CRM migration
Field-level mapping, validation, and rollback between Devi and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Devi
Source
Nutshell
Destination
Compatibility
4 of 8
objects map 1:1 between Devi and Nutshell.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Migrating from Devi to Nutshell is a discovery-first project because Devi has no documented public API, no confirmed bulk export endpoint, and an opaque data model described in the research corpus only by a single G2 review referencing social media lead detection and AI content generation. Nutshell is a structured CRM with a JSON-RPC API, standard Contact, Account, Lead, and Opportunity objects, and a custom field system on Leads, Accounts, and Contacts. We begin every Devi migration with an extended discovery phase requiring the customer to provide written confirmation of the exact product, a schema document or export from Devi support, and any internal data dictionaries they hold. We map any identified contact or lead records to Nutshell's standard objects, use the Nutshell API for field-typed ingestion with revision-safe updates, and deliver a written inventory of any workflows, automations, or social media interaction data that cannot migrate as records so the customer's admin can rebuild them in Nutshell.
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 Devi 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.
Devi
Contact (inferred)
Nutshell
Contact
1:1If Devi exports a contact record structure (name, email, phone, social handle), it maps to Nutshell Contact. We use the Nutshell JSON-RPC API's editContact method with the rev field for cache-safe updates. The contact's email address serves as the dedupe key. Custom fields from Devi's export map to Nutshell's customFields dictionary if the customer has configured them in Nutshell. If Devi has no contact export, we coordinate with Devi support for a manual data pull and normalize the output to Contact fields before API ingestion.
Devi
Company/Account (inferred)
Nutshell
Account
1:1If Devi's export includes company or organization data tied to contact records, it maps to Nutshell Account. The Account is created first so that AccountId is available as a Lookup when Contact records are ingested. Nutshell's findAccounts method allows post-import reconciliation against the source export. If Devi has no company-level object (as implied by its narrow social-selling focus), contacts are migrated without Account linkage and the customer's admin decides whether to create Accounts from the company domain on email addresses post-migration.
Devi
High-Intent Lead (inferred from G2 review)
Nutshell
Lead
1:1Devi's core feature is high-intent lead detection on social media, which implies a lead record with intent signals and source attribution. We map this to Nutshell Lead, preserving intent score or signal metadata in a custom field (e.g., intent_signal__c) or the Lead Description field. The lead's social media source (LinkedIn, Twitter/X, etc.) maps to a custom field or the Lead Source picklist if the source platform is among Nutshell's allowed values.
Devi
Pipeline / Deal (inferred)
Nutshell
Opportunity
lossyIf Devi's export includes deal or pipeline stage data (e.g., stages named after social media intent levels or custom workflow stages), we map them to Nutshell Opportunity with a Nutshell Sales Process configured to match the source stage names. If Devi has no deal or pipeline object, this step is omitted and the customer builds Opportunity workflows in Nutshell post-migration. We document any inferred pipeline stages in the migration inventory so the admin can configure them in Nutshell.
Devi
AI-Generated Content / Media Asset (inferred)
Nutshell
Note + Attachment
lossyDevi generates visual content with AI as a core feature. Nutshell does not have a native media asset or content library object, but AI-generated images or copy can be stored as Note records with file attachments via ContentDocument and ContentDocumentLink. We flag this as a content migration gap: if the customer needs to preserve AI-generated content as linked attachments, they must provide the files separately and we attach them to the relevant Contact or Lead record. No automated media migration path exists.
Devi
User / Team Member (inferred)
Nutshell
User
1:1If Devi's export includes user or team member records (name, email, role), we resolve them by email against Nutshell Users in the destination org. Any Devi's user without a matching Nutshell User is placed in a reconciliation queue for the customer's admin to provision. Nutshell supports roles and permissions per user, which we document in the handoff inventory for admin configuration post-migration.
Devi
Custom Fields (if any discovered)
Nutshell
Custom Fields
lossyNutshell supports custom fields on Leads, Accounts, and Contacts via the customFields dictionary in its JSON-RPC API. We pre-create any custom fields in Nutshell before ingesting data, using the field names and types from Devi's export. The Stack Overflow documentation for Nutshell API confirms that custom field values are passed as key-value pairs inside the customFields object and null can be used to delete a value. We coordinate custom field creation with the customer during the discovery phase.
Devi
Social Media Interaction Data (inferred)
Nutshell
Note
lossyDevi's social media lead detection implies interaction history: which posts triggered a lead, which profiles were marked high-intent, and engagement timestamps. Nutshell has no social listening or social media interaction object. We map this data to Note records attached to the relevant Lead or Contact, with the Note body containing the interaction summary (profile, trigger, timestamp). The customer should confirm whether this interaction data is included in any Devi export before migration begins.
| Devi | Nutshell | Compatibility | |
|---|---|---|---|
| Contact (inferred) | Contact1:1 | Fully supported | |
| Company/Account (inferred) | Account1:1 | Fully supported | |
| High-Intent Lead (inferred from G2 review) | Lead1:1 | Fully supported | |
| Pipeline / Deal (inferred) | Opportunitylossy | Fully supported | |
| AI-Generated Content / Media Asset (inferred) | Note + Attachmentlossy | Fully supported | |
| User / Team Member (inferred) | User1:1 | Fully supported | |
| Custom Fields (if any discovered) | Custom Fieldslossy | Fully supported | |
| Social Media Interaction Data (inferred) | Notelossy | 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.
Devi gotchas
Platform identity is ambiguous in search results
No documented export or API access
Thin review corpus makes due diligence difficult
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
Vendor and data confirmation
We request written confirmation from the customer of the exact Devi product in use, the account credentials for data access, and any documentation of Devi's data model the customer has obtained directly from Devi support. If the customer has not yet contacted Devi for an export, we help draft the request and define the expected export format (CSV columns or JSON structure) before scoping proceeds. This step gates all subsequent work because the migration scope is undefined without a confirmed export source.
Extended discovery and schema mapping
We run an extended discovery phase comparing the Devi export structure against Nutshell's object model (Contact, Account, Lead, Opportunity, Note, User). For each field in the Devi export, we assign a Nutshell field or custom field, noting the data type (string, number, date, picklist) and any required transformations (e.g., date format normalization, email domain extraction for Account creation). If the export contains objects not representable in Nutshell (e.g., social media interaction objects), we document them in the migration inventory and propose a Note-based fallback or flag them as non-migratable.
Nutshell destination setup
We configure the Nutshell destination org: creating any custom fields on Leads, Accounts, and Contacts (per the mapping from step 2), configuring Sales Processes and Record Types if pipeline stages from Devi require it, and provisioning any missing Nutshell Users referenced in the export. We validate the Nutshell API credentials and test the rev-aware read-write cycle on a sample record before ingesting the full dataset.
Data extraction and normalization
If Devi produces a structured export (CSV or JSON), we parse it, apply the schema mapping, normalize field values to Nutshell's expected types, and prepare batch payloads for the Nutshell API. If Devi requires a manual pull (screen export, PDF report, or Devi-support-assisted dump), we coordinate the timing and normalize the output into ingestible format. Social media interaction data and AI-generated content references are written to Note bodies or flagged as attachment candidates.
Ingestion with rev tracking and reconciliation
We ingest records into Nutshell in dependency order: Users (validated, not migrated), Accounts (from company data), Contacts (with AccountId resolved), Leads (with intent metadata preserved), Opportunities (if deal data exists), and Notes (for interaction history and content metadata). Each batch is reconciled against the source export row count. We use Nutshell's JSON-RPC API with rev tracking to prevent stale-write conflicts and retry with fresh rev on cache-related errors.
Cutover, validation, and inventory handoff
We run a final delta pass for any records modified during the migration window, then deliver the migration inventory documenting the migrated record counts, any non-migrated data (social interaction objects, AI-generated content attachments), and the custom field schema applied in Nutshell. We include a written recommendation for rebuilding any automation, lead scoring rules, or social listening workflows in Nutshell's native automation tools. We support a five-business-day post-migration reconciliation window where the customer's team identifies any records that require manual correction.
Platform deep dives
Devi
Source
Strengths
Weaknesses
Nutshell
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 3 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Devi and Nutshell.
Object compatibility
3 of 8 objects need a manual workaround.
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
Devi: Not publicly documented.
Data volume sensitivity
Devi 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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