CRM migration
Field-level mapping, validation, and rollback between Regal.io and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Regal.io
Source
Nutshell
Destination
Compatibility
6 of 8
objects map 1:1 between Regal.io and Nutshell.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Regal.io to Nutshell is a directional shift from a voice AI agent platform built around event-driven contact journeys to a conventional sales CRM organized around People, Companies, Leads, and Deals. Regal's core data model — a Contact plus behavioral Events plus a phone-number contactability requirement — maps directly to Nutshell's People and Companies, but the behavioral event history requires triage: call transcripts and conversational SMS threads re-attach as Notes or Activity records, while the event stream that drives Regal's AI Agent triggers has no Nutshell equivalent and must be preserved as structured notes or set aside for a separate analytics platform. Custom Objects defined in Regal Settings > Data Management > Objects migrate as Nutshell custom fields on People, Companies, or Leads, but Regal's object-relationship links (co-borrowers sharing a mortgage, multiple contacts sharing an appointment) cannot reconstruct in Nutshell without a custom junction object workaround. AI Agent configurations, Journey logic, and branded caller ID registration are non-exportable from Regal and are explicitly excluded from migration scope; we deliver a written inventory for the customer's admin to rebuild.
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 Nutshell, 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
Nutshell
Person
1:1Regal Contacts map directly to Nutshell People. The mapping preserves firstName, lastName, phone, email, and all standard contact attributes. We extract the full Regal contact attribute schema during discovery and map each custom trait to a corresponding Nutshell custom field on the Person record. Note that Regal requires a phone number for a Contact to be reachable via campaigns and Journeys; Nutshell People records do not enforce this. We flag any Contacts in the source export that lack a phone number so the customer can decide whether to import them as non-contactable People records or exclude them from the initial load.
Regal.io
Contact
Nutshell
Lead
1:manyIf the customer maintains Regal Campaign membership for prospects who have not yet been converted to marketing-qualified contacts, we offer a parallel Lead import. Campaign membership status and goal metrics from Regal become custom fields on the Nutshell Lead (e.g., campaign_name__c, campaign_goal__c). The split decision is made during scoping based on whether the customer wants to preserve a prospect pipeline in Nutshell separate from the contactable People records.
Regal.io
Company
Nutshell
Company
1:1Regal Company records — typically synced from the customer's CRM or CDP via Regal's Segment, HubSpot, or Salesforce integration — map to Nutshell Company. The company name, domain, and address fields migrate directly. We resolve the Company-to-Person link using the email domain as the dedupe key during import, ensuring each Person record attaches to the correct Company.
Regal.io
Custom Object (Regal Settings > Data Management > Objects)
Nutshell
Custom Field on Person, Company, or Lead
lossyRegal Custom Objects are defined by choosing one or more Custom Events as the source, with a unique identifier property. When migrating, we extract the full object schema — object name, event sources, identifier key, and property list — and map each property to a typed Nutshell custom field (Text, Long Text, Currency, or Date) on the entity the customer selects during scoping. Note that Regal's multi-contact-to-single-object relationship (e.g., co-borrowers sharing a mortgage) cannot reconstruct natively in Nutshell; we flag this as a manual consolidation step for the customer admin.
Regal.io
Campaign
Nutshell
Lead (with campaign metadata as custom fields)
1:1Regal Campaigns define outbound programs including list selection, cadence, and goal. We extract campaign membership and goal metrics (campaign name, status, assigned agent, goal type, and goal value) and attach them as custom fields on the Nutshell Lead or Person record. Cadence logic and list-refresh scheduling are platform-specific to Regal and do not transfer; we document these for manual rebuild in Nutshell Automations or as a spreadsheet for the sales ops team.
Regal.io
Event (call transcript)
Nutshell
Note on Person
1:1Regal call transcripts and outcome data migrate as Nutshell Notes attached to the corresponding Person record. The Note body contains the transcript text and disposition outcome. Audio recording files migrate as file attachments to the Note; audio availability is subject to Regal's retention settings at the time of export. Call duration and timestamp migrate to the Note's description field and to a custom field for reporting.
Regal.io
Event (SMS and email thread)
Nutshell
Note on Person
1:1Regal conversational history for SMS and email threads re-associates with the migrated Nutshell Person record as Notes. Thread continuity in Nutshell is linear — there is no threaded inbox view equivalent to Regal's conversation model — so we append thread entries chronologically within a single Note per thread. The customer should be aware that thread context is preserved as text but the conversation experience in Nutshell differs from Regal's real-time messaging UI.
Regal.io
Branded Caller ID (CNAM registration)
Nutshell
No equivalent
1:1Regal's branded caller ID configuration (CNAM display name and carrier registration details) is telephony infrastructure that has no Nutshell equivalent, as Nutshell does not provide native outbound calling. We export the carrier registration details and domain ownership records as a configuration document so the customer can re-register with their carrier or CNAM provider independently. This item does not involve data migration but is flagged as a required manual step for teams relying on branded caller ID for answer rates.
| Regal.io | Nutshell | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Contact | Lead1:many | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Custom Object (Regal Settings > Data Management > Objects) | Custom Field on Person, Company, or Leadlossy | Fully supported | |
| Campaign | Lead (with campaign metadata as custom fields)1:1 | Fully supported | |
| Event (call transcript) | Note on Person1:1 | Fully supported | |
| Event (SMS and email thread) | Note on Person1:1 | Fully supported | |
| Branded Caller ID (CNAM registration) | No equivalent1:1 | 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
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Discovery and schema extraction
We audit the Regal.io account across Custom Object schemas (Settings > Data Management > Objects), active Campaigns, AI Agent configurations, and event type inventory. We extract the full contact attribute schema via Regal's API to build the field-level mapping to Nutshell custom fields. We also audit the Regal-to-CDP/CRM integration endpoints (Segment, HubSpot, Salesforce) to identify which systems are feeding contacts and whether those integrations will be superseded by the Nutshell migration. The discovery output is a written migration scope, a Custom Object-to-Nutshell-field mapping matrix, and a list of AI Agent and Journey items requiring manual rebuild.
Phone number triage and contact quality audit
We run a phone number presence audit across all Regal Contacts. Any Contact record without a phone number is flagged for customer decision: import without phone (email-only), suppress, or manual enrichment. We also validate phone number formats (E.164 standard) before mapping to Nutshell, which accepts phone in free-form text. This step prevents non-contactable records from entering Nutshell as clean CRM data and avoids downstream list hygiene issues.
Nutshell sandbox schema setup
We create the destination schema in a Nutshell sandbox environment. This includes provisioning all required custom fields on Person, Company, and Lead objects using the Regal attribute schema as the source of truth, matching field types (Text, Long Text, Currency, Date) to Nutshell's supported custom field types. We configure the Custom Object mapping matrix, set up the Campaign-to-Lead field assignments, and define the Note structure for call transcripts and conversational history. Schema is validated in sandbox before any production data is touched.
Dependency-ordered data load
We run the production migration in dependency order: Companies first (from Regal Company records), then Persons (from Regal Contacts, with phone triage applied and Company link resolved by email domain), then Leads (for any Campaign-sourced prospect records), then Deals if applicable, then Notes (call transcripts and SMS/email threads as attachments to Person records), then Activity history. Each phase emits a row-count reconciliation report showing records attempted, records loaded, and records skipped with reason codes before the next phase begins.
AI Agent and Journey rebuild handoff
We deliver a written inventory document listing every active Regal AI Agent, Journey, and Campaign cadence with step-by-step conditional rules documented in plain language. This document is the reference the customer's admin uses to rebuild communication logic in Nutshell Automations (triggered on deal stage changes) or a third-party sales engagement tool. We do not rebuild automations as part of the migration scope. We also deliver the CNAM configuration export for the customer's carrier re-registration.
Cutover and post-migration validation
We freeze Regal writes during the cutover window, run a final delta migration of any records modified during the migration run, then enable Nutshell as the system of record. We perform a spot-check reconciliation of 25-50 random Person records against the Regal source, validate Company links and Lead assignments, and confirm Notes and Activity records are attached to the correct parent records. We support a five-business-day hypercare window for reconciliation issues. Post-migration admin support, training, and workflow rebuild are outside standard scope and are available as separate engagements.
Platform deep dives
Regal.io
Source
Strengths
Weaknesses
Nutshell
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Nutshell.
Object compatibility
1 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
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