CRM migration

Migrate from Regal.io to Pipedrive

Field-level mapping, validation, and rollback between Regal.io and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

Regal.io logo

Regal.io

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

67%

8 of 12

objects map 1:1 between Regal.io and Pipedrive.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Regal.io logo

Regal.io

What's pushing teams away

  • Pricing opacity frustrates teams during renewal negotiations — Regal does not publish public pricing tiers, and quotes vary significantly based on call volume commitments.
  • Teams requiring deep telephony analytics report that Regal's reporting dashboard lacks the drill-down granularity needed for per-agent or per-campaign revenue attribution.
  • Scaling to multi-region inbound operations exposes limitations in Regal's agent desktop compared to full CCaaS platforms that offer broader workforce management features.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Regal.io objects map to Pipedrive

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

maps to

Pipedrive

Person (People) or Lead

1:many
Fully supported

Regal 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

maps to

Pipedrive

Custom Fields on Person (People)

1:1
Mapping required

Regal'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

maps to

Pipedrive

Activity (call, email, meeting, task)

1:1
Fully supported

Regal 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

maps to

Pipedrive

Lead (unqualified) or Person (qualified)

lossy
Fully supported

Regal 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

maps to

Pipedrive

Not migratable

1:1
Not supported

Regal 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

maps to

Pipedrive

Activity (call) with Attachment or Note

1:1
Mapping required

Regal 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

maps to

Pipedrive

Activity (call, email, or task)

1:1
Mapping required

Regal 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

maps to

Pipedrive

Not migratable — documented for rebuild

1:1
Fully supported

Regal 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

maps to

Pipedrive

Custom Objects (Advanced tier and above)

1:1
Fully supported

Regal 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)

maps to

Pipedrive

Not migratable — reconnection required

lossy
Mapping required

Regal'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

maps to

Pipedrive

Not migratable — re-registration required

lossy
Mapping required

Regal 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

maps to

Pipedrive

Custom Field on Person

1:1
Fully supported

If 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.

Gotchas + challenges

What specifically takes care here

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 logo

Regal.io gotchas

High

Regal API is a single-events endpoint

High

AI Agent scripts and decision trees are non-exportable

Medium

No public pricing or documented tier limits

Medium

Contact contactability status is phone-number-dependent

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Regal's event-driven model has no native Pipedrive equivalent

    Regal.io structures its entire data model around Events: every interaction — call, SMS, email, web behavior, Journey step — is an Event record attached to a Contact. Pipedrive is a traditional CRM where engagement data lives in Activity records (calls, emails, meetings, tasks) linked to People. This architectural gap means there is no direct Pipedrive object for Regal's behavioral event streams. We preserve event timestamps on Activity records and document the Journey trigger conditions as written step-by-step rules, but the event-driven behavioral pipeline that powers Regal's AI Agents cannot be migrated as data or logic. Any business process relying on Regal's event-driven routing or scoring must be manually rebuilt in Pipedrive's Workflow Automation layer post-migration.

  • Contact phone-number requirement creates a Contact-to-Lead split

    Regal.io requires a phone number on every Contact record — without one, a Contact is non-contactable and ineligible for Journey enrollment. Pipedrive does not require a phone number on People records. When migrating, Contacts without a phone number cannot be created as People (since they would have been ineligible for any Journey in Regal anyway) and must be handled as Pipedrive Leads or flagged records. We validate phone number presence during the pre-migration data audit, report the count of phone-number-missing Contacts, and apply the appropriate destination record type during migration. Any business logic in Regal that relied on non-contactable records needs to be flagged and reconsidered in Pipedrive.

  • Call transcripts and recordings depend on Regal's retention settings

    Regal stores call transcripts and audio recordings in its own media storage with retention governed by Regal's internal policy rather than customer-configurable settings. We export available transcripts as structured text during migration, but audio file availability depends on Regal's retention status at the time of export. If Regal's retention window has passed, audio files may not be accessible. We confirm file availability during the pre-migration data audit and flag any gaps in the migration report. Transcripts migrate as notes on the corresponding Activity record in Pipedrive; audio files migrate as attachments where file format and size are compatible with Pipedrive's storage constraints.

  • AI Agent scripts and decision trees are non-exportable

    Regal's AI Agent configurations — voice scripts, decision trees, persona settings, and handoff logic — live in Regal's proprietary agent runtime and cannot be downloaded via API or UI. We explicitly exclude Agent logic from migration scope and flag it for manual rebuild. We do migrate conversation outcome data and Journey trigger conditions as Activity notes and custom field values so the business context is preserved even if the agent logic must be recreated. The customer receives a written inventory of all AI Agent configurations including trigger conditions, script logic, and handoff rules as a reference document for rebuild in the destination platform.

  • Migration requires a write-freeze window to capture a clean delta

    Regal.io does not offer real-time bidirectional sync with Pipedrive. Any Contacts, Events, or SMS created in Regal after the initial export snapshot will be missing from the migration unless a write-freeze is applied during the delta sync window. We document the final export timestamp and recommend that the customer freeze writes in Regal for a short window (typically 24-48 hours) during the cutover delta migration. Any data added during this window that is not captured in the delta sync is permanently excluded from the migration and is flagged in the post-migration reconciliation report.

Migration approach

Six steps for a successful Regal.io to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Regal.io logo

Regal.io

Source

Strengths

  • Event-based contact model with 300 req/sec API throughput for real-time, high-volume data streaming.
  • Native AI Agent runtime with smooth handoff to human agents, eliminating power-dialer spam issues.
  • CDP-native integrations with Segment, HubSpot, Salesforce, Braze, and Iterable for same-day onboarding.
  • Journey builder with no-code AI tools for marketers to design event-triggered voice, SMS, and email workflows.
  • 97% containment rate and 80% cost-to-serve reduction cited in enterprise case studies.

Weaknesses

  • No public pricing tiers — requires sales consultation and volume commitments for quotes.
  • AI Agent configurations and scripts are not exportable, requiring full rebuild at destination.
  • Full CCaaS feature set (WFM, multi-region inbound queuing) is narrower than platforms like RingCentral.
  • Call recording and transcript retention is governed by Regal's internal policy, not customer-configurable.
  • Rate limits are generous but undocumented for burst scenarios beyond 300 req/sec.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Regal.io and Pipedrive.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Regal.io: 300 requests per second.

  • Data volume sensitivity

    B

    Regal.io doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Regal.io to Pipedrive migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Regal.io to Pipedrive data migrations

Answers to the questions buyers ask most during Regal.io to Pipedrive migration scoping. Not seeing yours? Book a call.

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Standard migrations with under 10,000 Contacts, 2,000 Deals, and no Custom Objects land in two to four weeks. Migrations with multiple Pipelines, large event histories (over 200,000 Activity records), extensive data quality remediation, or Custom Objects in scope move to six to ten weeks. Pipedrive's own Import2 tool supports up to 100,000 records and works for straightforward imports, but API-based migrations with complex dependency resolution, custom object lookups, and engagement history preservation require a structured approach with discovery, sandbox testing, and phased production migration.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Regal.io.
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