Move from HubSpot, Pipedrive, Microsoft Dynamics, another Salesforce org or a legacy data source with a migration plan built around relationships, data quality, user ownership, cutover control and business validation - not just record counts.
Share the source platform, approximate scope and target Salesforce environment. We will help you identify the next technical step.
Record totals alone do not prove that Salesforce is ready for users. Relationships, ownership, historical context, duplicate rules, automation and reports all depend on how the data lands.
The strongest migration projects do not recreate years of CRM clutter inside a new platform. IDS Logic starts by understanding which records support current sales, service and operational processes, how source objects relate to the Salesforce data model, and which historical information still has business value.
We then define transformation rules, target fields, ownership, duplicate handling, dependency order, validation criteria and cutover controls before production data is loaded. This creates a migration that is easier to test, explain and support after go-live.
Each source CRM has its own object model, lifecycle logic and history. We map the business meaning first, then the fields.
For organisations that need to migrate from HubSpot to Salesforce while preserving usable customer, pipeline and activity context.
Translate Pipedrive organisations, people, deals, activities and custom fields into a Salesforce structure that supports future reporting and automation.
Map Dynamics entities and business rules into Salesforce objects, permissions and processes instead of assuming a one-to-one platform conversion.
Consolidate, carve out or move data from one Salesforce org to another while re-establishing relationships against the target org's new record IDs.
Consolidate structured data from custom applications, CSV files, databases and older CRMs into a governed Salesforce data model.
Prepare integrations and operational dependencies for a Salesforce-managed Hyperforce org move without confusing infrastructure migration with customer data migration.
Salesforce relationships are tied to record IDs. During a Salesforce to Salesforce migration, or a move from another CRM, the target records receive new identifiers and dependent records must be reconnected in the correct order.
We define parent-child dependencies, legacy identifiers, external IDs, lookup rules and exception handling before executing production loads. This makes failed relationships and duplicate records easier to identify and correct.
The sequence can be adapted for small migrations, multi-system consolidations and complex Salesforce org-to-org programmes.
Sources, objects, fields, volumes, integrations, users, files and data-quality risks.
Target objects, relationships, ownership, record types, archive decisions and mapping rules.
Deduplicate, standardise, enrich, reshape and create cross-reference identifiers.
Load representative records in a controlled environment and validate end-to-end behaviour.
Freeze where required, extract final deltas, execute sequenced loads and track exceptions.
Compare counts, relationships, reports and critical journeys before business sign-off.
The mapping decisions below are examples of the questions that typically affect quality, effort and reporting after go-live.
| Migration path | Typical source concepts | Target design questions | Validation focus |
|---|---|---|---|
| HubSpot to Salesforce | Companies, contacts, deals, lifecycle stages, custom properties, activities. | How do lifecycle stages map to lead/contact/account/opportunity logic? Which associations and marketing history still matter? | Associations, owners, pipeline totals, activities, duplicates and reporting definitions. |
| Pipedrive to Salesforce | Organisations, people, deals, pipelines, activities, labels and custom fields. | Which pipelines become record types or sales processes? How should deal stages translate into opportunity stages? | Deal values, stage history decisions, person-to-organisation links, activity ownership and custom fields. |
| Dynamics to Salesforce | Entities, business units, security roles, processes, activities and custom entities. | Which entities map to standard objects versus custom objects? How should access and process logic be redesigned? | Relationships, ownership, permissions, activities, custom entity coverage and business reports. |
| Salesforce to Salesforce | Objects, record types, IDs, files, activities, users, sharing and custom metadata. | Is the target schema already aligned? Which metadata must exist before data? How are legacy IDs retained? | Parent-child links, owners, record types, files, historical references and new target IDs. |
Scope should be explicit. Moving everything can create more noise, cost and validation work without improving the target CRM.
Accounts, companies, contacts, leads, addresses, identifiers and other core customer records.
Clean identities
Deals, opportunities, products, stages, values, close dates and relevant historical sales context.
Preserve commercial context
Cases, tasks, calls, meetings, notes and interactions selected for operational continuity or reporting.
Useful history
Source-specific structures are assessed against standard Salesforce capabilities before custom objects are recreated.
Avoid unnecessary customisation
Attachments and files require separate scope, relationship mapping, storage planning and validation from ordinary record data.
Content relationships
User ownership, teams, currencies, statuses, picklists and lookup references are mapped to target configuration before final loads.
Operational readinessA Salesforce org migration or consolidation requires more than exporting and importing records. The target org must be ready for the data model, users, security and dependencies before records are loaded.
Confirm required objects, fields, record types, validation rules and permissions exist in the target before data loads begin.
Retain source IDs in dedicated fields or external IDs so relationships can be rebuilt and records can be traced during reconciliation.
Load parent objects before dependent records and replace source relationship IDs with their new target equivalents.
Decide how active, inactive and departed users map to target owners before opportunities, cases, tasks and other records move.
Scope attachments, Salesforce Files, tasks, events, notes and communication history explicitly because they can materially change migration volume.
Compare counts, sums, sample records, failed-load logs and relationship integrity rather than relying on a single successful load status.
It is different from a HubSpot, Dynamics or Salesforce org-to-org data migration. Salesforce moves the org to new infrastructure. IDS Logic can help you assess dependencies and prepare the surrounding estate so integrations and user access continue to work as expected.
Hyperforce readiness is mainly about dependencies that may assume a particular instance, IP range, domain, network route or integration behaviour. We help identify those assumptions before the Salesforce-managed migration window.
Review instance-specific URLs, hard-coded references and external connection settings.
Check allowlists and security controls where your organisation still depends on fixed IP ranges.
Plan around refresh activity and avoid clashes with the scheduled migration window.
Test authentication, integrations, email-dependent workflows and business-critical CRM journeys.
For active CRMs, final cutover needs a controlled way to handle data that changes after the pilot extraction and before users move to Salesforce.
Agree which source changes pause, continue or require a final delta during the migration window.
Capture approved production data and any changed records since the rehearsal.
Execute users, parents, children, activities and content in the defined dependency order.
Review counts, value totals, exceptions, key relationships and critical business reports.
Validate representative customer and operational journeys before normal CRM activity resumes.
There is no single Salesforce import tool for every migration. We select the method according to the data set, dependency graph, automation, repeatability and volume.
A migration price should reflect the actual work required to understand, transform, validate and cut over the data. A small contact import and a multi-CRM consolidation should not be estimated the same way.
We scope the migration after reviewing source systems and the target Salesforce design, then separate data work from configuration, integration or process redesign where those are also required.
Start with the source systems, data volumes, current pain points and target CRM goals. We can help turn them into a migration scope, mapping plan and validation approach.
These published projects demonstrate Salesforce integration and platform engineering capability. They are presented as relevant delivery evidence, not as claims that the projects were CRM-to-Salesforce migration engagements.
IDS Logic connected website lead capture with Salesforce using accurate field mapping and API-led integration as part of a wider digital transformation programme.
IDS Logic built a Salesforce Field Service proof of concept using Apex and Lightning Web Components in a dedicated sandbox environment.
Existing project assets show certification coverage across administration, architecture, development and cloud consulting disciplines relevant to Salesforce delivery.
Administrator
Application Architect
Platform
App Builder
Platform
Developer
Service Cloud Consultant
Data
Cloud ConsultantOur 4T approach keeps the engagement practical from discovery through validation.
Salesforce data models, APIs, import tooling, integration patterns and engineering support where migration complexity demands it.
Explicit scope, controlled access, traceable mapping rules and validation evidence for business-critical customer information.
Visible exception logs, clear migration decisions and honest separation between data work, process redesign and platform configuration.
Pilot loads, dependency sequencing and planned cutover reduce avoidable disruption and late-stage surprises.
Scope typically includes source discovery, data profiling, target mapping, cleansing and transformation rules, pilot loads, production migration, exception handling, reconciliation and business validation. Configuration, automation rebuilds and integrations are scoped separately where required.
We define matching rules and durable identifiers before load, normalise key fields, identify duplicate source records and decide which records should merge, remain separate or be archived. Target Salesforce duplicate and matching behaviour is also considered before cutover.
Yes. Dynamics entities, relationships, activities and selected historical data can be mapped into Salesforce. Security roles, workflows, reports and Power Platform dependencies are not simple record copies, so they need separate mapping or redesign where they remain in scope.
Yes, but the relationships need to be deliberately reconstructed. Parent objects are migrated first, source-to-target ID mappings are captured, and child records are then loaded using the new target IDs or external-ID relationships.
It depends on source activity, data volume, delta strategy and the cutover design. Some migrations need a controlled source freeze; others can use a rehearsal plus final delta extraction. We define the cutover method during migration planning rather than promising a universal zero-downtime approach.
We use more than record counts. Validation can include object counts, financial or pipeline totals, parent-child relationships, owners, sample record comparisons, failed-record reports, critical dashboards and representative user journeys before sign-off.
Yes. A HubSpot to Salesforce migration can include companies, contacts, deals, owners, custom properties and selected activity history. The important work is deciding how HubSpot lifecycle stages, associations and pipeline logic map into Salesforce objects and processes.
Yes. Pipedrive organisations, people, deals, activities, pipeline stages and custom fields can be mapped into Salesforce. Because Pipedrive and Salesforce model selling processes differently, pipeline and ownership decisions should be agreed before the data is transformed.
The target org is prepared first, then data is moved in dependency order. Source record IDs are normally retained in legacy or external ID fields so newly created target records can be cross-referenced and relationships can be rebuilt against the new Salesforce IDs.
They can be included when they are required and technically available from the source. Files and historical activity can materially increase volume and validation effort, so we recommend scoping which history is operationally or legally useful rather than automatically moving everything.
Hyperforce migration is a Salesforce-managed infrastructure move that relocates an org to Hyperforce. It is different from manually migrating CRM records between customer systems. IDS Logic can support readiness checks around endpoints, integrations, network controls, SSO, sandboxes and post-migration validation.
Main factors include the number of source systems, objects, record volumes, file volumes, data quality, relationship complexity, custom entities, transformation rules, integration dependencies, cutover constraints and the level of reconciliation or UAT required.
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