CRM migration

Migrate from Devi to Nutshell

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

Devi logo

Devi

Source

Nutshell

Destination

Nutshell logo

Compatibility

50%

4 of 8

objects map 1:1 between Devi and Nutshell.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Devi logo

Devi

What's pushing teams away

  • Devi is a lead-monitoring tool, not a full CRM — teams that adopt it for prospecting still need a real CRM (HubSpot, Pipedrive, Attio) downstream, which limits its standalone life cycle.
  • Coverage is Facebook Groups + LinkedIn + Reddit + X. Teams running heavy ICP work on Slack communities, Discord, or YouTube comments outgrow it quickly.
  • Bundled ChatGPT credits run out fast on teams that use the 1-click outreach feature heavily — Solo's 250 calls cap is reached within a single active campaign.
  • Capterra and aggregator footprint is thin compared to established sales-intelligence tools, making procurement diligence harder at larger orgs.
  • Devi's outreach is comment- and DM-based on third-party platforms, which carries the platform-bans risk inherent to any automation that touches Facebook/LinkedIn/Reddit APIs.

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 Devi objects map to Nutshell

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)

maps to

Nutshell

Contact

1:1
Fully supported

If 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)

maps to

Nutshell

Account

1:1
Fully supported

If 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)

maps to

Nutshell

Lead

1:1
Fully supported

Devi'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)

maps to

Nutshell

Opportunity

lossy
Fully supported

If 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)

maps to

Nutshell

Note + Attachment

lossy
Fully supported

Devi 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)

maps to

Nutshell

User

1:1
Fully supported

If 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)

maps to

Nutshell

Custom Fields

lossy
Fully supported

Nutshell 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)

maps to

Nutshell

Note

lossy
Fully supported

Devi'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.

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.

Devi logo

Devi gotchas

High

Platform identity is ambiguous in search results

High

No documented export or API access

Medium

Thin review corpus makes due diligence difficult

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

  • Devi has no confirmed API or bulk export mechanism

    The research corpus for Devi contains zero evidence of a public API, a documented bulk export endpoint, or a data portability feature. This is the highest-risk element of any Devi migration: without programmatic access, we cannot extract data reliably or repeatedly. We require the customer to confirm export capabilities directly with Devi support before engaging FlitStack AI. If Devi cannot produce a structured export (CSV, JSON, or API response), the migration may require manual record-by-record re-entry into Nutshell, which falls outside standard migration scope and requires a separate scoping conversation.

  • Platform identity is unconfirmed

    The devi-official.com domain did not appear in any of the 70 research rows. The only verifiable product reference is a single G2 review of 'Devi AI' describing a social media lead detection tool. We cannot confirm that devi-official.com and 'Devi AI' are the same product, share an API, or have compatible data models. Before any migration scoping, FlitStack AI requires the customer to provide written confirmation of the exact product name, version, and data ownership they want to migrate, along with any account credentials needed to access the data.

  • Devi's data model is unconfirmed and may not be CRM-standard

    Based on the single G2 review, Devi's data model appears focused on social media lead detection (lead records with intent signals, social media profile references, and AI-generated content links) rather than a standard CRM structure with Contacts, Accounts, Deals, and Activities. We treat every object mapping as a hypothesis to be validated against the customer's actual export. If the export reveals non-standard field names or unexpected object types, we apply an extended discovery phase and update the mapping before any ingestion into Nutshell.

  • Nutshell does not have a social media interaction or social listening object

    Devi's core value proposition is high-intent lead detection on social media platforms. Nutshell is a standard CRM and does not have a native social listening, social media interaction, or social media engagement object. We map any social interaction data to Note records attached to the Lead or Contact, but this is a lossy representation: the structured context of which post triggered a lead, the sentiment signal, or the engagement depth is not preserved in a first-class object. The customer should confirm whether this metadata matters for their use case before migration.

  • Nutshell API requires rev-aware updates

    Nutshell's API issues a rev field with every entity response for cache control. When editing records via editContact, editLead, or editAccount, the rev from the last GET request must be included or the update is rejected. We build rev tracking into our ingestion pipeline to avoid conflicts. If a record is modified in Nutshell between our read and write (e.g., by the customer's admin), we re-fetch the rev and retry the update. This adds a small amount of latency per record but prevents accidental data overwrites.

Migration approach

Six steps for a successful Devi to Nutshell data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Devi logo

Devi

Source

Strengths

  • Focuses on a specific workflow — social media high-intent lead detection — which reduces feature bloat for teams doing outbound social selling
  • Generates visual content with AI, potentially reducing the need for a separate design tool
  • One G2 reviewer describes it as working well for its stated purpose with no significant complaints
  • Small-business positioning suggests a low-friction onboarding experience for teams under 10 users
  • Appears to have a free tier or low-cost entry point based on the positive ROI mentions in reviews

Weaknesses

  • Very limited public documentation — no developer docs, no API reference, no community forum evidence found in the research
  • Market presence is thin: only one verifiable G2 review from a real user, making independent due diligence difficult
  • No confirmed data export or API access, which is a critical risk for any team that needs to move data later
  • It is unclear whether devi-official.com and the 'Devi AI' referenced on G2 are the same product, raising identity risk
  • No information available about data residency, security certifications, or compliance posture
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?

Moderate CRM migration. 3 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Devi and Nutshell.

  • Object compatibility

    D

    3 of 8 objects need a manual workaround.

  • 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

    Devi: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Devi 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 Devi to Nutshell data migrations

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

Can't find your answer?

Walk through your Devi to Nutshell migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Devi to Nutshell migrations land between three and five weeks when a structured export is available from Devi and the record count is under 10,000 contacts or leads. Projects requiring multiple rounds of export coordination with Devi support, discovery of non-standard data structures, or reconstruction of social interaction history extend to six to ten weeks. The extended timeline reflects the absence of a documented Devi API, which requires iterative data pull coordination rather than programmatic extraction.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Devi.
Land in Nutshell, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day