without manual re-entry.

  • Association labels between contacts and deals need HubSpot contact roles

    Pipedrive lets you label a person's role on a deal (Decision Maker, Influencer, Champion, etc.) via the deal-person association. HubSpot's built-in Opportunity Contact Roles cover the most common case (Primary and Secondary), but HubSpot has no general-purpose role-labeling equivalent for deal-contact associations. We map recognized role labels to HubSpot Opportunity Contact Roles and surface non-standard labels as a custom multi-select property on the deal-contact association. Your team decides whether to use a custom junction object or collapse labels to standard roles.

Migration approach

Six steps for a successful Pipedrive to HubSpot data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Pipedrive logo

Pipedrive

Source

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.
HubSpot logo

HubSpot

Destination

Strengths

  • Genuinely useful free CRM tier with no seat limit on contact records.
  • All-in-one sales engagement layer (sequences, email tracking, calling, dialer) embedded natively in the CRM, eliminating a separate integration.
  • Intuitive interface and fast onboarding for individual reps, per G2 and Capterra reviews.
  • Workflow automation triggers across contacts, deals, and tickets with a visual builder.
  • API coverage for all standard objects including custom objects at Enterprise tier.

Weaknesses

  • Pricing model is contact-based at the marketing layer — importing all records as marketing contacts can multiply the monthly bill by 4×.
  • Feature tier cliffs are frequent surprises: sequences, calling, advanced reporting, and quoting are all gated, often requiring plan upgrades mid-implementation.
  • Mandatory onboarding fees at Professional ($1,500) and Enterprise ($3,500) are not prominently disclosed on the pricing page.
  • API rate limits are restrictive for bulk migration — burst limits of 100-200 req/10sec and search endpoint limits of 4 req/sec require careful job queuing.
  • Custom objects, additional pipelines, and advanced forecasting are Enterprise-only, making cost projections difficult for growing teams.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Pipedrive and HubSpot.

  • Object compatibility

    C

    4 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

    Pipedrive: Token-based rate limits introduced December 2024; limits vary by plan tier and token.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Pipedrive to HubSpot 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 Pipedrive to HubSpot data migrations

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

Can't find your answer?

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Most Pipedrive-to-HubSpot migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 500k+ records, multiple pipelines, or complex custom-field configurations extend to 5–7 days. The longest planning step is setting up HubSpot pipelines and stages to match Pipedrive's pipeline configuration; the actual data transfer via HubSpot's Bulk Import API runs in hours for most datasets. Pipedrive's API rate limits (token-based, introduced December 2024) affect extraction speed for large volumes.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pipedrive.
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