CRM migration
Field-level mapping, validation, and rollback between Optimiser CRM and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Optimiser CRM
Source
Salesforce Sales Cloud
Destination
Compatibility
8 of 12
objects map 1:1 between Optimiser CRM and Salesforce Sales Cloud.
Complexity
CModerate
Timeline
4-8 weeks
Overview
Moving from Optimiser CRM to Salesforce Sales Cloud is a migration from a platform with no documented public API and CSV-only export to one of the most extensively documented enterprise CRM platforms in the market. Optimiser CRM stores data in a single-export-per-module pattern that requires automated pagination for complete record extraction, while Salesforce accepts data via REST API, Bulk API 2.0, and Data Loader with validation rules and field-level security that must be explicitly managed during import. We resolve the pipeline stage mapping by extracting Optimiser's configurable stage names and building a stage-mapping table against Salesforce Opportunity Stage values before any records load. Custom fields are enumerated per-instance during scoping because each Optimiser tenant defines its own schema. Automation rules, assignment logic, and workflow triggers built in Optimiser do not export in a machine-readable format; we deliver a written automation inventory for the customer's admin to rebuild in Salesforce Flow. Activity history (calls, emails, meetings, notes) migrates via Bulk API 2.0 with parent-record lookup resolution to preserve the full timeline against the correct Contact and Opportunity.
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 Optimiser CRM object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Optimiser CRM
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manyOptimiser CRM Contact records with status indicating unqualified prospect (Lead status, new inquiry, unqualified) map to Salesforce Lead. Contacts with status indicating active relationship, customer, or closed-won map to Salesforce Contact tied to an Account. We enumerate the customer's Optimiser status values during scoping and build a status-to-object mapping table before migration. The original Optimiser status value is preserved in a custom field ocrm_original_status__c on both Lead and Contact for audit and reporting continuity.
Optimiser CRM
Company
Salesforce Sales Cloud
Account
1:1Optimiser CRM Company records map directly to Salesforce Account. Company name becomes Account Name; domain or website data maps to the Website field where available. We use Account Name as the dedupe key during import to prevent duplicate Account creation. Account records are inserted before Contact records so that AccountId lookup references are satisfied at the moment of Contact insert.
Optimiser CRM
Deal
Salesforce Sales Cloud
Opportunity
1:1Optimiser CRM Deals map to Salesforce Opportunity. The Deal amount, expected close date, owner assignment, and custom fields migrate directly. Pipeline stage names from Optimiser are mapped to Salesforce Stage values via a stage-mapping table we build during scoping; stages with zero records in Optimiser are excluded from the destination Salesforce stage set. Closed-Lost and Closed-Won custom fields from Optimiser become Salesforce Loss Reason and custom win/loss date fields.
Optimiser CRM
Lead
Salesforce Sales Cloud
Lead
1:1Optimiser CRM Lead records map directly to Salesforce Lead. Lead status, source, and score fields migrate to corresponding Salesforce Lead fields. Any custom fields on the Optimiser Lead object are created as Salesforce custom fields (with __c suffix) and mapped before import. The source field names are preserved in the mapping table for the customer's admin to reference during post-migration validation.
Optimiser CRM
Activity: Call, Email, Meeting, Note
Salesforce Sales Cloud
Task, Event, EmailMessage, Note
1:1Optimiser CRM Activities (calls, emails, meetings, notes) logged against Contacts or Deals export as activity records with parent record references. Calls map to Salesforce Task with TaskSubtype = Call. Emails map to Salesforce EmailMessage records linked to a Task. Meetings map to Salesforce Event with StartDateTime, EndDateTime, and Location preserved. Notes map to Salesforce Note records linked via ContentDocumentLink to the parent Contact, Lead, Account, or Opportunity. We resolve the WhoId (Contact or Lead) and WhatId (Opportunity or Account) on each activity during the transform phase before bulk API insert.
Optimiser CRM
User / Owner
Salesforce Sales Cloud
User
1:1Optimiser CRM User records carry name, email, and role. We map Optimiser users to Salesforce User records by email address as the match key. Any Optimiser Owner without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision the User before record import resumes. OwnerId references on Deals and Activities cannot be resolved without an active Salesforce User record.
Optimiser CRM
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage
lossyOptimiser CRM allows configurable pipeline stages per deal type with no documented limit on stage count. We extract the full stage list during scoping and create a Salesforce Opportunity Stage value set that mirrors the source. Stage probabilities from Optimiser are mapped to Salesforce StageProbability values, rounded to the nearest integer that Salesforce accepts. Stages with zero records in Optimiser are not created in Salesforce to keep the stage set lean.
Optimiser CRM
Custom Field
Salesforce Sales Cloud
Custom Field (__c)
lossyOptimiser CRM supports custom properties on Contacts, Companies, and Deals with schema varying per instance. We enumerate every active custom field during scoping via a trial export, excluding fields with zero data values. Each Optimiser custom field is created in Salesforce as a custom field with the appropriate type (text, number, picklist, date, checkbox, etc.), and the mapping is documented in the field inventory. Custom field values transfer directly where types are compatible; type mismatches (e.g., Optimiser free-text storing numeric values) require explicit transform logic.
Optimiser CRM
Tag / Label
Salesforce Sales Cloud
Multi-Select Picklist
lossyTags applied to Contacts or Deals in Optimiser CRM export as label values. We migrate tags as multi-select picklist values in Salesforce. If the destination org uses Salesforce Topics, we can alternatively create Topic and TopicAssignment records during migration. The customer chooses tag strategy during scoping. Tags with values that exceed Salesforce picklist length limits are truncated and flagged in the mapping documentation.
Optimiser CRM
Project
Salesforce Sales Cloud
Custom Object (Project__c)
1:1Optimiser CRM includes project management modules alongside CRM data. If the customer requests Project migration, we create a Salesforce custom object Project__c with fields mapped from the Optimiser Project schema. Projects often have lookups to Company (Account) and Contact records, so Project migration runs after Account and Contact inserts to satisfy those relationships. If the destination Salesforce org uses a project management tool (such as Salesforce Flow for project tracking, a PSA tool, or a third-party integration), we recommend that Projects be migrated last and the customer's admin confirm the destination schema before migration.
Optimiser CRM
Document / Attachment
Salesforce Sales Cloud
ContentDocument / Attachment
1:1Document attachments referenced by URL or stored in Optimiser CRM's file store are downloaded locally during the extraction phase, then uploaded to Salesforce as ContentVersion records and linked to the correct parent record via ContentDocumentLink. The parent record (Contact, Account, Opportunity) must exist in Salesforce before the ContentVersion upload so that the ContentDocumentLink can reference it. Attachments over 25 MB in Optimiser are flagged for manual review because Salesforce has a 25 MB per-file limit for ContentVersion.
Optimiser CRM
Automation Rules / Workflows
Salesforce Sales Cloud
None (no migration)
1:1Optimiser CRM workflows, assignment rules, and triggered sequences are stored in the platform's proprietary logic layer and are not accessible via export. We do not migrate automations. During scoping, we collect every automation the customer identifies, document its trigger type, conditions, actions, and recommended Salesforce Flow equivalent, and deliver this as a written rebuild checklist. Each automation adds 1-2 hours to the scoping timeline. The customer's admin or a Salesforce partner rebuilds them post-migration.
| Optimiser CRM | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Activity: Call, Email, Meeting, Note | Task, Event, EmailMessage, Note1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Custom Field | Custom Field (__c)lossy | Fully supported | |
| Tag / Label | Multi-Select Picklistlossy | Fully supported | |
| Project | Custom Object (Project__c)1:1 | Fully supported | |
| Document / Attachment | ContentDocument / Attachment1:1 | Fully supported | |
| Automation Rules / Workflows | None (no migration)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.
Optimiser CRM gotchas
No public API documentation for data export
Custom field schema varies by instance
Automation rules do not transfer
Limited review volume for independent evaluation
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and Optimiser export enumeration
We audit the source Optimiser CRM instance across every module: Contacts, Companies, Deals, Leads, Activities, custom fields, pipeline stages, users, tags, and Projects. We enumerate the complete set of CSV export runs required and confirm pagination limits per export run. We collect every active automation the customer identifies and document them for the rebuild checklist. We pair this with a Salesforce edition decision: Professional ($80/user) covers most migrations without custom objects; Enterprise ($165/user) is required if the customer needs record-triggered Flow at scale, advanced reporting, or territory management. The discovery output is a written migration scope, stage-mapping table, field inventory, and automation checklist.
Optimiser CSV export automation and field enumeration
We build a pagination automation that cycles through Optimiser CRM's CSV export utility across all modules. Each export run captures records in batches, and we concatenate the outputs into a complete dataset. We enumerate every custom field present in the export, excluding fields with zero data values. We document the source field names, data types, and sample values for every custom field. This enumeration becomes the basis for the Salesforce field creation and mapping table.
Salesforce schema design and stage-mapping configuration
We design the destination Salesforce schema: custom objects (with __c API names matched to Optimiser object names), custom fields (with type-mapped Salesforce field types), Record Types (one per Optimiser pipeline), Sales Processes (stage whitelist per Record Type), Page Layouts, and the Lead-Contact split rule based on Optimiser contact status values. Pipeline stage names from Optimiser are mapped to Salesforce Opportunity Stage values via the stage-mapping table. Schema is deployed via Salesforce Metadata API or change set into a Sandbox org first for validation. We coordinate with the customer's Salesforce admin to configure field-level security and validate that the migration user has the required permissions.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's RevOps lead reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 random records against the Optimiser source, and signs off the schema, stage mapping, and field mapping before production migration begins. Any mapping corrections happen here, not in production. This step also validates that validation rules and field-level security do not cause record rejection during bulk API insert.
Owner reconciliation and User provisioning
We extract every distinct Optimiser CRM Owner referenced on Deal, Contact, Company, and Activity records and match by email against the Salesforce destination org's User table. Owners without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users before record migration resumes. OwnerId references on Opportunities, Tasks, and Events cannot be resolved without an active Salesforce User record.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Optimiser Companies), Leads and Contacts (with the status split applied), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Users (manual provisioning validated), Activity history (Tasks, Events, EmailMessages, Notes via Bulk API 2.0), Custom Objects (Projects or other custom objects last, because they often have lookups to standard objects), and ContentDocuments (after parent records exist). Each phase emits a row-count reconciliation report before the next phase begins. We temporarily disable or extend Salesforce validation rules during bulk load to prevent record rejection.
Cutover, validation, and automation rebuild handoff
We freeze Optimiser CRM writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the automation rebuild checklist to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's sales team. We do not rebuild Optimiser automation rules as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Optimiser CRM
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 7 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 Optimiser CRM and Salesforce Sales Cloud.
Object compatibility
7 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
Optimiser CRM: Not publicly documented.
Data volume sensitivity
Optimiser CRM 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.
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FAQ
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