CRM migration
Field-level mapping, validation, and rollback between Spin CRM and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Spin CRM
Source
Mailchimp
Destination
Compatibility
6 of 8
objects map 1:1 between Spin CRM and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Spin CRM and Mailchimp serve different functions, which shapes every migration decision. Spin CRM is a lightweight sales CRM built around Leads, Contacts, Companies, Deals, and Activity tracking. Mailchimp is an email marketing platform whose CRM layer is built around Audiences, Contacts, Tags, Segments, and Campaigns. The core migration maps Spin CRM Contacts to Mailchimp Audience members and Spin CRM Company names to a Company merge field or tag group. Spin CRM Deals, pipeline stages, sales forecasting data, and Activity history (calls, meetings, tasks) have no direct Mailchimp equivalent; we document these gaps clearly so the customer's admin understands what is not moving. The migration proceeds via CSV because Spin CRM does not publish a REST API endpoint reference, which constrains both the export method (per-object settings-based CSV download) and the timing (exports taken as close to migration day as feasible to minimize stale-data risk). We validate field headers against the customer's reported custom field list before import, apply a contact hygiene pass to reduce bounce risk before the first Mailchimp send, and deliver a written inventory of any automation or workflow patterns the customer should rebuild in Mailchimp's Automation builder post-migration.
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 Spin CRM 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.
Spin CRM
Contact
Mailchimp
Audience Member (Subscriber)
1:1Spin CRM Contact records map to Mailchimp Audience members. The primary mapping keys are email address (FNAME, LNAME, EMAIL) and phone number. All standard contact fields (name, email, phone, company association) map to Mailchimp's required and standard merge fields. The mapping type is 1:1 because each Contact becomes one Audience member, though the customer may have multiple Audiences (separate lists) which requires an Audience assignment decision during scoping.
Spin CRM
Company
Mailchimp
Merge Field (COMPANY) or Tag Group
lossySpin CRM Companies do not have a native Mailchimp equivalent. Mailchimp does not have an Account or Organization object separate from Contacts. The recommended strategy is to create a COMPANY merge field (TEXT type) on the Mailchimp Audience and populate it from Spin CRM's company name field. An alternative is to create a tag group named 'Company' and apply company names as tags for segmentation purposes. The customer chooses the strategy during scoping based on whether company-level segmentation is needed.
Spin CRM
Custom Fields (Contacts)
Mailchimp
Merge Fields
lossySpin CRM custom fields on Contacts map to Mailchimp Merge Fields scoped per Audience. We review the exported CSV column headers against the customer's reported custom field list during scoping. Mailchimp supports TEXT, NUMBER, DATE, ADDRESS, and PHONE merge field types. We create the matching merge fields in the destination Audience before import and map the source values through the transform layer. Any custom field not exposed in the CSV is flagged for customer review before import.
Spin CRM
Lead
Mailchimp
Audience Member (status awareness)
1:1Spin CRM Lead records map to Mailchimp Audience members in the same way as Contacts. We apply a 'Source: Spin CRM Lead' tag during import to distinguish leads from customers in the Mailchimp Audience. The customer may alternatively choose to create a separate Audience for Spin CRM Leads to keep lead and customer segments separate, which we configure during scoping.
Spin CRM
Deal
Mailchimp
Not Migrated (No Equivalent)
1:1Spin CRM Deals have no Mailchimp equivalent. Mailchimp does not have a deal, opportunity, pipeline, or sales forecasting object. Deal values, stages, owners, and expected close dates cannot be migrated into Mailchimp's data model. We document the Deal records in the migration scope summary and recommend that the customer maintain Deal records in a separate spreadsheet or move to a dedicated CRM if deal tracking is required.
Spin CRM
Pipeline / Stages
Mailchimp
Not Migrated (No Equivalent)
1:1Spin CRM pipeline stages (fully customizable per the platform's design) have no Mailchimp equivalent. Mailchimp uses Tags and Segments for contact classification, not pipeline stages. We capture the full stage configuration during scoping and deliver it as a written reference document for the customer to map against Mailchimp Tags if they wish to replicate a stage-like structure in Mailchimp for reporting purposes.
Spin CRM
Activities (Calls, Meetings, Tasks, Notes)
Mailchimp
Not Migrated (No Equivalent)
1:1Spin CRM Activity records (calls, meetings, tasks, notes) have no Mailchimp equivalent. Mailchimp tracks campaign-level engagement (opens, clicks, unsubscribes, bounces) but does not have a native activity timeline for pre-campaign sales interactions. We do not migrate these records. We recommend the customer export a full Activity history as a CSV archive for internal record-keeping if required.
Spin CRM
Owner
Mailchimp
Not Migrated (Context-Dependent)
1:1Spin CRM Owners (sales reps assigned to records) do not map to Mailchimp Contacts because Mailchimp does not have an owner assignment model. If the customer uses a CRM-plus-Mailchimp hybrid strategy (Spin CRM owners move to a new CRM; Mailchimp handles marketing), we preserve owner email as a merge field (OWNER_EMAIL) so that post-migration list sync can route marketing responses to the correct rep through a third-party integration.
| Spin CRM | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member (Subscriber)1:1 | Fully supported | |
| Company | Merge Field (COMPANY) or Tag Grouplossy | Fully supported | |
| Custom Fields (Contacts) | Merge Fieldslossy | Fully supported | |
| Lead | Audience Member (status awareness)1:1 | Fully supported | |
| Deal | Not Migrated (No Equivalent)1:1 | Fully supported | |
| Pipeline / Stages | Not Migrated (No Equivalent)1:1 | Fully supported | |
| Activities (Calls, Meetings, Tasks, Notes) | Not Migrated (No Equivalent)1:1 | Fully supported | |
| Owner | Not Migrated (Context-Dependent)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.
Spin CRM gotchas
No documented public REST API
CSV export is object-by-object, not bulk
Custom field visibility at export time
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 export coordination
We audit the Spin CRM account across Contacts, Companies, Leads, Deals, and any visible custom fields. We request a full custom field inventory from the customer and compare it against what the CSV export headers expose. We confirm the export walkthrough with the customer (where to find the settings-menu export per object) and recommend a 24-48 hour data-freeze window before the final export set. On the Mailchimp side, we verify the destination Audience structure, confirm existing merge fields, and identify any new merge fields required based on the Spin CRM custom field list.
CSV export validation and field mapping
We review the exported CSV files from Spin CRM against the expected record counts and column headers. We identify any missing custom fields and request a re-export if needed. We build a field mapping document that pairs each Spin CRM column header with the corresponding Mailchimp merge field (or tag strategy) and documents any columns that have no Mailchimp destination. This mapping is reviewed and signed off by the customer before we proceed to the transform layer.
Contact hygiene pass
Before importing into Mailchimp, we run the Spin CRM Contact export through a data quality check: email address format validation, duplicate detection by email address, and identification of records with missing email addresses (these cannot become Mailchimp Audience members). We deliver a hygiene report to the customer showing the record counts by status (clean, bounced-risk, duplicate, no-email) and recommend either correcting the source data or excluding high-risk records from the initial import to protect the Mailchimp sending reputation. Per Mailchimp's own migration guidance, cleaning the list before import improves initial deliverability rates.
Merge field creation in Mailchimp
We create the required merge fields in the destination Mailchimp Audience based on the field mapping document. This includes TEXT merge fields for company name, owner email, and any Spin CRM text custom fields; NUMBER merge fields for deal values or numeric custom fields; and DATE merge fields where applicable. Merge fields are created via the Mailchimp API or Audience settings. If the customer has multiple Audiences, we repeat merge field creation per Audience. We do not create Tags during this phase; Tags are applied during the import transform based on the segmentation strategy agreed in scoping.
Import and reconciliation
We import the cleaned Contact CSV into Mailchimp using the Mailchimp Marketing API with batch processing and error handling. Each imported record receives applicable Tags (e.g., 'Source: Spin CRM', company name tag, lead-status tag) based on the segmentation strategy. After import, we reconcile record counts: total imported vs total exported, bounced records vs clean records, and duplicate records merged or flagged. We deliver a migration reconciliation report showing the import outcome and any records that failed to import with the error reason.
Gap documentation and automation rebuild handoff
We deliver a written migration summary documenting which Spin CRM objects migrated (Contacts, Leads, Companies via merge field, custom fields via merge tags) and which did not (Deals, Pipelines, Stages, Activities). For the unmapped objects, we include record counts and recommended follow-up actions (Deal export for spreadsheet backup, Activity history archive). We include a written inventory of any Spin CRM workflow or automation patterns that the customer should rebuild in Mailchimp's Automation builder (email automations, campaign sequences, tag-based triggers). We do not rebuild Mailchimp automations as standard scope.
Platform deep dives
Spin CRM
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Spin CRM and Mailchimp.
Object compatibility
2 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
Spin CRM: Not publicly documented — confirmed during scoping..
Data volume sensitivity
Spin CRM 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
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FAQ
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