CRM migration
Field-level mapping, validation, and rollback between Pure Chart and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Pure Chart
Source
Pipedrive
Destination
Compatibility
15 of 15
objects map 1:1 between Pure Chart and Pipedrive.
Complexity
BStandard
Timeline
24–72 hours
Overview
Pure Chart stores records in a flat or semi-relational structure that differs significantly from Pipedrive's Person-Organization-Deal object graph. The migration process begins by extracting contacts, companies, and custom fields from Pure Chart, then systematically mapping each element to Pipedrive's corresponding objects. Pipedrive's pipeline model represents stages as column states within a Kanban view rather than as separate entities, so deal stages translate directly to Pipedrive's stage values. Custom fields defined in Pure Chart require pre-creation of matching custom fields in Pipedrive through the /personFields, /organizationFields, or /dealFields API endpoints before data import can proceed. Owner resolution is accomplished by performing an email lookup against existing Pipedrive users, ensuring that record assignments remain consistent. Activities including calls, emails, meetings, and notes are migrated as Activity objects with their original timestamps and assigned owners preserved. It is important to note that Pure Chart workflows and automation rules do not transfer to Pipedrive; these must be reconstructed using Pipedrive's Automation builder, which operates on field-change trigger conditions rather than the event-action logic patterns common in Pure Chart.
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 Pure Chart 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.
Pure Chart
Contact
Pipedrive
Person
1:1Pure Chart contacts map to Pipedrive Person objects through a direct field correspondence. The email address serves as the primary unique identifier for de-duplication purposes. FlitStack cross-references each Pure Chart contact email against existing Pipedrive Persons before performing the insert operation, preventing duplicate records from being created during the migration process.
Pure Chart
Company
Pipedrive
Organization
1:1Pure Chart company records are transformed into Pipedrive Organization objects with a one-to-one mapping. Organization.Name is a required field in Pipedrive, so if the Pure Chart company name is absent or empty, FlitStack applies 'Unknown Organization' as a placeholder value to ensure data integrity and successful import completion.
Pure Chart
Contact-Company Link
Pipedrive
Person-Organization Association
1:1The relationship between Pure Chart contacts and their associated companies maps directly to Pipedrive's Person.organization_id field on each Person record. When multiple contacts belong to the same organization, FlitStack links each corresponding Person record to the identical Organization identifier, preserving the original relationship structure.
Pure Chart
Deal
Pipedrive
Deal
1:1Pure Chart deal records migrate as Pipedrive Deal objects with all standard fields preserved. Each Deal in Pipedrive requires both a Pipeline ID and a Stage ID at creation time. FlitStack maps Pure Chart deal stage values to the appropriate target Pipedrive pipeline stages by matching stage names or examining their ordinal position within the stage sequence.
Pure Chart
Deal Stage
Pipedrive
Pipeline Stage
1:1Stage names defined in Pure Chart are mapped to corresponding Pipedrive stage names through string matching or an admin-defined mapping table provided before migration. Stages that cannot be matched to existing Pipedrive stages default to the first stage configured in the target pipeline, ensuring every deal receives a valid stage assignment during import.
Pure Chart
Owner
Pipedrive
User
1:1Pure Chart owner identifiers are resolved by performing an email match lookup against the Pipedrive Users API endpoint. Owners with a direct email match receive their corresponding Pipedrive User ID assignment. Unmatched owners are flagged in the migration report and require a fallback Pipedrive user to be specified prior to migration execution.
Pure Chart
Activity (Call)
Pipedrive
Activity (Type: Call)
1:1Call activity records from Pure Chart are created as Pipedrive Activity objects with the Type field set to 'call'. FlitStack preserves the original call date, call duration when available in the source data, and the assigned Person or Deal association for each migrated call record.
Pure Chart
Activity (Email)
Pipedrive
Activity (Type: Email)
1:1Email activities migrate from Pure Chart as Pipedrive Activity objects with Type='email'. The email subject line maps directly to the Activity subject field, while the email body maps to the content field when supported by the target Pipedrive plan tier configuration.
Pure Chart
Activity (Meeting)
Pipedrive
Activity (Type: Meeting)
1:1Meeting records from Pure Chart become Pipedrive Activity objects with Type='meeting'. Start time, end time, location details, and any Person or Deal associations are all preserved during the migration to maintain complete meeting context in the target system.
Pure Chart
Activity (Note)
Pipedrive
Activity (Type: Task)
1:1Note entries in Pure Chart are mapped to Pipedrive Activity objects with Type='task'. The note content maps to either the activity subject line or the body field depending on how Pure Chart structures its note field, ensuring the information remains searchable and accessible after migration.
Pure Chart
Product
Pipedrive
Product
1:1Product catalog items from Pure Chart migrate to Pipedrive Products with a direct field mapping approach. Each Product retains its name, product code derived from the item_id, and associated pricing fields. Deals can reference these Products through deal_product entries to maintain accurate revenue tracking.
Pure Chart
Custom Field (Person)
Pipedrive
Person Custom Field
1:1Custom contact fields defined in Pure Chart require pre-creation in Pipedrive through the POST /personFields API endpoint before data insertion can occur. Pipedrive returns a unique hash key for each custom field, which FlitStack stores in the field mapping configuration for value substitution during the migration data processing phase.
Pure Chart
Custom Field (Deal)
Pipedrive
Deal Custom Field
1:1Custom deal-level fields in Pure Chart map to Pipedrive Deal custom fields through the POST /dealFields API endpoint. Fields that vary based on deal stage require creation as custom fields on the Deal object itself rather than at the stage level to ensure proper data association throughout the pipeline.
Pure Chart
Lead
Pipedrive
Lead
1:1When Pure Chart contains Lead objects, they map directly to Pipedrive Leads which are available on Advanced and higher plan tiers. Leads inherit all standard Person fields and add lead-specific status fields such as lead value, source attribution, and qualification stage that are unique to the Lead object structure.
Pure Chart
Workflow / Automation
Pipedrive
Automation
1:1Workflow definitions configured in Pure Chart do not have a direct equivalent in Pipedrive and cannot be migrated automatically. FlitStack exports the complete workflow definitions as a reference JSON file that your Pipedrive administrator can review and use as a blueprint to rebuild equivalent automations in Pipedrive's Automation builder interface.
| Pure Chart | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Contact-Company Link | Person-Organization Association1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Deal Stage | Pipeline Stage1:1 | Fully supported | |
| Owner | User1:1 | Fully supported | |
| Activity (Call) | Activity (Type: Call)1:1 | Fully supported | |
| Activity (Email) | Activity (Type: Email)1:1 | Fully supported | |
| Activity (Meeting) | Activity (Type: Meeting)1:1 | Fully supported | |
| Activity (Note) | Activity (Type: Task)1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Custom Field (Person) | Person Custom Field1:1 | Fully supported | |
| Custom Field (Deal) | Deal Custom Field1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Workflow / Automation | Automation1:1 | 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.
Pure Chart gotchas
Pricing stacks per office plus per user — model the full bill before committing
AI tools may be add-ons rather than baseline
No public API documentation
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 Pure Chart data model and export schema
FlitStack establishes a connection to Pure Chart through the API interface or file-based export mechanism to conduct a comprehensive inventory of all object types, standard fields, custom fields, and inter-object relationships present in the source system. The audit catalogs owner identifiers, deal stage configurations, pipeline setup details, and the complete range of activity types recorded. This discovery phase identifies fields that have no direct equivalent in Pipedrive, which become candidates for custom field creation, and objects with no Pipedrive equivalent, which receive special handling through notes or require flagging for manual recreation after migration completes.
Create Pipedrive pipelines, stages, and custom fields
Before any data migration begins, FlitStack creates the Pipedrive pipelines and stage columns to match the deal stage configuration present in Pure Chart by executing POST requests to the /pipelines and /stages endpoints. Following pipeline creation, the system creates all custom fields for Person, Organization, Deal, and Activity objects through the respective /Fields API endpoints, capturing the 40-character hash keys returned by Pipedrive in the response for each field created. These hash keys are essential for constructing the field mapping configuration used during the subsequent import phase.
Resolve owners and validate user email matches
FlitStack retrieves Pure Chart owner identifiers and associated email addresses, then queries the Pipedrive Users API to perform email-based matching for each owner record. Owners with a direct email match against an existing Pipedrive user receive their corresponding Pipedrive User ID as the resolved owner assignment. For owners without a match, the migration report flags each unresolved owner with a recommendation that your team either invite the user to join Pipedrive before migration day or designate a fallback Pipedrive user to receive the assignment.
Run sample migration with field-level diff
A representative subset of 100 to 500 records spanning Persons, Organizations, Deals, and Activities migrates through the complete pipeline using the established hash-key field mapping configuration. FlitStack generates a detailed field-level diff report that compares source values from Pure Chart against the corresponding destination values written to Pipedrive. This verification step enables your team to confirm accuracy of stage mapping, verify owner resolution assignments, validate custom field population, and check activity record associations before committing to the full production migration run.
Execute full migration with delta-pickup window
The complete migration executes using Pipedrive's Bulk API with batch sizes dynamically tuned to respect current rate limit constraints. During the cutover window, your team continues working in Pure Chart without interruption. A delta-pickup phase running 24 to 48 hours after the initial migration snapshot captures any records modified or newly created in Pure Chart during the cutover period. FlitStack generates a comprehensive audit log documenting every insert and update operation. The one-click rollback feature can revert Pipedrive to the pre-migration state if post-migration reconciliation reveals unexpected discrepancies requiring reprocessing.
Platform deep dives
Pure Chart
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 Pure Chart 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
Pure Chart: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Pure Chart 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 Pure Chart to Pipedrive migration scoping. Not seeing yours? Book a call.
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