CRM migration
Field-level mapping, validation, and rollback between Agillic and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Agillic
Source
Mailchimp
Destination
Compatibility
4 of 8
objects map 1:1 between Agillic and Mailchimp.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Migrating from Agillic to Mailchimp is a structural downgrade on custom object depth but an upgrade in usability and cost predictability. Agillic stores every contact as a fully customisable Recipient record with arbitrary client-defined properties and a full activity timeline tied to Flow Execution IDs; Mailchimp uses a flat subscriber model with up to 30 merge fields (80 on Premium). We enumerate every Agillic recipient property during discovery, merge or drop fields that exceed Mailchimp limits, and preserve the most operationally critical attributes in Tags or merge fields. Activity history migrates as Mailchimp activity stats (opens, clicks, bounces) which are preserved per-contact, but Flow execution timelines tied to Flow Execution IDs cannot be reconstructed in Mailchimp's reporting model. We do not migrate Agillic Flows, Templates, or Global Data Tables as portable code; we deliver a written inventory of each for the customer's admin to recreate 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 Agillic 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.
Agillic
Recipient
Mailchimp
Contact (Mailchimp Subscriber)
1:1Agillic Recipients map to Mailchimp Contacts. We enumerate every custom recipient property during discovery via the Recipient API and map each to a Mailchimp merge field. If the property count exceeds 30 (standard) or 80 (Premium), we consolidate multi-value string properties into Tags, flag numeric or date fields for conversion to text merge fields, and document the dropped fields for the customer to assess. The recipient email address is the Mailchimp subscriber identifier and dedupe key.
Agillic
Activity Logs
Mailchimp
Contact Activity Stats
1:1Agillic Activity records (sends, opens, clicks, bounces, SMS deliveries) migrate as Mailchimp activity history entries against each contact. Mailchimp preserves aggregate open and click stats per contact in its interface, but does not expose event-level timestamps for every individual open/click the way Agillic's Activity Export does. We migrate what Mailchimp can represent and document the full event-level history from Agillic Activity Export as a data export for the customer's analytics team.
Agillic
Flow Execution ID
Mailchimp
Tag
lossyThe Agillic Flow Execution ID cannot be natively represented in Mailchimp's activity model. We store the Flow Execution ID as a Mailchimp Tag on each affected contact record (e.g., tag format: flow_execution_[ID]) so the customer can reference which Agillic flow triggered a given communication, though Mailchimp's automation builder cannot act on these tags as triggers.
Agillic
Global Data Tables
Mailchimp
Custom Fields or Tags
many:1Agillic Global Data Tables are custom relational structures referenced within Flows. Mailchimp has no relational table concept. We export table schemas and row data, then map tabular fields to Mailchimp merge fields where the field maps to a contact attribute, or to Tags where the data represents segment classification. Many Global Data Table use cases (product catalogs, subscription tiers, loyalty points) cannot be represented in Mailchimp and require a separate external system or a Mailchimp-integrated app.
Agillic
Templates
Mailchimp
Templates
1:1Agillic email, SMS, and push templates migrate as content assets with field mappings documented. HTML-based templates require content refactoring to Mailchimp's template editor or a compatible HTML import. We export template content and dynamic field bindings and deliver a mapping document showing which Agillic template fields map to which Mailchimp merge tags. Visual refactoring of the template layout is not in scope.
Agillic
Recipients Export
Mailchimp
CSV Import / Mailchimp API
1:1Agillic's Recipients Export feature generates a structured file of all recipient records and current field values. We use this as a baseline for full-contact migrations, reconcile against Recipient API data, and ingest into Mailchimp via the Mailchimp Marketing API Members endpoint with batch processing and dedupe by email address.
Agillic
Flows
Mailchimp
Customer Journeys 3.0
lossyAgillic Flows are not exportable as portable workflow definitions. We export Flow names, associated trigger events, and step sequences as a written inventory document. The customer rebuilds equivalent automations in Mailchimp's Customer Journeys 3.0 builder, which supports email and SMS triggers, conditional branching, and time-based delays. Agillic's omnichannel Flows (push, print, paid media, POS) have no Mailchimp equivalent and are documented as requiring an alternative platform.
Agillic
Audience Data (Google/Meta)
Mailchimp
Tags or Segments
lossyAgillic's real-time audience activation to Google and Meta does not have a Mailchimp equivalent. We export audience definitions and membership criteria as a written specification so the customer can recreate equivalent segments using Mailchimp's segment builder with contact properties and tag logic. The paid media activation logic requires manual rebuild within Google Ads or Meta Ads Manager using exported contact lists.
| Agillic | Mailchimp | Compatibility | |
|---|---|---|---|
| Recipient | Contact (Mailchimp Subscriber)1:1 | Fully supported | |
| Activity Logs | Contact Activity Stats1:1 | Fully supported | |
| Flow Execution ID | Taglossy | Fully supported | |
| Global Data Tables | Custom Fields or Tagsmany:1 | Mapping required | |
| Templates | Templates1:1 | Mapping required | |
| Recipients Export | CSV Import / Mailchimp API1:1 | Fully supported | |
| Flows | Customer Journeys 3.0lossy | Mapping required | |
| Audience Data (Google/Meta) | Tags or Segmentslossy | 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.
Agillic gotchas
Undocumented API rate limits complicate bulk migration planning
Fully custom schema requires mandatory field enumeration during discovery
Flows are not exportable as portable workflow definitions
Activity Export requires explicit Flow Execution ID enablement
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 recipient schema enumeration
We audit the source Agillic instance: all active recipient properties via the Recipient API or Recipients Export, Activity Export settings (confirming Flow Execution ID is enabled in Settings > System Settings > Export > Activity Exports), Global Data Table schemas and row counts, Flow names and trigger events, and Template inventory. We check API rate limit responses during export to establish current instance thresholds and use WebDAV/SFTP Activity Export as the parallel ingestion path if API calls are throttled. The discovery output is a full field inventory, a field-limit impact assessment against Mailchimp's 30- or 80-field ceiling, and a consent-status audit for opt-in reconciliation.
Field consolidation mapping and Mailchimp audience setup
We design the Mailchimp merge field mapping based on the enumeration output. High-cardinality multi-value properties become Tags. Related numeric or date properties are merged into text fields with documented format. Properties exceeding Mailchimp's field limit are flagged as incompatible and excluded with a written justification. We configure the Mailchimp audience with the correct field names, data types, and tag taxonomy before any data is ingested. If the customer is on Mailchimp Standard or Premium, we confirm the 80-field limit is active.
Consent and opt-in status reconciliation
We extract consent status from each Agillic Recipient record and segment contacts into three groups: confirmed double opt-in (migrate as subscribed), single or soft opt-in (migrate as pending with a reconfirmation tag), and no consent record (migrate as unsubscribed or exclude). We deliver a reconfirmation campaign plan for the soft-opt-in group. Mailchimp's explicit opt-in requirement is applied before migration begins to prevent compliance issues post-migration.
Recipients and activity migration
We migrate recipient records via the Mailchimp Marketing API Members endpoint in batches, using email address as the dedupe key and applying the field consolidation mapping. Activity history (sends, opens, clicks, bounces) migrates as Mailchimp activity stats per contact. We tag contacts with their Flow Execution IDs where applicable. Global Data Table row data that can be flattened migrates as merge fields or Tags; the remainder is exported as a supplementary CSV and documented as requiring an external data store or Mailchimp-integrated app.
Template and Flow inventory delivery
We deliver a written inventory of all Agillic Templates with field mapping documentation, a Flow execution sequence document listing every Flow name, trigger, and step logic, and a Global Data Table schema export with row data. The customer uses these documents to rebuild email templates in Mailchimp's template editor and rebuild Flows in Customer Journeys 3.0. We do not rebuild Flows as code inside the migration scope. We support a post-migration review call to answer questions about the inventory documents.
Cutover and validation
We freeze writes in Agillic during the cutover window, run a final delta export of any records modified during migration, and validate contact counts, field mapping completeness, and activity stats in Mailchimp. We deliver a migration completion report showing record counts by object, field coverage against the original Agillic schema, and a list of any fields that exceeded Mailchimp's limits and were excluded. The customer signs off before Agillic access is terminated.
Platform deep dives
Agillic
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Agillic and Mailchimp.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Agillic and Mailchimp.
Object compatibility
All 8 core objects map 1:1 between Agillic and Mailchimp.
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
Agillic: Not publicly documented — limited per production instance per day.
Data volume sensitivity
Agillic 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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