CRM migration
Field-level mapping, validation, and rollback between Bloomr and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Bloomr
Source
Nutshell
Destination
Compatibility
8 of 9
objects map 1:1 between Bloomr and Nutshell.
Complexity
BStandard
Timeline
4-7 weeks
Overview
Migrating from Bloomr to Nutshell centers on a fundamental step up in platform maturity and API transparency. Bloomr covers core CRM objects without publicly documented API endpoints or schema references, which creates uncertainty for technical teams that need verifiable export and integration capability. Nutshell provides a documented REST API covering CRM records, people, and products, making the migration path concrete rather than exploratory. We begin every Bloomr engagement with live API probing to confirm authentication method, available endpoints, pagination behavior, and rate limits before we commit to a timeline. Contacts, accounts, and deals map 1:1 to Nutshell equivalents. Activity records (calls, emails, meetings, tasks) migrate via Nutshell's Bulk API with parent-record lookup resolution. Custom fields discovered during data profiling transfer to typed Nutshell custom fields. Bloomr workflows and automations are not exportable; we deliver a written inventory of every automation with a recommended Nutshell workflow equivalent for your 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 Bloomr 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.
Bloomr
Contact
Nutshell
Person (Nutshell CRM Contact)
1:1Bloomr Contacts map directly to Nutshell Person records. We transfer name fields (first_name, last_name), email address, phone number, and any custom fields discovered during profiling. The Person record is created before any related Account to satisfy the lookup dependency. Bloomr's contact-level custom fields migrate to Nutshell custom fields created during schema design, with field types matched to Nutshell's supported types (text, number, date, picklist, checkbox). Email addresses serve as the dedupe key during import to prevent duplicate Person records.
Bloomr
Company/Account
Nutshell
Account
1:1Bloomr Company records map to Nutshell Account. We transfer company name, domain, industry, size, address, and any custom company properties. The Account record is created before Person records so that the Account lookup on Person is satisfied at insert time. Bloomr's domain field becomes the Account Website field if present. Custom company properties discovered during profiling migrate to typed Nutshell custom fields on Account.
Bloomr
Deal
Nutshell
Deal
1:1Bloomr Deals map to Nutshell Deal records. We transfer deal name, value, stage, owner assignment, expected close date, and associated contacts. Bloomr stage values are mapped to Nutshell stage values during transformation, and if Bloomr uses a custom stage set, we create matching stages in Nutshell before migration. Deal owner resolves by matching the Bloomr owner email to a Nutshell user provisioned before the Deals phase begins.
Bloomr
User/Team Member
Nutshell
User
1:1Bloomr User records map to Nutshell User accounts. We resolve owners by email match across Contact, Account, and Deal records. Any Bloomr User without a matching Nutshell User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on Deals and Contacts cannot proceed until this step is resolved because OwnerId is a required reference on most standard objects.
Bloomr
Activity: Call
Nutshell
Activity (Task with Call subtype)
1:1Bloomr call records map to Nutshell Activity entries with type preserved as Call. Call duration, disposition, and timestamp transfer to corresponding Activity fields. Activity ordering is preserved by setting the activity date to the original Bloomr timestamp. We load call records via Nutshell's Bulk API for volumes over 5,000 records to avoid REST timeout issues.
Bloomr
Activity: Email
Nutshell
Activity (Email record)
1:1Bloomr email engagement records map to Nutshell Activity records with type Email. We transfer subject, body, timestamp, direction (sent/received), and the linked contact reference. If Bloomr exposes email thread threading data, we preserve it in a custom field for context. Email activity migrates via Bulk API when volume exceeds 5,000 records.
Bloomr
Activity: Meeting
Nutshell
Activity (Event record)
1:1Bloomr meeting records map to Nutshell Activity entries with type Meeting. We transfer meeting title, scheduled date and time, duration, location, and attendee list (linked contacts). Meeting ordering and timestamps are preserved. If Bloomr provides attendee details per meeting, we link those contacts to the Activity record.
Bloomr
Activity: Task
Nutshell
Activity (Task record)
1:1Bloomr task records map to Nutshell Activity entries with type Task. We transfer task subject, description, due date, status, and assigned owner (resolved via User mapping). Task completion status migrates directly. If Bloomr tasks are linked to specific Contacts or Deals, we resolve those Lookups and link accordingly.
Bloomr
Custom Fields
Nutshell
Custom Fields
lossyBloomr custom fields on any standard object (Contact, Account, Deal) are discovered during data profiling before migration begins. We create equivalent typed custom fields in Nutshell for each discovered field, matching the Bloomr field type to Nutshell's supported types. Multi-select or checkbox fields in Bloomr become Nutshell picklist or checkbox fields. The custom field mapping is validated in test migration before production begins. Custom field naming preserves the Bloomr label for admin recognition unless a naming conflict exists in the destination.
| Bloomr | Nutshell | Compatibility | |
|---|---|---|---|
| Contact | Person (Nutshell CRM Contact)1:1 | Fully supported | |
| Company/Account | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| User/Team Member | User1:1 | Fully supported | |
| Activity: Call | Activity (Task with Call subtype)1:1 | Fully supported | |
| Activity: Email | Activity (Email record)1:1 | Fully supported | |
| Activity: Meeting | Activity (Event record)1:1 | Fully supported | |
| Activity: Task | Activity (Task record)1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required |
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.
Bloomr gotchas
No publicly documented API or export endpoints
Workflow and automation data is not exportable
Attachment and file storage access is unconfirmed
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
API exploration and data profiling
We begin every Bloomr engagement by probing the live API to confirm authentication method (API key, OAuth, or none), enumerate available endpoints, measure pagination behavior, and identify rate limits. Simultaneously, we profile the data structure to identify all standard objects (Contacts, Accounts, Deals, Users), any custom fields on each object, and engagement records available for migration. This step produces a written API confirmation report and a preliminary data inventory that determines the extraction path for all subsequent phases.
Schema design and field mapping
We design the Nutshell destination schema based on the discovered Bloomr field set. This includes creating custom fields in Nutshell for each Bloomr custom field discovered during profiling, mapping Bloomr field types to Nutshell field types, designing the Account and Contact lookup relationship, and configuring Deal stages. We validate the schema in Nutshell before any production migration begins. If Bloomr's API does not expose activity records, we document this gap and scope activity migration as a manual export fallback or exclude it from the project scope.
User provisioning and owner reconciliation
We extract every distinct Bloomr User referenced on Contact, Account, Deal, and Activity records and match by email against the Nutshell destination account's user list. Any Bloomr User without a matching Nutshell User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on Deals and Contacts cannot proceed until this step is resolved because OwnerId references are required on most standard objects in Nutshell.
Test migration and validation
We run a full migration into the Nutshell destination using production-like data volume and validate record counts, field mapping accuracy, and lookup resolution before production migration begins. The customer's point of contact spot-checks 25-50 random records against the Bloomr source and signs off the mapping before production migration starts. Any field mapping corrections, stage value adjustments, or schema changes happen in this phase, not in production.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Bloomr Companies), Persons (Contacts with AccountId resolved), Deals (with OwnerId and linked Persons resolved), and Activity history (via Bulk API for volumes over 5,000 records with parent-record lookup resolution). Each phase emits a row-count reconciliation report before the next phase begins. We freeze Bloomr write access during cutover and run a final delta migration of any records modified during the cutover window.
Cutover, validation, and automation inventory delivery
We enable Nutshell as the system of record after the final delta pass and deliver the written automation and workflow inventory to the customer's admin team. We support a one-week post-migration window where we resolve any reconciliation issues raised during the first week of live use in Nutshell. We do not rebuild Bloomr automations as Nutshell workflows inside the migration scope; that work is handled by the customer's admin or a Nutshell implementation partner using the inventory document we deliver.
Platform deep dives
Bloomr
Source
Strengths
Weaknesses
Nutshell
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Bloomr and Nutshell.
Object compatibility
3 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
Bloomr: Not publicly documented.
Data volume sensitivity
Bloomr 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
Pick a category, then your source and destination platforms.
Category
FAQ
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