CRM migration

Migrate from Star CRM to Pipedrive

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

Star CRM logo

Star CRM

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

60%

6 of 10

objects map 1:1 between Star CRM and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Star CRM to Pipedrive is a structural migration that resolves two distinct challenges: Star CRM's lack of public API documentation and schema specification, and Pipedrive's People-Organization-Activity object model replacing Star CRM's simpler Contact-Company-Deal structure. We handle the undocumented Star CRM API through live discovery during scoping, inferring the actual field structure from exported records rather than relying on documentation that does not exist. We preserve attachment relationships by building a manifest linking individual files to parent record IDs before re-associating them in Pipedrive. Pipeline stages and Deal values migrate 1:1 where possible, and stage names that differ are reconciled during the scoping call. Workflows, automations, and any custom-built integrations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Pipedrive's workflow builder.

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

Star CRM logo

Star CRM

What's pushing teams away

  • Limited documentation and public API availability make it difficult to integrate Star CRM with other business tools or build custom workflows.
  • Small teams may eventually need advanced automation, AI features, or scalability that Star CRM does not provide at higher tiers.
  • G2 notes there are not enough public reviews to assess the platform thoroughly, which raises questions about long-term viability and community support.

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 Star CRM objects map to Pipedrive

Each row shows how a Star CRM 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.

Star CRM

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Star CRM Contact records map directly to Pipedrive Person. Standard fields (name, email, phone, address) transfer 1:1. Custom contact properties are inferred from live discovery during scoping since Star CRM does not publish its schema, and each custom property is mapped to a Pipedrive custom field of matching type (text, numeric, date, or multi-select). We resolve the Person-to-Organization link by matching the Contact's parent company to a Pipedrive Organization by name.

Star CRM

Company

maps to

Pipedrive

Organization

1:1
Fully supported

Star CRM Company records map to Pipedrive Organization. Organization is created before Person records to satisfy the OrganizationId lookup on Person. Company name becomes the Organization name, and address fields map to Pipedrive's address subfields. Custom Company properties migrate as Organization-level custom fields with type mapping confirmed during discovery.

Star CRM

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Star CRM Deal records map to Pipedrive Deal with the same deal value, title, and stage preserved. Stage names are reconciled during scoping: each Star CRM deal stage is mapped to a Pipedrive pipeline stage name. Deal-to-Contact linking uses the Person and Organization lookups resolved in previous phases. Deal owner assignment maps via email match to Pipedrive User.

Star CRM

Activity

maps to

Pipedrive

Activity

1:1
Fully supported

Star CRM Activities (calls, emails, meetings, tasks, notes) map to Pipedrive Activity records. Call engagements map with call type, duration, and disposition; email engagements map as Activity with type email; meetings map as Activity with type meeting. Each Activity is linked to its parent Person or Organization via the context_id and context_type fields. Note content migrates as Activity type note with full body text preserved.

Star CRM

Lead

maps to

Pipedrive

Lead

1:1
Fully supported

Where Star CRM distinguishes Leads from Contacts, we separate them during export and import them into Pipedrive as Lead records. Lead source, status, and any scoring values transfer as custom fields. If the customer prefers to convert Leads to Persons in Pipedrive during the handoff, we document the conversion mapping in the deliverable.

Star CRM

Pipeline

maps to

Pipedrive

Pipeline

lossy
Fully supported

Star CRM pipeline stages are mapped to Pipedrive Pipeline stages. We create a Pipedrive Pipeline during migration setup with stages named to match the source or mapped to the customer's preferred naming convention. Stage probability percentages transfer if Star CRM stores them; otherwise we set defaults and the customer adjusts post-migration.

Star CRM

Tag

maps to

Pipedrive

Label

lossy
Fully supported

Star CRM Tags on Contacts or Deals transfer as Pipedrive Labels. Multi-select tags on a single record split into separate Label assignments in Pipedrive. The customer chooses whether to use Pipedrive's built-in Label feature or store tags as a multi-select custom field during scoping.

Star CRM

Owner

maps to

Pipedrive

User

1:1
Fully supported

Star CRM Owner records (name, email, role) map to Pipedrive User. We match by email address. Owners without a matching Pipedrive User are held in a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Star CRM owners can be mapped to inactive Pipedrive users if the customer wants historical assignment preserved.

Star CRM

Attachment

maps to

Pipedrive

File

lossy
Fully supported

Star CRM exports attachments as individual files per record with no parent-archive structure. We download all files, build a manifest linking each file to its source record ID and type, and upload files to Pipedrive as Deal or Person attachments with the correct parent reference. This step adds time proportional to file volume; we estimate and quote it separately during scoping.

Star CRM

Custom Property

maps to

Pipedrive

Custom Field

lossy
Fully supported

Custom fields on any Star CRM object (Contact, Company, Deal, Activity) are inferred during live API discovery and mapped to Pipedrive custom fields of the matching type. Pipedrive supports text, numeric, date, address, multi-select, and single-select custom field types. We create the destination custom fields in Pipedrive before migration begins and map each one explicitly during the data transform phase.

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.

Star CRM logo

Star CRM gotchas

High

Sparse public documentation and no published API spec

High

No bulk export endpoint confirmed

Medium

Attachment export produces individual files per record

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

  • Star CRM has no public API documentation

    Star CRM does not publish API documentation or a developer portal. We cannot programmatically enumerate the schema or verify field names from documentation before migration. We handle this by performing live API discovery during scoping, exporting a sample record set to infer the actual field structure, and building field mappings from that observed data. Any custom properties are flagged as they appear in the discovery export. This step is required before migration begins and adds two to three days to the scoping phase. Customers with large custom field counts should anticipate this delay when planning cutover dates.

  • No bulk export endpoint confirmed for Star CRM

    Research did not surface a bulk data export or batch API endpoint for Star CRM. If the platform requires record-by-record export through the UI or a single-record API, large databases take significantly longer to extract. We automate repeated API calls with pagination where the API supports it, run exports during off-peak hours to avoid session timeouts, and estimate export duration separately during scoping based on the discovered record count. Customers with over 50,000 records should plan for an extended extraction window.

  • Pipedrive custom fields must exist before import mapping

    Pipedrive's import wizard allows custom field creation during the mapping step, but custom fields must be present in Pipedrive before we can map source fields to them during automated migration. We create all required custom fields during the Pipedrive setup phase (step 3 of the approach) before any records are loaded. This requires the customer's Pipedrive admin credentials or a service account with field creation permissions. Skipping this step causes record rejection at the import stage.

  • Pipedrive address fields use subfield structure

    Pipedrive address custom fields are composite objects with subfields (street, city, state, postal_code, country) rather than a single text field. Star CRM address data must be parsed and mapped to the correct subfield before import. We handle this parsing during the data transform phase, splitting comma-separated or single-field Star CRM addresses into Pipedrive's subfield structure. Addresses stored as unstructured text in Star CRM may require manual review or a best-effort parse with the customer confirming the output.

  • Attachment export produces individual files per record

    Star CRM exports attachments as separate files rather than a structured archive. A contact with five email threads and two documents becomes five files plus two files, all named by the system. We download all files, build a manifest linking each file to its parent record ID, and re-associate them in Pipedrive during upload. This step adds time proportional to file volume and is estimated separately during scoping. Customers with heavy attachment volume (over 10,000 files) should anticipate a longer migration timeline.

Migration approach

Six steps for a successful Star CRM to Pipedrive data migration

  1. Discovery and scoping

    We audit Star CRM across all standard objects (Contacts, Companies, Deals, Activities, Leads), estimate record counts, and identify any custom properties by performing a live API discovery call. This step is required because Star CRM does not publish schema documentation. We also identify pipeline stage names, owner assignments, and attachment volume during discovery. The output is a written migration scope with object mapping, a Pipedrive edition recommendation, and an estimated timeline based on the discovered data volume.

  2. Live API discovery and field inference

    We perform live API discovery against the customer's Star CRM instance to infer the actual field structure. We export a sample record set (typically 20-50 records per object) to identify field names, data types, and custom property names. Any fields that do not appear in the sample are flagged as potentially sparse and noted in the scope. This step produces the definitive field map used for all subsequent transforms and cannot be skipped given Star CRM's undocumented API.

  3. Pipedrive setup and schema provisioning

    We create Pipedrive Pipelines with the correct stage names mapped from Star CRM, set stage probabilities, and create all required custom fields in Pipedrive before any data is loaded. This requires the customer's Pipedrive admin credentials. We configure Organization and Person custom fields, Deal custom fields, and any Activity custom fields identified during discovery. Pipeline stages are validated against Star CRM stage names to confirm the mapping before the test migration phase begins.

  4. Test migration and reconciliation

    We run a full migration into a Pipedrive Sandbox or a clean production trial org using production-like data volume. The customer reconciles record counts (Organizations in, Persons in, Deals in, Activities in), spot-checks 25-50 records against the Star CRM source, and signs off the schema and mapping before production migration begins. Any field mapping corrections, stage name adjustments, or custom field additions happen during this phase. Production migration does not begin until written sign-off.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Organizations first (from Star CRM Companies), then Persons with OrganizationId resolved, then Deals with PersonId and OrganizationId resolved, then Activities (calls, emails, meetings, tasks, notes) linked to the correct Person or Organization. Attachments are downloaded from Star CRM and uploaded to Pipedrive with manifest-based parent association last. Each phase emits a row-count reconciliation report before the next phase begins. Star CRM writes are frozen during the production migration window.

  6. Cutover, validation, and handoff

    We run a final delta migration of any records modified in Star CRM during the production migration window, then enable Pipedrive as the system of record. We deliver the automation and integration inventory document (listing any Star CRM workflows, automations, or integrations requiring rebuild in Pipedrive) to the customer's admin team. We support a three-day hypercare window where we resolve reconciliation issues. Workflow rebuilds and Pipedrive workflow automation setup are outside the standard migration scope and can be scoped as a separate engagement.

Platform deep dives

Context on both ends of the pair

Star CRM logo

Star CRM

Source

Strengths

  • Clean, focused interface for contact and relationship management
  • Positive user sentiment on G2 with a 4.5 out of 5 star rating
  • Straightforward core CRM feature set suitable for small teams
  • Provides visibility into customer interactions and sales activity

Weaknesses

  • No publicly documented API or developer portal
  • Limited review volume makes long-term platform health difficult to assess
  • Appears to lack advanced automation, AI, or enterprise-scale features
  • Data portability and export options are not well documented
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 Star CRM 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

    Star CRM: Not applicable.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Star CRM 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 Star CRM to Pipedrive data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Contacts and 2,000 Deals with no custom objects and straightforward pipeline structures. Migrations with large attachment volumes (over 10,000 files), many custom fields, or multi-pipeline Deal structures move to eight to twelve weeks because of the manifest-building work, live API discovery, and pipeline reconciliation required for Star CRM's undocumented schema.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Star CRM.
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