CRM migration
Field-level mapping, validation, and rollback between Regal.io and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Regal.io
Source
Pipedrive
Destination
Compatibility
8 of 12
objects map 1:1 between Regal.io and Pipedrive.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Regal.io to Pipedrive is a platform consolidation from an event-driven voice AI agent model into a traditional sales CRM. Regal defines a Contact as anyone with a phone number reachable by voice, SMS, or email, with behavioral Events powering the Journeys that trigger real-time outreach. Pipedrive uses People, Organizations, Deals, and Activities as its core objects. We extract all three layers from Regal — Contact records, Contact Attributes, and Event history — and map them to Pipedrive's equivalent schema. The structural gap is that Regal's event-driven behavioral data has no native Pipedrive equivalent; we preserve event timestamps on Activity records and document the Journey trigger conditions as step-by-step rules for manual rebuild. AI Agent configurations, Journey logic, and branded caller ID settings are non-exportable from Regal and are explicitly excluded from migration scope with a written inventory delivered for your admin to recreate.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Regal.io object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Regal.io
Contact
Pipedrive
Person (People) or Lead
1:manyRegal Contacts with a phone number and a qualified engagement history map to Pipedrive Person (People). Contacts without a phone number — which were non-contactable in Regal and ineligible for Journey enrollment — map to Pipedrive Lead as inactive records with a migration flag noting their original Regal status. We run this split at migration time using the phone number presence check from the source export, preserving all standard Contact fields (name, email, phone, address) and any Regal-specific identifiers as a custom field regal_contact_id__c on the destination record.
Regal.io
Contact Attributes
Pipedrive
Custom Fields on Person (People)
1:1Regal's tenant-specific custom profile fields stored on Contacts map to Pipedrive custom fields on the Person object. We extract the full attribute schema from Regal's API before migration, map each attribute to an equivalent Pipedrive custom field (with appropriate type: text, number, date, picklist), and provision the destination fields before the Person import begins. Custom field naming follows Pipedrive conventions and preserves the original Regal attribute label in a field description for admin clarity.
Regal.io
Event
Pipedrive
Activity (call, email, meeting, task)
1:1Regal Events — call dispositions, SMS messages, email opens, Journey step completions, and custom behavioral events — map to Pipedrive Activity records with the event type preserved as an Activity subject prefix (e.g., '[Journey Step] Application Started') and the original event timestamp as the Activity date. This preserves the chronological sequence of the contact's behavioral history in the Pipedrive Activity timeline. Event properties that are not native Activity fields migrate as notes on the Activity record.
Regal.io
Campaign
Pipedrive
Lead (unqualified) or Person (qualified)
lossyRegal Campaigns define outbound programs with list selection, cadence, and goal metrics. Campaign membership maps to Pipedrive Lead for contacts that are pre-qualified in Regal's model, and to Pipedrive Person for contacts that already have a deal association. We preserve Campaign name, goal metrics, and list membership in a custom field campaign_name__c on the destination record. Cadence and list-refresh logic is platform-specific and requires manual rebuild in Pipedrive's Workflow Automation or LeadBooster.
Regal.io
AI Agents
Pipedrive
Not migratable
1:1Regal AI Agent configurations — voice scripts, decision trees, persona settings, and handoff logic — are tied to Regal's proprietary agent runtime and cannot be downloaded via API or UI. Agent logic is explicitly excluded from migration scope. We deliver a written inventory of all AI Agent configurations including trigger conditions, script logic, and handoff rules as a reference document for manual rebuild in the destination telephony or CRM platform. Conversation outcome data and Journey trigger conditions migrate as Activity notes and custom field values so business context is preserved.
Regal.io
Call Transcripts and Recordings
Pipedrive
Activity (call) with Attachment or Note
1:1Regal call transcripts migrate as notes on Pipedrive Activity records of type 'Call'. Audio recording files migrate as attachments to the corresponding Activity where file format and size are compatible with Pipedrive's storage limits. Availability of audio files depends on Regal's retention policy and export accessibility at migration time; we confirm file availability during the pre-migration data audit. If recording files are not accessible, the transcript text is migrated as a note and the recording gap is flagged in the migration report.
Regal.io
SMS and Email Threads
Pipedrive
Activity (call, email, or task)
1:1Regal SMS and email conversational history associated with Contact records migrates to Pipedrive Activity records linked to the corresponding Person. SMS messages map to Activity with type 'Call' and a note prefix '[SMS]', emails map to Activity with type 'Email'. Thread continuity in Pipedrive depends on the activity being linked to the correct Person record by email address match, which we resolve at migration time using the Regal Contact's primary email address.
Regal.io
Journey
Pipedrive
Not migratable — documented for rebuild
1:1Regal Journeys are conditional, event-triggered sequences of voice, SMS, and email steps built in Regal's no-code Journey builder. Journeys cannot be exported as automation logic. We document Journey trigger conditions, step-by-step conditional rules, and channel sequence logic as a written step-by-step reference document for the customer's admin to reconstruct in Pipedrive's Workflow Automation or LeadBooster. Campaign membership and goal metrics migrate as custom fields on Person and Lead records.
Regal.io
Custom Objects
Pipedrive
Custom Objects (Advanced tier and above)
1:1Regal Custom Objects — defined via Settings > Data Management > Objects with custom events as the data source — map to Pipedrive custom objects of equivalent API name if the destination Pipedrive account is on Advanced tier ($29/user/mo) or above. Custom Objects are not available on Essential ($12) or Power ($29) tiers. We pre-create the destination schema including all custom fields and lookup relationships before any data import. If the destination account is on a lower tier, Custom Object records migrate as notes on the linked Person record with a flag for future schema migration when the account upgrades.
Regal.io
Integrations (CDP/CRM connections)
Pipedrive
Not migratable — reconnection required
lossyRegal's live integrations with Segment, HubSpot, Salesforce, Braze, and Iterable define which contacts are synced and how. We document the active integration endpoints, webhook URLs, API keys, and sync configuration during discovery. Reconnection to these platforms from Pipedrive is a post-migration configuration task performed by the customer's technical team or integration partner. We provide a written integration map listing each active Regal integration and its recommended Pipedrive equivalent (native integration, Zapier, Make, or custom API connection).
Regal.io
Branded Caller ID
Pipedrive
Not migratable — re-registration required
lossyRegal supports branded caller ID (CNAM) configuration per campaign with carrier registration details and domain ownership records. These settings are tied to Regal's telephony infrastructure and cannot be exported. We export the carrier registration details, CNAM submission records, and domain ownership documentation as a reference file for the customer's admin to re-register with the destination telephony provider. The re-registration process is typically handled by the new telephony or SIP provider post-migration.
Regal.io
Contact Behavior Score
Pipedrive
Custom Field on Person
1:1If the source Regal account uses a behavioral scoring model — where Journey interactions, event completions, and engagement frequency contribute to a contact score — that value migrates as a numeric custom field contact_score__c on the Pipedrive Person. The scoring algorithm itself (the weighting rules) is a Regal configuration that does not migrate; we document the raw score values as a data asset the customer's team can use to re-establish scoring logic in Pipedrive's automation layer or a connected enrichment tool.
| Regal.io | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person (People) or Lead1:many | Fully supported | |
| Contact Attributes | Custom Fields on Person (People)1:1 | Mapping required | |
| Event | Activity (call, email, meeting, task)1:1 | Fully supported | |
| Campaign | Lead (unqualified) or Person (qualified)lossy | Fully supported | |
| AI Agents | Not migratable1:1 | Not supported | |
| Call Transcripts and Recordings | Activity (call) with Attachment or Note1:1 | Mapping required | |
| SMS and Email Threads | Activity (call, email, or task)1:1 | Mapping required | |
| Journey | Not migratable — documented for rebuild1:1 | Fully supported | |
| Custom Objects | Custom Objects (Advanced tier and above)1:1 | Fully supported | |
| Integrations (CDP/CRM connections) | Not migratable — reconnection requiredlossy | Mapping required | |
| Branded Caller ID | Not migratable — re-registration requiredlossy | Mapping required | |
| Contact Behavior Score | Custom Field on Person1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Regal.io gotchas
Regal API is a single-events endpoint
AI Agent scripts and decision trees are non-exportable
No public pricing or documented tier limits
Contact contactability status is phone-number-dependent
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and scope audit
We audit the source Regal.io account across Contacts, Contact Attributes, Event history, Campaigns, AI Agent configurations, Custom Objects, and active integrations (Segment, HubSpot, Salesforce, Braze, Iterable, and others). We extract the full attribute schema, event type inventory, and Journey list. We assess the destination Pipedrive account's tier (Essential, Power, Professional, Advanced) to confirm Custom Object availability. The discovery output is a written migration scope document with record counts per object type, a complexity rating, and a tier recommendation if the destination account needs to be upgraded to support the migration's custom object requirements.
Schema design and Pipedrive provisioning
We design the destination Pipedrive schema to receive Regal data. This includes provisioning custom fields on Person (People) to match Regal's Contact Attributes, setting up Pipedrive Activities with the correct type and subject prefixes for each Regal Event type, configuring Pipedrive Leads for unqualified contacts without phone numbers, and designing the Deal pipeline with stages mapped from Regal Campaign goal metrics. If Custom Objects are in scope and the destination is on Advanced tier or above, we pre-create the custom object schema with all fields and lookup relationships. Schema is validated in Pipedrive before any data import begins.
Data preparation and validation
We run data quality checks on the Regal export before migration. This includes validating that every Contact has a phone number (flagging those that do not for Lead routing), deduplicating Contacts by email address and phone number, resolving Campaign membership for each Contact, and extracting the full event history with timestamps. Any Contacts without a phone number are flagged with their original Regal contactability status so the customer can decide whether to include them as inactive Leads in Pipedrive.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive sandbox (or a test account on the same tier) using production-like data volume. We reconcile record counts in Pipedrive against the source Regal export: Person count vs Contact count, Activity count vs Event count, and Deal count vs Campaign goal record count. We spot-check 25-50 records for field-level accuracy and verify that Deal pipeline stages are correctly mapped. The customer's RevOps lead reviews and signs off the sandbox migration before production migration begins.
Production migration in dependency order
We run production migration in dependency order. Organizations (from Regal Company associations, if present) load first. People (from Regal Contacts with phone numbers) load second with OrganizationId resolved by domain match. Leads (from Regal Contacts without phone numbers) load third. Deals load fourth with PersonId and OrganizationId resolved. Activities load fifth via Pipedrive's REST API with rate-limit handling, exponential backoff, and batch chunking. Call transcripts, recordings, SMS threads, and email threads load as Activity notes and attachments. Custom Objects load last where applicable, after the Person and Organization lookups are confirmed. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and handoff documentation
We freeze writes to Regal.io during the cutover delta migration, run a final delta pass for any records created during the migration window, and validate the complete Pipedrive dataset with spot-checks and record-count reconciliation. We deliver a written inventory of all Journeys, Campaigns, AI Agent configurations, and active integrations that require rebuild or reconnection in Pipedrive. We support a one-week post-migration validation window to resolve reconciliation issues raised by the customer's team. We do not rebuild Regal Journeys, Campaigns, or AI Agents as Pipedrive automations inside the migration scope; that work is a separate engagement or an internal admin task.
Platform deep dives
Regal.io
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Regal.io and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Regal.io: 300 requests per second.
Data volume sensitivity
Regal.io doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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