CRM migration

Migrate from Bloomr to monday CRM

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

Bloomr logo

Bloomr

Source

monday CRM

Destination

monday CRM logo

Compatibility

88%

7 of 8

objects map 1:1 between Bloomr and monday CRM.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Bloomr logo

Bloomr

What's pushing teams away

  • Limited platform recognition — very few third-party reviews or community discussions make independent validation difficult.
  • No documented API — absence of public API documentation concerns technical teams about export and integration capability.
  • Scalability uncertainty — no visible enterprise tier or multi-user feature set in public materials.
  • Support responsiveness — a minority of G2 reviewers cite delays or limited support options.
  • Integration ecosystem unclear — no documented connections to common tools like Zapier, Make, or Outlook.

Choosing

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How Bloomr objects map to monday CRM

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

maps to

monday CRM

People (CRM entity)

1:1
Fully supported

Bloomr 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

maps to

monday CRM

Organization (CRM entity)

1:1
Fully supported

Bloomr 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

maps to

monday CRM

Deal (CRM entity)

1:1
Fully supported

Bloomr 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

maps to

monday CRM

Team Member

1:1
Fully supported

Bloomr 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

maps to

monday CRM

Activity / Updates

1:1
Fully supported

Bloomr 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

maps to

monday CRM

Custom Columns

lossy
Mapping required

Bloomr 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

maps to

monday CRM

Custom Object

1:1
Fully supported

If 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

maps to

monday CRM

Tags / Labels

1:1
Fully supported

Bloomr 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.

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.

Bloomr logo

Bloomr gotchas

High

No publicly documented API or export endpoints

High

Workflow and automation data is not exportable

Medium

Attachment and file storage access is unconfirmed

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • Bloomr has no publicly documented API

    The most critical migration risk is Bloomr's absence of any public API documentation, developer reference, or confirmed export endpoints. Every Bloomr-to-Monday.com CRM engagement begins with live API exploration to confirm authentication method, available endpoints, pagination behavior, and rate limits. If no API access is confirmed, we fall back to CSV export from the Bloomr UI. We probe Bloomr's API before committing to a migration timeline, and if export capability is limited to manual UI actions, we scope the engagement accordingly with extended manual-export steps.

  • Monday CRM is built on boards; Bloomr data does not map directly

    Monday.com CRM structures CRM data as People, Organizations, and Deals on dedicated boards with columns rather than as a traditional relational CRM schema. Bloomr Contacts, Companies, and Deals must be restructured into board items during migration. This is not a simple field-to-field mapping; we design the Monday board schema (board name, group names, column types, automations, views) before importing any records. Teams expecting a one-to-one field copy are surprised by the schema-design phase, which is why we front-load discovery.

  • Automation Recipes are gated at Monday Standard tier

    Monday.com automation recipes are only available on the Standard ($14/user/month) and Pro ($24/user/month) tiers. The free plan and Basic plan ($10/user/month) include zero automations. If the customer's Bloomr instance contains automated workflows and the destination Monday workspace is on Basic, automations cannot run at all after migration. We confirm the destination Monday tier during scoping and flag any automation dependency before migration begins. Automations that cannot migrate are documented for manual rebuild regardless of tier.

  • Workflow and automation data does not migrate

    Bloomr workflow rules and automation triggers are not accessible via any documented export mechanism. Monday.com Automation Recipes are a different execution model and cannot be generated from Bloomr's automation configuration. We deliver a written inventory of every Bloomr automation (trigger, conditions, actions) using a workflow audit template during scoping. The customer's admin rebuilds these in Monday's Automation Recipes builder post-migration. We do not build these automations inside the migration scope.

Migration approach

Six steps for a successful Bloomr to monday CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Bloomr logo

Bloomr

Source

Strengths

  • Targets small sales teams and side-job use cases with a low-cost entry tier.
  • Covers fundamental CRM objects — contacts, accounts, deals, activities — for basic pipeline management.
  • Free Starter plan available for teams evaluating CRM fit without upfront commitment.
  • Simple enough for non-technical users to navigate without dedicated admin support.
  • Lightweight deployment with no published minimum system requirements or complex onboarding.

Weaknesses

  • Extremely limited third-party documentation, review volume, and community presence.
  • No publicly documented API schema — API availability, endpoints, and authentication methods are unverified.
  • Small review footprint (only 2 verified G2 reviews as of research date) makes independent validation difficult.
  • Custom field handling, automation export, and bulk data access are unconfirmed capabilities.
  • Pricing and tier feature boundaries are not publicly published, making upgrade path planning speculative.
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Bloomr and monday CRM.

  • Object compatibility

    B

    2 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

    Bloomr: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Bloomr to monday CRM 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 Bloomr to monday CRM data migrations

Answers to the questions buyers ask most during Bloomr to monday CRM migration scoping. Not seeing yours? Book a call.

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Small migrations under 5,000 Contacts, 2,000 Deals, and a simple custom field set complete in two to four weeks. Migrations with multiple custom objects, complex Bloomr-to-Monday field transformations, or large activity histories requiring update-item linkage extend to five to eight weeks. The primary timeline variable is Bloomr data profiling: if Bloomr has no accessible API, manual export steps add time to the discovery phase.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Bloomr.
Land in monday CRM, intact.

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

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