CRM migration
Field-level mapping, validation, and rollback between Spin CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Spin CRM
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between Spin CRM and Pipedrive.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Spin CRM and Pipedrive share a similar SMB sales positioning but differ fundamentally in API maturity, reporting depth, and ecosystem scale. Spin CRM's per-object CSV export mechanism (accessible from each module's settings menu) is the migration vehicle, but the absence of a REST API means we cannot perform live reads or real-time validation during the transfer. We sequence the import to resolve Companies first as the relationship anchor for Contacts, then Deals with stage mapping replicated from Spin CRM's customizable pipeline configuration. Custom fields require pre-creation in Pipedrive before import because CSV mapping does not auto-provision schema. Activities, notes, and tasks move as CSV rows mapped to Pipedrive Activity objects. We do not migrate documents (no export path documented in Spin CRM) or automations (Spin CRM workflow capabilities are not equivalent to Pipedrive's automation engine).
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 Spin 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.
Spin CRM
Lead
Pipedrive
Lead
1:1Spin CRM Leads map directly to Pipedrive Leads. Standard fields (name, email, phone, status, owner) map to their Pipedrive equivalents. The Spin CRM lead status property maps to Pipedrive's lead_status field. Any custom fields discovered at export are flagged and re-exported if column headers are missing from the initial CSV.
Spin CRM
Contact
Pipedrive
Person
1:1Spin CRM Contacts map to Pipedrive Person records. Email serves as the primary dedupe key. The company_name field in Spin CRM is cross-referenced against the Companies export to resolve the org_id lookup in Pipedrive before Contact import begins.
Spin CRM
Company
Pipedrive
Organization
1:1Spin CRM Company records map to Pipedrive Organization. We export Companies first and resolve the Organization ID before importing Contacts so that the org_id lookup is satisfied at insert time. Company address, industry, and custom properties migrate as Organization custom fields.
Spin CRM
Deal
Pipedrive
Deal
1:1Spin CRM Deals map to Pipedrive Deals with stage mapped from the source dealstage property to the corresponding Pipedrive stage name. Deal value, expected close date, owner, and linked Contact and Company references migrate directly. The Spin CRM pipeline is fully customizable, so we capture the full stage sequence during scoping and replicate it in Pipedrive before Deal import.
Spin CRM
Pipeline
Pipedrive
Pipeline
lossySpin CRM's customizable stage sequence becomes a Pipedrive Pipeline. We extract the complete list of stages (name, order, probability if set) from Spin CRM during scoping and configure the matching Pipeline and stage values in Pipedrive via the pipeline API or UI before Deals are imported.
Spin CRM
Custom Fields
Pipedrive
Custom Fields
lossySpin CRM custom fields on Leads, Contacts, and Deals are not automatically provisioned in Pipedrive. We identify every custom field from the CSV column headers and from customer-provided documentation, then pre-create the matching Pipedrive custom fields (with correct type: text, number, date, dropdown, checkbox) before the import phase begins. Fields are created via Pipedrive's field management UI or API.
Spin CRM
Owner
Pipedrive
User
1:1Spin CRM owner references on Leads, Contacts, Companies, and Deals are resolved by email match against Pipedrive User records. Any Spin CRM owner without a matching Pipedrive User is held in a reconciliation queue for the customer's admin to provision before record import resumes.
Spin CRM
Activities
Pipedrive
Activity
1:1Spin CRM task and calendar records migrate to Pipedrive Activity objects. Call, meeting, and task subtypes map to the corresponding Pipedrive Activity type values. Activity timestamps are preserved as the activity_date in Pipedrive to maintain the chronological timeline. Email content migrates to Pipedrive Activity records linked to the Person or Deal.
Spin CRM
Notes
Pipedrive
Note
1:1Spin CRM notes migrate to Pipedrive Note records attached to the parent Person, Organization, or Deal via the foreign_key and foreign_type fields. Note body content migrates as plain text. Notes are imported after their parent records exist to satisfy the lookup relationship.
Spin CRM
Sales Forecasting
Pipedrive
Deal (with stage probability)
lossySpin CRM forecast data is derived from deal values and stage-level probability percentages. We extract the deal value and stage assignment from Spin CRM and set the matching probability in Pipedrive per stage during pipeline configuration. No separate forecast object migrates; the Pipedrive pipeline stage probabilities reproduce the Spin CRM forecast model.
| Spin CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Owner | User1:1 | Fully supported | |
| Activities | Activity1:1 | Mapping required | |
| Notes | Note1:1 | Fully supported | |
| Sales Forecasting | Deal (with stage probability)lossy | Mapping required |
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.
Spin CRM gotchas
No documented public REST API
CSV export is object-by-object, not bulk
Custom field visibility at export time
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 scope documentation
We audit Spin CRM across all modules (Leads, Contacts, Companies, Deals, Activities) to document record counts, custom field names and types, the complete pipeline stage sequence, and owner assignments. We capture the CSV export path for each object and identify any fields that are visible in the Spin CRM UI but absent from the standard export view. The discovery output is a written migration scope with a recommended export sequence and freeze window.
CSV export coordination and pre-validation
We coordinate with the customer to execute per-object CSV exports from Spin CRM within a 24-48 hour freeze window. Each export file is validated before it leaves the source environment: we check column headers against the documented custom field list, count rows per object, and flag any null values in required fields. If column headers are missing custom fields, we request a re-export with all fields added to the export view.
Pipedrive schema setup
We create all required Pipedrive custom fields, matching the Spin CRM field names and types, before any data is imported. We configure the Pipeline and its stage sequence to match the Spin CRM pipeline exactly, then create Pipedrive Users by email match for any owner records found in the Spin CRM exports. User provisioning is validated before the import phase begins.
Staged import in dependency order
We import in dependency order: Organizations (from Companies) first to establish the relationship anchor, then Persons (from Contacts) with org_id resolved from the Organizations import, then Deals with stage names mapped to the configured Pipedrive pipeline stages, then Leads, then Activities and Notes linked to their parent records. Each phase emits a row-count reconciliation report before the next phase begins.
Validation and cutover
We compare record counts between Spin CRM exports and Pipedrive imports, spot-check 25-50 records for field-level accuracy, and verify that deal stages and owner assignments match the source. Once the customer approves the validation report, we enable Pipedrive as the system of record and decommission the Spin CRM data freeze.
Automation inventory handoff
We do not migrate Spin CRM workflows or automation rules as code. We deliver a written inventory of every discovered automation, workflow trigger, and stage rule with its current configuration documented in plain language. The customer's Pipedrive admin or a Pipedrive implementation partner rebuilds these in Pipedrive's automation engine post-migration.
Platform deep dives
Spin 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 Spin 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
Spin CRM: Not publicly documented — confirmed during scoping..
Data volume sensitivity
Spin 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
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