CRM migration

Migrate from Pure Chart to Pipedrive

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

Pure Chart logo

Pure Chart

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

15 of 15

objects map 1:1 between Pure Chart and Pipedrive.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pure Chart logo

Pure Chart

What's pushing teams away

  • Per-office + per-user pricing stacks fast for mid-size practices: a 10-user single office runs ~$470/month before add-ons.
  • AI features (transcription, virtual receptionist, X-ray analysis) appear to be add-ons rather than universal inclusions — net price climbs with usage.
  • Vendor does not publish a public developer API portal — custom integrations require vendor engagement.
  • Smaller third-party reviewer footprint than Dentrix or Open Dental — less independent benchmarking.
  • Multi-location operators with established Carestream/Dolphin imaging stacks may face integration scoping versus dedicated dental imaging platforms.

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 Pure Chart objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

Pure 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

maps to

Pipedrive

Organization

1:1
Fully supported

Pure 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

maps to

Pipedrive

Person-Organization Association

1:1
Fully supported

The 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

maps to

Pipedrive

Deal

1:1
Fully supported

Pure 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

maps to

Pipedrive

Pipeline Stage

1:1
Fully supported

Stage 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

maps to

Pipedrive

User

1:1
Fully supported

Pure 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)

maps to

Pipedrive

Activity (Type: Call)

1:1
Fully supported

Call 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)

maps to

Pipedrive

Activity (Type: Email)

1:1
Fully supported

Email 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)

maps to

Pipedrive

Activity (Type: Meeting)

1:1
Fully supported

Meeting 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)

maps to

Pipedrive

Activity (Type: Task)

1:1
Fully supported

Note 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

maps to

Pipedrive

Product

1:1
Fully supported

Product 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)

maps to

Pipedrive

Person Custom Field

1:1
Fully supported

Custom 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)

maps to

Pipedrive

Deal Custom Field

1:1
Fully supported

Custom 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

maps to

Pipedrive

Lead

1:1
Fully supported

When 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

maps to

Pipedrive

Automation

1:1
Fully supported

Workflow 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.

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.

Pure Chart logo

Pure Chart gotchas

Medium

Pricing stacks per office plus per user — model the full bill before committing

Medium

AI tools may be add-ons rather than baseline

High

No public API documentation

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

  • Pipedrive custom field hash keys require pre-creation before bulk import

    Pipedrive assigns random 40-character hash keys to custom fields when created via POST /personFields, /organizationFields, or /dealFields. These hash keys are required in the bulk import payload. If Pure Chart has 20+ custom fields, each must be created in Pipedrive first and the resulting hash keys stored in a mapping table before migration data can reference them. FlitStack creates the custom fields and maintains the hash-key mapping as part of the migration preparation phase.

  • Token-based rate limits affect bulk migration throughput

    Pipedrive introduced token-based rate limits in December 2024. The API enforces limits per token that restrict requests per minute and per day depending on plan tier. Large migrations from Pure Chart may hit these limits during bulk inserts, requiring FlitStack to use staggered batch processing with exponential backoff. We monitor 429 responses and adjust batch sizes dynamically to avoid exceeding Pipedrive's fair-use thresholds while completing the migration within the delta-pickup window.

  • Pipeline and stage columns must exist before deal imports run

    Pipedrive deals are tied to a specific Pipeline ID and Stage ID at insert time. If the target pipeline and stages do not exist in Pipedrive before migration, deal inserts fail. FlitStack reads the Pure Chart deal stage configuration first, creates matching pipelines and stages in Pipedrive via the /pipelines and /stages endpoints, then maps Pure Chart stage names to the newly created stage IDs before moving contacts and deals into the account.

  • Activities without a parent Person or Deal require fallback assignment

    Pipedrive Activity objects have optional person_id and deal_id fields that establish the relationship to the associated contact or deal record. When a Pure Chart activity references a contact or deal that did not migrate successfully due to de-duplication or migration errors, the resulting activity record exists without a valid parent association. FlitStack identifies these orphan activities during the migration audit phase and assigns them to a designated fallback Person record or creates a special 'Migrated Data' organization specifically for orphaned activity records, ensuring that valuable activity history remains accessible even when the original parent record linkage is unavailable.

  • Pure Chart custom field data types may not match Pipedrive field types

    Pure Chart may store date values as text strings in various formats, numeric values with locale-specific formatting such as thousand separators and decimal punctuation, or multi-select values as JSON arrays containing multiple option selections. Pipedrive custom fields enforce strict data type requirements including string, varchar, date, double, set, and user_id field types. FlitStack parses each custom field value from Pure Chart and applies appropriate type coercion logic, including parsing ISO date strings, stripping locale formatting from numeric values, and converting JSON arrays into pipe-delimited strings compatible with set field types, before inserting data into Pipedrive to ensure field validation passes successfully.

Migration approach

Six steps for a successful Pure Chart to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Pure Chart logo

Pure Chart

Source

Strengths

  • Transparent published per-office and per-user pricing.
  • Scales from solo to 600+ location DSOs in one product.
  • Bundled GPS timeclock, payroll, and door access modules beyond standard dental PMS scope.
  • Multi-location production analytics and dashboards.
  • Free 14-day trial without credit card.

Weaknesses

  • Costs stack as offices and users grow.
  • AI capabilities are largely add-ons rather than baseline inclusions.
  • No public API documentation.
  • Limited third-party reviewer corpus relative to entrenched dental PMS leaders.
  • Imaging integrations depend on vendor relationships — confirm against existing imaging stack.
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?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Pure Chart and Pipedrive.

  • Object compatibility

    B

    3 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

    Pure Chart: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Pure Chart 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 Pure Chart to Pipedrive data migrations

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

Can't find your answer?

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The majority of Pure Chart to Pipedrive migrations complete within 24 to 72 hours for datasets containing under 25,000 records. Larger datasets exceeding 100,000 records or requiring migration of 50 or more custom fields typically extend to a 3 to 7 day timeline. The most time-intensive steps involve creating Pipedrive custom fields through individual API POST requests, with each field requiring a separate API call, and resolving stage mapping across multiple deal pipelines when complex stage configurations exist.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pure Chart.
Land in Pipedrive, intact.

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