Move Pipedrive Deals to Salesforce Opportunities instantly
Pipedrive's limited reporting and custom field scaling force growing teams to outgrow it quickly. SuprSwitch uses our proprietary transformation layer to map your entire Pipedrive pipeline—Deals, Contacts, Activities, and custom fields—into Salesforce's native schema in hours, preserving data fidelity while eliminating manual re-entry.
Why Sales Teams Choose SuprSwitch Over a DIY Pipedrive CSV Export
Pipedrive's native CSV export flattens your deal-person relationships into a single row per record, strips custom field types to generic text, and abandons your entire activity timeline. SuprSwitch's in-house transformation layer preserves relational integrity between Deals and Persons, maps Pipedrive's custom fields to proper Salesforce field types, and reconstructs your activity history with complete referential mapping—ensuring nothing is lost in translation.
Deal-Person Relationships Preserved
Pipedrive's CSV export creates one row per Deal, destroying the many-to-many relationship between Deals and Persons (your participants/stakeholders). SuprSwitch's structured data extraction layer reads Pipedrive's native relationship tables and maps each Deal-Person association directly into Salesforce's AccountContactRelation objects and OpportunityContactRole records. Your sales team retains every stakeholder connection without manual stitching or data loss.
Custom Fields Map to Real Salesforce Types
Pipedrive treats all custom fields as generic text in its CSV output, losing critical type information—dropdown selections become plain text, number fields lose formatting, and date pickers flatten to strings. SuprSwitch's native schema mapping layer reads Pipedrive's field definitions directly, detecting field types (picklist, currency, date, boolean) and creating corresponding Salesforce custom fields with the correct data type, validation rules, and picklist values. Your data lands semantically correct, not as orphaned text.
Activity Timeline Reconstructed End-to-End
Pipedrive's CSV export includes only current record snapshots—all historical activities (calls, emails, notes, meetings) are left behind. SuprSwitch's in-house engine extracts your complete activity ledger from Pipedrive, mapping Activity records into Salesforce Task and Event objects with full context: linked Deal, linked Person, timestamp, activity type, and all notes. Your sales reps see the full customer conversation history immediately upon login.
Pipeline & Deal Owner Mapping Automatic
Pipedrive's export requires you to manually match your pipeline stages to Salesforce stages and reconcile Pipedrive Persons (owners) against Salesforce Users—a tedious, error-prone process prone to orphaned records. SuprSwitch's transformation layer automatically maps your Pipedrive pipeline structure to Salesforce Opportunity stages, reconciles Pipedrive deal owners to Salesforce User accounts by email, and handles edge cases where owners have left the organization. No spreadsheet wrangling required.
Every Pipedrive Object, Accounted For
Pipedrive's core data model includes Persons, Organizations, Deals, Activities, Notes, and Products. SuprSwitch migrates all of these objects with full field fidelity, preserving your complete sales workflow and historical data in Salesforce.
Built for Pipedrive's Sales-First Data Architecture
Pipedrive uses a denormalized, activity-centric object model where Companies, Persons, Deals, and Activities form a complex web of many-to-many relationships tied together through numeric IDs and custom field metadata stored in a flexible schema. SuprSwitch's proprietary extraction engine reads Pipedrive's native data structures directly—including pipeline stages, probability fields, and activity time sequences—then reconstructs them through our transformation layer to fit Salesforce's normalized object model, preserving field types, associations, and business logic without lossy conversion.
Native Pipeline & Field Extraction
Pipeline-AwarePipedrive stores deals across multiple pipelines, each with custom stages and field visibility rules. Our extraction engine ingests the entire pipeline structure—stage IDs, probabilities, weighted values, and conditional custom fields—without relying on bulk export. We map Pipedrive's stage names and numeric deal_status IDs directly to Salesforce StageName picklists, preserving deal velocity data and custom field dependencies that stage-switching might alter. Field types like text, numeric, monetary, and date are extracted with full precision.
Activity Timeline Reconstruction
Temporal IntegrityPipedrive's Activities table logs every interaction (calls, emails, meetings) with precise timestamps and links to multiple parent objects (Deals, Persons, Companies). Our transformation layer rebuilds these associations in Salesforce's Task/Event model, maintaining the original activity sequence and owner assignments. We preserve activity duration, type classification, and custom activity fields that Pipedrive stores separately, ensuring your sales team's complete interaction history appears in Salesforce without gaps or duplicates.
Multi-Parent Association Rebuild
Referential IntegrityPipedrive allows Persons to link to multiple Companies and Deals to multiple Persons—a many-to-many pattern that Salesforce's standard model doesn't natively support in the same way. Our schema mapper detects these complex associations through Pipedrive's junction tables and ID chains, then rebuilds them as Salesforce Account/Contact hierarchies with proper lookup relationships. We maintain data integrity by ensuring no orphaned records and generating audit trails for all association transformations during cutover.
Custom Field Type Preservation
Zero Field LossPipedrive stores custom fields as dynamic metadata attached to standard objects, with types including dropdown (linked to custom pipelines), user assignment, monetary with currency, and formula-like calculated fields. Our native schema mapping reads Pipedrive's custom_fields table, detects field types and validation rules, then creates exact equivalents in Salesforce as custom fields with matching picklist values, required/read-only settings, and field-level security. No CSV round-trip means no type inference errors or data corruption.
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: Pipedrive → Salesforce
SuprSwitch's migration engine performs a comprehensive audit of Pipedrive's hierarchical deal pipeline structure, custom fields, and user-defined stages, then maps them natively to Salesforce's opportunity, account, and contact objects with full preservation of deal velocity and stage history.
SuprSwitch's proprietary extraction engine reads Pipedrive's native database in parallel, capturing persons, organizations, deals, custom fields, and activity records without dependencies on external connectors. Full data lineage and field-level transformations are tracked within our transformation layer.
Batch processing loads transformed records into Salesforce via direct data pipeline with intelligent deduplication and conflict resolution. Contact and Account matching is performed before Opportunity creation to ensure referential integrity and prevent orphaned records.
Post-migration validation compares Pipedrive source record counts against Salesforce totals, field-by-field data completeness, relationship accuracy, and deal stage history preservation. Automated audit reports flag discrepancies before user sign-off.
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.
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.