CRM migration
Field-level mapping, validation, and rollback between Amwork and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Amwork
Source
Mailchimp
Destination
Compatibility
3 of 9
objects map 1:1 between Amwork and Mailchimp.
Complexity
CModerate
Timeline
1-2 weeks
Overview
Amwork is a workspace-builder CRM that stacks Contacts, Companies, Deals, and Projects inside a customizable project environment with built-in telephony and time tracking. Mailchimp is an email marketing platform centered on Audiences, Subscribers, Campaigns, and Automations. These are fundamentally different data models: Amwork tracks deals, projects, and task hierarchies; Mailchimp tracks subscribers, tags, segments, and campaign engagement. We migrate Contacts from Amwork as Mailchimp Subscribers and Companies as company merge fields. We do not migrate Deals, Projects, Tasks, or Time Entries because Mailchimp has no equivalent record type. Before migration, we configure DKIM and SPF domain authentication in Mailchimp to protect deliverability, and we audit Amwork's contact import history for silent failures caused by Amwork's exact-field-match requirement. We deliver a written inventory of any Amwork automation rules and telephony records requiring manual recreation in Mailchimp or a separate tool.
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 Amwork 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.
Amwork
Contact
Mailchimp
Subscriber
1:1Amwork Contact records map directly to Mailchimp Subscribers. Email address is the dedupe key. First name, last name, phone, lifecycle stage, and custom contact fields migrate as merge fields or subscriber properties. We apply Mailchimp's format guidelines (UTF-8 encoding, no HTML in text fields) before import and run a pre-flight validation against the subscriber email address format.
Amwork
Company
Mailchimp
Subscriber Company Fields
1:manyAmwork Company records do not map to a separate Mailchimp object. Instead, Company Name, Industry, Website, and City merge into subscriber-level merge fields (COMPANY, INDUSTRY, WEBSITE, CITY) so that subscriber profiles carry organization context. Where multiple Contacts share a Company in Amwork, each Contact's company merge field is populated during migration. We flag any Contacts without a linked Company for manual company field population post-migration.
Amwork
Lead
Mailchimp
Subscriber
1:1Amwork Leads in the Deals and Leads section map to Mailchimp Subscribers with a LEAD_STATUS merge field preserving the original Amwork lead stage. Unqualified leads that have not yet entered the sales pipeline migrate with a lead_source value for segmentation in Mailchimp campaigns.
Amwork
Custom Field
Mailchimp
Merge Field
lossyAmwork custom fields on Contacts (text, number, date, choice types) map to Mailchimp Merge Fields with equivalent data types. Text fields become TEXT merge fields; date fields become DATE merge fields; number fields become NUMBER merge fields. We create the merge fields in Mailchimp before import and map them by API name during migration.
Amwork
Owner
Mailchimp
Tag
1:1Amwork Owner assignments on Contacts migrate as Tags in Mailchimp (e.g., tag: Owner_Jane_Smith). Owner email is preserved in an OWNER_EMAIL merge field for reconciliation. Tags are applied at import time via Mailchimp's batch tagging endpoint to avoid per-subscriber API calls.
Amwork
Deal
Mailchimp
N/A
lossyAmwork Deals have no Mailchimp equivalent. Deal name, value, stage, and close date cannot migrate because Mailchimp is an email marketing platform, not a sales CRM. We document every Deal with a value over $0 in a written Deal Inventory spreadsheet so the customer's admin can recreate pipeline context in a CRM tool or a spreadsheet linked to Mailchimp subscriber data.
Amwork
Project
Mailchimp
N/A
lossyAmwork Projects and the Tasks within them do not map to Mailchimp records. Mailchimp has no project management or task-management module. We export Project and Task data as a structured CSV file for the customer's records and flag that project-task hierarchies require a separate project management tool post-migration.
Amwork
Time Entry
Mailchimp
N/A
lossyAmwork time entries log hours against tasks and projects. Time cannot be logged against Mailchimp Subscribers because Mailchimp is an email marketing platform, not a billing or project-tracking tool. Time entry data (duration, date, description, billable flag) is exported as a structured CSV and documented in the migration handoff.
Amwork
Automation Rule
Mailchimp
N/A
lossyAmwork BPMN automation rules are configuration objects, not contact data. We do not migrate automation rules as code because Amwork workflows and Mailchimp Customer Journeys use different trigger models and action libraries. We deliver a written Automation Inventory documenting every active Amwork workflow (trigger, conditions, actions) with a Mailchimp Customer Journey equivalent recommendation for each.
| Amwork | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Subscriber1:1 | Fully supported | |
| Company | Subscriber Company Fields1:many | Fully supported | |
| Lead | Subscriber1:1 | Fully supported | |
| Custom Field | Merge Fieldlossy | Fully supported | |
| Owner | Tag1:1 | Fully supported | |
| Deal | N/Alossy | Fully supported | |
| Project | N/Alossy | Fully supported | |
| Time Entry | N/Alossy | Fully supported | |
| Automation Rule | N/Alossy | 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.
Amwork gotchas
Import requires exact CRM field structure match
Deal stage moves require menu selection, not drag-and-drop
Time entries attach to tasks, not directly to contacts
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 data audit
We audit the source Amwork workspace: contact count, company count, lead volume, custom field definitions (API names and types), lifecycle stage values, owner assignments, and any prior import history. We compare the exported contact count against Amwork's reported contact count to detect silent import failures from prior migrations. We also identify any Amwork contacts with missing email addresses, which cannot migrate to Mailchimp as subscribers. The discovery output is a written Data Audit Report with record counts, field inventory, and a data-quality issue list that must be resolved before migration.
Mailchimp audience setup and merge field creation
We create the Mailchimp Audience with the correct field structure before any data imports. This includes creating custom merge fields that map to Amwork custom field definitions, configuring the double opt-in setting based on the customer's preference, and setting up the initial Tags structure for owner-based segmentation. We also configure the default subscriber status (subscribed by default unless opt-in verification shows otherwise). The audience is created in a staging state until domain authentication is confirmed.
Domain authentication configuration
We coordinate with the customer's DNS provider to add DKIM and SPF TXT records to the sending domain before the Mailchimp audience is activated. This step requires DNS access and typically takes 24-48 hours for propagation. Without confirmed authentication, the Mailchimp account is placed in a restricted sending state. We verify DKIM and SPF records post-propagation using an external DNS lookup tool before enabling campaign sending.
Contact hygiene and opt-in verification
We segment Amwork contacts into four groups: verified opt-in (migrate immediately), unverified but likely consented (require re-permissioning campaign), purchased or imported list contacts with no engagement record (recommend exclusion), and contacts with invalid or missing email addresses (export as non-migratable). We provide a re-permissioning email template and a separate Mailchimp audience for the quarantine list. Migration proceeds with verified contacts first.
Production migration and reconciliation
We import Amwork Contacts as Mailchimp Subscribers in batches using Mailchimp's bulk import endpoint, applying merge field mappings, owner tags, lifecycle stage values, and company data per record. Each batch is reconciled against the source export row count. After import, we run a random sample validation (10% of records or minimum 50) comparing email, name, and merge field values between Amwork and the Mailchimp subscriber profile. The customer approves the sample before we mark the migration complete.
Deal, Project, and Automation handoff documentation
We deliver three written documents: a Deal Inventory CSV (all Amwork Deals with name, value, stage, close date, owner, and linked contact email), a Project-Task Inventory CSV (project hierarchy with task names, assignees, and due dates), and an Automation Inventory (all active Amwork workflow rules with trigger, conditions, and actions mapped to Mailchimp Customer Journey equivalents). These documents are the customer's guide for recreating deal pipeline tracking and automation sequences in Mailchimp or a separate CRM tool.
Platform deep dives
Amwork
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Amwork and Mailchimp.
Object compatibility
3 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
Amwork: Not publicly documented. We assume typical SaaS tenant limits and tune extraction concurrency against the customer's plan during scoping..
Data volume sensitivity
Amwork 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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