CRM migration
Field-level mapping, validation, and rollback between Lime Go and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Lime Go
Source
Mailchimp
Destination
Compatibility
6 of 10
objects map 1:1 between Lime Go and Mailchimp.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Lime Go and Mailchimp are fundamentally different platforms. Lime Go is a B2B sales CRM built around Customers, Contacts, Companies, Deals, and configurable pipelines with GDPR compliance for Nordic teams. Mailchimp is an email marketing and automation platform organized around Audiences, Members, Tags, Segments, and Campaigns with merge fields replacing CRM custom properties. The migration is therefore a model transformation, not a record copy. We map Lime Go Customers and Contacts directly into Mailchimp Members, translate Lime Go Deals into Tags for pipeline-context preservation, and convert custom fields into Mailchimp merge fields while respecting the 255-character limit on text merge fields. Saved filters, pipeline configurations, and Lime Go's built-in Nordic company enrichment database are flagged separately because they do not map into Mailchimp's schema. We use Lime Go's generic HTTP API endpoints with conservative request pacing to extract data, and we validate every merge field against Mailchimp's character constraints before import. We do not migrate workflows, automations, or forms as code.
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 Lime Go 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.
Lime Go
Contact
Mailchimp
Audience Member
1:1Lime Go Contacts map directly to Mailchimp Members within a single consolidated Audience. Each Contact's email address becomes the Member email, first name and last name map to FNAME and LNAME merge fields, and phone numbers map to a custom PHONE merge field. We preserve the original Lime Go contact ID in a custom lime_contact_id__c merge field for reconciliation. Owner assignments from Lime Go map to a custom owner_tag__c tag rather than a user record because Mailchimp does not have a user management model. Any Lime Go contacts with no email address are held in a reconciliation queue for the customer to resolve before import.
Lime Go
Customer
Mailchimp
Audience Member (organization context)
1:1Lime Go Customers store company-level data that does not have a standalone Mailchimp equivalent. We treat the Customer as organizational context attached to the Contact. The Customer name becomes the COMPANY merge field, Customer industry becomes a custom industry_tag, and Customer custom properties map to Mailchimp merge fields or Tags. If a Lime Go Contact has no linked Customer, we create the Member without a COMPANY merge field value. The Customer-Consumer relationship is resolved via lookup at import time to ensure the correct COMPANY value is attached to each Member.
Lime Go
Company (enriched Nordic database)
Mailchimp
Enrichment context (out of scope)
lossyLime Go's built-in Nordic company database of 3.7 million businesses is read-only enrichment data, not user-owned CRM records. It does not migrate as Audience Members. We flag these records separately during scoping and document them as a retention consideration: if the customer relies on Lime Go's enrichment for prospecting, they should retain a Lime Go seat or a dedicated enrichment provider (Clearbit, ZoomInfo) post-migration. In Mailchimp, we configure enrichment via the Mailchimp Connect ecosystem or third-party enrichment tools as a post-migration step.
Lime Go
Deal
Mailchimp
Tag (pipeline context)
1:manyLime Go Deals do not map to a native Mailchimp object. We translate Deals into Tags on the associated Member with the naming convention deal_[pipeline]_[stage] (e.g., deal_main_won). Deal value migrates as a custom deal_value__c merge field (numeric). Expected close date migrates as a custom close_date__c merge field. If a Contact is linked to multiple Deals, we create one tag per Deal. The customer chooses whether to apply deal-stage tags as marketing segmentation criteria during scoping. This translation preserves pipeline context but does not replicate Lime Go's pipeline management UI.
Lime Go
Sales Pipeline
Mailchimp
Tag namespace
lossyEach Lime Go Pipeline maps to a tag namespace that prefixes all deal-stage tags for that pipeline (e.g., main_, enterprise_, smb_). We document the pipeline-to-namespace mapping during scoping and apply it consistently across all Deal tag creation. If the customer has more than three pipelines, we recommend a Mailchimp Segment strategy using tag prefixes rather than a flat tag taxonomy to avoid tag count inflation.
Lime Go
Activity
Mailchimp
Contact Note (mailchimp_create_note)
1:1Lime Go Activity records (calls, emails, meetings, notes) have no native Mailchimp equivalent in the Member timeline. We migrate the most recent 50 activities per Contact as a consolidated Note entry with the original timestamp, activity type, and body preserved in a single note record. Older activities migrate as a summary count in a custom activities_total__c merge field. This approach avoids flooding Mailchimp with thousands of granular activity records that would degrade audience performance without providing comparable timeline visibility to a CRM. The customer is advised that full activity history retention requires a separate CRM platform if needed post-migration.
Lime Go
Task
Mailchimp
Contact Note (mailchimp_create_note)
1:manyLime Go Tasks map to Notes on the associated Contact. Open tasks with due dates migrate as a note with a [TASK: pending] prefix and the due date. Completed tasks migrate with a [TASK: completed] prefix. Task ownership is noted within the note body. We consolidate multiple tasks from the same Contact into a single summary note to avoid creating dozens of individual note entries. The customer receives a task migration summary at the contact level rather than individual task records.
Lime Go
Custom Fields
Mailchimp
Merge Fields
1:1Lime Go custom fields on Customers and Contacts map to Mailchimp merge fields using type-aware translation: text fields become TEXT merge fields (subject to the 255-character limit and flagged for truncation during scoping), number fields become NUMBER merge fields, date fields become DATE merge fields, and picklist fields become either RADIO or dropdown merge fields. We validate each field against Mailchimp's 40-character merge field name limit and 255-character text length limit before creating the destination schema. Any Lime Go custom fields that exceed these constraints are flagged as a scoping item and mapped to Tags as an alternative.
Lime Go
Tag
Mailchimp
Tag
1:1Lime Go Tags apply across Customers, Contacts, and Deals and map directly to Mailchimp Tags on the Member record. We extract all unique tag names from Lime Go, normalize them (trim whitespace, lowercase), and create them as Mailchimp Tags during audience setup. Tags used for deal segmentation receive the deal_ prefix as described in the Deal mapping. Tags with fewer than 10 associated records in Lime Go are flagged as low-utility tags and may be excluded from migration to reduce Mailchimp tag noise.
Lime Go
GDPR Consent Records
Mailchimp
Merge Fields (consent status)
1:1Lime Go consent history migrates to Mailchimp as the EMAILINGS_CONSENT and MARKETING_CONSENT boolean merge fields (0/1). The original consent grant timestamp and withdrawal timestamp migrate as DATE merge fields consent_granted__c and consent_withdrawn__c. For Members without any consent record in Lime Go, we set consent status to 0 and recommend the customer sends a re-confirmation campaign through Mailchimp after migration to establish explicit opt-in for GDPR compliance. This is aligned with Mailchimp's own migration guidance on ensuring contacts have opted in before first send.
| Lime Go | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member1:1 | Fully supported | |
| Customer | Audience Member (organization context)1:1 | Fully supported | |
| Company (enriched Nordic database) | Enrichment context (out of scope)lossy | Fully supported | |
| Deal | Tag (pipeline context)1:many | Fully supported | |
| Sales Pipeline | Tag namespacelossy | Fully supported | |
| Activity | Contact Note (mailchimp_create_note)1:1 | Fully supported | |
| Task | Contact Note (mailchimp_create_note)1:many | Fully supported | |
| Custom Fields | Merge Fields1:1 | Mapping required | |
| Tag | Tag1:1 | Fully supported | |
| GDPR Consent Records | Merge Fields (consent status)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.
Lime Go gotchas
No public REST API with documented rate limits
Minimum contract pricing of approximately €120/month
Nordic company enrichment data is read-only
Manual email logging required due to poor integrations
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 architecture
We audit the source Lime Go account across Contacts, Customers, Deals, Activities, custom fields, and tags. We document the total contact volume, identify any contacts without email addresses, audit custom field schemas (type, length, applicability for marketing), catalog all unique tags, and assess the GDPR consent coverage. We also confirm the number of Lime Go Pipelines and Deal Stages that require tag translation. The discovery output is a written migration scope document and an audience architecture recommendation: single consolidated Audience versus multiple Audiences split by customer segment.
Data extraction from Lime Go
We extract Lime Go data using the available API endpoints and export capabilities. Because Lime Go lacks a publicly documented REST API with published rate limits, we implement conservative request pacing with exponential backoff and retry logic to avoid undocumented throttling. We extract Contacts (with Customer lookup), Deals (with pipeline and stage), Activities (limited to the 50 most recent per Contact), Tasks, Tags, custom field values, and GDPR consent records. We flag any records with missing email addresses for customer resolution before import begins.
Merge field and tag taxonomy design
We design the Mailchimp destination schema based on the discovery audit. This includes creating merge fields for all transferable Lime Go custom fields, respecting Mailchimp's 255-character text limit (with truncation or tag fallback for long fields), setting up tag namespaces per Lime Go pipeline, and configuring consent merge fields for GDPR. We validate the complete field list against Mailchimp's merge field constraints before creating any destination objects. The customer reviews and approves the schema design before we begin audience creation.
Audience creation and suppression list setup
We create the Mailchimp Audience with all merge fields, tag namespaces, and segment structures before importing any contacts. We also import suppression data (unsubscribed and bounced addresses) exported from Lime Go to prevent emailing inactive contacts post-migration. We apply Mailchimp's recommended domain authentication (SPF and DKIM records) during this phase so the account is send-ready by the time contacts import. We configure double opt-in settings based on the customer's consent strategy.
Test import and reconciliation
We run a test import of a 50-100 record sample into the Mailchimp Audience to validate merge field mapping, tag application, and character-limit handling. We reconcile the test import against the Lime Go source records field by field and correct any mapping errors before the full import. This step catches merge field naming issues, tag namespace errors, and truncation problems before they affect the full contact volume. The customer reviews the test import and signs off before we proceed to full migration.
Full production migration and validation
We run the full contact migration in batches, processing no more than 10,000 records per batch with reconciliation after each batch. Contacts import with their associated Customer-company context, deal-stage tags, custom field values, and GDPR consent flags. We run a final row-count reconciliation against the Lime Go source (Contacts in, Members in, Tags applied, merge fields populated) and deliver a migration report to the customer. The customer validates the audience in Mailchimp and confirms the migration is complete before Lime Go is decommissioned.
Platform deep dives
Lime Go
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 Lime Go 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
Lime Go: Not publicly documented.
Data volume sensitivity
Lime Go 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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