CRM migration
Field-level mapping, validation, and rollback between Groundhogg and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Groundhogg
Source
Mailchimp
Destination
Compatibility
9 of 10
objects map 1:1 between Groundhogg and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Groundhogg to Mailchimp is a deliberate choice to trade a WordPress-bound CRM for a cloud-native email platform with superior deliverability infrastructure. Groundhogg stores contacts, companies, deals, and automation flows locally in the WordPress database; Mailchimp manages audience members in its own cloud with its own sending reputation. The migration is structurally straightforward for contacts, tags, and custom fields, but Groundhogg's Deals, Pipeline Stages, Companies, activity timelines, and automation Flows have no Mailchimp equivalent. We export Deals and Pipeline Stages as a documented CSV, preserve Tags as Mailchimp Tags, map Custom Fields to Merge Fields, and carry forward unsubscribes and bounces as a suppression list so the destination account starts with a clean deliverability profile. Flows and Tracks do not migrate; we document the automation logic so it can be rebuilt in Mailchimp Customer Journeys.
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 Groundhogg 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.
Groundhogg
Contact
Mailchimp
Audience Member
1:1Groundhogg Contacts map to Mailchimp Audience Members. The email address is the primary key and dedupe field. Standard properties (first name, last name, phone, address) map to Mailchimp Merge Fields FNAME, LNAME, PHONE, and the address merge fields. Any contact without a valid email address is held in a skip queue and reported separately because Mailchimp does not allow members without email.
Groundhogg
Tag
Mailchimp
Tag
1:1Groundhogg's tag-based taxonomy maps directly to Mailchimp Tags. Tags are exported as a flat list per contact and applied to the corresponding Mailchimp Member. Groundhogg does not store tag hierarchy; Mailchimp Tags are similarly flat, so no structural transformation is required. Tag names are preserved exactly as they appear in Groundhogg. Contacts with multiple tags receive all tags in Mailchimp.
Groundhogg
Custom Field
Mailchimp
Merge Field
1:1Groundhogg custom fields map to Mailchimp Merge Fields. Text fields map to Mailchimp text type, date fields to date type, number fields to number type, and dropdown/choice fields to dropdown or radio merge field types. Groundhogg multi-checkbox fields map to Mailchimp address or text fields depending on the data. We pre-create the merge field schema in the destination Mailchimp Audience before importing any members so that field data is written on first pass.
Groundhogg
Broadcast
Mailchimp
Campaign (archived)
1:1Groundhogg Broadcast metadata (subject line, send date, recipient count) is exported as a documentation record. Mailchimp does not store sent broadcast history as a distinct object that can be imported from an external source. We document the broadcast history as a CSV that the customer's admin can reference when building new Mailchimp Campaigns. Recipients who received a broadcast in Groundhogg are already present as Members and receive their engagement data in Mailchimp going forward.
Groundhogg
Activity History
Mailchimp
Member Activity (campaign-level)
1:1Groundhogg activity logs (email opens, link clicks, form submissions, tag applied/removed) are exported per contact and stored as a contact-level activity history document in the migration artifact. Mailchimp tracks engagement at the campaign level (open, click, bounce, unsub) per member rather than as a per-event activity log. We preserve the activity timestamp and event type as a JSON log attached to the contact record so that the customer's admin has a reference file even though the activity does not render as a native timeline in Mailchimp.
Groundhogg
Note
Mailchimp
Note (annotation via Merge Field or external log)
1:1Groundhogg contact-level Notes map to a dedicated Note Merge Field in Mailchimp (type: text, long) or are exported as a CSV log paired to the Member by email address. Mailchimp does not have a native Notes object on Members. We recommend creating a dedicated Merge Field (e.g., GH_NOTES) to hold the most recent note content, with the full note history preserved in the migration artifact CSV for the admin to reference or import into a connected knowledge base tool.
Groundhogg
Company
Mailchimp
None (no equivalent)
1:1Groundhogg Companies (available in Plus and above) have no Mailchimp equivalent. Mailchimp is an audience-centric platform without an Account or Company object. We export Companies as a documented CSV with company name, address, phone, and associated contact email addresses. The customer's admin decides whether to incorporate company data into a CRM adjunct, into Mailchimp Merge Fields on the Member record, or to handle it as a separate reference document.
Groundhogg
Deal / Opportunity
Mailchimp
None (no equivalent)
1:1Groundhogg Deals and Pipeline Stages (Pro tier and above) have no Mailchimp equivalent. Mailchimp does not support a deal, opportunity, or pipeline object. We export Deals with stage name, deal value, close date, and associated contact email as a documented CSV. The customer may incorporate deal data into a connected CRM (e.g., HubSpot, Salesforce, or a lightweight CRM) post-migration, or document the pipeline structure as a reference for a future CRM implementation.
Groundhogg
Flow (Automation Sequence)
Mailchimp
Customer Journey (documented for rebuild)
lossyGroundhogg Flows cannot be exported as reusable automation templates via the REST API. We export the Flow trigger type, step count, step names, and step sequence as a written automation audit document. The customer's admin uses this document to rebuild equivalent Customer Journeys in Mailchimp. Mailchimp Customer Journeys use a trigger-action model (e.g., 'joins audience' → 'wait 3 days' → 'send email') that differs structurally from Groundhogg's conditional branching builder, so the rebuild is manual and not automated by FlitStack AI.
Groundhogg
Owner (WP User)
Mailchimp
None (no equivalent)
1:1Groundhogg maps contacts to WordPress user IDs as owners. Mailchimp does not have an Owner or User assignment model on Members. We do not migrate owner assignments. If the customer needs team-member attribution on contacts post-migration, we recommend adding a dedicated Merge Field (OWNER_EMAIL) or connecting Mailchimp to a CRM where ownership is a first-class object.
| Groundhogg | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Field | Merge Field1:1 | Fully supported | |
| Broadcast | Campaign (archived)1:1 | Fully supported | |
| Activity History | Member Activity (campaign-level)1:1 | Mapping required | |
| Note | Note (annotation via Merge Field or external log)1:1 | Fully supported | |
| Company | None (no equivalent)1:1 | Fully supported | |
| Deal / Opportunity | None (no equivalent)1:1 | Fully supported | |
| Flow (Automation Sequence) | Customer Journey (documented for rebuild)lossy | Fully supported | |
| Owner (WP User) | None (no equivalent)1:1 | 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.
Groundhogg gotchas
Email deliverability is fully self-hosted
Automation flows do not export as logic
API rate limits are host-dependent, not Groundhogg-enforced
Feature availability is tier-dependent and affects what we export
Mailchimp gotchas
Contact count includes unsubscribed and non-subscribed records
Automation workflows cannot be exported
Account suspensions trigger silently during migration
Template HTML is Mailchimp-specific and may not render in other platforms
E-commerce data requires active store connection
Pair-specific challenges
Migration approach
Discovery and audience scoping
We audit the source Groundhogg installation: active plan tier (Basic/Plus/Pro/Agency), total contact count, tag taxonomy size and nesting, custom field count and types, active Flows and Tracks, Deals and Pipeline Stage names, Company record count, and engagement log volume. We also profile the sending history including bounce rate, unsubscribe rate, and any evidence of deliverability damage. The discovery output is a written migration scope specifying what migrates to Mailchimp, what exports as CSV, and what is documented for rebuild.
Suppression list and bounce audit
We export all unsubscribed and bounced contacts from Groundhogg and format them as a Mailchimp-compatible suppression list. This is the first data written to the destination Mailchimp account so that no previously opted-out or hard-bounced addresses are re-imported. We also flag any contacts with invalid email formats or domain-level soft bounces for re-confirmation before import.
Merge field schema creation in Mailchimp
We pre-create the Merge Field schema in the destination Mailchimp Audience before any member data is imported. Each Groundhogg custom field is mapped to a Mailchimp Merge Field with the appropriate type (text, number, date, phone, address, dropdown). The field order and labels match Groundhogg's naming so that the customer's admin recognizes the data post-migration. Tags are not created as Merge Fields; they are applied at the member level during import.
Contact import with tag application
We import Contacts in batches using Mailchimp's API or CSV import with batch processing. Each contact is matched by email address (the dedupe key). Tags are applied per-contact during import using the tag list extracted from Groundhogg. Owner assignments, notes, and activity log references are carried as separate migration artifacts but not written to the Member record except where a dedicated Merge Field is used for note content. Unsubscribed and bounced contacts are excluded from the member import using the suppression list from Step 2.
Company, Deal, and Flow documentation handoff
We export Groundhogg Companies as a CSV with associated contact email for cross-reference. We export Deals and Pipeline Stages as a CSV with stage name, deal value, close date, and contact email. We document every active Flow and Track with trigger type, step count, step names, and step sequence order in a written Automation Audit. These artifacts are delivered as a structured document set for the customer's admin to incorporate into a CRM adjunct or use as a rebuild reference for Mailchimp Customer Journeys.
Cutover, delta sync, and validation
We freeze Groundhogg writes during the cutover window and run a final delta migration of any contacts modified or added during the migration period. We validate the Mailchimp audience member count, tag distribution, and suppression list size against the source totals and deliver a reconciliation report. We support a 72-hour post-cutover window to resolve any import discrepancies. We do not configure Mailchimp domain authentication or Customer Journeys as part of the migration scope; those are admin-level setup steps the customer completes before first send.
Platform deep dives
Groundhogg
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Groundhogg and Mailchimp.
Object compatibility
1 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
Groundhogg: Not enforced by Groundhogg; governed by host, CDN, or security plugin limits.
Data volume sensitivity
Groundhogg 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
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