CRM migration
Field-level mapping, validation, and rollback between Bloomr and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Bloomr
Source
monday CRM
Destination
Compatibility
7 of 8
objects map 1:1 between Bloomr and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Migrating from Bloomr to Monday.com CRM is a structural remapping rather than a direct record copy because the two platforms organize data differently. Bloomr uses standard CRM objects (Contacts, Companies, Deals, Activities) but publishes no API documentation, so every migration begins with live data profiling to confirm field names, types, and relationships. Monday.com CRM uses a board-and-item model where CRM entities (People, Organizations, Deals) are first-class objects mapped to board views. We translate Bloomr's Deals into Monday's Deals CRM entity, Bloomr Contacts into Monday People, and Bloomr Companies into Monday Organizations, preserving custom field names as Monday column headers. Activity history migrates as updates and activity items linked to the parent record. Workflow rules and automations cannot migrate as code; we deliver a written inventory of every Bloomr automation for the customer's admin to rebuild using Monday's Automation Recipes.
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 monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Bloomr
Contact
monday CRM
People (CRM entity)
1:1Bloomr Contact records map to Monday.com CRM People. We profile Bloomr's contact fields during discovery to capture name, email, phone, company association, owner, and any custom fields. Custom fields on Bloomr Contacts become Monday column types on the People board (text, number, date, dropdown). Email addresses serve as the dedupe key during import to prevent duplicate People records.
Bloomr
Company/Account
monday CRM
Organization (CRM entity)
1:1Bloomr Company or Account records map to Monday.com CRM Organizations. We map company name, domain, industry, size, and address fields to corresponding Organization fields. Bloomr custom company properties map to Organization columns on the Organizations board. If Bloomr stores a parent-company relationship, we implement this as a LookUp column on the Organizations board pointing to the parent Organization.
Bloomr
Deal/Opportunity
monday CRM
Deal (CRM entity)
1:1Bloomr Deals map to Monday.com CRM Deals. The Deal Name, Value, Stage, Owner, Expected Close Date, and associated Contact and Company migrate directly. Bloomr Deal stages map to Monday Status column values on the Deals board. If Bloomr tracks deal probability or custom deal fields, these become additional columns on the Deals board. Owner assignment resolves by matching Bloomr owner email to Monday Team Member email.
Bloomr
User/Team Member
monday CRM
Team Member
1:1Bloomr User records map to Monday Team Members. We extract distinct owner emails from Bloomr Deals and Contacts and match them against Monday workspace members. Any Bloomr owner without a matching Monday user is placed in a reconciliation queue for the customer to provision before migration continues. User roles and permissions are not migrated; Monday workspace-level permissions are configured post-migration by the customer's admin.
Bloomr
Activity/Task
monday CRM
Activity / Updates
1:1Bloomr activity records (calls, emails, meetings, tasks) map to Monday Activity items on the relevant People, Organization, or Deal board. Activity type maps to a Status or Label column; activity date maps to the Date column; activity notes and subject map to the Update or description field. We link each activity item to its parent CRM entity (Person, Organization, or Deal) using Monday's Connect Boards or LookUp column.
Bloomr
Custom Fields on standard objects
monday CRM
Custom Columns
lossyBloomr custom fields discovered during data profiling become Monday column types. Text fields map to Text columns; numbers map to Number columns; dates map to Date columns; multi-option fields map to Dropdown or Tags columns; boolean fields map to Checkbox columns. Column names match the Bloomr custom field label exactly to preserve meaning. We document the full custom field inventory and corresponding Monday column types in the scoping deliverable.
Bloomr
Custom Object
monday CRM
Custom Object
1:1If Bloomr contains custom objects discovered during profiling, we map them to Monday.com Custom Objects using the Monday API. Custom Objects in Monday allow subfields (text, number, date, link, person) and can be linked to People, Organizations, and Deals via relationship columns. We pre-create the destination Custom Object schema in Monday before importing any data.
Bloomr
Tag/Label
monday CRM
Tags / Labels
1:1Bloomr tags applied to Contacts, Companies, or Deals map to Monday Tags columns on the respective board. Tags are a multi-select column type in Monday, preserving the ability to filter and group records by tag after migration.
| Bloomr | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People (CRM entity)1:1 | Fully supported | |
| Company/Account | Organization (CRM entity)1:1 | Fully supported | |
| Deal/Opportunity | Deal (CRM entity)1:1 | Fully supported | |
| User/Team Member | Team Member1:1 | Fully supported | |
| Activity/Task | Activity / Updates1:1 | Fully supported | |
| Custom Fields on standard objects | Custom Columnslossy | Mapping required | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Tag/Label | Tags / Labels1:1 | 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.
Bloomr gotchas
No publicly documented API or export endpoints
Workflow and automation data is not exportable
Attachment and file storage access is unconfirmed
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Live API exploration and data profiling
We begin every Bloomr engagement by probing the live platform to confirm API availability, authentication method, available endpoints, and record counts. We export sample records across all objects (Contacts, Companies, Deals, Activities, Custom Fields) to profile the actual field names, types, and values present. This step resolves the primary unknown for Bloomr: whether programmatic export is possible or whether the engagement relies on manual CSV export from the UI. The profiling output is a written data inventory with record counts per object and a custom field catalog.
Monday CRM workspace and board design
Using the Bloomr data inventory, we design the Monday.com CRM workspace structure: a People board for Contacts, an Organizations board for Companies, a Deals board for Opportunities, and any additional boards for custom objects. We map Bloomr custom fields to Monday column types (text, number, date, dropdown, lookups, tags) and define board groups, status values, and view configurations (Board, List, Chart). This schema design is validated against the customer's Monday workspace in a sandbox or test environment before production migration begins.
Custom object schema provisioning
If Bloomr contains custom objects or complex lookup relationships (for example, a custom object linking Deals to a custom product table), we pre-create the equivalent Monday Custom Objects via the Monday API before importing any records. This includes defining subfields, relationship columns, and any connect-board links to People, Organizations, or Deals. Schema provisioning happens in a staging pass to catch type mismatches before live data is loaded.
Data extraction and transformation
We extract data from Bloomr using the confirmed method (API or manual CSV export). Extracted records go through a transformation step that maps Bloomr field values to Monday column values, resolves owner emails to Monday Team Members, splits multi-field Bloomr records into Monday board items, and applies dedupe logic using email as the primary key for People and Organization name for Organizations. Duplicate records are flagged in a reconciliation report for the customer's review before Monday import.
Monday import and parent-record linkage
We import records into Monday in dependency order: People first (with dedupe applied), Organizations next, Deals last (resolving LookUp columns to People and Organizations at import time). Activity items are imported after their parent CRM entity exists, using Monday's Connect Boards or Item ID lookups to maintain the relationship. Each import phase emits a row-count report comparing source records to Monday records created. We run Monday's duplicate-detection post-import to catch any records that slipped through the transformation pass.
Cutover, validation, and automation handoff
We freeze Bloomr write access during the cutover window, run a delta migration of any records modified since the last extraction, then mark Monday as the system of record. We deliver the workflow audit inventory documenting every Bloomr automation with its trigger, conditions, and actions, plus a recommended Monday Automation Recipe equivalent. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Bloomr automations as Monday Automation Recipes inside the migration scope; that is a separate configuration engagement.
Platform deep dives
Bloomr
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 monday CRM.
Object compatibility
2 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
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