CRM migration
Field-level mapping, validation, and rollback between Star CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Star CRM
Source
Pipedrive
Destination
Compatibility
6 of 10
objects map 1:1 between Star CRM and Pipedrive.
Complexity
CModerate
Timeline
3-5 weeks
Overview
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.
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 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
Pipedrive
Person
1:1Star 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
Pipedrive
Organization
1:1Star 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
Pipedrive
Deal
1:1Star 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
Pipedrive
Activity
1:1Star 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
Pipedrive
Lead
1:1Where 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
Pipedrive
Pipeline
lossyStar 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
Pipedrive
Label
lossyStar 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
Pipedrive
User
1:1Star 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
Pipedrive
File
lossyStar 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
Pipedrive
Custom Field
lossyCustom 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.
| Star CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Tag | Labellossy | Fully supported | |
| Owner | User1:1 | Fully supported | |
| Attachment | Filelossy | Fully supported | |
| Custom Property | Custom Fieldlossy | 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.
Star CRM gotchas
Sparse public documentation and no published API spec
No bulk export endpoint confirmed
Attachment export produces individual files per record
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
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.
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.
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.
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.
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.
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
Star CRM
Source
Strengths
Weaknesses
Pipedrive
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 Star CRM 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
Star CRM: Not applicable.
Data volume sensitivity
Star CRM 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 Star CRM to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your Star CRM to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Star CRM
Other ways to arrive at Pipedrive
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.