CRM migration

Migrate from Pure Chart to Mailchimp

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

Pure Chart logo

Pure Chart

Source

Mailchimp

Destination

Mailchimp logo

Compatibility

100%

10 of 10

objects map 1:1 between Pure Chart and Mailchimp.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Pure Chart stores contacts, companies, custom properties, engagement scores, tags, and campaign activity in a flat or lightly nested data model. Mailchimp uses audiences as the container for all subscriber data, merge fields for custom properties, and a tag-based taxonomy for segmentation. The migration carries contacts and their full property set into Mailchimp subscribers, maps Pure Chart custom fields to Mailchimp merge fields, and applies tags to preserve segment membership. We surface campaign history and engagement scores as merge fields so you retain reference data even though Mailchimp only displays engagement going forward. Workflows and automations do not migrate — they must be rebuilt in Mailchimp Customer Journeys or a third-party tool. We export Pure Chart workflow definitions as a rebuild reference before cutover. The mechanism is API-based read from Pure Chart and API/Bulk import into Mailchimp, with scoped credentials on both sides and a delta-pickup window capturing records created or modified during the cutover window.

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

Mailchimp logo

Mailchimp

What's pulling them in

  • Generous free tier with up to 500 contacts allows small teams to validate email marketing before committing to a paid plan.
  • Intuitive drag-and-drop email builder and 130+ templates let non-technical users produce professional campaigns without HTML or CSS knowledge.
  • 300+ native integrations, especially Canva and Shopify, make it easy to connect existing tools without custom development work.
  • Detailed open-rate, click-through, and campaign analytics give small businesses actionable insights without a dedicated marketing team.
  • One-platform consolidation of email campaigns, automations, landing pages, and ads reduces tool sprawl for lean marketing teams.

Object mapping

How Pure Chart objects map to Mailchimp

Each row shows how a Pure Chart object lands in Mailchimp, 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 / Subscriber

maps to

Mailchimp

Subscriber in Audience

1:1
Fully supported

Pure Chart contacts map directly to Mailchimp subscribers. Every contact property becomes either a native Mailchimp field or a merge field. The email address is the primary key — Mailchimp deduplicates by email on import, keeping the most recently updated record.

Pure Chart

Company / Account

maps to

Mailchimp

Merge Fields (COMPANY, INDUSTRY, WEBSITE)

1:1
Fully supported

Mailchimp has no standalone company object. Pure Chart company data (name, industry, website, employee count) maps to merge fields on the subscriber record. Multiple contacts from the same company each carry the company data as individual merge field values. If you need to query company-level aggregates, you can use external reporting tools that join on the company name stored in the merge field.

Pure Chart

Custom Property

maps to

Mailchimp

Merge Field

1:1
Fully supported

Every Pure Chart custom contact property becomes a Mailchimp merge field. We match Pure Chart property types to Mailchimp field types: text to text, number to number, date to date, phone to phone. Array or nested JSON values are flattened to pipe-delimited text with a warning note in the migration plan.

Pure Chart

Tag / Label

maps to

Mailchimp

Tag

1:1
Fully supported

Pure Chart tags map 1:1 to Mailchimp tags. Tags are applied directly during the contact import. Mailchimp tags are additive — if a contact has five tags in Pure Chart, all five are applied in Mailchimp. No tag limit applies on Mailchimp's side.

Pure Chart

Segment / Saved Filter

maps to

Mailchimp

Segment

1:1
Fully supported

Pure Chart segments (saved filter combinations) are translated into Mailchimp segment conditions. Each segment's filter logic — property conditions combined with tag logic — is recreated as a Mailchimp Saved Segment. You review and approve the segment mapping before the migration run.

Pure Chart

Campaign Send History

maps to

Mailchimp

Campaign Record (metadata) + Merge Fields (historical metrics)

1:1
Fully supported

Pure Chart campaign names, subjects, and send dates are mapped to Mailchimp campaign records for reference. Aggregate open and click rates from Pure Chart are stored as merge fields (LAST_OPEN_DATE, HISTORICAL_CLICK_RATE) so the data is visible on each subscriber record even though Mailchimp's own reporting starts post-migration.

Pure Chart

Engagement Score / Activity

maps to

Mailchimp

Merge Fields (engagement history) + Post-migration tracking

1:1
Fully supported

Pure Chart engagement scores (open count, click count, last activity date) are stored as custom merge fields on each subscriber. Mailchimp tracks opens and clicks natively from migration day forward; pre-migration engagement history is preserved in merge fields so your team can reference it in filters or conditional content.

Pure Chart

Workflow / Automation

maps to

Mailchimp

No equivalent — export for rebuild

1:1
Fully supported

Pure Chart workflow definitions (triggers, conditions, time delays, actions) have no Mailchimp equivalent. We export the full workflow definition as a JSON reference file before migration. Your Mailchimp admin rebuilds triggers using Customer Journeys or a third-party automation tool (Zapier, Make).

Pure Chart

Email Template

maps to

Mailchimp

Template

1:1
Fully supported

Pure Chart email templates migrate as Mailchimp templates. HTML-based templates copy directly; drag-and-drop templates are recreated as Mailchimp Builder templates using the layout and content as a guide. Images are re-hosted to Mailchimp's content delivery network. You will receive a template mapping document listing each original Pure Chart template alongside its Mailchimp counterpart so your design team can verify layout fidelity and update links if needed.

Pure Chart

Unsubscribe / Bounce Record

maps to

Mailchimp

Suppressed Subscriber

1:1
Fully supported

Pure Chart unsubscribes and bounces are imported into Mailchimp as suppressed (unsubscribed) contacts before any campaign sends. This is mandatory — failing to suppress before the first send damages sender reputation and deliverability. We run this import as Step 1 of the migration.

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

Mailchimp logo

Mailchimp gotchas

High

Contact count includes unsubscribed and non-subscribed records

High

Automation workflows cannot be exported

Medium

Account suspensions trigger silently during migration

Medium

Template HTML is Mailchimp-specific and may not render in other platforms

Medium

E-commerce data requires active store connection

Pair-specific challenges

  • Workflows and automations do not migrate — they must be rebuilt

    Pure Chart automation logic (triggers, conditions, time delays, and action sequences) has no structural equivalent in Mailchimp. Mailchimp's Customer Journeys handles basic triggered-send flows but does not import Pure Chart's workflow definitions. FlitStack AI exports the full workflow definition as a JSON reference file so your Mailchimp admin has the logic documented before rebuilding. Expect 1–3 weeks of rebuild time for complex automation sets with multiple branches and conditions. The export includes each branch's conditional thresholds, time delays, and action targets. Your Mailchimp admin can reference this JSON to map triggers to Customer Journeys and rebuild the flow without losing the original intent.

  • Suppression list must import before any active sends

    Mailchimp's sender reputation is tied to its suppression list. Any Pure Chart unsubscribe or bounce record that is not imported as suppressed before your first campaign send will result in that address receiving a fresh email — damaging your deliverability and inbox placement. We run the suppression import as the first step of the migration run, before any active subscriber records are written. This is non-negotiable and is automated in our migration pipeline.

  • Array and nested custom fields must be flattened

    Mailchimp merge fields support only flat scalar types: text, number, date, phone number, and address. Pure Chart custom properties that store arrays (for example, a field containing multiple product interest IDs) or nested JSON objects cannot map directly. We detect these fields during the audit phase and flatten them to pipe-delimited text — for example, 'product_a|product_b|product_c' — stored in a text merge field. You should review whether downstream filters rely on individual array values and adjust segment conditions accordingly.

  • Engagement history does not appear in Mailchimp's native reporting

    Open and click data tracked in Pure Chart before migration is stored in merge fields on each subscriber profile. However, Mailchimp's native campaign reporting dashboard — open rate, click rate, engagement timeline — only reflects activity that occurs after migration. Historical open and click counts will not appear in Mailchimp's campaign reports. We surface them as custom merge fields and include them in the export data so you can build a supplemental reporting view in a spreadsheet or BI tool if needed.

  • Duplicate contacts resolve by most-recent update — older notes may be dropped

    Mailchimp deduplicates contacts by email address on import, keeping the record with the most recent update timestamp. If a subscriber has been manually updated in Pure Chart with notes or custom property changes after the migration export was taken, Mailchimp's deduplication will use Pure Chart's last-modified date as the tiebreaker. Contacts with identical email addresses but different names in Pure Chart (a data quality issue itself) will collapse to one record — the most recently updated — and the other name will be lost unless your team reviews duplicates before migration.

Migration approach

Six steps for a successful Pure Chart to Mailchimp data migration

  1. Export Pure Chart contacts and suppressions via API

    FlitStack AI connects to Pure Chart using scoped read credentials and exports all contacts, their properties (standard and custom), company data, tags, and engagement scores. Simultaneously, we export the full suppression list — every unsubscribed and bounced address — as a separate file. This export runs before any Mailchimp-side work begins so we have a clean snapshot of Pure Chart's current state. We validate record counts and field coverage against the export summary before proceeding.

  2. Create Mailchimp audience and merge field schema

    Before contacts are written, we create the Mailchimp audience and define all merge fields to match the exported Pure Chart property set. We type-match every field: text properties to text merge fields, numbers to number merge fields, dates to date merge fields. For array-type or nested fields, we create a text fallback and document the flattening logic. Merge fields that exceed Mailchimp's 40-per-audience limit are flagged with a consolidation recommendation before the migration runs.

  3. Run suppression import first, then sample migration with diff

    The suppression list (unsubscribes and bounces) is imported as Step 1 of the Mailchimp write pipeline so every suppressed address is registered before any active subscriber arrives. Then we run a sample migration of 200–500 contacts covering a representative cross-section of merge fields, tag distributions, and engagement states. We generate a field-level diff comparing the Pure Chart export against what landed in Mailchimp. You review and approve the diff output before the full run commits.

  4. Full migration run with delta-pickup window

    All contacts, tags, segment membership, and custom properties are written to Mailchimp in the approved schema. Engagement history from Pure Chart is applied as merge fields on each subscriber record. Campaign send history is preserved in the export reference file and documented in the migration summary. A 24–48 hour delta-pickup window runs after the full import, capturing any Pure Chart contacts created or modified during the cutover period so Mailchimp reflects the final state at go-live.

  5. Validate subscriber counts, suppression coverage, and tag application

    After the delta pickup, we run a reconciliation report comparing Pure Chart record counts by status (subscribed, unsubscribed, bounced) against Mailchimp audience counts. We verify tag application rates — what percentage of contacts received their expected tags — and spot-check merge field population on a random sample of records. We deliver the full migration audit log, the Pure Chart workflow JSON export, and a segment-mapping reference document for your Mailchimp admin.

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.
Mailchimp logo

Mailchimp

Destination

Strengths

  • Free plan up to 500 contacts makes it the lowest-friction entry point for new email marketers.
  • Drag-and-drop builder and template library produce polished emails without design or coding skills.
  • Strong deliverability reputation backed by years of email infrastructure expertise.
  • 300+ native integrations cover the most common marketing stack combinations out of the box.
  • Consolidated platform for email, automation, landing pages, and ads reduces the number of tools small teams must manage.

Weaknesses

  • Contact-based pricing model charges for unsubscribed and non-subscribed records, inflating costs relative to competitors.
  • Five-step automation limit on Standard tier forces upgrades for basic customer journeys, a frequently cited frustration.
  • Template HTML is Mailchimp-specific and does not export cleanly for use in other email platforms.
  • Post-Intuit roadmap uncertainty means customers cannot confidently plan long-term platform investments.
  • Account suspension risk without clear pre-warning disrupts campaign scheduling for affected businesses.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Mailchimp.

  • Object compatibility

    B

    1 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 Mailchimp 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 Mailchimp data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

A straightforward list migration — contacts, tags, and standard custom fields — runs 48–72 hours of clock time for under 25,000 subscribers. Migration complexity grows with custom field count and whether historical engagement data needs merge-field mapping. Large lists with 100,000+ contacts and complex custom schemas typically run 5–10 days. Workflow rebuild time (handled separately) adds 1–3 weeks depending on automation complexity. We provide a detailed timeline estimate after reviewing your Pure Chart export.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pure Chart.
Land in Mailchimp, intact.

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