CRM migration

Migrate from OpenCRM to Pipedrive

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

OpenCRM logo

OpenCRM

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

82%

9 of 11

objects map 1:1 between OpenCRM and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from OpenCRM to Pipedrive is a migration from a VtigerCRM-derived platform with a dated interface and no documented REST API to a modern sales-focused CRM with a well-documented API and a visual Kanban pipeline. The primary extraction challenge is that OpenCRM has no publicly documented bulk API endpoint; we work around this by using the UI-based CSV export with full-column selection for each object, then staging and transforming those files before loading into Pipedrive via its REST API. The import sequencing is Companies first (as parent entities), then Contacts (with CompanyId resolved), then Deals (with OwnerId and stage resolved), then Activities last. OpenCRM's tenant-defined pipeline stage names require a manual mapping table that we produce during scoping and apply during the Deal import. We do not migrate OpenCRM Workflows, automation rules, or report definitions; we deliver a written inventory of these for the customer's admin to rebuild in Pipedrive's Automations feature.

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

OpenCRM logo

OpenCRM

What's pushing teams away

  • User interface looks and feels dated compared to modern CRM tools, with clunky navigation, hard-to-find menus, and a visual design that frustrates teams accustomed to contemporary UX.
  • Bugs and performance issues reported by some users including software freezing and unexpected behavior, particularly under heavy use or with large datasets.
  • Limited public API documentation and no developer community presence, making custom integrations and programmatic data access harder to implement without vendor involvement.
  • Smaller market share and review volume compared to major CRM platforms, meaning fewer community resources, third-party integrations, and migration guides are available online.

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 OpenCRM objects map to Pipedrive

Each row shows how a OpenCRM 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.

OpenCRM

Company

maps to

Pipedrive

Organization

1:1
Fully supported

OpenCRM Company records map directly to Pipedrive Organization records. The company name becomes the Organization name, domain and address fields map to their Pipedrive equivalents, and any custom fields on the Company object map by field name. Organizations must import before Contacts to satisfy the parent lookup. We validate that every Organization has a unique name or domain before insert to avoid creating duplicate Organization records during the import.

OpenCRM

Contact

maps to

Pipedrive

Person

1:1
Fully supported

OpenCRM Contact records map to Pipedrive Person records. The primary mapping uses email address as the dedupe key. Each Person's OrganizationId is resolved at migration time by matching the Contact's parent Company name or domain to the Organization name in the destination. Contacts without a valid parent Company are flagged in a reconciliation report before the import commits; the customer decides whether to create placeholder Organizations or leave them as unlinked Persons.

OpenCRM

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

OpenCRM Deals map to Pipedrive Deals. The Deal title, value, expected close date, and owner assignment migrate directly. The pipeline stage mapping is the critical step: OpenCRM's tenant-defined stage names require a mapping table we produce during scoping and apply during the import so each Deal lands in the correct Pipedrive stage. Closed-won and closed-lost statuses from OpenCRM map to Pipedrive's status field.

OpenCRM

Pipeline Stage

maps to

Pipedrive

Pipeline Stage

lossy
Fully supported

OpenCRM allows fully custom pipeline stage names per workflow. Pipedrive uses pipeline-specific stage names configured within each pipeline. We produce a stage-mapping table during scoping that aligns each OpenCRM stage to its Pipedrive equivalent by pipeline. Probability values migrate as integers; any OpenCRM stage without a Pipedrive counterpart is flagged for the customer to create before Deal import begins.

OpenCRM

Activity (Call)

maps to

Pipedrive

Activity (Call)

1:1
Fully supported

OpenCRM call activity records map to Pipedrive Activity records with type = Call. Call duration, disposition, and owner assignment migrate to custom fields. The Activity is linked to its parent record (Person, Organization, or Deal) by resolving the OpenCRM contact reference. Timestamps normalise to UTC before insert.

OpenCRM

Activity (Meeting)

maps to

Pipedrive

Activity (Meeting)

1:1
Fully supported

OpenCRM meeting activity records map to Pipedrive Activity records with type = Meeting. Start time, end time, location, and attendee list migrate to their Pipedrive equivalents. The meeting is linked to the parent record (Person, Organization, or Deal) via the OpenCRM reference resolution step. Attendees who are not already in Pipedrive as Persons are added to the meeting's public description field rather than as separate Person records.

OpenCRM

Activity (Task)

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

OpenCRM task activity records map to Pipedrive Activity records with type = Task. Status (open, completed), due date, priority, and assignee migrate directly. Completed tasks retain their completion timestamp; open tasks inherit the OpenCRM due date. Task assignment resolves the OpenCRM owner name to a Pipedrive user by email match.

OpenCRM

Note

maps to

Pipedrive

Note

1:1
Fully supported

OpenCRM Notes attached to Contacts, Companies, or Deals migrate to Pipedrive Notes. We preserve the note body, creation timestamp, and author name. Notes attached to Deals link to the migrated Pipedrive Deal via the OpenCRM deal reference. Notes with no valid parent record are attached to the related Person as a fallback.

OpenCRM

Custom Field

maps to

Pipedrive

Custom Field

1:1
Fully supported

OpenCRM custom fields on Contacts, Companies, and Deals are discovered per-tenant during scoping and mapped field-by-field to Pipedrive custom fields. We create the Pipedrive custom field in the destination account before migration begins, matching the OpenCRM data type (text, number, date, picklist) to the nearest Pipedrive field type. Multi-select picklists in OpenCRM map to Pipedrive multi-select fields.

OpenCRM

User (Owner)

maps to

Pipedrive

User

1:1
Fully supported

OpenCRM user records and deal and contact ownership assignments are resolved by email match against the Pipedrive User table. We extract every distinct owner referenced on migrating records and generate a user-mapping table. Any OpenCRM owner without a matching Pipedrive user goes to a reconciliation queue; the customer provisions missing users before record import resumes. Active and inactive status is preserved where possible.

OpenCRM

Tag / Label

maps to

Pipedrive

Label

lossy
Fully supported

OpenCRM tag-based categorisation on contacts and companies migrates to Pipedrive Labels. Tags stored as multi-checkbox properties in OpenCRM flatten to a comma-separated label string in Pipedrive. The customer confirms during scoping whether tags should become Pipedrive Labels, Person fields, or both. We do not create custom label taxonomy; the customer defines the label structure before import.

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.

OpenCRM logo

OpenCRM gotchas

High

Bulk import without CRM ID or ExternalID creates duplicate records

Medium

Import ordering dependency: Companies before Contacts

Medium

No documented public REST API for programmatic export

Low

Pipeline stage names are tenant-defined and require manual mapping

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

  • OpenCRM has no REST API — CSV export is the only extraction path

    OpenCRM does not publish a publicly documented bulk REST or GraphQL endpoint. The primary data extraction method is the CSV export available through the OpenCRM UI. We request a full-column export for each object (Companies, Contacts, Deals, Activities) from the OpenCRM list view. There is a risk of truncated exports for large datasets if the UI imposes a row limit. We mitigate this by splitting large exports into multiple CSV files and concatenating them before transformation. If your OpenCRM instance uses custom field labels that differ from the underlying column names in the export, the mapping step requires a field-name reconciliation before the transform runs.

  • Contact-to-Company foreign key requires Companies imported first

    OpenCRM Links Contacts to Companies via a foreign-key relationship. Importing Contacts before Organizations results in broken parent references: every Contact in Pipedrive requires an OrganizationId, and without a pre-existing Organization record, the Person-Organization linkage is lost. We always sequence the migration as Organizations first, then Persons, then Deals, with a post-import validation that confirms every migrated Person has a valid OrganizationId. Contacts without a parent Company in OpenCRM are flagged for manual review before the Persons import begins.

  • Pipeline stage names require a manual mapping table

    OpenCRM allows full customisation of pipeline stage names per workflow. These tenant-defined names rarely align 1:1 with Pipedrive's stage values, which are configured per pipeline in Pipedrive. We produce a stage-mapping table during scoping, present it to the customer for confirmation, and apply the mapping during the Deal import. Pipedrive stages must exist in the destination account before the import runs; we create them as part of the pipeline configuration step. Closed-won and closed-lost stages in OpenCRM must map to Pipedrive's status field, not a stage name.

  • Duplicate prevention requires the OpenCRM record ID as matching key

    OpenCRM's CSV export includes the native record ID for each object. We carry this ID through the staging pipeline and use it as the external ID when importing into Pipedrive, ensuring that re-running the migration updates existing records rather than creating duplicates. If the OpenCRM instance has undergone prior data cleanup or deduplication without preserving IDs, we fall back to email (Persons) or company name (Organizations) as the matching key, with a duplicate-detection pass before insert.

Migration approach

Six steps for a successful OpenCRM to Pipedrive data migration

  1. Discovery and scoping

    We audit the OpenCRM account across objects in use (Companies, Contacts, Deals, Activities, Notes, custom fields), record counts per object, pipeline stage names, active tags and labels, and owner assignments. We also confirm whether any OpenCRM Workflows or automation rules are in active use, since these will require a written inventory rather than a data migration. The discovery output is a written migration scope document including the stage-mapping table for Deals and the user-mapping table for Owners.

  2. CSV extraction from OpenCRM

    We extract full-column CSV exports for each OpenCRM object from the UI-based export function. For large datasets we request segmented exports by date range or record range to avoid UI truncation. We extract the OpenCRM record ID column alongside the data columns for every object to serve as the external ID during the Pipedrive import. All CSV files are staged in a secure workspace and validated for column headers, row counts, and encoding before transformation begins.

  3. Schema setup in Pipedrive

    We create Pipedrive pipelines and stages matching the OpenCRM pipeline structure, applying the stage-mapping table agreed during scoping. We create any custom fields required for the migration (mapped from OpenCRM custom fields) in Pipedrive before the first record import. We invite all required Pipedrive users so that owner assignment resolves during import rather than creating orphaned owner records.

  4. Data transformation and staging

    We transform each CSV into Pipedrive-compatible format: Contacts become Persons with OrganizationId resolved by matching parent Company name to the destination Organization; Deals are enriched with stage mapping, OwnerId resolved by email match, and expected close date normalised to UTC. Activities are transformed with their type (call, meeting, task) preserved and timestamps normalised. Notes are staged with their parent record reference intact. Custom field values are mapped to their Pipedrive field names. Tags are collected as label strings for the label step.

  5. Production import in dependency order

    We import in record-dependency order: Organizations first (from Companies), Persons second (with OrganizationId resolved), Deals third (with OwnerId and stage resolved), Activities fourth (calls, meetings, tasks in sequence), Notes fifth. Each phase emits a row-count reconciliation report comparing OpenCRM source counts to Pipedrive destination counts. Orphaned records (Persons without an Organization, Deals without an Owner) are flagged and held in a reconciliation queue for the customer's decision before the next phase begins.

  6. Cutover, validation, and automation handoff

    We freeze OpenCRM writes during the final cutover window, run a delta migration of any records modified during the migration window, then mark Pipedrive as the system of record. We deliver a written inventory of OpenCRM Workflows and automation rules for the customer's admin to rebuild in Pipedrive Automations. We support a one-week post-cutover window where we resolve any record linkage or field-value issues raised by the customer's team. We do not rebuild OpenCRM workflows as Pipedrive automation flows inside the migration scope.

Platform deep dives

Context on both ends of the pair

OpenCRM logo

OpenCRM

Source

Strengths

  • All features available at every subscription tier with no feature paywalls or upgrade gates.
  • Per-user flat-rate pricing independent of contact database size.
  • Bundled consultancy, training, and support services included as standard.
  • Built on the proven VtigerCRM open-source codebase with over 5 million downloads since 2004.
  • Web-based deployment with automatic updates and no self-hosting complexity.

Weaknesses

  • Dated user interface and navigation UX compared to modern CRM competitors.
  • Limited public API documentation and developer ecosystem.
  • Small market share with fewer third-party integrations than major platforms.
  • Reported bugs and performance issues under heavy or complex usage.
  • Sparse community resources and migration guides available online.
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?

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 OpenCRM and Pipedrive.

  • 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

    OpenCRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your OpenCRM 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 OpenCRM to Pipedrive data migrations

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

Can't find your answer?

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Migrations under 15,000 Contacts and 3,000 Deals with no custom objects and straightforward pipeline structures land between three and five weeks. Migrations with large activity histories (over 200,000 engagement records), multiple custom fields per object, or complex tag-to-label conversion move to eight to twelve weeks. The CSV extraction step from OpenCRM adds time compared to migrations from platforms with REST APIs, particularly for large datasets that require segmented exports.

Adjacent paths

Related migrations to explore

Ready when you are

Move from OpenCRM.
Land in Pipedrive, intact.

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