Freshsales ✓ Salesforce Migration
Freshsales
Salesforce

Migrate from Freshsales Deals to Salesforce Opportunities

Freshsales Deals lack the forecasting depth and field customization that scaling teams need. SuprSwitch extracts every Deal record with complete field fidelity using our proprietary transformation layer, mapping Freshsales' flat structure to Salesforce's native schema in hours, not weeks.

100%
Mapping Accuracy
4k/sec
Transfer Speed
Zero Loss
Data Integrity
"Will my Freshsales custom fields and field mappings transfer to Salesforce, or do I need to rebuild them manually?"
SuprSwitch's native schema mapping engine automatically captures all Freshsales custom fields and translates them into equivalent Salesforce field types—text fields become Text, dropdowns become Picklists, and number fields map to Number fields. Our in-house transformation layer intelligently handles field-level metadata, so your field dependencies and validation rules survive intact without any manual configuration.
"What happens to my Freshsales activity history—calls, emails, and tasks—when I migrate to Salesforce?"
Our proprietary direct data extraction captures the complete activity timeline from Freshsales (call logs, email history, task records, and timestamps) and reconstructs them as Salesforce Task and Event objects with full audit trails preserved. Each activity maintains its original creation date, associated owner, and linked contact or account, so your team never loses historical context.
"How does SuprSwitch handle Freshsales hierarchy and account relationships when moving to Salesforce's parent-child account structure?"
SuprSwitch's transformation layer maps Freshsales account-to-account relationships and contact hierarchies directly into Salesforce's Account Parent field and contact associations, automatically resolving and validating all parent IDs during migration. If your Freshsales setup uses custom relationship objects, our engine converts them into Salesforce Lookup fields with the correct cardinality—ensuring your organizational structure translates perfectly without orphaned records.
Why SuprSwitch

Why Sales Teams Choose SuprSwitch Over a Freshsales CSV Export to Salesforce

Freshsales's native CSV export flattens multi-level relationships, strips custom field type information, and loses Freshsales Deal-to-Contact associations entirely—forcing you to manually rebuild what you already had. SuprSwitch's in-house transformation layer extracts Freshsales's structured data directly, preserves referential integrity across all object types, and maps every field to the correct Salesforce field type without manual intervention.

🔗

Deal-Contact Associations Preserved End-to-End

Freshsales stores many-to-many relationships between Deals and Contacts (plus Contacts to Accounts), but CSV export collapses these into flat rows, forcing you to manually recreate which Contact influenced which Deal in Salesforce. SuprSwitch's native schema mapping recognizes Freshsales Deal-to-Contact associations and maps them directly to Salesforce Opportunity-to-Contact roles, maintaining your entire relationship graph. Your sales team lands in Salesforce with Deal ownership, collaboration records, and stakeholder relationships already intact.

🎯

Pipeline Stages Land as Salesforce Record Types

Freshsales Pipelines often contain custom deal stages that don't translate through CSV—they become plain text values that break Salesforce's picklist validation. SuprSwitch recognizes Freshsales Pipeline definitions and intelligently maps each stage to Salesforce's StageName picklist, preserving your exact stage sequence and sales process logic. Your deal velocity reporting and funnel forecasts work immediately because the stage taxonomy is already understood by Salesforce's native engine.

📋

Custom Fields Migrate as Native Types, Not Text Blobs

When you export Freshsales Deals and Contacts via CSV, custom fields (checkbox, date, number, dropdown) all become plain text columns—Salesforce treats them as Text(255) unless you manually remap them. SuprSwitch's transformation layer reads Freshsales's field metadata directly and creates corresponding Salesforce custom fields with the correct type, length, and picklist values. A Freshsales custom number field becomes a Salesforce Number field; a checkbox becomes a Checkbox field—your formulas, validations, and reports work on day one.

⏱️

Activity History and Call Logs Travel with the Record

Freshsales Call Logs, Emails, Tasks, and Notes don't export via standard CSV at all—they stay behind in Freshsales while your Contact and Deal data lands in Salesforce naked. SuprSwitch's in-house engine directly extracts the entire Activity timeline from Freshsales and writes it to Salesforce as native Tasks, Events, and Activity History, preserving timestamps, participants, and outcome details. Your sales team sees the full engagement story when they open a Contact or Opportunity in Salesforce, not a blank history.

Trusted by 200+ sales-led teams who migrated off
Data Coverage

Every Freshsales Asset, Accounted For

Freshsales organizes customer data around Contacts, Accounts, Deals, Tasks, Notes, and Products. SuprSwitch migrates all of these core objects seamlessly into Salesforce, preserving relationships, custom fields, and data integrity throughout the transfer.

👤 Contacts
All records
Contacts
Salesforce Contacts
💡 Freshsales Contact fields (name, email, phone, mobile, address) map directly to Salesforce Contact fields with automatic type preservation; custom contact fields transfer as custom fields on the Salesforce Contact object.
🏢 Accounts
All records
Accounts
Salesforce Accounts
💡 Freshsales Accounts (company/organization records) map to Salesforce Accounts with parent-child relationships preserved; account hierarchy and custom account fields maintain their structure in Salesforce.
🎯 Deals
All records
Deals
Salesforce Opportunities
💡 Freshsales Deals transfer as Salesforce Opportunities with stage mappings preserved; deal probability, close date, and currency fields convert to match Salesforce's Opportunity record type and picklist values.
Tasks
All records
Tasks
Salesforce Tasks
💡 Freshsales Tasks map to Salesforce Tasks with activity type, due date, and priority fields converted to Salesforce picklist values; task-to-record relationships (Contact/Account/Deal) are maintained.
📝 Notes
All records
Notes
Salesforce Notes
💡 Freshsales Notes transfer as Salesforce Notes with timestamps, authors, and parent record associations preserved; note content and rich text formatting are maintained in the migration.
📦 Products
All records
Products
Salesforce Products
💡 Freshsales Products (catalog items with pricing) map to Salesforce Products with price book associations and custom product fields; product SKUs, descriptions, and unit costs transfer with full fidelity.
📸

Pre-Migration Data Preview

Before we touch anything, SuprSwitch generates a full data inventory of your account: record counts per object, custom field list, pipeline structure, and owner mapping. You approve the field map before the migration runs.

Under the Hood

Built for Freshsales' Relational Object Model

Freshsales uses a hierarchical relational schema with accounts, contacts, deals, and custom objects all interconnected through numeric ID references and foreign key relationships. SuprSwitch's proprietary extraction engine reads directly from Freshsales' data layer, preserving the complete object graph and all inter-entity associations without relying on flat exports or record-by-record iteration.

Direct Relational Data Extraction

Schema-Native Pull

Freshsales stores contacts, accounts, and deals as normalized relational entities with numeric IDs and foreign key constraints. Our extraction engine reads these relationships at the database layer, capturing the full context of each record (parent account, deal pipeline stage, owner assignments) in a single pass. This eliminates the data loss that occurs when exporting via CSV—we preserve multi-select fields, nested custom objects, and association metadata that typically flatten or disappear in text-based exports.

Bi-directional Association Rebuild

Referential Integrity

Freshsales organizes data through parent-child relationships: contacts belong to accounts, deals link to both accounts and contacts, and custom objects reference multiple entity types. SuprSwitch maps these associations during transformation, rebuilding each relationship in Salesforce's account-contact-opportunity model while preserving the original ID mapping logic. We handle N:M relationships (e.g., contacts on multiple deals) and enforce referential integrity so no orphaned records remain in the target system.

Custom Field Type Mapping Engine

Type-Safe Conversion

Freshsales supports field types including text, number, dropdown, multi-select, date, checkbox, and currency—each with distinct internal representations and validation rules. Our native schema mapping translates Freshsales dropdown values into Salesforce picklists, multi-select into multi-picklists, and numeric currency fields into Salesforce's decimal currency type without data truncation. Custom field metadata (length, required flags, default values) transfers automatically so validation rules match the original system's constraints.

Zero-Downtime Migration Pipeline

Live-Safe Sync

Freshsales continues accepting writes during migration via our delta-sync transformation layer, which captures changes made after the initial extraction snapshot. We perform a full sync, then track incremental updates to accounts, contacts, and deals up to cutover, ensuring zero records are missed. The final sync runs in minutes, allowing your Freshsales instance to stay operational until the moment you switch traffic to Salesforce.

100% Data Fidelity Guarantee

We verify record counts and field values in before sign-off. Any discrepancy is fixed before you go live.

30-Day Post-Migration Support

A dedicated migration engineer is available for 30 days post-launch to fix any data issues that surface after your team starts using.

SOC 2 Compliant Process

Data is encrypted in transit and at rest. We never store your credentials — OAuth tokens are used and revoked per migration.

Migration Architecture

Migration Architecture: Freshsales → Salesforce

Our migration approach is optimized for Freshsales's hierarchical contact and company structure, alongside its embedded activity and deal lifecycle model. We extract data at the entity level, normalize Freshsales fields to Salesforce's standard object schema, and preserve all relationship integrity throughout the process.

1
Schema Audit & Mapping
Inventory all Freshsales contacts, accounts, deals, and custom fields. Map Freshsales entities to Salesforce Accounts, Contacts, Opportunities, and Activities. Validate field compatibility and flag custom objects for transformation.
Day 1
2
Primary Object Migration
Migrate Freshsales accounts as Salesforce Accounts, contacts as Contacts, and deals as Opportunities. Load standard and custom field data via batch transformation layer. Deduplicate accounts and standardize lead-to-contact conversions.
Day 2
3
Associations & Activity History
Establish account-contact and opportunity-contact relationships. Migrate Freshsales tasks, notes, and email interactions as Salesforce Activities and chatter records. Preserve created-by and modified-by audit fields.
Day 3
4
Delta Sync & Go-Live
Capture Freshsales changes made during migration window. Run final record count and field-level validation. Flip Salesforce to production mode; disable Freshsales writes.
Day 4
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SuprSwitch's proprietary extraction engine reads Freshsales account hierarchies, contact records, and deal pipelines directly from the source database, capturing metadata and relationships without intermediate transformation layers.

A native schema mapping layer translates Freshsales field types, picklist values, and custom objects into Salesforce standard and custom objects via batch processing, executing staged transformations across Contacts, Accounts, and Opportunities simultaneously.

Post-migration validation compares Freshsales and Salesforce record counts by object type, validates field value integrity through sampling and checksums, and audits relationship associations to ensure zero data loss or corruption.

The Human Element

Beyond Automation: In-House RevOps Experts

Our proprietary engine handles 99% of the heavy lifting, but every CRM has strict platform limitations. When HubSpot restricts automated imports for complex workflows or proprietary activity history, our in-house RevOps professionals step in.

We manually rebuild the business logic that machines can't touch, ensuring your new environment is perfectly tuned and ready for your sales team on day one.

RevOps Expert RevOps Expert RevOps Expert

Dedicated RevOps Engineer included with every migration.

What our experts handle manually:

Complex Workflows & Automations

Automated engines cannot migrate business logic. We manually translate and rebuild your HubSpot automations natively in HubSpot.

Restricted Activity History

Some historical data types are locked by HubSpot. Our team uses creative data-structuring to ensure no context is lost.

Custom Object Architecture

When standard mapping isn't enough, we architect and deploy custom objects in HubSpot to match your exact sales motion.

Choose the Migration Plan That Fits Your Business

Whether you want complete control or expert guidance, we’ve got you covered.

Self-Service

$499

Starting price, up to 50,000 records

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Access to all supported CRMs

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Free Sample migrations

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Real-time Preview

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Migration Analytics Report

Custom Migration

$Talk to us

Custom quotes for complex migrations.

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Everything in Guided Migration +

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Complex Field Transformations

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Industry-Specific Customizations

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Legacy System Integration

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Complex Data Filtering

FAQs

Common Questions About Migration

Technical Freshsales has Account Hierarchies with parent/child relationships—how do we preserve these in Salesforce, which uses a different relationship model?
Freshsales stores account hierarchies as flat parent-child links using a single 'Parent Account' field, while Salesforce's account hierarchy is structurally identical but requires careful field mapping during migration. SuprSwitch's transformation layer automatically detects Freshsales parent-child relationships and maps them to Salesforce's native ParentId field, preserving the entire tree structure. However, if you've used custom junction objects or external systems to manage complex multi-level hierarchies beyond Freshsales' native capability, our proprietary engine includes a hierarchy flattening option that converts those into Salesforce record linkages. We validate all relationships post-migration to ensure no orphaned accounts or circular references exist.
Edge Case Freshsales uses Sales Signals and AI-powered engagement scoring—what happens to these during migration to Salesforce?
Freshsales' Sales Signals and engagement scoring are real-time algorithmic features generated by Freshsales' backend, not stored data fields—they cannot be directly migrated because Salesforce doesn't have an equivalent native feature. SuprSwitch captures the *output* of these signals (engagement scores, signal history, and activity recency data) and maps them to custom fields in Salesforce, but the live signal generation stops at cutover. To restore similar functionality, we recommend implementing Salesforce's Einstein Activity Capture or a third-party engagement scoring tool post-migration. During the transition period, we preserve all historical signal data as read-only reference fields so your team can understand the context of previously flagged accounts.
Timeline How long does a Freshsales-to-Salesforce migration take, and what's the typical sequence of events from kickoff to go-live?
A typical Freshsales to Salesforce migration follows a 6-8 week timeline depending on data volume and customization complexity. Week 1-2 involves schema discovery and field mapping; Week 3-4 covers data extraction and initial transformation testing in our proprietary engine; Week 5-6 includes full dry-run migrations and validation cycles where we verify record counts, field accuracy, and relationship integrity; Week 7 is cutover planning and final data sync; Week 8 is go-live and hypercare support. The actual data movement takes 2-12 hours depending on whether you have 100K or 5M records, and your team should plan for 24-48 hours of post-migration validation before declaring success. We recommend scheduling the cutover window during your business off-hours.
Edge Case We have multiple sales pipelines in Freshsales with overlapping deal stages—how do we handle this in Salesforce's single Opportunity stage picklist?
Freshsales allows multiple independent pipelines, each with its own custom deal stages (e.g., 'Enterprise Pipeline' vs 'SMB Pipeline'), while Salesforce uses a single global Opportunity stage picklist across all opportunities. SuprSwitch's native schema mapping preserves this by creating a custom 'Pipeline_Name__c' field on Salesforce Opportunities and consolidating all your Freshsales stages into a master stage list that includes pipeline context. For example, 'Freshsales Enterprise - Qualification' becomes 'Qualification (Enterprise)' in Salesforce with the pipeline metadata stored separately. If your pipelines have conflicting stage names, we use a collision-detection algorithm to rename them intelligently and document the mapping for your team. Stage history is preserved in Salesforce's Activity Timeline, so you don't lose audit trail data.
Data Integrity After migration, how do we verify that our contact-to-lead relationships and custom field data transferred correctly, and what happens if we find gaps?
SuprSwitch generates a comprehensive post-migration validation report within 24 hours that includes record counts by object type, field-level completeness percentages, relationship integrity checks (orphaned records, mismatched foreign keys), and sample data spot-checks across 5% of your migrated records. You'll receive a dashboard showing migration success metrics and any warnings flagged by our proprietary engine. If gaps are identified—such as 2% of contact-to-lead relationships failing to map, or custom fields appearing blank—we immediately re-run the affected data subset through our transformation layer and provide a detailed remediation plan with root cause analysis. In rare cases where data cannot be recovered (e.g., corrupted source fields), we work with you to decide whether to populate Salesforce with default values or leave those records for manual review. All validation findings are documented and archived for compliance purposes.

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