CRM migration
Field-level mapping, validation, and rollback between Kinabase and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Kinabase
Source
Mailchimp
Destination
Compatibility
3 of 8
objects map 1:1 between Kinabase and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Kinabase and Mailchimp serve fundamentally different roles. Kinabase is a flexible operational CRM built around user-defined Collections and Records — every field, relationship, and computed value is customisable. Mailchimp is an email marketing platform organised around Audiences, Members, and merge fields for subscriber data. There is no native object-to-object correspondence, and CRM-style records such as Deals, Projects, and Tasks have no Mailchimp equivalent. We approach this migration by identifying the Kinabase Collections that contain subscriber-facing data, translating their field schemas into Mailchimp merge fields, mapping linked collection references to Mailchimp tags, and loading the resulting contacts into Mailchimp Audiences via the Mailchimp API with batch chunking and validation. The Migration Data Package we deliver includes a written inventory of Kinabase automations, workflows, and stage definitions for your team to rebuild in Mailchimp's automation builder.
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 Kinabase 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.
Kinabase
Collection (Contacts, Customers, Subscribers)
Mailchimp
Audience + Member
1:1The primary subscriber-facing Collection in Kinabase maps to a Mailchimp Audience. Each Record becomes a Member with email address as the dedupe key. We map standard fields (First Name, Last Name, Email) to Mailchimp's FNAME, LNAME, EMAIL merge fields, and custom fields to remaining merge field slots. If the Collection is the only subscriber source, it becomes a single Audience; if multiple Collections represent distinct segments, each becomes a separate Audience.
Kinabase
Custom Fields
Mailchimp
Merge Fields (FNAME, LNAME, EMAIL + custom MERGEn fields)
lossyKinabase Fields of type text, number, date, and dropdown map to Mailchimp Merge Fields with equivalent types. Mailchimp enforces a hard ceiling of 40 merge fields per Audience; Collections exceeding this require field prioritisation during scoping. Multi-select dropdowns map to Mailchimp multi-select merge fields or tag-based taxonomy. We flag any Fields exceeding the merge field limit in the pre-migration audit.
Kinabase
Linked Collection Fields
Mailchimp
Tags
1:manyA Kinabase linked Collection field (e.g., a 'Segment' or 'Region' field pointing to a related Collection) creates a cross-collection reference with no direct Mailchimp equivalent. We resolve linked references by querying the target Collection and creating Mailchimp Tags on the Member record — one tag per linked Collection value. For example, a Contact record linked to a 'Segment' Collection record with value 'Enterprise' produces a tag 'Segment:Enterprise' on the Mailchimp Member.
Kinabase
Computed Fields
Mailchimp
Static Merge Field or Tag
lossyKinabase computed Fields evaluate a formula at display time and store the result rather than the formula itself. We evaluate each computed Field at migration time and write the resulting value as a static string or number into a Mailchimp Merge Field. The formula does not transfer because Mailchimp has no computed field support. We document all evaluated computed Fields in the pre-migration audit so the customer understands which values were migrated as static data.
Kinabase
Collection (Companies, Clients, Organisations)
Mailchimp
Mailchimp Company merge field or static field
lossyIf Kinabase has a separate Companies Collection linked to Contacts via a linked Collection field, we have two options depending on Mailchimp plan tier. On Mailchimp Standard and above, we map the company name to the native Company field on the Member record. On Free and Essentials tiers without native company support, we create a custom merge field (COMPANY) and populate it during the contact load. The linked Collection reference is resolved at migration time via the Kinabase linked record export.
Kinabase
Engagement Records (calls, emails, meetings, tasks)
Mailchimp
Tags + latest activity Merge Field
lossyKinabase engagement records (calls, emails, meetings, tasks) have no direct Mailchimp equivalent because Mailchimp Member records do not store a structured activity history. We handle this by writing the most recent engagement timestamp and type to a custom Merge Field (LAST_ACTIVITY) and by creating a tag for the engagement category (e.g., 'engagement_type:email' or 'engagement_type:call'). The full activity timeline is documented in the Migration Data Package as a CSV export for the customer to reference or import into a separate CRM if needed.
Kinabase
Tasks
Mailchimp
None (no equivalent)
1:1Kinabase Tasks are standalone work items associated with records and have no Mailchimp equivalent. Mailchimp Members do not support task or to-do records. Tasks are exported as a separate CSV as part of the Migration Data Package. If task tracking is required in the new stack, the customer should evaluate integrating Mailchimp with a task management tool or adopting a CRM alongside Mailchimp post-migration.
Kinabase
Custom Objects, Deals, Projects, Workflows, Stages
Mailchimp
None (no equivalent)
1:1Kinabase custom objects, Deals, Projects, Tickets, Workflows, and stage definitions have no Mailchimp equivalent. Mailchimp is an email marketing platform and does not support custom objects, deal pipelines, project tracking, or workflow automation of the kind Kinabase provides. These objects are exported as structured CSV files in the Migration Data Package. The customer's admin uses the CSV to manually re-enter data or to plan integrations with a complementary CRM platform that works alongside Mailchimp.
| Kinabase | Mailchimp | Compatibility | |
|---|---|---|---|
| Collection (Contacts, Customers, Subscribers) | Audience + Member1:1 | Fully supported | |
| Custom Fields | Merge Fields (FNAME, LNAME, EMAIL + custom MERGEn fields)lossy | Fully supported | |
| Linked Collection Fields | Tags1:many | Mapping required | |
| Computed Fields | Static Merge Field or Taglossy | Mapping required | |
| Collection (Companies, Clients, Organisations) | Mailchimp Company merge field or static fieldlossy | Fully supported | |
| Engagement Records (calls, emails, meetings, tasks) | Tags + latest activity Merge Fieldlossy | Fully supported | |
| Tasks | None (no equivalent)1:1 | Fully supported | |
| Custom Objects, Deals, Projects, Workflows, Stages | 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.
Kinabase gotchas
API access gated behind a support request
100 req/min rate limit slows large exports
Computed Field values are not stored data
Linked collection fields require relationship re-establishment
Only administrators can export all data
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 API access procurement
We audit every Kinabase Collection to identify subscriber-facing data (Contacts, Customers, Subscribers), CRM data (Companies, Deals, Projects, Tasks), linked Collection dependencies, computed Field formulas, and Fields exceeding Mailchimp's 40-merge-field limit. We simultaneously begin the API access request by emailing [email protected] with the credentials needed for the migration account. If API credentials are not issued within five business days, we proceed with the admin CSV export as the primary data source. The discovery output is a written Migration Scope Document covering Collection inventory, field audit, merge field mapping plan, tag taxonomy, and data that has no Mailchimp equivalent.
Schema design and merge field mapping plan
We design the Mailchimp Audience structure based on the Collection inventory. Each primary subscriber Collection becomes one Mailchimp Audience. We map Kinabase Fields to Mailchimp Merge Fields by type — text fields to text merge fields, dates to date merge fields, numbers to number merge fields, and dropdowns to dropdown or radio merge fields. We apply the 40-merge-field limit during this step, ranking Fields by business importance and flagging any Fields that cannot be represented. We define the tag taxonomy for linked Collection Fields at this stage and document it in the Migration Scope Document.
Staging migration and validation
We run a full test migration into a staging Mailchimp Audience with a sample of at least 100 records per Collection. We validate merge field population, tag assignment, email address deliverability, and subscription status mapping. The customer spot-checks 25-50 records against the Kinabase source and confirms the mapping is acceptable before we proceed to production migration. Any field mapping corrections, tag taxonomy changes, or Audience restructuring decisions happen in staging, not in the production account.
Production migration with batched API load
We run the production migration using the Mailchimp API with batched uploads of up to 500 Members per batch, respecting Mailchimp's rate limit of approximately 2,000 contacts per hour. Linked Collection references are resolved in dependency order during the transform phase before upload. We set Member subscription status (subscribed, unsubscribed, pending) based on the Kinabase source Field value or Collection membership. Each batch emits a success and error count, and we retry failed records with exponential backoff. A row-count reconciliation report is generated after each phase.
Cutover and Migration Data Package delivery
We freeze writes to the source Kinabase data during the cutover window, run a final delta migration for any records modified during the migration window, then enable Mailchimp as the email marketing system of record. We deliver the Migration Data Package including the field mapping spreadsheet, tag taxonomy reference, reconciliation report (source record counts vs. Mailchimp Member counts), and a written Workflow and Automation Inventory listing every Kinabase Workflow, trigger, and stage definition that requires rebuild in Mailchimp's Customer Journey builder.
Hypercare and migration closure
We provide a one-week hypercare window following cutover. During this period, we resolve any Mailchimp API errors, contact deduplication issues, or merge field data-quality issues raised by the customer's team. We do not rebuild Kinabase Workflows or automations as Mailchimp Customer Journeys; that work is documented in the Migration Data Package for the customer's admin team to complete as a separate project. Post-hypercare, migration is considered closed and FlitStack AI does not provide ongoing admin support or workflow rebuild services.
Platform deep dives
Kinabase
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 Kinabase 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
Kinabase: 100 requests per minute.
Data volume sensitivity
Kinabase 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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