CRM migration
Field-level mapping, validation, and rollback between Pawa and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Pawa
Source
Mailchimp
Destination
Compatibility
6 of 8
objects map 1:1 between Pawa and Mailchimp.
Complexity
CModerate
Timeline
1-2 weeks
Overview
Pawa is a Quebec-designed offline-first CRM for field teams that stores Contacts, Companies, Deals, and custom field data primarily for data collection in low-connectivity environments. Mailchimp is an email marketing platform built around Audiences, Members, Tags, and campaign automation. The two platforms serve different primary functions — Pawa captures field data and Mailchimp sends email — so this migration focuses on translating Pawa's Contact and Company records into Mailchimp Members with their associated custom fields and tags intact. We do not migrate Deals, pipeline stages, or field data collection forms because Mailchimp has no equivalent schema. We export the Pawa contact list via API or manual CSV, map every Pawa custom field to a Mailchimp merge field of the appropriate type, import into a newly configured Mailchimp Audience, and suppress unsubscribes and hard bounces before the first campaign send. Automations, signup forms, and landing pages do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Mailchimp.
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 Pawa 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.
Pawa
Contact
Mailchimp
Member (Audience)
1:1Pawa Contact records map to Mailchimp Members within a designated Audience. We use email address as the dedupe key during import. First name, last name, phone, and any standard Pawa fields map to their Mailchimp equivalents (FNAME, LNAME, PHONE). Custom Pawa fields translate to Mailchimp merge fields, subject to the 255-character text limit and the per-Audience field count ceiling (30 on Essentials and Standard, 80 on Premium). We flag any Pawa custom field exceeding 255 characters at scoping time so it can be truncated or split into multiple merge fields before import.
Pawa
Company
Mailchimp
Merge fields (company data)
lossyMailchimp has no Company or Account object. We map Pawa Company name, address, and any company-level custom fields to custom merge fields on the Mailchimp Member record using a configurable naming convention (e.g., COMPANY_NAME, COMPANY_CITY, COMPANY_INDUSTRY). We apply company data to each Member by cross-referencing the Contact-to-Company relationship from the Pawa export before writing to Mailchimp.
Pawa
Tag
Mailchimp
Tag
1:1Pawa tags stored as flat string arrays on Contact and Company records migrate as Mailchimp Tags on each Member. We preserve the original tag names so segmentation logic that relied on Pawa tags can be replicated in Mailchimp using Tags as a filter condition. Note that Mailchimp Tags are audience-scoped and do not inherit across multiple Audiences if the customer chooses to create separate Audiences.
Pawa
Custom Fields
Mailchimp
Merge Fields
lossyPawa custom fields on Contacts and Companies require explicit field-by-field mapping to Mailchimp merge field types. We create merge fields in Mailchimp during the pre-migration phase (text, number, date, address, phone, birthday) matching the Pawa field type. We validate field names and types against a live Mailchimp API read of the Audience schema before the import phase begins. Any Pawa field using an unsupported type (e.g., multi-select or file attachments) is flagged for customer review and excluded from the standard import path.
Pawa
User
Mailchimp
Mailchimp Account User
1:1Pawa Users (sales reps, admins) with email addresses that correspond to Mailchimp account users are mapped as Owners or can be stored as a merge field (e.g., ASSIGNED_REP) on each Member. Mailchimp does not have a record-level Owner field equivalent to CRM systems; we recommend storing the original Pawa owner as a text merge field for reference rather than as a system-level assignment. Inactive Pawa users are flagged and excluded unless the customer requests otherwise.
Pawa
Deal
Mailchimp
Not supported
1:1Pawa Deals, including deal value, stage, and linked contacts, have no Mailchimp equivalent. Mailchimp does not track pipeline stages, deal values, or sales probability. We exclude Deals from the migration scope and document the existence of deal records in the pre-migration inventory so the customer can decide whether to export them to a separate spreadsheet or CRM for future reference.
Pawa
Pipeline Stages
Mailchimp
Not supported
1:1Pawa pipeline stages used on Deals do not map to Mailchimp. Mailchimp organizes contacts by engagement status and tag-based segments, not by sales pipeline stages. We note any pipeline stage values in the migration scope document and confirm with the customer that these are excluded from the data transfer.
Pawa
Attachments
Mailchimp
Not supported
1:1Pawa's API does not expose file attachments in any documented endpoint. We do not migrate attachments and flag their existence in the source account so the customer can manually download and re-upload them to the destination if needed. We exclude attachment-bearing records from the record count used to scope migration timelines and pricing.
| Pawa | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Member (Audience)1:1 | Fully supported | |
| Company | Merge fields (company data)lossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Fields | Merge Fieldslossy | Mapping required | |
| User | Mailchimp Account User1:1 | Fully supported | |
| Deal | Not supported1:1 | Fully supported | |
| Pipeline Stages | Not supported1:1 | Mapping required | |
| Attachments | Not supported1:1 | Not 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.
Pawa gotchas
No publicly documented bulk data export endpoint
Attachment files are not exposed via API
Small review sample limits platform reliability assessment
Android preference may affect iOS user experience post-migration
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 schema validation
We request Pawa API credentials and enumerate available endpoints to understand the actual data model in the customer's account. We validate the Contact, Company, Tag, and custom field schema against the live API rather than relying solely on published documentation. We also read the destination Mailchimp Audience schema via API to confirm which merge field names and types are already in use. The discovery output is a written data inventory: record counts per object, field names and types, tag values in use, and any records with attachment references that fall outside migration scope.
Merge field pre-creation and suppression import
We create all required Mailchimp merge fields in the destination Audience before importing any contacts. Merge field types (text, number, date, address, phone, birthday) are matched to the Pawa field types discovered in Step 1. Any Pawa field exceeding Mailchimp's 255-character text limit is flagged and resolved (truncation or split) before proceeding. We also import any existing suppressed addresses from the Mailchimp account as a suppression list so they are rejected during the main contact import.
Data export and transform
We extract Contacts and Companies from Pawa via API or manual CSV export. For each Contact, we resolve the linked Company data and apply company-level fields as merge fields on the Member record. We apply Pawa tags as Mailchimp Tags during the transform step. We generate a migration manifest with record counts, field mapping confirmation, and any records that failed validation (e.g., malformed email addresses that will cause syntax errors in Mailchimp) for customer review before import.
Audience import and deduplication
We import contacts into Mailchimp using the bulk import API with email address as the dedupe key. Mailchimp's built-in duplicate detection identifies contacts that already exist in the Audience by email and updates existing Member records rather than creating duplicates. We run the import in batches to stay within Mailchimp's rate limits and monitor the import results for any syntax errors (malformed emails), field type mismatches, or character encoding issues. Failed records are written to a reconciliation report for the customer to correct and resubmit.
Validation and tag verification
We run post-import reconciliation comparing the Pawa contact count (excluding suppressed addresses and attachment-only records) against the Mailchimp Member count in the destination Audience. We spot-check 25-50 randomly selected Members against the Pawa source data to verify field accuracy, tag application, and company data presence. We also verify that suppressed addresses from the Pawa source do not appear in the Mailchimp Audience.
Cutover and automation rebuild handoff
We freeze Pawa writes during cutover, run a final delta migration of any contacts modified during the migration window, then mark Mailchimp as the active contact system. We deliver the migration summary report, the field mapping reference document, and the written inventory of any Pawa data types that fell outside migration scope (Deals, pipeline stages, attachments). We support a 48-hour post-cutover window for reconciliation issues. We do not rebuild Mailchimp automations, forms, or landing pages as part of the standard migration scope.
Platform deep dives
Pawa
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 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 Pawa and Mailchimp.
Object compatibility
4 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
Pawa: Not publicly documented.
Data volume sensitivity
Pawa 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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