CRM migration
Field-level mapping, validation, and rollback between Opera 3 and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Opera 3
Source
Mailchimp
Destination
Compatibility
3 of 9
objects map 1:1 between Opera 3 and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Pegasus Opera 3 to Mailchimp is a targeted data migration rather than a full ERP replacement. Opera 3's built-in CRM module stores contacts and companies in the Sales Ledger alongside accounting, payroll, and stock data, with no public REST API available. We extract Opera 3 customer and contact records via CSV exports, resolve merge field constraints (Mailchimp caps text merge fields at 255 characters), and import into Mailchimp audiences with owner tags, supplier vs customer segmentation, and a pre-imported suppression list to protect deliverability. Opera 3 Workflows and built-in CRM automations do not migrate; we deliver a written inventory for the customer's team to rebuild as Mailchimp automations post-import. Timeline ranges from one to three weeks depending on record volume and whether multiple Opera 3 company codes require separate Mailchimp audiences.
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 Opera 3 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.
Opera 3
Sales Ledger Customer
Mailchimp
Member (Audience)
1:1Opera 3 Sales Ledger customer records map to Mailchimp Members within the target audience. We extract the Account Reference (customer code), company name, address fields (Address Line 1, Address Line 2, Town, County, Postcode, Country), telephone and fax numbers, and credit limit. Email address from the linked Sales Ledger contact record is the required key field for Mailchimp import. Multi-currency customers retain the currency code as a Mailchimp merge field rather than a native setting, since Mailchimp does not store currency metadata on individual members.
Opera 3
Sales Ledger Contact
Mailchimp
Member (per-contact record)
1:1Individual contact records from Opera 3's Sales Ledger link to parent customer accounts. We map first name, last name, email address (required for Mailchimp), telephone, mobile, job title, and notes. Opera 3 can store multiple contacts per customer account; each contact becomes a separate Mailchimp member with the customer account name stored as a merge field. Contacts without a valid email address are excluded from the Mailchimp import and flagged in the reconciliation report.
Opera 3
Purchase Ledger Supplier
Mailchimp
Member (Audience, optional import)
lossyPurchase Ledger supplier records from Opera 3 are imported as Mailchimp members with a SUPP_TYPESUPPLIER tag only if the customer intends to use Mailchimp for supplier communications. Supplier name, contact name, and email map to standard Mailchimp member fields; address data maps to merge fields. If Mailchimp is used exclusively for customer marketing, suppliers are imported into a separate suppression-only audience or excluded entirely and added to the global exclude list.
Opera 3
Sales Ledger Owner (Account Manager)
Mailchimp
Tag
lossyThe Sales Ledger Owner or Account Manager assigned to each Opera 3 customer or contact record maps to a Mailchimp Tag applied to the corresponding member. This allows the customer's marketing team to segment by account owner and assign campaign sends or automations per owner territory. Owner names with spaces or special characters are normalised to tag-safe formats. If Opera 3 stores multiple owners per account, each owner is applied as a separate tag.
Opera 3
Sales Ledger Notes (CRM activity log)
Mailchimp
Member Notes
1:1Opera 3's built-in CRM module stores contact activity as text-based notes. These migrate to the Mailchimp Member Notes field, which supports up to 2,000 characters. Notes are merged in chronological order with timestamps preserved in the text. This provides historical context to the marketing team but does not create a structured activity timeline equivalent to Mailchimp's automation trigger events. Customers requiring marketing-triggered automations based on contact history must rebuild those triggers manually in Mailchimp automations post-migration.
Opera 3
Unsubscribe / Bounce record
Mailchimp
Member Status (suppression list)
lossyOpera 3 does not natively track email unsubscribe or bounce status, but where customer contact records include a status flag or notes indicating bounced or opted-out contacts, we export these as a Mailchimp suppression list uploaded before the main member import. This prevents accidentally re-subscribing bounced or opted-out addresses, which damages deliverability and can trigger Mailchimp's abuse detection system.
Opera 3
Multi-Company Structure (separate company codes)
Mailchimp
Multiple Audiences
lossyOpera 3 supports multiple company codes within a single installation, each with its own Sales Ledger. Where the migration scope includes more than one Opera 3 company code, we create a separate Mailchimp Audience for each company. Customer and contact records are mapped into the corresponding audience, preserving the company reference as an audience-specific tag or merge field. This prevents cross-company contact mixing and allows separate subscription preferences and campaign tracking per legal entity.
Opera 3
Address fields (multi-line)
Mailchimp
Merge Fields (ADDRESS type)
lossyOpera 3 stores customer addresses as separate fields (Address Line 1, Address Line 2, Town, County, Postcode, Country). Mailchimp's ADDRESS merge field type consolidates these into a single structured field. We map each Opera 3 address component to the corresponding Mailchimp ADDRESS field part (addr1, addr2, city, state, zip, country). County maps to state for UK addresses, or to a custom merge field if the customer requires UK-specific county-level granularity.
Opera 3
Custom fields / bespoke UDFs
Mailchimp
Merge Fields (text or number)
lossyOpera 3's OPUS add-on and bespoke Visual FoxPro schema modifications may introduce customer-specific fields not present in the standard Sales Ledger export. We document every unmapped custom field during discovery and create corresponding Mailchimp merge fields (text, number, or date type) in the target audience before import. Merge field names are normalised to Mailchimp's tag-safe alphanumeric format. Fields exceeding Mailchimp's 255-character text limit are flagged for splitting or truncating based on the customer's preference.
| Opera 3 | Mailchimp | Compatibility | |
|---|---|---|---|
| Sales Ledger Customer | Member (Audience)1:1 | Fully supported | |
| Sales Ledger Contact | Member (per-contact record)1:1 | Fully supported | |
| Purchase Ledger Supplier | Member (Audience, optional import)lossy | Fully supported | |
| Sales Ledger Owner (Account Manager) | Taglossy | Fully supported | |
| Sales Ledger Notes (CRM activity log) | Member Notes1:1 | Fully supported | |
| Unsubscribe / Bounce record | Member Status (suppression list)lossy | Fully supported | |
| Multi-Company Structure (separate company codes) | Multiple Audienceslossy | Fully supported | |
| Address fields (multi-line) | Merge Fields (ADDRESS type)lossy | Fully supported | |
| Custom fields / bespoke UDFs | Merge Fields (text or number)lossy | 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.
Opera 3 gotchas
Visual FoxPro to SQL SE migration is mandatory and non-reversible
RTI FPS/EPS payroll files use cryptic renamed filenames after HMRC submission
Customer Products add-on stores customer-specific stock variants outside the main item schema
No public API — data export relies on CSV, XML RTI files, or bespoke WCF
Multi-company inter-company balances require cross-reference mapping
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 export scoping
We review the Opera 3 installation to identify the module editions (Visual FoxPro or SQL SE), the number of company codes in scope, and the export method available. We map the Sales Ledger customer and contact CSV column layout, identify any OPUS add-on custom fields, and assess whether any bespoke WCF endpoints exist for direct database reads. We also identify contact records missing email addresses, supplier records to be included or excluded, and any bounce or unsubscribe flags stored in notes. The discovery output is a written migration scope and a field mapping document with source column names and destination merge field assignments.
Mailchimp audience and field configuration
We configure the destination Mailchimp audience, including creating custom merge fields to match Opera 3's exported column set, normalising field names to Mailchimp's tag-safe format, and mapping Opera 3 address components to Mailchimp's structured ADDRESS merge field. We apply audience-level settings including opt-in confirmation (double opt-in or single), GDPR compliance fields, and tag naming conventions for owner and supplier tagging. Where multiple Opera 3 companies are in scope, we create a separate audience for each and document the audience-to-company mapping.
Data extraction and transformation
We extract the Sales Ledger customer and contact CSV from Opera 3, resolve multi-contact-per-customer structures into individual member rows, split address and notes fields that exceed Mailchimp's 255-character limit, and generate a suppression list of contacts with bounce or unsubscribe indicators. We apply the owner tag from the Sales Ledger owner assignment and apply supplier vs customer segmentation tags. All transformation is documented in a runbook so it is reproducible if a re-import is required. The transform step is validated against a sample of 50-100 records before full export runs.
Sandbox import and reconciliation
We run a test import into a staging Mailchimp audience using a representative subset of records (typically 5-10% of total volume) to validate field mapping, tag application, merge field splitting, and address formatting. We check that member counts match the source CSV, that email addresses are present and correctly formatted, and that unsubscribe records do not appear as subscribed members. The customer reviews the staging audience and confirms the mapping before the production import proceeds.
Production import and suppression list upload
We upload the suppression list first, then run the production member import via Mailchimp's API or bulk CSV upload. We monitor import completion and bounce rates, and resolve any field mapping errors raised by Mailchimp's validation. We generate a row-count reconciliation report comparing Opera 3 records in against Mailchimp members created and flag any records excluded due to missing email or validation failure. The customer reviews and signs off the reconciliation report.
Automation rebuild handoff and go-live
We enable Mailchimp as the active audience and configure any remaining Mailchimp settings (sender domain authentication, campaign defaults, signup forms). We deliver the written inventory of Opera 3 CRM activity notes migrated to member notes, the suppression list confirmation, and a documented list of any Mailchimp automations or campaign templates that require manual rebuild based on the activity history in Opera 3. We do not rebuild Mailchimp automations as standard scope; that work is handled by the customer's marketing team or a Mailchimp specialist partner.
Platform deep dives
Opera 3
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Opera 3 and Mailchimp.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Opera 3 and Mailchimp.
Object compatibility
All 8 core objects map 1:1 between Opera 3 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
Opera 3: Not publicly documented — no published API means no documented rate limits.
Data volume sensitivity
Opera 3 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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