CRM migration
Field-level mapping, validation, and rollback between PAWS and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
PAWS
Source
Pipedrive
Destination
Compatibility
10 of 10
objects map 1:1 between PAWS and Pipedrive.
Complexity
BStandard
Timeline
24–72 hours
Overview
PAWS and Pipedrive both organize sales data around contacts, companies, and deals, but the implementations diverge sharply on pipeline scoping, custom field architecture, and activity association models. Pipedrive is a sales-focused CRM with a per-seat pricing model that includes unlimited deals and activities on all plans; pipelines are user-configurable per workspace without edition restrictions. PAWS typically stores pipeline stages as free-form pick-lists within a deal record, while Pipedrive requires stages to be defined at the pipeline level with explicit ordering and probability weighting. Custom properties in PAWS may use free-form field names; Pipedrive assigns random 40-character hash keys to custom fields at creation time, which means pre-creating Pipedrive custom fields before import is mandatory for field matching to succeed. Activities in PAWS are often stored as event logs attached to deal records; Pipedrive groups calls, meetings, emails, and tasks under a unified Activities object that can be linked to People, Organizations, or Deals. We migrate all PAWS data objects (People, Organizations, Deals, Activities, Notes, Custom Fields) via staged CSV export or API extraction, normalizing field names and values before loading into Pipedrive's API. Workflows, automations, and email templates are not migrated — we deliver an export of those definitions as a rebuild reference for Pipedrive Automations and Smart Documents. The migration runs with scoped read-only access to PAWS; your team continues working uninterrupted until the delta window opens.
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 PAWS 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.
PAWS
People / Contact
Pipedrive
Person
1:1Direct map. PAWS people records migrate to Pipedrive People. Name, email, phone, job title, address fields map directly. PAWS contacts without an associated company land as standalone Pipedrive People; those with a linked company require the Organization to migrate first so the Person-Organization link can be established via Pipedrive's org_id field.
PAWS
Organization / Company
Pipedrive
Organization
1:1Direct map. PAWS company records migrate to Pipedrive Organizations. Name, domain, industry, employee count, annual revenue map directly. Parent-child company hierarchies in PAWS map to Pipedrive's parent_org_id field. Multi-company associations on a single PAWS contact require creating a primary Organization link plus additional Person-Organization relationships in Pipedrive.
PAWS
Deal / Opportunity
Pipedrive
Deal
1:1Direct map. PAWS deals migrate to Pipedrive Deals. Deal name, value (amount), expected close date, owner, and associated Person and Organization links all transfer. PAWS deal status (open, won, lost, stalled) maps to Pipedrive's status field (open, won, lost, deleted). Pipeline and stage assignment happens after the pipeline mapping step.
PAWS
Pipeline
Pipedrive
Pipeline
1:1Direct map. Each PAWS pipeline migrates to a Pipedrive Pipeline. Pipedrive pipelines are created in the migration staging phase with the same name and stage count as the source. Stage order, probability weights, and ROT (return on time) values are preserved as Pipedrive stage properties. Pipedrive supports multiple pipelines per account without edition restrictions, matching PAWS multi-pipeline capability.
PAWS
Pipeline Stage
Pipedrive
Stage (within Pipeline)
1:1Value mapping per pipeline. Each PAWS stage name maps to a named Pipedrive stage within the corresponding pipeline. Stage probability percentages in PAWS map to Pipedrive's stage probability values. If PAWS stages use custom order names not found in Pipedrive's defaults, the stage is created as a custom-named stage in the pipeline. Stage entry timestamps from PAWS are preserved as custom datetime fields for reporting continuity.
PAWS
Activity (Call / Meeting / Email / Task)
Pipedrive
Activity
1:1Transformed into Pipedrive Activities. PAWS activity type (call, meeting, email, task) maps to Pipedrive Activity.type field (call, meeting, email, task). Original timestamps, duration, and subject lines transfer. The activity is linked to the corresponding Person, Organization, or Deal in Pipedrive using the object_id and subobject_id fields. Note that Pipedrive treats all activity types within one object; PAWS may store them as separate objects, which are consolidated during migration.
PAWS
Note
Pipedrive
Note
1:1Direct map. PAWS notes migrate to Pipedrive Notes, which attach to Person, Organization, or Deal records. Content text, author (user), and creation timestamp transfer. Rich-text formatting in PAWS notes is preserved as plain text in Pipedrive Notes. If PAWS notes include file attachments, those files are re-uploaded to Pipedrive Files and linked.
PAWS
Custom Field (Contact-level)
Pipedrive
Custom Field (Person-level)
1:1Custom field required. PAWS contact-level custom properties require pre-created Pipedrive Person custom fields before migration. Text fields map directly; pick-list fields require value-by-value mapping since Pipedrive custom field options are enumerated separately from the data. Multi-select fields in PAWS are stored as pipe-delimited text in Pipedrive. Pipedrive's 40-character hash key for each custom field must be captured during field creation so the migration tool can match it during data load.
PAWS
User / Owner
Pipedrive
User
1:1Owner resolution by email. PAWS user records are matched to Pipedrive users by email address. The matched user becomes the OwnerId on migrated Deals and Person records. Unmatched PAWS owners (email not found in Pipedrive) are flagged as exceptions before migration; you can invite those users to Pipedrive first or assign to a fallback owner. Records without a resolvable owner land with the migration admin as a placeholder.
PAWS
Attachment / File
Pipedrive
File
1:1Direct map with re-upload. PAWS file attachments on deals, contacts, or companies are downloaded and re-uploaded to Pipedrive Files, then linked to the corresponding Person, Organization, or Deal. Pipedrive's file size limit is 50MB per file. Inline images embedded in PAWS notes are extracted and hosted as Pipedrive Files. File metadata (original filename, upload date) is preserved in Pipedrive's file record.
| PAWS | Pipedrive | Compatibility | |
|---|---|---|---|
| People / Contact | Person1:1 | Fully supported | |
| Organization / Company | Organization1:1 | Fully supported | |
| Deal / Opportunity | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Pipeline Stage | Stage (within Pipeline)1:1 | Fully supported | |
| Activity (Call / Meeting / Email / Task) | Activity1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Custom Field (Contact-level) | Custom Field (Person-level)1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment / File | File1:1 | 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.
PAWS gotchas
RoboHelp-generated public docs raise documentation-quality concerns
No public API documentation
Pricing opacity blocks TCO comparison
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
Audit PAWS data model and export preparation
FlitStack AI reviews your PAWS data model — standard objects, custom fields, pipeline configurations, and owner assignments. We identify data quality issues (duplicate contacts, orphaned deals, broken associations) and produce a remediation checklist before export begins. PAWS data is extracted via CSV export or API, whichever is available on your plan, and staged in a normalized intermediate format ready for Pipedrive ingestion.
Pre-create Pipedrive pipelines, stages, and custom fields
Before any data loads, your Pipedrive admin (or our team acting on your behalf) creates the Pipedrive pipelines with matching stage sets and probability weights. All PAWS custom properties are pre-created as Pipedrive custom fields. We capture each Pipedrive custom field's hash key during creation and feed it into the migration mapping configuration. Pipedrive users are matched against PAWS owners by email; unmatched owners are flagged for team provisioning before the migration proceeds.
Sequence and migrate Organizations, then People, then Deals
We sequence the migration in dependency order: Organizations first (so their Pipedrive IDs are available), then People with org_id links resolved, then Deals with person_id and org_id links resolved, then Activities and Notes. This prevents orphaned lookups where a record references an ID that does not yet exist in Pipedrive. Each stage is validated with record counts before the next stage begins. Custom field values are loaded against the hash-keyed Pipedrive field definitions captured in step 2.
Run sample migration with field-level diff
A representative slice — typically 200–500 records spanning People, Organizations, Deals, and Activities — migrates first. We generate a field-level diff comparing source values against Pipedrive field values, surfacing any missing custom fields, pick-list value mismatches, or truncated text. You review the diff and approve field mapping adjustments before the full migration commits. This step typically takes 2–4 hours depending on data complexity.
Full migration with delta pickup and rollback window
The full dataset migrates to Pipedrive. A delta pickup window opens immediately after, running 24–48 hours to capture any PAWS records created or modified during the migration window. All operations are logged in an audit trail. If reconciliation reveals data integrity issues, a one-click rollback reverts the Pipedrive environment to its pre-migration state. Once delta is confirmed clean, your team goes live in Pipedrive.
Platform deep dives
PAWS
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across PAWS and Pipedrive.
Object compatibility
3 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
PAWS: Not publicly documented.
Data volume sensitivity
PAWS 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 PAWS to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your PAWS to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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