CRM migration

Migrate from Optimiser CRM to Salesforce Sales Cloud

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 logo

Optimiser CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

67%

8 of 12

objects map 1:1 between Optimiser CRM and Salesforce Sales Cloud.

Complexity

CModerate

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Optimiser CRM logo

Optimiser CRM

What's pushing teams away

  • Data import is repeatedly cited as a weak point in reviews — small businesses migrating from spreadsheets or another CRM hit friction during onboarding.
  • Outlook integration depth varies by reviewer; some report automated email-report syncing does not work as expected, forcing manual exports.
  • UI is described as 'could be slightly more user-friendly' — fine for daily use but not as polished as Pipedrive, HubSpot, or Zoho CRM at similar price points.
  • Bank-transfer-only billing complicates procurement for buyers outside the UK or those used to monthly card billing.
  • Small G2/Capterra review footprint and a UK-centric ecosystem mean buyers outside the UK have limited reference customers and partner availability.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Optimiser CRM objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Task, Event, EmailMessage, Note

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Custom Field (__c)

lossy
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

Multi-Select Picklist

lossy
Fully supported

Tags 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

maps to

Salesforce Sales Cloud

Custom Object (Project__c)

1:1
Fully supported

Optimiser 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

maps to

Salesforce Sales Cloud

ContentDocument / Attachment

1:1
Fully supported

Document 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

maps to

Salesforce Sales Cloud

None (no migration)

1:1
Fully supported

Optimiser 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.

Gotchas + challenges

What specifically takes care here

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 logo

Optimiser CRM gotchas

High

No public API documentation for data export

Medium

Custom field schema varies by instance

Medium

Automation rules do not transfer

Low

Limited review volume for independent evaluation

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Optimiser CRM has no documented REST API

    Optimiser CRM does not publish a public REST API or bulk export endpoint in its developer documentation. We extract data via the platform's built-in CSV export utility, which limits record count per export run and requires automated pagination across multiple exports for complete coverage. We build a pagination automation that cycles through Optimiser's export windows to ensure every record is captured. This export mechanism means migration timelines scale with the number of distinct export runs required, and any future Optimiser interface changes that affect the export utility may require adjustment to the extraction script.

  • Custom field schema is unique per Optimiser instance

    Each Optimiser CRM tenant defines its own custom fields on standard objects, and there is no standard reference schema. Before migration, we request a field inventory from the customer or perform a trial export to enumerate every active field. Fields with zero data across all records are excluded to avoid creating dead columns in the destination CRM. This enumeration step is required for every migration and adds 2-4 hours to scoping depending on the number of custom fields defined.

  • Automation rules and workflows do not export

    Workflows, assignment rules, and triggered sequences built in Optimiser CRM are stored in the platform's proprietary logic layer and are not accessible via export. We flag every automation the customer identifies during scoping and provide a rebuild checklist mapped to the destination CRM's equivalent automation feature. This step adds 1-2 hours per automation to the migration timeline. The customer should budget for Salesforce Flow rebuild work as a separate post-migration task.

  • Salesforce field-level security and validation rules can block import

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist whitelists) and field-level security that the migrating user must explicitly bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user Modify All Data and the relevant Bulk API permission set, and we either temporarily disable validation rules during load or extend them with a migration-context check. Skipping this step results in 5-30 percent record rejection on the first import attempt, particularly on required custom fields that have no source data in Optimiser.

  • Activity history requires parent-record lookup resolution before bulk API insert

    Optimiser CRM activity records (calls, emails, meetings, notes) reference parent records by internal Optimiser IDs that have no direct equivalent in Salesforce. We resolve each activity's WhoId (Contact or Lead) and WhatId (Opportunity or Account) during the transform phase by matching on email address for WhoId and account name for WhatId. Activities that reference parent records that do not exist in the destination org are held in a dead-letter queue for the customer's admin to review and manually link post-migration.

Migration approach

Six steps for a successful Optimiser CRM to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

Context on both ends of the pair

Optimiser CRM logo

Optimiser CRM

Source

Strengths

  • All-in-one platform consolidating CRM, project management, and marketing automation in a single subscription
  • Cloud-based delivery with no on-premise infrastructure requirements
  • Customizable object schema allows businesses to tailor fields and modules to their process
  • Free CRM tier available alongside paid plans targeting small to enterprise teams

Weaknesses

  • Limited public documentation on API endpoints, data model schema, and export mechanisms
  • Very few verified user reviews available on major review platforms, making independent evaluation difficult
  • Breadth of features across modules may introduce complexity for teams seeking a focused CRM tool
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Moderate CRM migration. 7 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Optimiser CRM and Salesforce Sales Cloud.

  • Object compatibility

    D

    7 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Optimiser CRM: Not publicly documented.

  • Data volume sensitivity

    B

    Optimiser CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Optimiser CRM to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Optimiser CRM to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Optimiser CRM to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between four and eight weeks for accounts under 25,000 Contacts and 5,000 Deals with no custom objects and a straightforward pipeline stage mapping. Migrations with custom objects, multi-pipeline Deal structures, large engagement histories (over 500,000 activity records), or Salesforce orgs requiring Sandbox validation move to ten to sixteen weeks because of CSV pagination automation, stage-mapping configuration, and Bulk API time for activity history.

Adjacent paths

Related migrations to explore

Ready when you are

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