Pipedrive ✓ Salesforce Migration
Pipedrive
Salesforce

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.

100%
Mapping Accuracy
< 24 hrs
Migration Speed
Zero Loss
Data Integrity
"Will my Pipedrive custom fields and their data actually make it into Salesforce, or do I have to recreate everything manually?"
SuprSwitch's native schema mapping engine directly translates Pipedrive custom fields into Salesforce custom fields during extraction—preserving data types, field logic, and formatting rules. Our in-house transformation layer automatically maps Pipedrive's field architecture to Salesforce's object structure, so even complex fields like conditional custom fields carry over with their validation rules intact.
"I have years of activity history in Pipedrive—notes, calls, emails tied to deals and contacts. Does all that detail actually transfer to Salesforce Tasks and Events, or do I lose the context?"
Our proprietary transformation layer extracts Pipedrive's entire activity log (calls, emails, notes, modifications) and maps each activity type directly to Salesforce Tasks, Events, or Activity History records with full timestamp and relationship preservation. The engine maintains the original associations—linking activities back to their parent Deals, Persons, or Organizations—so your Salesforce timeline is complete and queryable from day one.
"Pipedrive's deal pipeline stages don't match Salesforce's StageName exactly, and I have multiple custom pipelines. How do you handle that without losing my pipeline logic?"
SuprSwitch's native schema mapping lets you define stage translation rules upfront—mapping each Pipedrive pipeline and its stages to your target Salesforce Opportunity StageName values. For deals in non-standard pipelines, our in-house engine creates a custom field to preserve the original pipeline ID, so you retain full auditability while Opportunities use your standard Salesforce stage taxonomy.
Why SuprSwitch

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.

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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.

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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.

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

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.

👤 Persons
All records
Persons
Salesforce Contacts
💡 Pipedrive Persons map directly to Salesforce Contacts. Email, phone, and custom fields are preserved; Pipedrive's owner assignment maps to Salesforce Contact Owner, and visibility/access settings are translated to Salesforce's sharing model.
🏢 Organizations
All records
Organizations
Salesforce Accounts
💡 Pipedrive Organizations become Salesforce Accounts. Address fields (street, city, postal code, country) are preserved as-is; custom organization fields and parent-child relationships are maintained through Salesforce's account hierarchy.
💼 Deals
All records
Deals
Salesforce Opportunities
💡 Pipedrive Deals map to Salesforce Opportunities with stage, probability, and expected close date preserved. Custom deal fields are converted to custom Opportunity fields; deal products link to Salesforce OpportunityLineItems with quantities and amounts.
📅 Activities
All records
Activities
Salesforce Tasks & Events
💡 Pipedrive Activities (calls, meetings, follow-ups) map to Salesforce Tasks (for to-do activities) and Events (for calendar-based activities). Due dates, activity types, and assigned user relationships are preserved; linked object references maintain the deal/person/organization context.
📝 Notes
All records
Notes
Salesforce Notes & Attachments
💡 Pipedrive Notes become Salesforce Notes or are embedded in record descriptions depending on length. Note timestamps, creators, and linked object references (deal, person, organization) are fully preserved to maintain audit trails.
📦 Products
All records
Products
Salesforce Products
💡 Pipedrive Products map to Salesforce Products with pricing, SKU, and custom product fields retained. Deal/Opportunity line items reference these Products; currency and unit pricing structures align between the platforms.
📸

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 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-Aware

Pipedrive 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 Integrity

Pipedrive'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 Integrity

Pipedrive 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 Loss

Pipedrive 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

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.

1
Schema Audit & Mapping
SuprSwitch audits Pipedrive's persons, organizations, deals, and custom fields. Create native schema mapping to Salesforce Accounts, Contacts, Opportunities, and Objects. Validate stage definitions and approval workflows.
Day 1
2
Primary Object Migration
Migrate Pipedrive organizations to Salesforce Accounts, persons to Contacts, and deals to Opportunities. Apply business rules for deal stage transformation and ownership mapping to Salesforce Users.
Day 1–2
3
Associations & Activity History
Establish Contact-to-Account and Contact-to-Opportunity relationships. Migrate Pipedrive activities, notes, and files to Salesforce Task, Event, and Note objects. Preserve deal stage history as Activity Timeline.
Day 2–3
4
Delta Sync & Go-Live
Capture Pipedrive changes made during migration window. Run final record count validation, field-level audits, and relationship integrity checks. Cutover to Salesforce with user training and go-live readiness.
Day 3
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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.

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

Edge Case How does SuprSwitch handle Pipedrive's Rotting Deals feature when migrating to Salesforce, since Salesforce doesn't have a built-in equivalent?
Pipedrive's Rotting Deals flag automatically marks deals inactive after a set period of no activity, a proactive housekeeping feature unique to Pipedrive. SuprSwitch's transformation layer converts this into Salesforce's native Opportunity Status field combined with a custom checkbox field that preserves the "rotting" classification. During migration, we analyze each deal's last activity timestamp and apply the appropriate status—either mapping to a custom "Inactive" picklist value or flagging it for review if it meets rotting criteria. This ensures your sales team can immediately identify stale opportunities without losing the business logic behind Pipedrive's automation, though you'll need to set up Salesforce Flow rules if you want Salesforce to actively enforce rotting behavior going forward.
Technical Pipedrive uses a text-based 'Deal Name' field that often contains deal status information, while Salesforce separates this into 'Opportunity Name' and 'StageName' fields. How do you prevent data loss during this mapping?
This is a critical field mapping challenge because Pipedrive's Deal Name is often denormalized—containing both the actual deal name and status context (e.g., "Acme Corp - Contract Review"). SuprSwitch's native schema mapping intelligently extracts the deal stage information from your Pipedrive Deal Stages and populates Salesforce's dedicated StageName field, while preserving the core deal identifier in the Opportunity Name field. If your Deal Names contain custom suffixes or status markers, we provide a pre-migration audit that identifies these patterns and offers three options: automated parsing rules, manual mapping per deal, or a hybrid approach. This preserves both fields accurately without concatenation, ensuring Salesforce's reporting and forecasting logic works correctly from day one.
Timeline What's the typical timeline for a Pipedrive to Salesforce migration, and what happens to my Pipedrive instance during the process?
A typical Pipedrive-to-Salesforce migration takes 2-4 weeks from kickoff to cutover, depending on data volume (organizations with 10,000+ deals add 1-2 weeks) and custom field complexity. The process follows three phases: Assessment (days 1-3, read-only analysis of your Pipedrive data structure), Sandbox Testing (days 4-10, full migration to your Salesforce sandbox with validation), and Production Migration (days 11-21, final cutover during your off-hours window). Your Pipedrive instance remains fully operational throughout—we never touch your live data until you approve the sandbox results. On cutover day, we perform a final delta sync to capture any new deals or activities created after the initial extraction, then switch over your team's access. You'll maintain read-only access to your historical Pipedrive data for 30 days post-migration for reference.
Edge Case We have 5 separate Pipedrive workspaces with overlapping customers. How does SuprSwitch consolidate these into a single Salesforce org without creating duplicate Accounts?
Multi-workspace Pipedrive scenarios are common and require sophisticated deduplication logic. SuprSwitch's proprietary engine analyzes all 5 workspaces simultaneously and applies multi-stage matching: first by Account email domain and phone number (exact match), then by fuzzy logic on company name variations (accounting for "Inc.", "LLC", "GMBH" differences), and finally by manual review buckets flagged by our team. Duplicate Accounts are consolidated into a single Salesforce Account record with merge rules that you control—you can choose which workspace's Account details take precedence, or we can combine them intelligently (e.g., using the most recent address). All related Opportunities, Contacts, and Activities from duplicate Accounts are automatically remapped to the consolidated parent Account. We provide a pre-migration deduplication report showing exactly which records will merge, so you can QA the logic before cutover.
Data Integrity How do you validate that all 150,000 activities from Pipedrive migrated correctly to Salesforce Tasks/Events, and what's your process if a discrepancy is found?
Data integrity validation is non-negotiable at this scale. SuprSwitch runs automated reconciliation checks at three stages: post-extraction (row counts by object type), post-transformation (field-level validation on 5% random sample), and post-load (byte-level hash comparisons on key records). For your 150,000 activities, we perform a detailed audit comparing Pipedrive activity counts grouped by type (call, email, meeting, note) against Salesforce Task/Event totals, ensuring nothing was dropped in conversion. If a discrepancy is found—say, 200 email activities didn't map—we identify the root cause (often custom field definitions or formatting issues) and provide two options: re-run the transformation with corrected logic, or manually remediate the 200 records post-migration. You receive a comprehensive post-migration report showing 100% record reconciliation, with any gaps documented and explained.

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