CRM migration
Field-level mapping, validation, and rollback between Fireberry and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Fireberry
Source
Mailchimp
Destination
Compatibility
4 of 8
objects map 1:1 between Fireberry and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Fireberry CRM to Mailchimp is a platform-type shift, not a lateral CRM migration. Fireberry is a full all-in-one CRM with Deals, Pipelines, Companies, Custom Objects, and Activity history; Mailchimp is a permission-based email marketing platform with a flat Audience model built around Contacts, Tags, Segments, and Campaigns. The structural mismatch is the core challenge: Deals and Pipeline stages have no direct Mailchimp equivalent, and we resolve this by mapping Deal stage to a tag taxonomy and Pipeline name to a segment group so that the customer's sales-context data remains accessible inside Mailchimp's tag system. We migrate Contacts with all standard fields (name, email, phone, address) and any discovered custom fields as Mailchimp merge fields (FNAME, LNAME, PHONE plus any custom MERGETAG fields). We do not migrate Fireberry Workflows, automations, or Reports as these are not structurally compatible with Mailchimp's Campaign and Automation model; we deliver a written inventory of every automation for the customer's admin to rebuild using Mailchimp's Customer Journey builder. Activity history (calls, meetings, tasks) does not migrate because Mailchimp tracks engagement data (opens, clicks, unsubscribes) from campaigns rather than sales-activity records.
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 Fireberry 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.
Fireberry
Contact
Mailchimp
Audience Member
1:1Fireberry Contact records map 1:1 to Mailchimp Audience Members. We map standard fields (first_name, last_name, email, phone, address) directly. Any custom fields discovered during schema discovery migrate as Mailchimp merge fields (MERGETAG format). Email opt-in status from Fireberry maps to Mailchimp's unsubscribe and cleaned statuses. The contact's Owner (sales rep) maps to a Mailchimp tag (e.g., Owner: Sarah Miller) for rep-based segmentation if needed.
Fireberry
Company
Mailchimp
Tag + Segment (flat taxonomy)
lossyFireberry Company records have no direct Mailchimp equivalent. We map Company name to a tag (e.g., Company: Acme Corp) and optionally to a merge field (COMPANY). If the customer needs to segment by Company in Mailchimp (e.g., all contacts at a specific account), we create a segment group named after the Company and add all linked Contacts. This preserves the Account context without requiring a separate CRM. Companies with no linked Contacts are held in a report for manual review.
Fireberry
Deal
Mailchimp
Tag + Segment
lossyFireberry Deal records have no structural equivalent in Mailchimp's flat Audience model. We resolve the Pipeline name and Deal stage from each Deal record and create a tag taxonomy (e.g., Pipeline: SMB Sales, Stage: Proposal Sent) applied to the linked Contact. This lets the customer's team filter contacts by sales context within Mailchimp using tag-based segments. Deal amount, close date, and probability are stored as merge fields on the Contact for reference. Open Deals are distinguished from Won/Lost Deals via active/inactive tag status.
Fireberry
Custom Object
Mailchimp
Merge Field or Tag Group
lossyFireberry custom objects (user-defined Components with custom fields) discovered during schema discovery are evaluated for Mailchimp migration. Objects with a 1:1 relationship to Contact (e.g., a Subscription or License custom object per contact) migrate as custom merge fields on the Audience Member. Objects with a many-to-many relationship (e.g., Products associated with multiple Contacts) migrate as a tag group. The customer selects the migration strategy during scoping. Any custom object with no clear contact linkage is documented but excluded from the migration.
Fireberry
Custom Fields (on Contact and Company)
Mailchimp
Merge Fields (MERGETAG)
1:1Fireberry custom fields on Contact and Company (discovered via schema enumeration before export) map to Mailchimp merge fields. Mailchimp supports text, number, date, phone, address, and dropdown merge field types. We map Fireberry field types to the nearest Mailchimp type. Dropdown fields in Fireberry migrate as Mailchimp dropdown merge fields if the destination audience has fewer than 15 options; otherwise, they migrate as text. Boolean checkboxes map to Yes/No text values.
Fireberry
Tags and Labels
Mailchimp
Tags
1:1Fireberry tags on Contact and Company records export as flat tag lists. We map them 1:1 to Mailchimp tags, preserving the original tag name. If the same tag appears on both Contact and Company, it appears once in Mailchimp (Mailchimp tags are contact-level, not linked to a source object). Tag duplication is resolved by keeping the union of all tag values per contact.
Fireberry
Owner/User
Mailchimp
Tag or Merge Field
lossyFireberry Owner records (sales reps) map to Mailchimp by resolving owner email to the owner's Mailchimp profile or by creating a tag (Owner: [email protected]) applied to every Contact they own. The customer chooses between tagging (for segmentation by rep in Mailchimp campaigns) or a merge field (for report filtering). Inactive owners are preserved as historical tags rather than removed.
Fireberry
Attachments
Mailchimp
External Links Documented
1:1Fireberry file attachments linked to Contacts and Companies are documented as external references (file URL, record ID, file name, upload date) in a supplemental CSV delivered alongside the Audience import. Mailchimp does not natively host file attachments per contact. Any attachment that the customer needs to preserve requires a separate hosting solution (Google Drive link, SharePoint link) documented in the supplemental export.
| Fireberry | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member1:1 | Fully supported | |
| Company | Tag + Segment (flat taxonomy)lossy | Fully supported | |
| Deal | Tag + Segmentlossy | Fully supported | |
| Custom Object | Merge Field or Tag Grouplossy | Fully supported | |
| Custom Fields (on Contact and Company) | Merge Fields (MERGETAG)1:1 | Fully supported | |
| Tags and Labels | Tags1:1 | Mapping required | |
| Owner/User | Tag or Merge Fieldlossy | Fully supported | |
| Attachments | External Links Documented1:1 | Mapping required |
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.
Fireberry gotchas
Free plan caps at 3 Projects and 100+ Components
Custom Objects and Components require explicit schema discovery
Workflow automations do not export as reusable definitions
Billing cycle determines the migration window
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
Schema discovery and contact hygiene audit
We connect to the customer's Fireberry instance and run a schema discovery pass that enumerates every active object, custom field, and Component definition. We cross-reference this against the contact export to identify any custom field that is referenced in the data but not defined in the schema. We simultaneously audit the contact list for missing emails, duplicate records, inactive contacts (no engagement in 12+ months), and contacts with hard bounce flags in Fireberry. The discovery output is a migration manifest listing every field to be mapped and a hygiene recommendation for the customer's approval before any export begins.
Mailchimp audience setup and merge field provisioning
We create the destination Mailchimp Audience (or confirm an existing one if the customer already has Mailchimp). We provision all merge fields during this step: standard Mailchimp fields (FNAME, LNAME, PHONE, ADDRESS) plus any custom MERGETAG fields corresponding to Fireberry custom fields. We configure dropdown merge fields with their option sets, date fields with the correct format, and any boolean fields as Yes/No text. We verify the audience against Mailchimp's plan limits (Free: 500, Essentials: up to 100,000, Standard: up to 500,000) before proceeding.
Domain authentication verification
We guide the customer through Mailchimp's domain authentication process: adding DKIM and SPF records to their DNS, configuring DMARC alignment, and verifying the sending domain in Mailchimp's DNS validation check. This step cannot be skipped and typically takes one to three business days depending on DNS propagation. We do not begin the contact import until Mailchimp confirms authentication status. If the customer is migrating from a shared Fireberry sending domain, we also document the implications for deliverability.
Contact export, transform, and import
We export Fireberry Contacts with all standard fields and any discovered custom fields. We apply the hygiene pass (removing or flagging contacts per the customer's hygiene decision). We transform the export into Mailchimp's bulk-import format (CSV with email address as the primary key). We resolve Company names to tags, Deal pipeline and stage to tags, and Owner email to either a tag or merge field. We import via Mailchimp's bulk import API, chunking by batches of 5,000 contacts to stay within rate limits. Each batch emits a success/rejection count; rejected records (duplicates, invalid email formats) are logged for manual review.
Tag taxonomy activation and segment validation
We activate the tag taxonomy created during import (Company tags, Deal stage tags, Owner tags) and validate that Mailchimp's tag-based segments correctly return the expected contact counts. We spot-check 20-30 migrated contacts against the Fireberry source to verify field-level accuracy (name spelling, phone number format, merge field values). We validate that the unsubscribe status has been correctly set for any contacts who had opted out in Fireberry. Any mapping corrections happen in this step before cutover.
Cutover, automation inventory handoff, and validation
We freeze writes in Fireberry (or the last-modified timestamp is captured for a delta migration if the freeze is not feasible). We run a final delta import for any contacts modified during the migration window. We confirm Mailchimp audience size matches the expected record count. We deliver the automation inventory document listing every Fireberry Workflow with its trigger, conditions, and actions and a recommended Mailchimp Customer Journey equivalent. We do not rebuild automations in Mailchimp as part of the migration scope. We run a 48-hour post-migration monitoring window for bounce rate and delivery anomalies.
Platform deep dives
Fireberry
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 Fireberry 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
Fireberry: Not publicly documented.
Data volume sensitivity
Fireberry 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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