CRM migration

Migrate from Regal.io to Nutshell

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

Regal.io logo

Regal.io

Source

Nutshell

Destination

Nutshell logo

Compatibility

75%

6 of 8

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

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Nutshell logo

Nutshell

What's pulling them in

  • Lowest cost entry point among mid-market CRMs—Foundation plan starts at $13/user/month, making it accessible for teams validating CRM fit before committing.
  • Integrated sales automation and email sequencing on Pro plans without requiring a separate email marketing platform, per verified Capterra reviews.
  • Consistently praised for intuitive interface and fast onboarding, with case studies reporting 100% team adoption rates within initial deployment periods.
  • Strong customer support responsiveness cited across G2 reviews, with dedicated support tiers available on Enterprise plans.
  • Native integrations with WhatsApp, Facebook Messenger, Instagram, and Slack reduce reliance on third-party middleware for common communication channels.

Object mapping

How Regal.io objects map to Nutshell

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

maps to

Nutshell

Person

1:1
Fully supported

Regal 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

maps to

Nutshell

Lead

1:many
Fully supported

If 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

maps to

Nutshell

Company

1:1
Fully supported

Regal 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)

maps to

Nutshell

Custom Field on Person, Company, or Lead

lossy
Fully supported

Regal 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

maps to

Nutshell

Lead (with campaign metadata as custom fields)

1:1
Fully supported

Regal 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)

maps to

Nutshell

Note on Person

1:1
Fully supported

Regal 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)

maps to

Nutshell

Note on Person

1:1
Fully supported

Regal 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)

maps to

Nutshell

No equivalent

1:1
Fully supported

Regal'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.

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

Nutshell logo

Nutshell gotchas

High

Contact tier limits enforced on import

Medium

No bulk API endpoint requires paginated extraction

Medium

Email sequences not exportable via API

Medium

Foundation plan disables key sales features

Pair-specific challenges

  • Phone-number requirement for contactability does not translate to Nutshell

    Regal requires a phone number on every Contact to trigger Journeys and campaign outreach; Contacts without a phone number are marked non-contactable and excluded from active programs. Nutshell's Person records do not enforce this constraint — a Person can exist with only an email address. During migration scoping, we audit the Regal export for Contacts without phone numbers and present the customer with three options: import them as Nutshell People without a phone field (suitable for email-only nurture), suppress them from the initial load pending phone enrichment, or flag them for manual review. Failing to make this decision before migration results in silently importing non-contactable records that may pollute Nutshell's CRM data quality.

  • Custom Object relationships cannot reconstruct in Nutshell

    Regal's Custom Objects support many-to-one relationships (e.g., multiple Contacts linked to a single mortgage application) and one-to-one relationships (a Contact linked to a single vehicle record). Nutshell's custom fields are entity-scoped and flat — a custom field on a Person record stores a value but cannot establish a shared reference to a separate object record. We map single-value Custom Object properties to Nutshell custom fields, but for multi-contact Custom Object schemas (the co-borrower mortgage example), we flag the relationship as a manual consolidation step and recommend the customer consider a Nutshell Integration or third-party custom junction object if the relationship is operationally critical.

  • AI Agent configurations and Journey logic are non-exportable

    Regal's AI Agent runtime, voice scripts, decision trees, and Journey builder conditions are proprietary and cannot be retrieved via API or UI export. We explicitly exclude these from the migration scope and deliver a written inventory of every active AI Agent, Journey trigger, and campaign cadence with step-by-step conditional rules documented for rebuild in Nutshell Automations (deal stage triggers) or in a third-party sequencing tool if the customer maintains outbound cadence requirements. Call transcript data and campaign goal metrics migrate so the business context is preserved even if the agent logic must be recreated.

  • Regal event streams have no direct Nutshell equivalent

    Regal's behavioral Event model (each event has a type, timestamp, properties, and associated Contact) captures real-time customer signals like Application Step 1 Completed, Payment Failed, or Appointment Reminder. Nutshell is a CRM that logs Activities (calls, emails, tasks, meetings) as relationship records, not as a real-time event stream. We triage the customer's event types: high-value events with meaningful metadata migrate as Notes on the Person record, while the raw event stream (which can reach millions of records daily for active Regal accounts) is documented as a structured JSON export for loading into a separate analytics platform if the customer wants to preserve behavioral history.

  • Branded caller ID and CNAM registration does not transfer

    Regal's branded caller ID configuration — the CNAM display name, carrier registration records, and campaign-level caller ID assignments — is tied to Regal's telephony infrastructure and cannot be exported in a form that re-registers at a new provider. We export the configuration as a written record (campaign name, CNAM display string, carrier, registration date) so the customer can re-register with their carrier or a CNAM provider after migration. This is a manual step that must be completed before outbound calling resumes in the new system to maintain answer rates.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
Nutshell logo

Nutshell

Destination

Strengths

  • Simple, intuitive interface with minimal learning curve for sales teams new to CRM
  • Per-seat pricing is transparent and predictable, with annual billing reducing monthly cost
  • Full data export tool available for all account data including backups
  • Open JSON-RPC API allows programmatic access to all core objects
  • Native multichannel engagement (email, SMS, WhatsApp) without third-party add-ons for communication

Weaknesses

  • Reporting and analytics are considered weak, requiring manual Excel exports for detailed analysis
  • No bulk API endpoint—migration requires paginated API reads that must be rate-limited carefully
  • JSON-RPC API is less common than REST, requiring custom integration code compared to standard REST CRMs
  • Add-on costs (Forms, Nutshell IQ, Email Marketing) are per-company charges that stack on top of per-seat pricing
  • Feature restrictions on entry-level plans mean teams often need mid-tier to get basic automation

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 Nutshell.

  • 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 Nutshell 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 Nutshell data migrations

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

Can't find your answer?

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Typical migrations land between three and five weeks for accounts with fewer than 10,000 Contacts and up to five Custom Object schemas. Migrations with high-volume event histories, many-to-one Custom Object relationships, or concurrent Campaign data requiring Lead segmentation move to eight to fourteen weeks because of schema design time, event triage work, and staged batch loading. The AI Agent and Journey rebuild work runs in parallel after the data migration completes and is scoped separately.

Adjacent paths

Related migrations to explore

Ready when you are

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