CRM migration

Migrate from Pure Chart to Salesforce Sales Cloud

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

Pure Chart logo

Pure Chart

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

93%

13 of 14

objects map 1:1 between Pure Chart and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Pure Chart and Salesforce Sales Cloud share the same basic CRM object graph — contacts, companies, deals, and activities — but the similarity ends at the schema level. Pure Chart stores everything in a flat, property-bag model where custom fields are first-class citizens from day one. Salesforce requires a separate custom-field workflow for each non-standard property, with RecordTypeId scoping to vary page layouts per deal type. FlitStack AI maps Pure Chart contacts to Salesforce Contacts (or Leads based on lifecycle stage), Pure Chart companies to Accounts with ParentId hierarchy support, and Pure Chart deals to Opportunities with RecordTypeId assignment per source pipeline. We preserve original create dates as custom datetime fields since Salesforce's CreatedDate reflects the migration run, not the original record. Owner resolution happens by email match against Salesforce users, with unmatched owners flagged before migration commits. Custom objects migrate 1:1, but Pure Chart's N:N association model collapses into Salesforce's primary AccountId plus Account Contact Relationships. Activity history (calls, emails, meetings, notes) translates to Salesforce Tasks and Events with original timestamps and parent-record links intact. Workflows, automations, and email templates do not migrate — they require manual rebuild in Salesforce Flow.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Pure Chart objects map to Salesforce Sales Cloud

Each row shows how a Pure Chart object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Contact / Lead (split by lifecycle stage)

1:many
Fully supported

Pure Chart contacts with lifecycle_stage in 'subscriber', 'lead', 'MQL', or 'SQL' route to Salesforce Lead. Contacts with lifecycle_stage in 'customer' or 'evangelist' land as Salesforce Contact. Split happens at migration time based on source lifecycle value; original stage preserved as Lifecycle_Stage__c custom field.

Pure Chart

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Direct map. Pure Chart company hierarchies (parent/child) use Salesforce's ParentId field. Multi-company contacts in Pure Chart (N:N model) collapse to one primary AccountId per contact with additional companies surfaced as Account Contact Relationships on the contact record. During migration, we preserve the parent-child hierarchy so reporting by region or business unit remains intact.

Pure Chart

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Direct map. Pure Chart deal pipelines map to Salesforce Sales Processes keyed by RecordTypeId. Each Pure Chart pipeline = one Salesforce record type. Pipeline stage names map to Opportunity StageName values scoped per record type with probability and forecast category reapplied.

Pure Chart

Pipeline

maps to

Salesforce Sales Cloud

Sales Process + Record Type

1:1
Fully supported

Pure Chart's pipeline object becomes a Salesforce Sales Process. Each pipeline requires its own RecordTypeId in Salesforce so stage pick-list values are correctly scoped per deal type. Your admin creates record types before the migration; FlitStack delivers a schema setup plan specifying which record types are needed.

Pure Chart

Pipeline Stage

maps to

Salesforce Sales Cloud

Opportunity StageName

1:1
Fully supported

Stage names map value-by-value per record type. Stage probability percentages and forecast category assignments reapplied from Salesforce-side configuration. HubSpot stage-entered timestamps preserved as custom datetime fields (Stage_Entered_Date__c) on the Opportunity for historical continuity. If your Pure Chart pipeline includes custom stage names not present in Salesforce, we create matching StageName values and assign probabilities aligned with your historical win rates.

Pure Chart

Lifecycle Stage

maps to

Salesforce Sales Cloud

Custom field on Contact/Lead

1:1
Fully supported

Salesforce has no native lifecycle_stage equivalent. We create Lifecycle_Stage__c as a custom pick-list field on both Lead and Contact with HubSpot's exact values preserved. Stage-change timestamps preserved as Lifecycle_Stage_Updated__c custom datetime field for audit continuity. You can use Lifecycle_Stage__c in list views, reports, and flow criteria to trigger outreach based on the prospect's stage without custom joins.

Pure Chart

Engagement (Call)

maps to

Salesforce Sales Cloud

Task (Type='Call')

1:1
Fully supported

Pure Chart call activities migrate as Salesforce Tasks with Type='Call'. Original call duration, outcome, owner, and timestamp preserved. Task links to parent Contact or Lead via WhatId/WhoId depending on whether the contact routed to Lead or Contact. If the call outcome includes custom disposition codes, we map those to Salesforce CallDisposition values or create a custom field to retain the original categorization.

Pure Chart

Engagement (Email)

maps to

Salesforce Sales Cloud

Task (Type='Email')

1:1
Fully supported

Pure Chart email activities migrate as Salesforce Tasks with Type='Email'. Email subject, body text, and timestamp preserved. Inline attachments require separate file handling — downloaded from Pure Chart and re-uploaded to Salesforce Files with parent record link. For emails with large attachments, we chunk the upload to stay within Salesforce's 25MB per‑file limit and log any exceeding files for manual review.

Pure Chart

Engagement (Meeting)

maps to

Salesforce Sales Cloud

Event

1:1
Fully supported

Pure Chart meetings migrate as Salesforce Events with original start time, end time, subject, location, and attendee list preserved. Meeting body notes map to Event Description. Event links to parent Contact or Lead via WhoId. If the meeting includes resources such as rooms or equipment, we store those details in the Event Location field and add a custom field for resource references.

Pure Chart

Engagement (Note)

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Pure Chart notes migrate as Salesforce Notes (rich-text body preserved). Notes attach to the appropriate parent record — Contact, Lead, Account, or Opportunity — based on the source note's associated entity. If a note references multiple entities, we link it to the primary entity and add a custom multi-select field to list secondary associations for downstream reporting.

Pure Chart

Custom Object

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Fully supported

Pure Chart custom objects map 1:1 to Salesforce custom objects. Custom object API names get the __c suffix. Custom object associations that use Pure Chart's N:N model require Salesforce junction objects — the migration plan surfaces these before the run commits.

Pure Chart

Attachment / File

maps to

Salesforce Sales Cloud

Salesforce Files / ContentDocument

1:1
Fully supported

Pure Chart file attachments on records are downloaded and re-uploaded to Salesforce Files. File size limits apply (Salesforce default 25MB per file). Files link to the parent record via ContentDocumentLink. Inline images in notes are extracted and re-hosted as Salesforce Files.

Pure Chart

Owner / User

maps to

Salesforce Sales Cloud

User (OwnerId)

1:1
Fully supported

Pure Chart owner IDs resolved by email match against Salesforce User records. Unmatched owners are flagged before migration commits — your team either provisions Salesforce users first or assigns records to a fallback owner. No record lands without a valid Salesforce OwnerId.

Pure Chart

Association Label

maps to

Salesforce Sales Cloud

Opportunity Contact Role / Custom Junction Object

1:1
Fully supported

Pure Chart association labels (Decision Maker, Champion, Influencer) that connect contacts to deals map to Salesforce Opportunity Contact Roles for standard roles. Non-standard labels require a custom junction object — your admin chooses whether to recreate every label or collapse into fewer categories.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Lifecycle stage routing decision is permanent at migration time

    Pure Chart's single contact record with lifecycle_stage has no direct Salesforce equivalent. Salesforce splits prospects (Leads) from customers (Contacts), and this routing happens once during migration based on the final lifecycle value. Contacts with 'customer' or 'evangelist' land as Salesforce Contacts; everything else routes to Leads. We preserve the original stage history as Lifecycle_Stage__c and Lifecycle_Stage_Updated__c custom fields, but the Lead/Contact split cannot be reversed after migration without re-running the entire dataset. Plan this routing with your sales ops team before the migration window.

  • Pipeline-to-record-type mapping creates Salesforce schema work before data lands

    Every Pure Chart deal pipeline requires a corresponding Salesforce RecordTypeId so that stage pick-list values are correctly scoped. Teams with three pipelines in Pure Chart end up with three record types in Salesforce — each needing its own page layout, profile assignment, and validation rules. Salesforce record types are not created by the migration; your admin (or our team) must pre-create them based on the schema setup plan we deliver. If record types are missing when data lands, stage mapping will fail for any pipeline that lacks a matching record type.

  • N:N contact-to-company associations collapse to a single AccountId

    Pure Chart allows a contact to be associated with multiple companies natively. Salesforce contacts have a single primary AccountId. We migrate one primary company per contact (most-recently-modified by default, or by your specified rule) and surface remaining associations as Account Contact Relationships. If Pure Chart uses these secondary associations for reporting or workflow logic, your admin will need to rebuild that logic against Account Contact Relationships in Salesforce. During migration, we flag contacts with multiple secondary companies so your admin can review the distribution before finalizing the data.

  • Original create dates require custom fields since Salesforce CreatedDate reflects migration time

    Salesforce's CreatedDate system field is set when the record is inserted during migration — it cannot be backdated to reflect when the record was originally created in Pure Chart. For reporting continuity (tenure, deal age, contact age), we preserve the original create date as Original_Create_Date__c on every record type. Your Salesforce reports will need to reference this custom field instead of CreatedDate for historical analysis. If you rely on CreatedDate for time-sensitive workflows, adjust those automations to trigger on Original_Create_Date__c after migration to avoid stale logic.

  • Custom field API names must be unique per object — collisions require renaming

    Pure Chart custom fields use internal naming conventions that may conflict with Salesforce's __c suffix naming. If a Pure Chart custom field named 'Region' maps to a Salesforce field that already exists (Account.Region is a standard field on some objects), the migration will reject the duplicate API name. We detect these collisions during the field-mapping phase and either map to the existing Salesforce field (if semantically equivalent) or rename the custom field with a distinguishing prefix before creating it in Salesforce.

Migration approach

Six steps for a successful Pure Chart to Salesforce Sales Cloud data migration

  1. Deliver schema setup plan for Salesforce record types and custom fields

    Before any data moves, FlitStack AI analyzes your Pure Chart pipeline count, custom property inventory, and lifecycle-stage configuration. We produce a schema setup plan specifying which Salesforce record types to create, which page layouts to assign, and which custom fields (with __c suffix) to pre-create. Your Salesforce admin (or our team) enacts this plan so the destination org is schema-ready before validation begins.

  2. Resolve owners by email match against Salesforce users

    Pure Chart owner IDs are matched to Salesforce User records by email address. Unmatched owners are flagged in a pre-flight report before migration commits. Your team either provisions the missing Salesforce users before the run or designates a fallback owner. No record lands in Salesforce without a resolvable OwnerId; this prevents orphaned records that would be invisible in Salesforce reports.

  3. Sequence migration: Accounts → Contacts/Leads → Opportunities

    Salesforce enforces referential integrity — Accounts must exist before Contacts (via AccountId) and Opportunities must exist before Opportunity Contact Roles (via OpportunityId). We sequence the migration so foreign keys resolve correctly: Companies migrate first to create Accounts, then Contacts and Leads split by lifecycle stage, then Deals migrate as Opportunities with record-type and stage mapping per pipeline. Activities land last, linked to their parent records by the IDs assigned during earlier phases.

  4. Run sample migration with field-level diff for validation

    A representative slice migrates first — typically 100–500 records spanning contacts, companies, deals, and a few activities. We generate a field-level diff comparing source values against destination values so you can verify lifecycle-stage routing, pipeline-to-record-type mapping, owner resolution, and custom field content before the full run commits. You sign off on the sample before we proceed to full volume. The diff report highlights any missing or mismatched values, enabling rapid identification of mapping issues.

  5. Execute full migration with delta-pickup window and rollback readiness

    The full migration runs against Salesforce using Bulk API for high-volume batches. A delta-pickup window (typically 24–48 hours) captures any Pure Chart records created or modified during the cutover. An audit log records every operation — inserts, updates, skips, and errors. One-click rollback is available if reconciliation fails, reverting Salesforce to its pre-migration state so you can re-diagnose and re-run without data corruption.

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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

Can't find your answer?

Walk through your Pure Chart to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Pure Chart-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 500k+ records, multiple custom objects, or five-plus pipelines requiring separate Salesforce record types extend to 5–7 days. The longest single step is typically the schema setup phase where your admin creates record types and custom fields before data can land — we deliver the plan in advance so that work runs in parallel.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pure Chart.
Land in Salesforce Sales Cloud, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day