CRM migration

Migrate from Regal.io to Salesforce Sales Cloud

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

Regal.io logo

Regal.io

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

64%

9 of 14

objects map 1:1 between Regal.io and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Regal.io to Salesforce is an architectural shift from an event-driven contact model to a relational CRM object model. Regal defines a Contact as a reachable person with a phone number, and all profile updates and behavioral events flow through a single API endpoint. Salesforce separates unqualified prospects into Leads, qualified buyers into Contacts attached to Accounts, and behavioral events into Task and Event records that must be explicitly linked via WhoId and WhatId lookups. We resolve the event-to-Activity gap by extracting every Regal Event type, mapping each to a Salesforce custom field or Activity record, and preserving the event timestamp so the behavioral timeline survives the transfer. Call transcripts and recordings land as ContentDocument and Task records attached to the Contact; SMS threads become Task records. We do not migrate AI Agent scripts (non-exportable from Regal), Journeys (documented as conditional rules for manual rebuild), or branded caller ID (requires re-registration at the telephony provider).

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Regal.io objects map to Salesforce Sales Cloud

Each row shows how a Regal.io object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Regal Contacts with no Opportunity association and no sales-qualified event history map to Salesforce Lead. Contacts with an active Campaign membership, sales event history, or a mapped Opportunity in Regal's data export map to Salesforce Contact attached to an Account. We compute the split using Regal's contact_status, campaign_membership, and last_event_type properties during the transform phase. The original Regal contact ID is preserved in regalid__c on both Lead and Contact for cross-system audit.

Regal.io

Contact Attributes

maps to

Salesforce Sales Cloud

Standard and Custom Fields on Lead/Contact

1:1
Mapping required

Regal's custom contact profile fields (tenant-specific attributes beyond phone, email, and name) map to Salesforce standard fields if the field names align (Title, Department, Address) and to custom fields (AttributeName__c) for tenant-specific schema. We extract the full Regal attribute schema via the API before migration and pre-create the corresponding Salesforce custom fields in a Sandbox validation before production import.

Regal.io

Event

maps to

Salesforce Sales Cloud

Task or Custom Activity Fields

1:1
Fully supported

Regal Events (behavioral records with type, timestamp, and properties) have no direct Salesforce equivalent. We map each Event type to a Salesforce custom field on Contact (event_type__c, event_timestamp__c, event_properties__c as JSON) or to a Task record with TaskSubtype set to LoggedEvent and the WhoId pointing to the Contact. The mapping choice is made per event type during scoping: high-cardinality event types (opens, page views) become custom fields; meaningful interaction events (calls, meetings, stage changes) become Task records with subject and description preserved.

Regal.io

Campaign

maps to

Salesforce Sales Cloud

Campaign + CampaignMember

1:1
Fully supported

Regal Campaigns define outbound programs with list selection, cadence, and goal metrics. We map Campaign records to Salesforce Campaign, preserving campaign name, goal metrics, and list size. Campaign membership (which Contacts were in which Campaign) migrates as Salesforce CampaignMember records linked to the Campaign and the Contact. Cadence and list-refresh logic is platform-specific and documented for manual rebuild in Salesforce Campaigns or Sales Engagement.

Regal.io

Journey

maps to

Salesforce Sales Cloud

Written Conditional Rule Documentation

lossy
Fully supported

Regal Journeys are event-triggered workflows with conditional branching across voice, SMS, and email steps. We do not migrate Journeys as automation code. Instead, we produce a step-by-step conditional rule document for each active Journey: trigger event, step sequence, condition branches, and action types. This document is handed to the customer's admin or a Salesforce partner to rebuild in Flow or Salesforce Sales Engagement. The Journey handoff document is scoped separately and delivered before production cutover.

Regal.io

AI Agent

maps to

Salesforce Sales Cloud

Not Migratable

lossy
Fully supported

Regal AI Agent configurations (voice scripts, decision trees, persona settings, handoff logic) are tied to Regal's proprietary agent runtime and cannot be downloaded via API or UI. We explicitly exclude Agent logic from migration scope. We do migrate the Agent outcome data (conversation disposition, transfer reason, containment flag) as custom fields on Contact or Task so that the business context survives even if the agent logic must be rebuilt from scratch at the destination.

Regal.io

Call Recording

maps to

Salesforce Sales Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Call recordings in Regal's media storage are exported as audio files. We import them into Salesforce as ContentVersion records and link them to the Contact via ContentDocumentLink. File availability depends on Regal's retention settings at the time of export; we verify recording access during discovery and flag any gaps in the migration scope letter. Salesforce storage limits (5 GB per user on Professional) apply and are accounted for during capacity planning.

Regal.io

Call Transcript

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call) with custom transcript field

1:1
Fully supported

Call transcripts migrate as Salesforce Task records with TaskSubtype = Call, the original transcript body stored in a custom Long Text Area field (call_transcript__c), and call disposition stored in a custom picklist (call_disposition__c). Activity timeline ordering is preserved by setting ActivityDate to the original Regal event timestamp.

Regal.io

SMS Thread

maps to

Salesforce Sales Cloud

Task with custom thread body

1:1
Fully supported

SMS conversational history is extracted from Regal as thread-level data (direction, timestamp, message body). We migrate each SMS as a Task record with TaskSubtype = SMS, Subject = 'SMS: [Contact Name]', and the message body stored in a custom Long Text Area field (sms_body__c). Thread continuity in Salesforce is preserved by setting the RelatedToId (WhatId) to the Contact and ordering by ActivityDate.

Regal.io

Email Thread

maps to

Salesforce Sales Cloud

EmailMessage + Task

1:1
Fully supported

Email threads associated with Regal Contacts migrate to Salesforce EmailMessage records (the message content) linked to a Task record (the activity timeline entry). The WhoId on Task points to the migrated Lead or Contact; message direction (sent/received), timestamp, and subject line are preserved. Email attachments migrate as ContentDocument records linked to the EmailMessage.

Regal.io

Custom Objects

maps to

Salesforce Sales Cloud

Custom Objects (__c)

1:1
Fully supported

Regal Custom Objects (Growth and Enterprise tiers) store complex customer data outside the standard Contact attribute schema. We map each Regal Custom Object to a Salesforce custom object of the same API name (with __c suffix). Lookup relationships from Custom Objects to Contact are preserved as External ID fields in Salesforce. We pre-create the destination schema in a Sandbox before production migration, including all custom fields, picklist values, and validation rules.

Regal.io

Branded Caller ID (CNAM)

maps to

Salesforce Sales Cloud

Telephony Provider Documentation

lossy
Fully supported

Regal's branded caller ID (CNAM) configuration is tied to carrier registration and domain ownership records at Regal's telephony provider. We export the CNAM registration details, carrier agreements, and campaign-level caller ID assignments as a documented handoff for re-registration at the customer's new telephony provider. Salesforce does not natively manage CNAM; this is a telephony setup task outside Salesforce's CRM scope.

Regal.io

CDP/CRM Integration Endpoints

maps to

Salesforce Sales Cloud

Integration Documentation

lossy
Fully supported

Regal's live integrations with Segment, HubSpot, Braze, Iterable, and other platforms define which contacts are synced and how. We document every active Regal integration endpoint, sync direction, and field mapping as part of the migration scope letter. Post-migration, the customer re-establishes integrations pointing to Salesforce instead of Regal. We provide the integration configuration checklist but do not rebuild the integrations themselves.

Regal.io

Opportunity (Regal-synced)

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Regal's Salesforce sync creates Opportunities that reference Salesforce Opportunity IDs. If the migration source Regal instance had a bidirectional Salesforce sync active, those Opportunities may already exist in the destination Salesforce org. We deduplicate by Salesforce Opportunity ID where present, and import any Regal-originated Opportunity data that has no matching Salesforce record as a new Opportunity with the regal_opportunity_id__c external ID field for reconciliation.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • AI Agent scripts and decision trees are not exportable

    Regal's AI Agent runtime stores voice scripts, decision trees, persona configurations, and handoff logic in a proprietary format that cannot be retrieved via API or UI export. We explicitly exclude Agent logic from the migration scope and flag it for manual rebuild. We do migrate the Agent outcome data (conversation disposition, transfer reason, containment flag) as custom fields on Contact and Task so that business context is preserved. The customer must allocate time for their admin or a Salesforce implementation partner to redesign agent logic in Einstein Copilot, a third-party voice AI tool, or Flow-based routing before the voice channel goes live in Salesforce.

  • Regal Events have no native Salesforce equivalent

    Regal's behavioral Event stream (every contact interaction logged as an Event with type, timestamp, and properties) does not map directly to any Salesforce standard object. Salesforce stores activities as Task or Event records with explicit WhoId and WhatId references, not as freeform behavioral events attached to a Contact profile. We resolve this by mapping each Regal Event type to either a custom field on Contact (for high-cardinality event types like opens and page views) or to a Task record (for meaningful interactions like calls, meetings, and stage changes). The choice is made per event type during discovery and validated in Sandbox before production migration. Migrations that skip this design step end up with a Contact record in Salesforce that has no behavioral history.

  • Single Regal API endpoint requires careful throttling

    All Regal contact creation, updates, and event ingestion route through one endpoint at events.regalvoice.com/events with a 300 req/sec rate limit. We chunk our reads and writes to this endpoint, sequencing Contact creates before updates to prevent duplicates. If the source export contains high-velocity event bursts (common in Journey-heavy Regal instances), we batch and throttle to avoid HTTP 429 rejections that would stall the migration. We coordinate with the customer to schedule the export during a period of lower Journey activity to minimize data loss risk.

  • Contacts without phone numbers have no campaign eligibility

    Regal requires a phone number for a Contact to be reachable and Journey-eligible. Salesforce Lead and Contact do not require a phone number. During migration scoping, we validate the source Regal export for phone number presence and flag any Contact records missing this field. Those records migrate to Salesforce but will not trigger Flows or Sales Engagement cadences until a phone number is added. We present two options: create the records as Leads or Contacts with a missing-phone flag for the sales team to complete, or defer import until the data is enriched.

  • Regal Salesforce sync can create duplicate Opportunities

    Many Regal customers run the native Regal-Salesforce bidirectional sync, which creates Opportunity records in Salesforce referencing Salesforce Opportunity IDs. If both the live sync and our migration run simultaneously, the same Opportunity can be created twice. We coordinate with the customer to pause the Regal-Salesforce sync before production migration begins, validate which Opportunities already exist in the destination org, and use the regal_opportunity_id__c external ID field to deduplicate during import.

Migration approach

Six steps for a successful Regal.io to Salesforce Sales Cloud data migration

  1. Discovery and Regal API audit

    We audit the source Regal instance for Contact count, custom attribute schema, Event volume by type, active Journey count and complexity, Campaign membership data, Custom Object definitions and record counts, AI Agent configurations (documented for rebuild, not migrated), and call recording availability. We also confirm whether a live Regal-Salesforce sync is active and identify any Opportunities already in the destination org. The discovery output is a written migration scope letter, a data quality report (missing phone numbers, duplicate contacts, event cardinality by type), and a Salesforce edition recommendation.

  2. Event-to-Activity mapping design and Salesforce schema provisioning

    We design the destination schema in Salesforce Sandbox: custom fields on Contact and Lead for Regal event data (event_last_type__c, event_last_timestamp__c, event_json__c), Salesforce Tasks for meaningful interaction events, Record Types on Opportunity if the customer has multiple deal types, and any Custom Objects (__c) matching the Regal Custom Object schema. We design the Contact-to-Lead split rule using Regal's contact status and campaign membership properties. Schema is deployed via metadata API into the Sandbox for validation before any data moves.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer validates record counts (Contacts in, Leads in, Accounts in, Opportunities in, Tasks in), spot-checks 25-50 random records against the Regal source for field accuracy, and reviews the event-to-Activity mapping output. Any field mapping corrections, split rule adjustments, or event-type reclassification happen in Sandbox before production migration begins. The Sandbox sign-off is a required gate.

  4. Regal-Salesforce sync pause and production migration

    We coordinate with the customer to pause the live Regal-Salesforce bidirectional sync before production migration begins. We run production migration in dependency order: Salesforce Users (validated by email match), Accounts (from Regal data if any exist), Leads and Contacts (with the split rule applied and regalid__c preserved), Custom Objects (with lookup resolution to Contact), Opportunities (with deduplication against any sync-created records), Event data (as custom fields and Task records per the mapping design), SMS and email threads (as Task records), and call transcripts (as Task records). We use the Salesforce Bulk API 2.0 with batch chunking and exponential backoff for all large record sets.

  5. Cutover, delta sync, and Journey rebuild handoff

    We freeze writes in Regal during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the CRM of record. We deliver the Journey conditional rule documentation (one document per active Journey) and the AI Agent outcome field mapping to the customer's admin team. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Regal Journeys as Salesforce Flow or AI Agent logic inside the migration scope; that work is handled by the customer's admin or a Salesforce implementation partner.

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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Most migrations land between three and five weeks for accounts under 50,000 Contacts with no custom objects and no large event history. Migrations with large event streams (over 250,000 Event records), multiple Custom Objects, active Regal Journeys requiring conditional-rule documentation, or deduplication of a live Salesforce sync land in eight to fourteen weeks because of the event-to-Activity transformation design, Bulk API chunking, and Sandbox validation gating.

Adjacent paths

Related migrations to explore

Ready when you are

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